diff --git a/data/_/README.md b/data/_/README.md
deleted file mode 100644
index c341bb64a..000000000
--- a/data/_/README.md
+++ /dev/null
@@ -1,15 +0,0 @@
-# _
-
-This is a dcf data source project, initialized with `dcf::dcf_add_source`.
-
-You can use the `dcf` package to check the project:
-
-```R
-dcf_check()
-```
-
-And process it:
-
-```R
-dcf_process()
-```
diff --git a/data/_/ingest.R b/data/_/ingest.R
deleted file mode 100644
index 814a39a12..000000000
--- a/data/_/ingest.R
+++ /dev/null
@@ -1,12 +0,0 @@
-#
-# Download
-#
-
-# add files to the `raw` directory
-
-#
-# Reformat
-#
-
-# read from the `raw` directory, and write to the `standard` directory
-
diff --git a/data/_/measure_info.json b/data/_/measure_info.json
deleted file mode 100644
index a8cb5ea66..000000000
--- a/data/_/measure_info.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "example_variable": {
-    "id": "example_variable",
-    "short_name": "",
-    "long_name": "",
-    "category": "",
-    "short_description": "",
-    "long_description": "",
-    "statement": "",
-    "measure_type": "",
-    "unit": "",
-    "time_resolution": "",
-    "restrictions": "",
-    "sources": [],
-    "citations": []
-  }
-}
diff --git a/data/_/process.json b/data/_/process.json
deleted file mode 100644
index ffe66aedd..000000000
--- a/data/_/process.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "name": "_",
-  "type": "source",
-  "scripts": [
-    {
-      "path": "ingest.R",
-      "manual": false,
-      "last_run": "2026-07-24 19:12:40",
-      "frequency": 0,
-      "run_time": 0.014,
-      "last_status": {
-        "log": [],
-        "success": true
-      }
-    }
-  ],
-  "checked": "",
-  "check_results": [],
-  "standalone": false
-}
diff --git a/data/_/standard/datapackage.json b/data/_/standard/datapackage.json
deleted file mode 100644
index d76cc027d..000000000
--- a/data/_/standard/datapackage.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "name": "_",
-  "title": " ",
-  "licenses": [],
-  "resources": []
-}
diff --git a/data/abcs/process.json b/data/abcs/process.json
index b66a350a7..a5634e0dd 100644
--- a/data/abcs/process.json
+++ b/data/abcs/process.json
@@ -9,7 +9,42 @@
       "last_run": "2026-05-29 20:08:20",
       "run_time": 7.673,
       "last_status": {
-        "log": ["Rows: 3314 Columns: 3", "⠙ processing source abcs (./data/abcs/ingest.R)\r", "⠙ processing source abcs (./data/abcs/ingest.R)\r── Column specification ────────────────────────────────────────────────────────", "⠙ processing source abcs (./data/abcs/ingest.R)\rDelimiter: \"\\t\"", "chr (3): geography, geography_name, state", "", "⠙ processing source abcs (./data/abcs/ingest.R)\r", "", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.", "⠙ processing source abcs (./data/abcs/ingest.R)\r", "", "⠙ processing source abcs (./data/abcs/ingest.R)\r── downloading resource <https://data.cdc.gov/resource/qvzb-qs6p> ──────────────", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ metadata: <https://data.cdc.gov/api/views/qvzb-qs6p>", "✔ metadata: <https://data.cdc.gov/api/views/qvzb-qs6p> [433ms]", "", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ data: <https://data.cdc.gov/api/views/qvzb-qs6p/rows.csv>", "✔ data: <https://data.cdc.gov/api/views/qvzb-qs6p/rows.csv> [2.2s]", "", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ compressing data", "✔ compressing data [265ms]", "", "⠙ processing source abcs (./data/abcs/ingest.R)\rRows: 17 Columns: 4", "⠙ processing source abcs (./data/abcs/ingest.R)\r", "⠙ processing source abcs (./data/abcs/ingest.R)\r── Column specification ────────────────────────────────────────────────────────", "⠙ processing source abcs (./data/abcs/ingest.R)\rDelimiter: \",\"", "chr (1): st", "dbl (3): over65, a50_64_with_indication, a50_64_no_indication", "", "⠙ processing source abcs (./data/abcs/ingest.R)\r", "", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.", "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.", "⠙ processing source abcs (./data/abcs/ingest.R)\r"],
+        "log": [
+          "Rows: 3314 Columns: 3",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r── Column specification ────────────────────────────────────────────────────────",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rDelimiter: \"\\t\"",
+          "chr (3): geography, geography_name, state",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r── downloading resource <https://data.cdc.gov/resource/qvzb-qs6p> ──────────────",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ metadata: <https://data.cdc.gov/api/views/qvzb-qs6p>",
+          "✔ metadata: <https://data.cdc.gov/api/views/qvzb-qs6p> [433ms]",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ data: <https://data.cdc.gov/api/views/qvzb-qs6p/rows.csv>",
+          "✔ data: <https://data.cdc.gov/api/views/qvzb-qs6p/rows.csv> [2.2s]",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ compressing data",
+          "✔ compressing data [265ms]",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rRows: 17 Columns: 4",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r── Column specification ────────────────────────────────────────────────────────",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rDelimiter: \",\"",
+          "chr (1): st",
+          "dbl (3): over65, a50_64_with_indication, a50_64_no_indication",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r",
+          "",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.",
+          "⠙ processing source abcs (./data/abcs/ingest.R)\r"
+        ],
         "success": true
       }
     }
@@ -19,15 +54,9 @@
     "data/abcs/raw/abcs_census_age_stratified_pop_full.csv": {
       "data": "not_compressed"
     },
-    "data/abcs/raw/jiac058_suppl_supplementary_table_s2.csv": {
-      "data": "not_compressed"
-    },
     "data/abcs/raw/ramirez_ofid_2025_ofae727.csv": {
       "data": "not_compressed"
     },
-    "data/abcs/standard/data.csv-MWMJ0G3P8D.gz": {
-      "measures": "missing_info: pop"
-    },
     "data/abcs/standard/data.csv.gz": {
       "measures": "missing_info: pop"
     },
@@ -36,7 +65,6 @@
   "raw_state": 1780000399,
   "standard_state": {
     "./data/abcs/measure_info.json": "8d6338c362e9d496223cab79760a861d",
-    "./data/abcs/standard/data.csv-MWMJ0G3P8D.gz": "78b8a12d7aaea3c489c200214226a7a7",
     "./data/abcs/standard/data.csv.gz": "d981be4e20932bc07480efa99196d903",
     "./data/abcs/standard/uad.csv.gz": "345f174b35f74d44ab6072bdc5d60ec3"
   }
diff --git a/data/abcs/raw/jiac058_suppl_supplementary_table_s2.csv b/data/abcs/raw/jiac058_suppl_supplementary_table_s2.csv
deleted file mode 100644
index 65c4b2077..000000000
--- a/data/abcs/raw/jiac058_suppl_supplementary_table_s2.csv
+++ /dev/null
@@ -1,2779 +0,0 @@
-State,LABID,sero,cluster,PEH,IDU,LT5,LTCF,Pili,ST,1a,2b,2x,penMIC,"Ery,Cli",cot,tet,otherR,contigs,N50,longest,total bases,Accession
-CA,20200973,1,neg,neg,neg,neg,neg,2,303,10,44,1030,0.03,neg,FolP169,neg,neg,104,77859,143934,2091709,SAMN20409050
-CA,20200963,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,71,71811,245946,1974676,SAMN20409041
-CA,20200980,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,tet,neg,87,129993,259731,2032897,SAMN20409057
-CA,20200988,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,tet,neg,80,62748,165859,2020690,SAMN20409065
-CA,20201005,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,97,61584,140583,1977656,SAMN20409081
-CA,20201022,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,53,83378,134061,1971930,SAMN20409096
-CA,20203111,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,62,84259,142900,2019727,SAMN20397930
-CA,20203112,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,73,75781,259745,1974350,SAMN20397931
-CA,20203113,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,56,118991,261292,1974526,SAMN20397932
-CA,20203124,3,neg,neg,pos,neg,neg,neg,180,2,0,371,0.03,neg,neg,neg,neg,60,127738,273850,1976684,SAMN20397943
-CA,20203129,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,56,104295,261731,1975970,SAMN20397948
-CA,20203156,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,66,79025,180907,1976422,SAMN20397975
-CA,20203162,3,neg,neg,neg,neg,neg,neg,newST,2,0,136,0.03,neg,neg,neg,neg,101,42629,102400,1975832,SAMN20397981
-CA,20204000,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,67,75703,266306,1987582,SAMN20398197
-CA,20204003,3,neg,neg,neg,neg,neg,neg,180,462,0,2,0.03,neg,neg,neg,neg,41,131884,216331,1974843,SAMN20398200
-CA,20204025,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB,neg,tetM,cat,89,47518,147110,2041864,SAMN20398221
-CA,20205083,3,neg,neg,neg,neg,neg,neg,180,2,0,12,0.03,neg,neg,neg,neg,64,117243,212289,1975267,SAMN20398292
-CA,20205110,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,46,166886,308915,2023358,SAMN20398318
-CA,20206930,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,111,35292,176632,1974764,SAMN20398358
-CA,20201002,3,neg,pos,neg,neg,neg,neg,180,2,0,999,0.03,neg,neg,neg,neg,127,36698,126098,1974361,SAMN20409079
-CA,20200994,3,neg,unk,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,89,61146,218783,1974272,SAMN20409071
-CA,20200990,4,neg,neg,neg,neg,neg,1,244,0,0,3,0.03,neg,"FolA-I100L,FolP178",neg,neg,223,34891,95559,2093399,SAMN20409067
-CA,20201010,4,neg,neg,neg,neg,neg,1,244,0,0,3,0.03,neg,"FolA-I100L,FolP178",neg,neg,103,64778,143265,2115730,SAMN20409086
-CA,20203108,4,neg,neg,neg,neg,neg,1,695,0,0,0,0.03,neg,neg,neg,neg,116,47536,147759,2117992,SAMN20397927
-CA,20203118,4,neg,neg,neg,neg,neg,1,695,0,0,0,0.03,neg,neg,neg,neg,130,44831,170245,2117819,SAMN20397937
-CA,20204018,4,neg,neg,neg,neg,neg,1,205,0,0,3,0.03,neg,neg,neg,neg,112,49014,123922,2100974,SAMN20398214
-CA,20205077,4,neg,pos,pos,neg,neg,1,244,0,0,3,0.03,neg,"FolA-I100L,FolP178",neg,neg,87,84331,143278,2118981,SAMN20398286
-CA,20203999,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,46,98379,218980,1995691,SAMN20398196
-CA,20204024,8,neg,neg,pos,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,53,97404,391743,1991555,SAMN20398220
-CA,20205094,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,119,47372,145691,1984704,SAMN20398303
-CA,20200962,8,neg,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,45,129344,538710,1990228,SAMN20409040
-CA,20205105,13,neg,neg,neg,neg,neg,1,574,11,0,0,0.03,neg,neg,neg,neg,78,78270,178221,2088450,SAMN20398313
-CA,20201011,14,neg,neg,neg,neg,pos,neg,876,60,16,312,2,ermB,neg,tetM,neg,71,103062,191552,2097608,SAMN20409087
-CA,20203140,14,neg,neg,neg,neg,neg,neg,876,60,16,312,2,ermB,neg,tetM,neg,110,54104,191550,2093919,SAMN20397959
-CA,20200970,20,neg,neg,pos,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,81,112861,226651,2052116,SAMN20409048
-CA,20205079,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,103,64343,196699,2087604,SAMN20398288
-CA,20206153,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,73,112560,170744,2088144,SAMN20398347
-CA,20200997,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,114,49317,133744,2020436,SAMN20409074
-CA,20203099,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,97,51979,111019,2015972,SAMN20397918
-CA,20203168,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,97,59860,183967,2021962,SAMN20397987
-CA,20204017,31,neg,neg,neg,neg,neg,neg,8948,12,0,793,0.03,neg,neg,neg,neg,83,88459,236867,2084507,SAMN20398213
-CA,20204002,34,neg,neg,neg,neg,neg,neg,16669,0,0,2,0.03,neg,neg,neg,neg,92,62586,305681,2093615,SAMN20398199
-CA,20204011,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,62,80364,180699,2074820,SAMN20398208
-CA,20205114,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,74,85604,180149,2143077,SAMN20398322
-CA,20205087,38,neg,neg,neg,neg,pos,neg,9325,150,1,229,0.25,"ermB,mef,msrD","FolA-I100L,FolP184",tetM,neg,153,43586,103848,2239394,SAMN20398296
-CA,20205111,38,neg,neg,neg,neg,pos,neg,393,2,4,0,0.03,neg,neg,neg,neg,111,55842,264876,2142225,SAMN20398319
-CA,20200991,10A,neg,neg,neg,neg,neg,neg,2068,0,0,2,0.03,neg,neg,neg,neg,104,79733,160591,2066639,SAMN20409068
-CA,20205107,10A,neg,neg,neg,neg,neg,neg,16674,0,5,2,0.03,neg,neg,neg,neg,60,106348,374613,2072665,SAMN20398315
-CA,20206935,10F,neg,neg,neg,neg,neg,neg,909,2,0,3,0.03,neg,neg,neg,neg,60,127439,269722,2059469,SAMN20398363
-CA,20206936,10F,neg,neg,neg,neg,neg,neg,9174,2,183,242,0.03,neg,"FolA-I100L,FolP169",neg,neg,83,80767,249045,2143049,SAMN20398364
-CA,20200972,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,79,74153,278487,2038521,SAMN20409049
-CA,20201006,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,101,51412,327498,2006829,SAMN20409082
-CA,20201014,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,FolP182,neg,neg,46,90609,241113,2012822,SAMN20409090
-CA,20201023,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,47,94342,405183,2001774,SAMN20409097
-CA,20203104,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,55,85357,234850,2003447,SAMN20397923
-CA,20203107,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,77,71866,140369,2002752,SAMN20397926
-CA,20203133,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,neg,neg,neg,49,71966,294004,2018237,SAMN20397952
-CA,20203144,11A,neg,neg,neg,neg,pos,2,62,2,6,0,0.03,ermB,neg,tetM,neg,70,86956,269493,2088866,SAMN20397963
-CA,20203160,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,76,70949,281889,2056269,SAMN20397979
-CA,20204023,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,51,79946,277277,2015063,SAMN20398219
-CA,20204027,11A,neg,neg,neg,neg,neg,neg,8605,7,12,135,0.25,ermB,"FolA-I100L,FolP169",tetM,neg,97,61878,179696,2081678,SAMN20398223
-CA,20203096,11A,neg,pos,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,60,85888,184717,2008192,SAMN20397915
-CA,20204016,11A,neg,pos,neg,neg,neg,neg,16670,2,6,10,0.03,neg,neg,neg,neg,61,80817,343669,2021122,SAMN20398212
-CA,20203101,12F,neg,neg,neg,neg,neg,neg,218,0,0,0,0.03,neg,neg,neg,neg,74,76964,180416,1991048,SAMN20397920
-CA,20203109,12F,neg,neg,neg,neg,neg,neg,989,12,4,3,0.03,neg,"FolA-I100L,FolP180",tetM,cat,85,96738,199002,2131148,SAMN20397928
-CA,20203161,12F,neg,neg,neg,neg,neg,neg,16665,0,0,2,0.03,neg,neg,neg,neg,53,118648,238731,2009778,SAMN20397980
-CA,20200969,12F,neg,pos,pos,neg,neg,neg,15314,0,0,2,0.03,neg,neg,neg,neg,61,155756,458980,2011379,SAMN20409047
-CA,20206929,12F,neg,pos,neg,neg,neg,neg,15315,0,0,2,0.03,neg,neg,neg,neg,60,93261,359691,2016767,SAMN20398357
-CA,20200960,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,60,120029,360302,2067356,SAMN20409038
-CA,20203102,15A,neg,neg,neg,neg,neg,neg,newST,76,0,2,0.03,neg,neg,neg,neg,149,43002,112380,2101224,SAMN20397921
-CA,20203115,15A,neg,neg,neg,neg,pos,1,3811,1,0,0,0.03,neg,neg,neg,neg,94,69280,247700,2105542,SAMN20397934
-CA,20203136,15A,neg,neg,neg,neg,neg,neg,2186,76,0,2,0.03,neg,neg,neg,neg,84,65973,151264,2070273,SAMN20397955
-CA,20204007,15B,neg,neg,neg,neg,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,185,49306,192893,2180274,SAMN20398204
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-CO,20203608,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,92,65339,192976,2050599,SAMN20398041
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-CO,20200831,31,neg,neg,pos,neg,neg,neg,1111,12,0,0,0.03,neg,neg,neg,neg,77,65397,160452,2015101,SAMN20408946
-CO,20203607,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,"mef,msrD",neg,neg,neg,71,67507,183843,2021785,SAMN20398040
-CO,20203622,31,neg,neg,neg,neg,neg,neg,1766,12,0,0,0.03,neg,neg,neg,neg,67,92491,215542,2024436,SAMN20398055
-CO,20203605,31,neg,pos,neg,neg,neg,neg,6029,12,4,ERROR,0.06,neg,"FolA-I100L,FolP169",neg,neg,55,109005,232791,2039620,SAMN20398038
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-CO,20201705,10F,neg,neg,neg,neg,neg,neg,12855,2,0,2,0.03,neg,neg,neg,neg,77,82273,157892,2034269,SAMN20409256
-CO,20196727,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,52,71966,191241,2024665,SAMN20332359
-CO,20200770,11A,neg,neg,neg,neg,neg,1,16650,15,641,26,4,ermB,"FolA-I100L,FolP180",tetM,neg,47,105940,362230,2107639,SAMN20408888
-CO,20200843,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,ParC-A121S,44,149762,338889,2006471,SAMN20408956
-CO,20203589,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,66,76039,182396,2042322,SAMN20398022
-CO,20203600,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,51,71981,328442,2014074,SAMN20398033
-CO,20203619,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,FolP182,neg,neg,103,45344,149480,2004240,SAMN20398052
-CO,20196738,11A,neg,pos,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,70,89482,184451,2058122,SAMN20332370
-CO,20200782,11A,neg,pos,pos,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,73,71967,173467,2062262,SAMN20408900
-CO,20196737,12F,neg,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,73,104316,383567,2020461,SAMN20332369
-CO,20200830,12F,neg,neg,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,109,51377,137276,2025669,SAMN20408945
-CO,20196690,12F,neg,pos,pos,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,59,77650,145998,1981052,SAMN20332324
-CO,20196672,15A,neg,neg,neg,neg,neg,neg,63,NF,27,28,0.12,ermB,FolP180,tetM,neg,67,65376,249616,2063842,SAMN20332308
-CO,20196728,15A,neg,neg,neg,neg,pos,neg,63,24,27,28,0.25,ermB,FolP189,tetM,neg,63,89065,187912,2114026,SAMN20332360
-CO,20200771,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,131,52773,211710,2109522,SAMN20408889
-CO,20200803,15A,neg,neg,neg,neg,neg,neg,11818,24,31,8,0.5,ermB,FolP178,tetM,neg,78,65389,193325,2134642,SAMN20408919
-CO,20200812,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,64,97452,249062,2069332,SAMN20408927
-CO,20200850,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,82,73004,277086,2089044,SAMN20408963
-CO,20196699,15A,neg,pos,pos,neg,neg,neg,63,448,27,28,0.25,ermB,neg,tetM,neg,55,117662,263534,2065065,SAMN20332333
-CO,20196706,15A,neg,pos,neg,neg,neg,neg,newST,1,27,0,0.06,ermB,FolP178,tetM,neg,68,113832,202872,2063722,SAMN20332339
-CO,20203581,15A,neg,unk,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,83,93353,277176,2087243,SAMN20398014
-CO,20200755,15B,neg,neg,neg,pos,neg,neg,199,2,0,2,0.03,neg,neg,neg,neg,79,117734,412461,2104256,SAMN20408873
-CO,20200826,15C,neg,neg,neg,pos,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,66,125506,312814,2072466,SAMN20408941
-CO,20203583,15C,neg,neg,neg,pos,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,189,35312,146144,2137090,SAMN20398016
-CO,20196689,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,54,120607,334755,2047495,SAMN20332323
-CO,20203580,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,64,111410,282094,2087070,SAMN20398013
-CO,20200794,17F,neg,neg,neg,neg,neg,neg,11273,1,0,129,0.12,neg,neg,neg,neg,46,123559,324809,2098118,SAMN20408911
-CO,20196667,18A,neg,pos,neg,neg,neg,neg,7442,25,0,2,0.03,neg,neg,neg,neg,147,46853,93945,2054136,SAMN20332303
-CO,20196686,19A,neg,neg,neg,neg,neg,2,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,78,63422,337257,2070518,SAMN20332320
-CO,20196730,19A,neg,neg,neg,neg,neg,1,2408,2,0,2,0.03,neg,"FolA-I100L,FolP178",tetM,neg,96,80470,226517,2173991,SAMN20332362
-CO,20200760,19A,neg,neg,neg,neg,neg,1,5270,147,338,35,0.5,neg,"FolA-I100L,FolP169",neg,neg,93,93676,153101,2163646,SAMN20408878
-CO,20200814,19A,neg,neg,neg,neg,neg,neg,1936,25,16,85,2,neg,"FolA-I100L,FolP180",neg,neg,71,87014,264847,2114686,SAMN20408929
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-CO,20201719,19A,neg,neg,neg,neg,neg,neg,292,30,0,0,0.03,neg,neg,neg,neg,104,61096,237570,2030507,SAMN20409269
-CO,20203584,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,74,67889,358688,2059822,SAMN20398017
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-CO,20200842,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,91,56920,287421,2149117,SAMN20408955
-CO,20201704,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,101,38373,120887,2112723,SAMN20409255
-CO,20203598,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,84,55254,287412,2065910,SAMN20398031
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-CO,20196716,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,61,87024,227169,2070399,SAMN20332348
-CO,20196717,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,70,83945,183963,2056125,SAMN20332349
-CO,20200758,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,69,69505,195003,2077836,SAMN20408876
-CO,20200774,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,61,77064,190338,2078365,SAMN20408892
-CO,20200800,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,75,59366,224873,2070110,SAMN20408917
-CO,20200827,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,62,85330,298408,2054169,SAMN20408942
-CO,20203585,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,81,59550,184167,2053456,SAMN20398018
-CO,20203593,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,61,77822,217534,2077471,SAMN20398026
-CO,20203614,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,72,64406,217212,2077150,SAMN20398047
-CO,20196685,23A,neg,neg,pos,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,68,90132,275720,2095259,SAMN20332319
-CO,20201712,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,106,50676,158874,2061925,SAMN20409262
-CO,20203612,23A,neg,neg,neg,neg,neg,neg,438,2,0,6,0.03,neg,neg,neg,neg,44,154802,410188,2097767,SAMN20398045
-CO,20196674,23A,neg,pos,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,76,93831,215606,2052118,SAMN20332309
-CO,20200767,23A,neg,pos,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,40,117573,305814,2072453,SAMN20408885
-CO,20203582,23A,neg,pos,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",FolA-I100L,neg,neg,59,119305,289700,2091436,SAMN20398015
-CO,20196666,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,34,192186,361906,2027329,SAMN20332302
-CO,20196711,23B,neg,neg,neg,neg,neg,neg,16639,0,0,0,0.03,neg,neg,neg,neg,83,76081,165840,2065505,SAMN20332344
-CO,20196736,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,81,50658,332770,2098143,SAMN20332368
-CO,20200795,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,101,112398,332848,2163098,SAMN20408912
-CO,20201703,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,82,82557,332801,2131145,SAMN20409254
-CO,20201714,23B,neg,neg,neg,pos,neg,neg,9380,0,1,1,0.25,neg,"FolA-I100L,FolP180",neg,neg,103,53982,154714,2182370,SAMN20409264
-CO,20201717,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,86,54691,157018,2027570,SAMN20409267
-CO,20203616,23B,neg,neg,neg,neg,neg,1,1129,461,46,331,0.5,"mef,msrD","FolA-I100L,FolP178",neg,neg,127,59312,182115,2153876,SAMN20398049
-CO,20201718,28A,neg,neg,neg,neg,neg,neg,494,2,2,2,0.03,ermB,neg,tetM,neg,68,115422,271395,2106161,SAMN20409268
-CO,20196677,33F,neg,neg,neg,neg,neg,neg,8494,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,29,180397,359272,2054604,SAMN20332311
-CO,20196697,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,26,180404,375989,2048102,SAMN20332331
-CO,20200793,33F,neg,neg,neg,pos,neg,neg,10168,4,23,7,1,"mef,msrD",FolP189,neg,neg,30,150835,359273,2044051,SAMN20408910
-CO,20196840,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,64,86794,227322,2127507,SAMN20332374
-CO,20200818,35B,neg,neg,neg,neg,neg,neg,452,0,0,0,0.03,neg,neg,neg,neg,79,79825,195531,2081390,SAMN20408933
-CO,20200848,35B,neg,neg,neg,pos,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,59,81963,165394,2012974,SAMN20408961
-CO,20203596,35B,neg,neg,neg,neg,neg,neg,newST,0,0,0,0.03,neg,neg,neg,neg,76,94491,195529,2144277,SAMN20398029
-CO,20196691,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,97,71514,272999,2121187,SAMN20332325
-CO,20200786,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,76,87373,304074,2118642,SAMN20408903
-CO,20200833,35F,neg,pos,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,58,113242,360856,2062126,SAMN20408948
-CO,20196705,6C,neg,neg,neg,neg,pos,neg,1292,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,90,84333,280048,2109107,SAMN20332338
-CO,20200852,6C,neg,neg,neg,neg,neg,neg,newST,1,4,21,0.06,neg,neg,neg,neg,87,70902,169845,2125550,SAMN20408965
-CO,20203631,6C,neg,neg,neg,neg,neg,neg,1692,2,6,0,0.03,neg,neg,neg,neg,82,107055,271528,2090646,SAMN20398061
-CO,20203575,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,121,45994,164884,2089904,SAMN20398008
-CO,20196675,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,49,134934,184979,2047812,SAMN20332310
-CO,20196681,9N,neg,neg,neg,neg,neg,neg,4666,23,0,0,0.03,"mef,msrD",neg,neg,neg,165,43640,177761,2082800,SAMN20332315
-CO,20196683,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,"FolA-I100L,FolP180",neg,neg,90,130322,334824,2089141,SAMN20332317
-CO,20196708,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,116,44464,144494,2031152,SAMN20332341
-CO,20200836,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,47,89040,273237,2045870,SAMN20408951
-CO,20200840,9N,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,76,92679,323363,2048249,SAMN20408954
-CO,20201700,9N,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,122,45794,118375,2086251,SAMN20409251
-CO,20203606,9N,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,81,90569,287509,2083066,SAMN20398039
-CO,20196726,9N,neg,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,74,96552,188535,2131854,SAMN20332358
-CO,20200835,9N,neg,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,55,131844,356486,2083777,SAMN20408950
-CO,20201709,9N,neg,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,42,124451,197445,2045795,SAMN20409260
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-CO,20196670,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,60,94235,216296,1975654,SAMN20332306
-CO,20196679,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,106,46877,165865,1976283,SAMN20332313
-CO,20196707,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,44,127592,297402,1976203,SAMN20332340
-CO,20196725,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,69,66294,203586,1975183,SAMN20332357
-CO,20196729,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,69,65510,216286,1974236,SAMN20332361
-CO,20196733,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,187903,263597,1976518,SAMN20332365
-CO,20196734,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,128,35903,127146,1974877,SAMN20332366
-CO,20200757,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,65,76057,265299,1976248,SAMN20408875
-CO,20200763,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,59,91186,261816,1975418,SAMN20408881
-CO,20200765,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,54,81389,187875,1975733,SAMN20408883
-CO,20200798,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,49,170164,261714,1975340,SAMN20408915
-CO,20200804,3,pos,neg,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,82,73648,188484,1976194,SAMN20408920
-CO,20200808,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,47,131622,216322,1974396,SAMN20408924
-CO,20200816,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,84,56765,131554,1973494,SAMN20408931
-CO,20200817,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,73,105371,263420,2022339,SAMN20408932
-CO,20200820,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,71,81582,307686,1974013,SAMN20408935
-CO,20200825,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,61,104615,212315,1974601,SAMN20408940
-CO,20200828,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,47,131860,216304,1974261,SAMN20408943
-CO,20201707,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,39,130304,212341,1973960,SAMN20409258
-CO,20201708,3,pos,neg,neg,neg,neg,neg,newST,2,0,2,0.03,neg,neg,neg,neg,49,134859,196050,1975151,SAMN20409259
-CO,20201713,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,39,170028,308323,1973691,SAMN20409263
-CO,20203597,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,71,73706,181545,1975803,SAMN20398030
-CO,20203604,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,41,133306,216334,1975123,SAMN20398037
-CO,20204771,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,151795,216273,1974569,SAMN20398266
-CO,20200768,3,pos,pos,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,129978,216334,1976801,SAMN20408886
-CO,20200813,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,128794,193004,1974384,SAMN20408928
-CO,20200824,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,50,142805,308345,1976413,SAMN20408939
-CO,20200834,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,61,82340,241811,1972323,SAMN20408949
-CO,20203594,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,43,168190,307665,1973328,SAMN20398027
-CO,20203611,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,46,187875,297524,1975647,SAMN20398044
-CO,20204774,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,187895,297544,1974948,SAMN20398269
-CO,20196687,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,64,80159,203867,2006218,SAMN20332321
-CO,20196688,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,68,78121,195613,2009787,SAMN20332322
-CO,20196695,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,73,84473,199980,2007483,SAMN20332329
-CO,20196702,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,62,93142,201080,2005753,SAMN20332335
-CO,20196841,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,63,86621,195617,2006925,SAMN20332375
-CO,20200777,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,82,96540,203875,2012370,SAMN20408895
-CO,20200791,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,54,92973,199600,2007695,SAMN20408908
-CO,20200796,4,pos,neg,neg,neg,neg,neg,10172,1,NF,0,0.03,neg,FolP178,neg,neg,84,59236,195553,2005688,SAMN20408913
-CO,20200811,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,65,81143,225812,2012573,SAMN20408926
-CO,20200821,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,65,93190,195617,2011362,SAMN20408936
-CO,20201706,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,64,85084,196915,2015295,SAMN20409257
-CO,20201716,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,59,81334,195621,2007207,SAMN20409266
-CO,20203592,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,66,85078,195585,2008498,SAMN20398025
-CO,20196684,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,65,80313,203855,2004965,SAMN20332318
-CO,20196703,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,64,85130,195637,2011715,SAMN20332336
-CO,20196704,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,55,123854,284612,2007803,SAMN20332337
-CO,20196718,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,70,118604,203883,2009716,SAMN20332350
-CO,20196723,4,pos,pos,pos,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,52,93015,203717,2007721,SAMN20332355
-CO,20200773,4,pos,pos,pos,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,56,123869,284531,2008136,SAMN20408891
-CO,20200776,4,pos,pos,pos,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,56,134533,220712,2007102,SAMN20408894
-CO,20200783,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,59,96588,195641,2010773,SAMN20408901
-CO,20200805,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,82,79270,186048,2009307,SAMN20408921
-CO,20200807,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,53,96573,202607,2007227,SAMN20408923
-CO,20200845,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,67,96548,203882,2008788,SAMN20408958
-CO,20203586,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,69,85101,203891,2010737,SAMN20398019
-CO,20203595,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,307,47052,127826,2068735,SAMN20398028
-CO,20203603,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,56,87030,203978,2006957,SAMN20398036
-CO,20203609,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,56,85101,200473,2006501,SAMN20398042
-CO,20203630,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,84,80289,195534,2006195,SAMN20398060
-CO,20201701,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,86,53162,145239,1997249,SAMN20409252
-CO,20196693,8,pos,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,58,97428,391665,1993043,SAMN20332327
-CO,20196741,8,pos,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,97,147681,391725,2012584,SAMN20332373
-CO,20196719,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,66,113277,296036,2086190,SAMN20332351
-CO,20200769,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,68,114127,296019,2089206,SAMN20408887
-CO,20200815,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,55,106917,418120,2054384,SAMN20408930
-CO,20200823,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,51,84225,296363,2083621,SAMN20408938
-CO,20200844,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,79,79677,192307,2084225,SAMN20408957
-CO,20200846,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,81,77873,192303,2083879,SAMN20408959
-CO,20203587,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,61,97659,226373,2051986,SAMN20398020
-CO,20196692,20,pos,pos,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,68,77727,197234,2053461,SAMN20332326
-CO,20200775,20,pos,pos,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,77,78792,226369,2052164,SAMN20408893
-CO,20200759,31,pos,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,72,60797,166483,2015298,SAMN20408877
-CO,20201711,31,pos,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,107,52512,165857,2012273,SAMN20409261
-CO,20196740,31,pos,pos,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,68,65109,166531,2018047,SAMN20332372
-CO,20196668,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,78,85785,233311,2029278,SAMN20332304
-CO,20196669,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,93,72635,335310,2030010,SAMN20332305
-CO,20196713,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,77,85789,335330,2029644,SAMN20332345
-CO,20196735,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,64,92071,281875,2029861,SAMN20332367
-CO,20200781,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,74,85749,335290,2027403,SAMN20408899
-CO,20200799,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,76,93438,335290,2027794,SAMN20408916
-CO,20203610,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,79,85785,199819,2028827,SAMN20398043
-CO,20203620,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,66,84595,335350,2028638,SAMN20398053
-CO,20204772,12F,pos,neg,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,57,121688,261428,2028679,SAMN20398267
-CO,20196721,12F,pos,pos,neg,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,65,93474,383433,2027495,SAMN20332353
-CO,20196731,12F,pos,pos,neg,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,78,70958,382982,2028118,SAMN20332363
-CO,20200756,12F,pos,pos,neg,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,69,85028,382954,2024973,SAMN20408874
-CO,20203577,12F,pos,pos,pos,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,76,93434,358974,2027084,SAMN20398010
-CO,20203615,12F,pos,pos,neg,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,71,84379,335230,2026471,SAMN20398048
-CO,20203623,12F,pos,pos,neg,neg,neg,neg,15334,0,0,0,0.03,"mef,msrD",neg,neg,neg,98,70886,253896,2025097,SAMN20398056
-CO,20204775,12F,pos,pos,neg,neg,neg,neg,8707,0,0,0,0.03,"mef,msrD",neg,neg,neg,64,104328,384006,2016717,SAMN20398270
-CO,20203591,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,64,86299,467286,2108626,SAMN20398024
-CO,20203621,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,70,69505,287652,2109904,SAMN20398054
-CO,20200780,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,81,83829,190100,2060970,SAMN20408898
-CO,20200785,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,80,57310,210534,2068923,SAMN20408902
-CO,20200792,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,74,60012,209283,2070424,SAMN20408909
-CO,20200810,22F,pos,pos,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,69,65121,192495,2080947,SAMN20408925
-CO,20200822,22F,pos,pos,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,66,69646,211014,2081367,SAMN20408937
-CO,20196701,23A,pos,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,38,124785,305692,2074836,SAMN21615104
-CO,20203574,23A,pos,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,124,45975,158563,2073144,SAMN20398007
-CO,20200832,23A,pos,pos,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,41,128894,355743,2073145,SAMN20408947
-CO,20203626,28A,pos,neg,neg,neg,neg,neg,494,2,2,2,0.03,ermB,neg,tet,neg,92,115422,298247,2116573,SAMN20398059
-CO,20196682,28A,pos,pos,pos,neg,neg,neg,494,2,2,2,0.03,ermB,neg,tetM,neg,97,72702,174505,2101569,SAMN20332316
-CO,20196698,28A,pos,pos,neg,neg,neg,neg,494,2,2,2,0.03,ermB,neg,tetM,neg,47,157093,265342,2104469,SAMN20332332
-CO,20200849,28A,pos,pos,neg,neg,neg,neg,494,2,2,2,0.03,ermB,neg,tetM,neg,64,130372,271745,2106546,SAMN20408962
-CO,20196710,35F,pos,neg,neg,pos,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,85,87317,273029,2117729,SAMN20332343
-CO,20201699,35F,pos,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,82,73901,272989,2119998,SAMN20409250
-CO,20203590,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,48,109748,201973,2057382,SAMN20398023
-CO,20196714,9N,pos,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,53,91252,356545,2057477,SAMN20332346
-CO,20200806,9N,pos,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,62,117965,340117,2128357,SAMN20408922
-CO,20203579,9N,pos,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,66,74703,315345,2129994,SAMN20398012
-CO,20203601,9N,pos,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,46,97637,188446,2051306,SAMN20398034
-CT,20196320,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,50,109417,179081,1995264,SAMN20332168
-CT,20198075,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,75,52772,144265,1987233,SAMN20332673
-CT,20198086,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,122,49974,160000,1988996,SAMN20332684
-CT,20198088,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,85,53475,192495,1975191,SAMN20332686
-CT,20198089,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,36,187807,282361,1974961,SAMN20332687
-CT,20198094,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,70,69226,197757,1985215,SAMN20332692
-CT,20198096,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,50,130039,229085,1987734,SAMN20332694
-CT,20199211,3,neg,neg,neg,neg,neg,neg,180,2,0,1004,0.03,ermB-G45E,neg,tetM,cat,65,70055,192952,2043298,SAMN20408436
-CT,20199223,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,68,141582,276995,1991742,SAMN20408448
-CT,20199235,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,49,127605,216640,2044745,SAMN20408459
-CT,20199249,3,neg,neg,neg,neg,neg,neg,180,2,NF,2,0.03,neg,neg,neg,neg,90,68679,182905,2021827,SAMN20408473
-CT,20199253,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,103,45265,153266,2021688,SAMN20408477
-CT,20201072,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,43,121895,246549,2041594,SAMN20409115
-CT,20201075,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,101,59235,130036,1986571,SAMN20409118
-CT,20202870,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,43,173103,263366,1987401,SAMN20397868
-CT,20202884,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,53,89787,237963,1975772,SAMN20397882
-CT,20204166,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB,neg,tetM,cat,40,145511,309742,2040960,SAMN20398226
-CT,20204176,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,31,266801,448494,1972538,SAMN20398236
-CT,20204178,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,37,141231,277273,1986410,SAMN20398237
-CT,20204174,4,neg,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,57,84352,225896,2017931,SAMN20398234
-CT,20202850,8,neg,neg,neg,pos,neg,neg,4216,50,0,0,0.03,neg,neg,tetM,neg,88,75017,318848,2087433,SAMN20397849
-CT,20198069,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,84,54696,166301,2015661,SAMN20332667
-CT,20202055,31,neg,neg,neg,neg,neg,neg,8289,12,0,0,0.03,neg,neg,neg,neg,124,35851,117547,2017130,SAMN20409327
-CT,20202856,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,95,51883,153187,2014685,SAMN20397855
-CT,20204194,31,neg,neg,neg,neg,pos,neg,568,12,0,0,0.03,neg,neg,neg,GyrA-I83T,128,35292,80093,2021198,SAMN20398253
-CT,20199248,31,neg,pos,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,67,68579,183959,2016854,SAMN20408472
-CT,20198097,34,neg,neg,neg,neg,neg,neg,547,451,0,2,0.03,neg,neg,neg,neg,95,76865,227300,2108434,SAMN20332695
-CT,20198102,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,74,107315,233462,2118473,SAMN20332700
-CT,20198104,34,neg,neg,neg,neg,neg,neg,547,0,0,1002,0.03,neg,neg,neg,neg,53,119727,296522,2140929,SAMN20332702
-CT,20198107,34,neg,neg,neg,neg,neg,neg,547,0,629,2,0.03,neg,neg,neg,neg,49,123628,233743,2117014,SAMN20332704
-CT,20199210,34,neg,neg,neg,neg,neg,neg,547,0,0,174,0.06,neg,neg,neg,neg,62,99303,279096,2144638,SAMN20408435
-CT,20199727,34,neg,neg,neg,neg,neg,neg,11268,0,0,2,0.03,neg,neg,neg,neg,47,145828,342664,2114336,SAMN20408748
-CT,20202860,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,77,59849,152558,2120014,SAMN20397859
-CT,20204175,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,62,98346,307267,2117606,SAMN20398235
-CT,20199733,37,neg,neg,neg,neg,neg,neg,447,11,4,0,0.03,neg,neg,neg,neg,65,91971,227782,2007927,SAMN20408754
-CT,20198092,38,neg,neg,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,101,51067,158766,2172190,SAMN20332690
-CT,20202883,38,neg,neg,neg,neg,neg,neg,393,2,638,0,0.03,neg,neg,neg,neg,110,49211,301966,2174824,SAMN20397881
-CT,20204184,38,neg,neg,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,147,38722,132675,2129549,SAMN20398243
-CT,20196318,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,92,67568,175381,2075387,SAMN20332166
-CT,20196319,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,98,59891,280582,2102639,SAMN20332167
-CT,20199728,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,73,86190,359405,2058276,SAMN20408749
-CT,20196307,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,88,57401,121941,2058381,SAMN20332155
-CT,20198076,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,54,77913,191237,2045049,SAMN20332674
-CT,20199215,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,49,121336,190542,2004451,SAMN20408440
-CT,20199715,11A,neg,neg,neg,neg,neg,2,62,452,6,0,0.03,neg,neg,neg,neg,58,98625,294572,2016160,SAMN20408736
-CT,20202852,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,65,85880,203613,2018820,SAMN20397851
-CT,20202854,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,75,56663,191981,2035337,SAMN20397853
-CT,20202874,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,70,70900,285601,2051774,SAMN20397872
-CT,20202882,11A,neg,neg,neg,pos,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,70,71277,244126,2003167,SAMN20397880
-CT,20196313,12F,neg,neg,neg,neg,neg,neg,13456,12,183,242,0.12,neg,"FolA-I100L,FolP180",tetM,cat,116,55052,180091,2137758,SAMN20332161
-CT,20204171,12F,neg,neg,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,85,81300,213309,2010933,SAMN20398231
-CT,20198079,15A,neg,neg,neg,neg,neg,neg,1915,67,27,35,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,55,94608,287456,2076695,SAMN20332677
-CT,20198100,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,71,72964,355700,2087490,SAMN20332698
-CT,20198101,15A,neg,neg,neg,pos,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,88,64694,249740,2111964,SAMN20332699
-CT,20198109,15A,neg,neg,neg,neg,neg,neg,10764,0,0,3,0.03,neg,neg,neg,neg,80,64440,164819,2039243,SAMN20332706
-CT,20198111,15A,neg,neg,neg,pos,neg,neg,7473,24,27,73,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,73,89467,321980,2119073,SAMN20332708
-CT,20198114,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,93,65330,153334,2074963,SAMN20332711
-CT,20198115,15A,neg,neg,neg,neg,neg,neg,11279,67,27,35,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,65,96532,287442,2116244,SAMN20332712
-CT,20199206,15A,neg,neg,neg,neg,neg,1,156,453,12,18,0.5,"mef,msrD","FolA-I100L,FolP169",neg,neg,62,86489,290087,2091975,SAMN20408431
-CT,20199208,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,72,105847,355710,2090746,SAMN20408433
-CT,20199229,15A,neg,neg,neg,neg,neg,neg,63,24,27,242,0.25,ermB,neg,tetM,neg,128,47138,113113,2065939,SAMN20408454
-CT,20199243,15A,neg,neg,neg,neg,neg,neg,1915,67,27,35,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,64,123171,287302,2113426,SAMN20408467
-CT,20199731,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,67,131483,355720,2085392,SAMN20408752
-CT,20201073,15A,neg,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,neg,tetM,neg,71,73914,146395,2077219,SAMN20409116
-CT,20202059,15A,neg,neg,neg,neg,neg,neg,1915,67,27,35,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,74,94370,241894,2114892,SAMN20409331
-CT,20202065,15A,neg,neg,neg,neg,neg,neg,newST,60,16,8,2,ermB,neg,tetM,neg,173,38956,152449,2065032,SAMN20409337
-CT,20202853,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,78,65389,184789,2091767,SAMN20397852
-CT,20204168,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,128,54307,138344,2063533,SAMN20398228
-CT,20199716,15A,neg,pos,neg,neg,neg,neg,2613,34,89,147,2,ermB,neg,tetM,neg,71,65099,274958,2112648,SAMN20408737
-CT,20198091,15B,neg,neg,neg,neg,neg,neg,16643,2,0,2,0.03,neg,neg,neg,neg,56,109311,261412,2061162,SAMN20332689
-CT,20204170,15B,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,neg,neg,neg,neg,70,91408,201403,2077676,SAMN20398230
-CT,20198090,15C,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,67,118626,312848,2110346,SAMN20332688
-CT,20199615,15C,neg,neg,neg,pos,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,74,98913,309062,2105967,SAMN20408639
-CT,20202879,15C,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,82,71754,229345,2066820,SAMN20397877
-CT,20204180,15C,neg,neg,neg,neg,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,79,80433,173455,2089160,SAMN20398239
-CT,20196300,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,141,68986,298298,2156084,SAMN20332148
-CT,20196301,16F,neg,neg,neg,neg,neg,neg,15335,0,4,0,0.03,neg,neg,neg,neg,113,44708,131193,2128429,SAMN20332149
-CT,20196308,16F,neg,neg,neg,neg,neg,neg,3157,0,0,116,0.06,neg,neg,neg,neg,100,105763,147645,2101816,SAMN20332156
-CT,20196311,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,40,166930,372065,2057748,SAMN20332159
-CT,20196315,16F,neg,neg,neg,pos,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,97,86379,135874,2105841,SAMN20332163
-CT,20198085,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,69,91895,298833,2098402,SAMN20332683
-CT,20198110,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,67,85679,242053,2045333,SAMN20332707
-CT,20199216,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,68,116317,298286,2087806,SAMN20408441
-CT,20199236,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,48,105279,347496,2053898,SAMN20408460
-CT,20199246,16F,neg,neg,neg,neg,neg,neg,15277,0,10,2,0.03,neg,neg,neg,neg,63,102732,202093,2116948,SAMN20408470
-CT,20199719,16F,neg,neg,neg,neg,pos,neg,995,9,4,3,0.03,neg,neg,neg,neg,62,115140,342841,2061240,SAMN20408740
-CT,20202857,16F,neg,neg,neg,neg,neg,neg,15378,9,0,3,0.03,neg,neg,neg,neg,66,115928,276077,2056867,SAMN20397856
-CT,20202864,16F,neg,neg,neg,neg,neg,neg,3157,0,0,3,0.03,neg,neg,neg,neg,105,54866,189709,2086487,SAMN20397863
-CT,20204167,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,58,121009,298325,2091594,SAMN20398227
-CT,20204195,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,73,101043,204940,2093782,SAMN20398254
-CT,20198078,16F,neg,unk,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,71,111597,389135,2086521,SAMN20332676
-CT,20199721,17F,neg,neg,neg,neg,neg,neg,392,11,0,0,0.03,neg,neg,neg,neg,66,77147,175422,2076431,SAMN20408742
-CT,20196305,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,161,37237,109506,2167626,SAMN20332153
-CT,20196323,19A,neg,neg,neg,neg,neg,neg,199,0,29,11,0.12,neg,neg,neg,neg,72,84246,323360,2115973,SAMN20332171
-CT,20198106,19A,neg,neg,neg,neg,neg,neg,2081,1,0,187,0.03,neg,neg,neg,neg,90,81069,261873,2071427,SAMN20332703
-CT,20198113,19A,neg,neg,neg,neg,neg,neg,695,8,268,11,0.12,neg,neg,neg,neg,174,44553,127216,2169366,SAMN20332710
-CT,20199209,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,86,75113,176335,2155308,SAMN20408434
-CT,20199225,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,78,84309,128128,2152883,SAMN20408450
-CT,20201069,19A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,88,68456,223498,2086294,SAMN20409113
-CT,20202063,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,198,30597,97454,2154599,SAMN20409335
-CT,20202876,19A,neg,neg,neg,neg,neg,1:02,newST,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,89,62419,344532,2100545,SAMN20397874
-CT,20204179,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,131,57400,120692,2154648,SAMN20398238
-CT,20204192,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,97,66503,176254,2149187,SAMN20398251
-CT,20204193,19A,neg,neg,neg,neg,neg,1:02,320,13,14,1018,8,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,92,61840,191886,2057423,SAMN20398252
-CT,20196302,19F,neg,neg,neg,neg,neg,2,insufficient quality,2,0,0,0.03,neg,neg,neg,neg,79,55318,288557,2110938,SAMN20332150
-CT,20199221,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,98,46871,224918,2064370,SAMN20408446
-CT,20199723,19F,neg,neg,neg,neg,neg,neg,861,24,27,192,0.12,ermB,neg,tetM,neg,117,52191,288899,2159747,SAMN20408744
-CT,20199725,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,76,51857,287500,2106107,SAMN20408746
-CT,20204183,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,81,53254,286994,2108376,SAMN20398242
-CT,20204186,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,69,84592,288102,2110747,SAMN20398245
-CT,20196304,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,116,46828,159662,2075554,SAMN20332152
-CT,20196316,22F,neg,neg,neg,neg,neg,neg,15329,1,2,2,0.03,neg,neg,neg,neg,112,45991,139841,2085296,SAMN20332164
-CT,20196317,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,74,53138,159734,2081523,SAMN20332165
-CT,20198073,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,82,80071,134343,2072190,SAMN20332671
-CT,20198098,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,74,58785,163414,2075673,SAMN20332696
-CT,20198103,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,"mef,msrD",neg,tetM,neg,71,77566,217244,2117559,SAMN20332701
-CT,20199205,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,"mef,msrD",neg,neg,neg,62,77354,216942,2068397,SAMN20408430
-CT,20199224,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,80,58809,147550,2070787,SAMN20408449
-CT,20199239,22F,neg,neg,neg,neg,neg,neg,433,99,2,2,0.06,neg,neg,neg,neg,71,65101,203560,2117485,SAMN20408463
-CT,20199252,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,68,68715,211680,2077554,SAMN20408476
-CT,20199729,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,68,65739,182561,2053670,SAMN20408750
-CT,20199732,22F,neg,neg,neg,neg,neg,neg,433,1,2,NF,NF,neg,neg,neg,neg,93,55040,221498,2111861,SAMN20408753
-CT,20202880,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,126,39843,106834,2074760,SAMN20397878
-CT,20204189,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,67,73308,204304,2072287,SAMN20398248
-CT,20199212,22F,neg,pos,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,59446,212878,2072012,SAMN20408437
-CT,20196296,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,99,65143,194957,2109354,SAMN20332145
-CT,20196306,23A,neg,neg,neg,neg,pos,neg,42,2,0,6,0.03,neg,neg,neg,neg,58,85718,191444,2055295,SAMN20332154
-CT,20198112,23A,neg,neg,neg,neg,neg,neg,338,19,1,200,0.25,ermB,neg,tetM,neg,76,73387,216073,2109307,SAMN20332709
-CT,20199218,23A,neg,neg,neg,pos,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,50,238231,363690,2057086,SAMN20408443
-CT,20199219,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,60,133296,325780,2052813,SAMN20408444
-CT,20199237,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,79,103690,221992,2061941,SAMN20408461
-CT,20199238,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,50,133458,300859,2089338,SAMN20408462
-CT,20199720,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,71,95340,289150,2040828,SAMN20408741
-CT,20199726,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,61,111672,307431,2102559,SAMN20408747
-CT,20202064,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,107,46503,259603,2064688,SAMN20409336
-CT,20202865,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,45,124821,317270,2117217,SAMN20397864
-CT,20202867,23A,neg,neg,neg,pos,neg,neg,newST,19,1,200,0.25,ermB,neg,tetM,neg,49,114579,306174,2107711,SAMN20397866
-CT,20196321,23B,neg,neg,neg,pos,neg,neg,4557,0,0,0,0.03,"mef,msrD",neg,neg,neg,66,92682,177094,2117519,SAMN20332169
-CT,20198087,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,59,117503,332542,2150284,SAMN20332685
-CT,20198093,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,40,143462,364143,2029066,SAMN20332691
-CT,20199718,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,neg,neg,neg,neg,46,164573,345284,2110576,SAMN20408739
-CT,20199730,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,30,192208,587926,2026641,SAMN20408751
-CT,20202061,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,89,69793,267350,2026282,SAMN20409333
-CT,20202862,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,106,72586,294774,2138669,SAMN20397861
-CT,20196303,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,68,64767,165659,2059839,SAMN20332151
-CT,20198083,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,28,158011,383033,2055635,SAMN20332681
-CT,20199214,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,157985,472405,2054927,SAMN20408439
-CT,20199240,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,23,164750,508675,2053027,SAMN20408464
-CT,20202060,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,24,155694,383022,2054872,SAMN20409332
-CT,20202868,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,30,145583,383058,2055043,SAMN20397867
-CT,20202881,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,24,158040,289727,2054896,SAMN20397879
-CT,20204169,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,36,157914,350250,2050967,SAMN20398229
-CT,20204173,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,19,374428,672520,2066258,SAMN20398233
-CT,20196314,35B,neg,neg,neg,neg,neg,1,558,4,120,7,2,"mef,msrD",neg,neg,neg,55,89830,239714,2056169,SAMN20332162
-CT,20198095,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,44,92628,221671,2007226,SAMN20332693
-CT,20199213,35B,neg,neg,neg,pos,neg,1,558,4,7,7,2,neg,neg,neg,neg,63,86383,194901,2003392,SAMN20408438
-CT,20199226,35B,neg,neg,neg,neg,neg,1,3632,4,49,7,2,"mef,msrD",neg,tetM,neg,56,90928,165559,2024083,SAMN20408451
-CT,20202058,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,60,66086,165440,2005209,SAMN20409330
-CT,20202859,35B,neg,neg,neg,neg,neg,neg,452,0,0,0,0.03,neg,neg,neg,neg,108,59934,114004,2081998,SAMN20397858
-CT,20204165,35B,neg,neg,neg,neg,neg,1,insufficient quality,4,14,7,2,"mef,msrD",neg,neg,neg,56,89813,155638,2013463,SAMN20398225
-CT,20199250,35D,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,39,106057,329419,2014076,SAMN20408474
-CT,20198116,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,122,50203,238281,2052247,SAMN20332713
-CT,20199245,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,78,85836,282631,2068538,SAMN20408469
-CT,20199717,35F,neg,neg,neg,neg,neg,neg,498,3,0,3,0.03,neg,neg,neg,neg,72,104014,262254,2062994,SAMN20408738
-CT,20201074,35F,neg,neg,neg,neg,neg,neg,446,0,0,3,0.03,neg,neg,neg,neg,74,89733,271451,2139725,SAMN20409117
-CT,20196324,6C,neg,neg,neg,neg,neg,neg,1692,2,6,0,0.03,neg,neg,neg,neg,81,93012,239620,2100007,SAMN20332172
-CT,20196325,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,"mef,msrD",neg,neg,neg,94,67995,130427,2088511,SAMN20332173
-CT,20198081,6C,neg,neg,neg,neg,neg,neg,3101,2,0,3,0.03,neg,neg,neg,neg,41,164582,359563,2063554,SAMN20332679
-CT,20198082,6C,neg,neg,neg,neg,neg,1,1092,6,7,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,61,95323,321491,2115255,SAMN20332680
-CT,20198117,6C,neg,neg,neg,neg,neg,neg,4310,2,53,77,0.12,ermB,neg,tetM,neg,105,57400,164343,2228049,SAMN20332714
-CT,20199204,6C,neg,neg,neg,neg,neg,neg,1292,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,66,118819,327858,2109637,SAMN20408429
-CT,20199228,6C,neg,neg,neg,neg,neg,neg,386,2,53,77,0.12,ermB,neg,tetM,neg,134,60713,269996,2226265,SAMN20408453
-CT,20201071,6C,neg,neg,neg,neg,neg,neg,1379,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,87,115049,224937,2075542,SAMN20409114
-CT,20204187,6C,neg,neg,neg,neg,neg,neg,2467,36,34,44,0.5,"mef,msrD",neg,neg,neg,86,87675,174242,2124163,SAMN20398246
-CT,20204188,6C,neg,neg,neg,neg,neg,neg,newST,2,0,1026,0.03,neg,neg,neg,neg,81,81546,210042,2040396,SAMN20398247
-CT,20198074,7C,neg,neg,neg,neg,neg,1,newST,2,4,6,0.03,neg,neg,neg,neg,85,75043,161252,2089999,SAMN20332672
-CT,20199207,7C,neg,neg,neg,neg,pos,1,7260,2,4,6,0.03,"mef,msrD",neg,neg,neg,83,76229,176285,2096450,SAMN20408432
-CT,20202056,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,110,50569,175486,2119267,SAMN20409328
-CT,20202871,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,105,52637,164955,2132695,SAMN20397869
-CT,20198084,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,58,131395,219039,2087319,SAMN20332682
-CT,20199232,9N,neg,neg,neg,neg,neg,neg,10454,454,0,0,0.03,neg,neg,neg,neg,70,81850,311256,2105956,SAMN20408457
-CT,20202863,9N,neg,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,FolP195,neg,neg,65,117983,354744,2115916,SAMN20397862
-CT,20204182,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,78,65056,269975,2064647,SAMN20398241
-CT,20196309,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,43,131140,217072,1980661,SAMN20332157
-CT,20196310,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,103,48223,129247,2028081,SAMN20332158
-CT,20196312,3,pos,neg,neg,neg,neg,neg,180,NF,0,2,0.03,ermB-G45E,neg,tetM,cat,83,63541,114817,2048888,SAMN20332160
-CT,20198071,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,54,130203,212074,1972319,SAMN20332669
-CT,20198072,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,87,68379,210662,2041762,SAMN20332670
-CT,20198080,3,pos,neg,neg,neg,neg,neg,180,2,0,12,0.03,neg,neg,tetM,neg,82,63161,232876,2023091,SAMN20332678
-CT,20198108,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,50,73762,148672,2040513,SAMN20332705
-CT,20199241,3,pos,neg,neg,neg,neg,neg,180,2,0,12,0.03,neg,neg,tetM,neg,48,130279,216264,2024237,SAMN20408465
-CT,20202872,3,pos,neg,neg,neg,neg,neg,15069,2,281,2,0.03,ermB,neg,tetM,neg,72,71670,165377,1992435,SAMN20397870
-CT,20202873,3,pos,neg,neg,neg,neg,neg,15069,2,281,2,0.03,ermB,neg,tetM,neg,79,74249,251968,1991041,SAMN20397871
-CT,20202877,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,46,142739,263935,2021584,SAMN20397875
-CT,20204181,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,46,175427,282292,1975229,SAMN20398240
-CT,20204185,3,pos,neg,neg,neg,neg,neg,180,2,0,12,0.03,neg,neg,tetM,neg,62,129982,202490,2024463,SAMN20398244
-CT,20202062,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,111,82087,142404,2092947,SAMN20409334
-CT,20202851,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,80,83910,166129,2092181,SAMN20397850
-CT,20199227,10A,pos,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,60,94889,262611,2076119,SAMN20408452
-CT,20199233,10A,pos,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,78,78987,222778,2062207,SAMN20408458
-CT,20202066,10A,pos,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,83,58976,160120,2065386,SAMN20409338
-CT,20204190,10A,pos,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,86,86103,262265,2077516,SAMN20398249
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-CT,20202057,19A,pos,neg,neg,neg,neg,1:02,newST,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,171,47196,143399,2058813,SAMN20409329
-CT,20202861,19A,pos,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,126,42741,109397,2161973,SAMN20397860
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-CT,20199251,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,79,62991,175789,2068343,SAMN20408475
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-CT,20199724,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,61,69456,203914,2075369,SAMN20408745
-CT,20202866,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,105,47733,115904,2079802,SAMN20397865
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-CT,20202875,9N,pos,neg,neg,neg,neg,neg,10539,1,0,0,0.03,"mef,msrD",neg,neg,neg,64,86807,184851,2095135,SAMN20397873
-CT,20204191,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,58,122516,204233,2074229,SAMN20398250
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-GA,20201784,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,81,65468,178329,2042362,SAMN20409318
-GA,20202559,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,41,141225,263142,1988256,SAMN20397708
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-GA,20200306,13,neg,neg,pos,neg,neg,neg,newST,0,0,517,0.06,ermB,"FolA-I100L,FolP169",tetM,neg,53,96548,350197,2073679,SAMN20408852
-GA,20201330,13,neg,neg,neg,neg,neg,neg,15393,23,0,0,0.03,neg,FolA-I100L,neg,neg,68,83636,204314,2096746,SAMN20409127
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-GA,20197331,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,110,47670,107320,2019543,SAMN20332475
-GA,20199613,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,73,67132,256109,2032609,SAMN20408638
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-GA,20202537,38,neg,pos,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,149,49287,161042,2121495,SAMN20397687
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-GA,20201323,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,67,96288,262665,2111783,SAMN20409121
-GA,20201781,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,97,68989,151601,2069841,SAMN20409316
-GA,20195354,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,114,51267,196172,2032215,SAMN20331850
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-GA,20197323,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,88,62496,197037,2006483,SAMN20332469
-GA,20199735,11A,neg,neg,neg,neg,neg,2,3276,2,6,0,0.03,"mef,msrD",neg,neg,neg,63,72285,295646,2009848,SAMN20408756
-GA,20201342,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,neg,neg,neg,66,84843,177078,2046958,SAMN20409139
-GA,20201770,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,66,75205,184725,2039631,SAMN20409306
-GA,20201791,11A,neg,neg,neg,neg,neg,2,9750,2,6,0,0.03,"mef,msrD",neg,neg,neg,94,64950,276250,2009261,SAMN20409325
-GA,20202593,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,87,65766,253623,2059593,SAMN20397738
-GA,20202599,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,105,55685,174666,2011762,SAMN20397743
-GA,20203648,11A,neg,neg,neg,neg,neg,neg,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,157,57319,133147,2103717,SAMN20398074
-GA,20203649,11A,neg,neg,neg,neg,neg,neg,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,67,77448,179939,2063468,SAMN20398075
-GA,20194209,12F,neg,neg,neg,neg,neg,neg,220,0,0,17,0.03,neg,neg,neg,neg,83,66211,171776,1985420,SAMN20331790
-GA,20202566,12F,neg,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,62,77618,205677,1980358,SAMN20397715
-GA,20202578,12F,neg,neg,neg,neg,neg,neg,15085,44,0,0,0.03,"mef,msrD",neg,neg,neg,77,81470,356063,1996319,SAMN20397725
-GA,20195380,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,FolA-I100L,neg,neg,170,40078,95621,2088927,SAMN20331875
-GA,20195919,15A,neg,neg,neg,pos,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,139,43593,128649,2110274,SAMN20332023
-GA,20196336,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,83,68987,143577,2083314,SAMN20332184
-GA,20196348,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,102,69805,277011,2092553,SAMN20332195
-GA,20199608,15A,neg,neg,neg,neg,neg,neg,13262,2,0,194,0.06,neg,FolP169,neg,ParC-S79F,47,276565,532677,2078133,SAMN20408633
-GA,20199741,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,89,72956,277058,2088499,SAMN20408761
-GA,20199743,15A,neg,neg,neg,neg,neg,neg,11818,27,31,114,1,ermB,FolP195,tetM,neg,64,75298,249756,2090565,SAMN20408763
-GA,20199751,15A,neg,neg,neg,neg,neg,neg,63,24,27,114,0.5,ermB,FolP195,tetM,neg,125,57874,210655,2090079,SAMN20408771
-GA,20201335,15A,neg,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,FolP178,tetM,neg,158,47044,193085,2066883,SAMN20409132
-GA,20201762,15A,neg,neg,neg,neg,neg,neg,11818,13,31,114,1,ermB,FolP195,tetM,neg,60,95040,218377,2128433,SAMN20409299
-GA,20202570,15A,neg,neg,neg,neg,pos,1,3811,1,0,0,0.03,neg,neg,neg,neg,83,64460,179422,2084030,SAMN20397719
-GA,20194214,15B,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,143,48300,140126,2106018,SAMN20331795
-GA,20194218,15B,neg,neg,neg,neg,neg,neg,insufficient quality,2,0,12,0.03,neg,neg,neg,neg,129,58675,190822,2077318,SAMN20331798
-GA,20195396,15B,neg,neg,neg,pos,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,136,64519,172339,2097969,SAMN20331888
-GA,20195931,15B,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,95,80355,265360,2121617,SAMN20332034
-GA,20200299,15B,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,43,127247,377406,2106440,SAMN20408847
-GA,20201325,15B,neg,neg,neg,neg,neg,neg,1262,14,0,2,0.03,neg,FolP176,neg,neg,103,83383,266222,2101638,SAMN20409123
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-GA,20195358,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,95,52436,209450,2046948,SAMN20331853
-GA,20195904,19A,neg,neg,neg,neg,pos,1:02,320,13,11,648,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,80,65803,320058,2059328,SAMN20332009
-GA,20195913,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,159,39858,166708,2053094,SAMN20332017
-GA,20195932,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,152,48419,163510,2032136,SAMN20332035
-GA,20201785,19A,neg,neg,neg,neg,neg,neg,2013,17,15,430,0.5,neg,"FolA-I100L,FolP180",tetM,neg,62,85053,224448,2080702,SAMN20409319
-GA,20201787,19A,neg,neg,neg,neg,neg,1:02,1451,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,114,57442,320022,2092034,SAMN20409321
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-GA,20195369,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,129,39792,111269,2074103,SAMN20331864
-GA,20195374,22F,neg,neg,neg,neg,neg,neg,9259,1,2,59,0.03,"mef,msrD",neg,neg,neg,291,20677,73443,2104737,SAMN20331869
-GA,20195918,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,274,18250,48199,2064997,SAMN20332022
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-GA,20196344,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,259,14397,55901,2108224,SAMN20332192
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-GA,20198643,22F,neg,neg,neg,neg,neg,neg,433,1,2,27,0.03,"mef,msrD",neg,neg,neg,81,73987,167275,2072577,SAMN20332733
-GA,20199748,22F,neg,neg,neg,neg,pos,neg,214,0,2,0,0.03,neg,neg,neg,neg,31,295720,601975,1989067,SAMN20408768
-GA,20201321,22F,neg,neg,neg,neg,neg,neg,newST,1,2,2,0.03,"mef,msrD",neg,neg,neg,58,91154,298479,2053276,SAMN20409119
-GA,20201783,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,96,49064,130819,2078850,SAMN20409317
-GA,20202542,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,84,61736,298362,2054149,SAMN20397692
-GA,20202543,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,88,49299,129022,2109823,SAMN20397693
-GA,20202550,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,91,47004,106580,2079748,SAMN20397700
-GA,20202552,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,78,58694,186800,2075856,SAMN20397702
-GA,20202558,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,FolA-I100L,neg,neg,75,59329,261129,2079061,SAMN20397707
-GA,20202572,22F,neg,neg,neg,neg,neg,neg,698,0,2,0,0.03,neg,neg,neg,neg,55,101433,176405,1999270,SAMN20397720
-GA,20202575,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,63,77368,199196,2076103,SAMN20397723
-GA,20203661,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,73,69290,227174,2104196,SAMN20398082
-GA,20204197,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,67,85161,223289,2073912,SAMN20398256
-GA,20195389,22F,neg,pos,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,146,35646,97220,2075831,SAMN20331881
-GA,20195356,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,112,49957,141425,2124862,SAMN20331852
-GA,20195365,23A,neg,neg,neg,neg,neg,neg,438,2,NF,NF,0.03,neg,neg,neg,neg,174,32751,98382,2058141,SAMN20331860
-GA,20195922,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,59,111402,308719,2053773,SAMN20332026
-GA,20195930,23A,neg,neg,neg,neg,neg,neg,10323,2,0,0,0.03,neg,neg,neg,neg,200,31920,141478,2066676,SAMN20332033
-GA,20197313,23A,neg,neg,neg,neg,neg,neg,338,0,1,48,0.25,neg,FolP177,neg,neg,57,131190,307349,2086842,SAMN20332459
-GA,20197332,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,39,135398,349251,2060588,SAMN20332476
-GA,20198640,23A,neg,neg,neg,neg,neg,neg,13242,2,0,6,0.03,neg,neg,neg,neg,49,89730,208627,2059162,SAMN20332730
-GA,20198649,23A,neg,neg,neg,neg,neg,neg,438,2,0,6,0.03,neg,neg,neg,neg,58,130100,281322,2044712,SAMN20332738
-GA,20199609,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,38,125138,307514,2062271,SAMN20408634
-GA,20200293,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,65,101591,308702,2148604,SAMN20408841
-GA,20201324,23A,neg,neg,neg,neg,neg,neg,338,0,1,3,0.06,neg,neg,neg,neg,51,117718,226849,2128952,SAMN20409122
-GA,20202549,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,39,158471,611281,2055772,SAMN20397699
-GA,20203670,23A,neg,neg,neg,neg,neg,neg,10323,2,0,1028,0.03,neg,neg,neg,neg,78,90262,135749,2110778,SAMN20398084
-GA,20199738,23A,neg,pos,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,62,116491,224375,2116098,SAMN20408759
-GA,20194208,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,"FolA-I100L,FolP180",neg,neg,141,45793,121666,2101391,SAMN20331789
-GA,20195377,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,neg,neg,neg,neg,65,77303,243020,2068012,SAMN20331872
-GA,20195384,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,180,43244,150992,2139835,SAMN20331878
-GA,20195397,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,"mef,msrD",FolP180,neg,neg,117,61064,150240,2104579,SAMN20331889
-GA,20195914,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,"mef,msrD",neg,neg,neg,121,74338,219698,2190902,SAMN20332018
-GA,20195920,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,47,112464,497692,2026416,SAMN20332024
-GA,20195934,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,162,41155,85495,2024602,SAMN20332036
-GA,20196338,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,109,57860,117877,2069756,SAMN20332186
-GA,20197312,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,"mef,msrD",neg,neg,neg,105,60680,242533,2109563,SAMN20332458
-GA,20197324,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,56,112407,332856,2097814,SAMN20332470
-GA,20199611,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,60,157782,211636,2172743,SAMN20408636
-GA,20199740,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,92,89792,332595,2169712,SAMN20408760
-GA,20200296,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,90,103909,198076,2101721,SAMN20408844
-GA,20200314,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,74,85758,329326,2138545,SAMN20408860
-GA,20200316,23B,neg,neg,neg,neg,neg,neg,newST,2,0,120,0.03,neg,neg,neg,neg,78,65374,118802,2021505,SAMN20408862
-GA,20201339,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,69,112414,314376,2133155,SAMN20409136
-GA,20201341,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,47,156263,267154,2088818,SAMN20409138
-GA,20201769,23B,neg,neg,neg,neg,neg,neg,2705,0,0,1,0.12,"mef,msrD",FolP189,neg,neg,92,78896,252092,2111695,SAMN20409305
-GA,20201773,23B,neg,neg,neg,pos,neg,neg,439,0,0,0,0.03,neg,neg,neg,neg,49,127264,288955,2069843,SAMN20409309
-GA,20202541,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,111,63564,199514,2136713,SAMN20397691
-GA,20202545,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,45,121457,364187,2092702,SAMN20397695
-GA,20202573,23B,neg,neg,neg,neg,neg,neg,16659,12,0,9,0.06,"mef,msrD",neg,neg,neg,103,50452,143850,2097904,SAMN20397721
-GA,20205733,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,56,117446,266566,2097273,SAMN20398337
-GA,20206701,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,81,88560,332849,2137937,SAMN20398351
-GA,20197318,24F,neg,neg,neg,neg,neg,neg,72,2,0,0,0.03,neg,neg,neg,neg,87,79634,293521,2153314,SAMN20332464
-GA,20199746,28A,neg,neg,neg,neg,neg,neg,546,2,2,69,0.06,neg,neg,neg,neg,94,93158,177741,2045234,SAMN20408766
-GA,20195366,33F,neg,neg,neg,neg,neg,neg,14064,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,36,145543,282836,2054206,SAMN20331861
-GA,20195370,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,125,54806,113826,2064176,SAMN20331865
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-GA,20201336,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,83,77021,225682,2128864,SAMN20409133
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-GA,20202582,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,102,59286,179093,2170759,SAMN20397729
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-GA,20201340,6A,neg,neg,neg,neg,neg,neg,newST,6,42,8,R,"mef,msrD","FolA-I100L,FolP195",neg,neg,87,65044,229100,2067260,SAMN20409137
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-GA,20203647,6C,neg,pos,neg,neg,neg,neg,1292,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,63,129187,383087,2114109,SAMN20398073
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-GA,20202540,7C,neg,neg,neg,neg,neg,1,177,2,0,3,0.03,neg,"FolA-I100L,FolP177,180",neg,neg,106,81675,206416,2094591,SAMN20397690
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-GA,20197319,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,70,78756,195119,2059795,SAMN20332465
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-GA,20200311,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,77,79230,317296,2131653,SAMN20408857
-GA,20201338,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,76,81904,170313,2124791,SAMN20409135
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-GA,20201772,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,41,167471,267784,1988328,SAMN20409308
-GA,20201792,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,46,154564,217015,1975236,SAMN20409326
-GA,20202560,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,167299,216270,1974805,SAMN20397709
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-GA,20201334,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,95,57819,141806,1978920,SAMN20409131
-GA,20201766,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,56,69657,205996,1981343,SAMN20409303
-GA,20201779,15B,pos,neg,neg,pos,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,106,58942,129180,2150092,SAMN20409314
-GA,20202563,15B,pos,neg,neg,neg,neg,1,16658,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,88,63168,122415,2191188,SAMN20397712
-GA,20195928,16F,pos,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,160,36134,91801,2058030,SAMN20332031
-GA,20200292,16F,pos,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,56,99505,540996,2054809,SAMN20408840
-GA,20201326,16F,pos,neg,neg,pos,neg,neg,3157,0,0,3,0.03,neg,neg,neg,neg,55,97572,189673,2081340,SAMN20409124
-GA,20201771,16F,pos,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,101,72209,180974,2054118,SAMN20409307
-GA,20201775,16F,pos,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,94,64135,190649,2053558,SAMN20409311
-GA,20202546,16F,pos,neg,neg,neg,neg,neg,3157,0,0,3,0.03,neg,neg,neg,neg,85,77372,189534,2072321,SAMN20397696
-GA,20197321,19A,pos,neg,neg,neg,neg,1:02,newST,13,14,16,4,"mef,msrD","FolA-I100L,FolP195",neg,neg,174,36057,119024,2063991,SAMN20332467
-GA,20200297,19A,pos,neg,neg,neg,neg,neg,2062,16,13,19,0.25,neg,"FolA-I100L,FolP169",neg,neg,68,108687,228081,2096149,SAMN20408845
-GA,20200313,19A,pos,neg,neg,pos,neg,neg,2062,16,13,19,0.25,neg,"FolA-I100L,FolP169",neg,neg,71,113656,212830,2094720,SAMN20408859
-GA,20202547,19A,pos,neg,neg,neg,neg,1:02,1451,13,14,16,4,"mef,msrD","FolA-I100L,FolP195",neg,neg,73,67980,331883,2073655,SAMN20397697
-GA,20198647,22F,pos,neg,neg,pos,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,68,108422,214623,2052994,SAMN20332736
-GA,20199752,22F,pos,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,75,59574,173314,2054756,SAMN20408772
-GA,20201768,22F,pos,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,125,34950,99227,2116347,SAMN20409304
-GA,20202580,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,69,64159,226594,2079334,SAMN20397727
-GA,20202591,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,111,41107,131718,2076519,SAMN20397737
-GA,20199744,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,27,179452,558210,2047150,SAMN20408764
-GA,20202588,33F,pos,neg,pos,neg,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,49,94826,250425,2015661,SAMN20397734
-GA,20202600,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,58,83026,233071,2014820,SAMN20397744
-GA,20194205,35F,pos,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,199,40523,108437,2106519,SAMN20331786
-GA,20197316,35F,pos,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,101,78557,203288,2109167,SAMN20332462
-GA,20195905,9N,pos,neg,neg,neg,neg,neg,10539,1,0,0,0.03,"mef,msrD",neg,neg,neg,58,104163,200103,2091855,SAMN20332010
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-MD,20201516,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,54,168650,287273,2043787,SAMN20409216
-MD,20201517,3,neg,neg,neg,pos,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,45,141300,264277,1988862,SAMN20409217
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-MD,20200887,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,79,119147,200040,2095482,SAMN20408992
-MD,20201521,20,neg,neg,pos,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,55,107433,263524,2053776,SAMN20409221
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-MD,20203994,31,neg,neg,neg,neg,neg,neg,8289,12,0,0,0.03,neg,neg,neg,neg,105,50295,162789,2019878,SAMN20398191
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-MD,20202101,34,neg,neg,neg,pos,pos,neg,547,0,0,2,0.03,neg,neg,neg,neg,51,87447,244890,2083394,SAMN20409372
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-MD,20199427,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,215,25076,87265,2030562,SAMN20408562
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-MD,20199461,11A,neg,neg,neg,neg,neg,neg,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,68,91184,190713,2024689,SAMN20408595
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-MD,20203973,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,65,71208,191272,2060533,SAMN20398172
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-MD,20199409,15A,neg,neg,neg,neg,neg,1,newST,1,0,0,0.03,neg,neg,neg,neg,64,83615,209972,2088399,SAMN20408544
-MD,20199481,15A,neg,neg,neg,neg,neg,1,newST,15,12,995,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,36,140642,362072,2029949,SAMN20408614
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-MD,20201522,15A,neg,neg,neg,neg,neg,neg,1710,24,16,138,0.5,ermB,neg,tetM,neg,72,65075,389253,2109169,SAMN20409222
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-MD,20202100,15A,neg,pos,pos,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,90,74938,240516,2071603,SAMN20409371
-MD,20196960,15B,neg,neg,neg,pos,neg,neg,199,2,0,12,0.03,neg,neg,neg,neg,88,118655,238697,2120440,SAMN20332433
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-MD,20199962,15B,neg,neg,neg,neg,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,80,70015,150314,2096389,SAMN20408827
-MD,20199964,15B,neg,neg,neg,neg,neg,neg,8493,2,0,2,0.03,neg,FolP176,neg,neg,101,80858,140357,2097239,SAMN20408829
-MD,20203964,15B,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,50,107002,312859,2070850,SAMN20398163
-MD,20203971,15B,neg,neg,neg,neg,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,82,70467,204021,2137151,SAMN20398170
-MD,20203991,15B,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,68,96253,312855,2075840,SAMN20398188
-MD,20203981,15C,neg,neg,neg,neg,neg,neg,199,2,0,12,0.03,neg,neg,neg,neg,132,51718,195182,2081051,SAMN20398179
-MD,20203996,15C,neg,neg,neg,neg,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,90,81083,150345,2149561,SAMN20398193
-MD,20196926,16F,neg,neg,neg,neg,neg,neg,newST,0,10,2,0.03,neg,FolP178,neg,ParC-T138I,79,69453,203270,2143080,SAMN20332401
-MD,20196932,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,58,105265,298092,2051390,SAMN20332407
-MD,20196938,16F,neg,neg,neg,neg,neg,neg,995,91,4,3,0.03,neg,neg,neg,neg,77,76685,238473,2044924,SAMN20332413
-MD,20196948,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,88,76344,160348,2097431,SAMN20332423
-MD,20199418,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,58,114741,298368,2047793,SAMN20408553
-MD,20199460,16F,neg,neg,neg,neg,neg,neg,13245,9,4,3,0.03,neg,neg,neg,neg,58,136200,343506,2058202,SAMN20408594
-MD,20199485,16F,neg,neg,neg,neg,neg,neg,995,91,4,3,0.03,neg,neg,neg,neg,65,116567,631478,2044204,SAMN20408617
-MD,20199486,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,79,104804,272227,2067693,SAMN20408618
-MD,20200890,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,53,116052,298598,2048494,SAMN20408995
-MD,20205170,16F,neg,neg,neg,neg,pos,neg,659,9,0,3,0.03,neg,neg,neg,neg,45,196086,342679,2061811,SAMN20398326
-MD,20199413,17F,neg,neg,pos,neg,neg,neg,newST,11,0,172,0.03,neg,neg,neg,neg,68,116899,266183,2085253,SAMN20408548
-MD,20199456,17F,neg,neg,neg,neg,neg,neg,2355,79,26,194,0.06,ermB,neg,tetM,neg,51,176962,285598,2053775,SAMN20408590
-MD,20203968,17F,neg,neg,neg,neg,neg,neg,63,0,27,13,0.25,ermB,"FolA-I100L,FolP180",tetM,neg,62,73739,290794,2078392,SAMN20398167
-MD,20203985,17F,neg,neg,neg,neg,neg,neg,newST,11,0,0,0.03,neg,neg,neg,neg,46,115277,266161,2068822,SAMN20398183
-MD,20203998,17F,neg,neg,neg,neg,neg,neg,63,0,27,13,0.25,ermB,"FolA-I100L,FolP180",tetM,neg,69,67960,276188,2077609,SAMN20398195
-MD,20196944,19A,neg,neg,neg,neg,pos,2,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,83,65511,322161,2023704,SAMN20332419
-MD,20196958,19A,neg,neg,pos,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,57,120454,373400,2033524,SAMN20332432
-MD,20196967,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,89,67470,315852,2035094,SAMN20332440
-MD,20199441,19A,neg,neg,neg,neg,neg,1:02,1451,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,56,119427,397863,2096063,SAMN20408575
-MD,20199467,19A,neg,neg,neg,pos,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,66,82695,243774,2064686,SAMN20408600
-MD,20199475,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,64,83432,356529,2057234,SAMN20408608
-MD,20205172,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,102,63952,147895,2151415,SAMN20398328
-MD,20196939,19F,neg,neg,neg,neg,neg,neg,423,2,0,2,0.03,neg,neg,neg,neg,114,63750,124511,2060027,SAMN20332414
-MD,20196962,19F,neg,neg,neg,neg,pos,2,1258,2,78,3,0.03,neg,neg,neg,neg,95,68452,172343,2106825,SAMN20332435
-MD,20199410,19F,neg,neg,neg,pos,neg,neg,654,11,0,0,0.03,neg,neg,neg,neg,90,54773,283077,2057669,SAMN20408545
-MD,20199444,19F,neg,neg,neg,neg,pos,2,654,2,0,0,0.03,neg,neg,neg,neg,188,40825,161933,2108017,SAMN20408578
-MD,20203963,19F,neg,neg,neg,neg,neg,1,179,34,32,43,2,ermB,neg,tetM,neg,125,59221,211896,2187651,SAMN20398162
-MD,20203975,19F,neg,neg,pos,neg,neg,2,11819,2,0,0,0.03,neg,neg,neg,neg,82,60210,185963,2069821,SAMN20398173
-MD,20203976,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,82,47170,205320,2112129,SAMN20398174
-MD,20203990,19F,neg,neg,neg,neg,neg,2,654,11,0,0,0.03,neg,neg,neg,neg,87,49093,183598,2110474,SAMN20398187
-MD,20196914,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,58946,147977,2077536,SAMN20332392
-MD,20196920,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,79,59647,165423,2065994,SAMN20332398
-MD,20196931,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,162,34763,152188,2065106,SAMN20332406
-MD,20196966,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,75,68509,206719,2054754,SAMN20332439
-MD,20196968,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,103,48065,159649,2078800,SAMN20332441
-MD,20196973,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,"mef,msrD",neg,neg,neg,92,48743,226181,2072218,SAMN20332445
-MD,20196977,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,85,52382,99628,2075426,SAMN20332449
-MD,20196981,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,117,41102,118381,2067246,SAMN20332452
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-MD,20199422,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,162,39864,98424,2074733,SAMN20408557
-MD,20199435,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,107,46948,107162,2071503,SAMN20408569
-MD,20199458,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,115,50429,163174,2074546,SAMN20408592
-MD,20199476,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,84,56794,222209,2079554,SAMN20408609
-MD,20199478,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,88,75840,188465,2052395,SAMN20408611
-MD,20199963,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,107,42701,98439,2077855,SAMN20408828
-MD,20199968,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,69360,203551,2068291,SAMN20408832
-MD,20200900,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,68,65105,228714,2077862,SAMN20409003
-MD,20202102,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,neg,neg,neg,neg,83,56929,204204,2069641,SAMN20409373
-MD,20202108,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,66,77376,182244,2078641,SAMN20409378
-MD,20205178,22F,neg,neg,neg,neg,neg,neg,698,0,2,193,0.03,neg,neg,neg,neg,42,116641,285506,1997157,SAMN20398330
-MD,20196951,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,73,59550,119192,2053947,SAMN20332426
-MD,20196952,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,119,37969,97805,2078686,SAMN20332427
-MD,20196933,22F,neg,pos,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,116,41491,87874,2077844,SAMN20332408
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-MD,20199419,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,47,133080,486594,2118998,SAMN20408554
-MD,20199420,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,55,120659,311043,2101045,SAMN20408555
-MD,20199428,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,40,124900,307096,2060106,SAMN20408563
-MD,20199459,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,76,58356,294334,2062253,SAMN20408593
-MD,20199477,23A,neg,neg,neg,neg,neg,neg,361,0,1,1,0.25,neg,neg,neg,neg,42,195728,305870,2100798,SAMN20408610
-MD,20199967,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,97,59640,215110,2115473,SAMN20408831
-MD,20200888,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,54,104462,299479,2118415,SAMN20408993
-MD,20200889,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,64,121787,425846,2103432,SAMN20408994
-MD,20200898,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,51,103163,182485,2075338,SAMN20409001
-MD,20201512,23A,neg,neg,pos,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,43,195887,317281,2074713,SAMN20409212
-MD,20201520,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,54,116156,223447,2103678,SAMN20409220
-MD,20203988,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,46,129835,262291,2063998,SAMN20398185
-MD,20203992,23A,neg,neg,neg,neg,neg,neg,16668,0,1,1,0.25,neg,FolA-I100L,neg,neg,73,73158,262142,2103235,SAMN20398189
-MD,20205169,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,55,125081,311169,2109224,SAMN20398325
-MD,20203977,23A,neg,unk,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,55,104441,305889,2075848,SAMN20398175
-MD,20196975,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,41,129624,557749,2051890,SAMN20332447
-MD,20196984,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,52,157023,307041,2065336,SAMN20332454
-MD,20199424,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,37,116330,362321,2027548,SAMN20408559
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-MD,20203969,23B,neg,pos,neg,neg,neg,neg,1349,7,1,1,0.25,neg,"FolA-I100L,FolP169",neg,neg,65,118490,306083,2130558,SAMN20398168
-MD,20199434,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,23,218155,444040,2048624,SAMN20408568
-MD,20199462,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,237,47783,186897,2056837,SAMN20408596
-MD,20199487,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,23,227491,345631,2066772,SAMN20408619
-MD,20199493,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,33,190343,383055,2057351,SAMN20408623
-MD,20201513,33F,neg,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,60,83238,374322,2065817,SAMN20409213
-MD,20203984,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,40,137722,302138,2068335,SAMN20398182
-MD,20196943,35B,neg,neg,neg,neg,neg,1,11345,4,7,7,2,neg,"FolA-I100L,FolP173",neg,neg,75,81908,165395,2046485,SAMN20332418
-MD,20199484,35B,neg,neg,neg,pos,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,51,104730,485236,2070401,SAMN20408616
-MD,20199960,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,48,105455,165372,2013489,SAMN20408825
-MD,20200891,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,ParC-S79F,44,93243,202612,2014024,SAMN20408996
-MD,20202110,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,107,57826,105814,2029702,SAMN20397610
-MD,20203635,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,88,60308,147056,2128748,SAMN20398062
-MD,20203636,35B,neg,neg,neg,neg,neg,1,558,4,14,7,2,"mef,msrD",neg,neg,neg,50,89744,165422,2048529,SAMN20398063
-MD,20203989,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,62,81482,190733,2013485,SAMN20398186
-MD,20203993,35B,neg,neg,neg,neg,neg,1,558,125,7,7,2,neg,neg,neg,neg,48,106101,202296,2010963,SAMN20398190
-MD,20205171,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,56,78590,165433,2012938,SAMN20398327
-MD,20205179,35B,neg,neg,pos,neg,neg,1,11584,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,60,82896,251546,2088364,SAMN20398331
-MD,20196954,35B,neg,pos,pos,neg,neg,1,newST,4,7,7,2,"mef,msrD",neg,neg,neg,47,105640,310525,2039455,SAMN20332429
-MD,20199423,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,122,71454,272433,2154116,SAMN20408558
-MD,20199443,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,52,113562,382714,2065294,SAMN20408577
-MD,20199464,35F,neg,neg,neg,neg,neg,neg,446,0,0,3,0.03,neg,neg,neg,neg,70,104878,180622,2113608,SAMN20408598
-MD,20200895,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,73,114077,299646,2107787,SAMN20408998
-MD,20202103,35F,neg,neg,neg,neg,neg,neg,446,0,0,3,0.03,neg,neg,neg,neg,90,82615,266156,2102426,SAMN20409374
-MD,20203970,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,85,108569,273004,2118351,SAMN20398169
-MD,20203966,6A,neg,neg,neg,neg,neg,neg,376,6,42,8,R,"mef,msrD","FolA-I100L,FolP195",neg,neg,99,58427,157941,2124245,SAMN20398165
-MD,20196930,6C,neg,neg,neg,neg,neg,1,1092,6,7,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,58,76159,284665,2153894,SAMN20332405
-MD,20196969,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,neg,neg,neg,neg,140,38282,102423,2123375,SAMN20332442
-MD,20196978,6C,neg,neg,neg,neg,neg,neg,1292,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,108,63030,221472,2047818,SAMN20332450
-MD,20199421,6C,neg,neg,neg,neg,neg,neg,1390,2,0,2,0.03,neg,neg,neg,neg,59,84470,269467,2049237,SAMN20408556
-MD,20199439,6C,neg,neg,neg,neg,neg,neg,1390,15,16,8,1,"mef,msrD",neg,neg,neg,84,93539,269057,2059955,SAMN20408573
-MD,20199483,6C,neg,neg,neg,neg,neg,neg,8446,0,0,124,0.03,ermB,neg,neg,neg,69,106942,211651,2128290,SAMN20408615
-MD,20199488,6C,neg,neg,neg,neg,neg,neg,138,2,0,3,0.03,neg,neg,neg,neg,62,123936,193448,2110275,SAMN20408620
-MD,20196955,7C,neg,neg,neg,neg,neg,neg,2758,2,4,375,0.06,ermB,"FolA-I100L,FolP197",tetM,neg,71,66640,122597,2161069,SAMN20332430
-MD,20199404,7C,neg,neg,neg,neg,neg,neg,newST,2,4,6,0.03,neg,neg,neg,neg,87,78860,202918,2091014,SAMN20408539
-MD,20199407,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,100,64521,203043,2087960,SAMN20408542
-MD,20199432,7C,neg,neg,pos,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,103,74543,138576,2083565,SAMN20408566
-MD,20199449,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,111,76605,164508,2080315,SAMN20408583
-MD,20199452,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,120,51446,167493,2083549,SAMN20408586
-MD,20201519,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,353,30736,84589,2178610,SAMN20409219
-MD,20196963,9L,neg,neg,neg,neg,neg,neg,newST,2,182,265,S,neg,neg,neg,neg,128,49056,128261,2196547,SAMN20332436
-MD,20196927,9N,neg,neg,neg,neg,neg,neg,10539,1,0,0,0.03,"mef,msrD",neg,neg,neg,69,75244,184862,2100862,SAMN20332402
-MD,20196935,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,72,134576,265301,2090432,SAMN20332410
-MD,20196949,9N,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,77,87881,272784,2082739,SAMN20332424
-MD,20199457,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,119,45670,112690,2084717,SAMN20408591
-MD,20199463,9N,neg,neg,neg,neg,neg,neg,10539,1,0,0,0.03,"mef,msrD",neg,neg,neg,91,91338,193098,2130357,SAMN20408597
-MD,20199470,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,71,131605,317229,2091296,SAMN20408603
-MD,20200897,9N,neg,neg,pos,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,46,100088,283988,2054620,SAMN20409000
-MD,20199431,9N,neg,pos,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,80,78995,315371,2087489,SAMN20408565
-MD,20196942,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,67,68929,184784,1986849,SAMN20332417
-MD,20196976,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,53,104751,216410,1975995,SAMN20332448
-MD,20199480,3,pos,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,38,172333,238167,2045966,SAMN20408613
-MD,20199965,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,24,219169,421518,1987772,SAMN20408830
-MD,20200901,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,77,123061,243958,1984625,SAMN20409004
-MD,20202106,3,pos,pos,pos,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,45,130094,392840,2009822,SAMN20409377
-MD,20196953,20,pos,neg,neg,neg,pos,neg,235,1,4,2,0.03,neg,neg,neg,neg,43,132308,358802,2051824,SAMN20332428
-MD,20199469,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,83,96378,226198,2053540,SAMN20408602
-MD,20200892,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,62,112466,226430,2054690,SAMN20408997
-MD,20203978,11A,pos,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,114,43061,127186,2066719,SAMN20398176
-MD,20196956,12F,pos,neg,neg,neg,neg,neg,218,0,0,11,0.06,neg,neg,neg,neg,71,69094,152385,1981565,SAMN20332431
-MD,20205173,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,53,94682,207238,1980309,SAMN20398329
-MD,20196971,15A,pos,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,139,52202,105805,2088053,SAMN20332443
-MD,20199490,15A,pos,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,FolP178,tetM,neg,71,89522,187789,2075525,SAMN20408621
-MD,20200886,15A,pos,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,72,106018,355741,2092945,SAMN20408991
-MD,20201515,15A,pos,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,FolP178,tetM,neg,94,66429,179258,2072427,SAMN20409215
-MD,20202099,15A,pos,neg,neg,neg,neg,neg,63,4,7,114,1,ermB,FolP195,tetM,neg,77,64786,211626,2092334,SAMN20409370
-MD,20203967,15A,pos,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,76,78605,235825,2045798,SAMN20398166
-MD,20196929,19A,pos,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,74,67665,363277,2040795,SAMN20332404
-MD,20196950,19A,pos,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,125,65169,153390,2187206,SAMN20332425
-MD,20199447,19A,pos,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,96,85204,218699,2178066,SAMN20408581
-MD,20203640,19A,pos,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,124,75121,176662,2194506,SAMN20398067
-MD,20203965,19A,pos,neg,neg,neg,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,165,61049,153370,2194494,SAMN20398164
-MD,20205167,19A,pos,neg,neg,pos,neg,1,695,8,0,11,0.12,"mef,msrD",neg,neg,neg,186,57946,127363,2193972,SAMN20398323
-MD,20199479,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,142,38361,98711,2064734,SAMN20408612
-MD,20199969,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,110,48824,161202,2103474,SAMN20408833
-MD,20196936,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,91,47040,113807,2069115,SAMN20332411
-MD,20196964,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,93,59529,116881,2067015,SAMN20332437
-MD,20199430,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,111,49510,175957,2073234,SAMN20408564
-MD,20199437,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,129,53850,121105,2067242,SAMN20408571
-MD,20199446,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,61,85201,191545,2077022,SAMN20408580
-MD,20200899,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,82,56786,182913,2065948,SAMN20409002
-MD,20202111,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,78,82906,178408,2063871,SAMN20397611
-MD,20196959,23A,pos,neg,neg,neg,neg,neg,11859,0,149,1,0.12,neg,neg,neg,neg,57,72785,262557,2091838,SAMN21615105
-MD,20196982,23A,pos,neg,neg,neg,pos,neg,11859,0,149,1,0.12,neg,neg,neg,neg,65,101692,287515,,SAMN21615106
-MD,20199468,7C,pos,neg,neg,neg,neg,neg,3162,2,0,3,0.03,neg,neg,neg,neg,53,198785,344129,2115896,SAMN20408601
-MD,20202105,7C,pos,neg,neg,neg,neg,neg,3162,2,0,3,0.03,neg,neg,neg,neg,71,75862,249339,2115818,SAMN20409376
-MD,20203982,7C,pos,neg,neg,neg,neg,neg,3162,2,0,3,0.03,neg,neg,neg,neg,60,89185,334428,2117310,SAMN20398180
-MD,20196965,7C,pos,pos,pos,neg,neg,neg,3162,2,0,3,0.03,neg,neg,neg,neg,76,79786,334340,2115277,SAMN20332438
-MD,20196919,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,67,110837,199614,2075143,SAMN20332397
-MD,20196924,9N,pos,neg,neg,neg,neg,neg,4666,23,0,0,0.03,neg,neg,neg,neg,92,65308,383348,1996663,SAMN20332399
-MD,20196937,9N,pos,neg,neg,neg,neg,neg,10539,1,0,0,0.03,"mef,msrD",neg,neg,neg,84,63924,118559,2136067,SAMN20332412
-MD,20199425,9N,pos,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,57,114135,199807,2110452,SAMN20408560
-MD,20199970,9N,pos,neg,neg,neg,neg,neg,4666,23,0,0,0.03,neg,neg,neg,neg,59,91057,383401,1996025,SAMN20408834
-MN,20194465,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,222,26046,98480,2029465,SAMN20331806
-MN,20194486,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,82,69795,229482,1989286,SAMN20331823
-MN,20194488,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,70,91317,258771,2026380,SAMN20331825
-MN,20194489,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,156,47223,114234,1982972,SAMN20331826
-MN,20194490,3,neg,neg,neg,neg,neg,neg,180,2,0,972,0.06,ermB,neg,tetM,cat,52,75351,188638,2041986,SAMN20331827
-MN,20195594,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,cat,117,51020,131514,2019010,SAMN20331897
-MN,20195606,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,131,38176,115348,1969962,SAMN20331905
-MN,20195622,3,neg,neg,neg,pos,neg,neg,180,NF,3,2,0.03,neg,neg,neg,neg,208,24376,82140,2014604,SAMN20331916
-MN,20195626,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,118,62827,129834,1968842,SAMN20331919
-MN,20195627,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,176,33600,130878,1969318,SAMN20331920
-MN,20195628,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,67,96786,160005,1986457,SAMN20331921
-MN,20196098,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,138,44142,90182,2046375,SAMN20332058
-MN,20196433,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,101,47276,139629,2042288,SAMN20332202
-MN,20196437,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,neg,57,100393,227180,2033156,SAMN20332205
-MN,20196438,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,125,57155,131180,1987470,SAMN20332206
-MN,20196448,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,84,69221,139387,1987766,SAMN20332215
-MN,20196452,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,77,87717,212658,1988027,SAMN20332219
-MN,20196453,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,94,84557,174733,1967190,SAMN20332220
-MN,20196454,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,102,53904,131518,1973755,SAMN20332221
-MN,20197396,3,neg,neg,neg,neg,neg,1:2,271,17,16,47,2,"ermB,mef,msrD","FolA-I100L,FolP177,180",tetM,neg,60,121229,359258,2050424,SAMN20332537
-MN,20197405,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,38,126641,234613,1987217,SAMN20332546
-MN,20197410,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,58,99182,224110,1973188,SAMN20332551
-MN,20197420,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,103937,216290,1974506,SAMN20332561
-MN,20198674,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,82147,260086,1973186,SAMN20332762
-MN,20198694,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,47,142399,219017,2021341,SAMN20408387
-MN,20198704,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,ParC-L130F,40,141231,356489,2020896,SAMN20408397
-MN,20199698,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,42,132421,327439,1987830,SAMN20408721
-MN,20199768,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,43,230474,371562,2022429,SAMN20408787
-MN,20200945,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,55,97120,192244,1974730,SAMN20409029
-MN,20201481,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,49,167488,340242,2025042,SAMN20409182
-MN,20201484,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,51,103943,308367,1989601,SAMN20409185
-MN,20201486,3,neg,neg,neg,neg,neg,neg,10457,2,0,6,0.03,neg,FolP189,neg,neg,38,245101,552443,2032987,SAMN20409187
-MN,20201503,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,43,132392,218880,1986947,SAMN20409203
-MN,20201508,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,31,323512,430864,1983210,SAMN20409208
-MN,20202135,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,57,92516,197401,1987370,SAMN20397634
-MN,20202151,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,50,130072,218743,1987620,SAMN20397649
-MN,20202760,3,neg,neg,neg,neg,neg,1:2,271,17,16,47,2,"ermB,mef,msrD","FolA-I100L,FolP177,180",tetM,neg,84,81584,277078,2058459,SAMN20397761
-MN,20202785,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,61,106951,216290,2044914,SAMN20397786
-MN,20203815,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,tet,neg,64,63569,192931,2024744,SAMN20398092
-MN,20197359,3,neg,pos,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,61,97280,195882,2038485,SAMN20332501
-MN,20196080,4,neg,neg,neg,neg,neg,1,244,0,0,3,0.03,neg,FolP169,neg,neg,184,28159,74752,2108271,SAMN20332042
-MN,20195616,8,neg,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,155,51573,160525,1981393,SAMN20331912
-MN,20196087,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,50,92722,218788,1990732,SAMN20332049
-MN,20196100,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,99,62940,160591,1989480,SAMN20332060
-MN,20196432,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,64,96880,385875,1990778,SAMN20332201
-MN,20197366,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,39,144152,391619,1991937,SAMN20332508
-MN,20197384,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,50,96474,201115,1991295,SAMN20332526
-MN,20198682,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,58,97024,391136,1993691,SAMN20332770
-MN,20198700,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,85,59227,200157,1992149,SAMN20408393
-MN,20199770,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,50,99967,391172,1994496,SAMN20408789
-MN,20200935,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,30,191602,469085,1991617,SAMN20409019
-MN,20201483,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,52,97040,260431,1991699,SAMN20409184
-MN,20201501,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,48,97096,243001,1991634,SAMN20409201
-MN,20202144,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,41,139715,336744,1993176,SAMN20397643
-MN,20202147,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,64,98216,319002,1992801,SAMN20397645
-MN,20203817,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,40,97972,249871,1992172,SAMN20398094
-MN,20203829,8,neg,neg,neg,neg,neg,neg,newST,3,5,5,0.03,neg,neg,neg,neg,37,132697,392377,1991989,SAMN20398104
-MN,20203840,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,41,139224,336792,1992866,SAMN20398111
-MN,20198671,13,neg,neg,neg,neg,neg,1,574,11,0,0,0.03,"mef,msrD",neg,neg,neg,62,131857,171473,2144186,SAMN20332759
-MN,20195631,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,185,29916,68328,2090128,SAMN20331924
-MN,20196095,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,194,33605,130539,2085758,SAMN20332057
-MN,20196104,20,neg,neg,neg,neg,neg,neg,newST,1,4,2,0.03,neg,neg,neg,neg,239,32320,89458,2071635,SAMN20332063
-MN,20197380,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,68,101807,336113,2090292,SAMN20332522
-MN,20202112,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,81,73209,226715,2090291,SAMN20397612
-MN,20200939,21,neg,neg,neg,neg,neg,neg,432,0,0,2,0.03,neg,neg,neg,neg,73,97116,356585,2123059,SAMN20409023
-MN,20194479,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,106,46545,166338,2013048,SAMN20331818
-MN,20196102,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,70,90316,171002,2040977,SAMN20332061
-MN,20196435,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,90,64167,246612,2036532,SAMN20332203
-MN,20197369,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,60,92032,234830,2061539,SAMN20332511
-MN,20197393,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,"mef,msrD",neg,tetM,neg,91,59285,125512,2051057,SAMN20332534
-MN,20198696,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,83,59658,166337,2049474,SAMN20408389
-MN,20199691,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,84,59314,166277,2018783,SAMN20408714
-MN,20199695,31,neg,neg,neg,neg,pos,neg,568,12,0,0,0.03,neg,neg,neg,neg,69,58342,147611,2021223,SAMN20408718
-MN,20200937,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,76,59096,119742,2082993,SAMN20409021
-MN,20202782,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,94,52550,125487,2014440,SAMN20397783
-MN,20195607,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,213,26549,129387,2105081,SAMN20331906
-MN,20196441,34,neg,neg,neg,neg,neg,neg,16636,0,0,3,0.03,neg,FolP182,neg,neg,63,90485,228778,2086808,SAMN20332209
-MN,20197399,34,neg,neg,neg,neg,neg,neg,16636,0,0,3,0.03,neg,neg,neg,neg,50,194740,342309,2097089,SAMN20332540
-MN,20199767,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,47,204959,342949,2109487,SAMN20408786
-MN,20200923,34,neg,neg,neg,neg,neg,neg,newST,0,0,2,0.03,neg,neg,neg,neg,55,122744,244510,2111006,SAMN20409007
-MN,20199672,38,neg,neg,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,107,56513,132692,2124677,SAMN20408696
-MN,20201480,38,neg,neg,neg,pos,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,165,28819,132289,2124655,SAMN20409181
-MN,20203823,38,neg,neg,neg,neg,neg,neg,393,2,4,4,0.03,neg,neg,neg,neg,240,26444,125625,2121065,SAMN20398099
-MN,20197382,45,neg,neg,neg,neg,neg,1:2,271,4,14,1001,2,"ermB,mef,msrD","FolA-I100L,FolP177,180",neg,ParC-A142S,61,97794,394867,2104343,SAMN20332524
-MN,20195630,10A,neg,neg,neg,pos,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,252,27794,92759,2079260,SAMN20331923
-MN,20196085,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,84,86432,262370,2075509,SAMN20332047
-MN,20196442,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,178,40180,120797,2051289,SAMN20332210
-MN,20198689,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,52,104638,358146,2107097,SAMN20408383
-MN,20199759,10A,neg,neg,neg,neg,neg,neg,97,0,0,2,0.03,neg,neg,neg,neg,38,140342,509053,2067934,SAMN20408778
-MN,20202139,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,98,82637,262429,2076636,SAMN20397638
-MN,20202769,10A,neg,neg,neg,neg,neg,neg,97,0,0,2,0.03,"mef,msrD",neg,neg,neg,52,98249,333490,2064136,SAMN20397770
-MN,20202777,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,153,42414,98416,2073872,SAMN20397778
-MN,20201502,10A,neg,pos,neg,neg,neg,neg,14025,0,10,2,0.03,neg,neg,neg,RpoB-D489N (1),59,122632,391324,2077559,SAMN20409202
-MN,20194471,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,neg,neg,neg,137,37203,122543,2008299,SAMN20331811
-MN,20197346,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,71,71907,278905,2053744,SAMN20332489
-MN,20197352,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,143,28448,69185,2042639,SAMN20332495
-MN,20197370,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,"mef,msrD",neg,neg,neg,67,65073,278567,2050201,SAMN20332512
-MN,20199674,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,72,71903,272751,2066273,SAMN20408698
-MN,20199685,11A,neg,neg,neg,neg,neg,2,3276,2,6,0,0.03,"mef,msrD",neg,neg,neg,54,115009,297954,2011471,SAMN20408708
-MN,20201459,11A,neg,neg,neg,neg,neg,2,14644,2,6,0,0.03,23S rRNA-A2061C,neg,neg,neg,67,76050,184261,2045697,SAMN20409160
-MN,20201492,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,neg,FolP182,neg,neg,79,65707,243467,2019091,SAMN20409192
-MN,20201510,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,99,57333,184687,2055175,SAMN20409210
-MN,20202116,11A,neg,neg,neg,neg,neg,neg,6025,12,4,6,0.03,neg,"FolA-I100L,FolP169",neg,neg,106,65427,370893,2104932,SAMN20397616
-MN,20202122,11A,neg,neg,neg,neg,neg,2,3276,2,6,0,0.03,"mef,msrD",neg,neg,neg,63,71930,297913,2010002,SAMN20397622
-MN,20202774,11A,neg,neg,neg,neg,neg,neg,16589,2,6,273,0.03,neg,"FolA-I100L,FolP182",neg,neg,72,70910,200240,2024498,SAMN20397775
-MN,20203818,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,58,86957,254244,2010918,SAMN20398095
-MN,20198680,12F,neg,neg,neg,neg,neg,neg,8060,23,4,77,0.06,neg,FolP178,neg,neg,70,81169,219295,2056626,SAMN20332768
-MN,20199755,12F,neg,neg,neg,neg,neg,neg,989,12,4,3,0.03,neg,FolP178,tetM,neg,92,79605,165845,2122611,SAMN20408774
-MN,20194485,15A,neg,neg,neg,neg,pos,neg,63,24,27,238,0.25,ermB,FolP178,tetM,neg,87,70908,150733,2078911,SAMN20331822
-MN,20195615,15A,neg,neg,neg,neg,neg,neg,63,24,27,13,0.25,ermB,FolP180,tetM,neg,179,37989,176878,2067957,SAMN20331911
-MN,20197335,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,70,93333,247737,2089581,SAMN20332478
-MN,20197354,15A,neg,neg,neg,neg,neg,neg,8324,24,27,28,0.25,ermB,FolP178,tetM,neg,66,68598,137005,2104935,SAMN20332497
-MN,20197376,15A,neg,neg,neg,neg,neg,neg,63,148,7,138,0.5,ermB,FolP195,tetM,neg,72,96389,239213,2108439,SAMN20332518
-MN,20197392,15A,neg,neg,neg,neg,neg,neg,2613,34,89,147,2,ermB,FolA-I100L,tetM,neg,62,70913,279027,2111263,SAMN20332533
-MN,20197394,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,71,95442,330012,2069961,SAMN20332535
-MN,20197411,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,71,93354,247756,2091968,SAMN20332552
-MN,20198663,15A,neg,neg,neg,neg,neg,neg,9355,24,27,28,0.25,ermB,neg,tetM,neg,102,61297,181313,2078044,SAMN20332751
-MN,20198687,15A,neg,neg,neg,neg,neg,neg,63,24,27,138,0.5,ermB,neg,tetM,neg,51,135803,324371,2076253,SAMN20408381
-MN,20199693,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,110,74137,229120,2104173,SAMN20408716
-MN,20202114,15A,neg,neg,neg,neg,pos,neg,63,13,175,43,2,ermB,neg,tetM,neg,146,64929,174004,2107347,SAMN20397614
-MN,20202136,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,68,83163,194661,2067448,SAMN20397635
-MN,20202758,15A,neg,neg,neg,neg,neg,neg,7473,24,27,73,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,76,70833,179959,2148221,SAMN20397759
-MN,20202765,15A,neg,neg,neg,neg,neg,neg,63,24,27,181,0.12,ermB,neg,tetM,neg,115,56426,113552,2073429,SAMN20397766
-MN,20203812,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,FolP178,tetM,neg,154,55709,241381,2071051,SAMN20398089
-MN,20196078,15B,neg,neg,neg,neg,neg,1,156,15,12,18,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,107,56688,144250,2084326,SAMN20332040
-MN,20196084,15B,neg,neg,neg,neg,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,128,48546,117283,2102088,SAMN20332046
-MN,20198659,15B,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,79,117918,312044,2106274,SAMN20332747
-MN,20198660,15B,neg,neg,neg,neg,neg,neg,8018,2,1,120,0.06,neg,neg,neg,neg,89,73806,134912,2045705,SAMN20332748
-MN,20198695,15B,neg,neg,neg,neg,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,91,54885,258122,2102273,SAMN20408388
-MN,20198698,15B,neg,neg,neg,neg,neg,1,199,0,0,0,0.03,"mef,msrD",neg,neg,neg,50,163934,309623,2096617,SAMN20408391
-MN,20199681,15B,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,47,155797,315732,2108087,SAMN20408704
-MN,20202120,15B,neg,neg,neg,neg,neg,neg,10156,0,0,2,0.03,neg,neg,neg,neg,50,107512,285355,2068568,SAMN20397620
-MN,20202145,15B,neg,neg,neg,pos,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,115,63324,180948,2106764,SAMN20397644
-MN,20195591,15C,neg,neg,neg,neg,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,232,36503,113973,2118054,SAMN20331894
-MN,20197334,15C,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,neg,neg,neg,neg,57,156221,200791,2061712,SAMN20332477
-MN,20197340,15C,neg,neg,neg,neg,neg,1,163,1,0,0,0.03,neg,neg,neg,neg,78,68189,265994,2130107,SAMN20332483
-MN,20199682,15C,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,"mef,msrD",neg,neg,neg,74,118267,312802,2068200,SAMN20408705
-MN,20199687,15C,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,93,56403,182423,2106097,SAMN20408710
-MN,20199689,15C,neg,neg,neg,neg,pos,neg,695,2,0,0,0.03,neg,neg,neg,neg,95,74779,128423,2134108,SAMN20408712
-MN,20199771,15C,neg,neg,neg,neg,neg,neg,10156,0,0,2,0.03,neg,neg,neg,neg,71,104929,179283,2108502,SAMN20408790
-MN,20200922,15C,neg,neg,neg,neg,neg,neg,199,2,0,2,0.03,neg,neg,neg,neg,84,106082,262573,2096840,SAMN20409006
-MN,20201474,15C,neg,neg,neg,neg,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,116,53905,265439,2174525,SAMN20409175
-MN,20201496,15C,neg,neg,neg,neg,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,83,82784,254777,2104718,SAMN20409196
-MN,20194476,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,88,71046,191905,2050854,SAMN20331816
-MN,20195586,16F,neg,neg,neg,neg,neg,neg,1840,433,10,14,0.06,neg,neg,neg,neg,165,55572,163644,2159149,SAMN20331890
-MN,20196083,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,"mef,msrD",neg,neg,neg,115,59089,160539,2114845,SAMN20332045
-MN,20196447,16F,neg,neg,neg,pos,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,109,88589,164878,2075499,SAMN20332214
-MN,20197355,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,69,70816,186987,2074986,SAMN20332498
-MN,20198656,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,83,116011,205300,2059185,SAMN20332744
-MN,20198670,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,41,134546,373628,2048726,SAMN20332758
-MN,20201458,16F,neg,neg,neg,neg,neg,neg,383,0,10,2,0.03,neg,neg,neg,neg,47,91691,356793,2081470,SAMN20409159
-MN,20201462,16F,neg,neg,neg,pos,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,78,114681,332844,2096483,SAMN20409163
-MN,20201465,16F,neg,neg,neg,neg,neg,neg,2685,0,1,77,0.12,neg,neg,neg,neg,61,91536,253731,2117388,SAMN20409166
-MN,20201479,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,66,91854,242463,2054370,SAMN20409180
-MN,20201494,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,79,84864,242341,2081143,SAMN20409194
-MN,20202141,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,"ermB,mef,msrD",FolA-I100L,tetM,neg,93,82514,317645,2096480,SAMN20397640
-MN,20202152,16F,neg,neg,neg,neg,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,69,113487,186825,2076269,SAMN20397650
-MN,20202775,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,64,114689,334781,2088778,SAMN20397776
-MN,20201476,16F,neg,pos,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,65,89771,230182,2077629,SAMN20409177
-MN,20194473,17F,neg,neg,neg,neg,pos,neg,11807,79,26,194,0.06,"mef,msrD",neg,tetM,neg,103,55530,143138,2040096,SAMN20331813
-MN,20197337,17F,neg,neg,neg,neg,neg,neg,392,11,0,0,0.03,"mef,msrD",neg,neg,neg,152,46898,107567,2085121,SAMN20332480
-MN,20199754,17F,neg,neg,neg,neg,neg,neg,newST,11,0,0,0.03,neg,neg,neg,neg,52,109488,268986,2095509,SAMN20408773
-MN,20202127,17F,neg,neg,neg,neg,neg,neg,392,11,0,0,0.03,neg,neg,neg,neg,54,106290,188957,2084897,SAMN20397627
-MN,20198667,18C,neg,neg,neg,pos,neg,neg,3065,8,0,0,0.03,neg,"FolA-I100L,FolP169",neg,neg,185,49700,131700,2212633,SAMN20332755
-MN,20195623,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,233,30816,97998,2032112,SAMN20331917
-MN,20196430,19A,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,87,51505,113371,2056078,SAMN20332199
-MN,20197349,19A,neg,neg,neg,neg,pos,neg,319,10,9,33,1,ermB,"FolA-I100L,FolP180",tetM,neg,58,76974,348944,2119920,SAMN20332492
-MN,20197395,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,77,59567,308193,2082441,SAMN20332536
-MN,20199756,19A,neg,neg,neg,neg,neg,neg,newST,17,610,35,0.5,neg,"FolA-I100L,FolP180",tetM,neg,86,81378,227712,2093234,SAMN20408775
-MN,20202750,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,144,48463,119398,2055012,SAMN20397751
-MN,20202761,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,111,61074,128355,2155653,SAMN20397762
-MN,20194463,19F,neg,neg,neg,pos,neg,1:02,271,13,14,970,8,"ermB,mef,msrD","FolA-I100L,FolP177,180",tetM,neg,190,24267,103636,2056341,SAMN20331804
-MN,20195589,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,244,27639,105974,2094614,SAMN20331892
-MN,20196082,19F,neg,neg,neg,pos,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,230,30714,105832,2099513,SAMN20332044
-MN,20196090,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,224,23408,106010,2099967,SAMN20332052
-MN,20196444,19F,neg,neg,neg,neg,neg,2,654,2,0,NF,NF,neg,neg,neg,neg,201,27380,163000,2112183,SAMN20332211
-MN,20197342,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,115,54720,221313,2069071,SAMN20332485
-MN,20197377,19F,neg,neg,neg,neg,neg,1,177,23,0,139,0.03,"mef,msrD","FolA-I100L,FolP177,180",neg,neg,71,108455,208857,2095583,SAMN20332519
-MN,20197407,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,88,60030,287171,2107665,SAMN20332548
-MN,20197424,19F,neg,neg,neg,pos,neg,2,11819,2,0,0,0.03,neg,neg,neg,neg,89,56970,287135,2111098,SAMN20332565
-MN,20198679,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,88,60041,286846,2111420,SAMN20332767
-MN,20199675,19F,neg,neg,neg,pos,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,105,48429,249620,2121997,SAMN20408699
-MN,20199683,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,92,60446,287352,2106810,SAMN20408706
-MN,20199688,19F,neg,neg,neg,neg,neg,2,251,2,0,0,0.03,neg,neg,neg,neg,81,69245,286378,2137485,SAMN20408711
-MN,20200933,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,100,60170,225051,2114144,SAMN20409017
-MN,20201472,19F,neg,neg,neg,pos,neg,2,654,2,0,0,0.03,neg,"FolP177,180",neg,neg,103,46874,197178,2108815,SAMN20409173
-MN,20202149,19F,neg,neg,neg,neg,neg,2,283,456,11,1010,4,"ermB,mef,msrD","FolA-I100L,FolP186",tetM,"GyrA-E85K, ParC-S79F",209,33595,91067,2061128,SAMN20397647
-MN,20202780,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,98,48430,224984,2110971,SAMN20397781
-MN,20194470,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,313,17336,81372,2054348,SAMN20331810
-MN,20194478,22F,neg,neg,neg,neg,neg,neg,433,1,NF,2,0.03,"mef,msrD",neg,neg,neg,243,15763,50867,2103094,SAMN20331817
-MN,20195592,22F,neg,neg,neg,pos,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,343,17252,72929,2037366,SAMN20331895
-MN,20195598,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,331,20544,56812,2033980,SAMN20331899
-MN,20195611,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,188,29670,96669,2047252,SAMN20331908
-MN,20195624,22F,neg,neg,neg,neg,neg,neg,433,1,NF,2,0.03,neg,neg,neg,neg,314,19379,52818,2061395,SAMN20331918
-MN,20195632,22F,neg,neg,neg,neg,neg,neg,15328,1,2,2,0.03,neg,neg,neg,neg,145,34790,96048,2057379,SAMN20331925
-MN,20196077,22F,neg,neg,neg,neg,pos,neg,15382,1,2,2,0.03,neg,neg,neg,neg,69,59260,223244,2068045,SAMN20332039
-MN,20196081,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,186,35858,153429,2097073,SAMN20332043
-MN,20196089,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,81,69255,216660,2067401,SAMN20332051
-MN,20196099,22F,neg,neg,neg,pos,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,98,59225,110531,2081541,SAMN20332059
-MN,20196429,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,169,32519,75584,2060605,SAMN20332198
-MN,20196450,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,176,30008,134431,2067076,SAMN20332217
-MN,20197341,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,78070,140869,2068090,SAMN20332484
-MN,20197343,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,129,36845,159588,2075866,SAMN20332486
-MN,20197360,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,65,65071,193674,2040724,SAMN20332502
-MN,20197365,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,108,43132,102992,2071590,SAMN20332507
-MN,20197389,22F,neg,neg,neg,pos,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,73,56834,159763,2074936,SAMN20332530
-MN,20197397,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,66,59578,172561,2054271,SAMN20332538
-MN,20198684,22F,neg,neg,neg,neg,neg,neg,11559,1,2,2,0.03,neg,neg,neg,neg,59,61837,217015,2065057,SAMN20332772
-MN,20198693,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,67,61457,177546,2031379,SAMN20408386
-MN,20199680,22F,neg,neg,neg,neg,neg,neg,12037,1,2,207,0.03,neg,neg,neg,neg,64,59337,164299,2075696,SAMN20408703
-MN,20199699,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,66,65113,191668,2079009,SAMN20408722
-MN,20201482,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,"mef,msrD",neg,neg,neg,72,68894,147694,2076014,SAMN20409183
-MN,20201487,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,92,57681,138635,2054993,SAMN20409188
-MN,20201497,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,97,56796,214252,2075776,SAMN20409197
-MN,20202123,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,219,34109,172882,2104771,SAMN20397623
-MN,20202155,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,86,52868,140083,2053296,SAMN20397653
-MN,20202745,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,RpoB-H499N (>4),56,99380,232622,2038027,SAMN20397746
-MN,20202748,22F,neg,neg,neg,pos,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,59,77766,223280,2068898,SAMN20397749
-MN,20202755,22F,neg,neg,neg,neg,pos,neg,433,1,2,2,0.03,neg,neg,neg,neg,65,85789,261442,2071731,SAMN20397756
-MN,20202756,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,80,59350,261050,2068750,SAMN20397757
-MN,20202763,22F,neg,neg,neg,neg,pos,neg,433,1,2,2,0.03,neg,neg,neg,neg,81,49606,182146,2068186,SAMN20397764
-MN,20202771,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,123,46863,108848,2090634,SAMN20397772
-MN,20203816,22F,neg,neg,neg,pos,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,122,46932,107258,2053141,SAMN20398093
-MN,20203822,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,79,61898,226957,2076218,SAMN20398098
-MN,20196451,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,190,33368,98716,2051975,SAMN20332218
-MN,20197344,23A,neg,neg,neg,neg,neg,neg,newST,ERROR,1,1,0.25,neg,FolA-I100L,neg,neg,69,80335,305936,2106009,SAMN20332487
-MN,20197351,23A,neg,neg,neg,neg,neg,neg,newST,0,1,1,0.25,neg,neg,neg,neg,108,70277,195858,2135574,SAMN20332494
-MN,20197415,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,41,111268,305917,2062734,SAMN20332556
-MN,20199677,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,29,160732,319713,2064666,SAMN20408700
-MN,20199684,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,47,147232,298679,2155584,SAMN20408707
-MN,20200931,23A,neg,neg,neg,neg,pos,neg,338,19,1,200,0.25,ermB,neg,tetM,neg,61,133562,306479,2080723,SAMN20409015
-MN,20201478,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,138,50257,116467,2155838,SAMN20409179
-MN,20201499,23A,neg,neg,neg,neg,neg,neg,newST,0,1,1,0.25,neg,FolA-I100L,neg,neg,66,101951,305856,2064306,SAMN20409199
-MN,20201500,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,54,92412,305918,2066106,SAMN20409200
-MN,20202121,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,86,70490,257288,2104261,SAMN20397621
-MN,20202137,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,"FolA-I100L,FolP169",tetM,neg,43,135655,401735,2113913,SAMN20397636
-MN,20202746,23A,neg,neg,neg,neg,neg,1,166,15,11,299,4,ermB,FolA-I100L,tetM,neg,56,118594,521873,2078627,SAMN20397747
-MN,20203824,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,72,107657,305021,2118036,SAMN20398100
-MN,20203838,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,56,121113,307660,2099019,SAMN20398110
-MN,20200936,23A,neg,pos,neg,neg,neg,1,166,15,11,299,4,ermB,FolA-I100L,tetM,neg,70,105977,448013,2081297,SAMN20409020
-MN,20195601,23B,neg,neg,neg,pos,neg,neg,4253,17,15,22,0.5,ermB,FolP180,tetM,neg,175,57327,166437,2132724,SAMN20331902
-MN,20197379,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,31,206661,367771,2066267,SAMN20332521
-MN,20197401,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,54,124110,332830,2137836,SAMN20332542
-MN,20198657,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,37,177371,476612,2064963,SAMN20332745
-MN,20198685,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,62,114911,332846,2139452,SAMN20408379
-MN,20199686,23B,neg,neg,neg,neg,neg,neg,10149,7,1,11,0.25,neg,"FolA-I100L,FolP169",neg,neg,39,157701,333434,2126856,SAMN20408709
-MN,20199696,23B,neg,neg,neg,neg,neg,neg,16647,0,1,1,0.25,neg,"FolA-I100L,FolP180",neg,neg,64,112384,332691,2140015,SAMN20408719
-MN,20199757,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,48,130247,363786,2066438,SAMN20408776
-MN,20199758,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,53,192168,364181,2102185,SAMN20408777
-MN,20199760,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,39,177318,404878,2063138,SAMN20408779
-MN,20199764,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,58,192271,404904,2104281,SAMN20408783
-MN,20199769,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,65,177747,332820,2174172,SAMN20408788
-MN,20200924,23B,neg,neg,neg,neg,neg,neg,2372,7,67,1,0.25,neg,"FolA-I100L,FolP169",neg,neg,42,134184,308864,2094612,SAMN20409008
-MN,20200934,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,92,69837,332783,2121658,SAMN20409018
-MN,20201473,23B,neg,neg,neg,pos,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,43,121215,353302,2066489,SAMN20409174
-MN,20201489,23B,neg,neg,neg,pos,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,57,117478,218771,2135697,SAMN20409189
-MN,20201495,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,50,177314,362569,2065248,SAMN20409195
-MN,20201507,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,"mef,msrD",neg,neg,neg,64,130333,416497,2126194,SAMN20409207
-MN,20202115,23B,neg,neg,neg,pos,neg,neg,1448,12,0,0,0.03,neg,neg,neg,neg,66,76007,404798,2053621,SAMN20397615
-MN,20202128,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,neg,neg,neg,neg,62,86433,242973,2070974,SAMN20397628
-MN,20202776,28A,neg,neg,neg,neg,neg,neg,546,2,2,69,0.06,neg,neg,neg,neg,115,85586,144100,2047967,SAMN20397777
-MN,20194469,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,168,51823,99642,2077285,SAMN20331809
-MN,20194474,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,120,32818,119758,2070199,SAMN20331814
-MN,20195588,33F,neg,neg,neg,pos,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,199,46541,97793,2040117,SAMN20331891
-MN,20195599,33F,neg,neg,neg,neg,neg,neg,2705,2,NF,6,0.03,"mef,msrD",FolP189,neg,neg,90,55553,131368,2067680,SAMN20331900
-MN,20195619,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,116,54408,125747,2067725,SAMN20331914
-MN,20195620,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,160,44628,103291,2071734,SAMN20331915
-MN,20195629,33F,neg,neg,neg,neg,neg,neg,9029,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,78,54803,131206,2022471,SAMN20331922
-MN,20196079,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,29,179436,359284,2047775,SAMN20332041
-MN,20196092,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,81,72894,237015,2047147,SAMN20332054
-MN,20196094,33F,neg,neg,neg,neg,pos,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,92,67746,120942,2049982,SAMN20332056
-MN,20196449,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,39,218055,334488,2068092,SAMN20332216
-MN,20197336,33F,neg,neg,neg,neg,neg,neg,100,2,0,998,0.03,"mef,msrD",FolP189,neg,neg,27,149112,383053,2055340,SAMN20332479
-MN,20197350,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,32,158016,378752,2045357,SAMN20332493
-MN,20197364,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,34,133103,380824,2053064,SAMN20332506
-MN,20197368,33F,neg,neg,neg,neg,neg,neg,9029,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,149299,301341,2019826,SAMN20332510
-MN,20197385,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,23,180452,380848,2048451,SAMN20332527
-MN,20197419,33F,neg,neg,neg,pos,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,185526,262994,2068152,SAMN20332560
-MN,20198655,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,35,179420,359269,2050114,SAMN20332743
-MN,20198662,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,33,139676,599304,2048168,SAMN20332750
-MN,20199761,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,22,226635,598704,2066076,SAMN20408780
-MN,20200930,33F,neg,neg,neg,neg,neg,neg,11808,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,22,222238,490610,2065512,SAMN20409014
-MN,20200942,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,31,172170,425472,2066432,SAMN20409026
-MN,20200944,33F,neg,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,39,121934,605460,2031083,SAMN20409028
-MN,20201460,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,37,111682,425507,2052391,SAMN20409161
-MN,20201485,33F,neg,neg,neg,neg,neg,neg,100,455,0,6,0.03,"mef,msrD",FolP189,neg,neg,39,179432,336187,2049433,SAMN20409186
-MN,20201493,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,33,117262,573256,2055972,SAMN20409193
-MN,20201505,33F,neg,neg,neg,pos,neg,neg,newST,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,49,175561,377137,2051155,SAMN20409205
-MN,20202130,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,38,118237,190276,2047707,SAMN20397630
-MN,20202153,33F,neg,neg,neg,neg,pos,neg,9029,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,143,129819,231347,2052041,SAMN20397651
-MN,20202772,33F,neg,neg,neg,neg,neg,neg,100,2,0,1011,0.03,"mef,msrD",FolP189,neg,neg,32,149077,383054,2055782,SAMN20397773
-MN,20202778,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,41,80386,345751,2051478,SAMN20397779
-MN,20202781,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,42,108275,345687,2063851,SAMN20397782
-MN,20202784,33F,neg,neg,pos,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,39,175281,450238,2054807,SAMN20397785
-MN,20203827,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,31,178988,381434,2047504,SAMN20398102
-MN,20203835,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,43,94986,232384,2052923,SAMN20398109
-MN,20194482,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,113,40248,81970,2018063,SAMN20331820
-MN,20195593,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,391,32125,92920,2009458,SAMN20331896
-MN,20195614,35B,neg,neg,neg,neg,pos,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,228,27770,78531,1996630,SAMN20331910
-MN,20196091,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,83,67874,165190,2045741,SAMN20332053
-MN,20196431,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,47,81185,221630,2012086,SAMN20332200
-MN,20197373,35B,neg,neg,neg,neg,neg,neg,452,0,0,0,0.03,neg,neg,neg,neg,94,74466,122119,2128862,SAMN20332515
-MN,20197391,35B,neg,neg,neg,neg,pos,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,58,91082,165402,2006207,SAMN20332532
-MN,20197406,35B,neg,neg,neg,neg,pos,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,41,89853,260213,2042693,SAMN20332547
-MN,20197416,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,46,82182,220877,2006403,SAMN20332557
-MN,20198665,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,78,63318,322888,2033008,SAMN20332753
-MN,20198669,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,59,90967,165437,2017849,SAMN20332757
-MN,20198681,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,55,81991,221644,2036766,SAMN20332769
-MN,20198688,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,51,91796,222919,2050878,SAMN20408382
-MN,20199678,35B,neg,neg,neg,neg,neg,1,16646,0,0,2,0.03,neg,FolP178,tetM,cat,58,77183,208060,2166852,SAMN20408701
-MN,20199694,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,35,93286,381612,1996035,SAMN20408717
-MN,20199763,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,48,89769,180446,2011041,SAMN20408782
-MN,20201468,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,43,93247,222945,2006732,SAMN20409169
-MN,20201471,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,53,84616,165278,2017096,SAMN20409172
-MN,20201509,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,38,107073,267661,2014739,SAMN20409209
-MN,20202124,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,54,82093,165228,2004498,SAMN20397624
-MN,20202148,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,91,49184,123389,2065477,SAMN20397646
-MN,20202751,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,45,90458,239645,2005159,SAMN20397752
-MN,20202753,35B,neg,neg,neg,pos,neg,1,16660,457,7,7,2,"mef,msrD",neg,neg,neg,78,77988,165409,2006672,SAMN20397754
-MN,20202754,35B,neg,neg,neg,neg,neg,1,558,4,636,121,2,"mef,msrD",neg,neg,neg,54,93207,239746,2006480,SAMN20397755
-MN,20202783,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,73,67964,279535,2129277,SAMN20397784
-MN,20197423,35D,neg,neg,neg,pos,neg,1,558,4,7,7,2,neg,neg,neg,neg,56,98173,204823,2083139,SAMN20332564
-MN,20199692,35D,neg,neg,neg,pos,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,71,85546,266395,2001187,SAMN20408715
-MN,20202757,35D,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,60,81094,116018,2005458,SAMN20397758
-MN,20197347,35F,neg,neg,neg,neg,neg,neg,1368,74,0,77,0.06,"mef,msrD",neg,neg,neg,84,97900,232223,2063557,SAMN20332490
-MN,20197361,35F,neg,neg,neg,pos,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,106,86998,223375,2110998,SAMN20332503
-MN,20199766,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,71,87099,267669,2115593,SAMN20408785
-MN,20201506,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,70,89725,273054,2116297,SAMN20409206
-MN,20202150,35F,neg,neg,neg,neg,neg,neg,498,0,0,NF,,neg,neg,neg,neg,161,43749,179814,2072896,SAMN20397648
-MN,20202752,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,89,65170,229088,2119796,SAMN20397753
-MN,20202767,35F,neg,neg,neg,neg,neg,neg,1368,74,0,77,0.06,"mef,msrD",neg,neg,neg,70,95741,232169,2066977,SAMN20397768
-MN,20202779,35F,neg,neg,neg,neg,neg,neg,2991,11,4,0,0.03,neg,neg,tetM,neg,59,69171,306062,2062419,SAMN20397780
-MN,20196439,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,neg,neg,neg,neg,164,40231,106432,2030954,SAMN20332207
-MN,20197422,6C,neg,neg,neg,neg,neg,neg,newST,2,0,0,0.03,"mef,msrD",neg,neg,neg,92,57783,109016,2076287,SAMN20332563
-MN,20199765,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,neg,neg,neg,neg,87,61601,172022,2037340,SAMN20408784
-MN,20202119,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,"mef,msrD",neg,neg,neg,131,51871,109844,2074844,SAMN20397619
-MN,20202131,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,"mef,msrD",neg,neg,neg,147,38982,84891,2073800,SAMN20397631
-MN,20202133,6C,neg,neg,neg,neg,neg,neg,1379,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,104,97830,173571,2111781,SAMN20397632
-MN,20195609,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,156,45517,163878,2150942,SAMN20331907
-MN,20200946,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,98,63866,164888,2159741,SAMN20409030
-MN,20202773,7C,neg,neg,neg,neg,neg,neg,1797,2,637,6,0.03,neg,neg,neg,neg,141,50097,164925,2130274,SAMN20397774
-MN,20194467,9N,neg,neg,neg,neg,neg,neg,11594,23,0,0,0.03,neg,neg,neg,neg,179,37344,190850,2053306,SAMN20331808
-MN,20195600,9N,neg,neg,neg,neg,neg,neg,6359,17,144,8,2,neg,"FolA-I100L,FolP169",tetM,neg,125,58008,197422,2061534,SAMN20331901
-MN,20197345,9N,neg,neg,neg,neg,neg,neg,66,2,0,0,0.03,neg,neg,neg,neg,69,80137,259623,2132056,SAMN20332488
-MN,20197353,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,59,112023,304606,2086345,SAMN20332496
-MN,20197383,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,148,54861,223325,2090357,SAMN20332525
-MN,20197398,9N,neg,neg,neg,neg,neg,neg,15290,1,0,0,0.03,neg,neg,neg,neg,82,123623,315138,2084561,SAMN20332539
-MN,20197418,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,58,175378,315237,2044035,SAMN20332559
-MN,20198664,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,59,104147,231860,2082181,SAMN20332752
-MN,20198673,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,70,79807,314443,2087547,SAMN20332761
-MN,20199690,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,51,93379,328244,2032968,SAMN20408713
-MN,20199762,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,70,77927,268490,2086970,SAMN20408781
-MN,20200932,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,53,90741,221562,2092907,SAMN20409016
-MN,20200940,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,48,156229,317515,2084239,SAMN20409024
-MN,20201463,9N,neg,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,72,131824,317402,2165190,SAMN20409164
-MN,20201498,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,57,175299,556369,2122510,SAMN20409198
-MN,20202154,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,153,62121,241815,2072149,SAMN20397652
-MN,20202762,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,46,175356,327539,2090922,SAMN20397763
-MN,20202768,9N,neg,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,57,100027,317389,2081547,SAMN20397769
-MN,20203814,9N,neg,neg,neg,neg,pos,neg,66,1,0,0,0.03,neg,neg,neg,neg,127,69381,169390,2100098,SAMN20398091
-MN,20203828,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,97,61275,328242,2046061,SAMN20398103
-MN,20196440,9N,neg,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,131,48906,167699,2080877,SAMN20332208
-MN,20202134,9N,neg,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,46,137019,327656,2090135,SAMN20397633
-MN,20201464,9V,neg,neg,neg,neg,neg,1,4908,1,4,394,0.06,neg,"FolA-I100L,FolP169",neg,neg,128,66193,214456,2180701,SAMN20409165
-MN,20194487,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,111,48496,145644,1974828,SAMN20331824
-MN,20195633,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,96,54215,229309,1974563,SAMN20331926
-MN,20195634,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,135,53568,139725,1986460,SAMN20331927
-MN,20196103,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,134,43607,131714,1975821,SAMN20332062
-MN,20197356,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,53,85347,253504,1975344,SAMN20332499
-MN,20197362,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,89,64433,129898,1973541,SAMN20332504
-MN,20197381,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,87,52028,155544,1974784,SAMN20332523
-MN,20197386,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,108,40130,103659,1988651,SAMN20332528
-MN,20197403,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,65,131580,212238,1973774,SAMN20332544
-MN,20197408,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,52,129259,261794,1976201,SAMN20332549
-MN,20198666,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,111,35927,79560,1972898,SAMN20332754
-MN,20198686,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,46,142709,263375,1986580,SAMN20408380
-MN,20198703,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,97,74532,182790,2022151,SAMN20408396
-MN,20201466,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,50,119030,212139,1976287,SAMN20409167
-MN,20201470,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,53,130192,263442,2022145,SAMN20409171
-MN,20201475,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,43,170060,261255,1956196,SAMN20409176
-MN,20201504,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,41,127209,297417,1976367,SAMN20409204
-MN,20202113,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,62,82104,259988,1973814,SAMN20397613
-MN,20202138,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,178105,216304,1973757,SAMN20397637
-MN,20202140,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,59,84802,197620,1973457,SAMN20397639
-MN,20202143,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,63,110371,183184,1988096,SAMN20397642
-MN,20202766,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,84,64091,136877,1974403,SAMN20397767
-MN,20203820,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,66,148670,261726,1974720,SAMN20398096
-MN,20203830,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,75,93817,244394,2007242,SAMN20398105
-MN,20203831,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,72,105038,216286,1973247,SAMN20398106
-MN,20194464,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,249,23820,85613,1976801,SAMN20331805
-MN,20197357,3,pos,unk,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,85,61731,178301,1975632,SAMN20332500
-MN,20194472,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,71,95228,240379,1995819,SAMN20331812
-MN,20195617,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,207,30171,167374,1989439,SAMN20331913
-MN,20196086,8,pos,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,111,48902,98236,1982885,SAMN20332048
-MN,20196445,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,50,144103,469040,1989485,SAMN20332212
-MN,20196446,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,115,63099,196430,1989850,SAMN20332213
-MN,20198668,8,pos,neg,neg,neg,pos,neg,1268,3,5,5,0.03,neg,neg,neg,neg,48,98202,391565,1990740,SAMN20332756
-MN,20199700,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,39,144196,469135,1994958,SAMN20408723
-MN,20200926,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,78,60993,206690,1990806,SAMN20409010
-MN,20201490,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,78,63982,182695,1990218,SAMN20409190
-MN,20202117,8,pos,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,43,184726,372354,1986206,SAMN20397617
-MN,20202764,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,40,136637,333012,1992638,SAMN20397765
-MN,20197371,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,49,96443,296038,2085305,SAMN20332513
-MN,20200925,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,74,114431,303605,2091906,SAMN20409009
-MN,20200928,20,pos,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,52,116346,295818,2086708,SAMN20409012
-MN,20202770,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,99,64828,217848,2090925,SAMN20397771
-MN,20194475,20,pos,pos,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,94,62277,221641,2060904,SAMN20331815
-MN,20197414,20,pos,pos,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,53,120836,336418,2089895,SAMN20332555
-MN,20194483,31,pos,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,159,29193,120475,2014309,SAMN20331821
-MN,20196093,31,pos,neg,neg,neg,neg,neg,568,12,0,0,0.03,ermB,neg,tetM,neg,127,40757,207204,2087383,SAMN20332055
-MN,20197367,10A,pos,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,72,86251,242860,2073813,SAMN20332509
-MN,20198699,10A,pos,neg,neg,pos,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,102,77481,170526,2072690,SAMN20408392
-MN,20196088,12F,pos,neg,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,135,47225,137124,2024407,SAMN20332050
-MN,20197387,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,50,99923,152405,1979769,SAMN20332529
-MN,20197417,12F,pos,neg,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,82,86396,383466,2024234,SAMN20332558
-MN,20198702,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,67,85711,152349,1979551,SAMN20408395
-MN,20194481,15B,pos,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,78,80083,238828,2107658,SAMN20331819
-MN,20202129,15C,pos,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,78,67346,188599,2105027,SAMN20397629
-MN,20197372,16F,pos,neg,neg,neg,neg,neg,659,449,0,3,0.03,neg,neg,neg,neg,92,91902,218574,2053229,SAMN20332514
-MN,20197404,16F,pos,neg,neg,neg,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,77,104738,186977,2111121,SAMN20332545
-MN,20197412,16F,pos,neg,neg,neg,neg,neg,659,449,0,3,0.03,neg,neg,neg,neg,50,116303,219369,2052848,SAMN20332553
-MN,20202749,16F,pos,neg,neg,neg,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,95,80901,164200,2076049,SAMN20397750
-MN,20195604,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,208,24616,85440,2101709,SAMN20331904
-MN,20198701,19F,pos,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,118,61376,287464,2147870,SAMN20408394
-MN,20194466,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,285,21517,64141,2055870,SAMN20331807
-MN,20195590,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,159,45184,150390,2052695,SAMN20331893
-MN,20195597,22F,pos,neg,neg,neg,pos,neg,433,1,2,2,0.03,neg,neg,neg,neg,92,56730,203438,2066662,SAMN20331898
-MN,20196436,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,183,42420,94810,2053472,SAMN20332204
-MN,20197339,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,83,53154,132079,2056835,SAMN20332482
-MN,20197363,22F,pos,neg,neg,neg,pos,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,63,91147,228154,2054282,SAMN20332505
-MN,20197374,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,71,77368,221005,2072562,SAMN20332516
-MN,20197375,22F,pos,neg,neg,neg,neg,neg,newST,1,2,2,0.03,"mef,msrD",neg,neg,neg,59,68561,157393,2055376,SAMN20332517
-MN,20197378,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,74,69226,216934,2111406,SAMN20332520
-MN,20197409,22F,pos,neg,neg,neg,neg,neg,newST,1,2,2,0.03,"mef,msrD",neg,neg,neg,157,34531,148767,2052432,SAMN20332550
-MN,20197421,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,69,59575,172114,2053084,SAMN20332562
-MN,20198661,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,84,63365,194393,2051706,SAMN20332749
-MN,20198675,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,59,68541,298486,2053319,SAMN20332763
-MN,20198676,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,60,77811,261139,2069899,SAMN20332764
-MN,20198677,22F,pos,neg,neg,pos,neg,neg,newST,1,2,2,0.03,"mef,msrD",neg,neg,neg,129,41521,107947,2048213,SAMN20332765
-MN,20198678,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,56062,261147,2074616,SAMN20332766
-MN,20198690,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,69,69231,211625,2067416,SAMN20408384
-MN,20198692,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,80,59816,159665,2069615,SAMN20408385
-MN,20198697,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,66,68541,266372,2047041,SAMN20408390
-MN,20199697,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,65,71955,261204,2070975,SAMN20408720
-MN,20200929,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,93,60134,208195,2072278,SAMN20409013
-MN,20200938,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,73,80822,298375,2052186,SAMN20409022
-MN,20201461,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,73,59551,231086,2054418,SAMN20409162
-MN,20201469,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,102,55105,120245,2049133,SAMN20409170
-MN,20201477,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,81,58793,145874,2055006,SAMN20409178
-MN,20202125,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,65,109535,298415,2053570,SAMN20397625
-MN,20202126,22F,pos,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,78,80805,298388,2053986,SAMN20397626
-MN,20202142,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,84,52378,188836,2070479,SAMN20397641
-MN,20202759,22F,pos,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,111,41453,90713,2051270,SAMN20397760
-MN,20203821,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,83,59249,219820,2110811,SAMN20398097
-MN,20203832,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,76,68473,191576,2051562,SAMN20398107
-MN,20203857,22F,pos,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,84,59170,248129,2052395,SAMN20398113
-MN,20198683,22F,pos,pos,neg,neg,neg,neg,newST,1,2,2,0.03,"mef,msrD",neg,neg,neg,63,65776,298459,2053652,SAMN20332771
-MN,20200927,22F,pos,pos,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,65,86970,297689,2054507,SAMN20409011
-MN,20197358,23A,pos,neg,neg,neg,neg,neg,438,2,0,6,0.03,neg,neg,neg,neg,70,115539,258929,,SAMN21615107
-MN,20197338,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,41,125999,339289,2046762,SAMN20332481
-MN,20197402,33F,pos,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,218070,345071,2067056,SAMN20332543
-MN,20198658,33F,pos,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,28,218054,349125,2066718,SAMN20332746
-MN,20198672,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,104,79664,228338,2044626,SAMN20332760
-MN,20199679,33F,pos,neg,neg,pos,neg,neg,11808,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,29,146382,490582,2066602,SAMN20408702
-MN,20200943,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,27,180375,359246,2052353,SAMN20409027
-MN,20201491,33F,pos,neg,neg,pos,neg,neg,11808,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,41,121964,345078,2066911,SAMN20409191
-MN,20201511,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,27,180423,381659,2053007,SAMN20409211
-MN,20197400,35B,pos,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,48,82034,173311,2007228,SAMN20332541
-MN,20202118,35B,pos,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,48,105465,165421,2005339,SAMN20397618
-MN,20203813,35B,pos,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,60,76111,158055,2007411,SAMN20398090
-MN,20203833,35B,pos,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,87,60019,98517,2004470,SAMN20398108
-MN,20195613,7C,pos,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,268,25503,81409,2076053,SAMN20331909
-MN,20203825,7C,pos,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,149,71157,202937,2106885,SAMN20398101
-MN,20195602,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,"ermB,mef,msrD",neg,tetM,neg,263,23529,83931,2151825,SAMN20331903
-MN,20197348,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,"ermB,mef,msrD",neg,tetM,neg,63,100709,231633,2146552,SAMN20332491
-MN,20197390,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,48,91264,356551,2056901,SAMN20332531
-MN,20199673,9N,pos,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,83,81470,181456,2125170,SAMN20408697
-MN,20200941,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,64,86806,184768,2089038,SAMN20409025
-MN,20201467,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,63,95751,184792,2088847,SAMN20409168
-MN,20202747,9N,pos,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,72,129741,391056,2159970,SAMN20397748
-MN,20203849,9N,pos,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,99,72431,315786,2156648,SAMN20398112
-MN,20197413,9N,pos,pos,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,42,131433,184868,2089611,SAMN20332554
-NM,20194234,3,neg,neg,neg,neg,neg,neg,1119,228,0,2,0.03,neg,neg,neg,neg,163,45998,132849,1993527,SAMN20331799
-NM,20195667,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,239,27889,86487,2004092,SAMN20331946
-NM,20195673,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,95,66221,262643,1987374,SAMN20331952
-NM,20195687,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,102,61094,143445,1987104,SAMN20331965
-NM,20196134,3,neg,neg,neg,neg,neg,neg,505,2,0,2,0.03,neg,neg,neg,neg,249,34606,142045,1983376,SAMN20332090
-NM,20196136,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,395,39242,92217,1998647,SAMN20332092
-NM,20196461,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,88,65339,192171,1970937,SAMN20332228
-NM,20196471,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,70,73730,216271,1975467,SAMN20332238
-NM,20197715,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,64,72720,259714,1974884,SAMN20332566
-NM,20197717,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,76,69655,195969,1974826,SAMN20332568
-NM,20197720,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,60,129858,216289,2043495,SAMN20332571
-NM,20197735,3,neg,neg,pos,neg,neg,neg,11599,62,0,2,0.03,neg,neg,neg,neg,59,117775,342940,1993541,SAMN20332585
-NM,20198708,3,neg,neg,neg,neg,neg,neg,newST,2,0,2,0.03,neg,neg,neg,neg,78,72771,192622,1974635,SAMN20408399
-NM,20198709,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,71,96170,263367,1984060,SAMN20408400
-NM,20198713,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,45,105139,322570,1974965,SAMN20408404
-NM,20199626,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,44,108012,216342,1976499,SAMN20408650
-NM,20199627,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,31,266889,357025,1975034,SAMN20408651
-NM,20199629,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,45,127686,266789,1974930,SAMN20408653
-NM,20200744,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,52,96871,216262,1973496,SAMN20408868
-NM,20201441,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,33,192968,288238,1974687,SAMN20409142
-NM,20201452,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,168227,308330,1975024,SAMN20409153
-NM,20201453,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,310,26915,91041,1960628,SAMN20409154
-NM,20202074,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,51,117759,212592,1975327,SAMN20409345
-NM,20202799,3,neg,neg,neg,neg,neg,neg,180,2,612,2,0.03,neg,neg,neg,neg,98,43399,129339,1975077,SAMN20397800
-NM,20202801,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,72,70254,172237,1976281,SAMN20397802
-NM,20202816,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,54,134868,373482,2046067,SAMN20397815
-NM,20194238,3,neg,pos,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,160,44434,159975,1990979,SAMN20331802
-NM,20195690,4,neg,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,119,79514,195486,2006690,SAMN20331968
-NM,20199624,4,neg,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,69,90679,220728,2011446,SAMN20408648
-NM,20199628,4,neg,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,52,119167,201374,2010739,SAMN20408652
-NM,20202790,4,neg,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,69,109964,203902,2011683,SAMN20397791
-NM,20202093,4,neg,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,82,84811,195569,2010228,SAMN20409364
-NM,20196119,8,neg,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,48,110771,285733,1985764,SAMN20332076
-NM,20196467,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,88,66245,214947,1988367,SAMN20332234
-NM,20196468,8,neg,neg,pos,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,319,42883,129209,1971701,SAMN20332235
-NM,20196476,8,neg,neg,neg,neg,neg,neg,1480,3,2,5,0.03,neg,neg,neg,neg,61,97801,218685,1988767,SAMN20332243
-NM,20196484,8,neg,neg,pos,neg,neg,neg,1480,3,5,5,0.03,ermB,neg,tetM,neg,58,95508,218873,2060168,SAMN20332251
-NM,20197725,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,44,139167,391332,1991192,SAMN20332575
-NM,20197739,8,neg,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,54,96368,236105,1996444,SAMN20332588
-NM,20197740,8,neg,neg,neg,neg,neg,neg,1480,3,2,5,0.03,neg,neg,neg,neg,48,106631,392381,1988473,SAMN20332589
-NM,20198719,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,87,85358,212304,1987861,SAMN20408410
-NM,20199625,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,39,144192,469117,1992187,SAMN20408649
-NM,20199632,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,48,98619,391230,1993333,SAMN20408656
-NM,20199779,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,60,78359,391594,1993303,SAMN20408797
-NM,20202081,8,neg,neg,pos,neg,neg,neg,1480,3,2,5,0.03,neg,neg,neg,neg,48,98309,388713,1986717,SAMN20409352
-NM,20202083,8,neg,neg,neg,neg,neg,neg,1480,3,2,5,0.03,neg,neg,neg,neg,42,117373,311597,1987657,SAMN20409354
-NM,20202809,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,50,97068,311640,1992308,SAMN20397808
-NM,20196473,8,neg,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,55,100878,207413,1994364,SAMN20332240
-NM,20202786,8,neg,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,43,98328,391676,1992023,SAMN20397787
-NM,20195666,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,180,48367,89486,2071741,SAMN20331945
-NM,20196110,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,89,84136,192397,2082124,SAMN20332068
-NM,20196118,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,150,42895,187492,2070558,SAMN20332075
-NM,20198730,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,87,104255,209030,2083910,SAMN20408421
-NM,20199635,20,neg,neg,pos,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,51,130453,212505,2053970,SAMN20408659
-NM,20201457,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,49,119936,362150,2053676,SAMN20409158
-NM,20196124,20,neg,pos,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,231,28334,78674,2045669,SAMN20332081
-NM,20204913,20,neg,pos,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,89,119806,208998,2089512,SAMN20398275
-NM,20195677,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,neg,neg,neg,neg,229,21051,108320,2043382,SAMN20331956
-NM,20202810,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,neg,neg,neg,neg,83,61716,135980,2094999,SAMN20397809
-NM,20196135,34,neg,neg,neg,neg,neg,neg,547,0,0,NF,,neg,neg,neg,neg,198,27959,171189,2188326,SAMN20332091
-NM,20199636,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,69,86146,197162,2091852,SAMN20408660
-NM,20197746,37,neg,neg,neg,neg,neg,neg,447,11,4,0,0.03,neg,neg,neg,neg,83,63416,224854,2012645,SAMN20332595
-NM,20196481,38,neg,neg,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,109,56979,264907,2125181,SAMN20332248
-NM,20198727,38,neg,neg,neg,neg,neg,neg,393,2,4,4,0.03,neg,neg,neg,neg,106,53147,175836,2143978,SAMN20408418
-NM,20201447,38,neg,neg,neg,pos,neg,neg,393,2,4,4,0.03,neg,neg,neg,neg,308,24135,125669,2136308,SAMN20409148
-NM,20195648,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,312,24089,66594,2099860,SAMN20331928
-NM,20195691,10A,neg,neg,neg,neg,neg,neg,97,0,40,2,0.03,neg,FolP188,neg,neg,48,125268,418183,2065058,SAMN20331969
-NM,20197743,10A,neg,neg,neg,neg,neg,neg,3617,23,4,0,0.03,neg,neg,neg,neg,83,85085,237538,2071103,SAMN20332592
-NM,20197973,10A,neg,neg,neg,pos,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,62,95973,208155,2115062,SAMN20332666
-NM,20198729,10A,neg,neg,neg,neg,neg,neg,16644,0,4,2,0.03,neg,"FolA-I100L,FolP180",neg,neg,49,104381,250844,2057004,SAMN20408420
-NM,20201448,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,91,85504,195079,2066008,SAMN20409149
-NM,20204912,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,59,100716,358731,2064820,SAMN20398274
-NM,20195657,11A,neg,neg,neg,pos,neg,neg,62,2,6,10,0.03,"mef,msrD",neg,neg,neg,124,62580,128356,2007172,SAMN20331937
-NM,20195676,11A,neg,neg,neg,neg,pos,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,157,44375,134266,2014532,SAMN20331955
-NM,20196127,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,"mef,msrD",neg,neg,neg,120,51839,92666,2051912,SAMN20332084
-NM,20196129,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,170,45231,123672,2018307,SAMN20332086
-NM,20196469,11A,neg,neg,neg,pos,neg,neg,62,2,6,10,0.03,neg,neg,neg,neg,63,70945,184689,2045897,SAMN20332236
-NM,20201444,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,91,53110,118305,2018384,SAMN20409145
-NM,20202812,11A,neg,neg,neg,neg,neg,2,newST,2,6,0,0.03,"mef,msrD",neg,neg,neg,63,77409,184438,2006059,SAMN20397811
-NM,20203950,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,47,86997,252393,2040846,SAMN20398161
-NM,20198725,11A,neg,pos,neg,neg,neg,2,newST,2,6,157,0.03,neg,neg,neg,neg,50,118646,278990,2018079,SAMN20408416
-NM,20199780,12F,neg,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,46,106707,206230,1974472,SAMN20408798
-NM,20202788,12F,neg,neg,neg,neg,neg,neg,15085,0,0,0,0.03,"mef,msrD",neg,neg,ParC-D83Y,83,81331,226498,2033944,SAMN20397789
-NM,20202793,12F,neg,neg,neg,neg,neg,neg,15314,0,0,2,0.03,neg,neg,neg,neg,81,74806,460308,2017779,SAMN20397794
-NM,20196122,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,119,54755,143170,2102906,SAMN20332079
-NM,20197737,15A,neg,neg,neg,neg,neg,neg,63,13,175,43,2,ermB,neg,tetM,neg,98,65384,356216,2149946,SAMN20332587
-NM,20198715,15A,neg,neg,neg,neg,neg,neg,newST,76,0,2,0.03,"mef,msrD",neg,neg,neg,60,120557,211793,2105315,SAMN20408406
-NM,20200748,15A,neg,neg,neg,neg,neg,neg,2186,76,0,2,0.03,neg,neg,neg,neg,59,105029,363320,2068646,SAMN20408872
-NM,20201443,15A,neg,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,neg,tetM,neg,72,113678,193320,2074165,SAMN20409144
-NM,20201450,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD","FolP177,180",neg,neg,75,98182,308646,2063241,SAMN20409151
-NM,20202084,15A,neg,neg,neg,neg,neg,neg,9692,76,0,2,0.03,"mef,msrD",neg,neg,neg,54,124750,268844,2106363,SAMN20409355
-NM,20195672,15B,neg,neg,neg,pos,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,150,58016,159847,2095008,SAMN20331951
-NM,20199774,15C,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,81,80239,286321,2107104,SAMN20408792
-NM,20199616,16F,neg,neg,pos,neg,neg,neg,1840,68,10,11,0.06,neg,neg,neg,neg,52,125403,367844,2115183,SAMN20408640
-NM,20202068,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,117,71543,285591,2038192,SAMN20409339
-NM,20202069,16F,neg,neg,neg,neg,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,141,66232,163982,2077216,SAMN20409340
-NM,20195669,19A,neg,neg,neg,neg,neg,neg,2344,18,611,8,2,neg,"FolA-I100L,FolP178",neg,neg,233,33929,86537,2077107,SAMN20331948
-NM,20196482,19A,neg,neg,neg,neg,neg,1,3425,29,NF,26,4,"mef,msrD","FolA-I100L,FolP180",neg,neg,58,89608,251964,2090343,SAMN20332249
-NM,20196108,19F,neg,neg,neg,neg,pos,neg,newST,2,4,0,0.03,neg,neg,neg,neg,260,26428,73629,2076424,SAMN20332066
-NM,20196462,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,89,54737,287427,2107145,SAMN20332229
-NM,20197732,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,80,60120,286702,2104076,SAMN20332582
-NM,20195656,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,237,24307,79753,2068506,SAMN20331936
-NM,20196125,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,364,16828,72892,2044319,SAMN20332082
-NM,20196464,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,144,42368,192853,2046532,SAMN20332231
-NM,20197748,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,64,77610,261498,2080076,SAMN20332597
-NM,20202087,22F,neg,neg,neg,neg,neg,neg,10163,1,2,2,0.03,"mef,msrD",neg,neg,neg,63,65788,214684,2053276,SAMN20409358
-NM,20202098,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,85,58784,180479,2054655,SAMN20409369
-NM,20204914,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,77,77899,134491,2052567,SAMN20398276
-NM,20202800,22F,neg,unk,neg,neg,neg,neg,433,1,2,NF,,neg,neg,neg,neg,104,46899,98920,2113694,SAMN20397801
-NM,20196111,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,FolA-I100L,tetM,neg,170,43558,124683,2120806,SAMN20332069
-NM,20196117,23A,neg,neg,neg,neg,pos,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,151,40915,158830,2117346,SAMN20332074
-NM,20196130,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,300,23222,85591,2050295,SAMN20332087
-NM,20198714,23A,neg,neg,neg,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,38,124514,305778,2074926,SAMN20408405
-NM,20198723,23A,neg,neg,neg,neg,neg,neg,438,2,0,6,0.03,neg,neg,neg,neg,53,109978,228830,2060717,SAMN20408414
-NM,20198731,23A,neg,neg,neg,neg,neg,neg,438,2,0,6,0.03,neg,neg,neg,neg,52,89308,276451,2060863,SAMN20408422
-NM,20199617,23A,neg,neg,neg,neg,neg,neg,338,0,1,48,0.25,neg,"FolA-I100L,FolP177",neg,neg,56,124620,305086,2129313,SAMN20408641
-NM,20199775,23A,neg,neg,pos,neg,neg,neg,newST,2,0,1007,0.12,neg,neg,neg,neg,46,123813,363857,2065070,SAMN20408793
-NM,20202072,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,108,51888,235250,2120066,SAMN20409343
-NM,20202089,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,125,57616,158415,2097434,SAMN20409360
-NM,20202092,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,50,111724,307687,2063733,SAMN20409363
-NM,20202804,23A,neg,neg,neg,neg,neg,neg,newST,0,1,1,0.25,neg,neg,neg,ParC-S79F,90,59946,184090,2060525,SAMN20397805
-NM,20202807,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,49,131483,241007,2061151,SAMN20397807
-NM,20202811,23A,neg,neg,neg,neg,neg,neg,10323,2,0,0,0.03,neg,neg,neg,neg,58,114318,261279,2076191,SAMN20397810
-NM,20195659,23B,neg,neg,neg,neg,neg,neg,439,0,0,0,0.03,neg,neg,neg,neg,186,58403,156921,2153537,SAMN20331939
-NM,20195685,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,154,114898,332847,2179766,SAMN20331963
-NM,20199618,23B,neg,neg,neg,neg,neg,1,162,1,0,0,0.03,neg,neg,neg,neg,87,60777,258626,2134245,SAMN20408642
-NM,20197749,28A,neg,neg,neg,neg,neg,neg,494,2,2,2,0.03,neg,neg,neg,neg,71,105336,238389,2049524,SAMN20332598
-NM,20202070,28A,neg,neg,neg,neg,neg,neg,494,2,2,2,0.03,neg,neg,neg,neg,66,87138,192256,2035146,SAMN20409341
-NM,20196105,33F,neg,neg,neg,neg,neg,neg,7507,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,108,54524,160541,2054528,SAMN20332064
-NM,20196465,33F,neg,neg,neg,pos,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,48,121262,344721,2067186,SAMN20332232
-NM,20198720,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,39,118794,277448,2053868,SAMN20408411
-NM,20202076,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,179464,359294,2050111,SAMN20409347
-NM,20195653,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,263,33332,89640,2112572,SAMN20331933
-NM,20195688,35B,neg,neg,neg,neg,neg,1,11254,4,7,7,2,neg,"FolA-I100L,FolP169",neg,neg,119,48101,106905,2024473,SAMN20331966
-NM,20196114,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,221,35053,105157,2021383,SAMN20332071
-NM,20196137,35B,neg,neg,neg,neg,neg,1,11254,4,7,7,2,neg,"FolA-I100L,FolP169",neg,neg,180,38804,87045,2025995,SAMN20332093
-NM,20196474,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,59,81105,165419,2012715,SAMN20332241
-NM,20198732,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,38,105416,235514,2034128,SAMN20408423
-NM,20199619,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,53,105668,279572,2117925,SAMN20408643
-NM,20199778,35B,neg,neg,neg,pos,neg,1,newST,4,7,7,2,23S rRNA-A2061C,neg,neg,neg,48,82548,204897,2081493,SAMN20408796
-NM,20201454,35B,neg,neg,neg,neg,neg,1,162,0,0,0,0.03,neg,neg,neg,neg,71,89474,355786,2095354,SAMN20409155
-NM,20202080,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,tetM,neg,52,90993,165437,2025366,SAMN20409351
-NM,20202090,35B,neg,neg,neg,neg,pos,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,50,98277,221219,2018424,SAMN20409361
-NM,20202792,35B,neg,neg,neg,neg,neg,1,162,0,0,0,0.03,neg,neg,neg,neg,87,59215,267222,2137954,SAMN20397793
-NM,20202794,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,23S rRNA-A2061C,neg,neg,neg,77,63995,112721,2010228,SAMN20397795
-NM,20202088,35D,neg,neg,neg,pos,neg,1,10063,4,7,7,2,neg,FolP169,neg,neg,62,85713,144000,2037845,SAMN20409359
-NM,20197747,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,85,85653,290099,2102929,SAMN20332596
-NM,20201449,6C,neg,neg,neg,neg,neg,neg,1390,2,0,2,0.03,neg,neg,neg,neg,113,79691,170003,2108032,SAMN20409150
-NM,20203947,6C,neg,neg,pos,neg,neg,neg,473,1,4,21,0.06,neg,neg,neg,neg,60,75330,267672,2138342,SAMN20398160
-NM,20202797,6C,neg,pos,pos,neg,neg,1,1092,6,7,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,88,83600,178118,2184463,SAMN20397798
-NM,20196107,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,154,42401,115868,2068657,SAMN20332065
-NM,20197733,7C,neg,neg,neg,neg,neg,neg,10460,2,4,3,0.03,neg,neg,tetM,neg,96,61390,221160,2147744,SAMN20332583
-NM,20198716,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,152,56543,163905,2161432,SAMN20408407
-NM,20199773,7C,neg,neg,neg,neg,neg,neg,newST,2,0,3,0.03,neg,neg,neg,neg,70,130682,334364,2075613,SAMN20408791
-NM,20200746,7C,neg,neg,neg,neg,neg,neg,4510,12,0,3,0.03,neg,neg,neg,neg,59,124244,188549,2073253,SAMN20408870
-NM,20201445,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,ParC-S79F,240,24792,88583,2079060,SAMN20409146
-NM,20194239,9N,neg,neg,pos,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,217,22389,70327,2051824,SAMN20331803
-NM,20195670,9N,neg,neg,neg,neg,neg,neg,15331,1,0,0,0.03,neg,neg,neg,neg,219,36198,82957,2078712,SAMN20331949
-NM,20195684,9N,neg,neg,neg,neg,neg,neg,4666,23,0,0,0.03,neg,neg,neg,neg,64,85017,383428,2009318,SAMN20331962
-NM,20195686,9N,neg,neg,pos,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,82,70877,173444,2052955,SAMN20331964
-NM,20196121,9N,neg,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,202,39040,132013,2039931,SAMN20332078
-NM,20196128,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,178,34744,97757,2072184,SAMN20332085
-NM,20197723,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,55,88389,225062,2046288,SAMN20332573
-NM,20197731,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,121,79027,191079,2171788,SAMN20332581
-NM,20197734,9N,neg,neg,neg,neg,neg,neg,4666,23,0,0,0.03,neg,neg,neg,neg,71,104535,279159,2076630,SAMN20332584
-NM,20197745,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,80,69137,173396,2044436,SAMN20332594
-NM,20198712,9N,neg,neg,neg,neg,neg,neg,newST,1,0,0,0.03,neg,neg,neg,neg,36,156212,360269,2045254,SAMN20408403
-NM,20199623,9N,neg,neg,neg,neg,neg,neg,66,1,0,66,0.03,neg,neg,neg,neg,35,197524,432539,2085978,SAMN20408647
-NM,20199776,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,60,108485,244444,2075251,SAMN20408794
-NM,20201442,9N,neg,neg,neg,neg,neg,neg,newST,23,0,0,0.03,neg,neg,neg,neg,62,77421,279080,2034726,SAMN20409143
-NM,20202085,9N,neg,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,99,75453,395416,2181520,SAMN20409356
-NM,20197741,9N,neg,pos,neg,neg,neg,neg,66,1,179,0,0.03,"mef,msrD",neg,neg,neg,66,74064,187309,2084157,SAMN20332590
-NM,20200747,9N,neg,pos,neg,neg,neg,neg,66,6,0,167,0.12,neg,FolP169,neg,neg,77,69413,245900,2089161,SAMN20408871
-NM,20202071,9N,neg,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,49,127142,334847,2085758,SAMN20409342
-NM,20202813,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,50,129945,216322,1975552,SAMN20397812
-NM,20194236,3,pos,neg,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,44,102976,308355,1981171,SAMN20331801
-NM,20195649,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,124,39553,128077,1976681,SAMN20331929
-NM,20195654,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,109,64043,145175,1973104,SAMN20331934
-NM,20195655,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,160,29484,129850,1971115,SAMN20331935
-NM,20195662,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,128,66343,131420,1969345,SAMN20331941
-NM,20195663,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,83,57969,167323,1973945,SAMN20331942
-NM,20195692,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,58,129958,216315,1975284,SAMN20331970
-NM,20196113,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,93,64071,131001,1973421,SAMN20332070
-NM,20196120,3,pos,neg,neg,neg,neg,neg,180,435,0,2,0.03,neg,neg,neg,neg,90,60252,169944,1973822,SAMN20332077
-NM,20196132,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,140,47168,91137,1975999,SAMN20332089
-NM,20196455,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,127,39445,99350,1975090,SAMN20332222
-NM,20196456,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,79,69382,154979,1975022,SAMN20332223
-NM,20196460,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,56,94296,263404,1986631,SAMN20332227
-NM,20196470,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,48,135744,216330,1975592,SAMN20332237
-NM,20196478,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,83,59448,128202,1975827,SAMN20332245
-NM,20196479,3,pos,neg,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,117,57611,104330,1970054,SAMN20332246
-NM,20197718,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,123,71301,162787,1972548,SAMN20332569
-NM,20197722,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,100,43464,136966,1974748,SAMN20332572
-NM,20197727,3,pos,neg,neg,neg,neg,neg,180,435,0,2,0.03,neg,neg,neg,neg,109,66454,141120,1975884,SAMN20332577
-NM,20197729,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,62,64014,212439,1973233,SAMN20332579
-NM,20198707,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,49,129938,216294,1974697,SAMN20408398
-NM,20198710,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,55,130632,204018,1974695,SAMN20408401
-NM,20198733,3,pos,neg,neg,neg,pos,neg,180,2,3,2,0.03,neg,neg,neg,neg,66,63656,194524,1987074,SAMN20408424
-NM,20198735,3,pos,neg,neg,neg,pos,neg,180,2,3,2,0.03,neg,neg,neg,neg,44,142703,263291,1987000,SAMN20408426
-NM,20200745,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,129955,219164,1975178,SAMN20408869
-NM,20201455,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,103,63371,146719,1972481,SAMN20409156
-NM,20202094,3,pos,neg,neg,neg,neg,neg,16656,2,0,2,0.03,neg,neg,neg,neg,59,93668,261288,1973961,SAMN20409365
-NM,20202095,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,67,68582,192786,1974549,SAMN20409366
-NM,20202787,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,115,43117,123280,1974846,SAMN20397788
-NM,20202789,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,88,58361,131669,1975955,SAMN20397790
-NM,20202791,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,68,77073,192620,1975091,SAMN20397792
-NM,20202795,3,pos,neg,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,90,61950,187781,1976872,SAMN20397796
-NM,20202798,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,91,73690,163445,1975792,SAMN20397799
-NM,20202814,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,57,117711,216241,1974795,SAMN20397813
-NM,20202815,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,75,68757,162764,1976638,SAMN20397814
-NM,20204910,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,65,64982,153876,1976156,SAMN20398272
-NM,20195689,3,pos,pos,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,80,64135,177615,1973291,SAMN20331967
-NM,20196116,3,pos,pos,neg,neg,neg,neg,180,2,612,2,0.03,neg,neg,neg,neg,311,24196,85731,1967271,SAMN20332073
-NM,20200743,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,63,81890,266766,1974973,SAMN20408867
-NM,20202078,3,pos,pos,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,71,104084,216271,1975150,SAMN20409349
-NM,20202079,3,pos,unk,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,44,115661,263612,1975821,SAMN20409350
-NM,20196138,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,200,44149,115997,2007459,SAMN20332094
-NM,20196477,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,77,80630,203855,2009290,SAMN20332244
-NM,20197716,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,76,83606,195802,2009659,SAMN20332567
-NM,20197726,4,pos,neg,pos,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,58,119042,203903,2010236,SAMN20332576
-NM,20197744,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,94,52966,174538,2015324,SAMN20332593
-NM,20198718,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,73,85072,195581,2014873,SAMN20408409
-NM,20198722,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,64,85108,203899,2011137,SAMN20408413
-NM,20198724,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,62,119042,203903,2010770,SAMN20408415
-NM,20198728,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,63,85086,195593,2008623,SAMN20408419
-NM,20199634,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,465,30863,99133,2148916,SAMN20408658
-NM,20202075,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,71,78579,195569,2040551,SAMN20409346
-NM,20202077,4,pos,neg,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,89,70778,183888,2014955,SAMN20409348
-NM,20195650,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,196,40105,105837,2005811,SAMN20331930
-NM,20198717,4,pos,pos,pos,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,73,96505,201005,2007845,SAMN20408408
-NM,20198726,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,57,85108,200018,2006874,SAMN20408417
-NM,20202086,4,pos,pos,neg,neg,neg,neg,10172,1,0,0,0.03,neg,FolP178,neg,neg,93,62420,199945,2006027,SAMN20409357
-NM,20195661,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,48,85685,391713,1992724,SAMN20331940
-NM,20195679,8,pos,neg,pos,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,101,66249,212530,1989521,SAMN20331958
-NM,20196126,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,145,30942,108321,1981259,SAMN20332083
-NM,20196457,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,55,122405,254100,1993598,SAMN20332224
-NM,20196458,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,64,90931,236724,1994678,SAMN20332225
-NM,20197728,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,57,97288,391206,1992040,SAMN20332578
-NM,20197730,8,pos,neg,pos,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,38,199003,469088,1994625,SAMN20332580
-NM,20197742,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,55,85651,347257,1991628,SAMN20332591
-NM,20198721,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,46,139582,391593,1992115,SAMN20408412
-NM,20199622,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,29,218985,469610,1994710,SAMN20408646
-NM,20202091,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,34,134601,303274,1994394,SAMN20409362
-NM,20202096,8,pos,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,43,144190,391242,1992817,SAMN20409367
-NM,20195674,8,pos,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,166,46470,145692,1990154,SAMN20331953
-NM,20195680,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,103,64651,123210,2077380,SAMN20331959
-NM,20198736,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,71,94412,324720,2087532,SAMN20408427
-NM,20199621,20,pos,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,94,64368,192353,2039495,SAMN20408645
-NM,20202796,20,pos,neg,pos,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,85,109654,215292,2089050,SAMN20397797
-NM,20196131,20,pos,pos,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,225,27017,115623,2094000,SAMN20332088
-NM,20197724,20,pos,pos,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,80,110617,324708,2091579,SAMN20332574
-NM,20195652,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,162,38464,94723,1980008,SAMN20331932
-NM,20195658,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,78,61299,119384,1979263,SAMN20331938
-NM,20195665,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,273,39255,92544,1961558,SAMN20331944
-NM,20195671,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,205,32099,96634,1971541,SAMN20331950
-NM,20195678,12F,pos,neg,neg,neg,neg,neg,15314,0,0,2,0.03,neg,neg,neg,neg,112,51838,156412,2016367,SAMN20331957
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-NM,20199631,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,42,119460,206283,1979195,SAMN20408655
-NM,20199777,12F,pos,neg,pos,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,78,56633,383027,2041460,SAMN20408795
-NM,20201446,12F,pos,neg,pos,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,129,49440,116337,1979245,SAMN20409147
-NM,20202073,12F,pos,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,48,94412,152345,1977938,SAMN20409344
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-NM,20195664,12F,pos,pos,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,442,17277,87621,1957238,SAMN20331943
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-NM,20196472,12F,pos,pos,pos,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,42,91471,152453,1979992,SAMN20332239
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-NM,20200742,12F,pos,pos,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,44,94700,186359,1979475,SAMN20408866
-NM,20201451,12F,pos,pos,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,96,49508,317807,2042256,SAMN20409152
-NM,20201456,12F,pos,pos,pos,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,120,58741,152273,1977100,SAMN20409157
-NM,20202802,12F,pos,pos,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,74,62012,152361,1979899,SAMN20397803
-NM,20204911,12F,pos,pos,pos,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,44,77288,207388,1979062,SAMN20398273
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-NM,20197736,15A,pos,neg,pos,neg,neg,neg,2186,76,0,2,0.03,neg,neg,neg,neg,53,114433,259118,2068211,SAMN20332586
-NM,20204909,15A,pos,neg,neg,neg,neg,neg,13486,13,7,73,2,ermB,"FolA-I100L,FolP178",tetM,neg,98,55218,127059,2119297,SAMN20398271
-NM,20196483,19A,pos,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,73,105609,248288,2039882,SAMN20332250
-NM,20194235,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,115,48982,121249,2084898,SAMN20331800
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-NM,20204915,22F,pos,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,78,69040,250846,2076725,SAMN20398277
-NM,20196475,22F,pos,pos,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,79,59530,265629,2053466,SAMN20332242
-NM,20202803,22F,pos,pos,pos,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,76,71939,196117,2072892,SAMN20397804
-NM,20202097,22F,pos,unk,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,90,48817,146684,2051243,SAMN20409368
-NM,20195682,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,116,63702,156332,2055234,SAMN20331961
-NM,20196115,33F,pos,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,91,63734,131063,2052994,SAMN20332072
-NM,20195675,35B,pos,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,181,41644,119998,2061373,SAMN20331954
-NM,20196123,35B,pos,neg,neg,pos,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,248,34342,94134,2054674,SAMN20332080
-NM,20196466,35B,pos,neg,neg,neg,neg,1,162,0,0,0,0.03,neg,neg,neg,neg,113,56158,265932,2134258,SAMN20332233
-NM,20197719,35B,pos,neg,neg,neg,neg,1,162,0,0,0,0.03,neg,neg,neg,neg,111,54944,215980,2136695,SAMN20332570
-NM,20198711,35B,pos,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,42,82498,297825,2033273,SAMN20408402
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-NY,20203091,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,59,98605,212415,2036382,SAMN20397910
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-NY,20199703,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,24,332492,465841,2108902,SAMN20408726
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-NY,20197963,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,79,66659,169591,2042929,SAMN20332656
-NY,20197972,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,106,41012,83363,2043740,SAMN20332665
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-NY,20204993,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,59,68281,182590,2061039,SAMN20398278
-NY,20196213,11A,neg,pos,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,54,78332,192974,2040544,SAMN20332113
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-NY,20194561,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,144,35140,80270,2044001,SAMN20331829
-NY,20194581,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,141,48670,114076,2091330,SAMN20331835
-NY,20194589,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,120,55749,127045,2069394,SAMN20331842
-NY,20195888,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,185,38850,156772,2085138,SAMN20332000
-NY,20195890,15A,neg,neg,neg,neg,neg,neg,63,24,27,13,0.25,ermB,FolP180,tetM,neg,74,75642,283601,2113564,SAMN20332002
-NY,20197956,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,89,96196,249649,2071365,SAMN20332649
-NY,20197967,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,82,93713,190465,2065975,SAMN20332660
-NY,20197968,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,78,74126,258871,2061816,SAMN20332661
-NY,20199704,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,neg,neg,neg,neg,79,121127,355659,2083271,SAMN20408727
-NY,20203061,15A,neg,neg,neg,pos,neg,neg,63,13,175,43,2,ermB,neg,tetM,neg,85,65630,274007,2104984,SAMN20397883
-NY,20203079,15A,neg,neg,neg,neg,neg,neg,63,24,27,8,0.5,ermB,neg,tetM,neg,69,73307,241710,2060284,SAMN20397901
-NY,20196217,15B,neg,neg,neg,neg,neg,neg,16635,24,31,8,0.5,ermB,FolP178,tetM,neg,119,57337,123304,2130660,SAMN20332117
-NY,20201728,15B,neg,neg,neg,neg,pos,neg,199,1,0,6,0.03,neg,neg,neg,neg,127,47401,128060,2100642,SAMN20409278
-NY,20196207,15C,neg,neg,neg,neg,neg,neg,199,2,0,0,0.03,"mef,msrD",neg,neg,neg,74,86887,256927,2104708,SAMN20332107
-NY,20196639,15C,neg,neg,neg,pos,neg,neg,16637,2,0,2,0.03,"mef,msrD",FolP176,neg,neg,271,33036,101484,2193366,SAMN20332276
-NY,20203069,15C,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,58,132823,239147,2104735,SAMN20397891
-NY,20194578,16F,neg,neg,neg,neg,neg,neg,995,91,4,3,0.03,neg,neg,neg,neg,87,67123,177930,2058235,SAMN20331833
-NY,20195886,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,128,61162,165538,2047127,SAMN20331998
-NY,20197962,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,70,92067,348095,2087242,SAMN20332655
-NY,20199260,16F,neg,neg,neg,neg,neg,neg,995,91,4,3,0.03,neg,neg,neg,neg,60,114826,272666,2056791,SAMN20408484
-NY,20201060,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,51,119405,540666,2056705,SAMN20409106
-NY,20203085,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,75,96499,309586,2102392,SAMN20397907
-NY,20206396,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,58,110355,338235,2087882,SAMN20398349
-NY,20203084,17F,neg,neg,neg,neg,neg,neg,392,11,0,0,0.03,"mef,msrD",neg,neg,neg,74,82652,199730,2119938,SAMN20397906
-NY,20203073,18C,neg,neg,neg,neg,neg,neg,3594,10,4,2,0.03,"mef,msrD",neg,tetM,neg,65,86995,204691,2075407,SAMN20397895
-NY,20195884,19A,neg,neg,neg,neg,neg,1,2284,8,0,11,0.12,"mef,msrD",neg,neg,neg,163,39039,150553,2202665,SAMN20331996
-NY,20199255,19A,neg,neg,neg,neg,neg,1:02,7915,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,64,67768,308921,2041029,SAMN20408479
-NY,20199975,19A,neg,neg,neg,neg,pos,2,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,61,90052,345478,2027930,SAMN20408837
-NY,20203067,19A,neg,neg,neg,neg,pos,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,82,90786,309147,2067205,SAMN20397889
-NY,20196645,19F,neg,neg,neg,neg,neg,2,15322,2,0,0,0.03,neg,neg,neg,neg,85,49110,183466,2099029,SAMN20332282
-NY,20196646,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,RpoB-H491P (2),84,60383,287349,2109623,SAMN20332283
-NY,20196653,19F,neg,neg,neg,pos,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,84,49462,224916,2110143,SAMN20332290
-NY,20197958,19F,neg,neg,neg,pos,neg,2,newST,2,0,0,0.03,neg,neg,neg,neg,83,64154,287113,2105478,SAMN20332651
-NY,20197965,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,65,86291,287172,2106878,SAMN20332658
-NY,20203077,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,94,47716,224963,2108986,SAMN20397899
-NY,20203086,19F,neg,neg,neg,neg,neg,neg,654,2,0,0,0.03,neg,neg,neg,neg,89,54773,169279,2103758,SAMN20397908
-NY,20204995,19F,neg,neg,neg,pos,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,76,84599,287613,2112067,SAMN20398280
-NY,20194562,22F,neg,neg,neg,neg,neg,neg,433,1,2,286,0.03,neg,neg,neg,neg,105,48471,97963,2059455,SAMN20331830
-NY,20194590,22F,neg,neg,neg,neg,neg,neg,433,1,2,286,0.03,neg,neg,neg,neg,140,41426,93203,2059208,SAMN20331843
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-OR,20203173,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,83,77398,287043,2108800,SAMN20397992
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-OR,20198128,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,72,60035,194967,2106571,SAMN20332725
-OR,20200318,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,91,52359,126433,2065616,SAMN20408863
-OR,20201064,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,54,77810,261127,2076224,SAMN20409110
-OR,20195804,23A,neg,neg,neg,neg,neg,neg,4726,2,0,6,0.03,neg,"FolA-I100L,FolP178",neg,neg,56,95394,206793,2047446,SAMN20331989
-OR,20195810,23A,neg,neg,pos,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,89,85546,134948,2143923,SAMN20331995
-OR,20196282,23A,neg,neg,neg,neg,neg,neg,2777,0,1,1,0.25,neg,neg,neg,neg,180,35983,129220,2115153,SAMN20332139
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-OR,20196280,28A,neg,neg,neg,neg,neg,neg,13263,2,2,2,0.03,neg,neg,neg,neg,201,32132,103963,2102681,SAMN20332137
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-OR,20199501,28A,neg,neg,pos,neg,neg,neg,13263,2,2,2,0.03,neg,neg,neg,neg,57,130724,307269,2044549,SAMN20408629
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-OR,20195806,33F,neg,neg,neg,pos,neg,neg,100,2,0,6,0.03,neg,FolP189,neg,neg,84,112456,506370,2062534,SAMN20331991
-OR,20196278,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,75,77801,240856,2066811,SAMN20332135
-OR,20196281,33F,neg,neg,neg,neg,pos,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,126,47019,117946,2056059,SAMN20332138
-OR,20196289,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,32,145775,336887,2054010,SAMN20332144
-OR,20201062,33F,neg,neg,neg,pos,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,51,97499,318437,2044135,SAMN20409108
-OR,20203177,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,48,172303,385533,2085862,SAMN20397996
-OR,20196275,35B,neg,neg,neg,neg,neg,1,558,4,14,7,2,"mef,msrD",neg,neg,neg,53,89711,150687,2014057,SAMN20332132
-OR,20196283,35B,neg,neg,neg,neg,pos,1,10493,4,7,7,2,"mef,msrD",neg,neg,ParC-S79F,106,63281,165340,2031653,SAMN20332140
-OR,20196847,35B,neg,neg,neg,neg,neg,neg,452,0,0,0,0.03,"mef,msrD",neg,neg,neg,81,68518,195535,2087444,SAMN20332380
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-OR,20201066,35D,neg,neg,neg,neg,neg,neg,452,0,0,0,0.03,neg,neg,neg,neg,222,44106,101028,2143449,SAMN20409112
-OR,20195785,35F,neg,neg,pos,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,115,71235,234276,2119690,SAMN20331971
-OR,20195795,35F,neg,neg,neg,neg,neg,neg,1635,0,0,3,0.03,neg,neg,neg,neg,96,64639,267726,2119549,SAMN20331980
-OR,20195808,35F,neg,neg,neg,neg,neg,neg,498,0,0,3,0.03,neg,neg,neg,neg,111,51909,132462,2064592,SAMN20331993
-OR,20201730,35F,neg,neg,neg,neg,neg,neg,newST,0,626,3,0.06,neg,FolA-I100L,neg,neg,98,43462,273064,2152123,SAMN20409280
-OR,20194174,6A,neg,neg,neg,neg,neg,neg,473,7,34,44,R,"mef,msrD",FolP173,neg,neg,312,31822,86684,2113192,SAMN20331778
-OR,20195786,6B,neg,neg,neg,neg,neg,neg,90,5,57,56,R,ermB,"FolA-I100L,FolP178",tetM,neg,136,40316,106493,2189117,SAMN20331972
-OR,20196855,6C,neg,unk,pos,neg,neg,neg,inc,1,4,21,0.06,neg,neg,neg,neg,68,88206,345126,2079184,SAMN20332388
-OR,20194172,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,138,45401,191100,2032272,SAMN20331777
-OR,20199709,9N,neg,neg,neg,neg,neg,neg,405,23,0,0,0.03,neg,neg,neg,neg,67,86000,328256,2027496,SAMN20408732
-OR,20201063,9N,neg,neg,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,71,130969,357751,2129210,SAMN20409109
-OR,20201731,9N,neg,neg,neg,neg,neg,neg,4666,23,0,0,0.03,neg,neg,neg,neg,60,81643,335459,2006827,SAMN20409281
-OR,20203182,9N,neg,neg,pos,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,46,100119,358211,2056834,SAMN20398000
-OR,20196856,9N,neg,pos,neg,neg,neg,neg,632,1,0,0,0.03,neg,neg,neg,neg,51,103883,358099,2088036,SAMN20332389
-OR,20194165,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,83,66446,163358,1977284,SAMN20331773
-OR,20194170,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,239,42470,92533,1965207,SAMN20331775
-OR,20195789,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,55,128258,297432,1975245,SAMN20331975
-OR,20195792,3,pos,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,48,128234,227695,1987356,SAMN20331978
-OR,20195805,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,90,54335,178056,1978197,SAMN20331990
-OR,20196268,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,49,119132,188007,1980886,SAMN20332126
-OR,20196269,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,42,187963,297521,1977132,SAMN20332127
-OR,20196846,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,50,168226,261304,1975777,SAMN20332379
-OR,20196848,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,68,91671,187834,2044408,SAMN20332381
-OR,20196854,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,79,72037,155616,1974337,SAMN20332387
-OR,20199713,3,pos,neg,pos,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,46,178374,253365,1971952,SAMN20408734
-OR,20203172,3,pos,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,66,68631,231823,1975090,SAMN20397991
-OR,20203188,3,pos,neg,neg,pos,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,93,56780,192882,1975529,SAMN20398006
-OR,20201732,8,pos,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,35,98331,391738,1991030,SAMN20409282
-OR,20203187,8,pos,pos,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,35,144159,469526,1990773,SAMN20398005
-OR,20210227,8,pos,pos,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,32,174838,294928,1991344,SAMN20398370
-OR,20196274,20,pos,neg,pos,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,111,37630,131626,2092183,SAMN20332131
-OR,20199500,20,pos,neg,neg,neg,neg,neg,235,1,NF,2,0.03,neg,neg,neg,neg,68,96386,199763,2088408,SAMN20408628
-OR,20201740,20,pos,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,109,45106,105082,2091072,SAMN20409289
-OR,20195791,20,pos,pos,pos,neg,neg,neg,235,1,NF,2,0.03,neg,neg,neg,neg,100,55156,139591,2089989,SAMN20331977
-OR,20203185,20,pos,pos,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,59,88858,166168,2093855,SAMN20398003
-OR,20196276,12F,pos,neg,pos,neg,neg,neg,11249,0,0,2,0.03,neg,neg,neg,neg,84,64203,294281,2012415,SAMN20332133
-OR,20196857,12F,pos,neg,neg,pos,neg,neg,11249,0,0,308,0.03,neg,neg,neg,neg,106,62374,240172,2009242,SAMN20332390
-OR,20201742,12F,pos,pos,pos,neg,neg,neg,11249,0,0,308,0.03,neg,neg,neg,neg,71,75924,374765,2021824,SAMN20409291
-OR,20201738,19F,pos,neg,neg,neg,neg,2,654,11,0,0,0.03,neg,neg,neg,neg,87,48413,186070,2067150,SAMN20409287
-OR,20194166,22F,pos,neg,neg,neg,neg,neg,11559,1,2,2,0.03,neg,neg,neg,neg,173,33548,115567,2070908,SAMN20331774
-OR,20195793,22F,pos,neg,neg,neg,neg,neg,11559,1,2,2,0.03,neg,neg,neg,neg,86,50381,109221,2064152,SAMN20331979
-OR,20196267,33F,pos,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,46,86405,327433,2031638,SAMN20332125
-OR,20196271,33F,pos,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,43,141713,360881,2029769,SAMN20332128
-OR,20196858,33F,pos,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,41,143989,262972,2028311,SAMN20332391
-OR,20201744,33F,pos,neg,neg,neg,neg,neg,717,2,0,6,0.03,ermB,neg,tetM,neg,129,40469,144561,2029096,SAMN20409293
-OR,20194171,7F,pos,neg,neg,neg,neg,2,191,2,0,2,0.03,"mef,msrD",neg,neg,neg,246,24308,64555,2005141,SAMN20331776
-OR,20194175,7F,pos,neg,pos,neg,neg,2,191,2,0,2,0.03,"mef,msrD",neg,neg,neg,246,23202,77151,2002429,SAMN20331779
-OR,20198130,7F,pos,neg,neg,neg,neg,2,191,2,0,2,0.03,"mef,msrD",neg,neg,neg,90,69595,164913,2002142,SAMN20332727
-OR,20201734,7F,pos,neg,neg,neg,neg,2,191,2,0,2,0.03,"mef,msrD",neg,neg,neg,156,46296,125791,2001287,SAMN20409284
-OR,20194171,7F,pos,pos,neg,neg,neg,2,191,2,0,2,0.03,"ermB,mef,msrD",neg,tetM,neg,150,31871,71933,2153119,SAMN20331776
-OR,20195787,7F,pos,pos,pos,neg,neg,2,191,2,0,2,0.03,"mef,msrD",neg,neg,neg,138,33191,148576,2004009,SAMN20331973
-OR,20198129,9N,pos,neg,neg,neg,neg,neg,66,1,0,0,0.03,neg,neg,neg,neg,60,108799,369233,2102600,SAMN20332726
-TN,20196624,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,132,66356,157802,1968485,SAMN20332261
-TN,20197939,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,93,51568,150343,1985143,SAMN20332632
-TN,20197946,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,39,176554,308238,2042438,SAMN20332639
-TN,20197952,3,neg,neg,neg,neg,neg,neg,13499,2,3,2,0.03,neg,neg,neg,neg,101,49355,122926,1988673,SAMN20332645
-TN,20199276,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,48,216633,310008,2046991,SAMN20408492
-TN,20199281,3,neg,neg,neg,neg,neg,neg,newST,2,0,111,0.06,ermB,neg,tetM,cat,108,65598,133953,2036316,SAMN20408497
-TN,20199284,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,36,167541,417553,1988409,SAMN20408500
-TN,20199294,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,65,75502,156684,2042513,SAMN20408510
-TN,20199301,3,neg,neg,neg,neg,neg,neg,180,2,3,1005,0.03,neg,neg,neg,neg,74,64998,159644,1987140,SAMN20408517
-TN,20199315,3,neg,neg,pos,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,55,117338,238071,2042635,SAMN20408531
-TN,20199322,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,55,131626,234360,2041316,SAMN20408537
-TN,20199651,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,53,127639,265845,1972470,SAMN20408675
-TN,20199660,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,101,91567,196761,2040388,SAMN20408684
-TN,20199790,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,38,195833,361640,2011236,SAMN20408803
-TN,20199791,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,49,136828,350670,2012277,SAMN20408804
-TN,20199793,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,82,73393,173313,1971789,SAMN20408806
-TN,20199802,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,113,53033,130587,1972313,SAMN20408815
-TN,20200863,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,40,141005,323206,1986161,SAMN20408968
-TN,20201672,3,neg,neg,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,51,103231,263467,2042478,SAMN20409224
-TN,20202193,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,ermB-G45E,neg,tetM,cat,174,36831,129854,2040644,SAMN20397663
-TN,20202822,3,neg,neg,neg,neg,neg,neg,11588,2,3,2,0.03,neg,neg,neg,neg,81,80900,171273,2018474,SAMN20397821
-TN,20202826,3,neg,neg,neg,neg,neg,neg,9684,2,3,2,0.03,neg,neg,neg,neg,84,74963,243627,1986914,SAMN20397825
-TN,20202828,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,30,174803,324909,1987128,SAMN20397827
-TN,20203899,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,27,264353,757478,1987600,SAMN20398122
-TN,20203905,3,neg,neg,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,41,130120,180153,1987413,SAMN20398128
-TN,20211409,3,neg,neg,neg,neg,neg,neg,180,2,0,2,0.03,neg,neg,neg,neg,82,60243,139565,1975453,SAMN20398373
-TN,20201673,3,neg,pos,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,54,131039,309910,2044628,SAMN20409225
-TN,20202827,3,neg,unk,neg,neg,neg,neg,180,2,0,111,0.06,ermB,neg,tetM,cat,61,97306,212562,2044535,SAMN20397826
-TN,20203929,3,neg,unk,neg,neg,neg,neg,180,2,3,2,0.03,neg,neg,neg,neg,58,111993,263182,1988469,SAMN20398152
-TN,20197914,4,neg,neg,neg,neg,neg,1,205,0,0,3,0.03,neg,neg,neg,neg,136,52433,94320,2164096,SAMN20332609
-TN,20196195,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,89,45726,155009,1990620,SAMN20332104
-TN,20196620,8,neg,neg,neg,neg,neg,neg,53,3,6,5,0.03,neg,neg,neg,neg,137,31571,158731,2036726,SAMN20332257
-TN,20197917,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,32,185268,469613,1985192,SAMN20332612
-TN,20197950,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,48,135372,299633,1992495,SAMN20332643
-TN,20199275,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,58,73742,199098,1993544,SAMN20408491
-TN,20199285,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,40,144197,393511,1994412,SAMN20408501
-TN,20199291,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,144,100713,413914,2026861,SAMN20408507
-TN,20199316,8,neg,neg,neg,neg,neg,neg,1268,3,5,5,0.03,neg,neg,neg,neg,69,73401,218508,1988506,SAMN20408532
-TN,20199639,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,56,85571,288615,1991508,SAMN20408663
-TN,20199665,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,41,144157,538712,1990950,SAMN20408689
-TN,20199809,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,71,98246,340486,1997622,SAMN20408822
-TN,20201690,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,42,100730,393499,1995910,SAMN20409242
-TN,20202205,8,neg,neg,neg,neg,neg,neg,4216,50,0,0,0.03,neg,neg,neg,neg,60,109505,297918,2067173,SAMN20397675
-TN,20202831,8,neg,neg,neg,neg,neg,neg,3714,50,0,0,0.03,neg,neg,neg,neg,49,130273,305862,2002894,SAMN20397830
-TN,20203897,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,35,185357,239640,1997007,SAMN20398120
-TN,20203908,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,32,144235,469682,1991980,SAMN20398131
-TN,20204671,8,neg,neg,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,48,144212,454640,1998972,SAMN20398264
-TN,20202197,8,neg,pos,neg,neg,neg,neg,1480,3,5,5,0.03,neg,neg,neg,neg,33,144188,469539,1990981,SAMN20397667
-TN,20196193,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,58,116304,226381,2051050,SAMN20332102
-TN,20196631,20,neg,neg,neg,neg,pos,neg,1257,1,4,2,0.03,neg,neg,neg,neg,76,75934,199993,2093135,SAMN20332268
-TN,20197925,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,59,96422,226374,2050335,SAMN20332619
-TN,20197941,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,79,97010,192527,2083708,SAMN20332634
-TN,20197947,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,73,100262,324725,2086371,SAMN20332640
-TN,20199298,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,81,70840,142559,2096935,SAMN20408514
-TN,20199305,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,72,85190,276295,2092668,SAMN20408521
-TN,20199314,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,53,127313,226354,2090593,SAMN20408530
-TN,20199637,20,neg,neg,neg,neg,neg,neg,235,1,4,12,0.03,neg,neg,neg,neg,67,101864,358749,2090439,SAMN20408661
-TN,20199638,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,74,75934,199988,2090819,SAMN20408662
-TN,20202198,20,neg,neg,neg,neg,neg,neg,235,1,4,2,0.03,neg,neg,neg,neg,74,79029,261747,2084631,SAMN20397668
-TN,20202210,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,96,59246,123409,2092758,SAMN20397680
-TN,20202818,20,neg,neg,neg,neg,neg,neg,1030,1,44,2,0.03,neg,neg,neg,neg,93,73151,193928,2088285,SAMN20397817
-TN,20202836,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,72,62632,200046,2093251,SAMN20397835
-TN,20202839,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,75,83031,177803,2094198,SAMN20397838
-TN,20203910,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,76,77489,200019,2095484,SAMN20398133
-TN,20206752,20,neg,neg,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,134,81503,200017,2106297,SAMN20398353
-TN,20199287,20,neg,unk,neg,neg,neg,neg,1257,1,4,2,0.03,neg,neg,neg,neg,84,64274,199955,2083558,SAMN20408503
-TN,20197938,21,neg,neg,neg,neg,neg,neg,432,0,0,2,0.03,neg,neg,neg,neg,62,88450,356610,2164817,SAMN20332631
-TN,20199789,21,neg,neg,neg,neg,neg,neg,2927,84,15,122,1,"mef,msrD",neg,neg,neg,72,71196,239687,2099618,SAMN20408802
-TN,20197915,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,65,69272,224130,2030272,SAMN20332610
-TN,20199641,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,61,90392,246556,2046515,SAMN20408665
-TN,20199803,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,93,63291,165833,2014610,SAMN20408816
-TN,20201674,31,neg,neg,neg,neg,neg,neg,11184,12,0,0,0.03,neg,FolP178,neg,neg,85,73345,133178,2025097,SAMN20409226
-TN,20202825,31,neg,neg,neg,neg,neg,neg,568,12,0,0,0.03,neg,neg,neg,neg,93,52608,163060,2058097,SAMN20397824
-TN,20202830,31,neg,neg,neg,neg,neg,neg,568,12,0,95,0.03,neg,neg,neg,neg,120,52567,125615,2016311,SAMN20397829
-TN,20202834,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,neg,neg,neg,neg,79,57926,114761,2041860,SAMN20397833
-TN,20203936,31,neg,neg,neg,neg,neg,neg,1111,12,0,0,0.03,"mef,msrD",neg,neg,neg,126,40620,116307,2043878,SAMN20398159
-TN,20210341,31,neg,neg,neg,neg,neg,neg,newST,12,0,0,0.03,neg,neg,neg,neg,61,73325,208609,2016678,SAMN20398372
-TN,20197933,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,45,166946,320927,2096010,SAMN20332627
-TN,20199299,34,neg,neg,neg,neg,neg,neg,11268,0,0,2,0.03,neg,neg,neg,neg,69,114321,288506,2142821,SAMN20408515
-TN,20201677,34,neg,neg,neg,neg,neg,neg,547,0,0,2,0.03,neg,neg,neg,neg,79,89929,244926,2140355,SAMN20409229
-TN,20200880,38,neg,neg,neg,neg,neg,neg,393,2,4,0,0.03,neg,neg,neg,neg,94,56595,163111,2122132,SAMN20408985
-TN,20197924,10A,neg,neg,neg,neg,neg,neg,1263,2,4,522,0.12,ermB,neg,tetM,neg,97,58294,215260,2039539,SAMN20332618
-TN,20199321,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,52,101691,263850,2067442,SAMN20408536
-TN,20199645,10A,neg,neg,neg,neg,neg,neg,97,0,0,2,0.03,"mef,msrD",neg,neg,neg,56,77125,333425,2062803,SAMN20408669
-TN,20199646,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,60,100733,262314,2110941,SAMN20408670
-TN,20202183,10A,neg,neg,neg,neg,neg,neg,816,2,0,2,0.03,neg,neg,neg,neg,106,85990,194649,2064035,SAMN20397655
-TN,20203898,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,"mef,msrD",neg,neg,neg,121,60917,237721,2072553,SAMN20398121
-TN,20203900,10A,neg,neg,neg,neg,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,147,42608,109004,2060604,SAMN20398123
-TN,20202842,10A,neg,pos,pos,neg,neg,neg,97,0,0,2,0.03,"mef,msrD",neg,neg,neg,71,98053,210756,2070011,SAMN20397841
-TN,20202202,10A,neg,unk,neg,pos,neg,neg,816,0,0,2,0.03,neg,neg,neg,neg,106,40283,129881,2110742,SAMN20397672
-TN,20196190,11A,neg,neg,neg,neg,neg,neg,62,2,6,10,0.03,"mef,msrD","FolA-I100L,FolP182",neg,neg,63,69094,184714,2015193,SAMN20332099
-TN,20196192,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,104,59189,206535,2040757,SAMN20332101
-TN,20199647,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,tetM,neg,58,115922,278247,2017178,SAMN20408671
-TN,20199653,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,50,121356,286503,2004355,SAMN20408677
-TN,20199667,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,65,85872,214814,2059015,SAMN20408691
-TN,20199801,11A,neg,neg,pos,neg,neg,1,166,15,12,18,2,ermB,"FolA-I100L,FolP180",tetM,neg,72,105747,267449,2102934,SAMN20408814
-TN,20200869,11A,neg,neg,neg,neg,neg,1,156,7,12,242,0.25,neg,"FolA-I100L,FolP178",neg,neg,66,79200,266022,2086214,SAMN20408974
-TN,20201683,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,109,43684,88251,2059982,SAMN20409235
-TN,20202189,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,neg,neg,neg,neg,115,35555,150845,2003689,SAMN20397661
-TN,20202212,11A,neg,neg,neg,neg,neg,2,62,2,6,0,0.03,"mef,msrD",neg,neg,neg,89,59045,150631,2007840,SAMN20397682
-TN,20203933,11A,neg,neg,neg,neg,neg,2,newST,2,6,0,0.03,neg,neg,neg,neg,101,45630,86477,2005142,SAMN20398156
-TN,20205361,11A,neg,unk,neg,neg,neg,1,newST,7,12,242,0.25,neg,"FolA-I100L,FolP178",neg,neg,58,99232,342754,2084921,SAMN20398332
-TN,20197923,12F,neg,neg,neg,neg,neg,neg,11595,0,0,0,0.03,"mef,msrD",neg,neg,neg,105,56090,287295,2053011,SAMN20332617
-TN,20199657,12F,neg,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,70,77199,152317,1977351,SAMN20408681
-TN,20199666,12F,neg,neg,neg,neg,neg,neg,3522,0,0,2,0.03,neg,neg,neg,neg,72,71593,250325,2050432,SAMN20408690
-TN,20200884,12F,neg,neg,neg,neg,neg,neg,220,0,0,2,0.03,neg,neg,neg,neg,66,76986,205343,1978036,SAMN20408989
-TN,20202849,12F,neg,neg,neg,neg,neg,neg,218,0,0,0,0.03,"mef,msrD",neg,neg,neg,97,61268,292074,2047642,SAMN20397848
-TN,20196186,15A,neg,neg,neg,neg,pos,neg,11818,24,31,8,0.5,ermB,FolP178,tetM,neg,156,44521,107550,2129216,SAMN20332095
-TN,20196617,15A,neg,neg,neg,neg,neg,neg,63,24,27,143,0.5,ermB,neg,tetM,neg,95,65317,158429,2122335,SAMN20332254
-TN,20196625,15A,neg,neg,neg,neg,neg,neg,63,24,27,995,0.5,ermB,FolP178,tetM,neg,102,57643,139813,2072290,SAMN20332262
-TN,20197908,15A,neg,neg,neg,neg,neg,neg,63,24,27,28,0.25,ermB,neg,tetM,neg,114,56604,202877,2112818,SAMN20332604
-TN,20197911,15A,neg,neg,neg,pos,neg,neg,12019,24,62,73,0.5,ermB,"FolA-I100L,FolP178",tetM,neg,86,66301,211867,2118472,SAMN20332607
-TN,20199277,15A,neg,neg,neg,neg,neg,neg,insufficient quality,60,16,8,2,ermB,neg,tetM,neg,75,109431,284736,2099319,SAMN20408493
-TN,20199302,15A,neg,neg,neg,neg,neg,neg,1191,24,27,28,0.25,neg,FolP189,tetM,neg,70,96111,293262,2064856,SAMN20408518
-TN,20199312,15A,neg,neg,neg,neg,neg,neg,11818,27,31,114,1,ermB,FolP195,tetM,neg,91,72659,186414,2090198,SAMN20408528
-TN,20199796,15A,neg,neg,neg,neg,neg,neg,1710,24,16,138,0.5,ermB,neg,tetM,neg,72,93758,288365,2077096,SAMN20408809
-TN,20199799,15A,neg,neg,neg,neg,neg,neg,63,4,7,114,1,ermB,FolP195,tetM,neg,68,75323,273788,2130719,SAMN20408812
-TN,20199807,15A,neg,neg,neg,neg,neg,neg,63,67,27,8,1,ermB,FolP178,tetM,neg,175,34836,99409,2114754,SAMN20408820
-TN,20201696,15A,neg,neg,neg,neg,neg,neg,63,24,27,11,0.12,ermB,FolP178,tetM,neg,113,49498,155721,2072561,SAMN20409248
-TN,20202823,15A,neg,neg,neg,neg,neg,neg,11818,27,31,1012,1,ermB,FolP195,tetM,neg,67,64196,155492,2126004,SAMN20397822
-TN,20202840,15A,neg,neg,neg,neg,neg,1,3811,1,0,0,0.03,"mef,msrD",neg,neg,neg,86,75099,354307,2094315,SAMN20397839
-TN,20203893,15A,neg,neg,neg,neg,neg,neg,63,24,27,114,0.5,ermB,FolP195,tetM,neg,67,79114,249984,2090265,SAMN20398116
-TN,20203901,15A,neg,neg,neg,neg,neg,neg,9939,24,27,28,0.25,ermB,FolP178,tetM,neg,140,58712,113617,2157372,SAMN20398124
-TN,20204670,15A,neg,neg,neg,neg,neg,neg,63,4,7,114,1,ermB,FolP195,tetM,neg,89,64079,165498,2130193,SAMN20398263
-TN,20197949,15B,neg,neg,neg,neg,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,68,77293,258409,2101469,SAMN20332642
-TN,20199794,15B,neg,neg,neg,neg,neg,neg,63,2,27,11,0.12,ermB,FolP178,tetM,neg,75,67315,218568,2112630,SAMN20408807
-TN,20200883,15B,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,66,95477,199540,2151636,SAMN20408988
-TN,20203918,15B,neg,neg,neg,neg,neg,neg,1262,2,0,2,0.03,neg,FolP176,neg,neg,81,95126,272678,2117789,SAMN20398141
-TN,20197934,15C,neg,neg,neg,neg,neg,1,7479,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,73,71120,167020,2105620,SAMN20332628
-TN,20200879,15C,neg,neg,neg,neg,neg,1,3280,7,8,9,0.25,"mef,msrD","FolP177,180",tetM,neg,72,87576,258403,2105012,SAMN20408984
-TN,20196616,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,83,76377,193802,2058265,SAMN20332253
-TN,20196630,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,91,88593,164411,2074899,SAMN20332267
-TN,20197944,16F,neg,neg,neg,neg,neg,neg,3157,0,0,3,0.03,neg,neg,neg,neg,97,76493,167641,2128805,SAMN20332637
-TN,20199663,16F,neg,neg,neg,neg,neg,neg,1840,0,4,2,0.03,neg,neg,neg,neg,52,126866,225055,2078969,SAMN20408687
-TN,20199800,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,72,97419,164657,2079879,SAMN20408813
-TN,20200866,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,58,115409,334844,2114285,SAMN20408971
-TN,20200870,16F,neg,neg,neg,neg,neg,neg,1840,0,10,2,0.03,neg,neg,neg,neg,54,154504,224683,2071151,SAMN20408975
-TN,20200873,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,74,102605,333183,2132067,SAMN20408978
-TN,20201676,16F,neg,neg,neg,neg,neg,neg,414,0,6,2,0.03,neg,neg,neg,neg,64,131982,258785,2082118,SAMN20409228
-TN,20201681,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,56,125869,186871,2079441,SAMN20409233
-TN,20202182,16F,neg,neg,neg,neg,neg,1,1092,6,7,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,88,70596,288335,2159969,SAMN20397654
-TN,20203891,16F,neg,neg,neg,neg,neg,neg,1840,0,10,14,0.06,"mef,msrD",neg,neg,neg,81,64830,178793,2090621,SAMN20398114
-TN,20203923,16F,neg,neg,neg,neg,neg,neg,10148,0,10,14,0.06,neg,neg,neg,neg,50,128538,238851,2079756,SAMN20398146
-TN,20203932,16F,neg,neg,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,44,129569,343997,2043201,SAMN20398155
-TN,20210340,16F,neg,neg,neg,neg,neg,neg,995,9,4,3,0.03,neg,neg,neg,neg,50,115583,333040,2043716,SAMN20398371
-TN,20199309,16F,neg,pos,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,43,138202,428947,2034527,SAMN20408525
-TN,20201694,16F,neg,unk,neg,neg,neg,neg,659,9,0,3,0.03,neg,neg,neg,neg,65,91834,244506,2054064,SAMN20409246
-TN,20204664,16F,neg,unk,neg,neg,neg,neg,12018,0,10,2,0.03,neg,neg,neg,neg,81,97425,274760,2119167,SAMN20398258
-TN,20199668,17F,neg,neg,neg,neg,neg,neg,12020,NF,0,0,0.03,neg,neg,neg,neg,67,100577,195319,2068383,SAMN20408692
-TN,20199792,17F,neg,neg,neg,neg,neg,neg,1924,11,0,172,0.03,neg,neg,neg,neg,94,59706,153939,2078954,SAMN20408805
-TN,20200876,17F,neg,neg,neg,neg,neg,neg,392,11,0,0,0.03,neg,neg,neg,neg,62,99880,351695,2121084,SAMN20408981
-TN,20202185,17F,neg,neg,neg,neg,neg,neg,1924,11,0,172,0.03,neg,neg,neg,neg,84,69007,235811,2076492,SAMN20397657
-TN,20203926,17F,neg,neg,neg,neg,neg,neg,123,11,0,0,0.03,"mef,msrD",FolP189,neg,neg,112,68069,188707,2078347,SAMN20398149
-TN,20196638,19A,neg,neg,neg,pos,neg,1:02,1451,13,11,996,0.5,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,56,69190,376319,2072537,SAMN20332275
-TN,20197919,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,131,52357,238052,2050673,SAMN20332614
-TN,20197929,19A,neg,neg,neg,neg,neg,1:02,2514,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP180",tetM,neg,101,59122,363685,2056608,SAMN20332623
-TN,20199280,19A,neg,neg,neg,neg,neg,1:02,320,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,50,90628,397448,2038178,SAMN20408496
-TN,20199282,19A,neg,neg,neg,neg,neg,1:02,newST,13,14,1006,8,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,70,67910,183667,2086620,SAMN20408498
-TN,20199297,19A,neg,neg,neg,neg,neg,1:02,8202,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,59,69196,397976,2064636,SAMN20408513
-TN,20199797,19A,neg,neg,neg,neg,neg,1,695,8,0,11,0.12,neg,neg,neg,neg,91,58079,109938,2149758,SAMN20408810
-TN,20199810,19A,neg,neg,neg,neg,neg,1:02,newST,13,11,16,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,71,62898,356477,2038647,SAMN20408823
-TN,20202832,19A,neg,neg,neg,neg,neg,2,320,13,11,1013,4,"ermB,mef,msrD","FolA-I100L,FolP195",tetM,neg,96,58752,299830,2059815,SAMN20397831
-TN,20197910,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,88,54690,185723,2107971,SAMN20332606
-TN,20199300,19F,neg,neg,neg,neg,neg,2,1258,2,78,3,0.03,neg,neg,neg,neg,70,82670,239567,2065796,SAMN20408516
-TN,20199670,19F,neg,neg,neg,neg,neg,2,12865,2,0,0,0.03,neg,neg,neg,neg,79,56956,224884,2109804,SAMN20408694
-TN,20202211,19F,neg,neg,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,110,55230,182153,2107243,SAMN20397681
-TN,20204663,19F,neg,neg,neg,neg,neg,neg,newST,2,0,3,0.03,neg,"FolA-I100L,FolP178",tetM,neg,68,96558,360491,2131490,SAMN20398257
-TN,20202209,19F,neg,pos,neg,neg,neg,neg,newST,2,4,2,0.03,neg,"FolA-I100L,FolP178",tetM,neg,87,76424,278937,2166478,SAMN20397679
-TN,20197932,19F,neg,unk,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,68,60850,287638,2107688,SAMN20332626
-TN,20199798,19F,neg,unk,neg,neg,neg,1,179,34,32,43,2,ermB,neg,tetM,neg,244,55677,156966,2236095,SAMN20408811
-TN,20201671,19F,neg,unk,neg,neg,neg,2,654,2,0,0,0.03,neg,neg,neg,neg,78,49037,287422,2106456,SAMN20409223
-TN,20196626,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,73,61900,260974,2072734,SAMN20332263
-TN,20197920,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,68,86971,228142,2054330,SAMN20332615
-TN,20197930,22F,neg,neg,neg,neg,neg,neg,newST,0,628,0,0.03,neg,neg,neg,neg,40,195619,311232,2000468,SAMN20332624
-TN,20197943,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,82,56390,141735,2074867,SAMN20332636
-TN,20199295,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,63,68529,297684,2052355,SAMN20408511
-TN,20199307,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,neg,neg,neg,neg,78,61757,176405,2100283,SAMN20408523
-TN,20199655,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,"mef,msrD",neg,neg,neg,73,59285,213579,2073849,SAMN20408679
-TN,20199658,22F,neg,neg,neg,neg,neg,neg,12037,1,2,207,0.03,neg,neg,neg,neg,66,65740,193683,2078077,SAMN20408682
-TN,20199805,22F,neg,neg,neg,neg,neg,neg,12037,1,2,207,0.03,neg,neg,neg,neg,97,46950,128764,2076149,SAMN20408818
-TN,20199808,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,71,52414,213213,2115898,SAMN20408821
-TN,20200864,22F,neg,neg,neg,neg,neg,neg,433,1,631,2,0.03,"mef,msrD",neg,neg,neg,67,98450,195438,2069656,SAMN20408969
-TN,20200871,22F,neg,neg,neg,neg,neg,neg,7314,1,2,204,0.03,"mef,msrD",neg,neg,neg,67,66611,296700,2053038,SAMN20408976
-TN,20200878,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,60,98317,140869,2067231,SAMN20408983
-TN,20202188,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,132,46807,118630,2075573,SAMN20397660
-TN,20202835,22F,neg,neg,neg,neg,neg,neg,433,99,2,2,0.06,neg,neg,neg,neg,69,76519,216956,2075255,SAMN20397834
-TN,20202841,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,115,46802,171960,2104851,SAMN20397840
-TN,20202843,22F,neg,neg,neg,neg,neg,neg,433,1,2,2,0.03,neg,neg,neg,neg,73,64522,128743,2041179,SAMN20397842
-TN,20203894,22F,neg,neg,neg,neg,neg,neg,433,1,2,59,0.03,"mef,msrD",neg,neg,neg,60,69305,210554,2073720,SAMN20398117
-TN,20203921,22F,neg,neg,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,75,65573,298349,2058023,SAMN20398144
-TN,20196189,22F,neg,unk,neg,neg,neg,neg,7314,1,2,2,0.03,"mef,msrD",neg,neg,neg,153,32939,130413,2051878,SAMN20332098
-TN,20197912,22F,neg,unk,neg,neg,neg,neg,12037,1,2,207,0.03,neg,neg,neg,neg,64,69223,164307,2080190,SAMN20332608
-TN,20196191,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,96,76018,192260,2063027,SAMN20332100
-TN,20196632,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,63,119775,305692,2063620,SAMN20332269
-TN,20197926,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,57,83998,266920,2058018,SAMN20332620
-TN,20197945,23A,neg,neg,neg,neg,neg,neg,16641,2,0,6,0.03,ermB,"FolA-I100L,FolP169",tetM,cat,36,172658,355453,2123765,SAMN20332638
-TN,20199289,23A,neg,neg,neg,neg,neg,neg,338,19,1,NF,0.5,ermB,neg,tetM,neg,55,124491,223506,2119601,SAMN20408505
-TN,20199296,23A,neg,neg,neg,neg,neg,neg,newST,2,0,6,0.03,neg,neg,neg,neg,46,133766,276509,2064926,SAMN20408512
-TN,20199304,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,52,125033,294626,2107054,SAMN20408520
-TN,20199317,23A,neg,neg,neg,neg,neg,neg,10323,2,0,0,0.03,neg,neg,neg,neg,53,95254,224646,2067181,SAMN20408533
-TN,20199642,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,neg,neg,neg,34,121030,425935,2103896,SAMN20408666
-TN,20199661,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,64,97440,275931,2105828,SAMN20408685
-TN,20199662,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,73,97630,305877,2143685,SAMN20408686
-TN,20199787,23A,neg,neg,neg,neg,neg,neg,10323,2,0,0,0.03,neg,neg,neg,neg,80,116792,261124,2069850,SAMN20408800
-TN,20199788,23A,neg,neg,neg,neg,neg,neg,338,0,1,1,0.25,neg,FolA-I100L,neg,neg,59,101528,305893,2106969,SAMN20408801
-TN,20199795,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,36,158761,402633,2055932,SAMN20408808
-TN,20200877,23A,neg,neg,neg,neg,neg,neg,16651,19,1,24,0.5,ermB,neg,tetM,ParC-S79F,72,71371,135007,2054504,SAMN20408982
-TN,20201682,23A,neg,neg,pos,neg,neg,neg,338,19,1,24,0.5,ermB,neg,tetM,neg,53,116499,305502,2067633,SAMN20409234
-TN,20201686,23A,neg,neg,neg,neg,neg,neg,13242,2,0,6,0.03,neg,neg,neg,neg,86,71893,168674,2060999,SAMN20409238
-TN,20202846,23A,neg,neg,neg,neg,neg,neg,42,2,0,6,0.03,neg,neg,neg,neg,50,96162,241023,2059761,SAMN20397845
-TN,20203896,23A,neg,neg,pos,neg,neg,neg,338,0,1,1,0.25,"mef,msrD",neg,neg,neg,56,115975,294703,2068550,SAMN20398119
-TN,20199288,23A,neg,pos,neg,neg,neg,neg,338,0,1,48,0.25,neg,"FolA-I100L,FolP179",neg,neg,46,125011,485784,2100321,SAMN20408504
-TN,20203904,23A,neg,pos,neg,neg,neg,neg,8802,150,53,320,0.25,neg,neg,neg,neg,113,55073,187262,2043697,SAMN20398127
-TN,20196333,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,neg,neg,neg,54,175634,332819,2132947,SAMN20332181
-TN,20196619,23B,neg,neg,neg,neg,pos,neg,1373,0,1,1,0.25,"mef,msrD",FolP180,neg,neg,133,51281,220877,2145427,SAMN20332256
-TN,20197904,23B,neg,neg,neg,neg,neg,neg,newST,0,1,1,0.25,neg,FolP180,neg,neg,80,98051,329527,2132772,SAMN20332600
-TN,20197916,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,39,177354,570399,2028614,SAMN20332611
-TN,20197936,23B,neg,neg,neg,neg,neg,neg,14023,0,1,1,0.25,neg,FolP180,neg,neg,77,157378,285070,2131389,SAMN20332629
-TN,20197940,23B,neg,neg,neg,pos,neg,neg,1448,450,0,0,0.03,"mef,msrD",neg,neg,neg,35,147339,262128,2080681,SAMN20332633
-TN,20199278,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,35,192294,404972,2064735,SAMN20408494
-TN,20199659,23B,neg,neg,neg,neg,neg,2,439,0,0,0,0.03,"mef,msrD",neg,neg,neg,101,127165,416826,2131678,SAMN20408683
-TN,20202213,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,64,90581,314414,2137195,SAMN20397683
-TN,20203903,23B,neg,neg,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,58,116632,388321,2138383,SAMN20398126
-TN,20203931,23B,neg,neg,neg,neg,neg,neg,36,2,0,120,0.03,neg,neg,neg,neg,34,177448,499564,2065475,SAMN20398154
-TN,20199669,23B,neg,pos,neg,neg,neg,neg,1373,0,1,1,0.25,neg,FolP180,neg,neg,129,88931,332718,2177932,SAMN20408693
-TN,20196615,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,28,136523,606841,2047338,SAMN20332252
-TN,20197905,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,26,157818,605018,2054009,SAMN20332601
-TN,20199303,33F,neg,neg,neg,neg,neg,neg,2705,2,0,6,0.03,"mef,msrD","FolA-I100L,FolP189",neg,neg,30,222095,344927,2065143,SAMN20408519
-TN,20201688,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,31,180392,359309,2055302,SAMN20409240
-TN,20201691,33F,neg,neg,neg,neg,neg,neg,11856,2,31,198,0.12,"mef,msrD","FolA-I100L,FolP189",neg,neg,50,155840,441082,2068250,SAMN20409243
-TN,20202195,33F,neg,neg,neg,neg,neg,neg,12022,2,0,6,0.03,neg,FolP189,neg,neg,37,157895,264788,2014380,SAMN20397665
-TN,20202196,33F,neg,neg,neg,neg,neg,neg,100,2,NF,6,0.03,"mef,msrD",FolP189,neg,neg,43,121431,351355,2052924,SAMN20397666
-TN,20202206,33F,neg,neg,neg,neg,neg,neg,100,458,0,6,0.03,neg,neg,neg,neg,33,135294,334269,2005477,SAMN20397676
-TN,20202207,33F,neg,neg,neg,neg,neg,neg,14040,2,0,3,0.03,"mef,msrD",FolP189,neg,neg,61,84907,349072,2053808,SAMN20397677
-TN,20203907,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,28,157843,558227,2047623,SAMN20398130
-TN,20203924,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,28,154584,383038,2054889,SAMN20398147
-TN,20203934,33F,neg,neg,neg,neg,neg,neg,100,2,0,6,0.03,"mef,msrD",FolP189,neg,neg,34,157787,359249,2047123,SAMN20398157
-TN,20197937,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,50,113169,276882,2090006,SAMN20332630
-TN,20197953,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,90,56723,147048,2129070,SAMN20332646
-TN,20199292,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,40,106131,343369,2034379,SAMN20408508
-TN,20199313,35B,neg,neg,neg,neg,neg,1,13496,4,12,1,0.25,"mef,msrD","FolA-I100L,FolP178",neg,neg,70,105670,210394,2132485,SAMN20408529
-TN,20199640,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,143,104662,253694,2067348,SAMN20408664
-TN,20199652,35B,neg,neg,neg,neg,neg,1,7854,4,7,7,2,"ermB,mef,msrD",neg,tetM,neg,65,82591,165366,2059696,SAMN20408676
-TN,20199804,35B,neg,neg,neg,neg,pos,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,36,141998,641311,2038657,SAMN20408817
-TN,20200865,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,75,86089,209720,2126987,SAMN20408970
-TN,20201680,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,83,63582,278959,2124458,SAMN20409232
-TN,20201685,35B,neg,neg,neg,neg,neg,1,16653,4,7,7,2,"mef,msrD",neg,neg,neg,44,82012,297849,2034529,SAMN20409237
-TN,20201693,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,50,93226,376553,2033076,SAMN20409245
-TN,20202201,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,88,68164,105980,2014755,SAMN20397671
-TN,20202208,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,43,85762,197676,2014713,SAMN20397678
-TN,20202819,35B,neg,neg,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,59,77001,484681,2030191,SAMN20397818
-TN,20202820,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,61,69886,148987,2131152,SAMN20397819
-TN,20202838,35B,neg,neg,neg,neg,pos,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,48,105529,261898,2014413,SAMN20397837
-TN,20203895,35B,neg,neg,neg,pos,neg,1,558,4,7,112,1,"mef,msrD",neg,neg,neg,45,105424,223126,2012102,SAMN20398118
-TN,20203902,35B,neg,neg,neg,neg,neg,1,558,4,7,7,2,"mef,msrD",neg,neg,neg,94,50410,102834,2035975,SAMN20398125
-TN,20203922,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,77,65643,164272,2129043,SAMN20398145
-TN,20206751,35B,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,59,74352,227314,2087159,SAMN20398352
-TN,20203911,35B,neg,unk,neg,neg,neg,1,10493,4,7,7,2,"mef,msrD",neg,neg,neg,48,82511,167751,2034958,SAMN20398134
-TN,20199656,35D,neg,neg,neg,neg,neg,1,156,4,12,7,2,"mef,msrD","FolA-I100L,FolP178",neg,neg,66,66120,153748,2131372,SAMN20408680
-TN,20201692,35F,neg,neg,neg,neg,neg,neg,16654,0,1,3,0.06,neg,neg,neg,neg,97,61741,252902,2120041,SAMN20409244
-TN,20196187,6C,neg,neg,neg,neg,neg,neg,inc,19,34,44,0.5,"mef,msrD",neg,neg,neg,76,72032,198736,2129340,SAMN20332096
-TN,20197942,6C,neg,neg,neg,neg,neg,neg,473,1,4,21,0.06,neg,neg,neg,neg,73,87654,330731,2144665,SAMN20332635
-TN,20199293,6C,neg,neg,neg,neg,neg,neg,1876,36,34,44,0.5,"mef,msrD",neg,neg,neg,60,97945,303870,2080310,SAMN20408509
-TN,20199311,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,"mef,msrD",neg,neg,neg,80,85216,146372,2083413,SAMN20408527
-TN,20200867,6C,neg,neg,neg,neg,neg,neg,1379,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,60,106839,168385,2069440,SAMN20408972
-TN,20200875,6C,neg,neg,neg,neg,neg,neg,1692,2,6,0,0.03,neg,neg,neg,neg,81,84124,210406,2089529,SAMN20408980
-TN,20200881,6C,neg,neg,neg,neg,neg,neg,639,2,0,0,0.03,"mef,msrD",neg,neg,neg,79,70044,130222,2077954,SAMN20408986
-TN,20200882,6C,neg,neg,neg,neg,neg,neg,newST,19,31,8,1,"mef,msrD","FolA-I100L,FolP173",neg,neg,113,91883,193309,2096872,SAMN20408987
-TN,20203915,6C,neg,neg,neg,neg,neg,1,1092,6,7,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,47,104991,334042,2152526,SAMN20398138
-TN,20203916,6C,neg,neg,neg,neg,neg,1,138,0,0,3,0.03,neg,FolP180,neg,neg,53,98366,247119,2164063,SAMN20398139
-TN,20204666,6C,neg,neg,neg,neg,neg,neg,16673,2,0,0,0.03,"mef,msrD",neg,neg,neg,83,70102,130375,2078075,SAMN20398260
-TN,20204668,6C,neg,neg,neg,neg,neg,1,1092,6,101,8,0.5,neg,"FolA-I100L,FolP195",neg,neg,37,114335,366175,2150900,SAMN20398261
-TN,20199286,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,157,62624,133726,2167703,SAMN20408502
-TN,20202191,7C,neg,neg,neg,neg,neg,neg,1797,2,4,6,0.03,neg,neg,neg,neg,185,43165,170597,2171326,SAMN20397662
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diff --git a/data/abcs/standard/data.csv-MWMJ0G3P8D.gz b/data/abcs/standard/data.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index 8da60014b..000000000
Binary files a/data/abcs/standard/data.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/abcs/standard/datapackage.json b/data/abcs/standard/datapackage.json
index 63af09718..efcd30e48 100644
--- a/data/abcs/standard/datapackage.json
+++ b/data/abcs/standard/datapackage.json
@@ -2,323 +2,6 @@
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-              "45": 1144,
-              "47F": 1144,
-              "5": 1144,
-              "6A": 1144,
-              "6B": 1144,
-              "6C": 1144,
-              "6D": 1144,
-              "7A": 1144,
-              "7B": 1144,
-              "7C": 1144,
-              "7F": 1144,
-              "8": 1144,
-              "9A": 1144,
-              "9L": 1144,
-              "9N": 1144,
-              "9V": 1144,
-              "MISS": 1144,
-              "NT": 1144
-            }
-          },
-          {
-            "name": "time",
-            "duplicates": 100646,
-            "info": [],
-            "time_range": [0, 25],
-            "type": "string",
-            "missing": 0,
-            "table": {
-              "1998-01-01": 3872,
-              "1999-01-01": 3872,
-              "2000-01-01": 3872,
-              "2001-01-01": 3872,
-              "2002-01-01": 3872,
-              "2003-01-01": 3872,
-              "2004-01-01": 3872,
-              "2005-01-01": 3872,
-              "2006-01-01": 3872,
-              "2007-01-01": 3872,
-              "2008-01-01": 3872,
-              "2009-01-01": 3872,
-              "2010-01-01": 3872,
-              "2011-01-01": 3872,
-              "2012-01-01": 3872,
-              "2013-01-01": 3872,
-              "2014-01-01": 3872,
-              "2015-01-01": 3872,
-              "2016-01-01": 3872,
-              "2017-01-01": 3872,
-              "2018-01-01": 3872,
-              "2019-01-01": 3872,
-              "2020-01-01": 3872,
-              "2021-01-01": 3872,
-              "2022-01-01": 3872,
-              "2023-01-01": 3872
-            }
-          },
-          {
-            "name": "N_IPD",
-            "duplicates": 100380,
-            "info": {
-              "id": "N_IPD",
-              "short_name": "Number of IPD episodes",
-              "long_name": "Number of IPD episodes",
-              "category": "Respiratory diseases",
-              "short_description": "Pneumococcal serotype",
-              "measure_type": "count",
-              "unit": "Number",
-              "time_resolution": "year",
-              "sources": [
-                "abcs"
-              ]
-            },
-            "time_range": [0, 25],
-            "type": "integer",
-            "missing": 0,
-            "mean": 3.319116,
-            "sd": 16.239473,
-            "min": 0,
-            "max": 771
-          },
-          {
-            "name": "pct_IPD",
-            "duplicates": 93668,
-            "info": {
-              "id": "pct_IPD",
-              "short_name": "Percent of IPD episodes",
-              "long_name": "Percent of IPD episodes caused by the indicated serotype",
-              "category": "Respiratory diseases",
-              "short_description": "Pneumococcal serotype",
-              "measure_type": "percent",
-              "unit": "%",
-              "time_resolution": "year",
-              "sources": [
-                "abcs"
-              ]
-            },
-            "time_range": [0, 25],
-            "type": "float",
-            "missing": 3168,
-            "mean": 1.136364,
-            "sd": 3.162154,
-            "min": 0,
-            "max": 66.666667
-          },
-          {
-            "name": "pop",
-            "duplicates": 99583,
-            "info": [],
-            "time_range": [0, 25],
-            "type": "float",
-            "missing": 2816,
-            "mean": 2540321.456835,
-            "sd": 4441104.294675,
-            "min": 31633,
-            "max": 30045353
-          },
-          {
-            "name": "rate_IPD",
-            "duplicates": 87385,
-            "info": {
-              "id": "rate_IPD",
-              "short_name": "IPD incidence rate",
-              "long_name": "Invasive pneumococcal disease incidence rate per 100,000 population",
-              "category": "Respiratory diseases",
-              "short_description": "Annual rate of invasive pneumococcal disease cases per 100,000 persons in the ABCs catchment area",
-              "long_description": "Incidence rate of invasive pneumococcal disease (IPD) per 100,000 population, calculated as the number of IPD cases divided by the ABCs surveillance population multiplied by 100,000. Rates are reported by serotype and age group within the ABCs catchment area.",
-              "statement": "In {location}, the IPD incidence rate was {value} per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Cases per 100,000",
-              "time_resolution": "year",
-              "sources": [
-                "abcs"
-              ]
-            },
-            "time_range": [0, 25],
-            "type": "float",
-            "missing": 2816,
-            "mean": 0.181448,
-            "sd": 0.748749,
-            "min": 0,
-            "max": 38.221966
-          }
-        ]
-      },
-      "sha512": "92c86d5d22979cc86e06248136346fba5c6e628c27d6bd3d9a3bb6c139189195bd14851ec61b7d5ca8ad81def6fecbea4bbb07e00c053d78e59de79048c2b099"
-    },
     {
       "bytes": 848917,
       "encoding": "ISO-8859-1",
@@ -409,7 +92,10 @@
             "name": "geography",
             "duplicates": 104533,
             "info": [],
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -440,7 +126,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -464,7 +153,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -562,7 +254,10 @@
             "name": "time",
             "duplicates": 104517,
             "info": [],
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -611,7 +306,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 3.3191,
@@ -635,7 +333,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "float",
             "missing": 3168,
             "mean": 1.136364,
@@ -647,7 +348,10 @@
             "name": "pop",
             "duplicates": 103411,
             "info": [],
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "float",
             "missing": 2816,
             "mean": 2556857.247405,
@@ -673,7 +377,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 26],
+            "time_range": [
+              0,
+              26
+            ],
             "type": "float",
             "missing": 2816,
             "mean": 0.179259,
@@ -735,7 +442,10 @@
             "name": "geography",
             "duplicates": 16,
             "info": [],
-            "time_range": [0, 0],
+            "time_range": [
+              0,
+              0
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -746,7 +456,10 @@
             "name": "time",
             "duplicates": 16,
             "info": [],
-            "time_range": [0, 0],
+            "time_range": [
+              0,
+              0
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -767,7 +480,10 @@
                 "abcs"
               ]
             },
-            "time_range": [0, 0],
+            "time_range": [
+              0,
+              0
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -805,7 +521,10 @@
                 "ssuad"
               ]
             },
-            "time_range": [0, 0],
+            "time_range": [
+              0,
+              0
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 6.470588,
@@ -943,9 +662,6 @@
     }
   },
   "change_report": {
-    "data.csv-MWMJ0G3P8D.gz": {
-      "state": "unchanged"
-    },
     "data.csv.gz": {
       "state": "changed",
       "variables": {
diff --git a/data/area_health_resource_file/ingest.R b/data/area_health_resource_file/ingest.R
index 36f3bd507..3b22c4b6f 100644
--- a/data/area_health_resource_file/ingest.R
+++ b/data/area_health_resource_file/ingest.R
@@ -20,11 +20,8 @@ library(readr)
 
 `%||%` <- function(a, b) if (!is.null(a)) a else b
 
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # ---------------------------------------------------------------------------
 # Helper: find a file by pattern within a directory (recursive, case-insensitive)
diff --git a/data/bundle_antimicrobial_resistance/process.json b/data/bundle_antimicrobial_resistance/process.json
index d024c7f06..815a0265b 100644
--- a/data/bundle_antimicrobial_resistance/process.json
+++ b/data/bundle_antimicrobial_resistance/process.json
@@ -41,12 +41,5 @@
     "./data/bundle_antimicrobial_resistance/dist/resistance_by_agent.parquet": "1a3262b03285c8a62fcbf9a6a99fcfe0",
     "./data/bundle_antimicrobial_resistance/dist/resistance_by_pattern.parquet": "28d2188956f8ec4198cd3b57f69311b7",
     "./data/narms/standard/datapackage.json": "57c4183d29b7fc9e9415853594545c7d"
-  },
-  "standard_state": {
-    "./data/narms/standard/data_resistance_agent.csv.gz": "8fd624a40bca25bd64f6c3e20d85381e",
-    "./data/narms/standard/data_resistance_pattern.csv.gz": "e9c0ecfa3904b4f63f6af6868fed6cb5",
-    "./data/narms/standard/data_retail_meats.csv.gz": "77808546890d5dcf669f74883a194424",
-    "./data/narms/standard/data_animal_pathogen.csv.gz": "c9fc74405cf50ceff73f4424f10f707f",
-    "./data/narms/standard/data_food_animals.csv.gz": "0cdf8ab10824c64e6875f619c6afa240"
   }
 }
diff --git a/data/bundle_cancer_screening/process.json b/data/bundle_cancer_screening/process.json
index 6fbb03f69..80bd61855 100644
--- a/data/bundle_cancer_screening/process.json
+++ b/data/bundle_cancer_screening/process.json
@@ -102,12 +102,6 @@
     "./data/cms_mmd/standard/datapackage.json": "f6ae03d00dc049e032d4d07495f785c3",
     "./data/medicaid_quality/standard/datapackage.json": "b794f3fbfcbe4790e2dd0f898664fd7f"
   },
-  "standard_state": {
-    "./data/cms_mmd/standard/data_state_county_age.csv.gz": "88a800cf35c871a0c29f8908805e45bf",
-    "./data/cms_mmd/standard/data_state_county_age_by_sex.csv.gz": "5b5508ce183c80e31a0edfd860d53c62",
-    "./data/cms_mmd/standard/data_state_county_age_by_race.csv.gz": "39edb8157d2a6568fefa83ace52df39e",
-    "./data/medicaid_quality/standard/data.csv.gz": "ce542e2aca1fc9844eea45f0150e9feb"
-  },
   "checked": "2026-07-13 13:19:43",
   "check_results": {
     "data/bundle_cancer_screening/dist/cms_cancer_screening_by_race.parquet": [],
diff --git a/data/bundle_childhood_immunizations/process.json b/data/bundle_childhood_immunizations/process.json
index c648ca539..2d783d5ec 100644
--- a/data/bundle_childhood_immunizations/process.json
+++ b/data/bundle_childhood_immunizations/process.json
@@ -163,16 +163,33 @@
       }
     }
   ],
-  "source_files": [
-    "schoolvaxview/standard/data.csv.gz",
-    "schoolvaxview/standard/data_exemptions.csv.gz",
-    "schoolvax_washpost/standard/data_counties.csv.gz",
-    "schoolvax_washpost/standard/data_schools.csv.gz",
-    "nis/standard/data.csv.gz",
-    "nis/standard/data_urban.csv.gz",
-    "nis/standard/data_insurance.csv.gz",
-    "epic/standard/children.csv.gz"
-  ],
+  "source_files": {
+    "schoolvaxview/standard/data.csv.gz": [
+      "schoolvaxview_overall.parquet",
+      "state_compare.parquet",
+      "overall_rates_by_source.parquet"
+    ],
+    "schoolvaxview/standard/data_exemptions.csv.gz": [
+      "schoolvaxview_exemptions.parquet"
+    ],
+    "nis/standard/data.csv.gz": [
+      "nis_overall.parquet",
+      "state_compare.parquet",
+      "overall_rates_by_source.parquet"
+    ],
+    "nis/standard/data_urban.csv.gz": [
+      "nis_urban.parquet"
+    ],
+    "nis/standard/data_insurance.csv.gz": [
+      "nis_insurance.parquet"
+    ],
+    "schoolvax_washpost/standard/data_counties.csv.gz": [
+      "wapo_vax_counties.parquet"
+    ],
+    "schoolvax_washpost/standard/data_schools.csv.gz": [
+      "wapo_vax_schools.parquet"
+    ]
+  },
   "dist_state": {
     "./data/bundle_childhood_immunizations/dist/nis_insurance.parquet": "e7385c4a0c75f6b7b8c03939fc43176f",
     "./data/bundle_childhood_immunizations/dist/nis_overall.parquet": "9056539932ffdc9ffc858f828408a16f",
@@ -187,16 +204,6 @@
     "./data/schoolvax_washpost/standard/datapackage.json": "b199d6e7edb23ab459ab4e9249335ea3",
     "./data/nis/standard/datapackage.json": "e495e583bdaf257583981a0d7897a734"
   },
-  "standard_state": {
-    "./data/schoolvaxview/standard/data.csv.gz": "c764ba9364a90660810ca1f61013f087",
-    "./data/schoolvaxview/standard/data_exemptions.csv.gz": "3d9393f9e62add2b80f2c7fbe3fd5014",
-    "./data/schoolvax_washpost/standard/data_counties.csv.gz": "f5c987ebf8d8acdbebce6ec705f51a8c",
-    "./data/schoolvax_washpost/standard/data_schools.csv.gz": "6a9ac29607a1915fd9106f8ff0fe021f",
-    "./data/nis/standard/data.csv.gz": "07a186f645d90898413721af43d2a2d7",
-    "./data/nis/standard/data_urban.csv.gz": "378fdb3e130f5eb5cd4d4ee04976b26f",
-    "./data/nis/standard/data_insurance.csv.gz": "aa92f269972eba8d193c665819711545",
-    "./data/epic/standard/children.csv.gz": {}
-  },
   "checked": "2026-07-13 13:19:43",
   "check_results": {
     "data/bundle_childhood_immunizations/dist/nis_insurance.parquet": [],
diff --git a/data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet b/data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet
deleted file mode 100644
index f0566e50e..000000000
Binary files a/data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/datapackage.json b/data/bundle_chronic_diseases/dist/datapackage.json
index 365a0ea5e..339a07133 100644
--- a/data/bundle_chronic_diseases/dist/datapackage.json
+++ b/data/bundle_chronic_diseases/dist/datapackage.json
@@ -288,7 +288,10 @@
               "short_description": "Geographic unit: U.S. state/territory name (state-level files) or 5-digit county FIPS code (county-level files); 'United States' or '00' = national.",
               "id": "geography"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -357,7 +360,10 @@
               "short_description": "Calendar year of the estimate.",
               "id": "year"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 2020.997361,
@@ -373,7 +379,10 @@
               "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
               "id": "age"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -430,7 +439,10 @@
               },
               "id": "source"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -452,7 +464,10 @@
               },
               "id": "outcome_name"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -479,7 +494,10 @@
               "long_description": "Age-stratified state-level prevalence estimates for diabetes and obesity from the CDC Behavioral Risk Factor Surveillance System (BRFSS). Diabetes prevalence is based on self-reported ever-diagnosis; obesity is based on calculated BMI >=30 from self-reported height and weight. The outcome_name column identifies the condition. Includes 95% confidence intervals (value_lcl, value_ucl) and survey sample size.",
               "id": "value"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "float",
             "missing": 0,
             "mean": 21.588551,
@@ -505,7 +523,10 @@
               ],
               "id": "value_lcl"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "float",
             "missing": 0,
             "mean": 18.537919,
@@ -531,7 +552,10 @@
               ],
               "id": "value_ucl"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "float",
             "missing": 0,
             "mean": 24.639183,
@@ -557,7 +581,10 @@
               ],
               "id": "sample_size"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 982.677723,
@@ -569,3714 +596,6 @@
       },
       "sha512": "03f02aa271380ccd89b38843b69941ed296e0461a91a3948d6ec8d30444b0dd385983bc3fea13edb00e3dd2de4ed5f5cbbfb3c08a462e7d4d8a4a23e30611f0e"
     },
-    {
-      "bytes": 29976,
-      "encoding": "windows-1250",
-      "md5": "53467fd1a7abe591a4e86ef14196ee67",
-      "format": "parquet",
-      "name": "county_opioid_by_source",
-      "filename": "county_opioid_by_source.parquet",
-      "versions": {
-        "hash": [
-          "8501757628fd6a43764f092bc1de45d7792ffefc"
-        ],
-        "author": [
-          "Weinberger <daniel.weinberger@yale.edu>"
-        ],
-        "date": [
-          "Tue Nov 4 22:35:50 2025 -0500"
-        ],
-        "message": [
-          "create state-elvel file for Medicare"
-        ]
-      },
-      "source": [],
-      "data_format": "tall",
-      "ids": [
-        {
-          "variable": "geography"
-        }
-      ],
-      "id_length": 0,
-      "time": "time",
-      "profile": "data-resource",
-      "created": "2026-07-21 19:03:08.094107",
-      "last_modified": "2026-07-21 19:03:08.094107",
-      "vintage": {},
-      "row_count": 9848,
-      "entity_count": 3298,
-      "schema": {
-        "fields": [
-          {
-            "name": "year",
-            "duplicates": 9845,
-            "info": {
-              "short_name": "Year",
-              "short_description": "Calendar year of the estimate.",
-              "id": "year"
-            },
-            "time_range": [-1, -1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 2022.002234,
-            "sd": 0.817074,
-            "min": 2021,
-            "max": 2023
-          },
-          {
-            "name": "geography",
-            "duplicates": 6550,
-            "info": {
-              "short_name": "Geography",
-              "short_description": "County FIPS code or state/county name.",
-              "id": "geography"
-            },
-            "time_range": [-1, -1],
-            "type": "string",
-            "missing": 0,
-            "table": {
-              "00": 3,
-              "01": 3,
-              "01001": 3,
-              "01003": 3,
-              "01005": 3,
-              "01007": 3,
-              "01009": 3,
-              "01011": 3,
-              "01013": 3,
-              "01015": 3,
-              "01017": 3,
-              "01019": 3,
-              "01021": 3,
-              "01023": 3,
-              "01025": 3,
-              "01027": 3,
-              "01029": 3,
-              "01031": 3,
-              "01033": 3,
-              "01035": 3,
-              "01037": 3,
-              "01039": 3,
-              "01041": 3,
-              "01043": 3,
-              "01045": 3,
-              "01047": 3,
-              "01049": 3,
-              "01051": 3,
-              "01053": 3,
-              "01055": 3,
-              "01057": 3,
-              "01059": 3,
-              "01061": 3,
-              "01063": 3,
-              "01065": 3,
-              "01067": 3,
-              "01069": 3,
-              "01071": 3,
-              "01073": 3,
-              "01075": 3,
-              "01077": 3,
-              "01079": 3,
-              "01081": 3,
-              "01083": 3,
-              "01085": 3,
-              "01087": 3,
-              "01089": 3,
-              "01091": 3,
-              "01093": 3,
-              "01095": 3,
-              "01097": 3,
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-          "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
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-          "Sun Oct 26 00:07:32 2025 -0400",
-          "Thu Oct 9 08:37:58 2025 +0000",
-          "Tue Oct 7 21:23:07 2025 -0400",
-          "Wed Sep 3 02:10:37 2025 +0000",
-          "Fri Aug 29 11:39:20 2025 -0400",
-          "Thu Aug 28 03:37:44 2025 +0000",
-          "Wed Aug 27 22:50:21 2025 -0400",
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-          "Wed Aug 20 18:31:46 2025 +0000",
-          "Wed Aug 20 13:35:52 2025 -0400",
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               "short_description": "U.S. state or territory name; 'United States' = national.",
               "id": "geography"
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               "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
               "id": "fips"
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@@ -11561,7 +4634,10 @@
               "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
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@@ -11583,7 +4659,10 @@
               "short_description": "Calendar year of the estimate.",
               "id": "year"
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@@ -11606,7 +4685,10 @@
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@@ -11635,7 +4717,10 @@
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@@ -11663,7 +4748,10 @@
               "long_description": "State-level prevalence estimates for diabetes and obesity from Epic Cosmos electronic health records. The source column identifies the clinical definition: 'Epic Cosmos: HbA1c' uses HbA1c >=6.5% for diabetes; 'Epic Cosmos: ICD10' uses CCW ICD-10 diagnosis codes for both conditions; 'Epic Cosmos: BMI' uses measured BMI >=30 for obesity. Values represent the percentage of active Epic patients meeting the specified criterion.",
               "id": "value"
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@@ -11689,7 +4777,10 @@
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@@ -11715,7 +4806,10 @@
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         ],
         "author": [
-          "GitHub Actions <actions@github.com>",
           "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
           "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
           "Weinberger <daniel.weinberger@yale.edu>",
           "GitHub Actions <actions@github.com>",
           "Weinberger <daniel.weinberger@yale.edu>",
           "Weinberger <daniel.weinberger@yale.edu>",
           "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
           "Weinberger <daniel.weinberger@yale.edu>",
           "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
           "weinbergerlab <dweinber@gmail.com>"
         ],
         "date": [
-          "Thu Nov 6 08:40:04 2025 +0000",
+          "Wed Nov 5 22:48:32 2025 -0500",
           "Wed Nov 5 21:28:47 2025 -0500",
-          "Mon Nov 3 11:09:24 2025 -0500",
-          "Mon Oct 27 21:00:17 2025 +0000",
-          "Mon Oct 27 11:01:22 2025 -0400",
-          "Mon Oct 27 01:13:15 2025 +0000",
           "Sun Oct 26 00:07:32 2025 -0400",
-          "Mon Oct 13 08:41:59 2025 +0000",
+          "Thu Oct 23 21:17:39 2025 +0000",
           "Thu Oct 9 15:50:06 2025 -0400",
           "Thu Oct 9 15:48:43 2025 -0400",
           "Thu Oct 9 14:56:28 2025 -0400",
-          "Thu Oct 9 08:37:58 2025 +0000",
           "Tue Oct 7 21:20:51 2025 -0400",
-          "Tue Oct 7 16:59:41 2025 -0400",
           "Wed Sep 24 14:46:49 2025 +0000",
-          "Mon Sep 22 11:54:51 2025 -0400",
-          "Wed Sep 3 03:09:46 2025 +0000",
-          "Wed Sep 3 02:10:37 2025 +0000",
-          "Fri Aug 29 11:39:20 2025 -0400",
-          "Thu Aug 28 03:37:44 2025 +0000",
-          "Wed Aug 27 22:50:21 2025 -0400",
-          "Thu Aug 21 03:17:57 2025 +0000",
-          "Wed Aug 20 22:32:02 2025 -0400",
-          "Wed Aug 20 18:31:46 2025 +0000",
-          "Wed Aug 20 13:35:52 2025 -0400",
-          "Tue Aug 19 23:05:36 2025 -0400",
-          "Tue Aug 19 07:42:18 2025 -0400",
-          "Thu Aug 14 21:53:26 2025 -0400",
-          "Mon Aug 11 23:08:11 2025 -0400",
-          "Mon Aug 11 15:16:22 2025 -0400",
-          "Mon Aug 11 14:19:10 2025 -0400",
-          "Fri Aug 8 23:00:16 2025 -0400"
+          "Mon Sep 22 11:54:51 2025 -0400"
         ],
         "message": [
-          "scheduled data build",
+          "swap in the data for BRFSS calculated from raw data",
           "rerun brfss",
-          "resolve diffs",
-          "scheduled data build",
-          "fix json for NCHS",
-          "scheduled data build",
-          "chronic bundle files fix",
+          "chronic bundle files fix",
           "scheduled data build",
           "update bundle",
           "update brfss",
           "restrict output file to US states, DC",
-          "scheduled data build",
           "update formatting on bundle",
-          "update brfss data",
-          "scheduled data build",
-          "output csv",
           "scheduled data build",
-          "scheduled data build",
-          "run bundle",
-          "scheduled data build",
-          "bundle",
-          "scheduled data build",
-          "udpates build with some additional JSOn meta data",
-          "scheduled data build",
-          "manual re-run",
-          "successful build of data and update lock file",
-          "mostly updated data. Some epic endpoints failing on virus pipeline",
-          "run the build on full pipeline",
-          "clean up the age groupings for comparisons of obesity and diabetes in BRFSS and Cosmos",
-          "fix extension of files; rerun epic",
-          "adds county level epic data for cosmos diabetes/obesity",
-          "rebuild database"
+          "output csv"
         ]
       },
       "source": [],
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+          "GitHub Actions <actions@github.com>",
+          "weinbergerlab <dweinber@gmail.com>",
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+          "weinbergerlab <dweinber@gmail.com>",
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+          "weinbergerlab <dweinber@gmail.com>",
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+          "weinbergerlab <dweinber@gmail.com>",
+          "GitHub Actions <actions@github.com>",
+          "weinbergerlab <dweinber@gmail.com>",
+          "weinbergerlab <dweinber@gmail.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "weinbergerlab <dweinber@gmail.com>",
+          "GitHub Actions <actions@github.com>",
+          "Weinberger <daniel.weinberger@yale.edu>",
+          "Weinberger <daniel.weinberger@yale.edu>",
+          "Weinberger <daniel.weinberger@yale.edu>",
+          "Weinberger <daniel.weinberger@yale.edu>",
+          "Weinberger <daniel.weinberger@yale.edu>"
+        ],
+        "date": [
+          "Fri Jun 26 19:42:13 2026 +0000",
+          "Wed Jun 24 16:37:53 2026 -0400",
+          "Wed Jun 24 13:57:52 2026 -0400",
+          "Wed Jun 24 12:49:30 2026 -0400",
+          "Fri Jun 19 20:16:40 2026 +0000",
+          "Tue Jun 9 20:07:17 2026 +0000",
+          "Tue Jun 9 12:07:10 2026 -0400",
+          "Mon Apr 6 14:00:48 2026 +0000",
+          "Sun Apr 5 21:44:32 2026 -0400",
+          "Fri Apr 3 14:11:23 2026 -0400",
+          "Wed Apr 1 02:45:45 2026 +0000",
+          "Fri Mar 13 15:04:44 2026 +0000",
+          "Wed Mar 11 11:41:55 2026 -0400",
+          "Tue Mar 3 00:46:06 2026 +0000",
+          "Mon Mar 2 14:50:39 2026 -0500",
+          "Thu Feb 19 10:27:03 2026 -0500",
+          "Tue Feb 3 16:02:56 2026 -0500",
+          "Thu Dec 4 08:41:27 2025 +0000",
+          "Wed Dec 3 12:02:06 2025 -0500",
+          "Wed Dec 3 02:50:59 2025 +0000",
+          "Mon Dec 1 17:33:39 2025 -0500",
+          "Mon Dec 1 17:19:31 2025 -0500",
+          "Mon Dec 1 21:47:35 2025 +0000",
+          "Fri Nov 21 16:27:30 2025 +0000",
+          "Thu Nov 20 08:39:32 2025 +0000",
+          "Wed Nov 19 06:06:04 2025 +0000",
+          "Thu Nov 13 11:56:54 2025 -0500",
+          "Thu Nov 13 08:39:25 2025 +0000",
+          "Wed Nov 12 16:45:19 2025 -0500",
+          "Wed Nov 12 14:47:03 2025 -0500",
+          "Tue Nov 11 23:09:34 2025 -0500",
+          "Tue Nov 11 22:59:06 2025 -0500",
+          "Tue Nov 11 22:49:35 2025 -0500"
+        ],
+        "message": [
+          "scheduled data build",
+          "rerun bundle",
+          "rerun bundle",
+          "corrected age",
+          "scheduled data build",
+          "scheduled data build",
+          "Add CDC CFA RT (respiratory tract) data source",
+          "scheduled data build",
+          "update bundle to check that all run OK; update medicaid quality package to only download new datasets",
+          "partial update bundle",
+          "scheduled data build",
+          "scheduled data build",
+          "Squashed commit of the following:",
+          "scheduled data build",
+          "numerous fixes, address new api schema for respnet, remove unnedded call to missing epic heat file; rerun bundle",
+          "remove missing epic file from the bundle script",
+          "re-run build_dcf",
+          "scheduled data build",
+          "rerun chronic bundle with updated epic data",
+          "scheduled data build",
+          "fix chronic bundle for counties",
+          "rerun with fixed county data from Epic",
+          "scheduled data build",
+          "scheduled data build",
+          "scheduled data build",
+          "scheduled data build",
+          "add in obesity by state",
+          "scheduled data build",
+          "add missing national data from epic standard file",
+          "update bundle files",
+          "fix issue with epic import",
+          "updated out file",
+          "chronic"
+        ]
+      },
+      "source": [],
+      "data_format": "tall",
+      "ids": [
+        {
+          "variable": "geography"
+        }
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+      "time": "time",
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-      "created": "2026-07-21 19:03:08.115107",
-      "last_modified": "2026-07-21 19:03:08.115107",
+      "created": "2026-07-21 19:14:23.905505",
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-      "entity_count": 1876,
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-              "short_description": "Observation date in YYYY-MM-DD format.",
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             }
           },
           {
-            "name": "source",
-            "duplicates": 188835,
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             },
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           },
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             "info": {
-              "short_name": "Overdose measure (county)",
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-        ],
-        "message": [
-          "create state-elvel file for Medicare"
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-              "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-              "id": "fips"
+              "levels": {
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+                  "id": "Diabetes",
+                  "short_name": "Diabetes",
+                  "long_name": "Diabetes Prevalence",
+                  "category": "chronic_disease",
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+                  "long_description": "Estimated prevalence of diabetes among adults, from BRFSS (self-reported diagnosis), Epic Cosmos (HbA1c >=6.5% or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+                  "measure_type": "Percent",
+                  "unit": "%",
+                  "time_resolution": "Year",
+                  "sources": [
+                    {
+                      "id": "brfss"
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+                  "category": "chronic_disease",
+                  "short_description": "Estimated prevalence of obesity (BMI >=30) among adults.",
+                  "long_description": "Estimated prevalence of obesity among adults, from BRFSS (self-reported height/weight, BMI >=30), Epic Cosmos (measured BMI >=30 or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+                  "measure_type": "Percent",
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+                      "id": "brfss"
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             "table": {
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             }
           },
           {
-            "name": "date",
-            "duplicates": 29299,
+            "name": "source",
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             "info": {
-              "short_name": "Date",
-              "short_description": "Observation date in YYYY-MM-DD format.",
-              "id": "date"
+              "short_name": "Data source / clinical definition",
+              "levels": {
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+                  "id": "CDC BRFSS",
+                  "name": "prev_diabetes_survey",
+                  "duplicates": 149,
+                  "info": {
+                    "id": "prev_diabetes_survey",
+                    "short_name": "Diabetes Prevalence (Survey)",
+                    "long_name": "Diabetes Prevalence from BRFSS Survey",
+                    "short_description": "Estimated diabetes prevalence from BRFSS survey data.",
+                    "measure_type": "percent",
+                    "unit": "percent",
+                    "time_resolution": "year",
+                    "sources": [
+                      {
+                        "id": "brfss"
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+                    ],
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+                      "data_dir": "/data/brfss/standard",
+                      "file": "data_survey.csv.gz"
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+                  "time_range": [
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+                    7
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+                  "type": "float",
+                  "missing": 0,
+                  "mean": 10.662075,
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+                  "min": 0,
+                  "max": 100
+                },
+                "Epic Cosmos: BMI": {
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+                  "id": "Epic Cosmos: BMI"
+                },
+                "Epic Cosmos: HbA1c": {
+                  "source_id": "diabetes_a1c_6_5",
+                  "id": "Epic Cosmos: HbA1c"
+                },
+                "Epic Cosmos: ICD10": {
+                  "source_id": "diabetes_dx_ccw",
+                  "id": "Epic Cosmos: ICD10"
+                },
+                "Medicare FFS": {
+                  "source_id": "cms_diabetes",
+                  "id": "Medicare FFS",
+                  "name": "cms_diabetes",
+                  "duplicates": 58592,
+                  "info": {
+                    "full_name": "cms_diabetes",
+                    "measure": "cms_diabetes",
+                    "short_name": "CMS: Diabetes",
+                    "long_name": "Prevalence among Medicare Fee for Service patients of Diabetes",
+                    "category": "chronic conditions",
+                    "short_description": "Prevalence among Medicare Fee for Service patients of Diabetes.",
+                    "long_description": "Prevalence among Medicare Fee for Service patients of Diabetes. Prevalence rates are calculated by searching for certain diagnosis codes in Medicare beneficiaries’ claims. A beneficiary is considered to have a condition if the CMS administrative data has a claim indicating that the beneficiary is diagnosed for a specific condition over the reference time period (one, two, or three years, depending on the condition chosen) or, in the case of ESRD and disability, if the reason for entitlement (original or current) is listed as disabled or ESRD in the MBSF. The definitions used are the FFS definitions, based on ICD10 codes: https://www2.ccwdata.org/documents/10280/19139421/chr-chronic-condition-algorithms.pdf",
+                    "statement": "The viral activity level of Diabetes in wastewater is {value}.",
+                    "measure_type": "prevalence",
+                    "unit": "percentage",
+                    "time_resolution": "year",
+                    "sources": [
+                      {
+                        "name": "Center of Medicare and Medicaid Services (CMS)",
+                        "url": "https://data.cdc.gov",
+                        "location": "Mapping Medicare Disparities by Population Tool",
+                        "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
+                        "date_accessed": 2025
+                      }
+                    ],
+                    "sources.1": [
+                      {
+                        "name": "Center of Medicare and Medicaid Services (CMS)",
+                        "url": "https://data.cdc.gov",
+                        "location": "Mapping Medicare Disparities by Population Tool",
+                        "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
+                        "date_accessed": 2025
+                      }
+                    ],
+                    "id": "cms_diabetes",
+                    "source_file": {
+                      "project": "cms_mmd",
+                      "data_dir": "/data/cms_mmd/standard",
+                      "file": "data_state_county_age.csv.gz"
+                    }
+                  },
+                  "time_range": [
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+                    2
+                  ],
+                  "type": "integer",
+                  "missing": 24,
+                  "mean": 26.589188,
+                  "sd": 6.276079,
+                  "min": 0,
+                  "max": 78
+                }
+              },
+              "id": "source"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
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-              "2014-01-01": 286,
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-              "2014-11-01": 52,
-              "2014-12-01": 52,
-              "2015-01-01": 341,
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-              "2023-01-07": 312,
-              "2023-02-01": 416,
-              "2023-03-01": 416,
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-              "2023-05-01": 416,
-              "2023-06-01": 416,
-              "2023-07-01": 416,
-              "2023-08-01": 416,
-              "2023-09-01": 416,
-              "2023-10-01": 104,
-              "2023-10-07": 312,
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-              "2023-12-01": 416,
-              "2024-01-01": 673,
-              "2024-02-01": 416,
-              "2024-03-01": 416,
-              "2024-04-01": 416,
-              "2024-05-01": 416,
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-              "2024-07-01": 416,
-              "2024-08-01": 416,
-              "2024-09-01": 104,
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-              "2025-01-01": 415,
-              "2025-02-01": 415,
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-              "2025-05-01": 364,
-              "2025-06-01": 52,
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+              "CDC BRFSS": 4956,
+              "Epic Cosmos: BMI": 4080,
+              "Epic Cosmos: HbA1c": 4080,
+              "Epic Cosmos: ICD10": 8160,
+              "Medicare FFS": 1836
             }
           },
           {
             "name": "value",
-            "duplicates": 7938,
+            "duplicates": 13574,
             "info": {
-              "short_name": "Overdose measure",
-              "long_name": "Overdose Measure by Geography and Source",
-              "category": "injury",
-              "short_description": "Drug overdose measure (deaths or scaled indicator) by source (stale/foreign output).",
-              "measure_type": "Rate",
-              "unit": "Rate",
-              "time_resolution": "Month",
+              "short_name": "Chronic disease prevalence",
+              "long_name": "Chronic Disease Prevalence by Geography, Year, and Source",
+              "category": "chronic_disease",
+              "short_description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
+              "measure_type": "Percent",
+              "unit": "%",
+              "time_resolution": "Year",
               "sources": [
+                {
+                  "id": "brfss"
+                },
+                {
+                  "id": "epic"
+                },
                 {
                   "id": "cms_mmd"
                 }
               ],
+              "long_description": "Combined state-level prevalence estimates for diabetes and obesity from CDC BRFSS (telephone survey), Epic Cosmos EHR (HbA1c, ICD-10, and BMI-based definitions), and Medicare Fee-for-Service administrative claims. The outcome_name column identifies the condition (Diabetes or Obesity); the source column identifies the data source and clinical definition. These sources are not directly comparable due to differences in population covered (all adults vs. Epic patients vs. Medicare beneficiaries >=65), case definitions, and ascertainment methodology.",
               "id": "value"
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "float",
             "missing": 0,
-            "mean": 26.848223,
-            "sd": 48.515091,
+            "mean": 18.037327,
+            "sd": 13.713399,
             "min": 0,
-            "max": 550.146881
+            "max": 60.25
           },
           {
-            "name": "nchs_n_deaths_overdose",
-            "duplicates": 26501,
+            "name": "pct_captured",
+            "duplicates": 19034,
             "info": {
-              "short_name": "NCHS overdose deaths",
-              "long_name": "NCHS Number of Overdose Deaths",
-              "category": "injury",
-              "short_description": "Number of drug overdose deaths reported by CDC/NCHS.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "time_resolution": "Month",
+              "short_name": "Epic population capture (%)",
+              "long_name": "Percentage of 2021 Population Captured in Epic Cosmos",
+              "category": "chronic_disease",
+              "short_description": "For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.",
+              "measure_type": "Percent",
+              "unit": "%",
+              "time_resolution": "Year",
               "sources": [
                 {
-                  "id": "cms_mmd"
+                  "id": "epic"
                 }
               ],
-              "id": "nchs_n_deaths_overdose"
+              "id": "pct_captured"
             },
-            "time_range": [-1, -1],
-            "type": "integer",
-            "missing": 23075,
-            "mean": 1575.559211,
-            "sd": 1735.957563,
-            "min": 55,
-            "max": 12593
+            "time_range": [
+              -1,
+              -1
+            ],
+            "type": "float",
+            "missing": 6792,
+            "mean": 31.941675,
+            "sd": 16.685631,
+            "min": 0.850964,
+            "max": 101.020322
           },
           {
-            "name": "suppressed",
-            "duplicates": 29456,
+            "name": "sample_size",
+            "duplicates": 17542,
             "info": {
-              "short_name": "Suppressed flag",
-              "short_description": "1 if the value was suppressed (small count), 0 otherwise.",
-              "measure_type": "Binary",
-              "unit": "0/1",
-              "time_resolution": "Month",
+              "short_name": "Sample size",
+              "long_name": "Sample Size for Prevalence Estimate",
+              "category": "chronic_disease",
+              "short_description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.",
+              "long_description": "Sample size underlying the prevalence estimate. Interpretation varies by source: for BRFSS, this is the number of survey respondents; for Epic Cosmos, this is the number of active patients (values <=10 are reported as '10 or fewer'); for Medicare FFS, this is the number of beneficiaries with a Medicare claim.",
+              "measure_type": "Count",
+              "unit": "Count",
+              "time_resolution": "Year",
               "sources": [
                 {
-                  "id": "cms_mmd"
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-              "id": "suppressed"
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-            "time_range": [-1, -1],
-            "type": "integer",
-            "missing": 19103,
-            "mean": 0.599266,
-            "sd": 0.490071,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "source",
-            "duplicates": 29455,
-            "info": {
-              "short_name": "Data source",
-              "short_description": "Data source for the overdose measure.",
-              "levels": {
-                "CDC/NCHS": {
-                  "id": "CDC/NCHS"
-                },
-                "CDC/WISQARS": {
-                  "id": "CDC/WISQARS"
-                },
-                "Epic Cosmos": {
-                  "id": "Epic Cosmos"
+                  "id": "brfss"
                 },
-                "Google Health Trends": {
-                  "id": "Google Health Trends"
-                }
-              },
-              "id": "source"
-            },
-            "time_range": [-1, -1],
-            "type": "string",
-            "missing": 0,
-            "table": {
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-              "CDC/WISQARS": 5343,
-              "Epic Cosmos": 10296,
-              "Google Health Trends": 7436
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-          },
-          {
-            "name": "age",
-            "duplicates": 29453,
-            "info": {
-              "short_name": "Age group",
-              "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "id": "age"
-            },
-            "time_range": [-1, -1],
-            "type": "string",
-            "missing": 0,
-            "table": {
-              "<15 Years": 1751,
-              "15-24 Years": 2690,
-              "25-44 Years": 2890,
-              "45-64 Years": 2869,
-              "65+ Years": 2535,
-              "Total": 16724
-            }
-          },
-          {
-            "name": "time_end",
-            "duplicates": 29435,
-            "info": {
-              "short_name": "Period end date",
-              "short_description": "End date of the observation period (YYYY-MM-DD).",
-              "id": "time_end"
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-            "time_range": [-1, -1],
-            "type": "string",
-            "missing": 24116,
-            "table": {
-              "2002-01-01": 192,
-              "2003-01-01": 205,
-              "2004-01-01": 209,
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-              "2006-01-01": 214,
-              "2007-01-01": 222,
-              "2008-01-01": 227,
-              "2009-01-01": 226,
-              "2010-01-01": 230,
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-              "2012-01-01": 233,
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-              "2019-01-01": 243,
-              "2020-01-01": 245,
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-              "2023-01-01": 259,
-              "2024-01-01": 257
-            }
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-            "name": "geography",
-            "duplicates": 29407,
-            "info": {
-              "short_name": "Geography",
-              "short_description": "U.S. state or territory name; 'United States' = national.",
-              "id": "geography"
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-            "time_range": [-1, -1],
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-            "missing": 0,
-            "table": {
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-              "Alaska": 552,
-              "Arizona": 580,
-              "Arkansas": 571,
-              "California": 584,
-              "Colorado": 579,
-              "Connecticut": 573,
-              "Delaware": 553,
-              "District of Columbia": 604,
-              "Florida": 582,
-              "Georgia": 581,
-              "Hawaii": 543,
-              "Idaho": 560,
-              "Illinois": 580,
-              "Indiana": 577,
-              "Iowa": 560,
-              "Kansas": 566,
-              "Kentucky": 579,
-              "Louisiana": 579,
-              "Maine": 558,
-              "Maryland": 562,
-              "Massachusetts": 574,
-              "Michigan": 580,
-              "Minnesota": 570,
-              "Mississippi": 574,
-              "Missouri": 580,
-              "Montana": 540,
-              "Nebraska": 543,
-              "Nevada": 575,
-              "New Hampshire": 558,
-              "New Jersey": 580,
-              "New Mexico": 575,
-              "New York": 580,
-              "North Carolina": 581,
-              "North Dakota": 512,
-              "Ohio": 580,
-              "Oklahoma": 578,
-              "Oregon": 573,
-              "Pennsylvania": 580,
-              "Rhode Island": 546,
-              "South Carolina": 578,
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-              "Tennessee": 580,
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-              "United States": 479,
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-              "Vermont": 537,
-              "Virginia": 580,
-              "Washington": 578,
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-              "short_description": "Overdose measure min-max scaled to 0-100 for cross-source visualization.",
-              "measure_type": "Percent",
-              "unit": "0-100",
-              "time_resolution": "Month",
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-      "encoding": "IBM420_ltr",
-      "md5": "89dab4953026a2eb51d9ac81e37c8fee",
-      "format": "parquet",
-      "name": "overdose_deaths_county",
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-      "versions": {
-        "hash": [
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-          "98ed119cb2e4a4c3ebcf759fdf5f1ecc0532bfe4",
-          "c335e4c15c0f9b989ee89c2c30a116a04b67fe18"
-        ],
-        "author": [
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>"
-        ],
-        "date": [
-          "Tue Nov 4 22:35:50 2025 -0500",
-          "Thu Sep 25 12:07:42 2025 -0400",
-          "Thu Sep 25 14:56:00 2025 +0000"
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-        "message": [
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-          "Weinberger <daniel.weinberger@yale.edu>",
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-          "weinbergerlab <dweinber@gmail.com>",
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-          "weinbergerlab <dweinber@gmail.com>",
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-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>",
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-          "Weinberger <daniel.weinberger@yale.edu>",
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-          "weinbergerlab <dweinber@gmail.com>",
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-          "weinbergerlab <dweinber@gmail.com>",
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-          "Weinberger <daniel.weinberger@yale.edu>",
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-          "Wed Nov 5 22:48:32 2025 -0500",
-          "Wed Nov 5 21:28:47 2025 -0500",
-          "Mon Nov 3 11:09:24 2025 -0500",
-          "Mon Oct 27 01:13:15 2025 +0000",
-          "Sun Oct 26 00:07:32 2025 -0400",
-          "Thu Oct 23 21:17:39 2025 +0000",
-          "Mon Oct 13 08:41:59 2025 +0000",
-          "Thu Oct 9 15:50:06 2025 -0400",
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-          "Tue Oct 7 21:20:51 2025 -0400",
-          "Tue Oct 7 16:59:41 2025 -0400",
-          "Wed Sep 24 14:46:49 2025 +0000",
-          "Mon Sep 22 11:54:51 2025 -0400",
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-          "Fri Aug 29 11:39:20 2025 -0400",
-          "Thu Aug 28 03:37:44 2025 +0000",
-          "Wed Aug 27 23:24:37 2025 -0400",
-          "Wed Aug 27 22:50:21 2025 -0400",
-          "Thu Aug 21 03:17:57 2025 +0000",
-          "Wed Aug 20 22:32:02 2025 -0400",
-          "Wed Aug 20 18:31:46 2025 +0000",
-          "Wed Aug 20 13:35:52 2025 -0400",
-          "Tue Aug 19 23:05:36 2025 -0400",
-          "Tue Aug 19 07:42:18 2025 -0400",
-          "Thu Aug 14 21:53:26 2025 -0400",
-          "Tue Aug 12 21:52:18 2025 -0400",
-          "Mon Aug 11 23:08:11 2025 -0400",
-          "Mon Aug 11 15:16:22 2025 -0400"
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-          "swap in the data for BRFSS calculated from raw data",
-          "rerun brfss",
-          "resolve diffs",
-          "scheduled data build",
-          "chronic bundle files fix",
-          "scheduled data build",
-          "scheduled data build",
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-          "update brfss",
-          "restrict output file to US states, DC",
-          "scheduled data build",
-          "update formatting on bundle",
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-          "successful build of data and update lock file",
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-          "run the build on full pipeline",
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-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "danweinberger <daniel.weinberger@yale.edu>",
-          "anshap32 <73296024+anshap32@users.noreply.github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "danweinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "danweinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>"
-        ],
-        "date": [
-          "Fri Jun 26 19:42:13 2026 +0000",
-          "Wed Jun 24 16:37:53 2026 -0400",
-          "Wed Jun 24 13:57:52 2026 -0400",
-          "Wed Jun 24 12:49:30 2026 -0400",
-          "Fri Jun 19 20:16:40 2026 +0000",
-          "Tue Jun 9 20:07:17 2026 +0000",
-          "Tue Jun 9 12:07:10 2026 -0400",
-          "Mon Apr 6 14:00:48 2026 +0000",
-          "Sun Apr 5 21:44:32 2026 -0400",
-          "Fri Apr 3 14:11:23 2026 -0400",
-          "Wed Apr 1 02:45:45 2026 +0000",
-          "Fri Mar 13 15:04:44 2026 +0000",
-          "Wed Mar 11 11:41:55 2026 -0400",
-          "Tue Mar 3 00:46:06 2026 +0000",
-          "Mon Mar 2 14:50:39 2026 -0500",
-          "Thu Feb 19 10:27:03 2026 -0500",
-          "Tue Feb 3 16:02:56 2026 -0500",
-          "Thu Dec 4 08:41:27 2025 +0000",
-          "Wed Dec 3 12:02:06 2025 -0500",
-          "Wed Dec 3 02:50:59 2025 +0000",
-          "Mon Dec 1 17:33:39 2025 -0500",
-          "Mon Dec 1 17:19:31 2025 -0500",
-          "Mon Dec 1 21:47:35 2025 +0000",
-          "Fri Nov 21 16:27:30 2025 +0000",
-          "Thu Nov 20 08:39:32 2025 +0000",
-          "Wed Nov 19 06:06:04 2025 +0000",
-          "Thu Nov 13 11:56:54 2025 -0500",
-          "Thu Nov 13 08:39:25 2025 +0000",
-          "Wed Nov 12 16:45:19 2025 -0500",
-          "Wed Nov 12 14:47:03 2025 -0500",
-          "Tue Nov 11 23:09:34 2025 -0500",
-          "Tue Nov 11 22:59:06 2025 -0500",
-          "Tue Nov 11 22:49:35 2025 -0500"
-        ],
-        "message": [
-          "scheduled data build",
-          "rerun bundle",
-          "rerun bundle",
-          "corrected age",
-          "scheduled data build",
-          "scheduled data build",
-          "Add CDC CFA RT (respiratory tract) data source",
-          "scheduled data build",
-          "update bundle to check that all run OK; update medicaid quality package to only download new datasets",
-          "partial update bundle",
-          "scheduled data build",
-          "scheduled data build",
-          "Squashed commit of the following:",
-          "scheduled data build",
-          "numerous fixes, address new api schema for respnet, remove unnedded call to missing epic heat file; rerun bundle",
-          "remove missing epic file from the bundle script",
-          "re-run build_dcf",
-          "scheduled data build",
-          "rerun chronic bundle with updated epic data",
-          "scheduled data build",
-          "fix chronic bundle for counties",
-          "rerun with fixed county data from Epic",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "add in obesity by state",
-          "scheduled data build",
-          "add missing national data from epic standard file",
-          "update bundle files",
-          "fix issue with epic import",
-          "updated out file",
-          "chronic"
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-              "Pennsylvania": 440,
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-              "Total": 3054
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-                    "category": "chronic conditions",
-                    "short_description": "Prevalence among Medicare Fee for Service patients of Diabetes.",
-                    "long_description": "Prevalence among Medicare Fee for Service patients of Diabetes. Prevalence rates are calculated by searching for certain diagnosis codes in Medicare beneficiaries’ claims. A beneficiary is considered to have a condition if the CMS administrative data has a claim indicating that the beneficiary is diagnosed for a specific condition over the reference time period (one, two, or three years, depending on the condition chosen) or, in the case of ESRD and disability, if the reason for entitlement (original or current) is listed as disabled or ESRD in the MBSF. The definitions used are the FFS definitions, based on ICD10 codes: https://www2.ccwdata.org/documents/10280/19139421/chr-chronic-condition-algorithms.pdf",
-                    "statement": "The viral activity level of Diabetes in wastewater is {value}.",
-                    "measure_type": "prevalence",
-                    "unit": "percentage",
-                    "time_resolution": "year",
-                    "sources": [
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-                        "name": "Center of Medicare and Medicaid Services (CMS)",
-                        "url": "https://data.cdc.gov",
-                        "location": "Mapping Medicare Disparities by Population Tool",
-                        "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
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-              "Epic Cosmos: ICD10": 8160,
-              "Medicare FFS": 1836
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-              "short_description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
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-              "long_description": "Combined state-level prevalence estimates for diabetes and obesity from CDC BRFSS (telephone survey), Epic Cosmos EHR (HbA1c, ICD-10, and BMI-based definitions), and Medicare Fee-for-Service administrative claims. The outcome_name column identifies the condition (Diabetes or Obesity); the source column identifies the data source and clinical definition. These sources are not directly comparable due to differences in population covered (all adults vs. Epic patients vs. Medicare beneficiaries >=65), case definitions, and ascertainment methodology.",
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-        "author": [
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>"
-        ],
-        "date": [
-          "Thu Nov 6 08:40:04 2025 +0000",
-          "Wed Nov 5 22:48:32 2025 -0500",
-          "Wed Nov 5 21:28:47 2025 -0500",
-          "Mon Nov 3 11:09:24 2025 -0500",
-          "Mon Oct 27 01:13:15 2025 +0000",
-          "Sun Oct 26 00:07:32 2025 -0400",
-          "Thu Oct 23 21:17:39 2025 +0000",
-          "Thu Oct 9 08:37:58 2025 +0000",
-          "Tue Oct 7 21:20:51 2025 -0400",
-          "Mon Sep 22 08:41:02 2025 +0000",
-          "Wed Sep 3 02:10:37 2025 +0000",
-          "Fri Aug 29 11:39:20 2025 -0400",
-          "Thu Aug 28 09:42:10 2025 -0400"
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-        "message": [
-          "scheduled data build",
-          "swap in the data for BRFSS calculated from raw data",
-          "rerun brfss",
-          "resolve diffs",
-          "scheduled data build",
-          "chronic bundle files fix",
-          "scheduled data build",
-          "scheduled data build",
-          "update formatting on bundle",
-          "scheduled data build",
-          "scheduled data build",
-          "run bundle",
-          "add year-stratified comparison of cms and brfss"
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-              "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
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-              "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
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-            "time_range": [-1, -1],
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-              "Mississippi": 16,
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-          "type": "float",
-          "missing": 0,
-          "mean": 10.662075,
-          "sd": 9.28104,
-          "min": 0,
-          "max": 100
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value": {
-      "short_name": "Chronic disease prevalence (BRFSS)",
-      "long_name": "BRFSS Chronic Disease Prevalence Estimate",
-      "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity from BRFSS telephone survey, by state and year.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "long_description": "Age-stratified state-level prevalence estimates for diabetes and obesity from the CDC Behavioral Risk Factor Surveillance System (BRFSS). Diabetes prevalence is based on self-reported ever-diagnosis; obesity is based on calculated BMI >=30 from self-reported height and weight. The outcome_name column identifies the condition. Includes 95% confidence intervals (value_lcl, value_ucl) and survey sample size.",
-      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_lcl": {
-      "short_name": "Prevalence lower 95% CI (BRFSS)",
-      "long_name": "Lower 95% Confidence Interval for BRFSS Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Lower bound of the 95% confidence interval for BRFSS chronic disease prevalence.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_lcl"
-    },
-    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_ucl": {
-      "short_name": "Prevalence upper 95% CI (BRFSS)",
-      "long_name": "Upper 95% Confidence Interval for BRFSS Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Upper bound of the 95% confidence interval for BRFSS chronic disease prevalence.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_ucl"
-    },
-    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|sample_size": {
-      "short_name": "Sample size (BRFSS)",
-      "long_name": "BRFSS Survey Sample Size",
-      "category": "chronic_disease",
-      "short_description": "Number of BRFSS survey respondents used to estimate chronic disease prevalence.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|sample_size"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|fips": {
-      "short_name": "FIPS code",
-      "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|fips"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|year": {
-      "short_name": "Year",
-      "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|year"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|outcome_name": {
-      "short_name": "Chronic condition",
-      "levels": {
-        "Diabetes": {
-          "id": "Diabetes"
-        },
-        "Obesity": {
-          "id": "Obesity"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|outcome_name"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|source": {
-      "short_name": "Data source / clinical definition",
-      "levels": {
-        "Epic Cosmos: BMI": {
-          "source_id": "obesity_bmi",
-          "id": "Epic Cosmos: BMI"
-        },
-        "Epic Cosmos: HbA1c": {
-          "source_id": "diabetes_a1c_6_5",
-          "id": "Epic Cosmos: HbA1c"
-        },
-        "Epic Cosmos: ICD10": {
-          "source_id": "diabetes_dx_ccw",
-          "id": "Epic Cosmos: ICD10"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|value": {
-      "short_name": "Chronic disease prevalence (Epic, state)",
-      "long_name": "Epic Cosmos State-Level Chronic Disease Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR, by state and year.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        }
-      ],
-      "long_description": "State-level prevalence estimates for diabetes and obesity from Epic Cosmos electronic health records. The source column identifies the clinical definition: 'Epic Cosmos: HbA1c' uses HbA1c >=6.5% for diabetes; 'Epic Cosmos: ICD10' uses CCW ICD-10 diagnosis codes for both conditions; 'Epic Cosmos: BMI' uses measured BMI >=30 for obesity. Values represent the percentage of active Epic patients meeting the specified criterion.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|pct_captured": {
-      "short_name": "Epic population capture (%)",
-      "long_name": "Percentage of 2021 State Population Captured in Epic Cosmos",
-      "category": "chronic_disease",
-      "short_description": "Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|pct_captured"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|sample_size": {
-      "short_name": "Epic patient count (state)",
-      "long_name": "Number of Epic Cosmos Patients in State-Level Analysis",
-      "category": "chronic_disease",
-      "short_description": "Number of Epic Cosmos patients in the state-level analysis. Values <=10 are reported as '10 or fewer'.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|sample_size"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|year": {
-      "short_name": "Year",
-      "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|year"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name": {
-      "levels": {
-        "Diabetes": {
-          "id": "Diabetes",
-          "short_name": "Diabetes",
-          "long_name": "Diabetes Prevalence",
-          "category": "chronic_disease",
-          "short_description": "Estimated prevalence of diabetes among adults.",
-          "long_description": "Estimated prevalence of diabetes among adults, from BRFSS (self-reported diagnosis), Epic Cosmos (HbA1c >=6.5% or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
-          "measure_type": "Percent",
-          "unit": "%",
-          "time_resolution": "Year",
-          "sources": [
-            {
-              "id": "brfss"
-            },
-            {
-              "id": "epic"
-            },
-            {
-              "id": "cms_mmd"
-            }
-          ]
-        },
-        "Obesity": {
-          "id": "Obesity",
-          "short_name": "Obesity",
-          "long_name": "Obesity Prevalence",
-          "category": "chronic_disease",
-          "short_description": "Estimated prevalence of obesity (BMI >=30) among adults.",
-          "long_description": "Estimated prevalence of obesity among adults, from BRFSS (self-reported height/weight, BMI >=30), Epic Cosmos (measured BMI >=30 or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
-          "measure_type": "Percent",
-          "unit": "%",
-          "time_resolution": "Year",
-          "sources": [
-            {
-              "id": "brfss"
-            },
-            {
-              "id": "epic"
-            },
-            {
-              "id": "cms_mmd"
-            }
-          ]
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|source": {
-      "short_name": "Data source / clinical definition",
-      "levels": {
-        "CDC BRFSS": {
-          "source_id": "prev_diabetes_survey",
-          "id": "CDC BRFSS",
-          "name": "prev_diabetes_survey",
-          "duplicates": 149,
-          "info": {
-            "id": "prev_diabetes_survey",
-            "short_name": "Diabetes Prevalence (Survey)",
-            "long_name": "Diabetes Prevalence from BRFSS Survey",
-            "short_description": "Estimated diabetes prevalence from BRFSS survey data.",
-            "measure_type": "percent",
-            "unit": "percent",
-            "time_resolution": "year",
-            "sources": [
-              {
-                "id": "brfss"
-              }
-            ],
-            "source_file": {
-              "project": "brfss",
-              "data_dir": "/data/brfss/standard",
-              "file": "data_survey.csv.gz"
-            }
-          },
-          "time_range": [
-            0,
-            7
-          ],
-          "type": "float",
-          "missing": 0,
-          "mean": 10.662075,
-          "sd": 9.28104,
-          "min": 0,
-          "max": 100
-        },
-        "Epic Cosmos: BMI": {
-          "source_id": "obesity_bmi",
-          "id": "Epic Cosmos: BMI"
-        },
-        "Epic Cosmos: HbA1c": {
-          "source_id": "diabetes_a1c_6_5",
-          "id": "Epic Cosmos: HbA1c"
-        },
-        "Epic Cosmos: ICD10": {
-          "source_id": "diabetes_dx_ccw",
-          "id": "Epic Cosmos: ICD10"
-        },
-        "Medicare FFS": {
-          "source_id": "cms_diabetes",
-          "id": "Medicare FFS",
-          "name": "cms_diabetes",
-          "duplicates": 58592,
-          "info": {
-            "full_name": "cms_diabetes",
-            "measure": "cms_diabetes",
-            "short_name": "CMS: Diabetes",
-            "long_name": "Prevalence among Medicare Fee for Service patients of Diabetes",
-            "category": "chronic conditions",
-            "short_description": "Prevalence among Medicare Fee for Service patients of Diabetes.",
-            "long_description": "Prevalence among Medicare Fee for Service patients of Diabetes. Prevalence rates are calculated by searching for certain diagnosis codes in Medicare beneficiaries’ claims. A beneficiary is considered to have a condition if the CMS administrative data has a claim indicating that the beneficiary is diagnosed for a specific condition over the reference time period (one, two, or three years, depending on the condition chosen) or, in the case of ESRD and disability, if the reason for entitlement (original or current) is listed as disabled or ESRD in the MBSF. The definitions used are the FFS definitions, based on ICD10 codes: https://www2.ccwdata.org/documents/10280/19139421/chr-chronic-condition-algorithms.pdf",
-            "statement": "The viral activity level of Diabetes in wastewater is {value}.",
-            "measure_type": "prevalence",
-            "unit": "percentage",
-            "time_resolution": "year",
-            "sources": [
-              {
-                "name": "Center of Medicare and Medicaid Services (CMS)",
-                "url": "https://data.cdc.gov",
-                "location": "Mapping Medicare Disparities by Population Tool",
-                "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
-                "date_accessed": 2025
-              }
-            ],
-            "sources.1": [
-              {
-                "name": "Center of Medicare and Medicaid Services (CMS)",
-                "url": "https://data.cdc.gov",
-                "location": "Mapping Medicare Disparities by Population Tool",
-                "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
-                "date_accessed": 2025
-              }
-            ],
-            "id": "cms_diabetes",
-            "source_file": {
-              "project": "cms_mmd",
-              "data_dir": "/data/cms_mmd/standard",
-              "file": "data_state_county_age.csv.gz"
-            }
-          },
-          "time_range": [
-            0,
-            2
-          ],
-          "type": "integer",
-          "missing": 24,
-          "mean": 26.589188,
-          "sd": 6.276079,
-          "min": 0,
-          "max": 78
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|year": {
+      "short_name": "Year",
+      "short_description": "Calendar year of the estimate.",
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|year"
+    },
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|age": {
+      "short_name": "Age group",
+      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|age"
+    },
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|outcome_name": {
+      "short_name": "Chronic condition",
+      "levels": {
+        "Diabetes": {
+          "id": "Diabetes"
+        },
+        "Obesity": {
+          "id": "Obesity"
         }
       },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value": {
-      "short_name": "Chronic disease prevalence",
-      "long_name": "Chronic Disease Prevalence by Geography, Year, and Source",
-      "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        },
-        {
-          "id": "epic"
-        },
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "long_description": "Combined state-level prevalence estimates for diabetes and obesity from CDC BRFSS (telephone survey), Epic Cosmos EHR (HbA1c, ICD-10, and BMI-based definitions), and Medicare Fee-for-Service administrative claims. The outcome_name column identifies the condition (Diabetes or Obesity); the source column identifies the data source and clinical definition. These sources are not directly comparable due to differences in population covered (all adults vs. Epic patients vs. Medicare beneficiaries >=65), case definitions, and ascertainment methodology.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|pct_captured": {
-      "short_name": "Epic population capture (%)",
-      "long_name": "Percentage of 2021 Population Captured in Epic Cosmos",
-      "category": "chronic_disease",
-      "short_description": "For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|pct_captured"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|sample_size": {
-      "short_name": "Sample size",
-      "long_name": "Sample Size for Prevalence Estimate",
-      "category": "chronic_disease",
-      "short_description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.",
-      "long_description": "Sample size underlying the prevalence estimate. Interpretation varies by source: for BRFSS, this is the number of survey respondents; for Epic Cosmos, this is the number of active patients (values <=10 are reported as '10 or fewer'); for Medicare FFS, this is the number of beneficiaries with a Medicare claim.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        },
-        {
-          "id": "epic"
-        },
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|sample_size"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_lcl": {
-      "short_name": "Prevalence lower 95% CI",
-      "long_name": "Lower 95% Confidence Interval for Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_lcl"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_ucl": {
-      "short_name": "Prevalence upper 95% CI",
-      "long_name": "Upper 95% Confidence Interval for Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_ucl"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "5-digit county FIPS code as a string.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|age"
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|outcome_name"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|source": {
-      "short_name": "Data source / clinical definition",
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|source": {
+      "short_name": "Data source",
       "levels": {
-        "Epic Cosmos: BMI": {
-          "source_id": "obesity_bmi",
-          "id": "Epic Cosmos: BMI"
-        },
-        "Epic Cosmos: HbA1c": {
-          "source_id": "diabetes_a1c_6_5",
-          "id": "Epic Cosmos: HbA1c"
-        },
-        "Medicare FFS": {
-          "source_id": "cms_diabetes",
-          "id": "Medicare FFS",
-          "name": "cms_diabetes",
-          "duplicates": 58592,
+        "CDC BRFSS": {
+          "source_id": "prev_diabetes_survey",
+          "id": "CDC BRFSS",
+          "name": "prev_diabetes_survey",
+          "duplicates": 149,
           "info": {
-            "full_name": "cms_diabetes",
-            "measure": "cms_diabetes",
-            "short_name": "CMS: Diabetes",
-            "long_name": "Prevalence among Medicare Fee for Service patients of Diabetes",
-            "category": "chronic conditions",
-            "short_description": "Prevalence among Medicare Fee for Service patients of Diabetes.",
-            "long_description": "Prevalence among Medicare Fee for Service patients of Diabetes. Prevalence rates are calculated by searching for certain diagnosis codes in Medicare beneficiaries’ claims. A beneficiary is considered to have a condition if the CMS administrative data has a claim indicating that the beneficiary is diagnosed for a specific condition over the reference time period (one, two, or three years, depending on the condition chosen) or, in the case of ESRD and disability, if the reason for entitlement (original or current) is listed as disabled or ESRD in the MBSF. The definitions used are the FFS definitions, based on ICD10 codes: https://www2.ccwdata.org/documents/10280/19139421/chr-chronic-condition-algorithms.pdf",
-            "statement": "The viral activity level of Diabetes in wastewater is {value}.",
-            "measure_type": "prevalence",
-            "unit": "percentage",
+            "id": "prev_diabetes_survey",
+            "short_name": "Diabetes Prevalence (Survey)",
+            "long_name": "Diabetes Prevalence from BRFSS Survey",
+            "short_description": "Estimated diabetes prevalence from BRFSS survey data.",
+            "measure_type": "percent",
+            "unit": "percent",
             "time_resolution": "year",
             "sources": [
               {
-                "name": "Center of Medicare and Medicaid Services (CMS)",
-                "url": "https://data.cdc.gov",
-                "location": "Mapping Medicare Disparities by Population Tool",
-                "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
-                "date_accessed": 2025
-              }
-            ],
-            "sources.1": [
-              {
-                "name": "Center of Medicare and Medicaid Services (CMS)",
-                "url": "https://data.cdc.gov",
-                "location": "Mapping Medicare Disparities by Population Tool",
-                "location_url": "https://data.cms.gov/tools/mapping-medicare-disparities-by-population",
-                "date_accessed": 2025
+                "id": "brfss"
               }
             ],
-            "id": "cms_diabetes",
             "source_file": {
-              "project": "cms_mmd",
-              "data_dir": "/data/cms_mmd/standard",
-              "file": "data_state_county_age.csv.gz"
+              "project": "brfss",
+              "data_dir": "/data/brfss/standard",
+              "file": "data_survey.csv.gz"
             }
           },
           "time_range": [
             0,
-            2
+            7
           ],
-          "type": "integer",
-          "missing": 24,
-          "mean": 26.589188,
-          "sd": 6.276079,
+          "type": "float",
+          "missing": 0,
+          "mean": 10.662075,
+          "sd": 9.28104,
           "min": 0,
-          "max": 78
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|outcome_name": {
-      "short_name": "Chronic condition",
-      "levels": {
-        "Diabetes": {
-          "id": "Diabetes"
-        },
-        "Obesity": {
-          "id": "Obesity"
+          "max": 100
         }
       },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|outcome_name"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|value": {
-      "short_name": "Chronic disease prevalence (county)",
-      "long_name": "County-Level Chronic Disease Prevalence from Epic and Medicare",
-      "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity at county level from Epic Cosmos or Medicare FFS.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        },
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "long_description": "County-level prevalence estimates for diabetes and obesity from Epic Cosmos (2025 snapshot) and Medicare Fee-for-Service (CMS, most recent year). For Epic Cosmos: 'Epic Cosmos: HbA1c' uses HbA1c >=6.5% for diabetes; 'Epic Cosmos: BMI' uses measured BMI >=30 for obesity. For Medicare FFS: diagnosis based on CCW ICD-10 algorithm. The source column identifies the data source and clinical definition.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|year": {
-      "short_name": "Year",
-      "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|year"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|pct_captured": {
-      "short_name": "Epic population capture (%, county)",
-      "long_name": "Percentage of 2021 County Population Captured in Epic Cosmos",
-      "category": "chronic_disease",
-      "short_description": "Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group (Epic rows only).",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "epic"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|pct_captured"
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|source"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|sample_size": {
-      "short_name": "Patient count (county)",
-      "long_name": "Number of Patients in County-Level Analysis",
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value": {
+      "short_name": "Chronic disease prevalence (BRFSS)",
+      "long_name": "BRFSS Chronic Disease Prevalence Estimate",
       "category": "chronic_disease",
-      "short_description": "Number of patients used in the county-level analysis. Small counts from Epic Cosmos are reported as '10 or fewer'.",
-      "measure_type": "Count",
-      "unit": "Count",
+      "short_description": "Estimated prevalence of diabetes or obesity from BRFSS telephone survey, by state and year.",
+      "measure_type": "Percent",
+      "unit": "%",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "epic"
-        },
-        {
-          "id": "cms_mmd"
+          "id": "brfss"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|sample_size"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|fips": {
-      "short_name": "FIPS code",
-      "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|fips"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|outcome_name": {
-      "short_name": "Chronic condition",
-      "levels": {
-        "Diabetes": {
-          "id": "Diabetes"
-        },
-        "Obesity": {
-          "id": "Obesity"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|outcome_name"
-    },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|source": {
-      "short_name": "Data source",
-      "levels": {
-        "Epic Cosmos": {
-          "id": "Epic Cosmos"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|source"
+      "long_description": "Age-stratified state-level prevalence estimates for diabetes and obesity from the CDC Behavioral Risk Factor Surveillance System (BRFSS). Diabetes prevalence is based on self-reported ever-diagnosis; obesity is based on calculated BMI >=30 from self-reported height and weight. The outcome_name column identifies the condition. Includes 95% confidence intervals (value_lcl, value_ucl) and survey sample size.",
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|value": {
-      "short_name": "Chronic disease prevalence (Epic, state)",
-      "long_name": "Epic Cosmos State-Level Chronic Disease Prevalence",
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_lcl": {
+      "short_name": "Prevalence lower 95% CI (BRFSS)",
+      "long_name": "Lower 95% Confidence Interval for BRFSS Prevalence",
       "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at state level.",
+      "short_description": "Lower bound of the 95% confidence interval for BRFSS chronic disease prevalence.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "epic"
+          "id": "brfss"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|value"
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_lcl"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|pct_captured": {
-      "short_name": "Epic population capture (%)",
-      "long_name": "Percentage of 2021 State Population Captured in Epic Cosmos",
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_ucl": {
+      "short_name": "Prevalence upper 95% CI (BRFSS)",
+      "long_name": "Upper 95% Confidence Interval for BRFSS Prevalence",
       "category": "chronic_disease",
-      "short_description": "Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.",
+      "short_description": "Upper bound of the 95% confidence interval for BRFSS chronic disease prevalence.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "epic"
+          "id": "brfss"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|pct_captured"
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|value_ucl"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|sample_size": {
-      "short_name": "Epic patient count (state)",
-      "long_name": "Number of Epic Cosmos Patients in State-Level Analysis",
+    "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|sample_size": {
+      "short_name": "Sample size (BRFSS)",
+      "long_name": "BRFSS Survey Sample Size",
       "category": "chronic_disease",
-      "short_description": "Number of Epic Cosmos patients in the analysis; values <=10 are reported as '10 or fewer'.",
+      "short_description": "Number of BRFSS survey respondents used to estimate chronic disease prevalence.",
       "measure_type": "Count",
       "unit": "Count",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "epic"
+          "id": "brfss"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|sample_size"
+      "id": "bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet|sample_size"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|geography": {
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|geography": {
       "short_name": "Geography",
-      "short_description": "5-digit county FIPS code as a string.",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|geography"
+      "short_description": "U.S. state or territory name; 'United States' = national.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|geography"
+    },
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|fips": {
+      "short_name": "FIPS code",
+      "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|fips"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|age": {
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|age": {
       "short_name": "Age group",
       "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|age"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|age"
+    },
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|year": {
+      "short_name": "Year",
+      "short_description": "Calendar year of the estimate.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|year"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|outcome_name": {
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|outcome_name": {
       "short_name": "Chronic condition",
       "levels": {
         "Diabetes": {
@@ -20969,22 +5886,31 @@
           "id": "Obesity"
         }
       },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|outcome_name"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|outcome_name"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|source": {
-      "short_name": "Data source",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|source": {
+      "short_name": "Data source / clinical definition",
       "levels": {
-        "Epic Cosmos": {
-          "id": "Epic Cosmos"
+        "Epic Cosmos: BMI": {
+          "source_id": "obesity_bmi",
+          "id": "Epic Cosmos: BMI"
+        },
+        "Epic Cosmos: HbA1c": {
+          "source_id": "diabetes_a1c_6_5",
+          "id": "Epic Cosmos: HbA1c"
+        },
+        "Epic Cosmos: ICD10": {
+          "source_id": "diabetes_dx_ccw",
+          "id": "Epic Cosmos: ICD10"
         }
       },
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|source"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|source"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|value": {
-      "short_name": "Chronic disease prevalence (Epic, county)",
-      "long_name": "Epic Cosmos County-Level Chronic Disease Prevalence",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|value": {
+      "short_name": "Chronic disease prevalence (Epic, state)",
+      "long_name": "Epic Cosmos State-Level Chronic Disease Prevalence",
       "category": "chronic_disease",
-      "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at county level.",
+      "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR, by state and year.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
@@ -20993,13 +5919,14 @@
           "id": "epic"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|value"
+      "long_description": "State-level prevalence estimates for diabetes and obesity from Epic Cosmos electronic health records. The source column identifies the clinical definition: 'Epic Cosmos: HbA1c' uses HbA1c >=6.5% for diabetes; 'Epic Cosmos: ICD10' uses CCW ICD-10 diagnosis codes for both conditions; 'Epic Cosmos: BMI' uses measured BMI >=30 for obesity. Values represent the percentage of active Epic patients meeting the specified criterion.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|value"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|pct_captured": {
-      "short_name": "Epic population capture (%, county)",
-      "long_name": "Percentage of 2021 County Population Captured in Epic Cosmos",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|pct_captured": {
+      "short_name": "Epic population capture (%)",
+      "long_name": "Percentage of 2021 State Population Captured in Epic Cosmos",
       "category": "chronic_disease",
-      "short_description": "Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group.",
+      "short_description": "Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
@@ -21008,13 +5935,13 @@
           "id": "epic"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|pct_captured"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|pct_captured"
     },
-    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|sample_size": {
-      "short_name": "Epic patient count (county)",
-      "long_name": "Number of Epic Cosmos Patients in County-Level Analysis",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|sample_size": {
+      "short_name": "Epic patient count (state)",
+      "long_name": "Number of Epic Cosmos Patients in State-Level Analysis",
       "category": "chronic_disease",
-      "short_description": "Number of Epic Cosmos patients in the county analysis; values <=10 are reported as '10 or fewer'.",
+      "short_description": "Number of Epic Cosmos patients in the state-level analysis. Values <=10 are reported as '10 or fewer'.",
       "measure_type": "Count",
       "unit": "Count",
       "time_resolution": "Year",
@@ -21023,32 +5950,74 @@
           "id": "epic"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|sample_size"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet|sample_size"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|geography": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|geography": {
       "short_name": "Geography",
       "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|geography"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|geography"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|age": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|age": {
       "short_name": "Age group",
       "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|age"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|age"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|outcome_name": {
-      "short_name": "Chronic condition",
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|year": {
+      "short_name": "Year",
+      "short_description": "Calendar year of the estimate.",
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|year"
+    },
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name": {
       "levels": {
         "Diabetes": {
-          "id": "Diabetes"
+          "id": "Diabetes",
+          "short_name": "Diabetes",
+          "long_name": "Diabetes Prevalence",
+          "category": "chronic_disease",
+          "short_description": "Estimated prevalence of diabetes among adults.",
+          "long_description": "Estimated prevalence of diabetes among adults, from BRFSS (self-reported diagnosis), Epic Cosmos (HbA1c >=6.5% or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+          "measure_type": "Percent",
+          "unit": "%",
+          "time_resolution": "Year",
+          "sources": [
+            {
+              "id": "brfss"
+            },
+            {
+              "id": "epic"
+            },
+            {
+              "id": "cms_mmd"
+            }
+          ]
         },
         "Obesity": {
-          "id": "Obesity"
+          "id": "Obesity",
+          "short_name": "Obesity",
+          "long_name": "Obesity Prevalence",
+          "category": "chronic_disease",
+          "short_description": "Estimated prevalence of obesity (BMI >=30) among adults.",
+          "long_description": "Estimated prevalence of obesity among adults, from BRFSS (self-reported height/weight, BMI >=30), Epic Cosmos (measured BMI >=30 or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+          "measure_type": "Percent",
+          "unit": "%",
+          "time_resolution": "Year",
+          "sources": [
+            {
+              "id": "brfss"
+            },
+            {
+              "id": "epic"
+            },
+            {
+              "id": "cms_mmd"
+            }
+          ]
         }
       },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|outcome_name"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|source": {
-      "short_name": "Data source",
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|source": {
+      "short_name": "Data source / clinical definition",
       "levels": {
         "CDC BRFSS": {
           "source_id": "prev_diabetes_survey",
@@ -21085,12 +6054,21 @@
           "min": 0,
           "max": 100
         },
-        "Epic Cosmos": {
-          "id": "Epic Cosmos"
+        "Epic Cosmos: BMI": {
+          "source_id": "obesity_bmi",
+          "id": "Epic Cosmos: BMI"
+        },
+        "Epic Cosmos: HbA1c": {
+          "source_id": "diabetes_a1c_6_5",
+          "id": "Epic Cosmos: HbA1c"
+        },
+        "Epic Cosmos: ICD10": {
+          "source_id": "diabetes_dx_ccw",
+          "id": "Epic Cosmos: ICD10"
         },
-        "Medicare_CMS": {
+        "Medicare FFS": {
           "source_id": "cms_diabetes",
-          "id": "Medicare_CMS",
+          "id": "Medicare FFS",
           "name": "cms_diabetes",
           "duplicates": 58592,
           "info": {
@@ -21142,13 +6120,13 @@
           "max": 78
         }
       },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|source"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|source"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value": {
       "short_name": "Chronic disease prevalence",
-      "long_name": "Chronic Disease Prevalence by Geography and Source",
+      "long_name": "Chronic Disease Prevalence by Geography, Year, and Source",
       "category": "chronic_disease",
-      "short_description": "Combined state-level prevalence of diabetes or obesity from BRFSS, Epic Cosmos, and Medicare, most recent year.",
+      "short_description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
@@ -21163,13 +6141,14 @@
           "id": "cms_mmd"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value"
+      "long_description": "Combined state-level prevalence estimates for diabetes and obesity from CDC BRFSS (telephone survey), Epic Cosmos EHR (HbA1c, ICD-10, and BMI-based definitions), and Medicare Fee-for-Service administrative claims. The outcome_name column identifies the condition (Diabetes or Obesity); the source column identifies the data source and clinical definition. These sources are not directly comparable due to differences in population covered (all adults vs. Epic patients vs. Medicare beneficiaries >=65), case definitions, and ascertainment methodology.",
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|pct_captured": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|pct_captured": {
       "short_name": "Epic population capture (%)",
       "long_name": "Percentage of 2021 Population Captured in Epic Cosmos",
       "category": "chronic_disease",
-      "short_description": "For Epic Cosmos rows, percentage of the 2021 population in the Epic panel; NA otherwise.",
+      "short_description": "For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
@@ -21178,13 +6157,14 @@
           "id": "epic"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|pct_captured"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|pct_captured"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|sample_size": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|sample_size": {
       "short_name": "Sample size",
       "long_name": "Sample Size for Prevalence Estimate",
       "category": "chronic_disease",
-      "short_description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare).",
+      "short_description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.",
+      "long_description": "Sample size underlying the prevalence estimate. Interpretation varies by source: for BRFSS, this is the number of survey respondents; for Epic Cosmos, this is the number of active patients (values <=10 are reported as '10 or fewer'); for Medicare FFS, this is the number of beneficiaries with a Medicare claim.",
       "measure_type": "Count",
       "unit": "Count",
       "time_resolution": "Year",
@@ -21199,13 +6179,13 @@
           "id": "cms_mmd"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|sample_size"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|sample_size"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_lcl": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_lcl": {
       "short_name": "Prevalence lower 95% CI",
       "long_name": "Lower 95% Confidence Interval for Prevalence",
       "category": "chronic_disease",
-      "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
+      "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
@@ -21214,74 +6194,47 @@
           "id": "brfss"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_lcl"
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_lcl"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_ucl": {
+    "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_ucl": {
       "short_name": "Prevalence upper 95% CI",
       "long_name": "Upper 95% Confidence Interval for Prevalence",
-      "category": "chronic_disease",
-      "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_ucl"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|fips": {
-      "short_name": "FIPS code",
-      "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|fips"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|source": {
-      "short_name": "Data source",
-      "levels": {
-        "CDC BRFSS": {
-          "source_id": "prev_diabetes_survey",
-          "id": "CDC BRFSS",
-          "name": "prev_diabetes_survey",
-          "duplicates": 149,
-          "info": {
-            "id": "prev_diabetes_survey",
-            "short_name": "Diabetes Prevalence (Survey)",
-            "long_name": "Diabetes Prevalence from BRFSS Survey",
-            "short_description": "Estimated diabetes prevalence from BRFSS survey data.",
-            "measure_type": "percent",
-            "unit": "percent",
-            "time_resolution": "year",
-            "sources": [
-              {
-                "id": "brfss"
-              }
-            ],
-            "source_file": {
-              "project": "brfss",
-              "data_dir": "/data/brfss/standard",
-              "file": "data_survey.csv.gz"
-            }
-          },
-          "time_range": [
-            0,
-            7
-          ],
-          "type": "float",
-          "missing": 0,
-          "mean": 10.662075,
-          "sd": 9.28104,
-          "min": 0,
-          "max": 100
+      "category": "chronic_disease",
+      "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
+      "measure_type": "Percent",
+      "unit": "%",
+      "time_resolution": "Year",
+      "sources": [
+        {
+          "id": "brfss"
+        }
+      ],
+      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|value_ucl"
+    },
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|geography": {
+      "short_name": "Geography",
+      "short_description": "5-digit county FIPS code as a string.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|geography"
+    },
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|age": {
+      "short_name": "Age group",
+      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|age"
+    },
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|source": {
+      "short_name": "Data source / clinical definition",
+      "levels": {
+        "Epic Cosmos: BMI": {
+          "source_id": "obesity_bmi",
+          "id": "Epic Cosmos: BMI"
+        },
+        "Epic Cosmos: HbA1c": {
+          "source_id": "diabetes_a1c_6_5",
+          "id": "Epic Cosmos: HbA1c"
         },
-        "Medicare_CMS": {
+        "Medicare FFS": {
           "source_id": "cms_diabetes",
-          "id": "Medicare_CMS",
+          "id": "Medicare FFS",
           "name": "cms_diabetes",
           "duplicates": 58592,
           "info": {
@@ -21333,14 +6286,9 @@
           "max": 78
         }
       },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|geography"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|source"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|outcome_name": {
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|outcome_name": {
       "short_name": "Chronic condition",
       "levels": {
         "Diabetes": {
@@ -21350,440 +6298,64 @@
           "id": "Obesity"
         }
       },
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|outcome_name"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|outcome_name"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value": {
-      "short_name": "Chronic disease prevalence",
-      "long_name": "Chronic Disease Prevalence by Geography, Year, and Source",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|value": {
+      "short_name": "Chronic disease prevalence (county)",
+      "long_name": "County-Level Chronic Disease Prevalence from Epic and Medicare",
       "category": "chronic_disease",
-      "short_description": "Combined BRFSS and Medicare FFS prevalence of diabetes or obesity by state and year.",
+      "short_description": "Estimated prevalence of diabetes or obesity at county level from Epic Cosmos or Medicare FFS.",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "brfss"
+          "id": "epic"
         },
         {
           "id": "cms_mmd"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value"
+      "long_description": "County-level prevalence estimates for diabetes and obesity from Epic Cosmos (2025 snapshot) and Medicare Fee-for-Service (CMS, most recent year). For Epic Cosmos: 'Epic Cosmos: HbA1c' uses HbA1c >=6.5% for diabetes; 'Epic Cosmos: BMI' uses measured BMI >=30 for obesity. For Medicare FFS: diagnosis based on CCW ICD-10 algorithm. The source column identifies the data source and clinical definition.",
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|value"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|year": {
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|year": {
       "short_name": "Year",
       "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|year"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|year"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_lcl": {
-      "short_name": "Prevalence lower 95% CI",
-      "long_name": "Lower 95% Confidence Interval for Prevalence",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|pct_captured": {
+      "short_name": "Epic population capture (%, county)",
+      "long_name": "Percentage of 2021 County Population Captured in Epic Cosmos",
       "category": "chronic_disease",
-      "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
+      "short_description": "Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group (Epic rows only).",
       "measure_type": "Percent",
       "unit": "%",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "brfss"
+          "id": "epic"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_lcl"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|pct_captured"
     },
-    "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_ucl": {
-      "short_name": "Prevalence upper 95% CI",
-      "long_name": "Upper 95% Confidence Interval for Prevalence",
+    "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|sample_size": {
+      "short_name": "Patient count (county)",
+      "long_name": "Number of Patients in County-Level Analysis",
       "category": "chronic_disease",
-      "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "brfss"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_ucl"
-    },
-    "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|year": {
-      "short_name": "Year",
-      "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|year"
-    },
-    "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "County FIPS code or state/county name.",
-      "id": "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|opioid_rate": {
-      "short_name": "Opioid use disorder rate",
-      "long_name": "County Opioid Use Disorder Rate",
-      "category": "injury",
-      "short_description": "Opioid use disorder prevalence rate at the county level (stale/foreign output).",
-      "measure_type": "Rate",
-      "unit": "Rate",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|opioid_rate"
-    },
-    "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|source": {
-      "short_name": "Data source",
-      "short_description": "Data source for the opioid rate.",
-      "levels": {
-        "Medicare": {
-          "id": "Medicare"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|year": {
-      "short_name": "Year",
-      "short_description": "Calendar year of the estimate.",
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|year"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|cause_of_death": {
-      "short_name": "Cause of death",
-      "short_description": "Injury/external cause of death category (CDC WISQARS classification).",
-      "levels": {
-        "cut_pierce": {
-          "id": "cut_pierce"
-        },
-        "drowning_includes_water_transport_": {
-          "id": "drowning_includes_water_transport_"
-        },
-        "drug_poisoning": {
-          "id": "drug_poisoning"
-        },
-        "fall": {
-          "id": "fall"
-        },
-        "fire_flame": {
-          "id": "fire_flame"
-        },
-        "firearm_accident": {
-          "id": "firearm_accident"
-        },
-        "firearm_intentional": {
-          "id": "firearm_intentional"
-        },
-        "machinery": {
-          "id": "machinery"
-        },
-        "motor_vehicle_traffic": {
-          "id": "motor_vehicle_traffic"
-        },
-        "natural_environmental": {
-          "id": "natural_environmental"
-        },
-        "non_drug_poisoning": {
-          "id": "non_drug_poisoning"
-        },
-        "other_specified_and_classifiable": {
-          "id": "other_specified_and_classifiable"
-        },
-        "other_specified_nec": {
-          "id": "other_specified_nec"
-        },
-        "pedal_cyclist_other": {
-          "id": "pedal_cyclist_other"
-        },
-        "pedestrian_other": {
-          "id": "pedestrian_other"
-        },
-        "struck_by_against": {
-          "id": "struck_by_against"
-        },
-        "suffocation": {
-          "id": "suffocation"
-        },
-        "transport_other_excl_drown_by_water_transp_": {
-          "id": "transport_other_excl_drown_by_water_transp_"
-        },
-        "transport_other_land": {
-          "id": "transport_other_land"
-        },
-        "unspecified": {
-          "id": "unspecified"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|cause_of_death"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|value": {
-      "short_name": "Death rate",
-      "long_name": "Injury Death Rate by Cause and Age",
-      "category": "injury",
-      "short_description": "Death rate for the given cause of death, by age and geography (stale/foreign output).",
-      "measure_type": "Rate",
-      "unit": "Deaths per 100,000",
-      "time_resolution": "Year",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/deaths_cause_age.parquet|N": {
-      "short_name": "Number of deaths",
-      "long_name": "Number of Deaths",
-      "category": "injury",
-      "short_description": "Count of deaths for the given cause of death, age, and geography.",
+      "short_description": "Number of patients used in the county-level analysis. Small counts from Epic Cosmos are reported as '10 or fewer'.",
       "measure_type": "Count",
       "unit": "Count",
       "time_resolution": "Year",
       "sources": [
         {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/deaths_cause_age.parquet|N"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|fips": {
-      "short_name": "FIPS code",
-      "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|fips"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|date": {
-      "short_name": "Date",
-      "short_description": "Observation date in YYYY-MM-DD format.",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|date"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value": {
-      "short_name": "Overdose measure",
-      "long_name": "Overdose Measure by Geography and Source",
-      "category": "injury",
-      "short_description": "Drug overdose measure (deaths or scaled indicator) by source (stale/foreign output).",
-      "measure_type": "Rate",
-      "unit": "Rate",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|nchs_n_deaths_overdose": {
-      "short_name": "NCHS overdose deaths",
-      "long_name": "NCHS Number of Overdose Deaths",
-      "category": "injury",
-      "short_description": "Number of drug overdose deaths reported by CDC/NCHS.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|nchs_n_deaths_overdose"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|suppressed": {
-      "short_name": "Suppressed flag",
-      "short_description": "1 if the value was suppressed (small count), 0 otherwise.",
-      "measure_type": "Binary",
-      "unit": "0/1",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|suppressed"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|source": {
-      "short_name": "Data source",
-      "short_description": "Data source for the overdose measure.",
-      "levels": {
-        "CDC/NCHS": {
-          "id": "CDC/NCHS"
-        },
-        "CDC/WISQARS": {
-          "id": "CDC/WISQARS"
-        },
-        "Epic Cosmos": {
-          "id": "Epic Cosmos"
-        },
-        "Google Health Trends": {
-          "id": "Google Health Trends"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|age": {
-      "short_name": "Age group",
-      "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|age"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|time_end": {
-      "short_name": "Period end date",
-      "short_description": "End date of the observation period (YYYY-MM-DD).",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|time_end"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value_scale": {
-      "short_name": "Overdose measure (scaled)",
-      "long_name": "Overdose Measure, Min-Max Scaled 0-100",
-      "category": "injury",
-      "short_description": "Overdose measure min-max scaled to 0-100 for cross-source visualization.",
-      "measure_type": "Percent",
-      "unit": "0-100",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value_scale"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "5-digit county FIPS code as a string.",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|date": {
-      "short_name": "Date",
-      "short_description": "Observation date in YYYY-MM-DD format.",
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|date"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|source": {
-      "short_name": "Data source",
-      "short_description": "Data source for the county overdose measure.",
-      "levels": {
-        "CDC/NCHS": {
-          "id": "CDC/NCHS"
+          "id": "epic"
         },
-        "Epic Cosmos": {
-          "id": "Epic Cosmos"
-        }
-      },
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|source"
-    },
-    "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|value": {
-      "short_name": "Overdose measure (county)",
-      "long_name": "County Overdose Measure by Source",
-      "category": "injury",
-      "short_description": "Drug overdose measure at the county level by source (stale/foreign output).",
-      "measure_type": "Rate",
-      "unit": "Rate",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|value"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "5-digit county FIPS code as a string.",
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|time": {
-      "short_name": "Time",
-      "short_description": "Observation date in YYYY-MM-DD format.",
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|time"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|n_deaths_overdose": {
-      "short_name": "Overdose deaths (count)",
-      "long_name": "Number of Overdose Deaths (County)",
-      "category": "injury",
-      "short_description": "Number of drug overdose deaths at the county level.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|n_deaths_overdose"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|rate_deaths_overdose": {
-      "short_name": "Overdose death rate (county)",
-      "long_name": "Overdose Death Rate (County)",
-      "category": "injury",
-      "short_description": "Drug overdose death rate at the county level.",
-      "measure_type": "Rate",
-      "unit": "Deaths per 100,000",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|rate_deaths_overdose"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|suppressed": {
-      "short_name": "Suppressed flag",
-      "short_description": "1 if the count was suppressed (small count), 0 otherwise.",
-      "measure_type": "Binary",
-      "unit": "0/1",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|suppressed"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|geography": {
-      "short_name": "Geography",
-      "short_description": "U.S. state or territory name; 'United States' = national.",
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|geography"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|time": {
-      "short_name": "Time",
-      "short_description": "Observation date in YYYY-MM-DD format.",
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|time"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|n_deaths_overdose": {
-      "short_name": "Overdose deaths (count)",
-      "long_name": "Number of Overdose Deaths (State)",
-      "category": "injury",
-      "short_description": "Number of drug overdose deaths at the state level.",
-      "measure_type": "Count",
-      "unit": "Count",
-      "time_resolution": "Month",
-      "sources": [
-        {
-          "id": "cms_mmd"
-        }
-      ],
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|n_deaths_overdose"
-    },
-    "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|rate_deaths_overdose": {
-      "short_name": "Overdose death rate (state)",
-      "long_name": "Overdose Death Rate (State)",
-      "category": "injury",
-      "short_description": "Drug overdose death rate at the state level.",
-      "measure_type": "Rate",
-      "unit": "Deaths per 100,000",
-      "time_resolution": "Month",
-      "sources": [
         {
           "id": "cms_mmd"
         }
       ],
-      "id": "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|rate_deaths_overdose"
+      "id": "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet|sample_size"
     },
     "_bundle": {
       "name": "bundle_chronic_diseases",
@@ -21911,47 +6483,17 @@
     "brfss_prevalence_by_geography.parquet": {
       "state": "unchanged"
     },
-    "county_opioid_by_source.parquet": {
-      "state": "unchanged"
-    },
-    "deaths_cause_age.parquet": {
-      "state": "unchanged"
-    },
     "epic_prevalence_by_geography_county_and_source.parquet": {
       "state": "unchanged"
     },
-    "epic_prevalence_by_geography_county.parquet": {
-      "state": "unchanged"
-    },
     "epic_prevalence_by_geography_year.parquet": {
       "state": "unchanged"
     },
-    "epic_prevalence_by_geography.parquet": {
-      "state": "unchanged"
-    },
-    "overdose_by_geography_and_source_county.parquet": {
-      "state": "unchanged"
-    },
-    "overdose_by_geography_and_source.parquet": {
-      "state": "unchanged"
-    },
-    "overdose_deaths_county.parquet": {
-      "state": "unchanged"
-    },
-    "overdose_deaths_state.parquet": {
-      "state": "unchanged"
-    },
     "prevalence_by_geography_and_source.csv": {
       "state": "unchanged"
     },
-    "prevalence_by_geography_and_source.parquet": {
-      "state": "unchanged"
-    },
     "prevalence_by_geography_and_year_and_source.parquet": {
       "state": "unchanged"
-    },
-    "prevalence_by_geography_year_and_source.parquet": {
-      "state": "unchanged"
     }
   }
 }
diff --git a/data/bundle_chronic_diseases/dist/deaths_cause_age.parquet b/data/bundle_chronic_diseases/dist/deaths_cause_age.parquet
deleted file mode 100644
index 27280ef09..000000000
Binary files a/data/bundle_chronic_diseases/dist/deaths_cause_age.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet b/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet
deleted file mode 100644
index 56d57a57f..000000000
Binary files a/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet b/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet
deleted file mode 100644
index c102c3128..000000000
Binary files a/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet b/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet
deleted file mode 100644
index 78a1cd52c..000000000
Binary files a/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet b/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet
deleted file mode 100644
index 0872b78d0..000000000
Binary files a/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet b/data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet
deleted file mode 100644
index 5a1506fdc..000000000
Binary files a/data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet b/data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet
deleted file mode 100644
index 795473dd0..000000000
Binary files a/data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet b/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet
deleted file mode 100644
index 59fbb49d1..000000000
Binary files a/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet b/data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet
deleted file mode 100644
index c681574f8..000000000
Binary files a/data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet and /dev/null differ
diff --git a/data/bundle_chronic_diseases/measure_info.json b/data/bundle_chronic_diseases/measure_info.json
index 9b0e5cc5e..796f4378e 100644
--- a/data/bundle_chronic_diseases/measure_info.json
+++ b/data/bundle_chronic_diseases/measure_info.json
@@ -409,617 +409,6 @@
       }
     ]
   },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|fips": {
-    "short_name": "FIPS code",
-    "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national."
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|outcome_name": {
-    "short_name": "Chronic condition",
-    "levels": {
-      "Diabetes": {},
-      "Obesity": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|source": {
-    "short_name": "Data source",
-    "levels": {
-      "Epic Cosmos": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|value": {
-    "short_name": "Chronic disease prevalence (Epic, state)",
-    "long_name": "Epic Cosmos State-Level Chronic Disease Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at state level.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|pct_captured": {
-    "short_name": "Epic population capture (%)",
-    "long_name": "Percentage of 2021 State Population Captured in Epic Cosmos",
-    "category": "chronic_disease",
-    "short_description": "Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet|sample_size": {
-    "short_name": "Epic patient count (state)",
-    "long_name": "Number of Epic Cosmos Patients in State-Level Analysis",
-    "category": "chronic_disease",
-    "short_description": "Number of Epic Cosmos patients in the analysis; values <=10 are reported as '10 or fewer'.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "5-digit county FIPS code as a string."
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|outcome_name": {
-    "short_name": "Chronic condition",
-    "levels": {
-      "Diabetes": {},
-      "Obesity": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|source": {
-    "short_name": "Data source",
-    "levels": {
-      "Epic Cosmos": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|value": {
-    "short_name": "Chronic disease prevalence (Epic, county)",
-    "long_name": "Epic Cosmos County-Level Chronic Disease Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at county level.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|pct_captured": {
-    "short_name": "Epic population capture (%, county)",
-    "long_name": "Percentage of 2021 County Population Captured in Epic Cosmos",
-    "category": "chronic_disease",
-    "short_description": "Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet|sample_size": {
-    "short_name": "Epic patient count (county)",
-    "long_name": "Number of Epic Cosmos Patients in County-Level Analysis",
-    "category": "chronic_disease",
-    "short_description": "Number of Epic Cosmos patients in the county analysis; values <=10 are reported as '10 or fewer'.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|outcome_name": {
-    "short_name": "Chronic condition",
-    "levels": {
-      "Diabetes": {},
-      "Obesity": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|source": {
-    "short_name": "Data source",
-    "levels": {
-      "CDC BRFSS": {
-        "source_id": "prev_diabetes_survey"
-      },
-      "Epic Cosmos": {},
-      "Medicare_CMS": {
-        "source_id": "cms_diabetes"
-      }
-    }
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value": {
-    "short_name": "Chronic disease prevalence",
-    "long_name": "Chronic Disease Prevalence by Geography and Source",
-    "category": "chronic_disease",
-    "short_description": "Combined state-level prevalence of diabetes or obesity from BRFSS, Epic Cosmos, and Medicare, most recent year.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      },
-      {
-        "id": "epic"
-      },
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|pct_captured": {
-    "short_name": "Epic population capture (%)",
-    "long_name": "Percentage of 2021 Population Captured in Epic Cosmos",
-    "category": "chronic_disease",
-    "short_description": "For Epic Cosmos rows, percentage of the 2021 population in the Epic panel; NA otherwise.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "epic"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|sample_size": {
-    "short_name": "Sample size",
-    "long_name": "Sample Size for Prevalence Estimate",
-    "category": "chronic_disease",
-    "short_description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare).",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      },
-      {
-        "id": "epic"
-      },
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_lcl": {
-    "short_name": "Prevalence lower 95% CI",
-    "long_name": "Lower 95% Confidence Interval for Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet|value_ucl": {
-    "short_name": "Prevalence upper 95% CI",
-    "long_name": "Upper 95% Confidence Interval for Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|fips": {
-    "short_name": "FIPS code",
-    "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|source": {
-    "short_name": "Data source",
-    "levels": {
-      "CDC BRFSS": {
-        "source_id": "prev_diabetes_survey"
-      },
-      "Medicare_CMS": {
-        "source_id": "cms_diabetes"
-      }
-    }
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|outcome_name": {
-    "short_name": "Chronic condition",
-    "levels": {
-      "Diabetes": {},
-      "Obesity": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value": {
-    "short_name": "Chronic disease prevalence",
-    "long_name": "Chronic Disease Prevalence by Geography, Year, and Source",
-    "category": "chronic_disease",
-    "short_description": "Combined BRFSS and Medicare FFS prevalence of diabetes or obesity by state and year.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      },
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|year": {
-    "short_name": "Year",
-    "short_description": "Calendar year of the estimate."
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_lcl": {
-    "short_name": "Prevalence lower 95% CI",
-    "long_name": "Lower 95% Confidence Interval for Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet|value_ucl": {
-    "short_name": "Prevalence upper 95% CI",
-    "long_name": "Upper 95% Confidence Interval for Prevalence",
-    "category": "chronic_disease",
-    "short_description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "brfss"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|year": {
-    "short_name": "Year",
-    "short_description": "Calendar year of the estimate."
-  },
-  "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "County FIPS code or state/county name."
-  },
-  "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|opioid_rate": {
-    "short_name": "Opioid use disorder rate",
-    "long_name": "County Opioid Use Disorder Rate",
-    "category": "injury",
-    "short_description": "Opioid use disorder prevalence rate at the county level (stale/foreign output).",
-    "measure_type": "Rate",
-    "unit": "Rate",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/county_opioid_by_source.parquet|source": {
-    "short_name": "Data source",
-    "short_description": "Data source for the opioid rate.",
-    "levels": {
-      "Medicare": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|year": {
-    "short_name": "Year",
-    "short_description": "Calendar year of the estimate."
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|cause_of_death": {
-    "short_name": "Cause of death",
-    "short_description": "Injury/external cause of death category (CDC WISQARS classification).",
-    "levels": {
-      "cut_pierce": {},
-      "drowning_includes_water_transport_": {},
-      "drug_poisoning": {},
-      "fall": {},
-      "fire_flame": {},
-      "firearm_accident": {},
-      "firearm_intentional": {},
-      "machinery": {},
-      "motor_vehicle_traffic": {},
-      "natural_environmental": {},
-      "non_drug_poisoning": {},
-      "other_specified_and_classifiable": {},
-      "other_specified_nec": {},
-      "pedal_cyclist_other": {},
-      "pedestrian_other": {},
-      "struck_by_against": {},
-      "suffocation": {},
-      "transport_other_excl_drown_by_water_transp_": {},
-      "transport_other_land": {},
-      "unspecified": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|value": {
-    "short_name": "Death rate",
-    "long_name": "Injury Death Rate by Cause and Age",
-    "category": "injury",
-    "short_description": "Death rate for the given cause of death, by age and geography (stale/foreign output).",
-    "measure_type": "Rate",
-    "unit": "Deaths per 100,000",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/deaths_cause_age.parquet|N": {
-    "short_name": "Number of deaths",
-    "long_name": "Number of Deaths",
-    "category": "injury",
-    "short_description": "Count of deaths for the given cause of death, age, and geography.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Year",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|fips": {
-    "short_name": "FIPS code",
-    "short_description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|date": {
-    "short_name": "Date",
-    "short_description": "Observation date in YYYY-MM-DD format."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value": {
-    "short_name": "Overdose measure",
-    "long_name": "Overdose Measure by Geography and Source",
-    "category": "injury",
-    "short_description": "Drug overdose measure (deaths or scaled indicator) by source (stale/foreign output).",
-    "measure_type": "Rate",
-    "unit": "Rate",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|nchs_n_deaths_overdose": {
-    "short_name": "NCHS overdose deaths",
-    "long_name": "NCHS Number of Overdose Deaths",
-    "category": "injury",
-    "short_description": "Number of drug overdose deaths reported by CDC/NCHS.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|suppressed": {
-    "short_name": "Suppressed flag",
-    "short_description": "1 if the value was suppressed (small count), 0 otherwise.",
-    "measure_type": "Binary",
-    "unit": "0/1",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|source": {
-    "short_name": "Data source",
-    "short_description": "Data source for the overdose measure.",
-    "levels": {
-      "CDC/NCHS": {},
-      "CDC/WISQARS": {},
-      "Epic Cosmos": {},
-      "Google Health Trends": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|age": {
-    "short_name": "Age group",
-    "short_description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total)."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|time_end": {
-    "short_name": "Period end date",
-    "short_description": "End date of the observation period (YYYY-MM-DD)."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet|value_scale": {
-    "short_name": "Overdose measure (scaled)",
-    "long_name": "Overdose Measure, Min-Max Scaled 0-100",
-    "category": "injury",
-    "short_description": "Overdose measure min-max scaled to 0-100 for cross-source visualization.",
-    "measure_type": "Percent",
-    "unit": "0-100",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "5-digit county FIPS code as a string."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|date": {
-    "short_name": "Date",
-    "short_description": "Observation date in YYYY-MM-DD format."
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|source": {
-    "short_name": "Data source",
-    "short_description": "Data source for the county overdose measure.",
-    "levels": {
-      "CDC/NCHS": {},
-      "Epic Cosmos": {}
-    }
-  },
-  "bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet|value": {
-    "short_name": "Overdose measure (county)",
-    "long_name": "County Overdose Measure by Source",
-    "category": "injury",
-    "short_description": "Drug overdose measure at the county level by source (stale/foreign output).",
-    "measure_type": "Rate",
-    "unit": "Rate",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "5-digit county FIPS code as a string."
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|time": {
-    "short_name": "Time",
-    "short_description": "Observation date in YYYY-MM-DD format."
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|n_deaths_overdose": {
-    "short_name": "Overdose deaths (count)",
-    "long_name": "Number of Overdose Deaths (County)",
-    "category": "injury",
-    "short_description": "Number of drug overdose deaths at the county level.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|rate_deaths_overdose": {
-    "short_name": "Overdose death rate (county)",
-    "long_name": "Overdose Death Rate (County)",
-    "category": "injury",
-    "short_description": "Drug overdose death rate at the county level.",
-    "measure_type": "Rate",
-    "unit": "Deaths per 100,000",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_county.parquet|suppressed": {
-    "short_name": "Suppressed flag",
-    "short_description": "1 if the count was suppressed (small count), 0 otherwise.",
-    "measure_type": "Binary",
-    "unit": "0/1",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|geography": {
-    "short_name": "Geography",
-    "short_description": "U.S. state or territory name; 'United States' = national."
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|time": {
-    "short_name": "Time",
-    "short_description": "Observation date in YYYY-MM-DD format."
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|n_deaths_overdose": {
-    "short_name": "Overdose deaths (count)",
-    "long_name": "Number of Overdose Deaths (State)",
-    "category": "injury",
-    "short_description": "Number of drug overdose deaths at the state level.",
-    "measure_type": "Count",
-    "unit": "Count",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
-  "bundle_chronic_diseases/dist/overdose_deaths_state.parquet|rate_deaths_overdose": {
-    "short_name": "Overdose death rate (state)",
-    "long_name": "Overdose Death Rate (State)",
-    "category": "injury",
-    "short_description": "Drug overdose death rate at the state level.",
-    "measure_type": "Rate",
-    "unit": "Deaths per 100,000",
-    "time_resolution": "Month",
-    "sources": [
-      {
-        "id": "cms_mmd"
-      }
-    ]
-  },
   "_bundle": {
     "name": "bundle_chronic_diseases",
     "sources": [
@@ -1065,78 +454,6 @@
           "epic_chronic/standard/county_year.csv.gz",
           "cms_mmd/standard/data_state_county_age.csv.gz"
         ]
-      },
-      "epic_prevalence_by_geography.parquet": {
-        "sources": [
-          "epic_chronic"
-        ],
-        "source_files": [
-          "epic_chronic/standard/state_year.csv.gz"
-        ],
-        "note": "Stale output not produced by the current build.R (retained in dist/ from a prior build)."
-      },
-      "epic_prevalence_by_geography_county.parquet": {
-        "sources": [
-          "epic_chronic"
-        ],
-        "source_files": [
-          "epic_chronic/standard/county_year.csv.gz"
-        ],
-        "note": "Stale output not produced by the current build.R (retained in dist/ from a prior build)."
-      },
-      "prevalence_by_geography_and_source.parquet": {
-        "sources": [
-          "brfss",
-          "cms_mmd",
-          "epic_chronic"
-        ],
-        "source_files": [
-          "brfss/standard/data_survey.csv.gz",
-          "epic_chronic/standard/state_year.csv.gz",
-          "cms_mmd/standard/data_state_county_age.csv.gz"
-        ],
-        "note": "Stale output not produced by the current build.R (retained in dist/ from a prior build)."
-      },
-      "prevalence_by_geography_year_and_source.parquet": {
-        "sources": [
-          "brfss",
-          "cms_mmd"
-        ],
-        "source_files": [
-          "brfss/standard/data_survey.csv.gz",
-          "cms_mmd/standard/data_state_county_age.csv.gz"
-        ],
-        "note": "Stale output not produced by the current build.R (retained in dist/ from a prior build)."
-      },
-      "county_opioid_by_source.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
-      },
-      "deaths_cause_age.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
-      },
-      "overdose_by_geography_and_source.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
-      },
-      "overdose_by_geography_and_source_county.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
-      },
-      "overdose_deaths_county.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
-      },
-      "overdose_deaths_state.parquet": {
-        "sources": [],
-        "source_files": [],
-        "note": "Stale/foreign output not produced by the current build.R and not sourced from this bundle's chronic sources; retained in dist/ from a prior build."
       }
     }
   }
diff --git a/data/bundle_chronic_diseases/process.json b/data/bundle_chronic_diseases/process.json
index 0c99952cf..e3d04682a 100644
--- a/data/bundle_chronic_diseases/process.json
+++ b/data/bundle_chronic_diseases/process.json
@@ -95,80 +95,49 @@
     }
   ],
   "source_files": {
-    "brfss/standard/data.csv.gz": [
-      "prevalence_by_geography_and_source.parquet",
-      "prevalence_by_geography_year_and_source.parquet",
-      "brfss_prevalence_by_geography.parquet"
+    "brfss/standard/data_survey.csv.gz": [
+      "brfss_prevalence_by_geography.parquet",
+      "prevalence_by_geography_and_year_and_source.parquet"
     ],
-    "epic/standard/state_no_time.csv.gz": [
-      "epic_prevalence_by_geography.parquet",
-      "prevalence_by_geography_and_source.parquet"
+    "epic_chronic/standard/state_year.csv.gz": [
+      "epic_prevalence_by_geography_year.parquet",
+      "prevalence_by_geography_and_year_and_source.parquet"
     ],
-    "epic/standard/county_no_time.csv.gz": [
-      "epic_prevalence_by_geography_county.parquet"
+    "epic_chronic/standard/county_year.csv.gz": [
+      "epic_prevalence_by_geography_county_and_source.parquet"
     ],
     "cms_mmd/standard/data_state_county_age.csv.gz": [
-      "prevalence_by_geography_and_source.parquet",
-      "prevalence_by_geography_year_and_source.parquet",
+      "prevalence_by_geography_and_year_and_source.parquet",
       "epic_prevalence_by_geography_county_and_source.parquet"
     ]
   },
   "dist_state": {
     "./data/bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet": "b064b35427de273ecaa85b289988b4b7",
-    "./data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet": "53467fd1a7abe591a4e86ef14196ee67",
-    "./data/bundle_chronic_diseases/dist/deaths_cause_age.parquet": "aebde5e7f970fcf1a9ba25f1801fab4d",
     "./data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet": "ade448711bbc166a272212cd445ff68c",
-    "./data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet": "bc108de0907628ee4c3152a61abb184d",
     "./data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet": "542b074906c3e53aa0f911ad486e4dd4",
-    "./data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet": "095dc0070bae5878e8becbc7760724d7",
-    "./data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet": "4205ce858aed6b77f455615c77805ebe",
-    "./data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet": "7198caa0583b46bb95a4107f4a511bef",
-    "./data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet": "89dab4953026a2eb51d9ac81e37c8fee",
-    "./data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet": "8a94c249595fe948306576e4478f816f",
     "./data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.csv": "6a95a327bab3ebbb379c4637b56f09bd",
-    "./data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet": "4788ca656934ca9ec57cbfbe8a74c61d",
     "./data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet": "9ca69c799893c6ce40d16cebf521942b",
-    "./data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet": "c49728f2e07ce9667d2b1e505f0bf199",
     "./data/brfss/standard/datapackage.json": "ddaba0fe96c879485d1f4429a21b44e3",
     "./data/cms_mmd/standard/datapackage.json": "f6ae03d00dc049e032d4d07495f785c3"
   },
-  "standard_state": {
-    "./data/brfss/standard/data.csv.gz": "03391818a9dba46c0eb86e17862527cf",
-    "./data/epic/standard/state_no_time.csv.gz": {},
-    "./data/epic/standard/county_no_time.csv.gz": {},
-    "./data/cms_mmd/standard/data_state_county_age.csv.gz": "88a800cf35c871a0c29f8908805e45bf"
-  },
   "checked": "2026-07-24 19:27:21",
   "check_results": {
     "data/bundle_chronic_diseases/dist/brfss_prevalence_by_geography.parquet": [],
-    "data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet": [],
-    "data/bundle_chronic_diseases/dist/deaths_cause_age.parquet": [],
     "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet": [],
-    "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet": [],
     "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet": [],
-    "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet": [],
-    "data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet": {
-      "data": "geography_nas"
-    },
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-    "data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet": [],
-    "data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet": {
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+      "measures": [
+        "missing_info: age",
+        "missing_info: outcome_name",
+        "missing_info: source",
+        "missing_info: value",
+        "missing_info: pct_captured",
+        "missing_info: sample_size",
+        "missing_info: value_lcl",
+        "missing_info: value_ucl"
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-    "data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet": [],
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-    "./data/cms_mmd/standard/data_state_county_age.csv.gz": "88a800cf35c871a0c29f8908805e45bf"
+    "data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet": []
   }
 }
diff --git a/data/bundle_county_access/process.json b/data/bundle_county_access/process.json
index 91d5a6b73..9895b565a 100644
--- a/data/bundle_county_access/process.json
+++ b/data/bundle_county_access/process.json
@@ -17,7 +17,11 @@
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     }
   ],
-  "source_files": {},
+  "source_files": {
+    "county_health_rankings/standard/data_county.csv.gz": [
+      "county_access.parquet"
+    ]
+  },
   "dist_state": {
     "./data/bundle_county_access/dist/county_access.parquet": "3231af368dd04b035049e4c6f6e4409c"
   },
diff --git a/data/bundle_county_chronic/process.json b/data/bundle_county_chronic/process.json
index 613953d25..f23e410ae 100644
--- a/data/bundle_county_chronic/process.json
+++ b/data/bundle_county_chronic/process.json
@@ -17,7 +17,11 @@
       }
     }
   ],
-  "source_files": {},
+  "source_files": {
+    "county_health_rankings/standard/data_county.csv.gz": [
+      "county_chronic.parquet"
+    ]
+  },
   "dist_state": {
     "./data/bundle_county_chronic/dist/county_chronic.parquet": "277ceea10fb3a95852ffb3095508c84b"
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diff --git a/data/bundle_enteric_diseases/process.json b/data/bundle_enteric_diseases/process.json
index fb3a0c2f1..1f766e3c5 100644
--- a/data/bundle_enteric_diseases/process.json
+++ b/data/bundle_enteric_diseases/process.json
@@ -9,12 +9,60 @@
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+        "log": [
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+          "Wrote 1144329 rows to dist/resistance_by_pattern.parquet",
+          "Wrote 447678 rows to dist/epic_diarrhea.parquet"
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         "success": true
       }
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-  "source_files": {},
+  "source_files": {
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+    "narms/standard/data_resistance_agent.csv.gz": [
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+    "narms/standard/data_retail_meats.csv.gz": [
+      "resistance_by_agent.parquet"
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+    "narms/standard/data_animal_pathogen.csv.gz": [
+      "resistance_by_agent.parquet"
+    ],
+    "narms/standard/data_food_animals.csv.gz": [
+      "resistance_by_agent.parquet"
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+    "narms/standard/data_resistance_pattern.csv.gz": [
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+      "epic_diarrhea.parquet"
+    ]
+  },
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diff --git a/data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet b/data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet
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diff --git a/data/bundle_injury_overdose/dist/datapackage.json b/data/bundle_injury_overdose/dist/datapackage.json
index f0e013e5d..c75c92bd4 100644
--- a/data/bundle_injury_overdose/dist/datapackage.json
+++ b/data/bundle_injury_overdose/dist/datapackage.json
@@ -2,228 +2,6 @@
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@@ -4790,7 +4598,10 @@
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-              "long_description": "Prevalence of the health outcome named in the outcome_name column among patients in the Epic Cosmos database, stratified by geography, age group, and year. The source column identifies the data source.",
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             "duplicates": 468743,
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+            "time_range": [
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               "measure_type": "category",
               "id": "race"
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               "measure_type": "category",
               "id": "ethnicity"
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-            "time_range": [0, 23],
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-          "GitHub Actions <actions@github.com>",
-          "tobysalmon <toby.salmon@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
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-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "Weinberger <daniel.weinberger@yale.edu>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>"
-        ],
-        "date": [
-          "Tue Feb 3 21:40:40 2026 -0500",
-          "Tue Jan 20 14:51:21 2026 +0000",
-          "Mon Jan 19 13:48:00 2026 -0500",
-          "Sun Jan 18 22:22:06 2026 -0500",
-          "Sun Jan 18 22:00:26 2026 -0500",
-          "Tue Jan 13 14:44:06 2026 +0000",
-          "Mon Jan 5 08:56:14 2026 +0000",
-          "Mon Dec 29 08:46:12 2025 +0000",
-          "Mon Dec 22 08:47:17 2025 +0000",
-          "Mon Dec 15 08:49:14 2025 +0000",
-          "Fri Dec 12 12:04:29 2025 -0500",
-          "Thu Dec 11 08:45:37 2025 +0000",
-          "Wed Dec 10 14:47:01 2025 -0500",
-          "Wed Dec 10 12:15:00 2025 -0500",
-          "Thu Dec 4 17:19:46 2025 -0500",
-          "Thu Dec 4 17:16:27 2025 -0500",
-          "Thu Dec 4 10:42:25 2025 -0500",
-          "Thu Dec 4 08:41:27 2025 +0000",
-          "Wed Dec 3 16:52:55 2025 -0500",
-          "Wed Dec 3 02:50:59 2025 +0000",
-          "Mon Dec 1 21:47:35 2025 +0000",
-          "Mon Dec 1 08:44:53 2025 +0000",
-          "Thu Nov 27 08:40:16 2025 +0000",
-          "Tue Nov 25 10:34:15 2025 -0500",
-          "Tue Nov 25 10:21:15 2025 -0500",
-          "Tue Nov 11 14:43:14 2025 -0500",
-          "Tue Nov 11 14:28:21 2025 -0500"
-        ],
-        "message": [
-          "adding crosstabs from wisqars",
-          "scheduled data build",
-          "demographic fix",
-          "rerun bundle",
-          "swap in epic pct to epic rate (per 100K)",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "adds demographics cuts for wisqars",
-          "scheduled data build",
-          "update injury bundle with cleaned epic data",
-          "update bundle",
-          "reslve git merge conflict",
-          "fixes output columsn on bundle; sets Alaska to NA for Epic",
-          "adds heat",
-          "scheduled data build",
-          "bundle updates",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "scheduled data build",
-          "adds heat related Epic to bundle",
-          "fix outpt files to add in Epic monthly data for OD and firearms",
-          "fix heat formatting",
-          "move outputs to dist"
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+            "info": {
+              "short_name": "Data source",
+              "levels": {
+                "Google Health Trends: Heat Stroke": {
+                  "source_id": "gtrends_heat+stroke",
+                  "id": "Google Health Trends: Heat Stroke"
+                },
+                "Google Health Trends: Heat Exhaustion": {
+                  "source_id": "gtrends_heat+exhaustion",
+                  "id": "Google Health Trends: Heat Exhaustion"
+                },
+                "Epic Cosmos": {
+                  "source_id": "epic_rate_ed_heat",
+                  "id": "Epic Cosmos"
+                }
+              },
+              "id": "source"
+            },
+            "time_range": [
+              -1,
+              -1
+            ],
+            "type": "string",
+            "missing": 0,
+            "table": {
+              "Epic Cosmos": 2496,
+              "Google Health Trends: Heat Exhaustion": 624,
+              "Google Health Trends: Heat Stroke": 624
             }
           },
           {
-            "name": "time",
-            "duplicates": 15540,
+            "name": "geography",
+            "duplicates": 3692,
+            "info": [],
+            "time_range": [
+              -1,
+              -1
+            ],
+            "type": "string",
+            "missing": 0,
+            "table": {
+              "Alabama": 72,
+              "Alaska": 72,
+              "Arizona": 72,
+              "Arkansas": 72,
+              "California": 72,
+              "Colorado": 72,
+              "Connecticut": 72,
+              "Delaware": 72,
+              "District of Columbia": 72,
+              "Florida": 72,
+              "Georgia": 72,
+              "Hawaii": 72,
+              "Idaho": 72,
+              "Illinois": 72,
+              "Indiana": 72,
+              "Iowa": 72,
+              "Kansas": 72,
+              "Kentucky": 72,
+              "Louisiana": 72,
+              "Maine": 72,
+              "Maryland": 72,
+              "Massachusetts": 72,
+              "Michigan": 72,
+              "Minnesota": 72,
+              "Mississippi": 72,
+              "Missouri": 72,
+              "Montana": 72,
+              "Nebraska": 72,
+              "Nevada": 72,
+              "New Hampshire": 72,
+              "New Jersey": 72,
+              "New Mexico": 72,
+              "New York": 72,
+              "North Carolina": 72,
+              "North Dakota": 72,
+              "Ohio": 72,
+              "Oklahoma": 72,
+              "Oregon": 72,
+              "Pennsylvania": 72,
+              "Rhode Island": 72,
+              "South Carolina": 72,
+              "South Dakota": 72,
+              "Tennessee": 72,
+              "Texas": 72,
+              "United States": 72,
+              "Utah": 72,
+              "Vermont": 72,
+              "Virginia": 72,
+              "Washington": 72,
+              "West Virginia": 72,
+              "Wisconsin": 72,
+              "Wyoming": 72
+            }
+          },
+          {
+            "name": "age",
+            "duplicates": 3738,
             "info": [],
-            "time_range": [0, 4],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
-              "2026-07-25": 3109,
-              "2026-07-26": 3109,
-              "2026-07-27": 3109,
-              "2026-07-28": 3109,
-              "2026-07-29": 3109
+              "<15 Years": 416,
+              "15-24 Years": 416,
+              "25-44 Years": 416,
+              "45-64 Years": 416,
+              "65+ Years": 416,
+              "Total": 1664
             }
           },
           {
             "name": "value",
-            "duplicates": 8059,
+            "duplicates": 52,
             "info": {
               "id": "value",
-              "short_name": "Heat risk score",
-              "long_name": "NOAA HeatRisk Mean Score",
-              "category": "heat",
-              "short_description": "Mean daily heat risk score (0-4) aggregated to state (or county) level.",
-              "long_description": "The NOAA Weather Prediction Center HeatRisk product provides a daily heat risk forecast across the contiguous United States on a 0-4 scale: 0 = No Risk, 1 = Minor, 2 = Moderate, 3 = Major, 4 = Extreme. Values represent the risk of heat-related illness to the general population, computed as the area-weighted mean raster pixel value within each geographic boundary.",
-              "measure_type": "Index",
-              "unit": "Score (0-4)",
-              "time_resolution": "Day",
+              "short_name": "Heat-related measure",
+              "long_name": "Heat-Related Illness Surveillance Measure by Source",
+              "category": "injury",
+              "short_description": "Heat-related illness measure; units depend on the source (see source column).",
+              "long_description": "Annual heat-related measure in long format. The source column identifies the data source: Google Health Trends (heat stroke or heat exhaustion search volume, annual average) or Epic Cosmos (heat-related ED visit rate per 100,000). Alaska is excluded from Epic Cosmos estimates.",
+              "measure_type": "Mixed (rate or probability, depending on source)",
+              "unit": "Varies by source",
+              "time_resolution": "Year",
               "sources": [
                 {
-                  "id": "noaa_wpc_heatrisk"
+                  "id": "gtrends"
+                },
+                {
+                  "id": "epic_cosmos"
                 }
               ]
             },
-            "time_range": [0, 4],
+            "time_range": [
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+              -1
+            ],
             "type": "float",
-            "missing": 0,
-            "mean": 1.845424,
-            "sd": 0.85411,
-            "min": 0,
-            "max": 4
+            "missing": 48,
+            "mean": 78.845873,
+            "sd": 87.133683,
+            "min": 0.729765,
+            "max": 892.857143
           },
           {
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@@ -13272,7 +8701,10 @@
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@@ -13344,7 +8779,10 @@
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@@ -13355,7 +8793,10 @@
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@@ -13366,7 +8807,10 @@
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@@ -13382,7 +8826,10 @@
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@@ -13411,7 +8858,10 @@
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@@ -13433,7 +8883,10 @@
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@@ -13459,7 +8912,10 @@
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@@ -13721,7 +9186,10 @@
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@@ -13757,7 +9228,10 @@
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                 "file": "data.csv.gz"
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@@ -19281,7 +14764,10 @@
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@@ -19302,7 +14788,10 @@
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@@ -19464,7 +14953,10 @@
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@@ -19479,7 +14971,10 @@
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@@ -19839,7 +15340,10 @@
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@@ -20652,7 +16171,10 @@
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@@ -20751,7 +16279,10 @@
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@@ -21001,7 +16532,10 @@
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@@ -24206,7 +19746,10 @@
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@@ -24468,7 +20011,10 @@
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@@ -24811,7 +20366,10 @@
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@@ -24823,7 +20381,10 @@
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@@ -24921,7 +20482,10 @@
                 "file": "data_state_county_age.csv.gz"
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@@ -27775,28 +23339,6 @@
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-          "source_id": "gtrends_heat+stroke",
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-        },
-        "Google Health Trends: Heat Exhaustion": {
-          "source_id": "gtrends_heat+exhaustion",
-          "id": "Google Health Trends: Heat Exhaustion"
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-        "Epic Cosmos": {
-          "source_id": "epic_rate_ed_heat",
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-    },
     "bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|suppressed_heat": {
       "short_name": "Heat value suppressed flag",
       "short_description": "1 if the Epic Cosmos heat-related ED value was suppressed (small count) and imputed, 0 otherwise.",
@@ -27804,45 +23346,6 @@
       "unit": "Binary indicator",
       "id": "bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|suppressed_heat"
     },
-    "bundle_injury_overdose/dist/heat_related_geography_source.parquet|suppressed_heat": {
-      "short_name": "Heat value suppressed flag",
-      "short_description": "1 if the Epic Cosmos heat-related ED value was suppressed (small count) and imputed, 0 otherwise.",
-      "measure_type": "Binary",
-      "unit": "Binary indicator",
-      "id": "bundle_injury_overdose/dist/heat_related_geography_source.parquet|suppressed_heat"
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-    "bundle_injury_overdose/dist/heat_risk.parquet|value": {
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-      "short_name": "Heat risk score",
-      "long_name": "NOAA HeatRisk Mean Score",
-      "category": "heat",
-      "short_description": "Mean daily heat risk score (0-4) aggregated to state (or county) level.",
-      "long_description": "The NOAA Weather Prediction Center HeatRisk product provides a daily heat risk forecast across the contiguous United States on a 0-4 scale: 0 = No Risk, 1 = Minor, 2 = Moderate, 3 = Major, 4 = Extreme. Values represent the risk of heat-related illness to the general population, computed as the area-weighted mean raster pixel value within each geographic boundary.",
-      "measure_type": "Index",
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-      "time_resolution": "Day",
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-      "short_name": "Forecast day",
-      "long_name": "Forecast day offset",
-      "category": "heat",
-      "short_description": "0 = historical archive (observed Day 1); 1-7 = number of days ahead in the current forecast.",
-      "long_description": "Indicates whether a row is historical archive data or part of the current 7-day forecast. A value of 0 marks archive data (the observed Day 1 value for a past date). Values of 1-7 mark rows from the current forecast, where the number is the days ahead of the run date that the value is valid for.",
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@@ -27908,66 +23411,6 @@
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-      "id": "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value",
-      "short_name": "BRFSS prevalence",
-      "long_name": "BRFSS Self-Reported Prevalence",
-      "category": "injury",
-      "short_description": "Self-reported prevalence (%) of the outcome from the CDC BRFSS survey.",
-      "long_description": "Age-stratified, self-reported prevalence of the health outcome named in the outcome_name column, from the CDC Behavioral Risk Factor Surveillance System (BRFSS). The source column identifies the survey source.",
-      "measure_type": "Percent",
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-      "time_resolution": "Year",
-      "sources": [
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-    "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_lcl": {
-      "short_name": "Prevalence lower CI",
-      "short_description": "Lower bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-      "measure_type": "Percent",
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-      "id": "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_lcl"
-    },
-    "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_ucl": {
-      "short_name": "Prevalence upper CI",
-      "short_description": "Upper bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "id": "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_ucl"
-    },
-    "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|value": {
-      "id": "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|value",
-      "short_name": "Epic prevalence",
-      "long_name": "Epic Cosmos Condition Prevalence",
-      "category": "injury",
-      "short_description": "Prevalence of the outcome among Epic Cosmos patients, by geography, age, and year.",
-      "long_description": "Prevalence of the health outcome named in the outcome_name column among patients in the Epic Cosmos database, stratified by geography, age group, and year. The source column identifies the data source.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "time_resolution": "Year",
-      "sources": [
-        {
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-    },
-    "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|pct_captured": {
-      "short_name": "Percent captured",
-      "short_description": "Percentage of the population represented in the Epic Cosmos denominator for this geography.",
-      "measure_type": "Percent",
-      "unit": "%",
-      "id": "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|pct_captured"
-    },
-    "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|sample_size": {
-      "short_name": "Sample size",
-      "short_description": "Number of patients in the Epic Cosmos denominator for this geography, age, and year.",
-      "measure_type": "Count",
-      "unit": "Patients",
-      "id": "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|sample_size"
-    },
     "bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet|race": {
       "short_name": "Race",
       "short_description": "Race category as reported by CDC WISQARS.",
@@ -28223,9 +23666,6 @@
     }
   },
   "change_report": {
-    "brfss_prevalence_by_geography.parquet": {
-      "state": "unchanged"
-    },
     "county_opioid_by_source.parquet": {
       "state": "unchanged"
     },
@@ -28235,9 +23675,6 @@
     "deaths_cause_age.parquet": {
       "state": "unchanged"
     },
-    "epic_prevalence_by_geography_year.parquet": {
-      "state": "unchanged"
-    },
     "firearms_by_demographics.parquet": {
       "state": "unchanged"
     },
@@ -28253,34 +23690,6 @@
     "heat_by_geography_and_source_state_year.parquet": {
       "state": "unchanged"
     },
-    "heat_related_geography_source.parquet": {
-      "state": "unchanged"
-    },
-    "heat_risk.parquet": {
-      "state": "changed",
-      "variables": {
-        "geography": {
-          "status": "present",
-          "same_type": true,
-          "added_levels": [],
-          "dropped_levels": []
-        },
-        "time": {
-          "status": "present",
-          "same_type": true,
-          "added_levels": ["2026-07-27", "2026-07-28", "2026-07-29"],
-          "dropped_levels": ["2026-07-22", "2026-07-23", "2026-07-24"]
-        },
-        "value": {
-          "status": "present",
-          "same_type": true
-        },
-        "forecast_day": {
-          "status": "present",
-          "same_type": true
-        }
-      }
-    },
     "medicaid_injury_overdose.parquet": {
       "state": "unchanged"
     },
diff --git a/data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet b/data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet
deleted file mode 100644
index 6bf0ec244..000000000
Binary files a/data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet and /dev/null differ
diff --git a/data/bundle_injury_overdose/dist/heat_related_geography_source.parquet b/data/bundle_injury_overdose/dist/heat_related_geography_source.parquet
deleted file mode 100644
index fb2abffe4..000000000
Binary files a/data/bundle_injury_overdose/dist/heat_related_geography_source.parquet and /dev/null differ
diff --git a/data/bundle_injury_overdose/measure_info.json b/data/bundle_injury_overdose/measure_info.json
index 2fe638433..04ab72c26 100644
--- a/data/bundle_injury_overdose/measure_info.json
+++ b/data/bundle_injury_overdose/measure_info.json
@@ -305,25 +305,13 @@
       { "id": "epic_cosmos" }
     ]
   },
-  "bundle_injury_overdose/dist/heat_related_geography_source.parquet|source": {
-    "short_name": "Data source",
-    "levels": {
-      "Google Health Trends: Heat Stroke": { "source_id": "gtrends_heat+stroke" },
-      "Google Health Trends: Heat Exhaustion": { "source_id": "gtrends_heat+exhaustion" },
-      "Epic Cosmos": { "source_id": "epic_rate_ed_heat" }
-    }
-  },
-  "bundle_injury_overdose/dist/heat_related_geography_source.parquet|value": {
-    "source_id": "bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|value"
-  },
   "{category}suppressed_heat": {
     "short_name": "Heat value suppressed flag",
     "short_description": "1 if the Epic Cosmos heat-related ED value was suppressed (small count) and imputed, 0 otherwise.",
     "measure_type": "Binary",
     "unit": "Binary indicator",
     "categories": {
-      "bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|": {},
-      "bundle_injury_overdose/dist/heat_related_geography_source.parquet|": {}
+      "bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|": {}
     }
   },
   "bundle_injury_overdose/dist/heat_risk.parquet|value": {
@@ -393,54 +381,6 @@
     "time_resolution": "Year",
     "sources": [{ "id": "medicaid_quality" }]
   },
-  "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value": {
-    "id": "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value",
-    "short_name": "BRFSS prevalence",
-    "long_name": "BRFSS Self-Reported Prevalence",
-    "category": "injury",
-    "short_description": "Self-reported prevalence (%) of the outcome from the CDC BRFSS survey.",
-    "long_description": "Age-stratified, self-reported prevalence of the health outcome named in the outcome_name column, from the CDC Behavioral Risk Factor Surveillance System (BRFSS). The source column identifies the survey source.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [{ "id": "brfss" }]
-  },
-  "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_lcl": {
-    "short_name": "Prevalence lower CI",
-    "short_description": "Lower bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-    "measure_type": "Percent",
-    "unit": "%"
-  },
-  "bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet|value_ucl": {
-    "short_name": "Prevalence upper CI",
-    "short_description": "Upper bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-    "measure_type": "Percent",
-    "unit": "%"
-  },
-  "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|value": {
-    "id": "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|value",
-    "short_name": "Epic prevalence",
-    "long_name": "Epic Cosmos Condition Prevalence",
-    "category": "injury",
-    "short_description": "Prevalence of the outcome among Epic Cosmos patients, by geography, age, and year.",
-    "long_description": "Prevalence of the health outcome named in the outcome_name column among patients in the Epic Cosmos database, stratified by geography, age group, and year. The source column identifies the data source.",
-    "measure_type": "Percent",
-    "unit": "%",
-    "time_resolution": "Year",
-    "sources": [{ "id": "epic_cosmos" }]
-  },
-  "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|pct_captured": {
-    "short_name": "Percent captured",
-    "short_description": "Percentage of the population represented in the Epic Cosmos denominator for this geography.",
-    "measure_type": "Percent",
-    "unit": "%"
-  },
-  "bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet|sample_size": {
-    "short_name": "Sample size",
-    "short_description": "Number of patients in the Epic Cosmos denominator for this geography, age, and year.",
-    "measure_type": "Count",
-    "unit": "Patients"
-  },
   "{category}race": {
     "short_name": "Race",
     "short_description": "Race category as reported by CDC WISQARS.",
@@ -574,21 +514,6 @@
         "sources": ["medicaid_quality"],
         "source_files": ["medicaid_quality/standard/data.csv.gz"]
       },
-      "brfss_prevalence_by_geography.parquet": {
-        "sources": ["brfss"],
-        "source_files": ["brfss/standard/data.csv.gz"]
-      },
-      "epic_prevalence_by_geography_year.parquet": {
-        "sources": ["epic_chronic"],
-        "source_files": ["epic_chronic/standard/state_year.csv.gz"]
-      },
-      "heat_related_geography_source.parquet": {
-        "sources": ["epic_injury", "gtrends"],
-        "source_files": [
-          "gtrends/standard/data_year.csv.gz",
-          "epic_injury/standard/yearly_injury.csv.gz"
-        ]
-      },
       "heat_risk.parquet": {
         "sources": ["noaa_heat_risk"],
         "source_files": ["noaa_heat_risk/standard/data_state.csv.gz"]
diff --git a/data/bundle_injury_overdose/process.json b/data/bundle_injury_overdose/process.json
index 3e663a2bc..41d758ac5 100644
--- a/data/bundle_injury_overdose/process.json
+++ b/data/bundle_injury_overdose/process.json
@@ -159,65 +159,139 @@
       }
     }
   ],
-  "source_files": [
-    "epic/standard/state_no_time.csv.gz",
-    "brfss/standard/data.csv.gz",
-    "cms_mmd/standard/data_state_county_age.csv.gz",
-    "nchs_mortality/standard/data.csv.gz",
-    "nchs_mortality/standard/data_county.csv.gz",
-    "wisqars/standard/data.csv.gz"
-  ],
+  "source_files": {
+    "wisqars/standard/data.csv.gz": [
+      "deaths_cause_age.parquet",
+      "deaths_cause_age_demographics.parquet",
+      "overdose_by_demographics.parquet",
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet",
+      "firearms_by_demographics.parquet",
+      "firearms_geography_source.parquet",
+      "firearms_by_geography_and_source_state_year.parquet"
+    ],
+    "cms_mmd/standard/data_state_county_age.csv.gz": [
+      "county_opioid_by_source.parquet",
+      "state_opioid_by_source.parquet",
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet"
+    ],
+    "nchs_mortality/standard/data.csv.gz": [
+      "overdose_deaths_state.parquet",
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet"
+    ],
+    "nchs_mortality/standard/data_county.csv.gz": [
+      "overdose_deaths_county.parquet",
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet"
+    ],
+    "gtrends/standard/data_year.csv.gz": [
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet",
+      "firearms_geography_source.parquet",
+      "firearms_by_geography_and_source_state_year.parquet",
+      "heat_by_geography_and_source_state_year.parquet"
+    ],
+    "epic_injury/standard/monthly_injury.csv.gz": [
+      "overdose_by_geography_and_source.parquet",
+      "overdose_by_geography_and_source_county.parquet",
+      "overdose_by_geography_and_source_state_year.parquet",
+      "firearms_geography_source.parquet"
+    ],
+    "epic_injury/standard/yearly_injury.csv.gz": [
+      "firearms_by_geography_and_source_state_year.parquet",
+      "heat_by_geography_and_source_state_year.parquet"
+    ],
+    "medicaid_quality/standard/data.csv.gz": [
+      "medicaid_injury_overdose.parquet"
+    ],
+    "gtrends/standard/data_dma_year.csv.gz": [
+      "google_dma.parquet"
+    ]
+  },
   "checked": "2026-07-24 19:27:23",
   "check_results": {
-    "data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet": {
-      "measures": ["missing_info: year", "missing_info: age", "missing_info: source", "missing_info: outcome_name"]
-    },
     "data/bundle_injury_overdose/dist/county_opioid_by_source.parquet": {
       "measures": "missing_info: year"
     },
     "data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet": {
-      "measures": ["missing_info: year", "missing_info: age", "missing_info: sex"]
+      "measures": [
+        "missing_info: year",
+        "missing_info: age",
+        "missing_info: sex"
+      ]
     },
     "data/bundle_injury_overdose/dist/deaths_cause_age.parquet": {
-      "measures": ["missing_info: year", "missing_info: age"]
-    },
-    "data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet": {
-      "measures": ["missing_info: fips", "missing_info: age", "missing_info: year", "missing_info: outcome_name", "missing_info: source"]
+      "measures": [
+        "missing_info: year",
+        "missing_info: age"
+      ]
     },
     "data/bundle_injury_overdose/dist/firearms_by_demographics.parquet": {
-      "measures": ["missing_info: age", "missing_info: sex"]
+      "measures": [
+        "missing_info: age",
+        "missing_info: sex"
+      ]
     },
     "data/bundle_injury_overdose/dist/firearms_by_geography_and_source_state_year.parquet": {
-      "measures": ["missing_info: age", "missing_info: year"]
+      "measures": [
+        "missing_info: age",
+        "missing_info: year"
+      ]
     },
     "data/bundle_injury_overdose/dist/firearms_geography_source.parquet": {
       "measures": "missing_info: age"
     },
     "data/bundle_injury_overdose/dist/google_dma.parquet": {
-      "measures": ["missing_info: fips", "missing_info: date"]
+      "measures": [
+        "missing_info: fips",
+        "missing_info: date"
+      ]
     },
     "data/bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet": {
-      "measures": ["missing_info: year", "missing_info: age"]
+      "measures": [
+        "missing_info: year",
+        "missing_info: age"
+      ]
     },
-    "data/bundle_injury_overdose/dist/heat_related_geography_source.parquet": {
-      "measures": "missing_info: age"
-    },
-    "data/bundle_injury_overdose/dist/heat_risk.parquet": [],
     "data/bundle_injury_overdose/dist/medicaid_injury_overdose.parquet": {
-      "measures": ["missing_info: year", "missing_info: age", "missing_info: sex", "missing_info: race_ethnicity"]
+      "measures": [
+        "missing_info: year",
+        "missing_info: age",
+        "missing_info: sex",
+        "missing_info: race_ethnicity"
+      ]
     },
     "data/bundle_injury_overdose/dist/overdose_by_demographics.parquet": {
-      "measures": ["missing_info: age", "missing_info: sex"]
+      "measures": [
+        "missing_info: age",
+        "missing_info: sex"
+      ]
     },
     "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet": {
       "data": "geography_nas",
-      "measures": ["missing_info: date", "missing_info: age"]
+      "measures": [
+        "missing_info: date",
+        "missing_info: age"
+      ]
     },
     "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_state_year.parquet": {
-      "measures": ["missing_info: age", "missing_info: year"]
+      "measures": [
+        "missing_info: age",
+        "missing_info: year"
+      ]
     },
     "data/bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet": {
-      "measures": ["missing_info: date", "missing_info: age"]
+      "measures": [
+        "missing_info: date",
+        "missing_info: age"
+      ]
     },
     "data/bundle_injury_overdose/dist/overdose_deaths_county.parquet": [],
     "data/bundle_injury_overdose/dist/overdose_deaths_state.parquet": {
@@ -228,18 +302,14 @@
     }
   },
   "dist_state": {
-    "./data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet": "05dd664886542c09f3c857586955315f",
     "./data/bundle_injury_overdose/dist/county_opioid_by_source.parquet": "1e93c5d377bd6c8f4d5e0d6f02a18220",
     "./data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet": "abdb4e3d6a88bb69ee17e3f1744d7738",
     "./data/bundle_injury_overdose/dist/deaths_cause_age.parquet": "b030f2532bc8251ef091a229466b9d8e",
-    "./data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet": "50273d881ec4e84be00167180c0c63c1",
     "./data/bundle_injury_overdose/dist/firearms_by_demographics.parquet": "f24c00a636773fbdf929a98b8baa3a2c",
     "./data/bundle_injury_overdose/dist/firearms_by_geography_and_source_state_year.parquet": "ec3bcf2a1edf1eef84e16eba9da4aee8",
     "./data/bundle_injury_overdose/dist/firearms_geography_source.parquet": "8c28071dd778958bdb40610023d2725d",
     "./data/bundle_injury_overdose/dist/google_dma.parquet": "9748c5fc339f4bc9c6410e726935e075",
     "./data/bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet": "24dc51e224b944d48be99b439de51489",
-    "./data/bundle_injury_overdose/dist/heat_related_geography_source.parquet": "347f3ae467887e916e1b3e1edca50aff",
-    "./data/bundle_injury_overdose/dist/heat_risk.parquet": "f36fa7de6249e8bdaaac2a5f56cbce45",
     "./data/bundle_injury_overdose/dist/medicaid_injury_overdose.parquet": "bf80e4cef9d51550878ee738b17c8ae5",
     "./data/bundle_injury_overdose/dist/overdose_by_demographics.parquet": "b242a0cccf78063e6ea1eae801c70b20",
     "./data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet": "8c5b33836f14bd5b977fa40d2192380c",
@@ -252,21 +322,5 @@
     "./data/cms_mmd/standard/datapackage.json": "f6ae03d00dc049e032d4d07495f785c3",
     "./data/nchs_mortality/standard/datapackage.json": "a1e6636094bcba1dd8d813894df4f7e4",
     "./data/wisqars/standard/datapackage.json": "bd77432123a4ec8e6ba8c170afe193c3"
-  },
-  "standard_state": {
-    "./data/epic/standard/state_no_time.csv.gz": {},
-    "./data/brfss/standard/data.csv.gz": "03391818a9dba46c0eb86e17862527cf",
-    "./data/cms_mmd/standard/data_state_county_age.csv.gz": "88a800cf35c871a0c29f8908805e45bf",
-    "./data/nchs_mortality/standard/data.csv.gz": "9e156829ea1333e564864ee580ea09bb",
-    "./data/nchs_mortality/standard/data_county.csv.gz": "746c4a5a344cc6069123014bdf737a85",
-    "./data/wisqars/standard/data.csv.gz": "3eeefa7917a4d77c704820f78df94590"
-  },
-  "source_state": {
-    "./data/epic/standard/state_no_time.csv.gz": {},
-    "./data/brfss/standard/data.csv.gz": "254cddbd431a47b1ee6620a3cbf0cf4a",
-    "./data/cms_mmd/standard/data_state_county_age.csv.gz": "88a800cf35c871a0c29f8908805e45bf",
-    "./data/nchs_mortality/standard/data.csv.gz": "9e156829ea1333e564864ee580ea09bb",
-    "./data/nchs_mortality/standard/data_county.csv.gz": "746c4a5a344cc6069123014bdf737a85",
-    "./data/wisqars/standard/data.csv.gz": "3eeefa7917a4d77c704820f78df94590"
   }
 }
diff --git a/data/bundle_maternal_health/process.json b/data/bundle_maternal_health/process.json
index 9b9e8a0c0..0972ec88b 100644
--- a/data/bundle_maternal_health/process.json
+++ b/data/bundle_maternal_health/process.json
@@ -9,12 +9,38 @@
       "frequency": 0,
       "run_time": 4.467,
       "last_status": {
-        "log": ["bundle_maternal_health:", "  maternal_state.parquet     : 4851 rows, 12 measures, 53 geographies", "  maternal_county.parquet    : 157603 rows, 5 measures, 3237 geographies", "  maternal_mortality.parquet : 687 rows, 4 age groups, 7 race/ethnicity groups", "  state measures: birth_rate, child_mortality, infant_mortality, low_birth_weight, medicaid_contraceptive_postpartum_adult, medicaid_contraceptive_postpartum_child, medicaid_first_prenatal_visit, medicaid_low_birthweight, medicaid_low_birthweight_risk_adjusted, medicaid_prenatal_postpartum_care_adult, medicaid_prenatal_postpartum_care_child, teen_birth_rate", "  county measures: birth_rate, child_mortality, infant_mortality, low_birth_weight, teen_birth_rate"],
+        "log": [
+          "bundle_maternal_health:",
+          "  maternal_state.parquet     : 4851 rows, 12 measures, 53 geographies",
+          "  maternal_county.parquet    : 157603 rows, 5 measures, 3237 geographies",
+          "  maternal_mortality.parquet : 687 rows, 4 age groups, 7 race/ethnicity groups",
+          "  state measures: birth_rate, child_mortality, infant_mortality, low_birth_weight, medicaid_contraceptive_postpartum_adult, medicaid_contraceptive_postpartum_child, medicaid_first_prenatal_visit, medicaid_low_birthweight, medicaid_low_birthweight_risk_adjusted, medicaid_prenatal_postpartum_care_adult, medicaid_prenatal_postpartum_care_child, teen_birth_rate",
+          "  county measures: birth_rate, child_mortality, infant_mortality, low_birth_weight, teen_birth_rate"
+        ],
         "success": true
       }
     }
   ],
-  "source_files": {},
+  "source_files": {
+    "census/standard/data_state.csv.gz": [
+      "maternal_state.parquet"
+    ],
+    "census/standard/data_county.csv.gz": [
+      "maternal_county.parquet"
+    ],
+    "county_health_rankings/standard/data_state.csv.gz": [
+      "maternal_state.parquet"
+    ],
+    "county_health_rankings/standard/data_county.csv.gz": [
+      "maternal_county.parquet"
+    ],
+    "medicaid_quality/standard/data.csv.gz": [
+      "maternal_state.parquet"
+    ],
+    "cdc_vssr/standard/data.csv.gz": [
+      "maternal_mortality.parquet"
+    ]
+  },
   "dist_state": {
     "./data/bundle_maternal_health/dist/maternal_county.parquet": "85e9ea01cc3cc561e36740c783e2e63d",
     "./data/bundle_maternal_health/dist/maternal_mortality.parquet": "35c6178989ca0e58b0fc5a122bfdbaaf",
diff --git a/data/bundle_measles/dist/datapackage.json b/data/bundle_measles/dist/datapackage.json
index 66f73477d..2324d1188 100644
--- a/data/bundle_measles/dist/datapackage.json
+++ b/data/bundle_measles/dist/datapackage.json
@@ -224,7 +224,10 @@
               "short_name": "Geography (national)",
               "short_description": "Geographic identifier. This file is national only; geography always holds the value 'United States'."
             },
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -235,7 +238,10 @@
             "name": "date",
             "duplicates": 1485,
             "info": [],
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -318,7 +324,10 @@
             "name": "year",
             "duplicates": 1556,
             "info": [],
-            "time_range": [-1, -1],
+            "time_range": [
+              -1,
+              -1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 2025.376123,
@@ -330,7 +339,10 @@
             "name": "week",
             "duplicates": 1507,
             "info": [],
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deleted file mode 100644
index dbf872177..000000000
Binary files a/data/bundle_measles/dist/measles_imported_indigenous.parquet and /dev/null differ
diff --git a/data/bundle_measles/measure_info.json b/data/bundle_measles/measure_info.json
index 6f492c227..865249aeb 100644
--- a/data/bundle_measles/measure_info.json
+++ b/data/bundle_measles/measure_info.json
@@ -158,24 +158,6 @@
       { "id": "wapo_school_vax" }
     ]
   },
-  "bundle_measles/dist/measles_imported_indigenous.parquet|source": {
-    "levels": {
-      "measles_imported": { "source_id": "measles_imported" },
-      "measles_indigenous": { "source_id": "measles_indigenous" }
-    }
-  },
-  "bundle_measles/dist/measles_imported_indigenous.parquet|value": {
-    "id": "bundle_measles/dist/measles_imported_indigenous.parquet|value",
-    "short_name": "Measles cases by importation status",
-    "long_name": "Cumulative year-to-date measles cases by importation status (State/National)",
-    "category": "immunization",
-    "short_description": "Cumulative year-to-date count of measles cases classified as imported or indigenous, by state or nationally.",
-    "long_description": "State- and national-level cumulative year-to-date counts of measles cases from the National Notifiable Diseases Surveillance System (NNDSS), classified as imported (exposure occurred outside the US) or indigenous (domestically acquired). The source column identifies which classification the value represents. new_value gives the count newly reported for that MMWR week (the difference from the prior week's cumulative count, reset at the start of each year).",
-    "measure_type": "Cumulative Count",
-    "unit": "Cumulative cases",
-    "time_resolution": "Week",
-    "sources": [{ "id": "nnds" }]
-  },
   "bundle_measles/dist/measles_cases_by_age.parquet|value": {
     "id": "bundle_measles/dist/measles_cases_by_age.parquet|value",
     "short_name": "Measles case/hospitalization count",
diff --git a/data/bundle_measles/process.json b/data/bundle_measles/process.json
index 2cc2bae05..ae10012c7 100644
--- a/data/bundle_measles/process.json
+++ b/data/bundle_measles/process.json
@@ -16,31 +16,39 @@
   ],
   "source_files": {
     "wastewater_measles/standard/data.csv.gz": [
-      "measles_overall_trends.parquet",
-      "measles_overall_trends.csv.gz",
-      "measles_geographic_summary.parquet",
-      "measles_geographic_summary.csv.gz",
-      "measles_detection_status.parquet",
-      "measles_detection_status.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
+      "measles_state.parquet"
     ],
-    "vaccine_exemptions_kiang/standard/data.csv.gz": [
-      "measles_exemptions_trends.parquet",
-      "measles_exemptions_trends.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
+    "vaccine_exemptions_fattah/standard/data.csv.gz": [
+      "measles_state.parquet"
     ],
-    "schoolvaxview/standard/data_wapo_counties.csv.gz": [
-      "measles_wapo_counties.parquet",
-      "measles_wapo_counties.csv.gz",
-      "measles_wapo_counties_with_cases.parquet",
-      "measles_wapo_counties_with_cases.csv.gz"
+    "measles_jhu/standard/data_state.csv.gz": [
+      "measles_state.parquet"
     ],
-    "schoolvaxview/standard/data_wapo_schools.csv.gz": [
-      "measles_wapo_schools.parquet",
-      "measles_wapo_schools.csv.gz"
+    "mmr_healthmap/standard/data_state.csv.gz": [
+      "measles_state.parquet"
     ],
+    "measles_cdc/standard/data.csv.gz": [
+      "measles_state.parquet"
+    ],
+    "nnds/standard/data.csv.gz": [
+      "measles_state.parquet"
+    ],
+    "measles_jhu/standard/data_county.csv.gz": [
+      "measles_county.parquet"
+    ],
+    "mmr_healthmap/standard/data_county.csv.gz": [
+      "measles_county.parquet"
+    ],
+    "vaccine_exemptions_fattah/standard/data_county.csv.gz": [
+      "measles_county.parquet"
+    ],
+    "schoolvax_washpost/standard/data_counties.csv.gz": [
+      "measles_county.parquet"
+    ],
+    "wastewater_measles/standard/data_county.csv.gz": [
+      "measles_county.parquet"
+    ],
+    "schoolvax_washpost/standard/data_schools.csv.gz": [],
     "measles_age_cdc2/standard/data.csv.gz": [
       "measles_cases_by_age.parquet"
     ]
@@ -48,41 +56,34 @@
   "dist_state": {
     "./data/bundle_measles/dist/measles_cases_by_age.parquet": "6b64a33b71426e39b727fd38cfed8904",
     "./data/bundle_measles/dist/measles_county.parquet": "321c0bd40c78ce7074230fae543a1960",
-    "./data/bundle_measles/dist/measles_imported_indigenous.parquet": "5c531d46a4c85726fdf20a81877bdce3",
     "./data/bundle_measles/dist/measles_state.parquet": "357bdc579b73b7666aed2f59adf0887d",
     "./data/wastewater_measles/standard/datapackage.json": "c0546eae4f16e8ad309fb32caf7f2075",
     "./data/schoolvaxview/standard/datapackage.json": "c579b7c395f008894bd2cd7c10657062",
     "./data/measles_age_cdc2/standard/datapackage.json": "d9436f0c2e60e5986bce8164f9620d4b"
   },
-  "standard_state": {
-    "./data/wastewater_measles/standard/data.csv.gz": "c89045d314729e80d4010f59489cac84",
-    "./data/vaccine_exemptions_kiang/standard/data.csv.gz": {},
-    "./data/schoolvaxview/standard/data_wapo_counties.csv.gz": {},
-    "./data/schoolvaxview/standard/data_wapo_schools.csv.gz": {},
-    "./data/measles_age_cdc2/standard/data.csv.gz": "b4b70bd73586529417cc3b0f9fc3efdd"
-  },
   "checked": "2026-07-24 19:27:24",
   "check_results": {
     "data/bundle_measles/dist/measles_cases_by_age.parquet": {
-      "measures": ["missing_info: date", "missing_info: year", "missing_info: week"]
+      "measures": [
+        "missing_info: date",
+        "missing_info: year",
+        "missing_info: week"
+      ]
     },
     "data/bundle_measles/dist/measles_county.parquet": {
-      "measures": ["missing_info: date", "missing_info: year", "missing_info: week"]
-    },
-    "data/bundle_measles/dist/measles_imported_indigenous.parquet": {
-      "measures": ["missing_info: date", "missing_info: year", "missing_info: week", "missing_info: new_value"]
+      "measures": [
+        "missing_info: date",
+        "missing_info: year",
+        "missing_info: week"
+      ]
     },
     "data/bundle_measles/dist/measles_state.parquet": {
       "data": "geography_nas",
-      "measures": ["missing_info: date", "missing_info: year", "missing_info: week"]
+      "measures": [
+        "missing_info: date",
+        "missing_info: year",
+        "missing_info: week"
+      ]
     }
-  },
-  "raw_state": 1772813676,
-  "source_state": {
-    "./data/wastewater_measles/standard/data.csv.gz": "6f510399c7a3118f20f180e303e6270d",
-    "./data/vaccine_exemptions_kiang/standard/data.csv.gz": {},
-    "./data/schoolvaxview/standard/data_wapo_counties.csv.gz": {},
-    "./data/schoolvaxview/standard/data_wapo_schools.csv.gz": {},
-    "./data/measles_age_cdc2/standard/data.csv.gz": "e758f4752d45590f0671ce12f24838cb"
   }
 }
diff --git a/data/bundle_preventative_services/process.json b/data/bundle_preventative_services/process.json
index c895071dd..c2a66fafe 100644
--- a/data/bundle_preventative_services/process.json
+++ b/data/bundle_preventative_services/process.json
@@ -79,6 +79,22 @@
       }
     }
   ],
+  "source_files": {
+    "medicaid_quality/standard/data.csv.gz": [
+      "medicaid_preventative_services.parquet",
+      "combined_preventative_services.parquet"
+    ],
+    "cms_mmd/standard/data_state_county_age.csv.gz": [
+      "cms_preventative_services_state.parquet",
+      "combined_preventative_services.parquet"
+    ],
+    "cms_mmd/standard/data_state_county_age_by_sex.csv.gz": [
+      "cms_preventative_services_by_sex.parquet"
+    ],
+    "cms_mmd/standard/data_state_county_age_by_race.csv.gz": [
+      "cms_preventative_services_by_race.parquet"
+    ]
+  },
   "checked": "2026-07-13 13:19:45",
   "check_results": {
     "data/bundle_preventative_services/dist/cms_preventative_services_by_race.parquet": [],
diff --git a/data/bundle_respiratory/process.json b/data/bundle_respiratory/process.json
index 31028653d..5a19c5eec 100644
--- a/data/bundle_respiratory/process.json
+++ b/data/bundle_respiratory/process.json
@@ -15,55 +15,82 @@
     }
   ],
   "source_files": {
-    "epic/standard/weekly.csv.gz": [
-      "covid_overall_trends.parquet",
-      "flu_overall_trends.parquet",
+    "epic_resp_infections/standard/weekly.csv.gz": [
       "rsv_overall_trends.parquet",
-      "covid_trends_by_age.parquet",
-      "flu_trends_by_age.parquet",
+      "flu_overall_trends.parquet",
+      "covid_overall_trends.parquet",
       "rsv_trends_by_age.parquet",
+      "flu_trends_by_age.parquet",
+      "covid_trends_by_age.parquet"
+    ],
+    "epic_resp_infections/standard/monthly_tests.csv.gz": [
       "rsv_testing_pct.parquet"
     ],
     "gtrends/standard/data.csv.gz": [
-      "rsv_overall_trends.parquet",
-      "rsv_google_dma.parquet"
-    ],
-    "wastewater/standard/data.csv.gz": [
-      "covid_overall_trends.parquet",
-      "flu_overall_trends.parquet",
       "rsv_overall_trends.parquet"
     ],
-    "abcs/standard/data.csv.gz": [
-      "pneumococcus_by_geography.parquet",
-      "pneumococcus_serotype_trends.parquet",
-      "pneumococcus_comparison.parquet"
-    ],
-    "abcs/standard/uad.csv.gz": [
-      "pneumococcus_comparison.parquet"
-    ],
-    "NREVSS/standard/data.csv.gz": [
-      "rsv_positive_tests.parquet"
+    "gtrends/standard/data_dma.csv.gz": [
+      "rsv_google_dma.parquet"
     ],
     "nssp/standard/data.csv.gz": [
-      "covid_overall_trends.parquet",
+      "rsv_overall_trends.parquet",
       "flu_overall_trends.parquet",
-      "rsv_overall_trends.parquet"
+      "covid_overall_trends.parquet",
+      "rsv_ed_visits_by_county.parquet",
+      "flu_ed_visits_by_county.parquet",
+      "covid_ed_visits_by_county.parquet"
     ],
     "respnet/standard/data.csv.gz": [
+      "rsv_overall_trends.parquet",
+      "flu_overall_trends.parquet",
       "covid_overall_trends.parquet",
+      "rsv_trends_by_age.parquet",
+      "flu_trends_by_age.parquet",
+      "covid_trends_by_age.parquet"
+    ],
+    "wastewater/standard/data.csv.gz": [
+      "rsv_overall_trends.parquet",
       "flu_overall_trends.parquet",
-      "rsv_overall_trends.parquet"
+      "covid_overall_trends.parquet"
     ],
-    "delphi_doctors_claims/data.csv.gz": [
+    "delphi_doctors_claims/standard/data.csv.gz": [
       "covid_overall_trends.parquet"
     ],
-    "delphi_hospital_claims/data.csv.gz": [
+    "delphi_hospital_claims/standard/data.csv.gz": [
+      "flu_overall_trends.parquet",
       "covid_overall_trends.parquet"
     ],
-    "delphi_nhsn/data.csv.gz": [
-      "covid_overall_trends.parquet",
+    "delphi_nhsn/standard/data.csv.gz": [
+      "rsv_overall_trends.parquet",
       "flu_overall_trends.parquet",
-      "rsv_overall_trends.parquet"
+      "covid_overall_trends.parquet"
+    ],
+    "delphi_ili_fluview/standard/data.csv.gz": [
+      "flu_overall_trends.parquet"
+    ],
+    "kinsa_ili/standard/data.csv.gz": [
+      "flu_overall_trends.parquet"
+    ],
+    "NREVSS/standard/data.csv.gz": [
+      "rsv_positive_tests.parquet"
+    ],
+    "abcs/standard/data.csv.gz": [
+      "pneumococcus_serotype_trends.parquet",
+      "pneumococcus_by_geography.parquet",
+      "pneumococcus_by_geography_year.parquet",
+      "pneumococcus_comparison.parquet"
+    ],
+    "abcs/standard/uad.csv.gz": [
+      "pneumococcus_comparison.parquet"
+    ],
+    "cdc_cfa_rt/standard/data.csv.gz": [
+      "other_measures_trends.parquet"
+    ],
+    "nchs_mortality/standard/data_state_21_causes.csv.gz": [
+      "other_measures_trends.parquet"
+    ],
+    "nnds/standard/data.csv.gz": [
+      "other_measures_trends.parquet"
     ]
   },
   "dist_state": {
@@ -91,19 +118,6 @@
     "./data/nssp/standard/datapackage.json": "62d26635b3f1b725645c071b468b3aeb",
     "./data/respnet/standard/datapackage.json": "23c8783f46f785d4ec40e6c856fe8465"
   },
-  "standard_state": {
-    "./data/epic/standard/weekly.csv.gz": {},
-    "./data/gtrends/standard/data.csv.gz": "00d5b9aa3ea4454efd475b4cb6e79609",
-    "./data/wastewater/standard/data.csv.gz": "eba76dc64001e9213431ae6313ec0418",
-    "./data/abcs/standard/data.csv.gz": "d981be4e20932bc07480efa99196d903",
-    "./data/abcs/standard/uad.csv.gz": "345f174b35f74d44ab6072bdc5d60ec3",
-    "./data/NREVSS/standard/data.csv.gz": "ee7b2144feca04c6dcdb10f562ceee69",
-    "./data/nssp/standard/data.csv.gz": "5a20a5af64ac941b0aac5317519600c8",
-    "./data/respnet/standard/data.csv.gz": "0de833debd196df0b29231508643d9cd",
-    "./data/delphi_doctors_claims/data.csv.gz": {},
-    "./data/delphi_hospital_claims/data.csv.gz": {},
-    "./data/delphi_nhsn/data.csv.gz": {}
-  },
   "checked": "2026-07-24 19:27:24",
   "check_results": {
     "data/bundle_respiratory/dist/covid_ed_visits_by_county.parquet": {
@@ -196,18 +210,5 @@
         "missing_info: age"
       ]
     }
-  },
-  "source_state": {
-    "./data/epic/standard/weekly.csv.gz": null,
-    "./data/gtrends/standard/data.csv.gz": "45add8d9128385a4adf0dd0206cb7ff9",
-    "./data/wastewater/standard/data.csv.gz": "5319c95b993b130056efabce503e5294",
-    "./data/abcs/standard/data.csv.gz": "d981be4e20932bc07480efa99196d903",
-    "./data/abcs/standard/uad.csv.gz": "345f174b35f74d44ab6072bdc5d60ec3",
-    "./data/NREVSS/standard/data.csv.gz": "1c773b3175613ff78fcd478e21cac289",
-    "./data/nssp/standard/data.csv.gz": "58b74dcfdcca44b2850babe1c3dcc28f",
-    "./data/respnet/standard/data.csv.gz": "44192ebdf8bcd74d2efd10dd28a68ee8",
-    "./data/delphi_doctors_claims/data.csv.gz": null,
-    "./data/delphi_hospital_claims/data.csv.gz": null,
-    "./data/delphi_nhsn/data.csv.gz": null
   }
 }
diff --git a/data/bundle_youth_wellbeing/process.json b/data/bundle_youth_wellbeing/process.json
index e2565276c..6e73469ec 100644
--- a/data/bundle_youth_wellbeing/process.json
+++ b/data/bundle_youth_wellbeing/process.json
@@ -9,11 +9,93 @@
       "frequency": 0,
       "run_time": 20.99,
       "last_status": {
-        "log": ["── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──", "✔ dplyr     1.2.1     ✔ readr     2.2.0", "✔ forcats   1.0.1     ✔ stringr   1.6.0", "✔ ggplot2   4.0.3     ✔ tibble    3.3.1", "✔ lubridate 1.9.5     ✔ tidyr     1.3.2", "✔ purrr     1.2.2     ", "── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──", "✖ dplyr::filter() masks stats::filter()", "✖ dplyr::lag()    masks stats::lag()", "ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors", "", "Attaching package: 'arrow'", "", "The following object is masked from 'package:lubridate':", "", "    duration", "", "The following object is masked from 'package:utils':", "", "    timestamp", ""],
+        "log": [
+          "── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──",
+          "✔ dplyr     1.2.1     ✔ readr     2.2.0",
+          "✔ forcats   1.0.1     ✔ stringr   1.6.0",
+          "✔ ggplot2   4.0.3     ✔ tibble    3.3.1",
+          "✔ lubridate 1.9.5     ✔ tidyr     1.3.2",
+          "✔ purrr     1.2.2     ",
+          "── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──",
+          "✖ dplyr::filter() masks stats::filter()",
+          "✖ dplyr::lag()    masks stats::lag()",
+          "ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors",
+          "",
+          "Attaching package: 'arrow'",
+          "",
+          "The following object is masked from 'package:lubridate':",
+          "",
+          "    duration",
+          "",
+          "The following object is masked from 'package:utils':",
+          "",
+          "    timestamp",
+          ""
+        ],
         "success": true
       }
     }
   ],
+  "source_files": {
+    "wisqars/standard/data.csv.gz": [
+      "wisqars_state_age_demographics.parquet"
+    ],
+    "nhtsa_crash/standard/data_age_sex.csv.gz": [
+      "nhtsa_state_age_sex.parquet",
+      "nhtsa_county_age_sex.parquet"
+    ],
+    "yrbss/standard/data_age.csv.gz": [
+      "yrbss_state_age_demographics.parquet"
+    ],
+    "yrbss/standard/data_age_sex.csv.gz": [
+      "yrbss_state_age_demographics.parquet"
+    ],
+    "yrbss/standard/data_age_ethnicity.csv.gz": [
+      "yrbss_state_age_demographics.parquet"
+    ],
+    "epic_injury/standard/yearly_injury.csv.gz": [
+      "epic_injury_state_age_year.parquet"
+    ],
+    "epic_injury/standard/monthly_injury.csv.gz": [
+      "epic_injury_state_age_month.parquet"
+    ],
+    "epic_chronic/standard/state_year.csv.gz": [
+      "epic_chronic_state_age.parquet"
+    ],
+    "epic_chronic/standard/county_year.csv.gz": [
+      "epic_chronic_county_age.parquet"
+    ],
+    "medicaid_quality/standard/data.csv.gz": [
+      "medicaid_state_payer.parquet"
+    ],
+    "county_health_rankings/standard/data_state.csv.gz": [
+      "chr_state.parquet"
+    ],
+    "county_health_rankings/standard/data_county.csv.gz": [
+      "chr_county.parquet"
+    ],
+    "noaa_heat_risk/standard/data_state.csv.gz": [
+      "noaa_heat_risk_state.parquet"
+    ],
+    "noaa_heat_risk/standard/data_county.csv.gz": [
+      "noaa_heat_risk_county.parquet"
+    ],
+    "neiss/standard/data_agegroup_product.csv.gz": [
+      "neiss_product_age_sex_year.parquet"
+    ],
+    "neiss/standard/data_infant_product.csv.gz": [
+      "neiss_product_age_sex_year.parquet"
+    ],
+    "neiss/standard/data_agegroup_diagnosis.csv.gz": [
+      "neiss_diagnosis_age_sex_year.parquet"
+    ],
+    "neiss/standard/data_infant_diagnosis.csv.gz": [
+      "neiss_diagnosis_age_sex_year.parquet"
+    ],
+    "bundle_childhood_immunizations/dist/overall_rates_by_source.parquet": [
+      "immunizations_state_age_vaccine.parquet"
+    ]
+  },
   "checked": "2026-07-13 13:19:46",
   "check_results": {
     "data/bundle_youth_wellbeing/dist/cms_youth_wellbeing_by_race.parquet": [],
diff --git a/data/census/ingest.R b/data/census/ingest.R
index bc8b50e36..9e75c7939 100644
--- a/data/census/ingest.R
+++ b/data/census/ingest.R
@@ -2,8 +2,7 @@
 # Census ACS 5-Year SDOH Data Ingestion
 # Source: U.S. Census Bureau American Community Survey 5-Year Estimates
 # Indicators adapted from the Metopio SDOH framework, with code courtesy of Heather Blonsky
-#Due to the large size of the ZCTA-level files, the standard file is saved in a parquet directory.
-#It can be read into memory using arrow::open_dataset("standard/data_zcta") %>% collect(). You can insert a filter as needed prior to collect()
+#Due to the large size of the ZCTA-level data, it is split across several files by vintage year (see Outputs below).
 #
 # Outputs:
 #   standard/data_state.csv.gz        -- 2-digit FIPS, vintage years 2019 to latest available
@@ -40,11 +39,8 @@ api_key <- Sys.getenv("CENSUS_API_KEY")
 # -----------------------------------------------------------------------------
 # Initialize process record
 # -----------------------------------------------------------------------------
-if (!file.exists("process.json")) {
-  process <- list(last_vintage_year = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# process.json is created by dcf::dcf_add_source()
+process <- dcf::dcf_process_record()
 
 # -----------------------------------------------------------------------------
 # Configuration
diff --git a/data/census/process.json b/data/census/process.json
index f8a91681b..9ae62a35f 100644
--- a/data/census/process.json
+++ b/data/census/process.json
@@ -32,9 +32,6 @@
   "check_results": {
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diff --git a/data/census/standard/data_zcta_2019_2020.csv-MWMJ0G3P8D.gz b/data/census/standard/data_zcta_2019_2020.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index a8e0f89ff..000000000
Binary files a/data/census/standard/data_zcta_2019_2020.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/census/standard/datapackage.json b/data/census/standard/datapackage.json
index e4c014f34..3045f2e6a 100644
--- a/data/census/standard/datapackage.json
+++ b/data/census/standard/datapackage.json
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-              "long_name": "Household Broadband (High-Speed) Internet Subscription Rate",
-              "category": "chronic",
-              "short_description": "Share of households with a broadband internet subscription.",
-              "long_description": "Proportion of occupied housing units that have a broadband (high-speed) internet subscription, derived from ACS Table B28002. Includes cable, fiber, DSL, satellite, and fixed wireless connections.",
-              "statement": "In {location}, {value} of households have a broadband internet subscription.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.783842,
-            "sd": 0.143015,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_BTH",
-            "duplicates": 31283,
-            "info": {
-              "id": "acs_BTH",
-              "short_name": "Birth rate (women 15–50)",
-              "long_name": "Birth Rate Among Women Aged 15–50",
-              "category": "chronic",
-              "short_description": "Share of women aged 15–50 who gave birth in the past 12 months.",
-              "long_description": "Proportion of women aged 15–50 years who gave birth in the past 12 months, derived from ACS Table B13002. Used as an approximation of the general fertility rate.",
-              "statement": "In {location}, {value} of women aged 15–50 gave birth in the past year.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 2026,
-            "mean": 0.055866,
-            "sd": 0.074,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_DCY",
-            "duplicates": 44524,
-            "info": {
-              "id": "acs_DCY",
-              "short_name": "Opportunity youth rate",
-              "long_name": "Opportunity Youth Rate (Ages 16–24, Not in School or Work)",
-              "category": "chronic",
-              "short_description": "Share of youth aged 16–24 who are neither enrolled in school nor employed.",
-              "long_description": "Proportion of the population aged 16–24 who are not enrolled in school and not employed (sometimes called 'disconnected youth' or 'opportunity youth'), derived from ACS Table B14005.",
-              "statement": "In {location}, {value} of youth aged 16–24 are neither in school nor employed.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 6042,
-            "mean": 0.079209,
-            "sd": 0.132355,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_EDB",
-            "duplicates": 14532,
-            "info": {
-              "id": "acs_EDB",
-              "short_name": "High school graduation rate",
-              "long_name": "High School Graduation Rate (Adults 25+)",
-              "category": "chronic",
-              "short_description": "Share of adults aged 25+ who have at least a high school diploma or equivalent.",
-              "long_description": "Proportion of the population aged 25 and older who have completed high school (including equivalency), derived from ACS Table B15002. Includes all levels of educational attainment at or above high school.",
-              "statement": "In {location}, {value} of adults aged 25+ have at least a high school diploma.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 790,
-            "mean": 0.881738,
-            "sd": 0.100056,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_EDC",
-            "duplicates": 10582,
-            "info": {
-              "id": "acs_EDC",
-              "short_name": "Higher education attainment rate",
-              "long_name": "Higher Education Attainment Rate (Adults 25+)",
-              "category": "chronic",
-              "short_description": "Share of adults aged 25+ who have attended any college or higher.",
-              "long_description": "Proportion of the population aged 25 and older who have some college, an associate degree, a bachelor's degree, or a graduate/professional degree, derived from ACS Table B15002.",
-              "statement": "In {location}, {value} of adults aged 25+ have attended college or obtained a higher degree.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 790,
-            "mean": 0.550157,
-            "sd": 0.175487,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_GNI",
-            "duplicates": 61102,
-            "info": {
-              "id": "acs_GNI",
-              "short_name": "Gini income inequality index",
-              "long_name": "Gini Index of Income Inequality",
-              "category": "chronic",
-              "short_description": "Measure of household income inequality (0=perfect equality, 1=maximum inequality).",
-              "long_description": "The Gini index measures the degree of income inequality among households, derived from ACS Table B19083. A value of 0 represents perfect equality; 1 represents maximum inequality. The ACS Gini is based on household income.",
-              "statement": "In {location}, the Gini index of income inequality is {value}.",
-              "measure_type": "Index",
-              "unit": "Index (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 0,
-            "mean": -19122382.832146,
-            "sd": 111277926.334291,
-            "min": -666666666,
-            "max": 1
-          },
-          {
-            "name": "acs_GRP",
-            "duplicates": 31902,
-            "info": {
-              "id": "acs_GRP",
-              "short_name": "Group quarters rate",
-              "long_name": "Group Quarters Population Rate",
-              "category": "chronic",
-              "short_description": "Share of the total population living in group quarters (prisons, dorms, nursing homes, etc.).",
-              "long_description": "Proportion of the total population residing in group quarters (e.g., correctional facilities, college dormitories, nursing facilities, military barracks), derived from ACS Tables B26001 and B01001.",
-              "statement": "In {location}, {value} of the population lives in group quarters.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.030365,
-            "sd": 0.115678,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HBS",
-            "duplicates": 21799,
-            "info": {
-              "id": "acs_HBS",
-              "short_name": "Severe housing cost burden rate",
-              "long_name": "Severe Housing Cost Burden Rate (Spending 50%+ of Income on Housing)",
-              "category": "chronic",
-              "short_description": "Share of households spending 50% or more of income on housing costs.",
-              "long_description": "Proportion of occupied housing units where gross housing costs (rent or owner costs) exceed 50% of household income, derived from ACS Tables B25070 (renters) and B25091 (owners). Severe cost burden is a standard HUD threshold indicating serious housing affordability stress.",
-              "statement": "In {location}, {value} of households are severely cost-burdened, spending 50%+ of income on housing.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.107267,
-            "sd": 0.078769,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HBU",
-            "duplicates": 18606,
-            "info": {
-              "id": "acs_HBU",
-              "short_name": "Housing cost burden rate",
-              "long_name": "Housing Cost Burden Rate (Spending 30%+ of Income on Housing)",
-              "category": "chronic",
-              "short_description": "Share of households spending 30% or more of income on housing costs.",
-              "long_description": "Proportion of occupied housing units where gross housing costs (rent or owner costs) exceed 30% of household income, derived from ACS Tables B25070 (renters) and B25091 (owners). Cost burden at 30% is the standard HUD threshold indicating housing affordability stress.",
-              "statement": "In {location}, {value} of households are cost-burdened, spending 30%+ of income on housing.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.245057,
-            "sd": 0.122565,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_POP",
-            "duplicates": 42173,
-            "info": {
-              "id": "acs_POP",
-              "short_name": "Total population",
-              "long_name": "Total Population",
-              "category": "chronic",
-              "short_description": "Total resident population count.",
-              "long_description": "Total resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, the total population is {value}.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 9930.582684,
-            "sd": 14759.964883,
-            "min": 0,
-            "max": 128294
-          },
-          {
-            "name": "acs_POP_M",
-            "duplicates": 48810,
-            "info": {
-              "id": "acs_POP_M",
-              "short_name": "Male population",
-              "long_name": "Male Population",
-              "category": "chronic",
-              "short_description": "Total count of males in the population.",
-              "long_description": "Count of males in the total resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} males.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 4888.337409,
-            "sd": 7231.487106,
-            "min": 0,
-            "max": 61291
-          },
-          {
-            "name": "acs_POP_F",
-            "duplicates": 48490,
-            "info": {
-              "id": "acs_POP_F",
-              "short_name": "Female population",
-              "long_name": "Female Population",
-              "category": "chronic",
-              "short_description": "Total count of females in the population.",
-              "long_description": "Count of females in the total resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} females.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 5042.245275,
-            "sd": 7548.507882,
-            "min": 0,
-            "max": 67003
-          },
-          {
-            "name": "acs_POP_I",
-            "duplicates": 61684,
-            "info": {
-              "id": "acs_POP_I",
-              "short_name": "Infant population (0–4 years)",
-              "long_name": "Infant Population (Ages 0–4)",
-              "category": "chronic",
-              "short_description": "Total count of infants aged 0–4 years.",
-              "long_description": "Count of children aged 0–4 years (infants and toddlers) in the resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} children aged 0–4 years.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 599.192376,
-            "sd": 992.104807,
-            "min": 0,
-            "max": 18486
-          },
-          {
-            "name": "acs_POP_J",
-            "duplicates": 57173,
-            "info": {
-              "id": "acs_POP_J",
-              "short_name": "Juvenile population (5–17 years)",
-              "long_name": "Juvenile Population (Ages 5–17)",
-              "category": "chronic",
-              "short_description": "Total count of children and adolescents aged 5–17 years.",
-              "long_description": "Count of children and adolescents aged 5–17 years (school-age youth) in the resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} youth aged 5–17 years.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 1634.785537,
-            "sd": 2614.125437,
-            "min": 0,
-            "max": 32916
-          },
-          {
-            "name": "acs_POP_Y",
-            "duplicates": 52940,
-            "info": {
-              "id": "acs_POP_Y",
-              "short_name": "Young adult population (18–39 years)",
-              "long_name": "Young Adult Population (Ages 18–39)",
-              "category": "chronic",
-              "short_description": "Total count of young adults aged 18–39 years.",
-              "long_description": "Count of young adults aged 18–39 years in the resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} young adults aged 18–39 years.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 2956.651842,
-            "sd": 4849.876218,
-            "min": 0,
-            "max": 48704
-          },
-          {
-            "name": "acs_POP_O",
-            "duplicates": 52630,
-            "info": {
-              "id": "acs_POP_O",
-              "short_name": "Middle-aged adult population (40–64 years)",
-              "long_name": "Middle-Aged Adult Population (Ages 40–64)",
-              "category": "chronic",
-              "short_description": "Total count of middle-aged adults aged 40–64 years.",
-              "long_description": "Count of middle-aged adults aged 40–64 years in the resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} middle-aged adults aged 40–64 years.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 3162.875528,
-            "sd": 4634.89894,
-            "min": 0,
-            "max": 43604
-          },
-          {
-            "name": "acs_POP_S",
-            "duplicates": 57757,
-            "info": {
-              "id": "acs_POP_S",
-              "short_name": "Senior population (65+ years)",
-              "long_name": "Senior Population (Ages 65 and Older)",
-              "category": "chronic",
-              "short_description": "Total count of seniors aged 65 years and older.",
-              "long_description": "Count of older adults aged 65 years and older in the resident population, derived from ACS Table B01001.",
-              "statement": "In {location}, there are {value} seniors aged 65 and older.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 1577.0774,
-            "sd": 2258.485716,
-            "min": 0,
-            "max": 48072
-          },
-          {
-            "name": "acs_PCT_M",
-            "duplicates": 11599,
-            "info": {
-              "id": "acs_PCT_M",
-              "short_name": "Male share of population",
-              "long_name": "Male Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is male.",
-              "long_description": "Share of the resident population identifying as male, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is male.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.501874,
-            "sd": 0.070929,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_F",
-            "duplicates": 11599,
-            "info": {
-              "id": "acs_PCT_F",
-              "short_name": "Female share of population",
-              "long_name": "Female Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is female.",
-              "long_description": "Share of the resident population identifying as female, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is female.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.498126,
-            "sd": 0.070929,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_I",
-            "duplicates": 15688,
-            "info": {
-              "id": "acs_PCT_I",
-              "short_name": "Infant share of population (0–4 years)",
-              "long_name": "Share of Population Aged 0–4 (Infants)",
-              "category": "chronic",
-              "short_description": "Proportion of the population aged 0–4 years.",
-              "long_description": "Share of the resident population aged 0–4 years, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is aged 0–4 years.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.053982,
-            "sd": 0.035314,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_J",
-            "duplicates": 11664,
-            "info": {
-              "id": "acs_PCT_J",
-              "short_name": "Juvenile share of population (5–17 years)",
-              "long_name": "Share of Population Aged 5–17 (Juveniles)",
-              "category": "chronic",
-              "short_description": "Proportion of the population aged 5–17 years.",
-              "long_description": "Share of the resident population aged 5–17 years, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is aged 5–17 years.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.154696,
-            "sd": 0.066406,
-            "min": 0,
-            "max": 0.979167
-          },
-          {
-            "name": "acs_PCT_Y",
-            "duplicates": 10397,
-            "info": {
-              "id": "acs_PCT_Y",
-              "short_name": "Young adult share of population (18–39 years)",
-              "long_name": "Share of Population Aged 18–39 (Young Adults)",
-              "category": "chronic",
-              "short_description": "Proportion of the population aged 18–39 years.",
-              "long_description": "Share of the resident population aged 18–39 years, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is aged 18–39 years.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.258641,
-            "sd": 0.115761,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_O",
-            "duplicates": 9878,
-            "info": {
-              "id": "acs_PCT_O",
-              "short_name": "Middle-aged adult share of population (40–64 years)",
-              "long_name": "Share of Population Aged 40–64 (Middle-Aged Adults)",
-              "category": "chronic",
-              "short_description": "Proportion of the population aged 40–64 years.",
-              "long_description": "Share of the resident population aged 40–64 years, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is aged 40–64 years.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.33549,
-            "sd": 0.096736,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_S",
-            "duplicates": 10004,
-            "info": {
-              "id": "acs_PCT_S",
-              "short_name": "Senior share of population (65+ years)",
-              "long_name": "Share of Population Aged 65 and Older (Seniors)",
-              "category": "chronic",
-              "short_description": "Proportion of the population aged 65 years and older.",
-              "long_description": "Share of the resident population aged 65 years and older, derived from ACS Table B01001.",
-              "statement": "In {location}, {value} of the population is aged 65 and older.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.197191,
-            "sd": 0.112852,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_DEP",
-            "duplicates": 9676,
-            "info": {
-              "id": "acs_DEP",
-              "short_name": "Age dependency ratio",
-              "long_name": "Age Dependency Ratio",
-              "category": "chronic",
-              "short_description": "Ratio of dependents (ages 0–17 and 65+) to working-age adults (ages 18–64).",
-              "long_description": "Ratio of the combined count of young (0–17 years) and older (65+) dependents to the working-age population (18–64 years), derived from ACS Table B01001. A higher ratio indicates a greater relative burden on the working-age population.",
-              "statement": "In {location}, there are {value} dependents for every working-age adult.",
-              "measure_type": "Ratio",
-              "unit": "Ratio",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 969,
-            "mean": 0.740014,
-            "sd": 0.713328,
-            "min": 0,
-            "max": 51.75
-          },
-          {
-            "name": "acs_POP_W",
-            "duplicates": 47098,
-            "info": {
-              "id": "acs_POP_W",
-              "short_name": "Non-Hispanic White population",
-              "long_name": "Non-Hispanic White Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic White residents.",
-              "long_description": "Count of residents identifying as Non-Hispanic White alone, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic White residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 5938.953502,
-            "sd": 8478.750318,
-            "min": 0,
-            "max": 88510
-          },
-          {
-            "name": "acs_POP_B",
-            "duplicates": 58287,
-            "info": {
-              "id": "acs_POP_B",
-              "short_name": "Non-Hispanic Black population",
-              "long_name": "Non-Hispanic Black or African American Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic Black or African American residents.",
-              "long_description": "Count of residents identifying as Non-Hispanic Black or African American alone, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic Black or African American residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 1207.335598,
-            "sd": 3797.838552,
-            "min": 0,
-            "max": 84656
-          },
-          {
-            "name": "acs_POP_P",
-            "duplicates": 64724,
-            "info": {
-              "id": "acs_POP_P",
-              "short_name": "Native American population",
-              "long_name": "Non-Hispanic American Indian and Alaska Native Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic American Indian and Alaska Native residents.",
-              "long_description": "Count of residents identifying as Non-Hispanic American Indian and Alaska Native alone, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic American Indian and Alaska Native residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 63.942874,
-            "sd": 334.841272,
-            "min": 0,
-            "max": 14712
-          },
-          {
-            "name": "acs_POP_A",
-            "duplicates": 61124,
-            "info": {
-              "id": "acs_POP_A",
-              "short_name": "Asian population",
-              "long_name": "Non-Hispanic Asian Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic Asian residents.",
-              "long_description": "Count of residents identifying as Non-Hispanic Asian alone, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic Asian residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 541.9125,
-            "sd": 2123.046452,
-            "min": 0,
-            "max": 58722
-          },
-          {
-            "name": "acs_POP_P1",
-            "duplicates": 65485,
-            "info": {
-              "id": "acs_POP_P1",
-              "short_name": "Pacific Islander/Native Hawaiian population",
-              "long_name": "Non-Hispanic Native Hawaiian and Other Pacific Islander Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic Native Hawaiian and Other Pacific Islander residents.",
-              "long_description": "Count of residents identifying as Non-Hispanic Native Hawaiian and Other Pacific Islander alone, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic Native Hawaiian and Other Pacific Islander residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 16.461187,
-            "sd": 168.171292,
-            "min": 0,
-            "max": 18311
-          },
-          {
-            "name": "acs_POP_Q",
-            "duplicates": 63527,
-            "info": {
-              "id": "acs_POP_Q",
-              "short_name": "Two or more races population",
-              "long_name": "Non-Hispanic Two or More Races Population",
-              "category": "chronic",
-              "short_description": "Count of Non-Hispanic residents identifying as two or more races.",
-              "long_description": "Count of residents who identify as Non-Hispanic and of two or more races, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Non-Hispanic residents identifying as two or more races.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 257.843403,
-            "sd": 532.911142,
-            "min": 0,
-            "max": 15581
-          },
-          {
-            "name": "acs_POP_H",
-            "duplicates": 56813,
-            "info": {
-              "id": "acs_POP_H",
-              "short_name": "Hispanic or Latino population",
-              "long_name": "Hispanic or Latino Population",
-              "category": "chronic",
-              "short_description": "Count of Hispanic or Latino residents of any race.",
-              "long_description": "Count of residents identifying as Hispanic or Latino of any race, derived from ACS Table B03002.",
-              "statement": "In {location}, there are {value} Hispanic or Latino residents.",
-              "measure_type": "Count",
-              "unit": "Persons",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": 1876.76801,
-            "sd": 5961.537204,
-            "min": 0,
-            "max": 101183
-          },
-          {
-            "name": "acs_PCT_W",
-            "duplicates": 11754,
-            "info": {
-              "id": "acs_PCT_W",
-              "short_name": "Non-Hispanic White share",
-              "long_name": "Non-Hispanic White Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Non-Hispanic White.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic White alone, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Non-Hispanic White.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.762705,
-            "sd": 0.258765,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_B",
-            "duplicates": 24624,
-            "info": {
-              "id": "acs_PCT_B",
-              "short_name": "Non-Hispanic Black share",
-              "long_name": "Non-Hispanic Black or African American Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Non-Hispanic Black or African American.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic Black or African American alone, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Non-Hispanic Black or African American.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.075202,
-            "sd": 0.15664,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_P",
-            "duplicates": 36369,
-            "info": {
-              "id": "acs_PCT_P",
-              "short_name": "Native American share",
-              "long_name": "Non-Hispanic American Indian and Alaska Native Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Non-Hispanic American Indian and Alaska Native.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic American Indian and Alaska Native alone, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Non-Hispanic American Indian and Alaska Native.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.016778,
-            "sd": 0.091383,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_A",
-            "duplicates": 30790,
-            "info": {
-              "id": "acs_PCT_A",
-              "short_name": "Asian share",
-              "long_name": "Non-Hispanic Asian Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Non-Hispanic Asian.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic Asian alone, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Non-Hispanic Asian.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.022136,
-            "sd": 0.056522,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_P1",
-            "duplicates": 54704,
-            "info": {
-              "id": "acs_PCT_P1",
-              "short_name": "Pacific Islander/Native Hawaiian share",
-              "long_name": "Non-Hispanic Native Hawaiian and Other Pacific Islander Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Non-Hispanic Native Hawaiian and Other Pacific Islander.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic Native Hawaiian and Other Pacific Islander alone, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Non-Hispanic Native Hawaiian and Other Pacific Islander.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.00107,
-            "sd": 0.010472,
-            "min": 0,
-            "max": 0.822104
-          },
-          {
-            "name": "acs_PCT_Q",
-            "duplicates": 21692,
-            "info": {
-              "id": "acs_PCT_Q",
-              "short_name": "Two or more races share",
-              "long_name": "Non-Hispanic Two or More Races Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population identifying as Non-Hispanic two or more races.",
-              "long_description": "Share of the resident population identifying as Non-Hispanic and of two or more races, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population identifies as Non-Hispanic two or more races.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.022103,
-            "sd": 0.035057,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PCT_H",
-            "duplicates": 18008,
-            "info": {
-              "id": "acs_PCT_H",
-              "short_name": "Hispanic or Latino share",
-              "long_name": "Hispanic or Latino Share of Total Population",
-              "category": "chronic",
-              "short_description": "Proportion of the population that is Hispanic or Latino.",
-              "long_description": "Share of the resident population identifying as Hispanic or Latino of any race, derived from ACS Table B03002.",
-              "statement": "In {location}, {value} of the population is Hispanic or Latino.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.0983,
-            "sd": 0.170825,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_REX",
-            "duplicates": 7573,
-            "info": {
-              "id": "acs_REX",
-              "short_name": "Race-Ethnicity Diversity Index",
-              "long_name": "Race-Ethnicity Diversity Index (Herfindahl-Based)",
-              "category": "chronic",
-              "short_description": "Probability that two randomly chosen residents are from different racial/ethnic groups (0=no diversity, ~1=maximum diversity).",
-              "long_description": "Herfindahl-based diversity index computed as 1 minus the sum of squared race/ethnicity shares across seven groups (Non-Hispanic White, Black, Asian, Hispanic, Native American, Pacific Islander, Two or more races), derived from ACS Table B03002. A value near 0 means nearly all residents share one group; a value near 1 means population is evenly distributed across all groups.",
-              "statement": "In {location}, the race-ethnicity diversity index is {value}.",
-              "measure_type": "Index",
-              "unit": "Index (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 715,
-            "mean": 0.268143,
-            "sd": 0.211499,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HTA",
-            "duplicates": 25036,
-            "info": {
-              "id": "acs_HTA",
-              "short_name": "Single-parent household rate",
-              "long_name": "Single-Parent Household Rate",
-              "category": "chronic",
-              "short_description": "Share of family households headed by a single parent with children.",
-              "long_description": "Proportion of family households that are headed by a single parent (male or female householder, no spouse present) with children under 18, derived from ACS Table B11012.",
-              "statement": "In {location}, {value} of family households are headed by a single parent.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.053096,
-            "sd": 0.053806,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HTJ",
-            "duplicates": 30319,
-            "info": {
-              "id": "acs_HTJ",
-              "short_name": "Crowded housing rate",
-              "long_name": "Crowded Housing Rate (More Than 1 Person per Room)",
-              "category": "chronic",
-              "short_description": "Share of occupied housing units with more than 1 person per room.",
-              "long_description": "Proportion of occupied housing units with more than 1 person per room (a standard indicator of housing crowding), derived from ACS Table B25014.",
-              "statement": "In {location}, {value} of housing units are crowded (more than 1 person per room).",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.025723,
-            "sd": 0.048846,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HUF",
-            "duplicates": 42243,
-            "info": {
-              "id": "acs_HUF",
-              "short_name": "Incomplete plumbing rate",
-              "long_name": "Rate of Housing Units Lacking Complete Plumbing Facilities",
-              "category": "chronic",
-              "short_description": "Share of housing units without complete indoor plumbing.",
-              "long_description": "Proportion of occupied housing units that lack complete plumbing facilities (hot and cold running water, a bathtub or shower, and a flush toilet), derived from ACS Table B25048.",
-              "statement": "In {location}, {value} of housing units lack complete plumbing facilities.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.007913,
-            "sd": 0.038586,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HUG",
-            "duplicates": 30556,
-            "info": {
-              "id": "acs_HUG",
-              "short_name": "No telephone service rate",
-              "long_name": "Rate of Occupied Housing Units Without Telephone Service",
-              "category": "chronic",
-              "short_description": "Share of occupied housing units without telephone service.",
-              "long_description": "Proportion of occupied housing units with no telephone service available (neither landline nor cellular), derived from ACS Table B25043.",
-              "statement": "In {location}, {value} of households have no telephone service.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1598,
-            "mean": 0.020202,
-            "sd": 0.038111,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HUN",
-            "duplicates": 19529,
-            "info": {
-              "id": "acs_HUN",
-              "short_name": "Mobile home rate",
-              "long_name": "Mobile Home Housing Rate",
-              "category": "chronic",
-              "short_description": "Share of housing units that are mobile homes or trailers.",
-              "long_description": "Proportion of all housing units that are mobile homes, manufactured homes, or trailers, derived from ACS Table B25024.",
-              "statement": "In {location}, {value} of housing units are mobile homes.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1020,
-            "mean": 0.115405,
-            "sd": 0.135853,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_HUO",
-            "duplicates": 17856,
-            "info": {
-              "id": "acs_HUO",
-              "short_name": "Owner-occupied housing rate",
-              "long_name": "Owner-Occupied Housing Rate",
-              "category": "chronic",
-              "short_description": "Share of occupied housing units that are owner-occupied.",
-              "long_description": "Proportion of occupied housing units that are owner-occupied (homeownership rate), derived from ACS Table B25003.",
-              "statement": "In {location}, {value} of occupied housing units are owner-occupied.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.735664,
-            "sd": 0.179137,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_POV",
-            "duplicates": 11342,
-            "info": {
-              "id": "acs_POV",
-              "short_name": "Poverty rate",
-              "long_name": "Poverty Rate (Below 100% Federal Poverty Level)",
-              "category": "chronic",
-              "short_description": "Share of the population with income below the federal poverty level.",
-              "long_description": "Proportion of the population with family income below the federal poverty threshold, derived from ACS Table B17001.",
-              "statement": "In {location}, {value} of the population lives below the poverty level.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1134,
-            "mean": 0.136991,
-            "sd": 0.115587,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PUB",
-            "duplicates": 39335,
-            "info": {
-              "id": "acs_PUB",
-              "short_name": "Public transit commute rate",
-              "long_name": "Public Transportation Commute Rate",
-              "category": "chronic",
-              "short_description": "Share of workers who commute primarily by public transportation.",
-              "long_description": "Proportion of workers aged 16 and older who use public transportation (excluding taxicab) as their primary means of commuting to work, derived from ACS Table B08301.",
-              "statement": "In {location}, {value} of workers commute primarily by public transportation.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1206,
-            "mean": 0.018338,
-            "sd": 0.059312,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PVA",
-            "duplicates": 15142,
-            "info": {
-              "id": "acs_PVA",
-              "short_name": "Deep poverty rate (<50% FPL)",
-              "long_name": "Deep Poverty Rate (Below 50% of Federal Poverty Level)",
-              "category": "chronic",
-              "short_description": "Share of the population with income below 50% of the federal poverty level.",
-              "long_description": "Proportion of the population with income below 50% of the federal poverty threshold (deep poverty), derived from ACS Table C17002.",
-              "statement": "In {location}, {value} of the population is in deep poverty (below 50% of the poverty level).",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1134,
-            "mean": 0.059457,
-            "sd": 0.068416,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PVB",
-            "duplicates": 9417,
-            "info": {
-              "id": "acs_PVB",
-              "short_name": "Near-poverty rate (<150% FPL)",
-              "long_name": "Near-Poverty Rate (Below 150% of Federal Poverty Level)",
-              "category": "chronic",
-              "short_description": "Share of the population with income below 150% of the federal poverty level.",
-              "long_description": "Proportion of the population with income below 150% of the federal poverty threshold, derived from ACS Table C17002.",
-              "statement": "In {location}, {value} of the population has income below 150% of the poverty level.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1134,
-            "mean": 0.230006,
-            "sd": 0.150876,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_PVC",
-            "duplicates": 8610,
-            "info": {
-              "id": "acs_PVC",
-              "short_name": "Low-income rate (<200% FPL)",
-              "long_name": "Low-Income Rate (Below 200% of Federal Poverty Level)",
-              "category": "chronic",
-              "short_description": "Share of the population with income below 200% of the federal poverty level.",
-              "long_description": "Proportion of the population with income below 200% of the federal poverty threshold, derived from ACS Table C17002.",
-              "statement": "In {location}, {value} of the population has income below 200% of the poverty level.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1134,
-            "mean": 0.325546,
-            "sd": 0.174167,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_SNP",
-            "duplicates": 20313,
-            "info": {
-              "id": "acs_SNP",
-              "short_name": "SNAP/food stamp participation rate",
-              "long_name": "SNAP (Food Stamp) Participation Rate",
-              "category": "chronic",
-              "short_description": "Share of households receiving SNAP (food stamp) benefits.",
-              "long_description": "Proportion of households that received Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) benefits in the past 12 months, derived from ACS Table B22003.",
-              "statement": "In {location}, {value} of households receive SNAP benefits.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.117202,
-            "sd": 0.110798,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_VAL",
-            "duplicates": 58943,
-            "info": {
-              "id": "acs_VAL",
-              "short_name": "Median home value",
-              "long_name": "Median Owner-Occupied Home Value",
-              "category": "chronic",
-              "short_description": "Median value of owner-occupied housing units in dollars.",
-              "long_description": "Median self-reported value of owner-occupied housing units in current dollars, derived from ACS Table B25077.",
-              "statement": "In {location}, the median home value is ${value}.",
-              "measure_type": "Median",
-              "unit": "US Dollars",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": -53209519.612606,
-            "sd": 181026231.719955,
-            "min": -666666666,
-            "max": 2000001
-          },
-          {
-            "name": "acs_WWN",
-            "duplicates": 17912,
-            "info": {
-              "id": "acs_WWN",
-              "short_name": "No internet access rate",
-              "long_name": "Rate of Households Without Internet Access",
-              "category": "chronic",
-              "short_description": "Share of households without any internet access.",
-              "long_description": "Proportion of occupied housing units with no internet subscription of any kind, derived from ACS Table B28002.",
-              "statement": "In {location}, {value} of households have no internet access.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1230,
-            "mean": 0.179689,
-            "sd": 0.132769,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_INB",
-            "duplicates": 39117,
-            "info": {
-              "id": "acs_INB",
-              "short_name": "Median worker earnings",
-              "long_name": "Median Earnings for Full-Time, Year-Round Workers",
-              "category": "chronic",
-              "short_description": "Median earnings for full-time, year-round workers in dollars.",
-              "long_description": "Median earnings for full-time, year-round civilian workers aged 16 and older in current dollars, derived from ACS Table B20017.",
-              "statement": "In {location}, the median earnings for workers is ${value}.",
-              "measure_type": "Median",
-              "unit": "US Dollars",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": -43596138.945094,
-            "sd": 164881593.017698,
-            "min": -666666666,
-            "max": 250001
-          },
-          {
-            "name": "acs_INC",
-            "duplicates": 32524,
-            "info": {
-              "id": "acs_INC",
-              "short_name": "Median household income",
-              "long_name": "Median Household Income",
-              "category": "chronic",
-              "short_description": "Median household income in the past 12 months in dollars.",
-              "long_description": "Median household income in current dollars, including all sources of income for all household members, derived from ACS Table B19013.",
-              "statement": "In {location}, the median household income is ${value}.",
-              "measure_type": "Median",
-              "unit": "US Dollars",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 0,
-            "mean": -48804914.799396,
-            "sd": 173763310.087798,
-            "min": -666666666,
-            "max": 250001
-          },
-          {
-            "name": "acs_PCI",
-            "duplicates": 33669,
-            "info": {
-              "id": "acs_PCI",
-              "short_name": "Per capita income",
-              "long_name": "Per Capita Income",
-              "category": "chronic",
-              "short_description": "Mean income per person in dollars.",
-              "long_description": "Per capita income computed by dividing total aggregate income by the total population, derived from ACS Table B19301.",
-              "statement": "In {location}, the per capita income is ${value}.",
-              "measure_type": "Mean",
-              "unit": "US Dollars",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "integer",
-            "missing": 636,
-            "mean": -7234468.809021,
-            "sd": 69221490.784917,
-            "min": -666666666,
-            "max": 501433
-          },
-          {
-            "name": "acs_INL",
-            "duplicates": 65326,
-            "info": {
-              "id": "acs_INL",
-              "short_name": "Income share: lowest quintile",
-              "long_name": "Share of Aggregate Household Income: Lowest (First) Quintile",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the lowest 20% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the lowest income quintile, derived from ACS Table B19082.",
-              "statement": "In {location}, the lowest income quintile receives {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16116758.698222,
-            "sd": 102396100.16817,
-            "min": -666666666,
-            "max": 12.52
-          },
-          {
-            "name": "acs_INM",
-            "duplicates": 65045,
-            "info": {
-              "id": "acs_INM",
-              "short_name": "Income share: second quintile",
-              "long_name": "Share of Aggregate Household Income: Second Quintile",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the second 20% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the second income quintile, derived from ACS Table B19082.",
-              "statement": "In {location}, the second income quintile receives {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16078072.890758,
-            "sd": 102276192.331159,
-            "min": -666666666,
-            "max": 17.94
-          },
-          {
-            "name": "acs_INN",
-            "duplicates": 64921,
-            "info": {
-              "id": "acs_INN",
-              "short_name": "Income share: third quintile",
-              "long_name": "Share of Aggregate Household Income: Third Quintile",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the middle 20% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the third (middle) income quintile, derived from ACS Table B19082.",
-              "statement": "In {location}, the middle income quintile receives {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16078067.108612,
-            "sd": 102276193.240145,
-            "min": -666666666,
-            "max": 26.6
-          },
-          {
-            "name": "acs_INO",
-            "duplicates": 64765,
-            "info": {
-              "id": "acs_INO",
-              "short_name": "Income share: fourth quintile",
-              "long_name": "Share of Aggregate Household Income: Fourth Quintile",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the fourth 20% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the fourth income quintile, derived from ACS Table B19082.",
-              "statement": "In {location}, the fourth income quintile receives {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16078059.367855,
-            "sd": 102276194.457036,
-            "min": -666666666,
-            "max": 35.39
-          },
-          {
-            "name": "acs_INP",
-            "duplicates": 63078,
-            "info": {
-              "id": "acs_INP",
-              "short_name": "Income share: highest quintile",
-              "long_name": "Share of Aggregate Household Income: Highest (Fifth) Quintile",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the highest 20% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the highest income quintile, derived from ACS Table B19082.",
-              "statement": "In {location}, the highest income quintile receives {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16078036.956569,
-            "sd": 102276197.980216,
-            "min": -666666666,
-            "max": 82.15
-          },
-          {
-            "name": "acs_INQ",
-            "duplicates": 63351,
-            "info": {
-              "id": "acs_INQ",
-              "short_name": "Income share: top 5%",
-              "long_name": "Share of Aggregate Household Income: Top 5%",
-              "category": "chronic",
-              "short_description": "Share of aggregate household income received by the top 5% of households.",
-              "long_description": "Proportion of total aggregate household income received by households in the top 5%, derived from ACS Table B19082.",
-              "statement": "In {location}, the top 5% of households receive {value} of total income.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14534,
-            "mean": -16078063.844691,
-            "sd": 102276193.753252,
-            "min": -666666666,
-            "max": 66.55
-          },
-          {
-            "name": "acs_OWS",
-            "duplicates": 15794,
-            "info": {
-              "id": "acs_OWS",
-              "short_name": "Income quintile share ratio (S80/S20)",
-              "long_name": "Income Quintile Share Ratio (S80/S20)",
-              "category": "chronic",
-              "short_description": "Ratio of income share of the top 20% to the bottom 20% of households.",
-              "long_description": "The S80/S20 ratio is computed as the share of aggregate income held by the top quintile divided by the share held by the lowest quintile, derived from ACS Table B19081. A higher ratio indicates greater income inequality.",
-              "statement": "In {location}, the income quintile share ratio (S80/S20) is {value}.",
-              "measure_type": "Ratio",
-              "unit": "Ratio",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 14545,
-            "mean": 13.998243,
-            "sd": 106.021676,
-            "min": -1603.795181,
-            "max": 17596.4
-          },
-          {
-            "name": "acs_LEQ",
-            "duplicates": 23978,
-            "info": {
-              "id": "acs_LEQ",
-              "short_name": "Limited English proficiency rate",
-              "long_name": "Limited English Proficiency Rate",
-              "category": "chronic",
-              "short_description": "Share of the population aged 5+ who speak English less than 'very well'.",
-              "long_description": "Proportion of the population aged 5 and older who speak a language other than English at home and speak English less than 'very well' (limited English proficiency), derived from ACS Table B16004.",
-              "statement": "In {location}, {value} of residents aged 5+ have limited English proficiency.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 717,
-            "mean": 0.041418,
-            "sd": 0.085499,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_UNS",
-            "duplicates": 12903,
-            "info": {
-              "id": "acs_UNS",
-              "short_name": "Uninsured rate",
-              "long_name": "Health Insurance Uninsured Rate",
-              "category": "chronic",
-              "short_description": "Share of the civilian noninstitutionalized population without health insurance.",
-              "long_description": "Proportion of the civilian noninstitutionalized population with no health insurance coverage of any type, derived from ACS Table B27001.",
-              "statement": "In {location}, {value} of the population is uninsured.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 900,
-            "mean": 0.08535,
-            "sd": 0.080046,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_UMP",
-            "duplicates": 22449,
-            "info": {
-              "id": "acs_UMP",
-              "short_name": "Unemployment rate",
-              "long_name": "Civilian Unemployment Rate",
-              "category": "chronic",
-              "short_description": "Share of the civilian labor force that is unemployed.",
-              "long_description": "Proportion of the civilian labor force (aged 16+) that is unemployed and actively seeking work, derived from ACS Table B23001. The numerator includes unemployed civilians; the denominator includes all civilians in the labor force.",
-              "statement": "In {location}, {value} of the civilian labor force is unemployed.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 1179,
-            "mean": 0.054598,
-            "sd": 0.06308,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_DIS",
-            "duplicates": 10668,
-            "info": {
-              "id": "acs_DIS",
-              "short_name": "Disability rate",
-              "long_name": "Civilian Noninstitutionalized Population with a Disability Rate",
-              "category": "chronic",
-              "short_description": "Share of the civilian noninstitutionalized population with any disability.",
-              "long_description": "Proportion of the civilian noninstitutionalized population with any disability (hearing, vision, cognitive, ambulatory, self-care, or independent living), derived from ACS Subject Table S1810. Note: not available for all geographies or all vintage years.",
-              "statement": "In {location}, {value} of the population has a disability.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 900,
-            "mean": 0.155569,
-            "sd": 0.089926,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_MCR",
-            "duplicates": 9855,
-            "info": {
-              "id": "acs_MCR",
-              "short_name": "Medicare coverage rate",
-              "long_name": "Medicare Coverage Rate",
-              "category": "chronic",
-              "short_description": "Share of the civilian noninstitutionalized population covered by Medicare.",
-              "long_description": "Proportion of the civilian noninstitutionalized population with Medicare health insurance coverage, derived from ACS Subject Table S2704. Note: not available for all geographies or all vintage years.",
-              "statement": "In {location}, {value} of the population is covered by Medicare.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 900,
-            "mean": 0.221312,
-            "sd": 0.11748,
-            "min": 0,
-            "max": 1
-          },
-          {
-            "name": "acs_MCD",
-            "duplicates": 9561,
-            "info": {
-              "id": "acs_MCD",
-              "short_name": "Medicaid coverage rate",
-              "long_name": "Medicaid/Means-Tested Public Coverage Rate",
-              "category": "chronic",
-              "short_description": "Share of the civilian noninstitutionalized population covered by Medicaid or other means-tested public insurance.",
-              "long_description": "Proportion of the civilian noninstitutionalized population with Medicaid or other means-tested public health insurance coverage, derived from ACS Subject Table S2704. Note: not available for all geographies or all vintage years.",
-              "statement": "In {location}, {value} of the population is covered by Medicaid.",
-              "measure_type": "Percent",
-              "unit": "Proportion (0–1)",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "acs5"
-                }
-              ]
-            },
-            "time_range": [0, 1],
-            "type": "float",
-            "missing": 900,
-            "mean": 0.203181,
-            "sd": 0.132902,
-            "min": 0,
-            "max": 1
-          }
-        ]
-      },
-      "sha512": "675e4ed464adb8b55c22a889ec925f65fee8f26d19122a72529d94dc5fa080b9ebfe4efc662acdc968270e973cdb2095d2adf7a78de5e1ad3aab30976091a3d0"
-    },
     {
       "bytes": 24357611,
       "encoding": "ISO-8859-1",
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             "mean": 0.152381,
@@ -14401,7 +13304,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.258332,
@@ -14429,7 +13335,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.325378,
@@ -14457,7 +13366,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.213229,
@@ -14485,7 +13397,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1591,
             "mean": 0.783594,
@@ -14513,7 +13428,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 5708.535103,
@@ -14541,7 +13459,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 1182.237371,
@@ -14569,7 +13490,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 51.052366,
@@ -14597,7 +13521,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 574.257728,
@@ -14625,7 +13552,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 16.760852,
@@ -14653,7 +13583,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 401.355072,
@@ -14681,7 +13614,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 1986.834863,
@@ -14709,7 +13645,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.740134,
@@ -14737,7 +13676,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.072937,
@@ -14765,7 +13707,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.015306,
@@ -14793,7 +13738,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.023456,
@@ -14821,7 +13769,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.001118,
@@ -14849,7 +13800,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.037349,
@@ -14877,7 +13831,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.105812,
@@ -14905,7 +13862,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.299654,
@@ -14933,7 +13893,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.049898,
@@ -14961,7 +13924,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.025704,
@@ -14989,7 +13955,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.008087,
@@ -15017,7 +13986,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1903,
             "mean": 0.012724,
@@ -15045,7 +14017,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1613,
             "mean": 0.11105,
@@ -15073,7 +14048,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.7489,
@@ -15101,7 +14079,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1775,
             "mean": 0.133595,
@@ -15129,7 +14110,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1932,
             "mean": 0.013378,
@@ -15157,7 +14141,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1775,
             "mean": 0.061718,
@@ -15185,7 +14172,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1775,
             "mean": 0.220133,
@@ -15213,7 +14203,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1775,
             "mean": 0.311297,
@@ -15241,7 +14234,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.118958,
@@ -15269,7 +14265,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": -68566199.238674,
@@ -15297,7 +14296,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1897,
             "mean": 0.11071,
@@ -15325,7 +14327,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": -56021232.315691,
@@ -15353,7 +14358,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 0,
             "mean": -62891250.6881,
@@ -15381,7 +14389,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "integer",
             "missing": 944,
             "mean": -12123063.814009,
@@ -15409,7 +14420,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25119371.830462,
@@ -15437,7 +14451,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25093308.775363,
@@ -15465,7 +14482,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25093303.027314,
@@ -15493,7 +14513,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25093295.34959,
@@ -15521,7 +14544,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25093273.199504,
@@ -15549,7 +14575,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16375,
             "mean": -25093299.859339,
@@ -15577,7 +14606,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 16393,
             "mean": 18.100934,
@@ -15605,7 +14637,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1189,
             "mean": 0.042318,
@@ -15633,7 +14668,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1461,
             "mean": 0.081291,
@@ -15661,7 +14699,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1909,
             "mean": 0.049941,
@@ -15689,7 +14730,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1461,
             "mean": 0.16027,
@@ -15717,7 +14761,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1461,
             "mean": 0.233627,
@@ -15745,7 +14792,10 @@
                 }
               ]
             },
-            "time_range": [0, 1],
+            "time_range": [
+              0,
+              1
+            ],
             "type": "float",
             "missing": 1461,
             "mean": 0.212137,
@@ -17357,9 +16407,6 @@
     "data_state.csv.gz": {
       "state": "unchanged"
     },
-    "data_zcta_2019_2020.csv-MWMJ0G3P8D.gz": {
-      "state": "unchanged"
-    },
     "data_zcta_2019_2020.csv.gz": {
       "state": "unchanged"
     },
diff --git a/data/epic_health_alerts/ingest.R b/data/epic_health_alerts/ingest.R
index 37179f38b..ee8b4a5c7 100644
--- a/data/epic_health_alerts/ingest.R
+++ b/data/epic_health_alerts/ingest.R
@@ -35,11 +35,8 @@
 
 library(dplyr)
 
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # -----------------------------------------------------------------------------
 # 1. Download raw data
diff --git a/data/epic_health_alerts/process.json b/data/epic_health_alerts/process.json
index cacb24b15..5c056e708 100644
--- a/data/epic_health_alerts/process.json
+++ b/data/epic_health_alerts/process.json
@@ -1,15 +1,29 @@
 {
+  "name": "epic_health_alerts",
+  "type": "source",
+  "scripts": [
+    {
+      "path": "ingest.R",
+      "manual": false,
+      "frequency": 0,
+      "last_run": "",
+      "run_time": "",
+      "last_status": {
+        "log": "",
+        "success": true
+      }
+    }
+  ],
+  "checked": "2026-07-20 13:42:09",
+  "check_results": {
+    "data/epic_health_alerts/standard/data.csv.gz": []
+  },
+  "standalone": false,
   "raw_state": {
     "hash": "b97d0a759c6c60a5cea9ff24be6e197e"
   },
-  "type": "source",
-  "name": "epic_health_alerts",
   "standard_state": {
     "./data/epic_health_alerts/measure_info.json": "7d611d081b62cb41e24daec49517a7ef",
     "./data/epic_health_alerts/standard/data.csv.gz": "092d1213575acba560d5cb5deb81e16c"
-  },
-  "checked": "2026-07-20 13:42:09",
-  "check_results": {
-    "data/epic_health_alerts/standard/data.csv.gz": []
   }
 }
diff --git a/data/heat_risk/README.md b/data/heat_risk/README.md
deleted file mode 100644
index be973b3f8..000000000
--- a/data/heat_risk/README.md
+++ /dev/null
@@ -1,15 +0,0 @@
-# heat_risk
-
-This is a dcf data source project, initialized with `dcf::dcf_add_source`.
-
-You can use the `dcf` package to check the project:
-
-```R
-dcf_check()
-```
-
-And process it:
-
-```R
-dcf_process()
-```
diff --git a/data/heat_risk/ingest.R b/data/heat_risk/ingest.R
deleted file mode 100644
index 814a39a12..000000000
--- a/data/heat_risk/ingest.R
+++ /dev/null
@@ -1,12 +0,0 @@
-#
-# Download
-#
-
-# add files to the `raw` directory
-
-#
-# Reformat
-#
-
-# read from the `raw` directory, and write to the `standard` directory
-
diff --git a/data/heat_risk/measure_info.json b/data/heat_risk/measure_info.json
deleted file mode 100644
index a8cb5ea66..000000000
--- a/data/heat_risk/measure_info.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "example_variable": {
-    "id": "example_variable",
-    "short_name": "",
-    "long_name": "",
-    "category": "",
-    "short_description": "",
-    "long_description": "",
-    "statement": "",
-    "measure_type": "",
-    "unit": "",
-    "time_resolution": "",
-    "restrictions": "",
-    "sources": [],
-    "citations": []
-  }
-}
diff --git a/data/heat_risk/process.json b/data/heat_risk/process.json
deleted file mode 100644
index 32bd341f4..000000000
--- a/data/heat_risk/process.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "name": "heat_risk",
-  "type": "source",
-  "scripts": [
-    {
-      "path": "ingest.R",
-      "manual": false,
-      "frequency": 0,
-      "last_run": "",
-      "run_time": "",
-      "last_status": {
-        "log": "",
-        "success": true
-      }
-    }
-  ],
-  "checked": "",
-  "check_results": [],
-  "standalone": false
-}
diff --git a/data/heat_risk/standard/datapackage.json b/data/heat_risk/standard/datapackage.json
deleted file mode 100644
index bb72f4eab..000000000
--- a/data/heat_risk/standard/datapackage.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "name": "heat_risk",
-  "title": "Heat Risk",
-  "licenses": [],
-  "resources": []
-}
diff --git a/data/kinsa_ili/process-MWMJ0G3P8D.json b/data/kinsa_ili/process-MWMJ0G3P8D.json
deleted file mode 100644
index 219b035be..000000000
--- a/data/kinsa_ili/process-MWMJ0G3P8D.json
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-  "name": "kinsa_ili",
-  "type": "source",
-  "scripts": [
-    {
-      "path": "ingest.R",
-      "manual": false,
-      "frequency": 0,
-      "last_run": "2026-05-14 09:32:57",
-      "run_time": 1.577,
-      "last_status": {
-        "log": ["", "Attaching package: ‘dplyr’", "", "The following objects are masked from ‘package:stats’:", "", "    filter, lag", "", "The following objects are masked from ‘package:base’:", "", "    intersect, setdiff, setequal, union", "", "Latest available date: 2026-05-13", "Cache found (2689 rows). Pulling from: 2026-05-13", "Fetching 20260513 to 20260513...", "New rows fetched: 2", "Saved 2691 total rows to raw/kinsa.csv.gz", "Wrote 2690 rows to standard/data.csv.gz"],
-        "success": true
-      }
-    }
-  ],
-  "checked": "2026-04-06 14:00:23",
-  "check_results": {
-    "data/kinsa_ili/standard/data.csv.gz": []
-  },
-  "standalone": false,
-  "last_date": "2026-05-13",
-  "standard_state": {
-    "./data/kinsa_ili/measure_info.json": "9d4c6ed86f9b0674988119b83c847ac3",
-    "./data/kinsa_ili/standard/data.csv.gz": "dad08f56b308f40515ab0df138fa09f5"
-  }
-}
diff --git a/data/kinsa_ili/process.json b/data/kinsa_ili/process.json
index 8d44b0fe7..8de42b919 100644
--- a/data/kinsa_ili/process.json
+++ b/data/kinsa_ili/process.json
@@ -16,14 +16,12 @@
   ],
   "checked": "2026-05-19 19:56:14",
   "check_results": {
-    "data/kinsa_ili/standard/data.csv-MWMJ0G3P8D.gz": [],
     "data/kinsa_ili/standard/data.csv.gz": []
   },
   "standalone": false,
   "last_date": "2026-07-29",
   "standard_state": {
     "./data/kinsa_ili/measure_info.json": "9d4c6ed86f9b0674988119b83c847ac3",
-    "./data/kinsa_ili/standard/data.csv-MWMJ0G3P8D.gz": "dad08f56b308f40515ab0df138fa09f5",
     "./data/kinsa_ili/standard/data.csv.gz": "930dab4c3700930cbed2c744fcba7935"
   }
 }
diff --git a/data/kinsa_ili/raw/kinsa.csv-MWMJ0G3P8D.gz b/data/kinsa_ili/raw/kinsa.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index 2ec263b64..000000000
Binary files a/data/kinsa_ili/raw/kinsa.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/kinsa_ili/standard/data.csv-MWMJ0G3P8D.gz b/data/kinsa_ili/standard/data.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index a017e4557..000000000
Binary files a/data/kinsa_ili/standard/data.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/kinsa_ili/standard/datapackage-MWMJ0G3P8D.json b/data/kinsa_ili/standard/datapackage-MWMJ0G3P8D.json
deleted file mode 100644
index e3f733cb7..000000000
--- a/data/kinsa_ili/standard/datapackage-MWMJ0G3P8D.json
+++ /dev/null
@@ -1,2890 +0,0 @@
-{
-  "name": "kinsa_ili",
-  "title": "Kinsa Ili",
-  "licence": {
-    "url": "http://opendatacommons.org/licenses/pddl",
-    "name": "Open Data Commons Public Domain",
-    "version": "1.0",
-    "id": "odc-pddl"
-  },
-  "resources": [
-    {
-      "bytes": 12084,
-      "encoding": "ISO-8859-1",
-      "md5": "dad08f56b308f40515ab0df138fa09f5",
-      "format": "csv",
-      "name": "data.csv",
-      "filename": "data.csv.gz",
-      "versions": {
-        "hash": [
-          "997e5d14fed72a225d72d80e2ff898c0205ac85c",
-          "e4f88a23c62b057cebca6278d1e587f67c729e94",
-          "60d19571fa9c4962a655f984f96e6f3a538054a7",
-          "66356bdc1fde423fdeeaf014a7067a2de73c8775",
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-        "author": [
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "GitHub Actions <actions@github.com>",
-          "weinbergerlab <dweinber@gmail.com>",
-          "weinbergerlab <dweinber@gmail.com>"
-        ],
-        "date": [
-          "Wed May 13 09:43:06 2026 +0000",
-          "Tue May 12 09:35:10 2026 +0000",
-          "Mon May 11 10:36:02 2026 +0000",
-          "Sun May 10 08:53:24 2026 +0000",
-          "Sat May 9 08:28:53 2026 +0000",
-          "Fri May 8 08:22:49 2026 +0000",
-          "Thu May 7 09:32:38 2026 +0000",
-          "Wed May 6 09:22:42 2026 +0000",
-          "Tue May 5 09:08:43 2026 +0000",
-          "Mon May 4 10:59:27 2026 -0400",
-          "Sun Apr 5 22:00:32 2026 -0400"
-        ],
-        "message": [
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "update bunle after fixing Kinsa ingestion",
-          "Claude Sonnet 4.6 <noreply@anthropic.com>"
-        ]
-      },
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-      "data_format": "wide",
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-              "long_description": "The Kinsa Cough, Cold & Flu signal is derived from anonymized illness data collected via Kinsa smart thermometers and the associated mobile app. The signal represents the share of active users who reported symptoms consistent with cough, cold, or flu on a given day at the national level. Data are available daily starting in 2018.",
-              "statement": "In {location}, {value}% of Kinsa users reported cough, cold, or flu symptoms.",
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-              "time_resolution": "Day",
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-      "short_name": "Kinsa Cough/Cold/Flu Signal",
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-      "category": "respiratory",
-      "short_description": "Share of Kinsa smart thermometer users reporting cough, cold, or flu symptoms.",
-      "long_description": "The Kinsa Cough, Cold & Flu signal is derived from anonymized illness data collected via Kinsa smart thermometers and the associated mobile app. The signal represents the share of active users who reported symptoms consistent with cough, cold, or flu on a given day at the national level. Data are available daily starting in 2018.",
-      "statement": "In {location}, {value}% of Kinsa users reported cough, cold, or flu symptoms.",
-      "measure_type": "Prevalence",
-      "unit": "Percent",
-      "time_resolution": "Day",
-      "sources": [
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-          "id": "kinsa"
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-      "kinsa": {
-        "name": "Kinsa Insights API",
-        "url": "https://apiv2.kinsainsights.com/api/v1/docs",
-        "organization": "Kinsa",
-        "organization_url": "https://www.kinsahealth.com",
-        "location": "Kinsa Insights API - Signal Endpoint",
-        "location_url": "https://apiv2.kinsainsights.com/api/v1/docs",
-        "description": "Kinsa collects real-time illness data through its network of smart thermometers and a companion mobile app. Users who record a temperature reading are asked about accompanying symptoms. The Cough, Cold & Flu signal aggregates self-reported symptom data from active users at the national level. Coverage depends on the geographic distribution of Kinsa device owners, which skews toward households with young children. Data are available daily from approximately 2018 onward.",
-        "restrictions": "Data can be re-used with appropriate attribution. A suggested citation relating to this data is 'Results of research performed with Kinsa Insights data were obtained via the PopHIVE platform (https://github.com/PopHIVE/Ingest).'",
-        "date_accessed": 2025
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-      "id": "_sources"
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-  "change_report": {
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-      "state": "changed",
-      "variables": {
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-          "status": "present",
-          "same_type": true,
-          "added_levels": [],
-          "dropped_levels": []
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-        "time": {
-          "status": "present",
-          "same_type": true,
-          "added_levels": "2026-05-13",
-          "dropped_levels": []
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-        "kinsa_cough_cold_flu": {
-          "status": "present",
-          "same_type": true
-        }
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-  }
-}
diff --git a/data/kinsa_ili/standard/datapackage.json b/data/kinsa_ili/standard/datapackage.json
index eafbff642..07d59601c 100644
--- a/data/kinsa_ili/standard/datapackage.json
+++ b/data/kinsa_ili/standard/datapackage.json
@@ -3,2787 +3,6 @@
   "title": "Kinsa Ili",
   "license": [],
   "resources": [
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-      "encoding": "windows-1252",
-      "md5": "dad08f56b308f40515ab0df138fa09f5",
-      "format": "csv",
-      "name": "data.csv-MWMJ0G3P8D",
-      "filename": "data.csv-MWMJ0G3P8D.gz",
-      "versions": {
-        "hash": [
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-        "author": [
-          "weinbergerlab <dweinber@gmail.com>"
-        ],
-        "date": [
-          "Fri May 15 16:54:14 2026 -0400"
-        ],
-        "message": [
-          "update abcs data"
-        ]
-      },
-      "source": [],
-      "data_format": "wide",
-      "ids": [
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-          "variable": "geography"
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-      "id_length": 2,
-      "time": "time",
-      "profile": "data-resource",
-      "created": "2026-07-30 09:28:24.260583",
-      "last_modified": "2026-07-30 09:28:24.260583",
-      "vintage": {},
-      "row_count": 2690,
-      "entity_count": 1,
-      "schema": {
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-            "missing": 0,
-            "table": {
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-            }
-          },
-          {
-            "name": "kinsa_cough_cold_flu",
-            "duplicates": 1369,
-            "info": {
-              "id": "kinsa_cough_cold_flu",
-              "short_name": "Kinsa Cough/Cold/Flu Signal",
-              "long_name": "Kinsa Illness Signal: Cough, Cold & Flu (National Daily)",
-              "category": "respiratory",
-              "short_description": "Share of Kinsa smart thermometer users reporting cough, cold, or flu symptoms.",
-              "long_description": "The Kinsa Cough, Cold & Flu signal is derived from anonymized illness data collected via Kinsa smart thermometers and the associated mobile app. The signal represents the share of active users who reported symptoms consistent with cough, cold, or flu on a given day at the national level. Data are available daily starting in 2018.",
-              "statement": "In {location}, {value}% of Kinsa users reported cough, cold, or flu symptoms.",
-              "measure_type": "Prevalence",
-              "unit": "Percent",
-              "time_resolution": "Day",
-              "sources": [
-                {
-                  "id": "kinsa"
-                }
-              ]
-            },
-            "time_range": [0, 2689],
-            "type": "float",
-            "missing": 0,
-            "mean": 1.459854,
-            "sd": 0.619817,
-            "min": 0.644,
-            "max": 4.821
-          }
-        ]
-      },
-      "sha512": "09abe4cd2a35c26f9e455bd26513e602f731e3838940171489f734ed1ab6e0e91918adbd93bcea7cbd558d2c60a3a11529b79c24a5c768ad5ec32f7ada46af98"
-    },
     {
       "bytes": 12401,
       "encoding": "windows-1252",
@@ -5998,9 +3217,6 @@
     }
   },
   "change_report": {
-    "data.csv-MWMJ0G3P8D.gz": {
-      "state": "unchanged"
-    },
     "data.csv.gz": {
       "state": "changed",
       "variables": {
diff --git a/data/measles_age_cdc2/ingest.R b/data/measles_age_cdc2/ingest.R
index 2011bbd58..8b41e3b3a 100644
--- a/data/measles_age_cdc2/ingest.R
+++ b/data/measles_age_cdc2/ingest.R
@@ -11,16 +11,9 @@
 library(tidyverse)
 
 
-# Initialize process record
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
-
-
 library(dplyr)
 
+# Initialize process record (process.json is created by dcf::dcf_add_source())
 process <- dcf::dcf_process_record()
 
 # GitHub raw base URL for standard files
diff --git a/data/measles_age_cdc2/process.json b/data/measles_age_cdc2/process.json
index caa966f02..dfb5f0b35 100644
--- a/data/measles_age_cdc2/process.json
+++ b/data/measles_age_cdc2/process.json
@@ -28,42 +28,6 @@
       }
     }
   ],
-  "source_files": {
-    "wastewater_measles/standard/data.csv.gz": [
-      "measles_overall_trends.parquet",
-      "measles_overall_trends.csv.gz",
-      "measles_geographic_summary.parquet",
-      "measles_geographic_summary.csv.gz",
-      "measles_detection_status.parquet",
-      "measles_detection_status.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
-    "vaccine_exemptions_kiang/standard/data.csv.gz": [
-      "measles_exemptions_trends.parquet",
-      "measles_exemptions_trends.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
-    "schoolvaxview/standard/data_wapo_counties.csv.gz": [
-      "measles_wapo_counties.parquet",
-      "measles_wapo_counties.csv.gz",
-      "measles_wapo_counties_with_cases.parquet",
-      "measles_wapo_counties_with_cases.csv.gz"
-    ],
-    "schoolvaxview/standard/data_wapo_schools.csv.gz": [
-      "measles_wapo_schools.parquet",
-      "measles_wapo_schools.csv.gz"
-    ],
-    "measles_age_cdc2/standard/data.csv.gz": [
-      "measles_cases_by_age.parquet"
-    ]
-  },
-  "dist_state": {
-    "./data/bundle_measles/dist/measles_cases_by_age.parquet": "05f62db356ef6a9422d7444a1f938ff6",
-    "./data/bundle_measles/dist/measles_county.parquet": "578f4d2a57c441767cbffa998b82bdca",
-    "./data/bundle_measles/dist/measles_state.parquet": "33f509d999bba013a35488b5bc77a457"
-  },
   "standard_state": {
     "./data/measles_age_cdc2/measure_info.json": "f3de10e30f444c619a81c89853401a5d",
     "./data/measles_age_cdc2/standard/data.csv.gz": "e758f4752d45590f0671ce12f24838cb"
@@ -74,7 +38,10 @@
       "data": "not_compressed"
     },
     "data/measles_age_cdc2/standard/data.csv.gz": {
-      "measures": ["missing_info: year", "missing_info: week"]
+      "measures": [
+        "missing_info: year",
+        "missing_info: week"
+      ]
     }
   },
   "raw_state": {
diff --git a/data/measles_cdc/ingest.R b/data/measles_cdc/ingest.R
index c26d554d3..b0c3d0ac1 100644
--- a/data/measles_cdc/ingest.R
+++ b/data/measles_cdc/ingest.R
@@ -7,12 +7,8 @@
 library(dplyr)
 library(jsonlite)
 
-# Initialize process record
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # -----------------------------------------------------------------------------
 # 1. Download raw data from CDC
diff --git a/data/measles_cdc/process.json b/data/measles_cdc/process.json
index 112e0886f..f5677f473 100644
--- a/data/measles_cdc/process.json
+++ b/data/measles_cdc/process.json
@@ -14,45 +14,6 @@
       }
     }
   ],
-  "source_files": {
-    "wastewater_measles/standard/data.csv.gz": [
-      "measles_overall_trends.parquet",
-      "measles_overall_trends.csv.gz",
-      "measles_geographic_summary.parquet",
-      "measles_geographic_summary.csv.gz",
-      "measles_detection_status.parquet",
-      "measles_detection_status.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
-    "vaccine_exemptions_kiang/standard/data.csv.gz": [
-      "measles_exemptions_trends.parquet",
-      "measles_exemptions_trends.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
-    "schoolvaxview/standard/data_wapo_counties.csv.gz": [
-      "measles_wapo_counties.parquet",
-      "measles_wapo_counties.csv.gz",
-      "measles_wapo_counties_with_cases.parquet",
-      "measles_wapo_counties_with_cases.csv.gz"
-    ],
-    "schoolvaxview/standard/data_wapo_schools.csv.gz": [
-      "measles_wapo_schools.parquet",
-      "measles_wapo_schools.csv.gz"
-    ],
-    "measles_age_cdc2/standard/data.csv.gz": [
-      "measles_cases_by_age.parquet"
-    ]
-  },
-  "dist_state": {
-    "./data/bundle_measles/dist/measles_cases_by_age.parquet": "3b4a387771da3bdb4476207148524fce",
-    "./data/bundle_measles/dist/measles_county.parquet": "7df505dd90f31d4744c0defba6d6275b",
-    "./data/bundle_measles/dist/measles_state.parquet": "3a8910c64951a5dba34a2136ac5e5f69",
-    "./data/wastewater_measles/standard/datapackage.json": "847728d42068912737be4c2c8aed78c7",
-    "./data/schoolvaxview/standard/datapackage.json": "2757b8af5d1ca1d8c60effffc2c21690",
-    "./data/measles_age_cdc2/standard/datapackage.json": "5c00e639800d0cf9447b6452adc96ab6"
-  },
   "standard_state": {
     "./data/measles_cdc/measure_info.json": "94460757bf6301ded7dfc733d23021ae",
     "./data/measles_cdc/standard/data.csv.gz": "d9a0b2b240b4fc457b765e8ce5b65b5b"
diff --git a/data/mmr_healthmap/ingest.R b/data/mmr_healthmap/ingest.R
index 4ffa08536..e0f24044a 100644
--- a/data/mmr_healthmap/ingest.R
+++ b/data/mmr_healthmap/ingest.R
@@ -11,12 +11,8 @@ library(vroom)
 library(httr)
 library(jsonlite)
 
-# Initialize process record (creates process.json if it doesn't exist)
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # -----------------------------------------------------------------------------
 # 1. Check GitHub for updates and download if changed
diff --git a/data/narms/ingest.R b/data/narms/ingest.R
index 3aaec574b..084ff9a82 100644
--- a/data/narms/ingest.R
+++ b/data/narms/ingest.R
@@ -9,11 +9,8 @@ library(vroom)
 library(httr2)
 library(jsonlite)
 
-if (!file.exists("process.json")) {
-  process <- list(narms_now_state = NULL, retail_meats_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # =============================================================================
 # NARMS Now - Resistance by Agent & Pattern (Power BI API)
diff --git a/data/narms/process.json b/data/narms/process.json
index b38fb014c..b11e1f0e4 100644
--- a/data/narms/process.json
+++ b/data/narms/process.json
@@ -17,23 +17,49 @@
   "checked": "2026-07-24 19:27:32",
   "check_results": {
     "data/narms/standard/data_animal_pathogen.csv.gz": {
-      "measures": ["missing_info: genus", "missing_info: host_species", "missing_info: collection_source", "missing_info: antimicrobial"]
+      "measures": [
+        "missing_info: genus",
+        "missing_info: host_species",
+        "missing_info: collection_source",
+        "missing_info: antimicrobial"
+      ]
     },
     "data/narms/standard/data_food_animals.csv.gz": {
-      "measures": ["missing_info: source_program", "missing_info: source_type", "missing_info: genus", "missing_info: species", "missing_info: serotype", "missing_info: host_species", "missing_info: antimicrobial"]
+      "measures": [
+        "missing_info: source_program",
+        "missing_info: source_type",
+        "missing_info: genus",
+        "missing_info: species",
+        "missing_info: serotype",
+        "missing_info: host_species",
+        "missing_info: antimicrobial"
+      ]
     },
     "data/narms/standard/data_resistance_agent.csv.gz": {
-      "measures": ["missing_info: genus", "missing_info: species_serotype", "missing_info: antimicrobial_class", "missing_info: antimicrobial_agent", "missing_info: test_method"]
+      "measures": [
+        "missing_info: genus",
+        "missing_info: species_serotype",
+        "missing_info: antimicrobial_class",
+        "missing_info: antimicrobial_agent",
+        "missing_info: test_method"
+      ]
     },
     "data/narms/standard/data_resistance_pattern.csv.gz": {
-      "measures": ["missing_info: genus", "missing_info: species_serotype", "missing_info: pattern", "missing_info: test_method"]
-    },
-    "data/narms/standard/data_retail_meats.csv": {
-      "data": "not_compressed",
-      "measures": ["missing_info: genus", "missing_info: species", "missing_info: serotype", "missing_info: meat_source", "missing_info: antimicrobial"]
+      "measures": [
+        "missing_info: genus",
+        "missing_info: species_serotype",
+        "missing_info: pattern",
+        "missing_info: test_method"
+      ]
     },
     "data/narms/standard/data_retail_meats.csv.gz": {
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+        "missing_info: serotype",
+        "missing_info: meat_source",
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diff --git a/data/narms/standard/datapackage.json b/data/narms/standard/datapackage.json
index 704ab459f..32125649a 100644
--- a/data/narms/standard/datapackage.json
+++ b/data/narms/standard/datapackage.json
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-              "Retail Chickens": 31119,
-              "Retail Ground Beef": 10406,
-              "Retail Ground Turkey": 31760,
-              "Retail Pork Chops": 10660,
-              "Retail Veal": 415
-            }
-          },
-          {
-            "name": "antimicrobial",
-            "duplicates": 84329,
-            "info": [],
-            "time_range": [0, 19],
-            "type": "string",
-            "missing": 0,
-            "table": {
-              "Amikacin": 1319,
-              "Amoxicillin-clavulanic acid": 4166,
-              "Ampicillin": 4743,
-              "Bacitracin": 162,
-              "Cefoxitin": 4166,
-              "Ceftiofur": 2202,
-              "Ceftriaxone": 4166,
-              "Cephalothin": 200,
-              "Chloramphenicol": 5640,
-              "Ciprofloxacin": 6333,
-              "Ciprofloxacin (2nd breakpoint)": 4166,
-              "Doxycycline": 40,
-              "Erythromycin": 2167,
-              "Flaveomycin": 338,
-              "Gentamicin": 6333,
-              "Kanamycin": 2753,
-              "Lincomycin": 897,
-              "Linezolid": 1474,
-              "Meropenem": 2087,
-              "Nalidixic acid": 4819,
-              "Nitrofurantoin": 1474,
-              "Penicillin": 897,
-              "Quinupristin-dalfopristin": 1474,
-              "Salinomycin": 108,
-              "Streptomycin": 5040,
-              "Sulfamethoxazole": 200,
-              "Sulfonamides": 4166,
-              "Tetracycline": 6293,
-              "Trimethoprim-sulfamethoxazole": 4166,
-              "Tylosin": 897,
-              "Vancomycin": 1474
-            }
-          },
-          {
-            "name": "pct_resistant",
-            "duplicates": 82381,
-            "info": {
-              "id": "pct_resistant",
-              "short_name": "Percent resistant to antimicrobial",
-              "long_name": "Percentage of isolates resistant to a specific antimicrobial agent",
-              "category": "antimicrobial_resistance",
-              "short_description": "Percentage of isolates showing resistance to a specific antimicrobial agent",
-              "long_description": "Percentage of isolates tested by NARMS showing resistance to a specific antimicrobial agent, based on CLSI breakpoints. Calculated as n_resistant / n_tested * 100. Applies across all NARMS surveillance programs: human clinical isolates (CDC NARMS Now, AST and WGS methods), retail meat isolates (FDA, state-level), animal diagnostic pathogen isolates (FDA, state-level), and food-producing animal isolates (FDA HACCP/Cecal/Minor Species, national only). NA indicates the agent was on the testing panel but marked 'Not Tested' for that organism/year combination.",
-              "statement": "In {location}, {value}% of isolates were resistant to {antimicrobial}",
-              "measure_type": "Percent",
-              "unit": "Percent",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "narms_now"
-                },
-                {
-                  "id": "narms_retail_meats"
-                },
-                {
-                  "id": "narms_animal_pathogen"
-                },
-                {
-                  "id": "narms_food_animals"
-                }
-              ],
-              "citations": [
-                {
-                  "title": "NARMS Now: Human Data",
-                  "url": "https://www.cdc.gov/narms/data/index.html"
-                },
-                {
-                  "title": "FDA NARMS Integrated Reports/Summaries",
-                  "url": "https://www.fda.gov/animal-veterinary/national-antimicrobial-resistance-monitoring-system/integrated-reportssummaries"
-                }
-              ]
-            },
-            "time_range": [0, 19],
-            "type": "float",
-            "missing": 0,
-            "mean": 14.373102,
-            "sd": 30.570399,
-            "min": 0,
-            "max": 100
-          },
-          {
-            "name": "n_resistant",
-            "duplicates": 84243,
-            "info": {
-              "id": "n_resistant",
-              "short_name": "Number of resistant isolates",
-              "long_name": "Number of isolates resistant to a specific antimicrobial agent",
-              "category": "antimicrobial_resistance",
-              "short_description": "Count of isolates showing resistance to a specific antimicrobial agent",
-              "long_description": "Number of isolates classified as Resistant (R) by CLSI breakpoints for a specific antimicrobial agent. Numerator of the resistance percentage (pct_resistant). Applies across all NARMS surveillance programs. NA when the dashboard or source reports 'Not Tested' for that organism/year/agent combination. Zero when the agent was on the panel but no isolates were available.",
-              "statement": "In {location}, {value} isolates were resistant to {antimicrobial}",
-              "measure_type": "Count",
-              "unit": "Isolates",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "narms_now"
-                },
-                {
-                  "id": "narms_retail_meats"
-                },
-                {
-                  "id": "narms_animal_pathogen"
-                },
-                {
-                  "id": "narms_food_animals"
-                }
-              ]
-            },
-            "time_range": [0, 19],
-            "type": "integer",
-            "missing": 0,
-            "mean": 2.146041,
-            "sd": 8.618501,
-            "min": 0,
-            "max": 118
-          },
-          {
-            "name": "n_tested",
-            "duplicates": 84240,
-            "info": {
-              "id": "n_tested",
-              "short_name": "Number of isolates tested",
-              "long_name": "Number of isolates tested for antimicrobial susceptibility",
-              "category": "antimicrobial_resistance",
-              "short_description": "Total number of isolates tested for resistance to a specific antimicrobial agent",
-              "long_description": "Total number of isolates tested for susceptibility to a specific antimicrobial agent. Denominator of the resistance percentage (pct_resistant). Applies across all NARMS surveillance programs. NA when the source reports 'Not Tested' for that organism/year/agent combination. Zero when the agent was on the panel but no isolates were available.",
-              "statement": "In {location}, {value} isolates were tested for {antimicrobial}",
-              "measure_type": "Count",
-              "unit": "Isolates",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "narms_now"
-                },
-                {
-                  "id": "narms_retail_meats"
-                },
-                {
-                  "id": "narms_animal_pathogen"
-                },
-                {
-                  "id": "narms_food_animals"
-                }
-              ]
-            },
-            "time_range": [0, 19],
-            "type": "integer",
-            "missing": 0,
-            "mean": 12.012316,
-            "sd": 22.878915,
-            "min": 1,
-            "max": 120
-          },
-          {
-            "name": "mic50",
-            "duplicates": 84261,
-            "info": {
-              "id": "mic50",
-              "short_name": "MIC50",
-              "long_name": "Median minimum inhibitory concentration (MIC50)",
-              "category": "antimicrobial_resistance",
-              "short_description": "Median MIC value across isolates tested for a specific antimicrobial",
-              "long_description": "The MIC50 is the minimum inhibitory concentration (in micrograms per milliliter) at which 50% of isolates are inhibited — i.e., the median MIC value. Calculated from individual isolate-level MIC data. Available for retail meats, animal pathogen, and food-producing animal datasets. Not available for human clinical (NARMS Now) data, which reports only aggregate resistance percentages.",
-              "statement": "The MIC50 for {antimicrobial} was {value} µg/mL",
-              "measure_type": "Concentration",
-              "unit": "µg/mL",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "narms_retail_meats"
-                },
-                {
-                  "id": "narms_animal_pathogen"
-                },
-                {
-                  "id": "narms_food_animals"
-                }
-              ]
-            },
-            "time_range": [0, 19],
-            "type": "float",
-            "missing": 0,
-            "mean": 21.628209,
-            "sd": 79.281139,
-            "min": 0.008,
-            "max": 2048
-          },
-          {
-            "name": "mic90",
-            "duplicates": 83372,
-            "info": {
-              "id": "mic90",
-              "short_name": "MIC90",
-              "long_name": "90th percentile minimum inhibitory concentration (MIC90)",
-              "category": "antimicrobial_resistance",
-              "short_description": "90th percentile MIC value across isolates tested for a specific antimicrobial",
-              "long_description": "The MIC90 is the minimum inhibitory concentration (in micrograms per milliliter) at which 90% of isolates are inhibited — i.e., the 90th percentile MIC value. Calculated from individual isolate-level MIC data. Available for retail meats, animal pathogen, and food-producing animal datasets. Not available for human clinical (NARMS Now) data, which reports only aggregate resistance percentages.",
-              "statement": "The MIC90 for {antimicrobial} was {value} µg/mL",
-              "measure_type": "Concentration",
-              "unit": "µg/mL",
-              "time_resolution": "Year",
-              "sources": [
-                {
-                  "id": "narms_retail_meats"
-                },
-                {
-                  "id": "narms_animal_pathogen"
-                },
-                {
-                  "id": "narms_food_animals"
-                }
-              ]
-            },
-            "time_range": [0, 19],
-            "type": "float",
-            "missing": 0,
-            "mean": 35.81461,
-            "sd": 152.633007,
-            "min": 0.008,
-            "max": 2048
-          }
-        ]
-      },
-      "sha512": "b1bb8497575add9839934d523bd622471f66146f9f0526b5f9b574cf08f4eb689d2c024f8aa2e9f43c07d8a2589d1fbd1f6576a6a5f3d0fe56b6292533147abd"
-    },
     {
       "bytes": 572315,
       "encoding": "ISO-8859-1",
@@ -2453,7 +2078,10 @@
             "name": "geography",
             "duplicates": 84338,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2485,7 +2113,10 @@
             "name": "time",
             "duplicates": 84340,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2515,7 +2146,10 @@
             "name": "genus",
             "duplicates": 84356,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2529,7 +2163,10 @@
             "name": "species",
             "duplicates": 84351,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2548,7 +2185,10 @@
             "name": "serotype",
             "duplicates": 84232,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2686,7 +2326,10 @@
             "name": "meat_source",
             "duplicates": 84355,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2701,7 +2344,10 @@
             "name": "antimicrobial",
             "duplicates": 84329,
             "info": [],
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "string",
             "missing": 0,
             "table": {
@@ -2777,7 +2423,10 @@
                 }
               ]
             },
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "float",
             "missing": 0,
             "mean": 14.373102,
@@ -2814,7 +2463,10 @@
                 }
               ]
             },
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 2.146041,
@@ -2851,7 +2503,10 @@
                 }
               ]
             },
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "integer",
             "missing": 0,
             "mean": 12.012316,
@@ -2885,7 +2540,10 @@
                 }
               ]
             },
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "float",
             "missing": 0,
             "mean": 21.628209,
@@ -2919,7 +2577,10 @@
                 }
               ]
             },
-            "time_range": [0, 19],
+            "time_range": [
+              0,
+              19
+            ],
             "type": "float",
             "missing": 0,
             "mean": 35.81461,
@@ -3232,9 +2893,6 @@
         }
       }
     },
-    "data_retail_meats.csv": {
-      "state": "unchanged"
-    },
     "data_retail_meats.csv.gz": {
       "state": "unchanged"
     }
diff --git a/data/nccr/ingest.R b/data/nccr/ingest.R
index c3aa50779..121bc0a9d 100644
--- a/data/nccr/ingest.R
+++ b/data/nccr/ingest.R
@@ -31,12 +31,8 @@ DATA_URL  <- file.path(API_BASE, "render_region_5.php")
 DATA_TYPE <- 1L   # 1 = Incidence
 GRAPH_TYPE <- 2L  # 2 = Trends Over Time (annual series)
 
-# Initialize process record (creates process.json if it doesn't exist)
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+# Initialize process record (process.json is created by dcf::dcf_add_source())
+process <- dcf::dcf_process_record()
 
 # -----------------------------------------------------------------------------
 # 1. Download raw data into memory, write single combined file
diff --git a/data/noaa_heat_risk/process-MWMJ0G3P8D.json b/data/noaa_heat_risk/process-MWMJ0G3P8D.json
deleted file mode 100644
index 91009405f..000000000
--- a/data/noaa_heat_risk/process-MWMJ0G3P8D.json
+++ /dev/null
@@ -1,693 +0,0 @@
-{
-  "name": "heat_risk",
-  "type": "source",
-  "scripts": [
-    {
-      "path": "ingest.R",
-      "manual": false,
-      "frequency": 0,
-      "last_run": "2026-05-14 09:32:48",
-      "run_time": 33.558,
-      "last_status": {
-        "log": ["", "Attaching package: ‘dplyr’", "", "The following objects are masked from ‘package:stats’:", "", "    filter, lag", "", "The following objects are masked from ‘package:base’:", "", "    intersect, setdiff, setequal, union", "", "terra 1.9.27", "Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.4.0; sf_use_s2() is TRUE", "To enable caching of data, set `options(tigris_use_cache = TRUE)`", "in your R script or .Rprofile.", "", "Attaching package: ‘tigris’", "", "The following object is masked from ‘package:terra’:", "", "    blocks", "", "Processing 1 new archive date(s)...", "  Processing 2026-05-13", "Archive: added 1 date(s).", "Downloading 7-day forecast...", "  Processing forecast day 1 (2026-05-15)", "  Processing forecast day 2 (2026-05-16)", "  Processing forecast day 3 (2026-05-17)", "  Processing forecast day 4 (2026-05-18)", "  Processing forecast day 5 (2026-05-19)", "Forecast updated.", "Rows: 3314 Columns: 3", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r── Column specification ────────────────────────────────────────────────────────", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rDelimiter: \"\\t\"", "chr (3): geography, geography_name, state", "", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r", "", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r", "Rows: 2039504 Columns: 5", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r── Column specification ────────────────────────────────────────────────────────", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rDelimiter: \",\"", "chr  (1): geography", "dbl  (3): value, forecast_day, low_coverage_flag", "date (1): time", "", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r", "", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rℹ Use `spec()` to retrieve the full column specification for this data.", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\rℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.", "⠙ processing source heat_risk (./data/noaa_heat_risk/ingest.R)\r"],
-        "success": true
-      }
-    }
-  ],
-  "checked": "2026-05-12 19:54:49",
-  "check_results": {
-    "data/noaa_heat_risk/standard/data_county.csv.gz": {
-      "measures": [
-        "missing_info: value",
-        "missing_info: forecast_day",
-        "missing_info: low_coverage_flag"
-      ]
-    },
-    "data/noaa_heat_risk/standard/data_state.csv.gz": {
-      "measures": [
-        "missing_info: value",
-        "missing_info: forecast_day"
-      ]
-    }
-  },
-  "standalone": false,
-  "processed_archive_dates": [
-    "20240801",
-    "20240802",
-    "20240803",
-    "20240804",
-    "20240805",
-    "20240806",
-    "20240807",
-    "20240808",
-    "20240809",
-    "20240810",
-    "20240811",
-    "20240812",
-    "20240813",
-    "20240814",
-    "20240815",
-    "20240816",
-    "20240817",
-    "20240818",
-    "20240819",
-    "20240820",
-    "20240821",
-    "20240822",
-    "20240823",
-    "20240824",
-    "20240825",
-    "20240826",
-    "20240827",
-    "20240828",
-    "20240829",
-    "20240830",
-    "20240831",
-    "20240901",
-    "20240902",
-    "20240903",
-    "20240904",
-    "20240905",
-    "20240906",
-    "20240907",
-    "20240908",
-    "20240909",
-    "20240910",
-    "20240911",
-    "20240912",
-    "20240913",
-    "20240914",
-    "20240915",
-    "20240916",
-    "20240917",
-    "20240918",
-    "20240919",
-    "20240920",
-    "20240921",
-    "20240922",
-    "20240923",
-    "20240924",
-    "20240925",
-    "20240926",
-    "20240927",
-    "20240928",
-    "20240929",
-    "20240930",
-    "20241001",
-    "20241002",
-    "20241003",
-    "20241004",
-    "20241005",
-    "20241006",
-    "20241007",
-    "20241008",
-    "20241009",
-    "20241010",
-    "20241011",
-    "20241012",
-    "20241013",
-    "20241014",
-    "20241015",
-    "20241016",
-    "20241017",
-    "20241018",
-    "20241019",
-    "20241020",
-    "20241021",
-    "20241022",
-    "20241023",
-    "20241024",
-    "20241025",
-    "20241026",
-    "20241027",
-    "20241028",
-    "20241029",
-    "20241030",
-    "20241031",
-    "20241101",
-    "20241102",
-    "20241103",
-    "20241104",
-    "20241105",
-    "20241106",
-    "20241107",
-    "20241108",
-    "20241109",
-    "20241110",
-    "20241111",
-    "20241112",
-    "20241113",
-    "20241114",
-    "20241115",
-    "20241116",
-    "20241117",
-    "20241118",
-    "20241119",
-    "20241120",
-    "20241121",
-    "20241122",
-    "20241123",
-    "20241124",
-    "20241125",
-    "20241126",
-    "20241127",
-    "20241128",
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-    "20241130",
-    "20241201",
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-    "20241203",
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-    "20241205",
-    "20241206",
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-    "20241209",
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-    "20241213",
-    "20241214",
-    "20241215",
-    "20241216",
-    "20241217",
-    "20241218",
-    "20241219",
-    "20241220",
-    "20241221",
-    "20241222",
-    "20241223",
-    "20241224",
-    "20241225",
-    "20241226",
-    "20241227",
-    "20241228",
-    "20241229",
-    "20241230",
-    "20241231",
-    "20250101",
-    "20250102",
-    "20250103",
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-    "20250114",
-    "20250115",
-    "20250116",
-    "20250117",
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-    "20250119",
-    "20250120",
-    "20250121",
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-    "20250123",
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-    "20250125",
-    "20250126",
-    "20250127",
-    "20250128",
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-    "20250131",
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-    "./data/noaa_heat_risk/standard/data_county.csv.gz": "49172c9efd9d620b83ae7998f12990af",
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diff --git a/data/noaa_heat_risk/process.json b/data/noaa_heat_risk/process.json
index fa9f094f1..293e7d2e2 100644
--- a/data/noaa_heat_risk/process.json
+++ b/data/noaa_heat_risk/process.json
@@ -1,5 +1,5 @@
 {
-  "name": "heat_risk",
+  "name": "noaa_heat_risk",
   "type": "source",
   "scripts": [
     {
@@ -16,9 +16,7 @@
   ],
   "checked": "2026-07-13 13:19:54",
   "check_results": {
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     "data/noaa_heat_risk/standard/data_county.csv.gz": [],
-    "data/noaa_heat_risk/standard/data_state.csv-MWMJ0G3P8D.gz": [],
     "data/noaa_heat_risk/standard/data_state.csv.gz": []
   },
   "standalone": false,
@@ -755,9 +753,7 @@
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   "standard_state": {
     "./data/noaa_heat_risk/measure_info.json": "0f184ae22b2f76c267ecb93317a12d28",
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     "./data/noaa_heat_risk/standard/data_county.csv.gz": "ab4e10141e81226584f7674372986f28",
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     "./data/noaa_heat_risk/standard/data_state.csv.gz": "306c0c3404fdb07578a847dc3413a215"
   }
 }
diff --git a/data/noaa_heat_risk/standard/data_county.csv-MWMJ0G3P8D.gz b/data/noaa_heat_risk/standard/data_county.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index af59cc6a3..000000000
Binary files a/data/noaa_heat_risk/standard/data_county.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/noaa_heat_risk/standard/data_state.csv-MWMJ0G3P8D.gz b/data/noaa_heat_risk/standard/data_state.csv-MWMJ0G3P8D.gz
deleted file mode 100644
index 764992a0f..000000000
Binary files a/data/noaa_heat_risk/standard/data_state.csv-MWMJ0G3P8D.gz and /dev/null differ
diff --git a/data/noaa_heat_risk/standard/datapackage-MWMJ0G3P8D.json b/data/noaa_heat_risk/standard/datapackage-MWMJ0G3P8D.json
deleted file mode 100644
index de2bb9121..000000000
--- a/data/noaa_heat_risk/standard/datapackage-MWMJ0G3P8D.json
+++ /dev/null
@@ -1,5114 +0,0 @@
-{
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-  "title": "Heat Risk",
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-          "scheduled daily data update",
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-          "scheduled noaa heat risk update",
-          "scheduled noaa heat risk update",
-          "scheduled data build",
-          "scheduled noaa heat risk update",
-          "Claude Sonnet 4.6 <noreply@anthropic.com>"
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diff --git a/data/noaa_heat_risk/standard/datapackage.json b/data/noaa_heat_risk/standard/datapackage.json
index af34fda63..25eaa14a1 100644
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+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "weinbergerlab <dweinber@gmail.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "GitHub Actions <actions@github.com>",
+          "danweinberger <daniel.weinberger@yale.edu>"
         ],
         "date": [
-          "Fri May 15 16:54:14 2026 -0400"
-        ],
-        "message": [
-          "update abcs data"
-        ]
-      },
-      "source": [],
-      "data_format": "wide",
-      "ids": [
-        {
-          "variable": "geography"
-        }
-      ],
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-      "last_modified": "2026-07-30 09:28:26.215111",
-      "vintage": {},
-      "row_count": 2039504,
-      "entity_count": 3109,
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+          "Wed Jul 22 09:28:26 2026 +0000",
+          "Tue Jul 21 09:30:13 2026 +0000",
+          "Mon Jul 20 09:59:20 2026 +0000",
+          "Sun Jul 19 09:08:47 2026 +0000",
+          "Sat Jul 18 08:51:46 2026 +0000",
+          "Fri Jul 17 09:10:20 2026 +0000",
+          "Thu Jul 16 09:14:41 2026 +0000",
+          "Wed Jul 15 09:12:09 2026 +0000",
+          "Tue Jul 14 09:06:28 2026 +0000",
+          "Mon Jul 13 10:23:41 2026 +0000",
+          "Sun Jul 12 09:04:44 2026 +0000",
+          "Sat Jul 11 08:48:59 2026 +0000",
+          "Fri Jul 10 10:23:18 2026 +0000",
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+          "Tue Jul 7 10:24:33 2026 +0000",
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+          "Thu May 21 10:39:23 2026 +0000",
+          "Wed May 20 10:26:44 2026 +0000",
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+          "Sun May 17 09:04:17 2026 +0000",
+          "Sat May 16 08:48:58 2026 +0000",
+          "Fri May 15 09:59:41 2026 +0000",
+          "Thu May 14 09:32:59 2026 +0000",
+          "Wed May 13 09:43:06 2026 +0000",
+          "Tue May 12 09:35:10 2026 +0000",
+          "Mon May 11 10:36:02 2026 +0000",
+          "Sun May 10 08:53:24 2026 +0000",
+          "Sat May 9 08:28:53 2026 +0000",
+          "Fri May 8 08:22:49 2026 +0000",
+          "Thu May 7 09:32:38 2026 +0000",
+          "Wed May 6 09:22:42 2026 +0000",
+          "Tue May 5 09:08:43 2026 +0000",
+          "Mon May 4 09:17:21 2026 +0000",
+          "Sun May 3 08:50:28 2026 +0000",
+          "Sat May 2 08:23:10 2026 +0000",
+          "Fri May 1 08:59:33 2026 +0000",
+          "Thu Apr 30 09:14:36 2026 +0000",
+          "Wed Apr 29 09:10:53 2026 +0000",
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+          "Sat Apr 25 08:08:42 2026 +0000",
+          "Fri Apr 24 09:01:58 2026 +0000",
+          "Thu Apr 23 08:53:15 2026 +0000",
+          "Wed Apr 22 08:31:03 2026 +0000",
+          "Tue Apr 21 08:34:14 2026 +0000",
+          "Mon Apr 20 09:09:14 2026 +0000",
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+          "Sat Apr 18 07:59:49 2026 +0000",
+          "Fri Apr 17 08:27:51 2026 +0000",
+          "Thu Apr 16 08:31:04 2026 +0000",
+          "Wed Apr 15 08:28:26 2026 +0000",
+          "Tue Apr 14 08:30:14 2026 +0000",
+          "Mon Apr 13 09:02:35 2026 +0000",
+          "Sun Apr 12 08:03:40 2026 +0000",
+          "Sat Apr 11 07:49:25 2026 +0000",
+          "Fri Apr 10 08:32:10 2026 +0000",
+          "Thu Apr 9 08:19:49 2026 +0000",
+          "Wed Apr 8 08:12:14 2026 +0000",
+          "Tue Apr 7 08:21:35 2026 +0000",
+          "Mon Apr 6 08:24:12 2026 +0000",
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+          "Sat Apr 4 07:47:18 2026 +0000",
+          "Fri Apr 3 08:01:35 2026 +0000",
+          "Thu Apr 2 08:04:43 2026 +0000",
+          "Wed Apr 1 02:45:45 2026 +0000",
+          "Tue Mar 31 21:09:24 2026 +0000",
+          "Thu Mar 26 23:19:59 2026 -0400"
+        ],
+        "message": [
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled data build",
+          "Add CDC CFA RT (respiratory tract) data source",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
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+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
+          "scheduled daily data update",
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+          "scheduled data build",
+          "scheduled noaa heat risk update",
+          "add noaa_heat_risk data source and update bundle_injury_overdose"
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-          "Tue May 12 09:35:10 2026 +0000",
-          "Mon May 11 10:36:02 2026 +0000",
-          "Sun May 10 08:53:24 2026 +0000",
-          "Sat May 9 08:28:53 2026 +0000",
-          "Fri May 8 08:22:49 2026 +0000",
-          "Thu May 7 09:32:38 2026 +0000",
-          "Wed May 6 09:22:42 2026 +0000",
-          "Tue May 5 09:08:43 2026 +0000",
-          "Mon May 4 09:17:21 2026 +0000",
-          "Sun May 3 08:50:28 2026 +0000",
-          "Sat May 2 08:23:10 2026 +0000",
-          "Fri May 1 08:59:33 2026 +0000",
-          "Thu Apr 30 09:14:36 2026 +0000",
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-          "Fri Apr 17 08:27:51 2026 +0000",
-          "Thu Apr 16 08:31:04 2026 +0000",
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-          "Tue Apr 14 08:30:14 2026 +0000",
-          "Mon Apr 13 09:02:35 2026 +0000",
-          "Sun Apr 12 08:03:40 2026 +0000",
-          "Sat Apr 11 07:49:25 2026 +0000",
-          "Fri Apr 10 08:32:10 2026 +0000",
-          "Thu Apr 9 08:19:49 2026 +0000",
-          "Wed Apr 8 08:12:14 2026 +0000",
-          "Tue Apr 7 08:21:35 2026 +0000",
-          "Mon Apr 6 08:24:12 2026 +0000",
-          "Sun Apr 5 07:55:03 2026 +0000",
-          "Sat Apr 4 07:47:18 2026 +0000",
-          "Fri Apr 3 08:01:35 2026 +0000",
-          "Thu Apr 2 08:04:43 2026 +0000",
-          "Wed Apr 1 02:45:45 2026 +0000",
-          "Tue Mar 31 21:09:24 2026 +0000",
-          "Thu Mar 26 23:19:59 2026 -0400"
-        ],
-        "message": [
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled data build",
-          "Add CDC CFA RT (respiratory tract) data source",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled daily data update",
-          "scheduled noaa heat risk update",
-          "scheduled noaa heat risk update",
-          "scheduled noaa heat risk update",
-          "scheduled noaa heat risk update",
-          "scheduled data build",
-          "scheduled noaa heat risk update",
-          "add noaa_heat_risk data source and update bundle_injury_overdose"
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-          {
-            "name": "value",
-            "duplicates": 2243218,
-            "info": {
-              "id": "value",
-              "short_name": "Heat Risk Score",
-              "long_name": "NOAA HeatRisk Mean Score",
-              "category": "heat",
-              "short_description": "Mean daily heat risk score (0–4) aggregated to county and state level.",
-              "long_description": "The NOAA Weather Prediction Center (WPC) HeatRisk product provides a daily heat risk forecast across the contiguous United States on a 0–4 scale: 0 = No Risk, 1 = Minor, 2 = Moderate, 3 = Major, 4 = Extreme. Values represent the risk of heat-related illness to the general population. County- and state-level values are derived by computing the area-weighted mean raster pixel value from the GeoTIFF archive files (~2.5 km NDFD grid). Historical archive data is available from 2024-08-01 onward. The current 7-day forecast (forecast_day = 1–7) is refreshed daily. The county-level file includes a low_coverage_flag column (1 = fewer than 9 pixels cover the county, ~56 km²) indicating that the estimate is based on very few grid cells and should be interpreted with caution.",
-              "statement": "The mean heat risk score in {location} on {time} was {value} (0–4 scale).",
-              "measure_type": "Index",
-              "unit": "Score (0–4)",
-              "time_resolution": "Day",
-              "sources": [
-                {
-                  "id": "noaa_wpc_heatrisk"
-                }
-              ],
-              "citations": [
-                {
-                  "title": "NWS Weather Prediction Center HeatRisk",
-                  "url": "https://www.wpc.ncep.noaa.gov/heatrisk/"
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-            "time_range": [0, 732],
-            "type": "float",
-            "missing": 0,
-            "mean": 0.529187,
-            "sd": 0.741899,
-            "min": 0,
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           },
           {
             "name": "value",
-            "duplicates": 22906,
+            "duplicates": 2243218,
             "info": {
               "id": "value",
               "short_name": "Heat Risk Score",
@@ -9170,17 +4397,17 @@
                 }
               ]
             },
-            "time_range": [0, 655],
+            "time_range": [0, 732],
             "type": "float",
             "missing": 0,
-            "mean": 0.399683,
-            "sd": 0.606737,
+            "mean": 0.529187,
+            "sd": 0.741899,
             "min": 0,
             "max": 4
           },
           {
             "name": "forecast_day",
-            "duplicates": 32794,
+            "duplicates": 2278891,
             "info": {
               "id": "forecast_day",
               "short_name": "Forecast day",
@@ -9197,17 +4424,45 @@
                 }
               ]
             },
-            "time_range": [0, 655],
+            "time_range": [0, 732],
             "type": "integer",
             "missing": 0,
-            "mean": 0.022866,
-            "sd": 0.288654,
+            "mean": 0.020464,
+            "sd": 0.273158,
             "min": 0,
             "max": 5
+          },
+          {
+            "name": "low_coverage_flag",
+            "duplicates": 2278894,
+            "info": {
+              "id": "low_coverage_flag",
+              "short_name": "Low coverage flag",
+              "long_name": "County low pixel coverage flag",
+              "category": "heat",
+              "short_description": "1 if fewer than 9 grid pixels cover the county (~<56 km²), 0 otherwise.",
+              "long_description": "County-level only. Value is 1 when fewer than 9 raster pixels (roughly a 3x3 block at 2.5 km resolution, ~<56 km²) fall within the county boundary, indicating the mean heat risk estimate is derived from very few grid cells and should be interpreted with caution. Value is 0 otherwise.",
+              "statement": "The heat risk estimate for {location} on {time} was based on low pixel coverage ({value}).",
+              "measure_type": "Binary",
+              "unit": "Binary indicator",
+              "time_resolution": "Day",
+              "sources": [
+                {
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+            "type": "integer",
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@@ -10689,9 +5941,6 @@
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diff --git a/data/process.json b/data/process.json
deleted file mode 100644
index 662eeb523..000000000
--- a/data/process.json
+++ /dev/null
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-{
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-  "type": "source",
-  "name": "."
-}
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diff --git a/data/raw/29hc-w46k.json b/data/raw/29hc-w46k.json
deleted file mode 100644
index cf2e3ce3e..000000000
--- a/data/raw/29hc-w46k.json
+++ /dev/null
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-{
-  "id" : "29hc-w46k",
-  "name" : "RSV-NET Rates and Clinical Data",
-  "assetType" : "dataset",
-  "attribution" : "RESP-NET",
-  "attributionLink" : "https://www.cdc.gov/rsv/php/surveillance/rsv-net.html",
-  "averageRating" : 0,
-  "category" : "Public Health Surveillance",
-  "createdAt" : 1666625658,
-  "description" : "This dataset includes hospitalization rates and selected clinical characteristics from RSV-NET for laboratory-confirmed RSV-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across RSV-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
-  "diciBackend" : false,
-  "displayType" : "table",
-  "downloadCount" : 38805,
-  "hideFromCatalog" : false,
-  "hideFromDataJson" : false,
-  "licenseId" : "USGOV_WORKS",
-  "locked" : false,
-  "newBackend" : true,
-  "numberOfComments" : 0,
-  "oid" : 42268882,
-  "provenance" : "official",
-  "publicationAppendEnabled" : false,
-  "publicationDate" : 1783437577,
-  "publicationGroup" : 18922684,
-  "publicationStage" : "published",
-  "rowsUpdatedAt" : 1783619044,
-  "rowsUpdatedBy" : "mwsw-x2sy",
-  "tableId" : 20452644,
-  "totalTimesRated" : 0,
-  "viewCount" : 24440,
-  "viewLastModified" : 1783618834,
-  "viewType" : "tabular",
-  "approvals" : [ {
-    "reviewedAt" : 1666728536,
-    "reviewedAutomatically" : true,
-    "state" : "approved",
-    "submissionId" : 7559275,
-    "submissionObject" : "public_audience_request",
-    "submissionOutcome" : "change_audience",
-    "submittedAt" : 1666728536,
-    "targetAudience" : "public",
-    "workflowId" : 2100,
-    "submissionDetails" : {
-      "permissionType" : "READ"
-    },
-    "submissionOutcomeApplication" : {
-      "endedAt" : 1666728536,
-      "failureCount" : 0,
-      "startedAt" : 1666728536,
-      "status" : "success"
-    },
-    "submitter" : {
-      "id" : "xshe-9dyb",
-      "displayName" : "Kadam Patel"
-    }
-  } ],
-  "clientContext" : {
-    "clientContextVariables" : [ ],
-    "inheritedVariables" : { }
-  },
-  "columns" : [ {
-    "id" : 636681648,
-    "name" : "Season",
-    "dataTypeName" : "text",
-    "description" : "",
-    "fieldName" : "season",
-    "position" : 1,
-    "renderTypeName" : "text",
-    "tableColumnId" : 144353839,
-    "cachedContents" : {
-      "non_null" : "497324",
-      "largest" : "2025-26",
-      "null" : "8460",
-      "top" : [ {
-        "item" : "2024-25",
-        "count" : "71647"
-      }, {
-        "item" : "2020-21",
-        "count" : "66984"
-      }, {
-        "item" : "2023-24",
-        "count" : "66543"
-      }, {
-        "item" : "2022-23",
-        "count" : "66543"
-      }, {
-        "item" : "2021-22",
-        "count" : "65877"
-      }, {
-        "item" : "2025-26",
-        "count" : "56957"
-      }, {
-        "item" : "2019-20",
-        "count" : "39545"
-      }, {
-        "item" : "2018-19",
-        "count" : "39545"
-      }, {
-        "item" : "2017-18",
-        "count" : "12385"
-      }, {
-        "item" : "2016-17",
-        "count" : "11298"
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-      "smallest" : "2016-17",
-      "count" : "505784",
-      "cardinality" : "505784"
-    },
-    "format" : { }
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-    "id" : 636681657,
-    "name" : "Date",
-    "dataTypeName" : "text",
-    "description" : "Date",
-    "fieldName" : "date",
-    "position" : 2,
-    "renderTypeName" : "text",
-    "tableColumnId" : 169038379,
-    "cachedContents" : {
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-      "largest" : "202607.0",
-      "null" : "0",
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-        "count" : "1342"
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-        "item" : "2026-06-06",
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-        "count" : "1342"
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-        "item" : "2026-05-09",
-        "count" : "1342"
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-        "count" : "1342"
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-        "count" : "1340"
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-        "item" : "2026-01-10",
-        "count" : "1340"
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-    "custom_fields" : {
-      "Data Quality" : {
-        "Suggested Citation" : "“RSV-NET:  Respiratory Syncytial Virus Hospitalization Surveillance Network, Centers for Disease Control and Prevention. WEBSITE. Accessed on DATE”."
-      },
-      "Common Core" : {
-        "Contact Email" : "resp-net@cdc.gov",
-        "Homepage" : "https://www.cdc.gov/rsv/php/surveillance/rsv-net.html",
-        "Contact Name" : "RESP-NET",
-        "Update Frequency" : "Weekly",
-        "Program Code" : "009:038",
-        "Geographic Coverage" : "RSV-NET Sites",
-        "Publisher" : "CDC",
-        "Bureau Code" : "009:20",
-        "Public Access Level" : "public"
-      }
-    },
-    "rowLabel" : "Each row represents an aggregate RSV-NET observation for a specific combination of surveillance period, geographic area, age group, and measure. Measures may include hospitalization rates and selected clinical characteristics.",
-    "availableDisplayTypes" : [ "table", "fatrow", "page" ]
-  },
-  "owner" : {
-    "id" : "mwsw-x2sy",
-    "displayName" : "RESP-NET",
-    "screenName" : "RESP-NET",
-    "type" : "interactive",
-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
-  },
-  "query" : { },
-  "rights" : [ "read" ],
-  "tableAuthor" : {
-    "id" : "mwsw-x2sy",
-    "displayName" : "RESP-NET",
-    "screenName" : "RESP-NET",
-    "type" : "interactive",
-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
-  },
-  "tags" : [ "rsv", "surveillance", "respiratory disease", "respiratory syncytial virus", "respiratory illness", "respiratory virus response", "hospitalizations", "hospitalization", "hospitalization rate", "rate", "rates by race and ethnicity", "rsv-net", "rsvnet", "age-adjusted rates", "age-adjusted rates by race and ethnicity" ],
-  "flags" : [ "default", "ownerMayBeContacted", "restorable", "restorePossibleForType" ]
-}
diff --git a/data/raw/6jg4-xsqq.csv.xz b/data/raw/6jg4-xsqq.csv.xz
deleted file mode 100644
index 7e6b5a0b2..000000000
Binary files a/data/raw/6jg4-xsqq.csv.xz and /dev/null differ
diff --git a/data/raw/6jg4-xsqq.json b/data/raw/6jg4-xsqq.json
deleted file mode 100644
index 5c0d3d6ca..000000000
--- a/data/raw/6jg4-xsqq.json
+++ /dev/null
@@ -1,683 +0,0 @@
-{
-  "id" : "6jg4-xsqq",
-  "name" : "COVID-NET Rates and Clinical Data",
-  "assetType" : "dataset",
-  "attribution" : "RESP-NET",
-  "attributionLink" : "https://www.cdc.gov/covid/php/covid-net/index.html",
-  "averageRating" : 0,
-  "category" : "Public Health Surveillance",
-  "createdAt" : 1714481352,
-  "description" : "This dataset includes hospitalization rates and selected clinical characteristics from COVID-NET for laboratory-confirmed COVID-19-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across COVID-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
-  "diciBackend" : false,
-  "displayType" : "table",
-  "downloadCount" : 14541,
-  "hideFromCatalog" : false,
-  "hideFromDataJson" : false,
-  "licenseId" : "USGOV_WORKS",
-  "locked" : false,
-  "newBackend" : true,
-  "numberOfComments" : 0,
-  "oid" : 42268877,
-  "provenance" : "official",
-  "publicationAppendEnabled" : false,
-  "publicationDate" : 1783436994,
-  "publicationGroup" : 19514103,
-  "publicationStage" : "published",
-  "rowsUpdatedAt" : 1783618927,
-  "rowsUpdatedBy" : "mwsw-x2sy",
-  "tableId" : 20452641,
-  "totalTimesRated" : 0,
-  "viewCount" : 17648,
-  "viewLastModified" : 1783618833,
-  "viewType" : "tabular",
-  "approvals" : [ {
-    "reviewedAt" : 1714481649,
-    "reviewedAutomatically" : true,
-    "state" : "approved",
-    "submissionId" : 7559272,
-    "submissionObject" : "public_audience_request",
-    "submissionOutcome" : "change_audience",
-    "submittedAt" : 1714481649,
-    "targetAudience" : "public",
-    "workflowId" : 2100,
-    "submissionDetails" : {
-      "permissionType" : "READ"
-    },
-    "submissionOutcomeApplication" : {
-      "endedAt" : 1714481649,
-      "failureCount" : 0,
-      "startedAt" : 1714481649,
-      "status" : "success"
-    },
-    "submitter" : {
-      "id" : "mwsw-x2sy",
-      "displayName" : "RESP-NET"
-    }
-  } ],
-  "clientContext" : {
-    "clientContextVariables" : [ ],
-    "inheritedVariables" : { }
-  },
-  "columns" : [ {
-    "id" : 636681278,
-    "name" : "Season",
-    "dataTypeName" : "text",
-    "description" : "Season of Surveillance",
-    "fieldName" : "season",
-    "position" : 1,
-    "renderTypeName" : "text",
-    "tableColumnId" : 152405225,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "2025-26",
-      "null" : "0",
-      "top" : [ {
-        "item" : "2020-21",
-        "count" : "79353"
-      }, {
-        "item" : "2021-22",
-        "count" : "76241"
-      }, {
-        "item" : "2022-23",
-        "count" : "73557"
-      }, {
-        "item" : "2023-24",
-        "count" : "73557"
-      }, {
-        "item" : "2024-25",
-        "count" : "73557"
-      }, {
-        "item" : "2025-26",
-        "count" : "61079"
-      }, {
-        "item" : "2019-20",
-        "count" : "44822"
-      } ],
-      "smallest" : "2019-20",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681287,
-    "name" : "Date Type",
-    "dataTypeName" : "text",
-    "description" : "Type of Date: Season, Week Ending Date, or Year and Month",
-    "fieldName" : "date_type",
-    "position" : 2,
-    "renderTypeName" : "text",
-    "tableColumnId" : 169038243,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "Year and Month",
-      "null" : "0",
-      "top" : [ {
-        "item" : "Week Ending Date",
-        "count" : "432128"
-      }, {
-        "item" : "Year and Month",
-        "count" : "49247"
-      }, {
-        "item" : "Season",
-        "count" : "791"
-      } ],
-      "smallest" : "Season",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681288,
-    "name" : "Date",
-    "dataTypeName" : "text",
-    "description" : "Date",
-    "fieldName" : "date",
-    "position" : 3,
-    "renderTypeName" : "text",
-    "tableColumnId" : 169038244,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "Sep 2025",
-      "null" : "0",
-      "top" : [ {
-        "item" : "2026-05-23",
-        "count" : "1354"
-      }, {
-        "item" : "2026-07-04",
-        "count" : "1354"
-      }, {
-        "item" : "2026-06-27",
-        "count" : "1354"
-      }, {
-        "item" : "2026-06-06",
-        "count" : "1354"
-      }, {
-        "item" : "2026-05-16",
-        "count" : "1354"
-      }, {
-        "item" : "2026-06-13",
-        "count" : "1354"
-      }, {
-        "item" : "2026-05-30",
-        "count" : "1354"
-      }, {
-        "item" : "2026-06-20",
-        "count" : "1354"
-      }, {
-        "item" : "2020-03-07",
-        "count" : "1352"
-      }, {
-        "item" : "2020-03-28",
-        "count" : "1352"
-      }, {
-        "item" : "2020-07-04",
-        "count" : "1352"
-      }, {
-        "item" : "2020-05-02",
-        "count" : "1352"
-      }, {
-        "item" : "2020-05-09",
-        "count" : "1352"
-      }, {
-        "item" : "2020-05-16",
-        "count" : "1352"
-      }, {
-        "item" : "2020-07-11",
-        "count" : "1352"
-      }, {
-        "item" : "2020-04-25",
-        "count" : "1352"
-      }, {
-        "item" : "2020-06-13",
-        "count" : "1352"
-      }, {
-        "item" : "2020-04-18",
-        "count" : "1352"
-      }, {
-        "item" : "2020-03-21",
-        "count" : "1352"
-      }, {
-        "item" : "2020-06-06",
-        "count" : "1352"
-      } ],
-      "smallest" : "2019-20",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681280,
-    "name" : "Age Category",
-    "dataTypeName" : "text",
-    "description" : "Age Category",
-    "fieldName" : "agecat_label",
-    "position" : 4,
-    "renderTypeName" : "text",
-    "tableColumnId" : 152405226,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "All",
-      "null" : "0",
-      "top" : [ {
-        "item" : "All",
-        "count" : "92767"
-      }, {
-        "item" : "0-17 years (Children)",
-        "count" : "85638"
-      }, {
-        "item" : "≥18 years (Adults)",
-        "count" : "85624"
-      }, {
-        "item" : "18-49 years",
-        "count" : "11179"
-      }, {
-        "item" : "≥65 years",
-        "count" : "11172"
-      }, {
-        "item" : "50-64 years",
-        "count" : "11172"
-      }, {
-        "item" : "5-17 years",
-        "count" : "11165"
-      }, {
-        "item" : "0-4 years",
-        "count" : "11158"
-      }, {
-        "item" : "65-74 years",
-        "count" : "11081"
-      }, {
-        "item" : "0-<1 year",
-        "count" : "11060"
-      }, {
-        "item" : "12-17 years",
-        "count" : "11060"
-      }, {
-        "item" : "1-4 years",
-        "count" : "11060"
-      }, {
-        "item" : "5-11 years",
-        "count" : "11060"
-      }, {
-        "item" : "≥75 years",
-        "count" : "11060"
-      }, {
-        "item" : "75-84 years",
-        "count" : "10673"
-      }, {
-        "item" : "≥85 years",
-        "count" : "10673"
-      }, {
-        "item" : "18-29 years",
-        "count" : "10652"
-      }, {
-        "item" : "1-<2 years",
-        "count" : "10652"
-      }, {
-        "item" : "6mo-<12 months",
-        "count" : "10652"
-      }, {
-        "item" : "0-<6 months",
-        "count" : "10652"
-      } ],
-      "smallest" : "0-17 years (Children)",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681282,
-    "name" : "Race",
-    "dataTypeName" : "text",
-    "description" : "Race and Ethnicity",
-    "fieldName" : "race_label",
-    "position" : 5,
-    "renderTypeName" : "text",
-    "tableColumnId" : 152405228,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "White, non-Hispanic",
-      "null" : "0",
-      "top" : [ {
-        "item" : "All",
-        "count" : "316201"
-      }, {
-        "item" : "Black, non-Hispanic",
-        "count" : "33117"
-      }, {
-        "item" : "Hispanic",
-        "count" : "33117"
-      }, {
-        "item" : "White, non-Hispanic",
-        "count" : "33117"
-      }, {
-        "item" : "A/PI, non-Hispanic",
-        "count" : "33103"
-      }, {
-        "item" : "AI/AN, non-Hispanic",
-        "count" : "33103"
-      }, {
-        "item" : "Unknown",
-        "count" : "408"
-      } ],
-      "smallest" : "AI/AN, non-Hispanic",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681281,
-    "name" : "Sex",
-    "dataTypeName" : "text",
-    "description" : "Sex",
-    "fieldName" : "sex_label",
-    "position" : 6,
-    "renderTypeName" : "text",
-    "tableColumnId" : 152405227,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "Male",
-      "null" : "0",
-      "top" : [ {
-        "item" : "All",
-        "count" : "417438"
-      }, {
-        "item" : "Female",
-        "count" : "32364"
-      }, {
-        "item" : "Male",
-        "count" : "32364"
-      } ],
-      "smallest" : "All",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681277,
-    "name" : "State",
-    "dataTypeName" : "text",
-    "description" : "COVID-NET Catchment Site",
-    "fieldName" : "state",
-    "position" : 7,
-    "renderTypeName" : "text",
-    "tableColumnId" : 152405224,
-    "cachedContents" : {
-      "non_null" : "482166",
-      "largest" : "WA",
-      "null" : "0",
-      "top" : [ {
-        "item" : "COVID-NET",
-        "count" : "45862"
-      }, {
-        "item" : "CO",
-        "count" : "32384"
-      }, {
-        "item" : "CT",
-        "count" : "32384"
-      }, {
-        "item" : "GA",
-        "count" : "32384"
-      }, {
-        "item" : "CA",
-        "count" : "32384"
-      }, {
-        "item" : "NY",
-        "count" : "32384"
-      }, {
-        "item" : "OR",
-        "count" : "32384"
-      }, {
-        "item" : "TN",
-        "count" : "32384"
-      }, {
-        "item" : "UT",
-        "count" : "32384"
-      }, {
-        "item" : "MD",
-        "count" : "32384"
-      }, {
-        "item" : "MI",
-        "count" : "32384"
-      }, {
-        "item" : "MN",
-        "count" : "32384"
-      }, {
-        "item" : "NM",
-        "count" : "32384"
-      }, {
-        "item" : "OH",
-        "count" : "23320"
-      }, {
-        "item" : "IA",
-        "count" : "11352"
-      }, {
-        "item" : "NC",
-        "count" : "9064"
-      }, {
-        "item" : "WA",
-        "count" : "3960"
-      } ],
-      "smallest" : "CA",
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-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
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-    "name" : "Data Type",
-    "dataTypeName" : "text",
-    "description" : "\t\nRate or Clinical Data",
-    "fieldName" : "data_type",
-    "position" : 8,
-    "renderTypeName" : "text",
-    "tableColumnId" : 169038245,
-    "cachedContents" : {
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-      "largest" : "Weekly Rate",
-      "null" : "0",
-      "top" : [ {
-        "item" : "Cumulative Rate",
-        "count" : "212423"
-      }, {
-        "item" : "Weekly Rate",
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-        "item" : "Monthly Rate",
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-      }, {
-        "item" : "Demographic Information",
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-      }, {
-        "item" : "Admitted to Intensive Care Unit",
-        "count" : "91"
-      }, {
-        "item" : "Invasive Mechanical Ventilation",
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-      }, {
-        "item" : "In-Hospital Death",
-        "count" : "49"
-      }, {
-        "item" : "Asthma",
-        "count" : "42"
-      }, {
-        "item" : "Diabetes",
-        "count" : "42"
-      }, {
-        "item" : "Gastrointestinal/Liver Disease",
-        "count" : "42"
-      }, {
-        "item" : "Immune Suppression",
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-      }, {
-        "item" : "≥1 Underlying Condition",
-        "count" : "42"
-      }, {
-        "item" : "Cardiovascular Disease",
-        "count" : "42"
-      }, {
-        "item" : "Kidney Disease",
-        "count" : "42"
-      }, {
-        "item" : "Likely COVID-19 Reason for Admission",
-        "count" : "42"
-      }, {
-        "item" : "Metabolic Disease (Not Including Diabetes)",
-        "count" : "42"
-      }, {
-        "item" : "Autoimmune Disease",
-        "count" : "42"
-      }, {
-        "item" : "Neurologic Disease",
-        "count" : "42"
-      }, {
-        "item" : "Chronic Lung Disease (Not Including Asthma)",
-        "count" : "42"
-      }, {
-        "item" : "Severe Obesity (BMI ≥40)",
-        "count" : "28"
-      } ],
-      "smallest" : "≥1 Underlying Condition",
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-      "cardinality" : "482166"
-    },
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-  }, {
-    "id" : 636681290,
-    "name" : "Estimate Type",
-    "dataTypeName" : "text",
-    "description" : "\t\nType of Estimate: Rate or Percent",
-    "fieldName" : "estimate_type",
-    "position" : 9,
-    "renderTypeName" : "text",
-    "tableColumnId" : 169038246,
-    "cachedContents" : {
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-      "largest" : "Rate per 100,000",
-      "null" : "0",
-      "top" : [ {
-        "item" : "Rate per 100,000",
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-        "item" : "Percent",
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-      "smallest" : "Percent",
-      "count" : "482166",
-      "cardinality" : "482166"
-    },
-    "format" : { }
-  }, {
-    "id" : 636681283,
-    "name" : "Rate Type",
-    "dataTypeName" : "text",
-    "description" : "Rate Type",
-    "fieldName" : "rate_type",
-    "position" : 10,
-    "renderTypeName" : "text",
-    "tableColumnId" : 153268884,
-    "cachedContents" : {
-      "non_null" : "472399",
-      "largest" : "Observed",
-      "null" : "9767",
-      "top" : [ {
-        "item" : "Observed",
-        "count" : "468688"
-      }, {
-        "item" : "Age-Adjusted",
-        "count" : "3695"
-      }, {
-        "item" : "Estimated",
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-      } ],
-      "smallest" : "Age-Adjusted",
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-      "cardinality" : "482166"
-    },
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-  }, {
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-    "name" : "Estimate",
-    "dataTypeName" : "text",
-    "description" : "\t\nPoint Estimate",
-    "fieldName" : "estimate",
-    "position" : 11,
-    "renderTypeName" : "text",
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-    "cachedContents" : {
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-      "largest" : "999.9",
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-      }, {
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-      }, {
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-      }, {
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-      "smallest" : "0.0",
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-  } ],
-  "grants" : [ {
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-    "type" : "viewer",
-    "flags" : [ "public" ]
-  } ],
-  "license" : {
-    "name" : "Public Domain U.S. Government",
-    "termsLink" : "https://www.usa.gov/government-works"
-  },
-  "metadata" : {
-    "custom_fields" : {
-      "Data Quality" : {
-        "Suggested Citation" : "“COVID-NET: Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network, Centers for Disease Control and Prevention. WEBSITE. Accessed on DATE”"
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-      "Common Core" : {
-        "Contact Email" : "resp-net@cdc.gov",
-        "Homepage" : "https://www.cdc.gov/covid/php/covid-net/index.html",
-        "Contact Name" : "RESP-NET",
-        "Update Frequency" : "Weekly",
-        "Program Code" : "009:038",
-        "Geographic Coverage" : "COVID-NET Sites",
-        "Bureau Code" : "009:20",
-        "Public Access Level" : "public"
-      }
-    },
-    "rowLabel" : "Each row represents an aggregate COVID-NET observation for a specific combination of surveillance period, geographic area, age group, and measure. Measures may include hospitalization rates and selected clinical characteristics.",
-    "availableDisplayTypes" : [ "table", "fatrow", "page" ]
-  },
-  "owner" : {
-    "id" : "mwsw-x2sy",
-    "displayName" : "RESP-NET",
-    "screenName" : "RESP-NET",
-    "type" : "interactive",
-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
-  },
-  "query" : { },
-  "rights" : [ "read" ],
-  "tableAuthor" : {
-    "id" : "mwsw-x2sy",
-    "displayName" : "RESP-NET",
-    "screenName" : "RESP-NET",
-    "type" : "interactive",
-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
-  },
-  "tags" : [ "covid19", "covid", "covid-19", "surveillance", "hospitalizations", "respiratory virus response", "respiratory illness", "covid-net", "resp-net", "covidnet", "respnet", "hospitalization rate", "rate", "rates by race and ethnicity", "rates by age group" ],
-  "flags" : [ "default", "ownerMayBeContacted", "restorable", "restorePossibleForType" ]
-}
diff --git a/data/raw/kvib-3txy.csv.xz b/data/raw/kvib-3txy.csv.xz
deleted file mode 100644
index c06dd7010..000000000
Binary files a/data/raw/kvib-3txy.csv.xz and /dev/null differ
diff --git a/data/raw/kvib-3txy.json b/data/raw/kvib-3txy.json
deleted file mode 100644
index a40c086b5..000000000
--- a/data/raw/kvib-3txy.json
+++ /dev/null
@@ -1,715 +0,0 @@
-{
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-  "name" : "RESP-NET Rates and Clinical Data",
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-  "hideFromDataJson" : false,
-  "licenseId" : "USGOV_WORKS",
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-  "oid" : 42254997,
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-    "displayName" : "RESP-NET",
-    "screenName" : "RESP-NET",
-    "type" : "interactive",
-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
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-    "flags" : [ "acceptedEula", "mayBeStoriesCoOwner" ]
-  },
-  "tags" : [ "covid-19", "covid19", "covid", "respiratory syncytial virus", "rsv", "flu", "influenza", "hospitalizations", "hospitalization", "hospitalization rate", "respnet", "resp-net", "respiratory virus response", "respiratory illness", "surveillance", "rate", "rates by race and ethnicity", "rates by age group", "covidnet", "covid-net", "flusurvnet", "flusurv-net", "flunet", "flu-net" ],
-  "flags" : [ "default", "ownerMayBeContacted", "restorable", "restorePossibleForType" ]
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diff --git a/data/respnet/process.json b/data/respnet/process.json
index bac5ab50b..0969bc4a3 100644
--- a/data/respnet/process.json
+++ b/data/respnet/process.json
@@ -9,88 +9,46 @@
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+          "⠙ processing source respnet (./data/respnet/ingest.R)\r",
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         "success": true
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-    "./data/respnet/standard/datapackage.json": "d6fb467246a14ad5b80125ee526f279d"
-  },
   "standard_state": {
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diff --git a/data/vaccine_exemptions_fattah/process.json b/data/vaccine_exemptions_fattah/process.json
index 9ea26bf29..f696b8653 100644
--- a/data/vaccine_exemptions_fattah/process.json
+++ b/data/vaccine_exemptions_fattah/process.json
@@ -20,45 +20,6 @@
       }
     }
   ],
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-      "measles_overall_trends.csv.gz",
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-      "measles_geographic_summary.csv.gz",
-      "measles_detection_status.parquet",
-      "measles_detection_status.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
-    "vaccine_exemptions_kiang/standard/data.csv.gz": [
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-      "measles_exemptions_trends.csv.gz",
-      "measles_exemptions_with_wastewater.parquet",
-      "measles_exemptions_with_wastewater.csv.gz"
-    ],
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-      "measles_wapo_counties.csv.gz",
-      "measles_wapo_counties_with_cases.parquet",
-      "measles_wapo_counties_with_cases.csv.gz"
-    ],
-    "schoolvaxview/standard/data_wapo_schools.csv.gz": [
-      "measles_wapo_schools.parquet",
-      "measles_wapo_schools.csv.gz"
-    ],
-    "measles_age_cdc2/standard/data.csv.gz": [
-      "measles_cases_by_age.parquet"
-    ]
-  },
-  "dist_state": {
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-    "./data/bundle_measles/dist/measles_county.parquet": "7df505dd90f31d4744c0defba6d6275b",
-    "./data/bundle_measles/dist/measles_state.parquet": "3a8910c64951a5dba34a2136ac5e5f69",
-    "./data/wastewater_measles/standard/datapackage.json": "847728d42068912737be4c2c8aed78c7",
-    "./data/schoolvaxview/standard/datapackage.json": "2757b8af5d1ca1d8c60effffc2c21690",
-    "./data/measles_age_cdc2/standard/datapackage.json": "5c00e639800d0cf9447b6452adc96ab6"
-  },
   "standard_state": {
     "./data/vaccine_exemptions_fattah/measure_info.json": "79f409e929310ba37be04cde527b641a",
     "./data/vaccine_exemptions_fattah/standard/data_county.csv.gz": "0579a21fc119e0e789e1bba6cfc9f8d7",
@@ -68,7 +29,10 @@
   "checked": "2026-07-24 19:27:35",
   "check_results": {
     "data/vaccine_exemptions_fattah/standard/data_county.csv.gz": {
-      "measures": ["type_changed: geography", "missing_info: is_state_estimate"]
+      "measures": [
+        "type_changed: geography",
+        "missing_info: is_state_estimate"
+      ]
     },
     "data/vaccine_exemptions_fattah/standard/data_state.csv.gz": {
       "measures": "type_changed: geography"
diff --git a/data/wastewater_measles/process.json b/data/wastewater_measles/process.json
index 46ca7b1a3..c9585d36a 100644
--- a/data/wastewater_measles/process.json
+++ b/data/wastewater_measles/process.json
@@ -9,51 +9,24 @@
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+        "log": [
+          "",
+          "⠙ processing source wastewater_measles (./data/wastewater_measles/ingest.R)\r── downloading resource <https://data.cdc.gov/resource/akvg-8vrb> ──────────────",
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+          "✔ compressing data [7.4s]",
+          "",
+          "⠙ processing source wastewater_measles (./data/wastewater_measles/ingest.R)\r"
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         "success": true
       }
     }
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diff --git a/data/wisqars/raw/staging_nvdrs/nvdrs-data-export.csv b/data/wisqars/raw/staging_nvdrs/nvdrs-data-export.csv
deleted file mode 100644
index d00bcd648..000000000
--- a/data/wisqars/raw/staging_nvdrs/nvdrs-data-export.csv
+++ /dev/null
@@ -1,9725 +0,0 @@
-"Intent or Manner","Age Group","State","Race","Death Count","Population","Crude Rate"
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-"Suicide","0 to 4","Alabama","Black","--","89,099","--"
-"Suicide","0 to 4","Alaska","White","--","23,352","--"
-"Suicide","0 to 4","Alaska","Black","--","1,810","--"
-"Suicide","0 to 4","Arizona","White","--","296,789","--"
-"Suicide","0 to 4","Arizona","Black","--","27,145","--"
-"Suicide","0 to 4","Arkansas","White","--","127,187","--"
-"Suicide","0 to 4","Arkansas","Black","--","35,259","--"
-"Suicide","0 to 4","California","White","--","918,284","--"
-"Suicide","0 to 4","California","Black","--","84,896","--"
-"Suicide","0 to 4","Colorado","White","--","241,393","--"
-"Suicide","0 to 4","Colorado","Black","--","20,295","--"
-"Suicide","0 to 4","Connecticut","White","--","124,676","--"
-"Suicide","0 to 4","Connecticut","Black","--","30,095","--"
-"Suicide","0 to 4","Delaware","White","--","30,969","--"
-"Suicide","0 to 4","Delaware","Black","--","15,323","--"
-"Suicide","0 to 4","District of Columbia","White","--","15,627","--"
-"Suicide","0 to 4","District of Columbia","Black","--","18,658","--"
-"Suicide","0 to 4","Florida","White","--","533,690","--"
-"Suicide","0 to 4","Florida","Black","--","178,163","--"
-"Suicide","0 to 4","Georgia","White","--","335,064","--"
-"Suicide","0 to 4","Georgia","Black","--","227,140","--"
-"Suicide","0 to 4","Hawaii","White","--","15,012","--"
-"Suicide","0 to 4","Hawaii","Black","--","1,896","--"
-"Suicide","0 to 4","Idaho","White","--","100,323","--"
-"Suicide","0 to 4","Idaho","Black","--","1,752","--"
-"Suicide","0 to 4","Illinois","White","--","481,889","--"
-"Suicide","0 to 4","Illinois","Black","--","116,710","--"
-"Suicide","0 to 4","Indiana","White","--","313,669","--"
-"Suicide","0 to 4","Indiana","Black","--","53,660","--"
-"Suicide","0 to 4","Iowa","White","--","154,058","--"
-"Suicide","0 to 4","Iowa","Black","--","13,703","--"
-"Suicide","0 to 4","Kansas","White","--","141,473","--"
-"Suicide","0 to 4","Kansas","Black","--","13,238","--"
-"Suicide","0 to 4","Kentucky","White","--","213,657","--"
-"Suicide","0 to 4","Kentucky","Black","--","27,248","--"
-"Suicide","0 to 4","Louisiana","White","--","153,492","--"
-"Suicide","0 to 4","Louisiana","Black","--","106,289","--"
-"Suicide","0 to 4","Maine","White","--","54,442","--"
-"Suicide","0 to 4","Maine","Black","--","2,822","--"
-"Suicide","0 to 4","Maryland","White","--","181,975","--"
-"Suicide","0 to 4","Maryland","Black","--","113,480","--"
-"Suicide","0 to 4","Massachusetts","White","--","236,165","--"
-"Suicide","0 to 4","Massachusetts","Black","--","52,496","--"
-"Suicide","0 to 4","Michigan","White","--","380,098","--"
-"Suicide","0 to 4","Michigan","Black","--","98,116","--"
-"Suicide","0 to 4","Minnesota","White","--","237,344","--"
-"Suicide","0 to 4","Minnesota","Black","--","40,249","--"
-"Suicide","0 to 4","Mississippi","White","--","89,424","--"
-"Suicide","0 to 4","Mississippi","Black","--","75,092","--"
-"Suicide","0 to 4","Missouri","White","--","266,780","--"
-"Suicide","0 to 4","Missouri","Black","--","52,085","--"
-"Suicide","0 to 4","Montana","White","--","47,093","--"
-"Suicide","0 to 4","Montana","Black","--","490","--"
-"Suicide","0 to 4","Nebraska","White","--","99,031","--"
-"Suicide","0 to 4","Nebraska","Black","--","9,179","--"
-"Suicide","0 to 4","Nevada","White","--","109,375","--"
-"Suicide","0 to 4","Nevada","Black","--","25,766","--"
-"Suicide","0 to 4","New Hampshire","White","--","55,451","--"
-"Suicide","0 to 4","New Hampshire","Black","--","2,002","--"
-"Suicide","0 to 4","New Jersey","White","--","332,263","--"
-"Suicide","0 to 4","New Jersey","Black","--","94,492","--"
-"Suicide","0 to 4","New Mexico","White","--","81,687","--"
-"Suicide","0 to 4","New Mexico","Black","--","3,549","--"
-"Suicide","0 to 4","New York","White","--","657,477","--"
-"Suicide","0 to 4","New York","Black","--","219,142","--"
-"Suicide","0 to 4","North Carolina","White","--","365,980","--"
-"Suicide","0 to 4","North Carolina","Black","--","151,185","--"
-"Suicide","0 to 4","North Dakota","White","--","37,635","--"
-"Suicide","0 to 4","North Dakota","Black","--","3,388","--"
-"Suicide","0 to 4","Ohio","White","--","482,242","--"
-"Suicide","0 to 4","Ohio","Black","--","112,281","--"
-"Suicide","0 to 4","Oklahoma","White","--","149,184","--"
-"Suicide","0 to 4","Oklahoma","Black","--","23,449","--"
-"Suicide","0 to 4","Oregon","White","--","161,587","--"
-"Suicide","0 to 4","Oregon","Black","--","6,167","--"
-"Suicide","0 to 4","Pennsylvania","White","--","482,785","--"
-"Suicide","0 to 4","Pennsylvania","Black","--","108,552","--"
-"Suicide","0 to 4","Rhode Island","White","--","37,347","--"
-"Suicide","0 to 4","Rhode Island","Black","--","7,223","--"
-"Suicide","0 to 4","South Carolina","White","--","174,248","--"
-"Suicide","0 to 4","South Carolina","Black","--","86,126","--"
-"Suicide","0 to 4","South Dakota","White","--","42,132","--"
-"Suicide","0 to 4","South Dakota","Black","--","2,414","--"
-"Suicide","0 to 4","Tennessee","White","--","288,863","--"
-"Suicide","0 to 4","Tennessee","Black","--","81,357","--"
-"Suicide","0 to 4","Texas","White","--","822,522","--"
-"Suicide","0 to 4","Texas","Black","--","215,347","--"
-"Suicide","0 to 4","Utah","White","--","199,577","--"
-"Suicide","0 to 4","Utah","Black","--","4,364","--"
-"Suicide","0 to 4","Vermont","White","--","24,870","--"
-"Suicide","0 to 4","Vermont","Black","--","651","--"
-"Suicide","0 to 4","Virginia","White","--","303,460","--"
-"Suicide","0 to 4","Virginia","Black","--","108,228","--"
-"Suicide","0 to 4","Washington","White","--","287,699","--"
-"Suicide","0 to 4","Washington","Black","--","24,308","--"
-"Suicide","0 to 4","West Virginia","White","--","78,223","--"
-"Suicide","0 to 4","West Virginia","Black","--","3,606","--"
-"Suicide","0 to 4","Wisconsin","White","--","242,169","--"
-"Suicide","0 to 4","Wisconsin","Black","--","32,763","--"
-"Suicide","0 to 4","Wyoming","White","--","27,196","--"
-"Suicide","0 to 4","Wyoming","Black","--","489","--"
-"Suicide","5 to 9","Alabama","White","--","195,845","--"
-"Suicide","5 to 9","Alabama","Black","--","88,383","--"
-"Suicide","5 to 9","Alaska","White","--","26,339","--"
-"Suicide","5 to 9","Alaska","Black","--","1,903","--"
-"Suicide","5 to 9","Arizona","White","--","329,307","--"
-"Suicide","5 to 9","Arizona","Black","--","30,234","--"
-"Suicide","5 to 9","Arkansas","White","--","139,243","--"
-"Suicide","5 to 9","Arkansas","Black","--","34,774","--"
-"Suicide","5 to 9","California","White","--","1,021,998","--"
-"Suicide","5 to 9","California","Black","--","85,783","--"
-"Suicide","5 to 9","Colorado","White","--","268,503","--"
-"Suicide","5 to 9","Colorado","Black","--","18,706","--"
-"Suicide","5 to 9","Connecticut","White","--","140,462","--"
-"Suicide","5 to 9","Connecticut","Black","--","29,507","--"
-"Suicide","5 to 9","Delaware","White","--","33,312","--"
-"Suicide","5 to 9","Delaware","Black","--","16,117","--"
-"Suicide","5 to 9","District of Columbia","White","--","12,913","--"
-"Suicide","5 to 9","District of Columbia","Black","--","20,234","--"
-"Suicide","5 to 9","Florida","White","--","568,242","--"
-"Suicide","5 to 9","Florida","Black","--","194,715","--"
-"Suicide","5 to 9","Georgia","White","--","366,117","--"
-"Suicide","5 to 9","Georgia","Black","--","241,878","--"
-"Suicide","5 to 9","Hawaii","White","--","16,226","--"
-"Suicide","5 to 9","Hawaii","Black","--","1,849","--"
-"Suicide","5 to 9","Idaho","White","--","114,789","--"
-"Suicide","5 to 9","Idaho","Black","--","1,484","--"
-"Suicide","5 to 9","Illinois","White","--","536,488","--"
-"Suicide","5 to 9","Illinois","Black","--","124,564","--"
-"Suicide","5 to 9","Indiana","White","--","339,678","--"
-"Suicide","5 to 9","Indiana","Black","--","54,854","--"
-"Suicide","5 to 9","Iowa","White","--","168,273","--"
-"Suicide","5 to 9","Iowa","Black","--","12,952","--"
-"Suicide","5 to 9","Kansas","White","--","156,022","--"
-"Suicide","5 to 9","Kansas","Black","--","13,212","--"
-"Suicide","5 to 9","Kentucky","White","--","228,872","--"
-"Suicide","5 to 9","Kentucky","Black","--","26,767","--"
-"Suicide","5 to 9","Louisiana","White","--","166,006","--"
-"Suicide","5 to 9","Louisiana","Black","--","108,466","--"
-"Suicide","5 to 9","Maine","White","--","60,618","--"
-"Suicide","5 to 9","Maine","Black","--","2,375","--"
-"Suicide","5 to 9","Maryland","White","--","194,022","--"
-"Suicide","5 to 9","Maryland","Black","--","121,062","--"
-"Suicide","5 to 9","Massachusetts","White","--","260,644","--"
-"Suicide","5 to 9","Massachusetts","Black","--","46,792","--"
-"Suicide","5 to 9","Michigan","White","--","420,464","--"
-"Suicide","5 to 9","Michigan","Black","--","100,527","--"
-"Suicide","5 to 9","Minnesota","White","--","260,924","--"
-"Suicide","5 to 9","Minnesota","Black","--","43,820","--"
-"Suicide","5 to 9","Mississippi","White","--","97,202","--"
-"Suicide","5 to 9","Mississippi","Black","--","74,257","--"
-"Suicide","5 to 9","Missouri","White","--","288,933","--"
-"Suicide","5 to 9","Missouri","Black","--","52,583","--"
-"Suicide","5 to 9","Montana","White","--","53,642","--"
-"Suicide","5 to 9","Montana","Black","--","506","--"
-"Suicide","5 to 9","Nebraska","White","--","107,959","--"
-"Suicide","5 to 9","Nebraska","Black","--","9,337","--"
-"Suicide","5 to 9","Nevada","White","--","125,774","--"
-"Suicide","5 to 9","Nevada","Black","--","25,726","--"
-"Suicide","5 to 9","New Hampshire","White","--","60,463","--"
-"Suicide","5 to 9","New Hampshire","Black","--","1,950","--"
-"Suicide","5 to 9","New Jersey","White","--","355,366","--"
-"Suicide","5 to 9","New Jersey","Black","--","94,868","--"
-"Suicide","5 to 9","New Mexico","White","--","92,171","--"
-"Suicide","5 to 9","New Mexico","Black","--","3,999","--"
-"Suicide","5 to 9","New York","White","--","706,845","--"
-"Suicide","5 to 9","New York","Black","--","207,675","--"
-"Suicide","5 to 9","North Carolina","White","--","389,028","--"
-"Suicide","5 to 9","North Carolina","Black","--","152,837","--"
-"Suicide","5 to 9","North Dakota","White","--","41,662","--"
-"Suicide","5 to 9","North Dakota","Black","--","2,647","--"
-"Suicide","5 to 9","Ohio","White","--","522,622","--"
-"Suicide","5 to 9","Ohio","Black","--","118,216","--"
-"Suicide","5 to 9","Oklahoma","White","--","170,292","--"
-"Suicide","5 to 9","Oklahoma","Black","--","22,416","--"
-"Suicide","5 to 9","Oregon","White","--","186,810","--"
-"Suicide","5 to 9","Oregon","Black","--","6,815","--"
-"Suicide","5 to 9","Pennsylvania","White","--","524,297","--"
-"Suicide","5 to 9","Pennsylvania","Black","--","115,368","--"
-"Suicide","5 to 9","Rhode Island","White","--","40,792","--"
-"Suicide","5 to 9","Rhode Island","Black","--","7,127","--"
-"Suicide","5 to 9","South Carolina","White","--","191,092","--"
-"Suicide","5 to 9","South Carolina","Black","--","88,438","--"
-"Suicide","5 to 9","South Dakota","White","--","45,215","--"
-"Suicide","5 to 9","South Dakota","Black","--","2,304","--"
-"Suicide","5 to 9","Tennessee","White","--","304,096","--"
-"Suicide","5 to 9","Tennessee","Black","--","82,016","--"
-"Suicide","5 to 9","Texas","White","--","907,424","--"
-"Suicide","5 to 9","Texas","Black","--","222,505","--"
-"Suicide","5 to 9","Utah","White","--","225,081","--"
-"Suicide","5 to 9","Utah","Black","--","4,156","--"
-"Suicide","5 to 9","Vermont","White","--","28,735","--"
-"Suicide","5 to 9","Vermont","Black","--","626","--"
-"Suicide","5 to 9","Virginia","White","--","326,955","--"
-"Suicide","5 to 9","Virginia","Black","--","109,021","--"
-"Suicide","5 to 9","Washington","White","--","323,165","--"
-"Suicide","5 to 9","Washington","Black","--","24,468","--"
-"Suicide","5 to 9","West Virginia","White","--","86,725","--"
-"Suicide","5 to 9","West Virginia","Black","--","3,819","--"
-"Suicide","5 to 9","Wisconsin","White","--","265,474","--"
-"Suicide","5 to 9","Wisconsin","Black","--","33,227","--"
-"Suicide","5 to 9","Wyoming","White","--","31,456","--"
-"Suicide","5 to 9","Wyoming","Black","--","531","--"
-"Suicide","10 to 14","Alabama","White","--","205,964","--"
-"Suicide","10 to 14","Alabama","Black","--","93,054","--"
-"Suicide","10 to 14","Alaska","White","--","26,801","--"
-"Suicide","10 to 14","Alaska","Black","--","1,591","--"
-"Suicide","10 to 14","Arizona","White","--","353,118","--"
-"Suicide","10 to 14","Arizona","Black","--","31,062","--"
-"Suicide","10 to 14","Arkansas","White","--","148,612","--"
-"Suicide","10 to 14","Arkansas","Black","--","35,517","--"
-"Suicide","10 to 14","California","White","17**","1,102,895","1.54"
-"Suicide","10 to 14","California","Black","--","96,818","--"
-"Suicide","10 to 14","Colorado","White","15**","291,916","5.14"
-"Suicide","10 to 14","Colorado","Black","--","18,698","--"
-"Suicide","10 to 14","Connecticut","White","--","154,152","--"
-"Suicide","10 to 14","Connecticut","Black","--","33,262","--"
-"Suicide","10 to 14","Delaware","White","--","35,578","--"
-"Suicide","10 to 14","Delaware","Black","--","17,464","--"
-"Suicide","10 to 14","District of Columbia","White","--","10,030","--"
-"Suicide","10 to 14","District of Columbia","Black","--","19,064","--"
-"Suicide","10 to 14","Florida","White","10**","595,866","1.68"
-"Suicide","10 to 14","Florida","Black","--","199,412","--"
-"Suicide","10 to 14","Georgia","White","10**","395,408","2.53"
-"Suicide","10 to 14","Georgia","Black","--","263,115","--"
-"Suicide","10 to 14","Hawaii","White","--","14,561","--"
-"Suicide","10 to 14","Hawaii","Black","--","1,541","--"
-"Suicide","10 to 14","Idaho","White","--","124,404","--"
-"Suicide","10 to 14","Idaho","Black","--","1,458","--"
-"Suicide","10 to 14","Illinois","White","--","577,295","--"
-"Suicide","10 to 14","Illinois","Black","--","126,689","--"
-"Suicide","10 to 14","Indiana","White","13**","357,385","3.64"
-"Suicide","10 to 14","Indiana","Black","--","54,651","--"
-"Suicide","10 to 14","Iowa","White","--","177,987","--"
-"Suicide","10 to 14","Iowa","Black","--","12,077","--"
-"Suicide","10 to 14","Kansas","White","--","165,715","--"
-"Suicide","10 to 14","Kansas","Black","--","13,457","--"
-"Suicide","10 to 14","Kentucky","White","--","237,204","--"
-"Suicide","10 to 14","Kentucky","Black","--","28,434","--"
-"Suicide","10 to 14","Louisiana","White","--","169,790","--"
-"Suicide","10 to 14","Louisiana","Black","--","111,703","--"
-"Suicide","10 to 14","Maine","White","--","64,831","--"
-"Suicide","10 to 14","Maine","Black","--","2,340","--"
-"Suicide","10 to 14","Maryland","White","--","202,753","--"
-"Suicide","10 to 14","Maryland","Black","--","128,496","--"
-"Suicide","10 to 14","Massachusetts","White","--","283,173","--"
-"Suicide","10 to 14","Massachusetts","Black","--","46,221","--"
-"Suicide","10 to 14","Michigan","White","--","444,727","--"
-"Suicide","10 to 14","Michigan","Black","--","100,325","--"
-"Suicide","10 to 14","Minnesota","White","--","276,061","--"
-"Suicide","10 to 14","Minnesota","Black","--","41,186","--"
-"Suicide","10 to 14","Mississippi","White","--","105,118","--"
-"Suicide","10 to 14","Mississippi","Black","--","82,120","--"
-"Suicide","10 to 14","Missouri","White","--","305,546","--"
-"Suicide","10 to 14","Missouri","Black","--","53,259","--"
-"Suicide","10 to 14","Montana","White","--","56,230","--"
-"Suicide","10 to 14","Montana","Black","--","438","--"
-"Suicide","10 to 14","Nebraska","White","--","112,646","--"
-"Suicide","10 to 14","Nebraska","Black","--","8,930","--"
-"Suicide","10 to 14","Nevada","White","--","136,547","--"
-"Suicide","10 to 14","Nevada","Black","--","25,485","--"
-"Suicide","10 to 14","New Hampshire","White","--","65,676","--"
-"Suicide","10 to 14","New Hampshire","Black","--","2,061","--"
-"Suicide","10 to 14","New Jersey","White","--","381,256","--"
-"Suicide","10 to 14","New Jersey","Black","--","98,265","--"
-"Suicide","10 to 14","New Mexico","White","--","104,490","--"
-"Suicide","10 to 14","New Mexico","Black","--","4,199","--"
-"Suicide","10 to 14","New York","White","--","736,068","--"
-"Suicide","10 to 14","New York","Black","--","218,205","--"
-"Suicide","10 to 14","North Carolina","White","14**","423,841","3.30"
-"Suicide","10 to 14","North Carolina","Black","--","160,799","--"
-"Suicide","10 to 14","North Dakota","White","--","40,919","--"
-"Suicide","10 to 14","North Dakota","Black","--","2,253","--"
-"Suicide","10 to 14","Ohio","White","16**","549,428","2.91"
-"Suicide","10 to 14","Ohio","Black","--","118,355","--"
-"Suicide","10 to 14","Oklahoma","White","--","180,955","--"
-"Suicide","10 to 14","Oklahoma","Black","--","22,855","--"
-"Suicide","10 to 14","Oregon","White","--","202,209","--"
-"Suicide","10 to 14","Oregon","Black","--","6,843","--"
-"Suicide","10 to 14","Pennsylvania","White","11**","560,126","1.96"
-"Suicide","10 to 14","Pennsylvania","Black","--","117,603","--"
-"Suicide","10 to 14","Rhode Island","White","--","43,330","--"
-"Suicide","10 to 14","Rhode Island","Black","--","6,969","--"
-"Suicide","10 to 14","South Carolina","White","--","203,026","--"
-"Suicide","10 to 14","South Carolina","Black","--","97,936","--"
-"Suicide","10 to 14","South Dakota","White","--","47,707","--"
-"Suicide","10 to 14","South Dakota","Black","--","2,201","--"
-"Suicide","10 to 14","Tennessee","White","11**","321,100","3.43"
-"Suicide","10 to 14","Tennessee","Black","--","84,442","--"
-"Suicide","10 to 14","Texas","White","18**","953,731","1.89"
-"Suicide","10 to 14","Texas","Black","--","225,425","--"
-"Suicide","10 to 14","Utah","White","14**","242,316","5.78"
-"Suicide","10 to 14","Utah","Black","--","4,801","--"
-"Suicide","10 to 14","Vermont","White","--","30,733","--"
-"Suicide","10 to 14","Vermont","Black","--","679","--"
-"Suicide","10 to 14","Virginia","White","11**","339,961","3.24"
-"Suicide","10 to 14","Virginia","Black","--","112,671","--"
-"Suicide","10 to 14","Washington","White","12**","341,099","3.52"
-"Suicide","10 to 14","Washington","Black","--","24,373","--"
-"Suicide","10 to 14","West Virginia","White","--","93,037","--"
-"Suicide","10 to 14","West Virginia","Black","--","3,952","--"
-"Suicide","10 to 14","Wisconsin","White","--","290,509","--"
-"Suicide","10 to 14","Wisconsin","Black","--","33,235","--"
-"Suicide","10 to 14","Wyoming","White","--","34,722","--"
-"Suicide","10 to 14","Wyoming","Black","--","464","--"
-"Suicide","15 to 19","Alabama","White","18**","216,880","8.30"
-"Suicide","15 to 19","Alabama","Black","--","99,145","--"
-"Suicide","15 to 19","Alaska","White","--","24,423","--"
-"Suicide","15 to 19","Alaska","Black","--","1,548","--"
-"Suicide","15 to 19","Arizona","White","52","380,121","13.68"
-"Suicide","15 to 19","Arizona","Black","--","30,510","--"
-"Suicide","15 to 19","Arkansas","White","12**","152,386","7.87"
-"Suicide","15 to 19","Arkansas","Black","--","35,974","--"
-"Suicide","15 to 19","California","White","52","1,167,778","4.45"
-"Suicide","15 to 19","California","Black","--","101,244","--"
-"Suicide","15 to 19","Colorado","White","43","312,753","13.75"
-"Suicide","15 to 19","Colorado","Black","--","18,404","--"
-"Suicide","15 to 19","Connecticut","White","11**","184,851","5.95"
-"Suicide","15 to 19","Connecticut","Black","--","35,466","--"
-"Suicide","15 to 19","Delaware","White","--","38,858","--"
-"Suicide","15 to 19","Delaware","Black","--","17,584","--"
-"Suicide","15 to 19","District of Columbia","White","--","14,978","--"
-"Suicide","15 to 19","District of Columbia","Black","--","18,189","--"
-"Suicide","15 to 19","Florida","White","56","637,159","8.79"
-"Suicide","15 to 19","Florida","Black","14**","192,189","7.28"
-"Suicide","15 to 19","Georgia","White","40","421,291","9.49"
-"Suicide","15 to 19","Georgia","Black","24","264,705","9.07"
-"Suicide","15 to 19","Hawaii","White","--","13,445","--"
-"Suicide","15 to 19","Hawaii","Black","--","1,578","--"
-"Suicide","15 to 19","Idaho","White","19**","134,012","14.18"
-"Suicide","15 to 19","Idaho","Black","--","1,700","--"
-"Suicide","15 to 19","Illinois","White","52","607,968","8.55"
-"Suicide","15 to 19","Illinois","Black","13**","127,679","10.18"
-"Suicide","15 to 19","Indiana","White","31","373,693","8.30"
-"Suicide","15 to 19","Indiana","Black","--","53,292","--"
-"Suicide","15 to 19","Iowa","White","25","192,204","13.01"
-"Suicide","15 to 19","Iowa","Black","--","12,139","--"
-"Suicide","15 to 19","Kansas","White","26","170,880","15.22"
-"Suicide","15 to 19","Kansas","Black","--","14,109","--"
-"Suicide","15 to 19","Kentucky","White","26","239,149","10.87"
-"Suicide","15 to 19","Kentucky","Black","--","29,147","--"
-"Suicide","15 to 19","Louisiana","White","18**","170,127","10.58"
-"Suicide","15 to 19","Louisiana","Black","--","113,544","--"
-"Suicide","15 to 19","Maine","White","--","70,821","--"
-"Suicide","15 to 19","Maine","Black","--","2,548","--"
-"Suicide","15 to 19","Maryland","White","14**","210,916","6.64"
-"Suicide","15 to 19","Maryland","Black","13**","125,876","10.33"
-"Suicide","15 to 19","Massachusetts","White","21","341,219","6.15"
-"Suicide","15 to 19","Massachusetts","Black","--","48,115","--"
-"Suicide","15 to 19","Michigan","White","49","478,165","10.25"
-"Suicide","15 to 19","Michigan","Black","10**","97,777","10.23"
-"Suicide","15 to 19","Minnesota","White","37","286,376","12.92"
-"Suicide","15 to 19","Minnesota","Black","--","37,473","--"
-"Suicide","15 to 19","Mississippi","White","11**","110,623","9.94"
-"Suicide","15 to 19","Mississippi","Black","--","87,150","--"
-"Suicide","15 to 19","Missouri","White","41","315,503","13.00"
-"Suicide","15 to 19","Missouri","Black","--","53,308","--"
-"Suicide","15 to 19","Montana","White","21","57,187","36.72"
-"Suicide","15 to 19","Montana","Black","--","548","--"
-"Suicide","15 to 19","Nebraska","White","23","116,148","19.80"
-"Suicide","15 to 19","Nebraska","Black","--","8,503","--"
-"Suicide","15 to 19","Nevada","White","16**","134,472","11.90"
-"Suicide","15 to 19","Nevada","Black","--","22,771","--"
-"Suicide","15 to 19","New Hampshire","White","--","73,107","--"
-"Suicide","15 to 19","New Hampshire","Black","--","2,208","--"
-"Suicide","15 to 19","New Jersey","White","18**","397,153","4.53"
-"Suicide","15 to 19","New Jersey","Black","--","94,125","--"
-"Suicide","15 to 19","New Mexico","White","14**","111,651","12.54"
-"Suicide","15 to 19","New Mexico","Black","--","4,512","--"
-"Suicide","15 to 19","New York","White","39","803,732","4.85"
-"Suicide","15 to 19","New York","Black","--","220,809","--"
-"Suicide","15 to 19","North Carolina","White","41","465,152","8.81"
-"Suicide","15 to 19","North Carolina","Black","18**","170,592","10.55"
-"Suicide","15 to 19","North Dakota","White","--","45,303","--"
-"Suicide","15 to 19","North Dakota","Black","--","1,865","--"
-"Suicide","15 to 19","Ohio","White","50","576,605","8.67"
-"Suicide","15 to 19","Ohio","Black","24","112,976","21.24"
-"Suicide","15 to 19","Oklahoma","White","16**","186,174","8.59"
-"Suicide","15 to 19","Oklahoma","Black","--","24,525","--"
-"Suicide","15 to 19","Oregon","White","26","206,630","12.58"
-"Suicide","15 to 19","Oregon","Black","--","6,747","--"
-"Suicide","15 to 19","Pennsylvania","White","50","636,865","7.85"
-"Suicide","15 to 19","Pennsylvania","Black","--","118,367","--"
-"Suicide","15 to 19","Rhode Island","White","--","56,302","--"
-"Suicide","15 to 19","Rhode Island","Black","--","7,483","--"
-"Suicide","15 to 19","South Carolina","White","23","218,694","10.52"
-"Suicide","15 to 19","South Carolina","Black","10**","101,172","9.88"
-"Suicide","15 to 19","South Dakota","White","--","48,128","--"
-"Suicide","15 to 19","South Dakota","Black","--","1,726","--"
-"Suicide","15 to 19","Tennessee","White","35","328,074","10.67"
-"Suicide","15 to 19","Tennessee","Black","--","83,100","--"
-"Suicide","15 to 19","Texas","White","114","959,510","11.88"
-"Suicide","15 to 19","Texas","Black","29","215,566","13.45"
-"Suicide","15 to 19","Utah","White","37","245,060","15.10"
-"Suicide","15 to 19","Utah","Black","--","4,625","--"
-"Suicide","15 to 19","Vermont","White","--","37,526","--"
-"Suicide","15 to 19","Vermont","Black","--","899","--"
-"Suicide","15 to 19","Virginia","White","40","362,797","11.03"
-"Suicide","15 to 19","Virginia","Black","21","118,104","17.78"
-"Suicide","15 to 19","Washington","White","26","338,086","7.69"
-"Suicide","15 to 19","Washington","Black","--","22,579","--"
-"Suicide","15 to 19","West Virginia","White","--","97,496","--"
-"Suicide","15 to 19","West Virginia","Black","--","4,849","--"
-"Suicide","15 to 19","Wisconsin","White","29","315,281","9.20"
-"Suicide","15 to 19","Wisconsin","Black","--","31,838","--"
-"Suicide","15 to 19","Wyoming","White","--","35,452","--"
-"Suicide","15 to 19","Wyoming","Black","--","482","--"
-"Suicide","20 to 24","Alabama","White","34","229,203","14.83"
-"Suicide","20 to 24","Alabama","Black","18**","108,314","16.62"
-"Suicide","20 to 24","Alaska","White","13**","30,319","42.88"
-"Suicide","20 to 24","Alaska","Black","--","2,839","--"
-"Suicide","20 to 24","Arizona","White","73","412,758","17.69"
-"Suicide","20 to 24","Arizona","Black","13**","33,004","39.39"
-"Suicide","20 to 24","Arkansas","White","30","158,002","18.99"
-"Suicide","20 to 24","Arkansas","Black","--","39,342","--"
-"Suicide","20 to 24","California","White","111","1,247,088","8.90"
-"Suicide","20 to 24","California","Black","17**","115,207","14.76"
-"Suicide","20 to 24","Colorado","White","74","336,044","22.02"
-"Suicide","20 to 24","Colorado","Black","--","21,525","--"
-"Suicide","20 to 24","Connecticut","White","14**","182,182","7.68"
-"Suicide","20 to 24","Connecticut","Black","--","35,572","--"
-"Suicide","20 to 24","Delaware","White","--","37,241","--"
-"Suicide","20 to 24","Delaware","Black","--","18,013","--"
-"Suicide","20 to 24","District of Columbia","White","--","23,632","--"
-"Suicide","20 to 24","District of Columbia","Black","--","19,382","--"
-"Suicide","20 to 24","Florida","White","82","679,404","12.07"
-"Suicide","20 to 24","Florida","Black","21","199,250","10.54"
-"Suicide","20 to 24","Georgia","White","71","433,877","16.36"
-"Suicide","20 to 24","Georgia","Black","47","276,164","17.02"
-"Suicide","20 to 24","Hawaii","White","--","26,265","--"
-"Suicide","20 to 24","Hawaii","Black","--","3,657","--"
-"Suicide","20 to 24","Idaho","White","31","122,210","25.37"
-"Suicide","20 to 24","Idaho","Black","--","2,055","--"
-"Suicide","20 to 24","Illinois","White","75","622,549","12.05"
-"Suicide","20 to 24","Illinois","Black","23","137,775","16.69"
-"Suicide","20 to 24","Indiana","White","58","397,948","14.57"
-"Suicide","20 to 24","Indiana","Black","10**","56,280","17.77"
-"Suicide","20 to 24","Iowa","White","38","203,529","18.67"
-"Suicide","20 to 24","Iowa","Black","--","13,181","--"
-"Suicide","20 to 24","Kansas","White","42","184,291","22.79"
-"Suicide","20 to 24","Kansas","Black","--","16,483","--"
-"Suicide","20 to 24","Kentucky","White","48","258,883","18.54"
-"Suicide","20 to 24","Kentucky","Black","10**","32,644","30.63"
-"Suicide","20 to 24","Louisiana","White","40","178,463","22.41"
-"Suicide","20 to 24","Louisiana","Black","22","119,461","18.42"
-"Suicide","20 to 24","Maine","White","11**","71,385","15.41"
-"Suicide","20 to 24","Maine","Black","--","2,480","--"
-"Suicide","20 to 24","Maryland","White","22","208,301","10.56"
-"Suicide","20 to 24","Maryland","Black","19**","130,750","14.53"
-"Suicide","20 to 24","Massachusetts","White","26","375,819","6.92"
-"Suicide","20 to 24","Massachusetts","Black","--","51,126","--"
-"Suicide","20 to 24","Michigan","White","84","525,093","16.00"
-"Suicide","20 to 24","Michigan","Black","18**","107,139","16.80"
-"Suicide","20 to 24","Minnesota","White","50","289,837","17.25"
-"Suicide","20 to 24","Minnesota","Black","--","34,188","--"
-"Suicide","20 to 24","Mississippi","White","16**","113,911","14.05"
-"Suicide","20 to 24","Mississippi","Black","--","87,800","--"
-"Suicide","20 to 24","Missouri","White","69","334,793","20.61"
-"Suicide","20 to 24","Missouri","Black","16**","55,686","28.73"
-"Suicide","20 to 24","Montana","White","14**","66,748","20.97"
-"Suicide","20 to 24","Montana","Black","--","890","--"
-"Suicide","20 to 24","Nebraska","White","16**","122,100","13.10"
-"Suicide","20 to 24","Nebraska","Black","--","8,495","--"
-"Suicide","20 to 24","Nevada","White","35","137,404","25.47"
-"Suicide","20 to 24","Nevada","Black","--","23,445","--"
-"Suicide","20 to 24","New Hampshire","White","11**","78,484","14.02"
-"Suicide","20 to 24","New Hampshire","Black","--","2,355","--"
-"Suicide","20 to 24","New Jersey","White","27","397,324","6.80"
-"Suicide","20 to 24","New Jersey","Black","--","100,941","--"
-"Suicide","20 to 24","New Mexico","White","32","118,089","27.10"
-"Suicide","20 to 24","New Mexico","Black","--","5,172","--"
-"Suicide","20 to 24","New York","White","60","865,371","6.93"
-"Suicide","20 to 24","New York","Black","--","248,202","--"
-"Suicide","20 to 24","North Carolina","White","83","499,730","16.61"
-"Suicide","20 to 24","North Carolina","Black","32","180,717","17.71"
-"Suicide","20 to 24","North Dakota","White","14**","54,872","25.51"
-"Suicide","20 to 24","North Dakota","Black","--","2,593","--"
-"Suicide","20 to 24","Ohio","White","122","602,331","20.25"
-"Suicide","20 to 24","Ohio","Black","23","116,570","19.73"
-"Suicide","20 to 24","Oklahoma","White","37","200,949","18.41"
-"Suicide","20 to 24","Oklahoma","Black","--","27,499","--"
-"Suicide","20 to 24","Oregon","White","44","221,973","19.82"
-"Suicide","20 to 24","Oregon","Black","--","7,756","--"
-"Suicide","20 to 24","Pennsylvania","White","91","643,288","14.15"
-"Suicide","20 to 24","Pennsylvania","Black","21","123,305","17.03"
-"Suicide","20 to 24","Rhode Island","White","--","60,888","--"
-"Suicide","20 to 24","Rhode Island","Black","--","8,507","--"
-"Suicide","20 to 24","South Carolina","White","36","226,532","15.89"
-"Suicide","20 to 24","South Carolina","Black","13**","104,775","12.41"
-"Suicide","20 to 24","South Dakota","White","--","50,224","--"
-"Suicide","20 to 24","South Dakota","Black","--","1,926","--"
-"Suicide","20 to 24","Tennessee","White","75","357,420","20.98"
-"Suicide","20 to 24","Tennessee","Black","18**","91,576","19.66"
-"Suicide","20 to 24","Texas","White","188","968,701","19.41"
-"Suicide","20 to 24","Texas","Black","45","222,580","20.22"
-"Suicide","20 to 24","Utah","White","67","265,862","25.20"
-"Suicide","20 to 24","Utah","Black","--","5,181","--"
-"Suicide","20 to 24","Vermont","White","--","41,427","--"
-"Suicide","20 to 24","Vermont","Black","--","1,168","--"
-"Suicide","20 to 24","Virginia","White","66","392,248","16.83"
-"Suicide","20 to 24","Virginia","Black","24","127,737","18.79"
-"Suicide","20 to 24","Washington","White","51","366,738","13.91"
-"Suicide","20 to 24","Washington","Black","--","28,153","--"
-"Suicide","20 to 24","West Virginia","White","23","104,864","21.93"
-"Suicide","20 to 24","West Virginia","Black","--","5,565","--"
-"Suicide","20 to 24","Wisconsin","White","47","341,260","13.77"
-"Suicide","20 to 24","Wisconsin","Black","13**","32,637","39.83"
-"Suicide","20 to 24","Wyoming","White","16**","35,389","45.21"
-"Suicide","20 to 24","Wyoming","Black","--","755","--"
-"Suicide","25 to 29","Alabama","White","42","208,303","20.16"
-"Suicide","25 to 29","Alabama","Black","--","97,392","--"
-"Suicide","25 to 29","Alaska","White","--","33,722","--"
-"Suicide","25 to 29","Alaska","Black","--","2,657","--"
-"Suicide","25 to 29","Arizona","White","98","398,591","24.59"
-"Suicide","25 to 29","Arizona","Black","10**","34,860","28.69"
-"Suicide","25 to 29","Arkansas","White","37","146,268","25.30"
-"Suicide","25 to 29","Arkansas","Black","--","35,042","--"
-"Suicide","25 to 29","California","White","154","1,308,629","11.77"
-"Suicide","25 to 29","California","Black","19**","132,463","14.34"
-"Suicide","25 to 29","Colorado","White","101","374,261","26.99"
-"Suicide","25 to 29","Colorado","Black","--","24,799","--"
-"Suicide","25 to 29","Connecticut","White","13**","165,033","7.88"
-"Suicide","25 to 29","Connecticut","Black","--","35,425","--"
-"Suicide","25 to 29","Delaware","White","--","37,662","--"
-"Suicide","25 to 29","Delaware","Black","--","16,633","--"
-"Suicide","25 to 29","District of Columbia","White","--","39,791","--"
-"Suicide","25 to 29","District of Columbia","Black","--","23,847","--"
-"Suicide","25 to 29","Florida","White","114","680,730","16.75"
-"Suicide","25 to 29","Florida","Black","19**","200,273","9.49"
-"Suicide","25 to 29","Georgia","White","91","406,681","22.38"
-"Suicide","25 to 29","Georgia","Black","50","272,771","18.33"
-"Suicide","25 to 29","Hawaii","White","--","25,925","--"
-"Suicide","25 to 29","Hawaii","Black","--","3,784","--"
-"Suicide","25 to 29","Idaho","White","32","112,805","28.37"
-"Suicide","25 to 29","Idaho","Black","--","1,814","--"
-"Suicide","25 to 29","Illinois","White","97","605,241","16.03"
-"Suicide","25 to 29","Illinois","Black","22","143,191","15.36"
-"Suicide","25 to 29","Indiana","White","75","358,013","20.95"
-"Suicide","25 to 29","Indiana","Black","14**","55,315","25.31"
-"Suicide","25 to 29","Iowa","White","42","171,023","24.56"
-"Suicide","25 to 29","Iowa","Black","--","12,446","--"
-"Suicide","25 to 29","Kansas","White","44","154,576","28.47"
-"Suicide","25 to 29","Kansas","Black","--","14,518","--"
-"Suicide","25 to 29","Kentucky","White","49","246,636","19.87"
-"Suicide","25 to 29","Kentucky","Black","--","30,715","--"
-"Suicide","25 to 29","Louisiana","White","35","170,334","20.55"
-"Suicide","25 to 29","Louisiana","Black","19**","106,944","17.77"
-"Suicide","25 to 29","Maine","White","15**","73,679","20.36"
-"Suicide","25 to 29","Maine","Black","--","2,389","--"
-"Suicide","25 to 29","Maryland","White","31","207,857","14.91"
-"Suicide","25 to 29","Maryland","Black","17**","133,479","12.74"
-"Suicide","25 to 29","Massachusetts","White","31","363,319","8.53"
-"Suicide","25 to 29","Massachusetts","Black","--","51,433","--"
-"Suicide","25 to 29","Michigan","White","91","484,438","18.78"
-"Suicide","25 to 29","Michigan","Black","12**","108,908","11.02"
-"Suicide","25 to 29","Minnesota","White","53","282,348","18.77"
-"Suicide","25 to 29","Minnesota","Black","--","33,390","--"
-"Suicide","25 to 29","Mississippi","White","17**","100,419","16.93"
-"Suicide","25 to 29","Mississippi","Black","--","78,243","--"
-"Suicide","25 to 29","Missouri","White","60","314,942","19.05"
-"Suicide","25 to 29","Missouri","Black","--","55,274","--"
-"Suicide","25 to 29","Montana","White","18**","62,246","28.92"
-"Suicide","25 to 29","Montana","Black","--","770","--"
-"Suicide","25 to 29","Nebraska","White","24","106,372","22.56"
-"Suicide","25 to 29","Nebraska","Black","--","8,554","--"
-"Suicide","25 to 29","Nevada","White","27","152,178","17.74"
-"Suicide","25 to 29","Nevada","Black","--","28,186","--"
-"Suicide","25 to 29","New Hampshire","White","18**","78,533","22.92"
-"Suicide","25 to 29","New Hampshire","Black","--","2,383","--"
-"Suicide","25 to 29","New Jersey","White","25","389,303","6.42"
-"Suicide","25 to 29","New Jersey","Black","--","104,093","--"
-"Suicide","25 to 29","New Mexico","White","24","107,156","22.40"
-"Suicide","25 to 29","New Mexico","Black","--","4,727","--"
-"Suicide","25 to 29","New York","White","97","887,577","10.93"
-"Suicide","25 to 29","New York","Black","24","261,092","9.19"
-"Suicide","25 to 29","North Carolina","White","83","468,805","17.70"
-"Suicide","25 to 29","North Carolina","Black","34","173,348","19.61"
-"Suicide","25 to 29","North Dakota","White","17**","44,860","37.90"
-"Suicide","25 to 29","North Dakota","Black","--","2,797","--"
-"Suicide","25 to 29","Ohio","White","97","586,432","16.54"
-"Suicide","25 to 29","Ohio","Black","25","119,059","21.00"
-"Suicide","25 to 29","Oklahoma","White","43","183,119","23.48"
-"Suicide","25 to 29","Oklahoma","Black","--","25,642","--"
-"Suicide","25 to 29","Oregon","White","56","232,336","24.10"
-"Suicide","25 to 29","Oregon","Black","--","8,915","--"
-"Suicide","25 to 29","Pennsylvania","White","97","615,684","15.75"
-"Suicide","25 to 29","Pennsylvania","Black","18**","122,841","14.65"
-"Suicide","25 to 29","Rhode Island","White","--","57,055","--"
-"Suicide","25 to 29","Rhode Island","Black","--","8,130","--"
-"Suicide","25 to 29","South Carolina","White","43","213,793","20.11"
-"Suicide","25 to 29","South Carolina","Black","11**","95,617","11.50"
-"Suicide","25 to 29","South Dakota","White","11**","45,508","24.17"
-"Suicide","25 to 29","South Dakota","Black","--","1,969","--"
-"Suicide","25 to 29","Tennessee","White","88","363,007","24.24"
-"Suicide","25 to 29","Tennessee","Black","--","93,553","--"
-"Suicide","25 to 29","Texas","White","185","997,897","18.54"
-"Suicide","25 to 29","Texas","Black","43","247,990","17.34"
-"Suicide","25 to 29","Utah","White","48","226,852","21.16"
-"Suicide","25 to 29","Utah","Black","--","5,355","--"
-"Suicide","25 to 29","Vermont","White","--","34,440","--"
-"Suicide","25 to 29","Vermont","Black","--","895","--"
-"Suicide","25 to 29","Virginia","White","71","377,098","18.83"
-"Suicide","25 to 29","Virginia","Black","24","126,319","19.00"
-"Suicide","25 to 29","Washington","White","73","401,822","18.17"
-"Suicide","25 to 29","Washington","Black","10**","30,976","32.28"
-"Suicide","25 to 29","West Virginia","White","26","95,321","27.28"
-"Suicide","25 to 29","West Virginia","Black","--","5,141","--"
-"Suicide","25 to 29","Wisconsin","White","71","301,974","23.51"
-"Suicide","25 to 29","Wisconsin","Black","14**","32,272","43.38"
-"Suicide","25 to 29","Wyoming","White","--","31,459","--"
-"Suicide","25 to 29","Wyoming","Black","--","573","--"
-"Suicide","30 to 34","Alabama","White","61","221,016","27.60"
-"Suicide","30 to 34","Alabama","Black","17**","101,298","16.78"
-"Suicide","30 to 34","Alaska","White","--","37,587","--"
-"Suicide","30 to 34","Alaska","Black","--","2,605","--"
-"Suicide","30 to 34","Arizona","White","82","400,296","20.48"
-"Suicide","30 to 34","Arizona","Black","--","36,454","--"
-"Suicide","30 to 34","Arkansas","White","55","154,054","35.70"
-"Suicide","30 to 34","Arkansas","Black","--","34,888","--"
-"Suicide","30 to 34","California","White","195","1,394,002","13.99"
-"Suicide","30 to 34","California","Black","17**","147,840","11.50"
-"Suicide","30 to 34","Colorado","White","126","399,639","31.53"
-"Suicide","30 to 34","Colorado","Black","--","26,098","--"
-"Suicide","30 to 34","Connecticut","White","25","167,654","14.91"
-"Suicide","30 to 34","Connecticut","Black","--","37,599","--"
-"Suicide","30 to 34","Delaware","White","--","43,963","--"
-"Suicide","30 to 34","Delaware","Black","--","17,454","--"
-"Suicide","30 to 34","District of Columbia","White","--","40,917","--"
-"Suicide","30 to 34","District of Columbia","Black","--","26,733","--"
-"Suicide","30 to 34","Florida","White","125","754,132","16.58"
-"Suicide","30 to 34","Florida","Black","20**","217,922","9.18"
-"Suicide","30 to 34","Georgia","White","87","421,111","20.66"
-"Suicide","30 to 34","Georgia","Black","47","284,269","16.53"
-"Suicide","30 to 34","Hawaii","White","--","27,147","--"
-"Suicide","30 to 34","Hawaii","Black","--","3,551","--"
-"Suicide","30 to 34","Idaho","White","34","115,796","29.36"
-"Suicide","30 to 34","Idaho","Black","--","1,751","--"
-"Suicide","30 to 34","Illinois","White","114","624,807","18.25"
-"Suicide","30 to 34","Illinois","Black","16**","144,191","11.10"
-"Suicide","30 to 34","Indiana","White","91","367,915","24.73"
-"Suicide","30 to 34","Indiana","Black","--","56,145","--"
-"Suicide","30 to 34","Iowa","White","37","171,785","21.54"
-"Suicide","30 to 34","Iowa","Black","--","12,583","--"
-"Suicide","30 to 34","Kansas","White","54","155,929","34.63"
-"Suicide","30 to 34","Kansas","Black","--","14,363","--"
-"Suicide","30 to 34","Kentucky","White","52","255,261","20.37"
-"Suicide","30 to 34","Kentucky","Black","--","30,638","--"
-"Suicide","30 to 34","Louisiana","White","50","191,021","26.18"
-"Suicide","30 to 34","Louisiana","Black","17**","110,877","15.33"
-"Suicide","30 to 34","Maine","White","17**","81,521","20.85"
-"Suicide","30 to 34","Maine","Black","--","2,306","--"
-"Suicide","30 to 34","Maryland","White","29","229,640","12.63"
-"Suicide","30 to 34","Maryland","Black","13**","147,207","8.83"
-"Suicide","30 to 34","Massachusetts","White","39","370,231","10.53"
-"Suicide","30 to 34","Massachusetts","Black","--","53,899","--"
-"Suicide","30 to 34","Michigan","White","87","499,593","17.41"
-"Suicide","30 to 34","Michigan","Black","19**","115,573","16.44"
-"Suicide","30 to 34","Minnesota","White","64","294,177","21.76"
-"Suicide","30 to 34","Minnesota","Black","--","36,830","--"
-"Suicide","30 to 34","Mississippi","White","27","106,229","25.42"
-"Suicide","30 to 34","Mississippi","Black","14**","78,329","17.87"
-"Suicide","30 to 34","Missouri","White","103","329,572","31.25"
-"Suicide","30 to 34","Missouri","Black","--","57,677","--"
-"Suicide","30 to 34","Montana","White","16**","64,718","24.72"
-"Suicide","30 to 34","Montana","Black","--","725","--"
-"Suicide","30 to 34","Nebraska","White","22","106,113","20.73"
-"Suicide","30 to 34","Nebraska","Black","--","8,612","--"
-"Suicide","30 to 34","Nevada","White","46","164,879","27.90"
-"Suicide","30 to 34","Nevada","Black","--","31,678","--"
-"Suicide","30 to 34","New Hampshire","White","21","83,513","25.15"
-"Suicide","30 to 34","New Hampshire","Black","--","2,547","--"
-"Suicide","30 to 34","New Jersey","White","34","404,148","8.41"
-"Suicide","30 to 34","New Jersey","Black","--","111,781","--"
-"Suicide","30 to 34","New Mexico","White","33","110,168","29.95"
-"Suicide","30 to 34","New Mexico","Black","--","4,918","--"
-"Suicide","30 to 34","New York","White","98","916,555","10.69"
-"Suicide","30 to 34","New York","Black","28","280,002","10.00"
-"Suicide","30 to 34","North Carolina","White","83","489,469","16.96"
-"Suicide","30 to 34","North Carolina","Black","30","180,918","16.58"
-"Suicide","30 to 34","North Dakota","White","22","46,292","47.52"
-"Suicide","30 to 34","North Dakota","Black","--","3,208","--"
-"Suicide","30 to 34","Ohio","White","147","614,360","23.93"
-"Suicide","30 to 34","Ohio","Black","17**","123,992","13.71"
-"Suicide","30 to 34","Oklahoma","White","54","195,595","27.61"
-"Suicide","30 to 34","Oklahoma","Black","--","25,714","--"
-"Suicide","30 to 34","Oregon","White","74","258,032","28.68"
-"Suicide","30 to 34","Oregon","Black","--","9,689","--"
-"Suicide","30 to 34","Pennsylvania","White","137","671,746","20.39"
-"Suicide","30 to 34","Pennsylvania","Black","19**","131,867","14.41"
-"Suicide","30 to 34","Rhode Island","White","10**","62,877","15.90"
-"Suicide","30 to 34","Rhode Island","Black","--","8,564","--"
-"Suicide","30 to 34","South Carolina","White","58","232,397","24.96"
-"Suicide","30 to 34","South Carolina","Black","10**","103,145","9.70"
-"Suicide","30 to 34","South Dakota","White","14**","46,551","30.07"
-"Suicide","30 to 34","South Dakota","Black","--","2,350","--"
-"Suicide","30 to 34","Tennessee","White","78","373,704","20.87"
-"Suicide","30 to 34","Tennessee","Black","14**","95,251","14.70"
-"Suicide","30 to 34","Texas","White","216","1,022,242","21.13"
-"Suicide","30 to 34","Texas","Black","44","260,691","16.88"
-"Suicide","30 to 34","Utah","White","51","211,442","24.12"
-"Suicide","30 to 34","Utah","Black","--","5,406","--"
-"Suicide","30 to 34","Vermont","White","10**","36,896","27.10"
-"Suicide","30 to 34","Vermont","Black","--","874","--"
-"Suicide","30 to 34","Virginia","White","70","392,756","17.82"
-"Suicide","30 to 34","Virginia","Black","21","133,142","15.77"
-"Suicide","30 to 34","Washington","White","80","447,401","17.88"
-"Suicide","30 to 34","Washington","Black","--","33,773","--"
-"Suicide","30 to 34","West Virginia","White","28","99,132","28.25"
-"Suicide","30 to 34","West Virginia","Black","--","5,323","--"
-"Suicide","30 to 34","Wisconsin","White","76","301,697","25.19"
-"Suicide","30 to 34","Wisconsin","Black","--","32,048","--"
-"Suicide","30 to 34","Wyoming","White","12**","34,581","34.70"
-"Suicide","30 to 34","Wyoming","Black","--","662","--"
-"Suicide","35 to 39","Alabama","White","48","210,362","22.82"
-"Suicide","35 to 39","Alabama","Black","15**","87,181","17.21"
-"Suicide","35 to 39","Alaska","White","16**","37,109","43.12"
-"Suicide","35 to 39","Alaska","Black","--","2,130","--"
-"Suicide","35 to 39","Arizona","White","102","374,400","27.24"
-"Suicide","35 to 39","Arizona","Black","--","31,202","--"
-"Suicide","35 to 39","Arkansas","White","48","148,742","32.27"
-"Suicide","35 to 39","Arkansas","Black","--","30,615","--"
-"Suicide","35 to 39","California","White","162","1,293,685","12.52"
-"Suicide","35 to 39","California","Black","10**","122,343","8.17"
-"Suicide","35 to 39","Colorado","White","102","379,513","26.88"
-"Suicide","35 to 39","Colorado","Black","--","22,296","--"
-"Suicide","35 to 39","Connecticut","White","33","176,238","18.72"
-"Suicide","35 to 39","Connecticut","Black","--","33,636","--"
-"Suicide","35 to 39","Delaware","White","--","41,456","--"
-"Suicide","35 to 39","Delaware","Black","--","15,689","--"
-"Suicide","35 to 39","District of Columbia","White","--","35,137","--"
-"Suicide","35 to 39","District of Columbia","Black","--","21,155","--"
-"Suicide","35 to 39","Florida","White","125","749,761","16.67"
-"Suicide","35 to 39","Florida","Black","15**","194,011","7.73"
-"Suicide","35 to 39","Georgia","White","102","413,541","24.67"
-"Suicide","35 to 39","Georgia","Black","35","249,434","14.03"
-"Suicide","35 to 39","Hawaii","White","--","28,516","--"
-"Suicide","35 to 39","Hawaii","Black","--","2,993","--"
-"Suicide","35 to 39","Idaho","White","25","116,759","21.41"
-"Suicide","35 to 39","Idaho","Black","--","1,334","--"
-"Suicide","35 to 39","Illinois","White","107","634,453","16.86"
-"Suicide","35 to 39","Illinois","Black","17**","119,091","14.27"
-"Suicide","35 to 39","Indiana","White","57","356,673","15.98"
-"Suicide","35 to 39","Indiana","Black","--","47,642","--"
-"Suicide","35 to 39","Iowa","White","43","177,126","24.28"
-"Suicide","35 to 39","Iowa","Black","--","10,766","--"
-"Suicide","35 to 39","Kansas","White","52","162,654","31.97"
-"Suicide","35 to 39","Kansas","Black","--","12,660","--"
-"Suicide","35 to 39","Kentucky","White","59","240,004","24.58"
-"Suicide","35 to 39","Kentucky","Black","--","25,285","--"
-"Suicide","35 to 39","Louisiana","White","33","192,808","17.12"
-"Suicide","35 to 39","Louisiana","Black","13**","101,540","12.80"
-"Suicide","35 to 39","Maine","White","20**","80,230","24.93"
-"Suicide","35 to 39","Maine","Black","--","2,114","--"
-"Suicide","35 to 39","Maryland","White","24","240,651","9.97"
-"Suicide","35 to 39","Maryland","Black","14**","136,369","10.27"
-"Suicide","35 to 39","Massachusetts","White","41","360,258","11.38"
-"Suicide","35 to 39","Massachusetts","Black","--","48,015","--"
-"Suicide","35 to 39","Michigan","White","114","477,516","23.87"
-"Suicide","35 to 39","Michigan","Black","--","84,922","--"
-"Suicide","35 to 39","Minnesota","White","66","315,090","20.95"
-"Suicide","35 to 39","Minnesota","Black","--","35,488","--"
-"Suicide","35 to 39","Mississippi","White","15**","103,453","14.50"
-"Suicide","35 to 39","Mississippi","Black","--","70,314","--"
-"Suicide","35 to 39","Missouri","White","85","330,128","25.75"
-"Suicide","35 to 39","Missouri","Black","--","47,281","--"
-"Suicide","35 to 39","Montana","White","22","64,718","33.99"
-"Suicide","35 to 39","Montana","Black","--","517","--"
-"Suicide","35 to 39","Nebraska","White","32","113,460","28.20"
-"Suicide","35 to 39","Nebraska","Black","--","7,344","--"
-"Suicide","35 to 39","Nevada","White","55","159,735","34.43"
-"Suicide","35 to 39","Nevada","Black","--","25,614","--"
-"Suicide","35 to 39","New Hampshire","White","18**","80,710","22.30"
-"Suicide","35 to 39","New Hampshire","Black","--","2,184","--"
-"Suicide","35 to 39","New Jersey","White","28","412,694","6.78"
-"Suicide","35 to 39","New Jersey","Black","--","98,614","--"
-"Suicide","35 to 39","New Mexico","White","36","111,233","32.36"
-"Suicide","35 to 39","New Mexico","Black","--","4,248","--"
-"Suicide","35 to 39","New York","White","119","878,009","13.55"
-"Suicide","35 to 39","New York","Black","22","235,830","9.33"
-"Suicide","35 to 39","North Carolina","White","101","466,483","21.65"
-"Suicide","35 to 39","North Carolina","Black","19**","153,597","12.37"
-"Suicide","35 to 39","North Dakota","White","11**","45,397","24.23"
-"Suicide","35 to 39","North Dakota","Black","--","2,707","--"
-"Suicide","35 to 39","Ohio","White","125","591,610","21.13"
-"Suicide","35 to 39","Ohio","Black","16**","101,353","15.79"
-"Suicide","35 to 39","Oklahoma","White","54","197,004","27.41"
-"Suicide","35 to 39","Oklahoma","Black","--","21,974","--"
-"Suicide","35 to 39","Oregon","White","58","253,916","22.84"
-"Suicide","35 to 39","Oregon","Black","--","8,196","--"
-"Suicide","35 to 39","Pennsylvania","White","124","661,011","18.76"
-"Suicide","35 to 39","Pennsylvania","Black","19**","106,037","17.92"
-"Suicide","35 to 39","Rhode Island","White","--","57,478","--"
-"Suicide","35 to 39","Rhode Island","Black","--","7,057","--"
-"Suicide","35 to 39","South Carolina","White","56","223,851","25.02"
-"Suicide","35 to 39","South Carolina","Black","--","88,168","--"
-"Suicide","35 to 39","South Dakota","White","--","48,643","--"
-"Suicide","35 to 39","South Dakota","Black","--","2,389","--"
-"Suicide","35 to 39","Tennessee","White","75","349,232","21.48"
-"Suicide","35 to 39","Tennessee","Black","12**","77,639","15.46"
-"Suicide","35 to 39","Texas","White","163","1,006,051","16.20"
-"Suicide","35 to 39","Texas","Black","27","231,449","11.67"
-"Suicide","35 to 39","Utah","White","67","203,249","32.96"
-"Suicide","35 to 39","Utah","Black","--","3,902","--"
-"Suicide","35 to 39","Vermont","White","--","37,412","--"
-"Suicide","35 to 39","Vermont","Black","--","770","--"
-"Suicide","35 to 39","Virginia","White","73","399,910","18.25"
-"Suicide","35 to 39","Virginia","Black","17**","120,537","14.10"
-"Suicide","35 to 39","Washington","White","69","430,046","16.04"
-"Suicide","35 to 39","Washington","Black","--","30,986","--"
-"Suicide","35 to 39","West Virginia","White","21","93,540","22.45"
-"Suicide","35 to 39","West Virginia","Black","--","4,615","--"
-"Suicide","35 to 39","Wisconsin","White","63","318,452","19.78"
-"Suicide","35 to 39","Wisconsin","Black","--","25,926","--"
-"Suicide","35 to 39","Wyoming","White","--","36,601","--"
-"Suicide","35 to 39","Wyoming","Black","--","554","--"
-"Suicide","40 to 44","Alabama","White","62","210,772","29.42"
-"Suicide","40 to 44","Alabama","Black","12**","86,946","13.80"
-"Suicide","40 to 44","Alaska","White","--","32,773","--"
-"Suicide","40 to 44","Alaska","Black","--","1,791","--"
-"Suicide","40 to 44","Arizona","White","99","365,823","27.06"
-"Suicide","40 to 44","Arizona","Black","--","27,909","--"
-"Suicide","40 to 44","Arkansas","White","43","150,009","28.66"
-"Suicide","40 to 44","Arkansas","Black","--","29,998","--"
-"Suicide","40 to 44","California","White","170","1,213,797","14.01"
-"Suicide","40 to 44","California","Black","14**","109,494","12.79"
-"Suicide","40 to 44","Colorado","White","105","349,810","30.02"
-"Suicide","40 to 44","Colorado","Black","--","19,637","--"
-"Suicide","40 to 44","Connecticut","White","25","170,549","14.66"
-"Suicide","40 to 44","Connecticut","Black","--","32,361","--"
-"Suicide","40 to 44","Delaware","White","--","39,338","--"
-"Suicide","40 to 44","Delaware","Black","--","15,322","--"
-"Suicide","40 to 44","District of Columbia","White","--","25,106","--"
-"Suicide","40 to 44","District of Columbia","Black","--","18,856","--"
-"Suicide","40 to 44","Florida","White","140","740,765","18.90"
-"Suicide","40 to 44","Florida","Black","16**","182,808","8.75"
-"Suicide","40 to 44","Georgia","White","95","410,462","23.14"
-"Suicide","40 to 44","Georgia","Black","32","246,676","12.97"
-"Suicide","40 to 44","Hawaii","White","--","25,021","--"
-"Suicide","40 to 44","Hawaii","Black","--","2,302","--"
-"Suicide","40 to 44","Idaho","White","28","117,558","23.82"
-"Suicide","40 to 44","Idaho","Black","--","1,230","--"
-"Suicide","40 to 44","Illinois","White","101","628,418","16.07"
-"Suicide","40 to 44","Illinois","Black","13**","115,636","11.24"
-"Suicide","40 to 44","Indiana","White","90","360,585","24.96"
-"Suicide","40 to 44","Indiana","Black","--","45,374","--"
-"Suicide","40 to 44","Iowa","White","44","181,479","24.25"
-"Suicide","40 to 44","Iowa","Black","--","9,638","--"
-"Suicide","40 to 44","Kansas","White","46","160,215","28.71"
-"Suicide","40 to 44","Kansas","Black","--","11,778","--"
-"Suicide","40 to 44","Kentucky","White","75","247,881","30.26"
-"Suicide","40 to 44","Kentucky","Black","--","25,210","--"
-"Suicide","40 to 44","Louisiana","White","51","187,793","27.16"
-"Suicide","40 to 44","Louisiana","Black","14**","95,351","14.68"
-"Suicide","40 to 44","Maine","White","22","77,317","28.45"
-"Suicide","40 to 44","Maine","Black","--","1,777","--"
-"Suicide","40 to 44","Maryland","White","22","228,824","9.61"
-"Suicide","40 to 44","Maryland","Black","--","131,178","--"
-"Suicide","40 to 44","Massachusetts","White","35","334,743","10.46"
-"Suicide","40 to 44","Massachusetts","Black","--","43,772","--"
-"Suicide","40 to 44","Michigan","White","122","477,344","25.56"
-"Suicide","40 to 44","Michigan","Black","14**","81,842","17.11"
-"Suicide","40 to 44","Minnesota","White","61","313,110","19.48"
-"Suicide","40 to 44","Minnesota","Black","--","30,082","--"
-"Suicide","40 to 44","Mississippi","White","23","105,833","21.73"
-"Suicide","40 to 44","Mississippi","Black","--","72,580","--"
-"Suicide","40 to 44","Missouri","White","89","323,601","27.50"
-"Suicide","40 to 44","Missouri","Black","12**","44,866","26.75"
-"Suicide","40 to 44","Montana","White","22","64,191","34.27"
-"Suicide","40 to 44","Montana","Black","--","474","--"
-"Suicide","40 to 44","Nebraska","White","26","111,287","23.36"
-"Suicide","40 to 44","Nebraska","Black","--","7,212","--"
-"Suicide","40 to 44","Nevada","White","39","152,947","25.50"
-"Suicide","40 to 44","Nevada","Black","--","22,933","--"
-"Suicide","40 to 44","New Hampshire","White","15**","76,091","19.71"
-"Suicide","40 to 44","New Hampshire","Black","--","1,918","--"
-"Suicide","40 to 44","New Jersey","White","38","409,443","9.28"
-"Suicide","40 to 44","New Jersey","Black","--","95,898","--"
-"Suicide","40 to 44","New Mexico","White","31","105,938","29.26"
-"Suicide","40 to 44","New Mexico","Black","--","3,661","--"
-"Suicide","40 to 44","New York","White","99","822,923","12.03"
-"Suicide","40 to 44","New York","Black","15**","221,353","6.78"
-"Suicide","40 to 44","North Carolina","White","97","462,870","20.96"
-"Suicide","40 to 44","North Carolina","Black","14**","149,385","9.37"
-"Suicide","40 to 44","North Dakota","White","19**","41,690","45.57"
-"Suicide","40 to 44","North Dakota","Black","--","2,026","--"
-"Suicide","40 to 44","Ohio","White","140","587,119","23.85"
-"Suicide","40 to 44","Ohio","Black","18**","95,008","18.95"
-"Suicide","40 to 44","Oklahoma","White","69","191,885","35.96"
-"Suicide","40 to 44","Oklahoma","Black","--","20,539","--"
-"Suicide","40 to 44","Oregon","White","43","250,165","17.19"
-"Suicide","40 to 44","Oregon","Black","--","7,403","--"
-"Suicide","40 to 44","Pennsylvania","White","126","628,906","20.03"
-"Suicide","40 to 44","Pennsylvania","Black","--","96,925","--"
-"Suicide","40 to 44","Rhode Island","White","--","54,343","--"
-"Suicide","40 to 44","Rhode Island","Black","--","6,762","--"
-"Suicide","40 to 44","South Carolina","White","55","220,831","24.91"
-"Suicide","40 to 44","South Carolina","Black","--","86,318","--"
-"Suicide","40 to 44","South Dakota","White","14**","48,134","29.09"
-"Suicide","40 to 44","South Dakota","Black","--","1,724","--"
-"Suicide","40 to 44","Tennessee","White","77","346,131","22.25"
-"Suicide","40 to 44","Tennessee","Black","--","75,108","--"
-"Suicide","40 to 44","Texas","White","171","954,951","17.91"
-"Suicide","40 to 44","Texas","Black","17**","217,541","7.81"
-"Suicide","40 to 44","Utah","White","72","215,984","33.34"
-"Suicide","40 to 44","Utah","Black","--","3,430","--"
-"Suicide","40 to 44","Vermont","White","--","36,638","--"
-"Suicide","40 to 44","Vermont","Black","--","700","--"
-"Suicide","40 to 44","Virginia","White","72","386,386","18.63"
-"Suicide","40 to 44","Virginia","Black","--","114,657","--"
-"Suicide","40 to 44","Washington","White","64","403,069","15.88"
-"Suicide","40 to 44","Washington","Black","--","27,082","--"
-"Suicide","40 to 44","West Virginia","White","24","102,094","23.51"
-"Suicide","40 to 44","West Virginia","Black","--","4,386","--"
-"Suicide","40 to 44","Wisconsin","White","61","322,977","18.89"
-"Suicide","40 to 44","Wisconsin","Black","--","24,109","--"
-"Suicide","40 to 44","Wyoming","White","11**","35,587","30.91"
-"Suicide","40 to 44","Wyoming","Black","--","493","--"
-"Suicide","45 to 49","Alabama","White","65","205,824","31.58"
-"Suicide","45 to 49","Alabama","Black","--","78,627","--"
-"Suicide","45 to 49","Alaska","White","--","27,719","--"
-"Suicide","45 to 49","Alaska","Black","--","1,523","--"
-"Suicide","45 to 49","Arizona","White","84","341,505","24.60"
-"Suicide","45 to 49","Arizona","Black","--","24,017","--"
-"Suicide","45 to 49","Arkansas","White","38","140,195","27.11"
-"Suicide","45 to 49","Arkansas","Black","--","26,568","--"
-"Suicide","45 to 49","California","White","156","1,126,310","13.85"
-"Suicide","45 to 49","California","Black","--","97,851","--"
-"Suicide","45 to 49","Colorado","White","109","306,377","35.58"
-"Suicide","45 to 49","Colorado","Black","--","16,599","--"
-"Suicide","45 to 49","Connecticut","White","30","161,801","18.54"
-"Suicide","45 to 49","Connecticut","Black","--","28,866","--"
-"Suicide","45 to 49","Delaware","White","--","35,667","--"
-"Suicide","45 to 49","Delaware","Black","--","13,675","--"
-"Suicide","45 to 49","District of Columbia","White","--","17,467","--"
-"Suicide","45 to 49","District of Columbia","Black","--","15,755","--"
-"Suicide","45 to 49","Florida","White","139","725,702","19.15"
-"Suicide","45 to 49","Florida","Black","13**","167,035","7.78"
-"Suicide","45 to 49","Georgia","White","85","397,207","21.40"
-"Suicide","45 to 49","Georgia","Black","11**","224,111","4.91"
-"Suicide","45 to 49","Hawaii","White","--","20,011","--"
-"Suicide","45 to 49","Hawaii","Black","--","1,725","--"
-"Suicide","45 to 49","Idaho","White","29","102,986","28.16"
-"Suicide","45 to 49","Idaho","Black","--","909","--"
-"Suicide","45 to 49","Illinois","White","105","580,246","18.10"
-"Suicide","45 to 49","Illinois","Black","12**","106,348","11.28"
-"Suicide","45 to 49","Indiana","White","85","336,070","25.29"
-"Suicide","45 to 49","Indiana","Black","--","40,054","--"
-"Suicide","45 to 49","Iowa","White","43","158,770","27.08"
-"Suicide","45 to 49","Iowa","Black","--","7,406","--"
-"Suicide","45 to 49","Kansas","White","37","140,055","26.42"
-"Suicide","45 to 49","Kansas","Black","--","10,062","--"
-"Suicide","45 to 49","Kentucky","White","62","236,454","26.22"
-"Suicide","45 to 49","Kentucky","Black","--","22,033","--"
-"Suicide","45 to 49","Louisiana","White","49","165,238","29.65"
-"Suicide","45 to 49","Louisiana","Black","--","80,175","--"
-"Suicide","45 to 49","Maine","White","19**","73,170","25.97"
-"Suicide","45 to 49","Maine","Black","--","1,469","--"
-"Suicide","45 to 49","Maryland","White","16**","203,756","7.85"
-"Suicide","45 to 49","Maryland","Black","--","119,111","--"
-"Suicide","45 to 49","Massachusetts","White","41","315,354","13.00"
-"Suicide","45 to 49","Massachusetts","Black","--","39,510","--"
-"Suicide","45 to 49","Michigan","White","80","442,585","18.08"
-"Suicide","45 to 49","Michigan","Black","--","81,299","--"
-"Suicide","45 to 49","Minnesota","White","55","266,857","20.61"
-"Suicide","45 to 49","Minnesota","Black","--","24,278","--"
-"Suicide","45 to 49","Mississippi","White","23","100,857","22.80"
-"Suicide","45 to 49","Mississippi","Black","--","64,611","--"
-"Suicide","45 to 49","Missouri","White","84","288,437","29.12"
-"Suicide","45 to 49","Missouri","Black","--","39,558","--"
-"Suicide","45 to 49","Montana","White","18**","55,056","32.69"
-"Suicide","45 to 49","Montana","Black","--","351","--"
-"Suicide","45 to 49","Nebraska","White","26","96,335","26.99"
-"Suicide","45 to 49","Nebraska","Black","--","5,653","--"
-"Suicide","45 to 49","Nevada","White","40","140,638","28.44"
-"Suicide","45 to 49","Nevada","Black","--","19,679","--"
-"Suicide","45 to 49","New Hampshire","White","18**","71,477","25.18"
-"Suicide","45 to 49","New Hampshire","Black","--","1,994","--"
-"Suicide","45 to 49","New Jersey","White","39","391,916","9.95"
-"Suicide","45 to 49","New Jersey","Black","10**","89,125","11.22"
-"Suicide","45 to 49","New Mexico","White","31","94,307","32.87"
-"Suicide","45 to 49","New Mexico","Black","--","3,320","--"
-"Suicide","45 to 49","New York","White","107","768,635","13.92"
-"Suicide","45 to 49","New York","Black","--","206,239","--"
-"Suicide","45 to 49","North Carolina","White","88","452,835","19.43"
-"Suicide","45 to 49","North Carolina","Black","--","141,431","--"
-"Suicide","45 to 49","North Dakota","White","14**","34,233","40.90"
-"Suicide","45 to 49","North Dakota","Black","--","1,345","--"
-"Suicide","45 to 49","Ohio","White","127","546,108","23.26"
-"Suicide","45 to 49","Ohio","Black","12**","84,086","14.27"
-"Suicide","45 to 49","Oklahoma","White","37","170,901","21.65"
-"Suicide","45 to 49","Oklahoma","Black","--","17,298","--"
-"Suicide","45 to 49","Oregon","White","69","222,212","31.05"
-"Suicide","45 to 49","Oregon","Black","--","6,117","--"
-"Suicide","45 to 49","Pennsylvania","White","126","584,822","21.55"
-"Suicide","45 to 49","Pennsylvania","Black","13**","84,961","15.30"
-"Suicide","45 to 49","Rhode Island","White","--","50,181","--"
-"Suicide","45 to 49","Rhode Island","Black","--","5,682","--"
-"Suicide","45 to 49","South Carolina","White","51","211,211","24.15"
-"Suicide","45 to 49","South Carolina","Black","--","78,354","--"
-"Suicide","45 to 49","South Dakota","White","--","41,160","--"
-"Suicide","45 to 49","South Dakota","Black","--","1,125","--"
-"Suicide","45 to 49","Tennessee","White","65","331,755","19.59"
-"Suicide","45 to 49","Tennessee","Black","--","67,405","--"
-"Suicide","45 to 49","Texas","White","143","874,019","16.36"
-"Suicide","45 to 49","Texas","Black","16**","187,580","8.53"
-"Suicide","45 to 49","Utah","White","64","181,177","35.32"
-"Suicide","45 to 49","Utah","Black","--","2,714","--"
-"Suicide","45 to 49","Vermont","White","--","33,622","--"
-"Suicide","45 to 49","Vermont","Black","--","557","--"
-"Suicide","45 to 49","Virginia","White","59","354,190","16.66"
-"Suicide","45 to 49","Virginia","Black","14**","100,195","13.97"
-"Suicide","45 to 49","Washington","White","54","352,332","15.33"
-"Suicide","45 to 49","Washington","Black","--","21,870","--"
-"Suicide","45 to 49","West Virginia","White","19**","100,664","18.87"
-"Suicide","45 to 49","West Virginia","Black","--","3,771","--"
-"Suicide","45 to 49","Wisconsin","White","62","289,875","21.39"
-"Suicide","45 to 49","Wisconsin","Black","--","20,518","--"
-"Suicide","45 to 49","Wyoming","White","10**","30,461","32.83"
-"Suicide","45 to 49","Wyoming","Black","--","385","--"
-"Suicide","50 to 54","Alabama","White","73","230,160","31.72"
-"Suicide","50 to 54","Alabama","Black","--","79,545","--"
-"Suicide","50 to 54","Alaska","White","11**","29,697","37.04"
-"Suicide","50 to 54","Alaska","Black","--","1,458","--"
-"Suicide","50 to 54","Arizona","White","94","362,586","25.92"
-"Suicide","50 to 54","Arizona","Black","--","22,930","--"
-"Suicide","50 to 54","Arkansas","White","31","149,736","20.70"
-"Suicide","50 to 54","Arkansas","Black","--","25,758","--"
-"Suicide","50 to 54","California","White","178","1,196,778","14.87"
-"Suicide","50 to 54","California","Black","12**","104,593","11.47"
-"Suicide","50 to 54","Colorado","White","80","313,108","25.55"
-"Suicide","50 to 54","Colorado","Black","--","15,986","--"
-"Suicide","50 to 54","Connecticut","White","35","193,941","18.05"
-"Suicide","50 to 54","Connecticut","Black","--","29,910","--"
-"Suicide","50 to 54","Delaware","White","--","42,249","--"
-"Suicide","50 to 54","Delaware","Black","--","15,385","--"
-"Suicide","50 to 54","District of Columbia","White","--","15,556","--"
-"Suicide","50 to 54","District of Columbia","Black","--","16,853","--"
-"Suicide","50 to 54","Florida","White","181","797,159","22.71"
-"Suicide","50 to 54","Florida","Black","--","163,423","--"
-"Suicide","50 to 54","Georgia","White","102","440,630","23.15"
-"Suicide","50 to 54","Georgia","Black","15**","228,504","6.56"
-"Suicide","50 to 54","Hawaii","White","--","20,450","--"
-"Suicide","50 to 54","Hawaii","Black","--","1,610","--"
-"Suicide","50 to 54","Idaho","White","29","102,571","28.27"
-"Suicide","50 to 54","Idaho","Black","--","811","--"
-"Suicide","50 to 54","Illinois","White","114","618,434","18.43"
-"Suicide","50 to 54","Illinois","Black","--","112,423","--"
-"Suicide","50 to 54","Indiana","White","88","363,088","24.24"
-"Suicide","50 to 54","Indiana","Black","--","39,279","--"
-"Suicide","50 to 54","Iowa","White","63","170,256","37.00"
-"Suicide","50 to 54","Iowa","Black","--","6,451","--"
-"Suicide","50 to 54","Kansas","White","43","145,023","29.65"
-"Suicide","50 to 54","Kansas","Black","--","9,442","--"
-"Suicide","50 to 54","Kentucky","White","60","255,821","23.45"
-"Suicide","50 to 54","Kentucky","Black","--","22,112","--"
-"Suicide","50 to 54","Louisiana","White","56","178,722","31.33"
-"Suicide","50 to 54","Louisiana","Black","--","79,954","--"
-"Suicide","50 to 54","Maine","White","20**","86,303","23.17"
-"Suicide","50 to 54","Maine","Black","--","1,313","--"
-"Suicide","50 to 54","Maryland","White","50","230,643","21.68"
-"Suicide","50 to 54","Maryland","Black","17**","132,217","12.86"
-"Suicide","50 to 54","Massachusetts","White","50","370,307","13.50"
-"Suicide","50 to 54","Massachusetts","Black","--","38,906","--"
-"Suicide","50 to 54","Michigan","White","124","511,545","24.24"
-"Suicide","50 to 54","Michigan","Black","--","88,964","--"
-"Suicide","50 to 54","Minnesota","White","69","293,405","23.52"
-"Suicide","50 to 54","Minnesota","Black","--","21,647","--"
-"Suicide","50 to 54","Mississippi","White","22","111,490","19.73"
-"Suicide","50 to 54","Mississippi","Black","--","64,850","--"
-"Suicide","50 to 54","Missouri","White","88","312,767","28.14"
-"Suicide","50 to 54","Missouri","Black","--","40,921","--"
-"Suicide","50 to 54","Montana","White","19**","56,998","33.33"
-"Suicide","50 to 54","Montana","Black","--","302","--"
-"Suicide","50 to 54","Nebraska","White","18**","98,455","18.28"
-"Suicide","50 to 54","Nebraska","Black","--","5,237","--"
-"Suicide","50 to 54","Nevada","White","41","152,480","26.89"
-"Suicide","50 to 54","Nevada","Black","--","19,693","--"
-"Suicide","50 to 54","New Hampshire","White","23","88,442","26.01"
-"Suicide","50 to 54","New Hampshire","Black","--","1,787","--"
-"Suicide","50 to 54","New Jersey","White","72","445,025","16.18"
-"Suicide","50 to 54","New Jersey","Black","--","94,105","--"
-"Suicide","50 to 54","New Mexico","White","34","98,596","34.48"
-"Suicide","50 to 54","New Mexico","Black","--","2,885","--"
-"Suicide","50 to 54","New York","White","129","875,135","14.74"
-"Suicide","50 to 54","New York","Black","11**","220,216","5.00"
-"Suicide","50 to 54","North Carolina","White","113","509,044","22.20"
-"Suicide","50 to 54","North Carolina","Black","12**","149,036","8.05"
-"Suicide","50 to 54","North Dakota","White","--","35,160","--"
-"Suicide","50 to 54","North Dakota","Black","--","1,031","--"
-"Suicide","50 to 54","Ohio","White","107","617,117","17.34"
-"Suicide","50 to 54","Ohio","Black","--","89,785","--"
-"Suicide","50 to 54","Oklahoma","White","66","178,052","37.07"
-"Suicide","50 to 54","Oklahoma","Black","--","16,942","--"
-"Suicide","50 to 54","Oregon","White","68","227,838","29.85"
-"Suicide","50 to 54","Oregon","Black","--","5,577","--"
-"Suicide","50 to 54","Pennsylvania","White","147","678,924","21.65"
-"Suicide","50 to 54","Pennsylvania","Black","--","90,890","--"
-"Suicide","50 to 54","Rhode Island","White","13**","59,898","21.70"
-"Suicide","50 to 54","Rhode Island","Black","--","5,724","--"
-"Suicide","50 to 54","South Carolina","White","63","236,806","26.60"
-"Suicide","50 to 54","South Carolina","Black","--","81,913","--"
-"Suicide","50 to 54","South Dakota","White","18**","42,947","41.91"
-"Suicide","50 to 54","South Dakota","Black","--","946","--"
-"Suicide","50 to 54","Tennessee","White","98","367,389","26.67"
-"Suicide","50 to 54","Tennessee","Black","--","69,961","--"
-"Suicide","50 to 54","Texas","White","172","862,888","19.93"
-"Suicide","50 to 54","Texas","Black","15**","180,409","8.31"
-"Suicide","50 to 54","Utah","White","50","157,258","31.79"
-"Suicide","50 to 54","Utah","Black","--","2,519","--"
-"Suicide","50 to 54","Vermont","White","--","38,919","--"
-"Suicide","50 to 54","Vermont","Black","--","540","--"
-"Suicide","50 to 54","Virginia","White","71","388,625","18.27"
-"Suicide","50 to 54","Virginia","Black","11**","106,634","10.32"
-"Suicide","50 to 54","Washington","White","74","377,009","19.63"
-"Suicide","50 to 54","Washington","Black","--","20,901","--"
-"Suicide","50 to 54","West Virginia","White","26","109,466","23.75"
-"Suicide","50 to 54","West Virginia","Black","--","3,809","--"
-"Suicide","50 to 54","Wisconsin","White","68","323,134","21.04"
-"Suicide","50 to 54","Wisconsin","Black","--","20,808","--"
-"Suicide","50 to 54","Wyoming","White","10**","30,535","32.75"
-"Suicide","50 to 54","Wyoming","Black","--","329","--"
-"Suicide","55 to 59","Alabama","White","56","234,725","23.86"
-"Suicide","55 to 59","Alabama","Black","--","80,890","--"
-"Suicide","55 to 59","Alaska","White","--","30,238","--"
-"Suicide","55 to 59","Alaska","Black","--","1,302","--"
-"Suicide","55 to 59","Arizona","White","124","365,531","33.92"
-"Suicide","55 to 59","Arizona","Black","--","20,578","--"
-"Suicide","55 to 59","Arkansas","White","33","153,296","21.53"
-"Suicide","55 to 59","Arkansas","Black","--","26,321","--"
-"Suicide","55 to 59","California","White","210","1,171,798","17.92"
-"Suicide","55 to 59","California","Black","--","106,400","--"
-"Suicide","55 to 59","Colorado","White","86","298,759","28.79"
-"Suicide","55 to 59","Colorado","Black","--","14,192","--"
-"Suicide","55 to 59","Connecticut","White","33","215,797","15.29"
-"Suicide","55 to 59","Connecticut","Black","--","29,326","--"
-"Suicide","55 to 59","Delaware","White","--","49,603","--"
-"Suicide","55 to 59","Delaware","Black","--","15,814","--"
-"Suicide","55 to 59","District of Columbia","White","--","13,226","--"
-"Suicide","55 to 59","District of Columbia","Black","--","17,696","--"
-"Suicide","55 to 59","Florida","White","200","840,402","23.80"
-"Suicide","55 to 59","Florida","Black","--","160,333","--"
-"Suicide","55 to 59","Georgia","White","99","429,177","23.07"
-"Suicide","55 to 59","Georgia","Black","19**","221,167","8.59"
-"Suicide","55 to 59","Hawaii","White","11**","21,573","50.99"
-"Suicide","55 to 59","Hawaii","Black","--","1,405","--"
-"Suicide","55 to 59","Idaho","White","35","102,715","34.07"
-"Suicide","55 to 59","Idaho","Black","--","716","--"
-"Suicide","55 to 59","Illinois","White","114","634,131","17.98"
-"Suicide","55 to 59","Illinois","Black","--","109,938","--"
-"Suicide","55 to 59","Indiana","White","90","373,185","24.12"
-"Suicide","55 to 59","Indiana","Black","--","36,342","--"
-"Suicide","55 to 59","Iowa","White","44","181,684","24.22"
-"Suicide","55 to 59","Iowa","Black","--","5,338","--"
-"Suicide","55 to 59","Kansas","White","36","152,533","23.60"
-"Suicide","55 to 59","Kansas","Black","--","9,457","--"
-"Suicide","55 to 59","Kentucky","White","49","263,286","18.61"
-"Suicide","55 to 59","Kentucky","Black","--","21,934","--"
-"Suicide","55 to 59","Louisiana","White","56","188,289","29.74"
-"Suicide","55 to 59","Louisiana","Black","--","85,950","--"
-"Suicide","55 to 59","Maine","White","21","96,539","21.75"
-"Suicide","55 to 59","Maine","Black","--","1,167","--"
-"Suicide","55 to 59","Maryland","White","39","249,981","15.60"
-"Suicide","55 to 59","Maryland","Black","--","134,593","--"
-"Suicide","55 to 59","Massachusetts","White","75","405,391","18.50"
-"Suicide","55 to 59","Massachusetts","Black","--","37,882","--"
-"Suicide","55 to 59","Michigan","White","101","552,060","18.30"
-"Suicide","55 to 59","Michigan","Black","--","81,712","--"
-"Suicide","55 to 59","Minnesota","White","70","321,151","21.80"
-"Suicide","55 to 59","Minnesota","Black","--","18,201","--"
-"Suicide","55 to 59","Mississippi","White","22","113,579","19.37"
-"Suicide","55 to 59","Mississippi","Black","--","65,346","--"
-"Suicide","55 to 59","Missouri","White","86","332,936","25.83"
-"Suicide","55 to 59","Missouri","Black","--","41,140","--"
-"Suicide","55 to 59","Montana","White","18**","61,258","29.38"
-"Suicide","55 to 59","Montana","Black","--","288","--"
-"Suicide","55 to 59","Nebraska","White","21","103,089","20.37"
-"Suicide","55 to 59","Nebraska","Black","--","4,975","--"
-"Suicide","55 to 59","Nevada","White","45","149,568","30.09"
-"Suicide","55 to 59","Nevada","Black","--","18,444","--"
-"Suicide","55 to 59","New Hampshire","White","13**","99,991","13.00"
-"Suicide","55 to 59","New Hampshire","Black","--","1,627","--"
-"Suicide","55 to 59","New Jersey","White","78","476,056","16.38"
-"Suicide","55 to 59","New Jersey","Black","--","92,532","--"
-"Suicide","55 to 59","New Mexico","White","23","104,282","22.06"
-"Suicide","55 to 59","New Mexico","Black","--","3,054","--"
-"Suicide","55 to 59","New York","White","130","933,897","13.92"
-"Suicide","55 to 59","New York","Black","13**","231,500","5.62"
-"Suicide","55 to 59","North Carolina","White","97","505,897","19.17"
-"Suicide","55 to 59","North Carolina","Black","--","146,973","--"
-"Suicide","55 to 59","North Dakota","White","11**","38,376","28.66"
-"Suicide","55 to 59","North Dakota","Black","--","866","--"
-"Suicide","55 to 59","Ohio","White","128","643,289","19.90"
-"Suicide","55 to 59","Ohio","Black","--","85,533","--"
-"Suicide","55 to 59","Oklahoma","White","53","181,020","29.28"
-"Suicide","55 to 59","Oklahoma","Black","--","16,816","--"
-"Suicide","55 to 59","Oregon","White","55","220,261","24.97"
-"Suicide","55 to 59","Oregon","Black","--","5,098","--"
-"Suicide","55 to 59","Pennsylvania","White","156","735,977","21.20"
-"Suicide","55 to 59","Pennsylvania","Black","--","89,822","--"
-"Suicide","55 to 59","Rhode Island","White","20**","66,740","29.97"
-"Suicide","55 to 59","Rhode Island","Black","--","5,330","--"
-"Suicide","55 to 59","South Carolina","White","68","246,648","27.57"
-"Suicide","55 to 59","South Carolina","Black","--","86,342","--"
-"Suicide","55 to 59","South Dakota","White","13**","48,595","26.75"
-"Suicide","55 to 59","South Dakota","Black","--","745","--"
-"Suicide","55 to 59","Tennessee","White","112","372,016","30.11"
-"Suicide","55 to 59","Tennessee","Black","--","68,806","--"
-"Suicide","55 to 59","Texas","White","146","786,434","18.56"
-"Suicide","55 to 59","Texas","Black","14**","164,585","8.51"
-"Suicide","55 to 59","Utah","White","44","140,905","31.23"
-"Suicide","55 to 59","Utah","Black","--","1,954","--"
-"Suicide","55 to 59","Vermont","White","10**","42,825","23.35"
-"Suicide","55 to 59","Vermont","Black","--","445","--"
-"Suicide","55 to 59","Virginia","White","77","400,334","19.23"
-"Suicide","55 to 59","Virginia","Black","--","112,976","--"
-"Suicide","55 to 59","Washington","White","80","376,019","21.28"
-"Suicide","55 to 59","Washington","Black","--","18,937","--"
-"Suicide","55 to 59","West Virginia","White","18**","111,312","16.17"
-"Suicide","55 to 59","West Virginia","Black","--","3,790","--"
-"Suicide","55 to 59","Wisconsin","White","69","362,313","19.04"
-"Suicide","55 to 59","Wisconsin","Black","--","18,804","--"
-"Suicide","55 to 59","Wyoming","White","10**","31,656","31.59"
-"Suicide","55 to 59","Wyoming","Black","--","301","--"
-"Suicide","60 to 64","Alabama","White","54","241,376","22.37"
-"Suicide","60 to 64","Alabama","Black","--","81,363","--"
-"Suicide","60 to 64","Alaska","White","10**","32,498","30.77"
-"Suicide","60 to 64","Alaska","Black","--","1,338","--"
-"Suicide","60 to 64","Arizona","White","114","387,349","29.43"
-"Suicide","60 to 64","Arizona","Black","--","19,164","--"
-"Suicide","60 to 64","Arkansas","White","29","158,173","18.33"
-"Suicide","60 to 64","Arkansas","Black","--","26,649","--"
-"Suicide","60 to 64","California","White","192","1,134,448","16.92"
-"Suicide","60 to 64","California","Black","--","102,740","--"
-"Suicide","60 to 64","Colorado","White","95","315,328","30.13"
-"Suicide","60 to 64","Colorado","Black","--","13,476","--"
-"Suicide","60 to 64","Connecticut","White","30","218,014","13.76"
-"Suicide","60 to 64","Connecticut","Black","--","25,283","--"
-"Suicide","60 to 64","Delaware","White","15**","56,054","26.76"
-"Suicide","60 to 64","Delaware","Black","--","14,945","--"
-"Suicide","60 to 64","District of Columbia","White","--","11,217","--"
-"Suicide","60 to 64","District of Columbia","Black","--","18,328","--"
-"Suicide","60 to 64","Florida","White","174","844,101","20.61"
-"Suicide","60 to 64","Florida","Black","--","150,101","--"
-"Suicide","60 to 64","Georgia","White","94","415,081","22.65"
-"Suicide","60 to 64","Georgia","Black","11**","197,242","5.58"
-"Suicide","60 to 64","Hawaii","White","--","24,618","--"
-"Suicide","60 to 64","Hawaii","Black","--","1,270","--"
-"Suicide","60 to 64","Idaho","White","31","111,543","27.79"
-"Suicide","60 to 64","Idaho","Black","--","719","--"
-"Suicide","60 to 64","Illinois","White","125","649,592","19.24"
-"Suicide","60 to 64","Illinois","Black","--","109,112","--"
-"Suicide","60 to 64","Indiana","White","83","385,796","21.51"
-"Suicide","60 to 64","Indiana","Black","--","35,576","--"
-"Suicide","60 to 64","Iowa","White","42","198,641","21.14"
-"Suicide","60 to 64","Iowa","Black","--","4,671","--"
-"Suicide","60 to 64","Kansas","White","22","166,056","13.25"
-"Suicide","60 to 64","Kansas","Black","--","9,750","--"
-"Suicide","60 to 64","Kentucky","White","48","266,410","18.02"
-"Suicide","60 to 64","Kentucky","Black","--","22,036","--"
-"Suicide","60 to 64","Louisiana","White","48","198,660","24.16"
-"Suicide","60 to 64","Louisiana","Black","--","86,017","--"
-"Suicide","60 to 64","Maine","White","24","105,788","22.69"
-"Suicide","60 to 64","Maine","Black","--","852","--"
-"Suicide","60 to 64","Maryland","White","41","249,697","16.42"
-"Suicide","60 to 64","Maryland","Black","--","123,509","--"
-"Suicide","60 to 64","Massachusetts","White","57","407,859","13.98"
-"Suicide","60 to 64","Massachusetts","Black","--","33,266","--"
-"Suicide","60 to 64","Michigan","White","109","587,417","18.56"
-"Suicide","60 to 64","Michigan","Black","--","78,376","--"
-"Suicide","60 to 64","Minnesota","White","48","347,478","13.81"
-"Suicide","60 to 64","Minnesota","Black","--","15,058","--"
-"Suicide","60 to 64","Mississippi","White","19**","119,015","15.96"
-"Suicide","60 to 64","Mississippi","Black","--","64,828","--"
-"Suicide","60 to 64","Missouri","White","98","359,552","27.26"
-"Suicide","60 to 64","Missouri","Black","--","41,032","--"
-"Suicide","60 to 64","Montana","White","16**","72,487","22.07"
-"Suicide","60 to 64","Montana","Black","--","245","--"
-"Suicide","60 to 64","Nebraska","White","17**","112,842","15.07"
-"Suicide","60 to 64","Nebraska","Black","--","4,681","--"
-"Suicide","60 to 64","Nevada","White","54","149,147","36.21"
-"Suicide","60 to 64","Nevada","Black","--","17,074","--"
-"Suicide","60 to 64","New Hampshire","White","25","106,655","23.44"
-"Suicide","60 to 64","New Hampshire","Black","--","1,161","--"
-"Suicide","60 to 64","New Jersey","White","65","473,725","13.72"
-"Suicide","60 to 64","New Jersey","Black","--","82,933","--"
-"Suicide","60 to 64","New Mexico","White","22","117,136","18.78"
-"Suicide","60 to 64","New Mexico","Black","--","3,077","--"
-"Suicide","60 to 64","New York","White","114","942,358","12.10"
-"Suicide","60 to 64","New York","Black","--","216,089","--"
-"Suicide","60 to 64","North Carolina","White","130","511,117","25.43"
-"Suicide","60 to 64","North Carolina","Black","--","139,348","--"
-"Suicide","60 to 64","North Dakota","White","10**","44,024","22.71"
-"Suicide","60 to 64","North Dakota","Black","--","675","--"
-"Suicide","60 to 64","Ohio","White","124","682,459","18.17"
-"Suicide","60 to 64","Ohio","Black","--","87,564","--"
-"Suicide","60 to 64","Oklahoma","White","47","195,839","24.00"
-"Suicide","60 to 64","Oklahoma","Black","--","16,866","--"
-"Suicide","60 to 64","Oregon","White","55","239,234","22.99"
-"Suicide","60 to 64","Oregon","Black","--","4,587","--"
-"Suicide","60 to 64","Pennsylvania","White","171","783,215","21.83"
-"Suicide","60 to 64","Pennsylvania","Black","--","84,574","--"
-"Suicide","60 to 64","Rhode Island","White","10**","68,095","14.69"
-"Suicide","60 to 64","Rhode Island","Black","--","4,791","--"
-"Suicide","60 to 64","South Carolina","White","50","258,055","19.38"
-"Suicide","60 to 64","South Carolina","Black","--","84,546","--"
-"Suicide","60 to 64","South Dakota","White","16**","56,329","28.40"
-"Suicide","60 to 64","South Dakota","Black","--","648","--"
-"Suicide","60 to 64","Tennessee","White","88","372,170","23.65"
-"Suicide","60 to 64","Tennessee","Black","--","66,600","--"
-"Suicide","60 to 64","Texas","White","141","743,019","18.98"
-"Suicide","60 to 64","Texas","Black","11**","149,980","7.33"
-"Suicide","60 to 64","Utah","White","33","144,353","22.86"
-"Suicide","60 to 64","Utah","Black","--","1,761","--"
-"Suicide","60 to 64","Vermont","White","13**","47,554","27.34"
-"Suicide","60 to 64","Vermont","Black","--","353","--"
-"Suicide","60 to 64","Virginia","White","78","398,877","19.55"
-"Suicide","60 to 64","Virginia","Black","--","107,601","--"
-"Suicide","60 to 64","Washington","White","96","398,179","24.11"
-"Suicide","60 to 64","Washington","Black","--","17,278","--"
-"Suicide","60 to 64","West Virginia","White","30","117,020","25.64"
-"Suicide","60 to 64","West Virginia","Black","--","3,943","--"
-"Suicide","60 to 64","Wisconsin","White","63","387,352","16.26"
-"Suicide","60 to 64","Wisconsin","Black","--","17,434","--"
-"Suicide","60 to 64","Wyoming","White","14**","37,645","37.19"
-"Suicide","60 to 64","Wyoming","Black","--","373","--"
-"Suicide","65 to 69","Alabama","White","49","218,808","22.39"
-"Suicide","65 to 69","Alabama","Black","--","70,663","--"
-"Suicide","65 to 69","Alaska","White","--","29,323","--"
-"Suicide","65 to 69","Alaska","Black","--","1,013","--"
-"Suicide","65 to 69","Arizona","White","79","368,867","21.42"
-"Suicide","65 to 69","Arizona","Black","--","14,885","--"
-"Suicide","65 to 69","Arkansas","White","31","143,209","21.65"
-"Suicide","65 to 69","Arkansas","Black","--","23,363","--"
-"Suicide","65 to 69","California","White","161","975,884","16.50"
-"Suicide","65 to 69","California","Black","--","79,665","--"
-"Suicide","65 to 69","Colorado","White","67","284,195","23.58"
-"Suicide","65 to 69","Colorado","Black","--","10,313","--"
-"Suicide","65 to 69","Connecticut","White","23","185,845","12.38"
-"Suicide","65 to 69","Connecticut","Black","--","18,418","--"
-"Suicide","65 to 69","Delaware","White","14**","55,037","25.44"
-"Suicide","65 to 69","Delaware","Black","--","12,102","--"
-"Suicide","65 to 69","District of Columbia","White","--","9,872","--"
-"Suicide","65 to 69","District of Columbia","Black","--","16,123","--"
-"Suicide","65 to 69","Florida","White","145","773,721","18.74"
-"Suicide","65 to 69","Florida","Black","--","124,744","--"
-"Suicide","65 to 69","Georgia","White","61","363,604","16.78"
-"Suicide","65 to 69","Georgia","Black","--","158,699","--"
-"Suicide","65 to 69","Hawaii","White","--","25,667","--"
-"Suicide","65 to 69","Hawaii","Black","--","884","--"
-"Suicide","65 to 69","Idaho","White","26","104,996","24.76"
-"Suicide","65 to 69","Idaho","Black","--","553","--"
-"Suicide","65 to 69","Illinois","White","76","568,698","13.36"
-"Suicide","65 to 69","Illinois","Black","--","89,860","--"
-"Suicide","65 to 69","Indiana","White","77","344,251","22.37"
-"Suicide","65 to 69","Indiana","Black","--","28,873","--"
-"Suicide","65 to 69","Iowa","White","32","179,713","17.81"
-"Suicide","65 to 69","Iowa","Black","--","3,176","--"
-"Suicide","65 to 69","Kansas","White","35","150,815","23.21"
-"Suicide","65 to 69","Kansas","Black","--","7,654","--"
-"Suicide","65 to 69","Kentucky","White","38","239,218","15.89"
-"Suicide","65 to 69","Kentucky","Black","--","18,050","--"
-"Suicide","65 to 69","Louisiana","White","30","180,005","16.67"
-"Suicide","65 to 69","Louisiana","Black","--","74,556","--"
-"Suicide","65 to 69","Maine","White","25","98,472","25.39"
-"Suicide","65 to 69","Maine","Black","--","593","--"
-"Suicide","65 to 69","Maryland","White","24","214,811","11.17"
-"Suicide","65 to 69","Maryland","Black","--","96,983","--"
-"Suicide","65 to 69","Massachusetts","White","29","355,213","8.16"
-"Suicide","65 to 69","Massachusetts","Black","--","25,636","--"
-"Suicide","65 to 69","Michigan","White","89","534,220","16.66"
-"Suicide","65 to 69","Michigan","Black","--","68,318","--"
-"Suicide","65 to 69","Minnesota","White","38","303,105","12.54"
-"Suicide","65 to 69","Minnesota","Black","--","10,420","--"
-"Suicide","65 to 69","Mississippi","White","20**","108,062","18.51"
-"Suicide","65 to 69","Mississippi","Black","--","56,073","--"
-"Suicide","65 to 69","Missouri","White","66","317,274","20.80"
-"Suicide","65 to 69","Missouri","Black","--","33,398","--"
-"Suicide","65 to 69","Montana","White","20**","70,593","28.33"
-"Suicide","65 to 69","Montana","Black","--","184","--"
-"Suicide","65 to 69","Nebraska","White","16**","101,595","15.75"
-"Suicide","65 to 69","Nebraska","Black","--","3,354","--"
-"Suicide","65 to 69","Nevada","White","26","136,363","19.07"
-"Suicide","65 to 69","Nevada","Black","--","13,883","--"
-"Suicide","65 to 69","New Hampshire","White","19**","91,513","20.76"
-"Suicide","65 to 69","New Hampshire","Black","--","783","--"
-"Suicide","65 to 69","New Jersey","White","47","403,400","11.65"
-"Suicide","65 to 69","New Jersey","Black","--","62,349","--"
-"Suicide","65 to 69","New Mexico","White","27","111,728","24.17"
-"Suicide","65 to 69","New Mexico","Black","--","2,567","--"
-"Suicide","65 to 69","New York","White","92","828,108","11.11"
-"Suicide","65 to 69","New York","Black","--","170,532","--"
-"Suicide","65 to 69","North Carolina","White","98","462,212","21.20"
-"Suicide","65 to 69","North Carolina","Black","--","118,849","--"
-"Suicide","65 to 69","North Dakota","White","--","40,236","--"
-"Suicide","65 to 69","North Dakota","Black","--","361","--"
-"Suicide","65 to 69","Ohio","White","95","618,913","15.35"
-"Suicide","65 to 69","Ohio","Black","--","72,436","--"
-"Suicide","65 to 69","Oklahoma","White","44","176,678","24.90"
-"Suicide","65 to 69","Oklahoma","Black","--","13,784","--"
-"Suicide","65 to 69","Oregon","White","47","239,323","19.64"
-"Suicide","65 to 69","Oregon","Black","--","3,645","--"
-"Suicide","65 to 69","Pennsylvania","White","93","717,464","12.96"
-"Suicide","65 to 69","Pennsylvania","Black","--","68,715","--"
-"Suicide","65 to 69","Rhode Island","White","--","60,525","--"
-"Suicide","65 to 69","Rhode Island","Black","--","3,829","--"
-"Suicide","65 to 69","South Carolina","White","62","244,813","25.33"
-"Suicide","65 to 69","South Carolina","Black","--","74,236","--"
-"Suicide","65 to 69","South Dakota","White","--","52,939","--"
-"Suicide","65 to 69","South Dakota","Black","--","425","--"
-"Suicide","65 to 69","Tennessee","White","79","335,602","23.54"
-"Suicide","65 to 69","Tennessee","Black","--","56,286","--"
-"Suicide","65 to 69","Texas","White","106","612,306","17.31"
-"Suicide","65 to 69","Texas","Black","--","116,514","--"
-"Suicide","65 to 69","Utah","White","34","129,446","26.27"
-"Suicide","65 to 69","Utah","Black","--","1,154","--"
-"Suicide","65 to 69","Vermont","White","--","44,142","--"
-"Suicide","65 to 69","Vermont","Black","--","308","--"
-"Suicide","65 to 69","Virginia","White","77","349,570","22.03"
-"Suicide","65 to 69","Virginia","Black","--","88,125","--"
-"Suicide","65 to 69","Washington","White","82","369,741","22.18"
-"Suicide","65 to 69","Washington","Black","--","13,133","--"
-"Suicide","65 to 69","West Virginia","White","27","112,800","23.94"
-"Suicide","65 to 69","West Virginia","Black","--","3,724","--"
-"Suicide","65 to 69","Wisconsin","White","53","343,002","15.45"
-"Suicide","65 to 69","Wisconsin","Black","--","13,511","--"
-"Suicide","65 to 69","Wyoming","White","10**","36,161","27.65"
-"Suicide","65 to 69","Wyoming","Black","--","330","--"
-"Suicide","70 to 74","Alabama","White","32","184,518","17.34"
-"Suicide","70 to 74","Alabama","Black","--","52,309","--"
-"Suicide","70 to 74","Alaska","White","--","21,908","--"
-"Suicide","70 to 74","Alaska","Black","--","641","--"
-"Suicide","70 to 74","Arizona","White","102","331,009","30.81"
-"Suicide","70 to 74","Arizona","Black","--","10,831","--"
-"Suicide","70 to 74","Arkansas","White","31","121,280","25.56"
-"Suicide","70 to 74","Arkansas","Black","--","16,676","--"
-"Suicide","70 to 74","California","White","99","789,014","12.55"
-"Suicide","70 to 74","California","Black","--","58,171","--"
-"Suicide","70 to 74","Colorado","White","49","231,377","21.18"
-"Suicide","70 to 74","Colorado","Black","--","7,034","--"
-"Suicide","70 to 74","Connecticut","White","17**","146,054","11.64"
-"Suicide","70 to 74","Connecticut","Black","--","13,070","--"
-"Suicide","70 to 74","Delaware","White","--","46,181","--"
-"Suicide","70 to 74","Delaware","Black","--","8,863","--"
-"Suicide","70 to 74","District of Columbia","White","--","9,281","--"
-"Suicide","70 to 74","District of Columbia","Black","--","12,135","--"
-"Suicide","70 to 74","Florida","White","126","694,340","18.15"
-"Suicide","70 to 74","Florida","Black","--","92,155","--"
-"Suicide","70 to 74","Georgia","White","60","306,108","19.60"
-"Suicide","70 to 74","Georgia","Black","--","117,118","--"
-"Suicide","70 to 74","Hawaii","White","--","24,474","--"
-"Suicide","70 to 74","Hawaii","Black","--","681","--"
-"Suicide","70 to 74","Idaho","White","25","86,122","29.03"
-"Suicide","70 to 74","Idaho","Black","--","295","--"
-"Suicide","70 to 74","Illinois","White","67","455,473","14.71"
-"Suicide","70 to 74","Illinois","Black","--","67,639","--"
-"Suicide","70 to 74","Indiana","White","40","276,868","14.45"
-"Suicide","70 to 74","Indiana","Black","--","20,494","--"
-"Suicide","70 to 74","Iowa","White","15**","146,058","10.27"
-"Suicide","70 to 74","Iowa","Black","--","2,143","--"
-"Suicide","70 to 74","Kansas","White","25","120,373","20.77"
-"Suicide","70 to 74","Kansas","Black","--","5,347","--"
-"Suicide","70 to 74","Kentucky","White","43","197,198","21.81"
-"Suicide","70 to 74","Kentucky","Black","--","13,068","--"
-"Suicide","70 to 74","Louisiana","White","34","147,133","23.11"
-"Suicide","70 to 74","Louisiana","Black","--","54,927","--"
-"Suicide","70 to 74","Maine","White","13**","81,896","15.87"
-"Suicide","70 to 74","Maine","Black","--","364","--"
-"Suicide","70 to 74","Maryland","White","20**","175,371","11.40"
-"Suicide","70 to 74","Maryland","Black","--","75,287","--"
-"Suicide","70 to 74","Massachusetts","White","17**","290,138","5.86"
-"Suicide","70 to 74","Massachusetts","Black","--","18,157","--"
-"Suicide","70 to 74","Michigan","White","57","430,369","13.24"
-"Suicide","70 to 74","Michigan","Black","--","52,772","--"
-"Suicide","70 to 74","Minnesota","White","37","242,661","15.25"
-"Suicide","70 to 74","Minnesota","Black","--","6,722","--"
-"Suicide","70 to 74","Mississippi","White","25","92,150","27.13"
-"Suicide","70 to 74","Mississippi","Black","--","40,514","--"
-"Suicide","70 to 74","Missouri","White","66","257,208","25.66"
-"Suicide","70 to 74","Missouri","Black","--","24,097","--"
-"Suicide","70 to 74","Montana","White","19**","58,647","32.40"
-"Suicide","70 to 74","Montana","Black","--","116","--"
-"Suicide","70 to 74","Nebraska","White","17**","82,935","20.50"
-"Suicide","70 to 74","Nebraska","Black","--","2,418","--"
-"Suicide","70 to 74","Nevada","White","30","115,652","25.94"
-"Suicide","70 to 74","Nevada","Black","--","10,454","--"
-"Suicide","70 to 74","New Hampshire","White","10**","72,210","13.85"
-"Suicide","70 to 74","New Hampshire","Black","--","480","--"
-"Suicide","70 to 74","New Jersey","White","30","322,055","9.32"
-"Suicide","70 to 74","New Jersey","Black","--","45,472","--"
-"Suicide","70 to 74","New Mexico","White","24","98,360","24.40"
-"Suicide","70 to 74","New Mexico","Black","--","1,871","--"
-"Suicide","70 to 74","New York","White","60","689,039","8.71"
-"Suicide","70 to 74","New York","Black","--","127,225","--"
-"Suicide","70 to 74","North Carolina","White","75","391,721","19.15"
-"Suicide","70 to 74","North Carolina","Black","--","90,717","--"
-"Suicide","70 to 74","North Dakota","White","--","31,127","--"
-"Suicide","70 to 74","North Dakota","Black","--","213","--"
-"Suicide","70 to 74","Ohio","White","92","504,041","18.25"
-"Suicide","70 to 74","Ohio","Black","--","53,778","--"
-"Suicide","70 to 74","Oklahoma","White","40","143,402","27.89"
-"Suicide","70 to 74","Oklahoma","Black","--","9,961","--"
-"Suicide","70 to 74","Oregon","White","59","209,195","28.20"
-"Suicide","70 to 74","Oregon","Black","--","2,584","--"
-"Suicide","70 to 74","Pennsylvania","White","103","583,490","17.65"
-"Suicide","70 to 74","Pennsylvania","Black","--","50,713","--"
-"Suicide","70 to 74","Rhode Island","White","--","48,526","--"
-"Suicide","70 to 74","Rhode Island","Black","--","2,248","--"
-"Suicide","70 to 74","South Carolina","White","47","213,364","22.03"
-"Suicide","70 to 74","South Carolina","Black","--","57,654","--"
-"Suicide","70 to 74","South Dakota","White","--","41,186","--"
-"Suicide","70 to 74","South Dakota","Black","--","280","--"
-"Suicide","70 to 74","Tennessee","White","69","278,596","24.77"
-"Suicide","70 to 74","Tennessee","Black","--","40,238","--"
-"Suicide","70 to 74","Texas","White","72","476,929","15.10"
-"Suicide","70 to 74","Texas","Black","--","81,702","--"
-"Suicide","70 to 74","Utah","White","24","102,765","23.35"
-"Suicide","70 to 74","Utah","Black","--","699","--"
-"Suicide","70 to 74","Vermont","White","--","36,848","--"
-"Suicide","70 to 74","Vermont","Black","--","174","--"
-"Suicide","70 to 74","Virginia","White","43","294,063","14.62"
-"Suicide","70 to 74","Virginia","Black","--","64,958","--"
-"Suicide","70 to 74","Washington","White","54","307,141","17.58"
-"Suicide","70 to 74","Washington","Black","--","8,601","--"
-"Suicide","70 to 74","West Virginia","White","23","99,669","23.08"
-"Suicide","70 to 74","West Virginia","Black","--","2,691","--"
-"Suicide","70 to 74","Wisconsin","White","43","275,842","15.59"
-"Suicide","70 to 74","Wisconsin","Black","--","9,669","--"
-"Suicide","70 to 74","Wyoming","White","--","28,136","--"
-"Suicide","70 to 74","Wyoming","Black","--","238","--"
-"Suicide","75 to 79","Alabama","White","46","140,104","32.83"
-"Suicide","75 to 79","Alabama","Black","--","30,490","--"
-"Suicide","75 to 79","Alaska","White","--","13,780","--"
-"Suicide","75 to 79","Alaska","Black","--","340","--"
-"Suicide","75 to 79","Arizona","White","79","259,218","30.48"
-"Suicide","75 to 79","Arizona","Black","--","6,387","--"
-"Suicide","75 to 79","Arkansas","White","21","92,339","22.74"
-"Suicide","75 to 79","Arkansas","Black","--","9,305","--"
-"Suicide","75 to 79","California","White","119","580,958","20.48"
-"Suicide","75 to 79","California","Black","--","38,418","--"
-"Suicide","75 to 79","Colorado","White","42","156,941","26.76"
-"Suicide","75 to 79","Colorado","Black","--","4,030","--"
-"Suicide","75 to 79","Connecticut","White","12**","112,387","10.68"
-"Suicide","75 to 79","Connecticut","Black","--","8,954","--"
-"Suicide","75 to 79","Delaware","White","--","33,500","--"
-"Suicide","75 to 79","Delaware","Black","--","5,742","--"
-"Suicide","75 to 79","District of Columbia","White","--","7,171","--"
-"Suicide","75 to 79","District of Columbia","Black","--","7,913","--"
-"Suicide","75 to 79","Florida","White","129","564,876","22.84"
-"Suicide","75 to 79","Florida","Black","--","60,346","--"
-"Suicide","75 to 79","Georgia","White","60","230,570","26.02"
-"Suicide","75 to 79","Georgia","Black","--","69,728","--"
-"Suicide","75 to 79","Hawaii","White","--","17,293","--"
-"Suicide","75 to 79","Hawaii","Black","--","379","--"
-"Suicide","75 to 79","Idaho","White","19**","60,752","31.27"
-"Suicide","75 to 79","Idaho","Black","--","145","--"
-"Suicide","75 to 79","Illinois","White","41","325,487","12.60"
-"Suicide","75 to 79","Illinois","Black","--","44,504","--"
-"Suicide","75 to 79","Indiana","White","46","194,050","23.71"
-"Suicide","75 to 79","Indiana","Black","--","12,127","--"
-"Suicide","75 to 79","Iowa","White","32","101,116","31.65"
-"Suicide","75 to 79","Iowa","Black","--","1,154","--"
-"Suicide","75 to 79","Kansas","White","17**","84,520","20.11"
-"Suicide","75 to 79","Kansas","Black","--","3,233","--"
-"Suicide","75 to 79","Kentucky","White","29","138,272","20.97"
-"Suicide","75 to 79","Kentucky","Black","--","7,190","--"
-"Suicide","75 to 79","Louisiana","White","26","106,682","24.37"
-"Suicide","75 to 79","Louisiana","Black","--","33,035","--"
-"Suicide","75 to 79","Maine","White","11**","57,614","19.09"
-"Suicide","75 to 79","Maine","Black","--","197","--"
-"Suicide","75 to 79","Maryland","White","26","133,278","19.51"
-"Suicide","75 to 79","Maryland","Black","--","47,902","--"
-"Suicide","75 to 79","Massachusetts","White","17**","212,427","8.00"
-"Suicide","75 to 79","Massachusetts","Black","--","11,603","--"
-"Suicide","75 to 79","Michigan","White","71","301,682","23.53"
-"Suicide","75 to 79","Michigan","Black","--","33,687","--"
-"Suicide","75 to 79","Minnesota","White","24","168,004","14.29"
-"Suicide","75 to 79","Minnesota","Black","--","3,940","--"
-"Suicide","75 to 79","Mississippi","White","12**","69,918","17.16"
-"Suicide","75 to 79","Mississippi","Black","--","23,187","--"
-"Suicide","75 to 79","Missouri","White","46","186,024","24.73"
-"Suicide","75 to 79","Missouri","Black","--","15,316","--"
-"Suicide","75 to 79","Montana","White","15**","39,301","38.17"
-"Suicide","75 to 79","Montana","Black","--","48","--"
-"Suicide","75 to 79","Nebraska","White","--","56,549","--"
-"Suicide","75 to 79","Nebraska","Black","--","1,446","--"
-"Suicide","75 to 79","Nevada","White","30","86,617","34.64"
-"Suicide","75 to 79","Nevada","Black","--","6,666","--"
-"Suicide","75 to 79","New Hampshire","White","15**","50,635","29.62"
-"Suicide","75 to 79","New Hampshire","Black","--","275","--"
-"Suicide","75 to 79","New Jersey","White","25","243,451","10.27"
-"Suicide","75 to 79","New Jersey","Black","--","31,042","--"
-"Suicide","75 to 79","New Mexico","White","20**","70,044","28.55"
-"Suicide","75 to 79","New Mexico","Black","--","1,103","--"
-"Suicide","75 to 79","New York","White","46","508,617","9.04"
-"Suicide","75 to 79","New York","Black","--","89,277","--"
-"Suicide","75 to 79","North Carolina","White","74","292,145","25.33"
-"Suicide","75 to 79","North Carolina","Black","--","55,152","--"
-"Suicide","75 to 79","North Dakota","White","--","21,434","--"
-"Suicide","75 to 79","North Dakota","Black","--","80","--"
-"Suicide","75 to 79","Ohio","White","65","350,654","18.54"
-"Suicide","75 to 79","Ohio","Black","--","32,868","--"
-"Suicide","75 to 79","Oklahoma","White","27","106,504","25.35"
-"Suicide","75 to 79","Oklahoma","Black","--","5,905","--"
-"Suicide","75 to 79","Oregon","White","47","147,532","31.86"
-"Suicide","75 to 79","Oregon","Black","--","1,442","--"
-"Suicide","75 to 79","Pennsylvania","White","69","420,801","16.40"
-"Suicide","75 to 79","Pennsylvania","Black","--","32,124","--"
-"Suicide","75 to 79","Rhode Island","White","--","35,055","--"
-"Suicide","75 to 79","Rhode Island","Black","--","1,540","--"
-"Suicide","75 to 79","South Carolina","White","37","159,004","23.27"
-"Suicide","75 to 79","South Carolina","Black","--","35,919","--"
-"Suicide","75 to 79","South Dakota","White","--","25,922","--"
-"Suicide","75 to 79","South Dakota","Black","--","123","--"
-"Suicide","75 to 79","Tennessee","White","60","205,655","29.18"
-"Suicide","75 to 79","Tennessee","Black","--","22,850","--"
-"Suicide","75 to 79","Texas","White","64","335,643","19.07"
-"Suicide","75 to 79","Texas","Black","--","46,951","--"
-"Suicide","75 to 79","Utah","White","21","72,064","29.14"
-"Suicide","75 to 79","Utah","Black","--","332","--"
-"Suicide","75 to 79","Vermont","White","--","25,762","--"
-"Suicide","75 to 79","Vermont","Black","--","89","--"
-"Suicide","75 to 79","Virginia","White","51","222,159","22.96"
-"Suicide","75 to 79","Virginia","Black","--","40,596","--"
-"Suicide","75 to 79","Washington","White","62","219,080","28.30"
-"Suicide","75 to 79","Washington","Black","--","4,896","--"
-"Suicide","75 to 79","West Virginia","White","22","68,388","32.17"
-"Suicide","75 to 79","West Virginia","Black","--","1,577","--"
-"Suicide","75 to 79","Wisconsin","White","54","188,469","28.65"
-"Suicide","75 to 79","Wisconsin","Black","--","5,510","--"
-"Suicide","75 to 79","Wyoming","White","--","18,609","--"
-"Suicide","75 to 79","Wyoming","Black","--","95","--"
-"Suicide","80 to 84","Alabama","White","23","85,099","27.03"
-"Suicide","80 to 84","Alabama","Black","--","17,802","--"
-"Suicide","80 to 84","Alaska","White","--","7,019","--"
-"Suicide","80 to 84","Alaska","Black","--","176","--"
-"Suicide","80 to 84","Arizona","White","67","158,667","42.23"
-"Suicide","80 to 84","Arizona","Black","--","3,669","--"
-"Suicide","80 to 84","Arkansas","White","13**","57,541","22.59"
-"Suicide","80 to 84","Arkansas","Black","--","5,272","--"
-"Suicide","80 to 84","California","White","81","359,993","22.50"
-"Suicide","80 to 84","California","Black","--","25,929","--"
-"Suicide","80 to 84","Colorado","White","20**","89,427","22.36"
-"Suicide","80 to 84","Colorado","Black","--","2,622","--"
-"Suicide","80 to 84","Connecticut","White","12**","68,600","17.49"
-"Suicide","80 to 84","Connecticut","Black","--","5,640","--"
-"Suicide","80 to 84","Delaware","White","--","19,206","--"
-"Suicide","80 to 84","Delaware","Black","--","3,404","--"
-"Suicide","80 to 84","District of Columbia","White","--","4,280","--"
-"Suicide","80 to 84","District of Columbia","Black","--","5,495","--"
-"Suicide","80 to 84","Florida","White","77","372,261","20.68"
-"Suicide","80 to 84","Florida","Black","--","36,632","--"
-"Suicide","80 to 84","Georgia","White","38","134,303","28.29"
-"Suicide","80 to 84","Georgia","Black","--","38,946","--"
-"Suicide","80 to 84","Hawaii","White","--","8,776","--"
-"Suicide","80 to 84","Hawaii","Black","--","207","--"
-"Suicide","80 to 84","Idaho","White","13**","35,459","36.66"
-"Suicide","80 to 84","Idaho","Black","--","85","--"
-"Suicide","80 to 84","Illinois","White","32","205,771","15.55"
-"Suicide","80 to 84","Illinois","Black","--","28,734","--"
-"Suicide","80 to 84","Indiana","White","32","120,668","26.52"
-"Suicide","80 to 84","Indiana","Black","--","7,550","--"
-"Suicide","80 to 84","Iowa","White","16**","66,497","24.06"
-"Suicide","80 to 84","Iowa","Black","--","727","--"
-"Suicide","80 to 84","Kansas","White","15**","52,796","28.41"
-"Suicide","80 to 84","Kansas","Black","--","2,021","--"
-"Suicide","80 to 84","Kentucky","White","19**","82,958","22.90"
-"Suicide","80 to 84","Kentucky","Black","--","4,458","--"
-"Suicide","80 to 84","Louisiana","White","16**","65,100","24.58"
-"Suicide","80 to 84","Louisiana","Black","--","19,051","--"
-"Suicide","80 to 84","Maine","White","--","33,810","--"
-"Suicide","80 to 84","Maine","Black","--","136","--"
-"Suicide","80 to 84","Maryland","White","13**","82,123","15.83"
-"Suicide","80 to 84","Maryland","Black","--","28,623","--"
-"Suicide","80 to 84","Massachusetts","White","19**","127,688","14.88"
-"Suicide","80 to 84","Massachusetts","Black","--","7,135","--"
-"Suicide","80 to 84","Michigan","White","41","184,824","22.18"
-"Suicide","80 to 84","Michigan","Black","--","19,200","--"
-"Suicide","80 to 84","Minnesota","White","16**","107,521","14.88"
-"Suicide","80 to 84","Minnesota","Black","--","2,379","--"
-"Suicide","80 to 84","Mississippi","White","13**","43,433","29.93"
-"Suicide","80 to 84","Mississippi","Black","--","13,394","--"
-"Suicide","80 to 84","Missouri","White","39","116,562","33.46"
-"Suicide","80 to 84","Missouri","Black","--","9,215","--"
-"Suicide","80 to 84","Montana","White","12**","23,393","51.30"
-"Suicide","80 to 84","Montana","Black","--","66","--"
-"Suicide","80 to 84","Nebraska","White","--","35,755","--"
-"Suicide","80 to 84","Nebraska","Black","--","924","--"
-"Suicide","80 to 84","Nevada","White","17**","48,775","34.85"
-"Suicide","80 to 84","Nevada","Black","--","3,944","--"
-"Suicide","80 to 84","New Hampshire","White","--","29,025","--"
-"Suicide","80 to 84","New Hampshire","Black","--","152","--"
-"Suicide","80 to 84","New Jersey","White","26","151,821","17.13"
-"Suicide","80 to 84","New Jersey","Black","--","20,261","--"
-"Suicide","80 to 84","New Mexico","White","13**","41,309","31.47"
-"Suicide","80 to 84","New Mexico","Black","--","666","--"
-"Suicide","80 to 84","New York","White","36","324,013","11.11"
-"Suicide","80 to 84","New York","Black","--","59,265","--"
-"Suicide","80 to 84","North Carolina","White","44","170,139","25.86"
-"Suicide","80 to 84","North Carolina","Black","--","31,514","--"
-"Suicide","80 to 84","North Dakota","White","--","13,974","--"
-"Suicide","80 to 84","North Dakota","Black","--","38","--"
-"Suicide","80 to 84","Ohio","White","34","220,378","15.43"
-"Suicide","80 to 84","Ohio","Black","--","21,095","--"
-"Suicide","80 to 84","Oklahoma","White","23","66,458","34.61"
-"Suicide","80 to 84","Oklahoma","Black","--","3,373","--"
-"Suicide","80 to 84","Oregon","White","29","83,913","34.56"
-"Suicide","80 to 84","Oregon","Black","--","886","--"
-"Suicide","80 to 84","Pennsylvania","White","64","267,033","23.97"
-"Suicide","80 to 84","Pennsylvania","Black","--","20,181","--"
-"Suicide","80 to 84","Rhode Island","White","--","21,479","--"
-"Suicide","80 to 84","Rhode Island","Black","--","961","--"
-"Suicide","80 to 84","South Carolina","White","31","89,359","34.69"
-"Suicide","80 to 84","South Carolina","Black","--","19,823","--"
-"Suicide","80 to 84","South Dakota","White","--","16,008","--"
-"Suicide","80 to 84","South Dakota","Black","--","46","--"
-"Suicide","80 to 84","Tennessee","White","33","121,913","27.07"
-"Suicide","80 to 84","Tennessee","Black","--","13,112","--"
-"Suicide","80 to 84","Texas","White","44","195,442","22.51"
-"Suicide","80 to 84","Texas","Black","--","25,778","--"
-"Suicide","80 to 84","Utah","White","11**","43,033","25.56"
-"Suicide","80 to 84","Utah","Black","--","244","--"
-"Suicide","80 to 84","Vermont","White","--","14,773","--"
-"Suicide","80 to 84","Vermont","Black","--","42","--"
-"Suicide","80 to 84","Virginia","White","32","132,958","24.07"
-"Suicide","80 to 84","Virginia","Black","--","24,572","--"
-"Suicide","80 to 84","Washington","White","40","124,773","32.06"
-"Suicide","80 to 84","Washington","Black","--","2,729","--"
-"Suicide","80 to 84","West Virginia","White","16**","41,184","38.85"
-"Suicide","80 to 84","West Virginia","Black","--","860","--"
-"Suicide","80 to 84","Wisconsin","White","28","116,662","24.00"
-"Suicide","80 to 84","Wisconsin","Black","--","3,319","--"
-"Suicide","80 to 84","Wyoming","White","--","10,891","--"
-"Suicide","80 to 84","Wyoming","Black","--","49","--"
-"Suicide","85+","Alabama","White","21","74,889","28.04"
-"Suicide","85+","Alabama","Black","--","16,119","--"
-"Suicide","85+","Alaska","White","--","5,494","--"
-"Suicide","85+","Alaska","Black","--","172","--"
-"Suicide","85+","Arizona","White","50","138,656","36.06"
-"Suicide","85+","Arizona","Black","--","3,153","--"
-"Suicide","85+","Arkansas","White","10**","51,588","19.38"
-"Suicide","85+","Arkansas","Black","--","4,957","--"
-"Suicide","85+","California","White","100","375,374","26.64"
-"Suicide","85+","California","Black","--","25,723","--"
-"Suicide","85+","Colorado","White","35","83,500","41.92"
-"Suicide","85+","Colorado","Black","--","2,256","--"
-"Suicide","85+","Connecticut","White","15**","73,251","20.48"
-"Suicide","85+","Connecticut","Black","--","4,771","--"
-"Suicide","85+","Delaware","White","--","16,632","--"
-"Suicide","85+","Delaware","Black","--","2,681","--"
-"Suicide","85+","District of Columbia","White","--","4,491","--"
-"Suicide","85+","District of Columbia","Black","--","6,152","--"
-"Suicide","85+","Florida","White","85","381,603","22.27"
-"Suicide","85+","Florida","Black","--","32,353","--"
-"Suicide","85+","Georgia","White","35","116,451","30.06"
-"Suicide","85+","Georgia","Black","--","31,876","--"
-"Suicide","85+","Hawaii","White","--","8,280","--"
-"Suicide","85+","Hawaii","Black","--","204","--"
-"Suicide","85+","Idaho","White","10**","30,197","33.12"
-"Suicide","85+","Idaho","Black","--","71","--"
-"Suicide","85+","Illinois","White","31","215,666","14.37"
-"Suicide","85+","Illinois","Black","--","27,388","--"
-"Suicide","85+","Indiana","White","24","117,409","20.44"
-"Suicide","85+","Indiana","Black","--","6,727","--"
-"Suicide","85+","Iowa","White","11**","74,664","14.73"
-"Suicide","85+","Iowa","Black","--","627","--"
-"Suicide","85+","Kansas","White","10**","57,732","17.32"
-"Suicide","85+","Kansas","Black","--","1,872","--"
-"Suicide","85+","Kentucky","White","25","72,950","34.27"
-"Suicide","85+","Kentucky","Black","--","4,037","--"
-"Suicide","85+","Louisiana","White","16**","59,282","26.99"
-"Suicide","85+","Louisiana","Black","--","16,910","--"
-"Suicide","85+","Maine","White","18**","32,771","54.93"
-"Suicide","85+","Maine","Black","--","163","--"
-"Suicide","85+","Maryland","White","21","86,120","24.38"
-"Suicide","85+","Maryland","Black","--","25,536","--"
-"Suicide","85+","Massachusetts","White","19**","136,401","13.93"
-"Suicide","85+","Massachusetts","Black","--","6,846","--"
-"Suicide","85+","Michigan","White","35","174,193","20.09"
-"Suicide","85+","Michigan","Black","--","18,886","--"
-"Suicide","85+","Minnesota","White","25","116,597","21.44"
-"Suicide","85+","Minnesota","Black","--","1,982","--"
-"Suicide","85+","Mississippi","White","17**","38,975","43.62"
-"Suicide","85+","Mississippi","Black","--","11,845","--"
-"Suicide","85+","Missouri","White","33","115,067","28.68"
-"Suicide","85+","Missouri","Black","--","8,621","--"
-"Suicide","85+","Montana","White","11**","21,673","50.75"
-"Suicide","85+","Montana","Black","--","35","--"
-"Suicide","85+","Nebraska","White","--","39,212","--"
-"Suicide","85+","Nebraska","Black","--","747","--"
-"Suicide","85+","Nevada","White","23","37,663","61.07"
-"Suicide","85+","Nevada","Black","--","2,916","--"
-"Suicide","85+","New Hampshire","White","--","29,437","--"
-"Suicide","85+","New Hampshire","Black","--","126","--"
-"Suicide","85+","New Jersey","White","19**","163,370","11.63"
-"Suicide","85+","New Jersey","Black","--","18,968","--"
-"Suicide","85+","New Mexico","White","12**","36,506","32.87"
-"Suicide","85+","New Mexico","Black","--","567","--"
-"Suicide","85+","New York","White","51","357,100","14.28"
-"Suicide","85+","New York","Black","--","58,879","--"
-"Suicide","85+","North Carolina","White","48","153,825","31.20"
-"Suicide","85+","North Carolina","Black","--","27,478","--"
-"Suicide","85+","North Dakota","White","--","17,891","--"
-"Suicide","85+","North Dakota","Black","--","35","--"
-"Suicide","85+","Ohio","White","47","214,237","21.94"
-"Suicide","85+","Ohio","Black","--","21,021","--"
-"Suicide","85+","Oklahoma","White","19**","62,111","30.59"
-"Suicide","85+","Oklahoma","Black","--","2,781","--"
-"Suicide","85+","Oregon","White","38","77,219","49.21"
-"Suicide","85+","Oregon","Black","--","755","--"
-"Suicide","85+","Pennsylvania","White","71","283,200","25.07"
-"Suicide","85+","Pennsylvania","Black","--","19,606","--"
-"Suicide","85+","Rhode Island","White","--","24,191","--"
-"Suicide","85+","Rhode Island","Black","--","1,124","--"
-"Suicide","85+","South Carolina","White","21","74,055","28.36"
-"Suicide","85+","South Carolina","Black","--","16,459","--"
-"Suicide","85+","South Dakota","White","--","19,141","--"
-"Suicide","85+","South Dakota","Black","--","36","--"
-"Suicide","85+","Tennessee","White","29","104,678","27.70"
-"Suicide","85+","Tennessee","Black","--","11,564","--"
-"Suicide","85+","Texas","White","43","180,669","23.80"
-"Suicide","85+","Texas","Black","--","21,581","--"
-"Suicide","85+","Utah","White","--","37,176","--"
-"Suicide","85+","Utah","Black","--","180","--"
-"Suicide","85+","Vermont","White","10**","14,067","71.09"
-"Suicide","85+","Vermont","Black","--","60","--"
-"Suicide","85+","Virginia","White","38","124,985","30.40"
-"Suicide","85+","Virginia","Black","--","21,837","--"
-"Suicide","85+","Washington","White","45","118,907","37.84"
-"Suicide","85+","Washington","Black","--","2,387","--"
-"Suicide","85+","West Virginia","White","--","37,099","--"
-"Suicide","85+","West Virginia","Black","--","789","--"
-"Suicide","85+","Wisconsin","White","22","117,313","18.75"
-"Suicide","85+","Wisconsin","Black","--","2,800","--"
-"Suicide","85+","Wyoming","White","--","10,036","--"
-"Suicide","85+","Wyoming","Black","--","59","--"
-"Suicide","Unknown","Alabama","White","-","-","-"
-"Suicide","Unknown","Alabama","Black","-","-","-"
-"Suicide","Unknown","Alaska","White","-","-","-"
-"Suicide","Unknown","Alaska","Black","-","-","-"
-"Suicide","Unknown","Arizona","White","-","-","-"
-"Suicide","Unknown","Arizona","Black","-","-","-"
-"Suicide","Unknown","Arkansas","White","-","-","-"
-"Suicide","Unknown","Arkansas","Black","-","-","-"
-"Suicide","Unknown","California","White","-","-","-"
-"Suicide","Unknown","California","Black","-","-","-"
-"Suicide","Unknown","Colorado","White","-","-","-"
-"Suicide","Unknown","Colorado","Black","-","-","-"
-"Suicide","Unknown","Connecticut","White","-","-","-"
-"Suicide","Unknown","Connecticut","Black","-","-","-"
-"Suicide","Unknown","Delaware","White","-","-","-"
-"Suicide","Unknown","Delaware","Black","-","-","-"
-"Suicide","Unknown","District of Columbia","White","-","-","-"
-"Suicide","Unknown","District of Columbia","Black","-","-","-"
-"Suicide","Unknown","Florida","White","--","-","--"
-"Suicide","Unknown","Florida","Black","-","-","-"
-"Suicide","Unknown","Georgia","White","-","-","-"
-"Suicide","Unknown","Georgia","Black","-","-","-"
-"Suicide","Unknown","Hawaii","White","-","-","-"
-"Suicide","Unknown","Hawaii","Black","-","-","-"
-"Suicide","Unknown","Idaho","White","-","-","-"
-"Suicide","Unknown","Idaho","Black","-","-","-"
-"Suicide","Unknown","Illinois","White","-","-","-"
-"Suicide","Unknown","Illinois","Black","-","-","-"
-"Suicide","Unknown","Indiana","White","-","-","-"
-"Suicide","Unknown","Indiana","Black","-","-","-"
-"Suicide","Unknown","Iowa","White","-","-","-"
-"Suicide","Unknown","Iowa","Black","-","-","-"
-"Suicide","Unknown","Kansas","White","-","-","-"
-"Suicide","Unknown","Kansas","Black","-","-","-"
-"Suicide","Unknown","Kentucky","White","-","-","-"
-"Suicide","Unknown","Kentucky","Black","-","-","-"
-"Suicide","Unknown","Louisiana","White","-","-","-"
-"Suicide","Unknown","Louisiana","Black","-","-","-"
-"Suicide","Unknown","Maine","White","-","-","-"
-"Suicide","Unknown","Maine","Black","-","-","-"
-"Suicide","Unknown","Maryland","White","-","-","-"
-"Suicide","Unknown","Maryland","Black","-","-","-"
-"Suicide","Unknown","Massachusetts","White","-","-","-"
-"Suicide","Unknown","Massachusetts","Black","-","-","-"
-"Suicide","Unknown","Michigan","White","-","-","-"
-"Suicide","Unknown","Michigan","Black","-","-","-"
-"Suicide","Unknown","Minnesota","White","-","-","-"
-"Suicide","Unknown","Minnesota","Black","-","-","-"
-"Suicide","Unknown","Mississippi","White","-","-","-"
-"Suicide","Unknown","Mississippi","Black","-","-","-"
-"Suicide","Unknown","Missouri","White","-","-","-"
-"Suicide","Unknown","Missouri","Black","-","-","-"
-"Suicide","Unknown","Montana","White","-","-","-"
-"Suicide","Unknown","Montana","Black","-","-","-"
-"Suicide","Unknown","Nebraska","White","-","-","-"
-"Suicide","Unknown","Nebraska","Black","-","-","-"
-"Suicide","Unknown","Nevada","White","-","-","-"
-"Suicide","Unknown","Nevada","Black","-","-","-"
-"Suicide","Unknown","New Hampshire","White","-","-","-"
-"Suicide","Unknown","New Hampshire","Black","-","-","-"
-"Suicide","Unknown","New Jersey","White","-","-","-"
-"Suicide","Unknown","New Jersey","Black","-","-","-"
-"Suicide","Unknown","New Mexico","White","-","-","-"
-"Suicide","Unknown","New Mexico","Black","-","-","-"
-"Suicide","Unknown","New York","White","-","-","-"
-"Suicide","Unknown","New York","Black","-","-","-"
-"Suicide","Unknown","North Carolina","White","-","-","-"
-"Suicide","Unknown","North Carolina","Black","-","-","-"
-"Suicide","Unknown","North Dakota","White","-","-","-"
-"Suicide","Unknown","North Dakota","Black","-","-","-"
-"Suicide","Unknown","Ohio","White","-","-","-"
-"Suicide","Unknown","Ohio","Black","-","-","-"
-"Suicide","Unknown","Oklahoma","White","-","-","-"
-"Suicide","Unknown","Oklahoma","Black","-","-","-"
-"Suicide","Unknown","Oregon","White","-","-","-"
-"Suicide","Unknown","Oregon","Black","-","-","-"
-"Suicide","Unknown","Pennsylvania","White","-","-","-"
-"Suicide","Unknown","Pennsylvania","Black","-","-","-"
-"Suicide","Unknown","Rhode Island","White","-","-","-"
-"Suicide","Unknown","Rhode Island","Black","-","-","-"
-"Suicide","Unknown","South Carolina","White","-","-","-"
-"Suicide","Unknown","South Carolina","Black","-","-","-"
-"Suicide","Unknown","South Dakota","White","-","-","-"
-"Suicide","Unknown","South Dakota","Black","-","-","-"
-"Suicide","Unknown","Tennessee","White","-","-","-"
-"Suicide","Unknown","Tennessee","Black","-","-","-"
-"Suicide","Unknown","Texas","White","--","-","--"
-"Suicide","Unknown","Texas","Black","-","-","-"
-"Suicide","Unknown","Utah","White","-","-","-"
-"Suicide","Unknown","Utah","Black","-","-","-"
-"Suicide","Unknown","Vermont","White","-","-","-"
-"Suicide","Unknown","Vermont","Black","-","-","-"
-"Suicide","Unknown","Virginia","White","-","-","-"
-"Suicide","Unknown","Virginia","Black","-","-","-"
-"Suicide","Unknown","Washington","White","-","-","-"
-"Suicide","Unknown","Washington","Black","-","-","-"
-"Suicide","Unknown","West Virginia","White","-","-","-"
-"Suicide","Unknown","West Virginia","Black","-","-","-"
-"Suicide","Unknown","Wisconsin","White","-","-","-"
-"Suicide","Unknown","Wisconsin","Black","-","-","-"
-"Suicide","Unknown","Wyoming","White","-","-","-"
-"Suicide","Unknown","Wyoming","Black","-","-","-"
-"Homicide","0 to 4","Alabama","White","--","180,341","--"
-"Homicide","0 to 4","Alabama","Black","10**","89,099","11.22"
-"Homicide","0 to 4","Alaska","White","--","23,352","--"
-"Homicide","0 to 4","Alaska","Black","--","1,810","--"
-"Homicide","0 to 4","Arizona","White","--","296,789","--"
-"Homicide","0 to 4","Arizona","Black","--","27,145","--"
-"Homicide","0 to 4","Arkansas","White","--","127,187","--"
-"Homicide","0 to 4","Arkansas","Black","--","35,259","--"
-"Homicide","0 to 4","California","White","--","918,284","--"
-"Homicide","0 to 4","California","Black","--","84,896","--"
-"Homicide","0 to 4","Colorado","White","--","241,393","--"
-"Homicide","0 to 4","Colorado","Black","--","20,295","--"
-"Homicide","0 to 4","Connecticut","White","--","124,676","--"
-"Homicide","0 to 4","Connecticut","Black","--","30,095","--"
-"Homicide","0 to 4","Delaware","White","--","30,969","--"
-"Homicide","0 to 4","Delaware","Black","--","15,323","--"
-"Homicide","0 to 4","District of Columbia","White","--","15,627","--"
-"Homicide","0 to 4","District of Columbia","Black","--","18,658","--"
-"Homicide","0 to 4","Florida","White","11**","533,690","2.06"
-"Homicide","0 to 4","Florida","Black","12**","178,163","6.74"
-"Homicide","0 to 4","Georgia","White","--","335,064","--"
-"Homicide","0 to 4","Georgia","Black","20**","227,140","8.81"
-"Homicide","0 to 4","Hawaii","White","--","15,012","--"
-"Homicide","0 to 4","Hawaii","Black","--","1,896","--"
-"Homicide","0 to 4","Idaho","White","--","100,323","--"
-"Homicide","0 to 4","Idaho","Black","--","1,752","--"
-"Homicide","0 to 4","Illinois","White","16**","481,889","3.32"
-"Homicide","0 to 4","Illinois","Black","--","116,710","--"
-"Homicide","0 to 4","Indiana","White","--","313,669","--"
-"Homicide","0 to 4","Indiana","Black","--","53,660","--"
-"Homicide","0 to 4","Iowa","White","--","154,058","--"
-"Homicide","0 to 4","Iowa","Black","--","13,703","--"
-"Homicide","0 to 4","Kansas","White","--","141,473","--"
-"Homicide","0 to 4","Kansas","Black","--","13,238","--"
-"Homicide","0 to 4","Kentucky","White","--","213,657","--"
-"Homicide","0 to 4","Kentucky","Black","--","27,248","--"
-"Homicide","0 to 4","Louisiana","White","10**","153,492","6.52"
-"Homicide","0 to 4","Louisiana","Black","18**","106,289","16.94"
-"Homicide","0 to 4","Maine","White","--","54,442","--"
-"Homicide","0 to 4","Maine","Black","--","2,822","--"
-"Homicide","0 to 4","Maryland","White","--","181,975","--"
-"Homicide","0 to 4","Maryland","Black","--","113,480","--"
-"Homicide","0 to 4","Massachusetts","White","--","236,165","--"
-"Homicide","0 to 4","Massachusetts","Black","--","52,496","--"
-"Homicide","0 to 4","Michigan","White","11**","380,098","2.89"
-"Homicide","0 to 4","Michigan","Black","14**","98,116","14.27"
-"Homicide","0 to 4","Minnesota","White","--","237,344","--"
-"Homicide","0 to 4","Minnesota","Black","--","40,249","--"
-"Homicide","0 to 4","Mississippi","White","--","89,424","--"
-"Homicide","0 to 4","Mississippi","Black","--","75,092","--"
-"Homicide","0 to 4","Missouri","White","--","266,780","--"
-"Homicide","0 to 4","Missouri","Black","17**","52,085","32.64"
-"Homicide","0 to 4","Montana","White","--","47,093","--"
-"Homicide","0 to 4","Montana","Black","--","490","--"
-"Homicide","0 to 4","Nebraska","White","--","99,031","--"
-"Homicide","0 to 4","Nebraska","Black","--","9,179","--"
-"Homicide","0 to 4","Nevada","White","--","109,375","--"
-"Homicide","0 to 4","Nevada","Black","--","25,766","--"
-"Homicide","0 to 4","New Hampshire","White","--","55,451","--"
-"Homicide","0 to 4","New Hampshire","Black","--","2,002","--"
-"Homicide","0 to 4","New Jersey","White","--","332,263","--"
-"Homicide","0 to 4","New Jersey","Black","--","94,492","--"
-"Homicide","0 to 4","New Mexico","White","--","81,687","--"
-"Homicide","0 to 4","New Mexico","Black","--","3,549","--"
-"Homicide","0 to 4","New York","White","--","657,477","--"
-"Homicide","0 to 4","New York","Black","--","219,142","--"
-"Homicide","0 to 4","North Carolina","White","--","365,980","--"
-"Homicide","0 to 4","North Carolina","Black","16**","151,185","10.58"
-"Homicide","0 to 4","North Dakota","White","--","37,635","--"
-"Homicide","0 to 4","North Dakota","Black","--","3,388","--"
-"Homicide","0 to 4","Ohio","White","14**","482,242","2.90"
-"Homicide","0 to 4","Ohio","Black","18**","112,281","16.03"
-"Homicide","0 to 4","Oklahoma","White","--","149,184","--"
-"Homicide","0 to 4","Oklahoma","Black","--","23,449","--"
-"Homicide","0 to 4","Oregon","White","--","161,587","--"
-"Homicide","0 to 4","Oregon","Black","--","6,167","--"
-"Homicide","0 to 4","Pennsylvania","White","15**","482,785","3.11"
-"Homicide","0 to 4","Pennsylvania","Black","16**","108,552","14.74"
-"Homicide","0 to 4","Rhode Island","White","--","37,347","--"
-"Homicide","0 to 4","Rhode Island","Black","--","7,223","--"
-"Homicide","0 to 4","South Carolina","White","--","174,248","--"
-"Homicide","0 to 4","South Carolina","Black","--","86,126","--"
-"Homicide","0 to 4","South Dakota","White","--","42,132","--"
-"Homicide","0 to 4","South Dakota","Black","--","2,414","--"
-"Homicide","0 to 4","Tennessee","White","11**","288,863","3.81"
-"Homicide","0 to 4","Tennessee","Black","--","81,357","--"
-"Homicide","0 to 4","Texas","White","12**","822,522","1.46"
-"Homicide","0 to 4","Texas","Black","14**","215,347","6.50"
-"Homicide","0 to 4","Utah","White","--","199,577","--"
-"Homicide","0 to 4","Utah","Black","--","4,364","--"
-"Homicide","0 to 4","Vermont","White","--","24,870","--"
-"Homicide","0 to 4","Vermont","Black","--","651","--"
-"Homicide","0 to 4","Virginia","White","--","303,460","--"
-"Homicide","0 to 4","Virginia","Black","10**","108,228","9.24"
-"Homicide","0 to 4","Washington","White","--","287,699","--"
-"Homicide","0 to 4","Washington","Black","--","24,308","--"
-"Homicide","0 to 4","West Virginia","White","--","78,223","--"
-"Homicide","0 to 4","West Virginia","Black","--","3,606","--"
-"Homicide","0 to 4","Wisconsin","White","--","242,169","--"
-"Homicide","0 to 4","Wisconsin","Black","--","32,763","--"
-"Homicide","0 to 4","Wyoming","White","--","27,196","--"
-"Homicide","0 to 4","Wyoming","Black","--","489","--"
-"Homicide","5 to 9","Alabama","White","--","195,845","--"
-"Homicide","5 to 9","Alabama","Black","--","88,383","--"
-"Homicide","5 to 9","Alaska","White","--","26,339","--"
-"Homicide","5 to 9","Alaska","Black","--","1,903","--"
-"Homicide","5 to 9","Arizona","White","--","329,307","--"
-"Homicide","5 to 9","Arizona","Black","--","30,234","--"
-"Homicide","5 to 9","Arkansas","White","--","139,243","--"
-"Homicide","5 to 9","Arkansas","Black","--","34,774","--"
-"Homicide","5 to 9","California","White","--","1,021,998","--"
-"Homicide","5 to 9","California","Black","--","85,783","--"
-"Homicide","5 to 9","Colorado","White","--","268,503","--"
-"Homicide","5 to 9","Colorado","Black","--","18,706","--"
-"Homicide","5 to 9","Connecticut","White","--","140,462","--"
-"Homicide","5 to 9","Connecticut","Black","--","29,507","--"
-"Homicide","5 to 9","Delaware","White","--","33,312","--"
-"Homicide","5 to 9","Delaware","Black","--","16,117","--"
-"Homicide","5 to 9","District of Columbia","White","--","12,913","--"
-"Homicide","5 to 9","District of Columbia","Black","--","20,234","--"
-"Homicide","5 to 9","Florida","White","--","568,242","--"
-"Homicide","5 to 9","Florida","Black","--","194,715","--"
-"Homicide","5 to 9","Georgia","White","--","366,117","--"
-"Homicide","5 to 9","Georgia","Black","--","241,878","--"
-"Homicide","5 to 9","Hawaii","White","--","16,226","--"
-"Homicide","5 to 9","Hawaii","Black","--","1,849","--"
-"Homicide","5 to 9","Idaho","White","--","114,789","--"
-"Homicide","5 to 9","Idaho","Black","--","1,484","--"
-"Homicide","5 to 9","Illinois","White","--","536,488","--"
-"Homicide","5 to 9","Illinois","Black","--","124,564","--"
-"Homicide","5 to 9","Indiana","White","--","339,678","--"
-"Homicide","5 to 9","Indiana","Black","--","54,854","--"
-"Homicide","5 to 9","Iowa","White","--","168,273","--"
-"Homicide","5 to 9","Iowa","Black","--","12,952","--"
-"Homicide","5 to 9","Kansas","White","--","156,022","--"
-"Homicide","5 to 9","Kansas","Black","--","13,212","--"
-"Homicide","5 to 9","Kentucky","White","--","228,872","--"
-"Homicide","5 to 9","Kentucky","Black","--","26,767","--"
-"Homicide","5 to 9","Louisiana","White","--","166,006","--"
-"Homicide","5 to 9","Louisiana","Black","--","108,466","--"
-"Homicide","5 to 9","Maine","White","--","60,618","--"
-"Homicide","5 to 9","Maine","Black","--","2,375","--"
-"Homicide","5 to 9","Maryland","White","--","194,022","--"
-"Homicide","5 to 9","Maryland","Black","--","121,062","--"
-"Homicide","5 to 9","Massachusetts","White","--","260,644","--"
-"Homicide","5 to 9","Massachusetts","Black","--","46,792","--"
-"Homicide","5 to 9","Michigan","White","--","420,464","--"
-"Homicide","5 to 9","Michigan","Black","--","100,527","--"
-"Homicide","5 to 9","Minnesota","White","--","260,924","--"
-"Homicide","5 to 9","Minnesota","Black","--","43,820","--"
-"Homicide","5 to 9","Mississippi","White","--","97,202","--"
-"Homicide","5 to 9","Mississippi","Black","--","74,257","--"
-"Homicide","5 to 9","Missouri","White","--","288,933","--"
-"Homicide","5 to 9","Missouri","Black","--","52,583","--"
-"Homicide","5 to 9","Montana","White","--","53,642","--"
-"Homicide","5 to 9","Montana","Black","--","506","--"
-"Homicide","5 to 9","Nebraska","White","--","107,959","--"
-"Homicide","5 to 9","Nebraska","Black","--","9,337","--"
-"Homicide","5 to 9","Nevada","White","--","125,774","--"
-"Homicide","5 to 9","Nevada","Black","--","25,726","--"
-"Homicide","5 to 9","New Hampshire","White","--","60,463","--"
-"Homicide","5 to 9","New Hampshire","Black","--","1,950","--"
-"Homicide","5 to 9","New Jersey","White","--","355,366","--"
-"Homicide","5 to 9","New Jersey","Black","--","94,868","--"
-"Homicide","5 to 9","New Mexico","White","--","92,171","--"
-"Homicide","5 to 9","New Mexico","Black","--","3,999","--"
-"Homicide","5 to 9","New York","White","--","706,845","--"
-"Homicide","5 to 9","New York","Black","--","207,675","--"
-"Homicide","5 to 9","North Carolina","White","--","389,028","--"
-"Homicide","5 to 9","North Carolina","Black","--","152,837","--"
-"Homicide","5 to 9","North Dakota","White","--","41,662","--"
-"Homicide","5 to 9","North Dakota","Black","--","2,647","--"
-"Homicide","5 to 9","Ohio","White","--","522,622","--"
-"Homicide","5 to 9","Ohio","Black","--","118,216","--"
-"Homicide","5 to 9","Oklahoma","White","--","170,292","--"
-"Homicide","5 to 9","Oklahoma","Black","--","22,416","--"
-"Homicide","5 to 9","Oregon","White","--","186,810","--"
-"Homicide","5 to 9","Oregon","Black","--","6,815","--"
-"Homicide","5 to 9","Pennsylvania","White","--","524,297","--"
-"Homicide","5 to 9","Pennsylvania","Black","--","115,368","--"
-"Homicide","5 to 9","Rhode Island","White","--","40,792","--"
-"Homicide","5 to 9","Rhode Island","Black","--","7,127","--"
-"Homicide","5 to 9","South Carolina","White","--","191,092","--"
-"Homicide","5 to 9","South Carolina","Black","--","88,438","--"
-"Homicide","5 to 9","South Dakota","White","--","45,215","--"
-"Homicide","5 to 9","South Dakota","Black","--","2,304","--"
-"Homicide","5 to 9","Tennessee","White","--","304,096","--"
-"Homicide","5 to 9","Tennessee","Black","--","82,016","--"
-"Homicide","5 to 9","Texas","White","--","907,424","--"
-"Homicide","5 to 9","Texas","Black","--","222,505","--"
-"Homicide","5 to 9","Utah","White","--","225,081","--"
-"Homicide","5 to 9","Utah","Black","--","4,156","--"
-"Homicide","5 to 9","Vermont","White","--","28,735","--"
-"Homicide","5 to 9","Vermont","Black","--","626","--"
-"Homicide","5 to 9","Virginia","White","--","326,955","--"
-"Homicide","5 to 9","Virginia","Black","--","109,021","--"
-"Homicide","5 to 9","Washington","White","--","323,165","--"
-"Homicide","5 to 9","Washington","Black","--","24,468","--"
-"Homicide","5 to 9","West Virginia","White","--","86,725","--"
-"Homicide","5 to 9","West Virginia","Black","--","3,819","--"
-"Homicide","5 to 9","Wisconsin","White","--","265,474","--"
-"Homicide","5 to 9","Wisconsin","Black","--","33,227","--"
-"Homicide","5 to 9","Wyoming","White","--","31,456","--"
-"Homicide","5 to 9","Wyoming","Black","--","531","--"
-"Homicide","10 to 14","Alabama","White","--","205,964","--"
-"Homicide","10 to 14","Alabama","Black","11**","93,054","11.82"
-"Homicide","10 to 14","Alaska","White","--","26,801","--"
-"Homicide","10 to 14","Alaska","Black","--","1,591","--"
-"Homicide","10 to 14","Arizona","White","--","353,118","--"
-"Homicide","10 to 14","Arizona","Black","--","31,062","--"
-"Homicide","10 to 14","Arkansas","White","--","148,612","--"
-"Homicide","10 to 14","Arkansas","Black","--","35,517","--"
-"Homicide","10 to 14","California","White","--","1,102,895","--"
-"Homicide","10 to 14","California","Black","--","96,818","--"
-"Homicide","10 to 14","Colorado","White","--","291,916","--"
-"Homicide","10 to 14","Colorado","Black","--","18,698","--"
-"Homicide","10 to 14","Connecticut","White","--","154,152","--"
-"Homicide","10 to 14","Connecticut","Black","--","33,262","--"
-"Homicide","10 to 14","Delaware","White","--","35,578","--"
-"Homicide","10 to 14","Delaware","Black","--","17,464","--"
-"Homicide","10 to 14","District of Columbia","White","--","10,030","--"
-"Homicide","10 to 14","District of Columbia","Black","--","19,064","--"
-"Homicide","10 to 14","Florida","White","--","595,866","--"
-"Homicide","10 to 14","Florida","Black","--","199,412","--"
-"Homicide","10 to 14","Georgia","White","--","395,408","--"
-"Homicide","10 to 14","Georgia","Black","--","263,115","--"
-"Homicide","10 to 14","Hawaii","White","--","14,561","--"
-"Homicide","10 to 14","Hawaii","Black","--","1,541","--"
-"Homicide","10 to 14","Idaho","White","--","124,404","--"
-"Homicide","10 to 14","Idaho","Black","--","1,458","--"
-"Homicide","10 to 14","Illinois","White","--","577,295","--"
-"Homicide","10 to 14","Illinois","Black","14**","126,689","11.05"
-"Homicide","10 to 14","Indiana","White","--","357,385","--"
-"Homicide","10 to 14","Indiana","Black","--","54,651","--"
-"Homicide","10 to 14","Iowa","White","--","177,987","--"
-"Homicide","10 to 14","Iowa","Black","--","12,077","--"
-"Homicide","10 to 14","Kansas","White","--","165,715","--"
-"Homicide","10 to 14","Kansas","Black","--","13,457","--"
-"Homicide","10 to 14","Kentucky","White","--","237,204","--"
-"Homicide","10 to 14","Kentucky","Black","--","28,434","--"
-"Homicide","10 to 14","Louisiana","White","--","169,790","--"
-"Homicide","10 to 14","Louisiana","Black","--","111,703","--"
-"Homicide","10 to 14","Maine","White","--","64,831","--"
-"Homicide","10 to 14","Maine","Black","--","2,340","--"
-"Homicide","10 to 14","Maryland","White","--","202,753","--"
-"Homicide","10 to 14","Maryland","Black","--","128,496","--"
-"Homicide","10 to 14","Massachusetts","White","--","283,173","--"
-"Homicide","10 to 14","Massachusetts","Black","--","46,221","--"
-"Homicide","10 to 14","Michigan","White","--","444,727","--"
-"Homicide","10 to 14","Michigan","Black","--","100,325","--"
-"Homicide","10 to 14","Minnesota","White","--","276,061","--"
-"Homicide","10 to 14","Minnesota","Black","--","41,186","--"
-"Homicide","10 to 14","Mississippi","White","--","105,118","--"
-"Homicide","10 to 14","Mississippi","Black","--","82,120","--"
-"Homicide","10 to 14","Missouri","White","--","305,546","--"
-"Homicide","10 to 14","Missouri","Black","--","53,259","--"
-"Homicide","10 to 14","Montana","White","--","56,230","--"
-"Homicide","10 to 14","Montana","Black","--","438","--"
-"Homicide","10 to 14","Nebraska","White","--","112,646","--"
-"Homicide","10 to 14","Nebraska","Black","--","8,930","--"
-"Homicide","10 to 14","Nevada","White","--","136,547","--"
-"Homicide","10 to 14","Nevada","Black","--","25,485","--"
-"Homicide","10 to 14","New Hampshire","White","--","65,676","--"
-"Homicide","10 to 14","New Hampshire","Black","--","2,061","--"
-"Homicide","10 to 14","New Jersey","White","--","381,256","--"
-"Homicide","10 to 14","New Jersey","Black","--","98,265","--"
-"Homicide","10 to 14","New Mexico","White","--","104,490","--"
-"Homicide","10 to 14","New Mexico","Black","--","4,199","--"
-"Homicide","10 to 14","New York","White","--","736,068","--"
-"Homicide","10 to 14","New York","Black","--","218,205","--"
-"Homicide","10 to 14","North Carolina","White","--","423,841","--"
-"Homicide","10 to 14","North Carolina","Black","--","160,799","--"
-"Homicide","10 to 14","North Dakota","White","--","40,919","--"
-"Homicide","10 to 14","North Dakota","Black","--","2,253","--"
-"Homicide","10 to 14","Ohio","White","--","549,428","--"
-"Homicide","10 to 14","Ohio","Black","10**","118,355","8.45"
-"Homicide","10 to 14","Oklahoma","White","--","180,955","--"
-"Homicide","10 to 14","Oklahoma","Black","--","22,855","--"
-"Homicide","10 to 14","Oregon","White","--","202,209","--"
-"Homicide","10 to 14","Oregon","Black","--","6,843","--"
-"Homicide","10 to 14","Pennsylvania","White","--","560,126","--"
-"Homicide","10 to 14","Pennsylvania","Black","--","117,603","--"
-"Homicide","10 to 14","Rhode Island","White","--","43,330","--"
-"Homicide","10 to 14","Rhode Island","Black","--","6,969","--"
-"Homicide","10 to 14","South Carolina","White","--","203,026","--"
-"Homicide","10 to 14","South Carolina","Black","--","97,936","--"
-"Homicide","10 to 14","South Dakota","White","--","47,707","--"
-"Homicide","10 to 14","South Dakota","Black","--","2,201","--"
-"Homicide","10 to 14","Tennessee","White","--","321,100","--"
-"Homicide","10 to 14","Tennessee","Black","--","84,442","--"
-"Homicide","10 to 14","Texas","White","16**","953,731","1.68"
-"Homicide","10 to 14","Texas","Black","10**","225,425","4.44"
-"Homicide","10 to 14","Utah","White","--","242,316","--"
-"Homicide","10 to 14","Utah","Black","--","4,801","--"
-"Homicide","10 to 14","Vermont","White","--","30,733","--"
-"Homicide","10 to 14","Vermont","Black","--","679","--"
-"Homicide","10 to 14","Virginia","White","--","339,961","--"
-"Homicide","10 to 14","Virginia","Black","--","112,671","--"
-"Homicide","10 to 14","Washington","White","--","341,099","--"
-"Homicide","10 to 14","Washington","Black","--","24,373","--"
-"Homicide","10 to 14","West Virginia","White","--","93,037","--"
-"Homicide","10 to 14","West Virginia","Black","--","3,952","--"
-"Homicide","10 to 14","Wisconsin","White","--","290,509","--"
-"Homicide","10 to 14","Wisconsin","Black","--","33,235","--"
-"Homicide","10 to 14","Wyoming","White","--","34,722","--"
-"Homicide","10 to 14","Wyoming","Black","--","464","--"
-"Homicide","15 to 19","Alabama","White","--","216,880","--"
-"Homicide","15 to 19","Alabama","Black","64","99,145","64.55"
-"Homicide","15 to 19","Alaska","White","--","24,423","--"
-"Homicide","15 to 19","Alaska","Black","--","1,548","--"
-"Homicide","15 to 19","Arizona","White","39","380,121","10.26"
-"Homicide","15 to 19","Arizona","Black","11**","30,510","36.05"
-"Homicide","15 to 19","Arkansas","White","--","152,386","--"
-"Homicide","15 to 19","Arkansas","Black","38","35,974","105.63"
-"Homicide","15 to 19","California","White","70","1,167,778","5.99"
-"Homicide","15 to 19","California","Black","28","101,244","27.66"
-"Homicide","15 to 19","Colorado","White","28","312,753","8.95"
-"Homicide","15 to 19","Colorado","Black","--","18,404","--"
-"Homicide","15 to 19","Connecticut","White","--","184,851","--"
-"Homicide","15 to 19","Connecticut","Black","--","35,466","--"
-"Homicide","15 to 19","Delaware","White","--","38,858","--"
-"Homicide","15 to 19","Delaware","Black","--","17,584","--"
-"Homicide","15 to 19","District of Columbia","White","--","14,978","--"
-"Homicide","15 to 19","District of Columbia","Black","20**","18,189","109.96"
-"Homicide","15 to 19","Florida","White","28","637,159","4.39"
-"Homicide","15 to 19","Florida","Black","63","192,189","32.78"
-"Homicide","15 to 19","Georgia","White","19**","421,291","4.51"
-"Homicide","15 to 19","Georgia","Black","135","264,705","51.00"
-"Homicide","15 to 19","Hawaii","White","--","13,445","--"
-"Homicide","15 to 19","Hawaii","Black","--","1,578","--"
-"Homicide","15 to 19","Idaho","White","--","134,012","--"
-"Homicide","15 to 19","Idaho","Black","--","1,700","--"
-"Homicide","15 to 19","Illinois","White","33","607,968","5.43"
-"Homicide","15 to 19","Illinois","Black","113","127,679","88.50"
-"Homicide","15 to 19","Indiana","White","--","373,693","--"
-"Homicide","15 to 19","Indiana","Black","43","53,292","80.69"
-"Homicide","15 to 19","Iowa","White","--","192,204","--"
-"Homicide","15 to 19","Iowa","Black","--","12,139","--"
-"Homicide","15 to 19","Kansas","White","--","170,880","--"
-"Homicide","15 to 19","Kansas","Black","--","14,109","--"
-"Homicide","15 to 19","Kentucky","White","10**","239,149","4.18"
-"Homicide","15 to 19","Kentucky","Black","17**","29,147","58.33"
-"Homicide","15 to 19","Louisiana","White","--","170,127","--"
-"Homicide","15 to 19","Louisiana","Black","99","113,544","87.19"
-"Homicide","15 to 19","Maine","White","--","70,821","--"
-"Homicide","15 to 19","Maine","Black","--","2,548","--"
-"Homicide","15 to 19","Maryland","White","--","210,916","--"
-"Homicide","15 to 19","Maryland","Black","46","125,876","36.54"
-"Homicide","15 to 19","Massachusetts","White","--","341,219","--"
-"Homicide","15 to 19","Massachusetts","Black","--","48,115","--"
-"Homicide","15 to 19","Michigan","White","12**","478,165","2.51"
-"Homicide","15 to 19","Michigan","Black","47","97,777","48.07"
-"Homicide","15 to 19","Minnesota","White","--","286,376","--"
-"Homicide","15 to 19","Minnesota","Black","10**","37,473","26.69"
-"Homicide","15 to 19","Mississippi","White","--","110,623","--"
-"Homicide","15 to 19","Mississippi","Black","60","87,150","68.85"
-"Homicide","15 to 19","Missouri","White","17**","315,503","5.39"
-"Homicide","15 to 19","Missouri","Black","70","53,308","131.31"
-"Homicide","15 to 19","Montana","White","--","57,187","--"
-"Homicide","15 to 19","Montana","Black","--","548","--"
-"Homicide","15 to 19","Nebraska","White","--","116,148","--"
-"Homicide","15 to 19","Nebraska","Black","--","8,503","--"
-"Homicide","15 to 19","Nevada","White","--","134,472","--"
-"Homicide","15 to 19","Nevada","Black","--","22,771","--"
-"Homicide","15 to 19","New Hampshire","White","--","73,107","--"
-"Homicide","15 to 19","New Hampshire","Black","--","2,208","--"
-"Homicide","15 to 19","New Jersey","White","--","397,153","--"
-"Homicide","15 to 19","New Jersey","Black","18**","94,125","19.12"
-"Homicide","15 to 19","New Mexico","White","21","111,651","18.81"
-"Homicide","15 to 19","New Mexico","Black","--","4,512","--"
-"Homicide","15 to 19","New York","White","12**","803,732","1.49"
-"Homicide","15 to 19","New York","Black","45","220,809","20.38"
-"Homicide","15 to 19","North Carolina","White","17**","465,152","3.65"
-"Homicide","15 to 19","North Carolina","Black","90","170,592","52.76"
-"Homicide","15 to 19","North Dakota","White","--","45,303","--"
-"Homicide","15 to 19","North Dakota","Black","--","1,865","--"
-"Homicide","15 to 19","Ohio","White","18**","576,605","3.12"
-"Homicide","15 to 19","Ohio","Black","94","112,976","83.20"
-"Homicide","15 to 19","Oklahoma","White","--","186,174","--"
-"Homicide","15 to 19","Oklahoma","Black","13**","24,525","53.01"
-"Homicide","15 to 19","Oregon","White","--","206,630","--"
-"Homicide","15 to 19","Oregon","Black","--","6,747","--"
-"Homicide","15 to 19","Pennsylvania","White","17**","636,865","2.67"
-"Homicide","15 to 19","Pennsylvania","Black","83","118,367","70.12"
-"Homicide","15 to 19","Rhode Island","White","--","56,302","--"
-"Homicide","15 to 19","Rhode Island","Black","--","7,483","--"
-"Homicide","15 to 19","South Carolina","White","--","218,694","--"
-"Homicide","15 to 19","South Carolina","Black","61","101,172","60.29"
-"Homicide","15 to 19","South Dakota","White","--","48,128","--"
-"Homicide","15 to 19","South Dakota","Black","--","1,726","--"
-"Homicide","15 to 19","Tennessee","White","16**","328,074","4.88"
-"Homicide","15 to 19","Tennessee","Black","68","83,100","81.83"
-"Homicide","15 to 19","Texas","White","117","959,510","12.19"
-"Homicide","15 to 19","Texas","Black","102","215,566","47.32"
-"Homicide","15 to 19","Utah","White","--","245,060","--"
-"Homicide","15 to 19","Utah","Black","--","4,625","--"
-"Homicide","15 to 19","Vermont","White","--","37,526","--"
-"Homicide","15 to 19","Vermont","Black","--","899","--"
-"Homicide","15 to 19","Virginia","White","12**","362,797","3.31"
-"Homicide","15 to 19","Virginia","Black","56","118,104","47.42"
-"Homicide","15 to 19","Washington","White","--","338,086","--"
-"Homicide","15 to 19","Washington","Black","--","22,579","--"
-"Homicide","15 to 19","West Virginia","White","--","97,496","--"
-"Homicide","15 to 19","West Virginia","Black","--","4,849","--"
-"Homicide","15 to 19","Wisconsin","White","--","315,281","--"
-"Homicide","15 to 19","Wisconsin","Black","31","31,838","97.37"
-"Homicide","15 to 19","Wyoming","White","--","35,452","--"
-"Homicide","15 to 19","Wyoming","Black","--","482","--"
-"Homicide","20 to 24","Alabama","White","14**","229,203","6.11"
-"Homicide","20 to 24","Alabama","Black","96","108,314","88.63"
-"Homicide","20 to 24","Alaska","White","--","30,319","--"
-"Homicide","20 to 24","Alaska","Black","--","2,839","--"
-"Homicide","20 to 24","Arizona","White","35","412,758","8.48"
-"Homicide","20 to 24","Arizona","Black","19**","33,004","57.57"
-"Homicide","20 to 24","Arkansas","White","--","158,002","--"
-"Homicide","20 to 24","Arkansas","Black","31","39,342","78.80"
-"Homicide","20 to 24","California","White","92","1,247,088","7.38"
-"Homicide","20 to 24","California","Black","49","115,207","42.53"
-"Homicide","20 to 24","Colorado","White","30","336,044","8.93"
-"Homicide","20 to 24","Colorado","Black","14**","21,525","65.04"
-"Homicide","20 to 24","Connecticut","White","--","182,182","--"
-"Homicide","20 to 24","Connecticut","Black","19**","35,572","53.41"
-"Homicide","20 to 24","Delaware","White","--","37,241","--"
-"Homicide","20 to 24","Delaware","Black","--","18,013","--"
-"Homicide","20 to 24","District of Columbia","White","--","23,632","--"
-"Homicide","20 to 24","District of Columbia","Black","17**","19,382","87.71"
-"Homicide","20 to 24","Florida","White","41","679,404","6.03"
-"Homicide","20 to 24","Florida","Black","90","199,250","45.17"
-"Homicide","20 to 24","Georgia","White","28","433,877","6.45"
-"Homicide","20 to 24","Georgia","Black","146","276,164","52.87"
-"Homicide","20 to 24","Hawaii","White","--","26,265","--"
-"Homicide","20 to 24","Hawaii","Black","--","3,657","--"
-"Homicide","20 to 24","Idaho","White","--","122,210","--"
-"Homicide","20 to 24","Idaho","Black","--","2,055","--"
-"Homicide","20 to 24","Illinois","White","37","622,549","5.94"
-"Homicide","20 to 24","Illinois","Black","134","137,775","97.26"
-"Homicide","20 to 24","Indiana","White","23","397,948","5.78"
-"Homicide","20 to 24","Indiana","Black","47","56,280","83.51"
-"Homicide","20 to 24","Iowa","White","--","203,529","--"
-"Homicide","20 to 24","Iowa","Black","--","13,181","--"
-"Homicide","20 to 24","Kansas","White","--","184,291","--"
-"Homicide","20 to 24","Kansas","Black","--","16,483","--"
-"Homicide","20 to 24","Kentucky","White","--","258,883","--"
-"Homicide","20 to 24","Kentucky","Black","24","32,644","73.52"
-"Homicide","20 to 24","Louisiana","White","12**","178,463","6.72"
-"Homicide","20 to 24","Louisiana","Black","128","119,461","107.15"
-"Homicide","20 to 24","Maine","White","--","71,385","--"
-"Homicide","20 to 24","Maine","Black","--","2,480","--"
-"Homicide","20 to 24","Maryland","White","10**","208,301","4.80"
-"Homicide","20 to 24","Maryland","Black","84","130,750","64.24"
-"Homicide","20 to 24","Massachusetts","White","--","375,819","--"
-"Homicide","20 to 24","Massachusetts","Black","--","51,126","--"
-"Homicide","20 to 24","Michigan","White","24","525,093","4.57"
-"Homicide","20 to 24","Michigan","Black","76","107,139","70.94"
-"Homicide","20 to 24","Minnesota","White","--","289,837","--"
-"Homicide","20 to 24","Minnesota","Black","18**","34,188","52.65"
-"Homicide","20 to 24","Mississippi","White","--","113,911","--"
-"Homicide","20 to 24","Mississippi","Black","77","87,800","87.70"
-"Homicide","20 to 24","Missouri","White","23","334,793","6.87"
-"Homicide","20 to 24","Missouri","Black","78","55,686","140.07"
-"Homicide","20 to 24","Montana","White","--","66,748","--"
-"Homicide","20 to 24","Montana","Black","--","890","--"
-"Homicide","20 to 24","Nebraska","White","--","122,100","--"
-"Homicide","20 to 24","Nebraska","Black","--","8,495","--"
-"Homicide","20 to 24","Nevada","White","12**","137,404","8.73"
-"Homicide","20 to 24","Nevada","Black","--","23,445","--"
-"Homicide","20 to 24","New Hampshire","White","--","78,484","--"
-"Homicide","20 to 24","New Hampshire","Black","--","2,355","--"
-"Homicide","20 to 24","New Jersey","White","10**","397,324","2.52"
-"Homicide","20 to 24","New Jersey","Black","26","100,941","25.76"
-"Homicide","20 to 24","New Mexico","White","14**","118,089","11.86"
-"Homicide","20 to 24","New Mexico","Black","--","5,172","--"
-"Homicide","20 to 24","New York","White","16**","865,371","1.85"
-"Homicide","20 to 24","New York","Black","72","248,202","29.01"
-"Homicide","20 to 24","North Carolina","White","15**","499,730","3.00"
-"Homicide","20 to 24","North Carolina","Black","106","180,717","58.66"
-"Homicide","20 to 24","North Dakota","White","--","54,872","--"
-"Homicide","20 to 24","North Dakota","Black","--","2,593","--"
-"Homicide","20 to 24","Ohio","White","18**","602,331","2.99"
-"Homicide","20 to 24","Ohio","Black","106","116,570","90.93"
-"Homicide","20 to 24","Oklahoma","White","--","200,949","--"
-"Homicide","20 to 24","Oklahoma","Black","11**","27,499","40.00"
-"Homicide","20 to 24","Oregon","White","--","221,973","--"
-"Homicide","20 to 24","Oregon","Black","--","7,756","--"
-"Homicide","20 to 24","Pennsylvania","White","16**","643,288","2.49"
-"Homicide","20 to 24","Pennsylvania","Black","103","123,305","83.53"
-"Homicide","20 to 24","Rhode Island","White","--","60,888","--"
-"Homicide","20 to 24","Rhode Island","Black","--","8,507","--"
-"Homicide","20 to 24","South Carolina","White","17**","226,532","7.50"
-"Homicide","20 to 24","South Carolina","Black","64","104,775","61.08"
-"Homicide","20 to 24","South Dakota","White","--","50,224","--"
-"Homicide","20 to 24","South Dakota","Black","--","1,926","--"
-"Homicide","20 to 24","Tennessee","White","20**","357,420","5.60"
-"Homicide","20 to 24","Tennessee","Black","77","91,576","84.08"
-"Homicide","20 to 24","Texas","White","84","968,701","8.67"
-"Homicide","20 to 24","Texas","Black","116","222,580","52.12"
-"Homicide","20 to 24","Utah","White","--","265,862","--"
-"Homicide","20 to 24","Utah","Black","--","5,181","--"
-"Homicide","20 to 24","Vermont","White","--","41,427","--"
-"Homicide","20 to 24","Vermont","Black","--","1,168","--"
-"Homicide","20 to 24","Virginia","White","10**","392,248","2.55"
-"Homicide","20 to 24","Virginia","Black","82","127,737","64.19"
-"Homicide","20 to 24","Washington","White","10**","366,738","2.73"
-"Homicide","20 to 24","Washington","Black","10**","28,153","35.52"
-"Homicide","20 to 24","West Virginia","White","--","104,864","--"
-"Homicide","20 to 24","West Virginia","Black","--","5,565","--"
-"Homicide","20 to 24","Wisconsin","White","--","341,260","--"
-"Homicide","20 to 24","Wisconsin","Black","31","32,637","94.98"
-"Homicide","20 to 24","Wyoming","White","--","35,389","--"
-"Homicide","20 to 24","Wyoming","Black","--","755","--"
-"Homicide","25 to 29","Alabama","White","--","208,303","--"
-"Homicide","25 to 29","Alabama","Black","82","97,392","84.20"
-"Homicide","25 to 29","Alaska","White","--","33,722","--"
-"Homicide","25 to 29","Alaska","Black","--","2,657","--"
-"Homicide","25 to 29","Arizona","White","36","398,591","9.03"
-"Homicide","25 to 29","Arizona","Black","--","34,860","--"
-"Homicide","25 to 29","Arkansas","White","10**","146,268","6.84"
-"Homicide","25 to 29","Arkansas","Black","22","35,042","62.78"
-"Homicide","25 to 29","California","White","97","1,308,629","7.41"
-"Homicide","25 to 29","California","Black","60","132,463","45.30"
-"Homicide","25 to 29","Colorado","White","29","374,261","7.75"
-"Homicide","25 to 29","Colorado","Black","10**","24,799","40.32"
-"Homicide","25 to 29","Connecticut","White","--","165,033","--"
-"Homicide","25 to 29","Connecticut","Black","10**","35,425","28.23"
-"Homicide","25 to 29","Delaware","White","--","37,662","--"
-"Homicide","25 to 29","Delaware","Black","--","16,633","--"
-"Homicide","25 to 29","District of Columbia","White","--","39,791","--"
-"Homicide","25 to 29","District of Columbia","Black","12**","23,847","50.32"
-"Homicide","25 to 29","Florida","White","45","680,730","6.61"
-"Homicide","25 to 29","Florida","Black","90","200,273","44.94"
-"Homicide","25 to 29","Georgia","White","17**","406,681","4.18"
-"Homicide","25 to 29","Georgia","Black","129","272,771","47.29"
-"Homicide","25 to 29","Hawaii","White","--","25,925","--"
-"Homicide","25 to 29","Hawaii","Black","--","3,784","--"
-"Homicide","25 to 29","Idaho","White","--","112,805","--"
-"Homicide","25 to 29","Idaho","Black","--","1,814","--"
-"Homicide","25 to 29","Illinois","White","27","605,241","4.46"
-"Homicide","25 to 29","Illinois","Black","164","143,191","114.53"
-"Homicide","25 to 29","Indiana","White","13**","358,013","3.63"
-"Homicide","25 to 29","Indiana","Black","60","55,315","108.47"
-"Homicide","25 to 29","Iowa","White","--","171,023","--"
-"Homicide","25 to 29","Iowa","Black","--","12,446","--"
-"Homicide","25 to 29","Kansas","White","10**","154,576","6.47"
-"Homicide","25 to 29","Kansas","Black","--","14,518","--"
-"Homicide","25 to 29","Kentucky","White","15**","246,636","6.08"
-"Homicide","25 to 29","Kentucky","Black","29","30,715","94.42"
-"Homicide","25 to 29","Louisiana","White","14**","170,334","8.22"
-"Homicide","25 to 29","Louisiana","Black","103","106,944","96.31"
-"Homicide","25 to 29","Maine","White","--","73,679","--"
-"Homicide","25 to 29","Maine","Black","--","2,389","--"
-"Homicide","25 to 29","Maryland","White","--","207,857","--"
-"Homicide","25 to 29","Maryland","Black","87","133,479","65.18"
-"Homicide","25 to 29","Massachusetts","White","11**","363,319","3.03"
-"Homicide","25 to 29","Massachusetts","Black","15**","51,433","29.16"
-"Homicide","25 to 29","Michigan","White","15**","484,438","3.10"
-"Homicide","25 to 29","Michigan","Black","81","108,908","74.37"
-"Homicide","25 to 29","Minnesota","White","--","282,348","--"
-"Homicide","25 to 29","Minnesota","Black","15**","33,390","44.92"
-"Homicide","25 to 29","Mississippi","White","--","100,419","--"
-"Homicide","25 to 29","Mississippi","Black","62","78,243","79.24"
-"Homicide","25 to 29","Missouri","White","18**","314,942","5.72"
-"Homicide","25 to 29","Missouri","Black","46","55,274","83.22"
-"Homicide","25 to 29","Montana","White","--","62,246","--"
-"Homicide","25 to 29","Montana","Black","--","770","--"
-"Homicide","25 to 29","Nebraska","White","--","106,372","--"
-"Homicide","25 to 29","Nebraska","Black","--","8,554","--"
-"Homicide","25 to 29","Nevada","White","16**","152,178","10.51"
-"Homicide","25 to 29","Nevada","Black","--","28,186","--"
-"Homicide","25 to 29","New Hampshire","White","--","78,533","--"
-"Homicide","25 to 29","New Hampshire","Black","--","2,383","--"
-"Homicide","25 to 29","New Jersey","White","13**","389,303","3.34"
-"Homicide","25 to 29","New Jersey","Black","36","104,093","34.58"
-"Homicide","25 to 29","New Mexico","White","21","107,156","19.60"
-"Homicide","25 to 29","New Mexico","Black","--","4,727","--"
-"Homicide","25 to 29","New York","White","27","887,577","3.04"
-"Homicide","25 to 29","New York","Black","73","261,092","27.96"
-"Homicide","25 to 29","North Carolina","White","21","468,805","4.48"
-"Homicide","25 to 29","North Carolina","Black","93","173,348","53.65"
-"Homicide","25 to 29","North Dakota","White","--","44,860","--"
-"Homicide","25 to 29","North Dakota","Black","--","2,797","--"
-"Homicide","25 to 29","Ohio","White","19**","586,432","3.24"
-"Homicide","25 to 29","Ohio","Black","91","119,059","76.43"
-"Homicide","25 to 29","Oklahoma","White","--","183,119","--"
-"Homicide","25 to 29","Oklahoma","Black","12**","25,642","46.80"
-"Homicide","25 to 29","Oregon","White","14**","232,336","6.03"
-"Homicide","25 to 29","Oregon","Black","--","8,915","--"
-"Homicide","25 to 29","Pennsylvania","White","12**","615,684","1.95"
-"Homicide","25 to 29","Pennsylvania","Black","107","122,841","87.10"
-"Homicide","25 to 29","Rhode Island","White","--","57,055","--"
-"Homicide","25 to 29","Rhode Island","Black","--","8,130","--"
-"Homicide","25 to 29","South Carolina","White","10**","213,793","4.68"
-"Homicide","25 to 29","South Carolina","Black","58","95,617","60.66"
-"Homicide","25 to 29","South Dakota","White","--","45,508","--"
-"Homicide","25 to 29","South Dakota","Black","--","1,969","--"
-"Homicide","25 to 29","Tennessee","White","--","363,007","--"
-"Homicide","25 to 29","Tennessee","Black","70","93,553","74.82"
-"Homicide","25 to 29","Texas","White","108","997,897","10.82"
-"Homicide","25 to 29","Texas","Black","122","247,990","49.20"
-"Homicide","25 to 29","Utah","White","--","226,852","--"
-"Homicide","25 to 29","Utah","Black","--","5,355","--"
-"Homicide","25 to 29","Vermont","White","--","34,440","--"
-"Homicide","25 to 29","Vermont","Black","--","895","--"
-"Homicide","25 to 29","Virginia","White","14**","377,098","3.71"
-"Homicide","25 to 29","Virginia","Black","70","126,319","55.42"
-"Homicide","25 to 29","Washington","White","14**","401,822","3.48"
-"Homicide","25 to 29","Washington","Black","13**","30,976","41.97"
-"Homicide","25 to 29","West Virginia","White","--","95,321","--"
-"Homicide","25 to 29","West Virginia","Black","--","5,141","--"
-"Homicide","25 to 29","Wisconsin","White","--","301,974","--"
-"Homicide","25 to 29","Wisconsin","Black","30","32,272","92.96"
-"Homicide","25 to 29","Wyoming","White","--","31,459","--"
-"Homicide","25 to 29","Wyoming","Black","--","573","--"
-"Homicide","30 to 34","Alabama","White","21","221,016","9.50"
-"Homicide","30 to 34","Alabama","Black","62","101,298","61.21"
-"Homicide","30 to 34","Alaska","White","--","37,587","--"
-"Homicide","30 to 34","Alaska","Black","--","2,605","--"
-"Homicide","30 to 34","Arizona","White","41","400,296","10.24"
-"Homicide","30 to 34","Arizona","Black","14**","36,454","38.40"
-"Homicide","30 to 34","Arkansas","White","10**","154,054","6.49"
-"Homicide","30 to 34","Arkansas","Black","22","34,888","63.06"
-"Homicide","30 to 34","California","White","117","1,394,002","8.39"
-"Homicide","30 to 34","California","Black","66","147,840","44.64"
-"Homicide","30 to 34","Colorado","White","32","399,639","8.01"
-"Homicide","30 to 34","Colorado","Black","10**","26,098","38.32"
-"Homicide","30 to 34","Connecticut","White","10**","167,654","5.96"
-"Homicide","30 to 34","Connecticut","Black","--","37,599","--"
-"Homicide","30 to 34","Delaware","White","--","43,963","--"
-"Homicide","30 to 34","Delaware","Black","--","17,454","--"
-"Homicide","30 to 34","District of Columbia","White","--","40,917","--"
-"Homicide","30 to 34","District of Columbia","Black","24","26,733","89.78"
-"Homicide","30 to 34","Florida","White","33","754,132","4.38"
-"Homicide","30 to 34","Florida","Black","76","217,922","34.87"
-"Homicide","30 to 34","Georgia","White","12**","421,111","2.85"
-"Homicide","30 to 34","Georgia","Black","121","284,269","42.57"
-"Homicide","30 to 34","Hawaii","White","--","27,147","--"
-"Homicide","30 to 34","Hawaii","Black","--","3,551","--"
-"Homicide","30 to 34","Idaho","White","--","115,796","--"
-"Homicide","30 to 34","Idaho","Black","--","1,751","--"
-"Homicide","30 to 34","Illinois","White","38","624,807","6.08"
-"Homicide","30 to 34","Illinois","Black","150","144,191","104.03"
-"Homicide","30 to 34","Indiana","White","31","367,915","8.43"
-"Homicide","30 to 34","Indiana","Black","35","56,145","62.34"
-"Homicide","30 to 34","Iowa","White","--","171,785","--"
-"Homicide","30 to 34","Iowa","Black","--","12,583","--"
-"Homicide","30 to 34","Kansas","White","12**","155,929","7.70"
-"Homicide","30 to 34","Kansas","Black","--","14,363","--"
-"Homicide","30 to 34","Kentucky","White","19**","255,261","7.44"
-"Homicide","30 to 34","Kentucky","Black","25","30,638","81.60"
-"Homicide","30 to 34","Louisiana","White","13**","191,021","6.81"
-"Homicide","30 to 34","Louisiana","Black","74","110,877","66.74"
-"Homicide","30 to 34","Maine","White","--","81,521","--"
-"Homicide","30 to 34","Maine","Black","--","2,306","--"
-"Homicide","30 to 34","Maryland","White","10**","229,640","4.35"
-"Homicide","30 to 34","Maryland","Black","72","147,207","48.91"
-"Homicide","30 to 34","Massachusetts","White","--","370,231","--"
-"Homicide","30 to 34","Massachusetts","Black","15**","53,899","27.83"
-"Homicide","30 to 34","Michigan","White","24","499,593","4.80"
-"Homicide","30 to 34","Michigan","Black","87","115,573","75.28"
-"Homicide","30 to 34","Minnesota","White","--","294,177","--"
-"Homicide","30 to 34","Minnesota","Black","16**","36,830","43.44"
-"Homicide","30 to 34","Mississippi","White","14**","106,229","13.18"
-"Homicide","30 to 34","Mississippi","Black","42","78,329","53.62"
-"Homicide","30 to 34","Missouri","White","17**","329,572","5.16"
-"Homicide","30 to 34","Missouri","Black","67","57,677","116.16"
-"Homicide","30 to 34","Montana","White","--","64,718","--"
-"Homicide","30 to 34","Montana","Black","--","725","--"
-"Homicide","30 to 34","Nebraska","White","--","106,113","--"
-"Homicide","30 to 34","Nebraska","Black","--","8,612","--"
-"Homicide","30 to 34","Nevada","White","--","164,879","--"
-"Homicide","30 to 34","Nevada","Black","16**","31,678","50.51"
-"Homicide","30 to 34","New Hampshire","White","--","83,513","--"
-"Homicide","30 to 34","New Hampshire","Black","--","2,547","--"
-"Homicide","30 to 34","New Jersey","White","--","404,148","--"
-"Homicide","30 to 34","New Jersey","Black","35","111,781","31.31"
-"Homicide","30 to 34","New Mexico","White","30","110,168","27.23"
-"Homicide","30 to 34","New Mexico","Black","--","4,918","--"
-"Homicide","30 to 34","New York","White","16**","916,555","1.75"
-"Homicide","30 to 34","New York","Black","76","280,002","27.14"
-"Homicide","30 to 34","North Carolina","White","25","489,469","5.11"
-"Homicide","30 to 34","North Carolina","Black","84","180,918","46.43"
-"Homicide","30 to 34","North Dakota","White","--","46,292","--"
-"Homicide","30 to 34","North Dakota","Black","--","3,208","--"
-"Homicide","30 to 34","Ohio","White","36","614,360","5.86"
-"Homicide","30 to 34","Ohio","Black","78","123,992","62.91"
-"Homicide","30 to 34","Oklahoma","White","17**","195,595","8.69"
-"Homicide","30 to 34","Oklahoma","Black","10**","25,714","38.89"
-"Homicide","30 to 34","Oregon","White","14**","258,032","5.43"
-"Homicide","30 to 34","Oregon","Black","--","9,689","--"
-"Homicide","30 to 34","Pennsylvania","White","17**","671,746","2.53"
-"Homicide","30 to 34","Pennsylvania","Black","119","131,867","90.24"
-"Homicide","30 to 34","Rhode Island","White","--","62,877","--"
-"Homicide","30 to 34","Rhode Island","Black","--","8,564","--"
-"Homicide","30 to 34","South Carolina","White","19**","232,397","8.18"
-"Homicide","30 to 34","South Carolina","Black","56","103,145","54.29"
-"Homicide","30 to 34","South Dakota","White","--","46,551","--"
-"Homicide","30 to 34","South Dakota","Black","--","2,350","--"
-"Homicide","30 to 34","Tennessee","White","29","373,704","7.76"
-"Homicide","30 to 34","Tennessee","Black","63","95,251","66.14"
-"Homicide","30 to 34","Texas","White","99","1,022,242","9.68"
-"Homicide","30 to 34","Texas","Black","84","260,691","32.22"
-"Homicide","30 to 34","Utah","White","--","211,442","--"
-"Homicide","30 to 34","Utah","Black","--","5,406","--"
-"Homicide","30 to 34","Vermont","White","--","36,896","--"
-"Homicide","30 to 34","Vermont","Black","--","874","--"
-"Homicide","30 to 34","Virginia","White","14**","392,756","3.56"
-"Homicide","30 to 34","Virginia","Black","69","133,142","51.82"
-"Homicide","30 to 34","Washington","White","33","447,401","7.38"
-"Homicide","30 to 34","Washington","Black","11**","33,773","32.57"
-"Homicide","30 to 34","West Virginia","White","--","99,132","--"
-"Homicide","30 to 34","West Virginia","Black","--","5,323","--"
-"Homicide","30 to 34","Wisconsin","White","10**","301,697","3.31"
-"Homicide","30 to 34","Wisconsin","Black","34","32,048","106.09"
-"Homicide","30 to 34","Wyoming","White","--","34,581","--"
-"Homicide","30 to 34","Wyoming","Black","--","662","--"
-"Homicide","35 to 39","Alabama","White","14**","210,362","6.66"
-"Homicide","35 to 39","Alabama","Black","48","87,181","55.06"
-"Homicide","35 to 39","Alaska","White","--","37,109","--"
-"Homicide","35 to 39","Alaska","Black","--","2,130","--"
-"Homicide","35 to 39","Arizona","White","41","374,400","10.95"
-"Homicide","35 to 39","Arizona","Black","10**","31,202","32.05"
-"Homicide","35 to 39","Arkansas","White","11**","148,742","7.40"
-"Homicide","35 to 39","Arkansas","Black","16**","30,615","52.26"
-"Homicide","35 to 39","California","White","89","1,293,685","6.88"
-"Homicide","35 to 39","California","Black","45","122,343","36.78"
-"Homicide","35 to 39","Colorado","White","42","379,513","11.07"
-"Homicide","35 to 39","Colorado","Black","11**","22,296","49.34"
-"Homicide","35 to 39","Connecticut","White","--","176,238","--"
-"Homicide","35 to 39","Connecticut","Black","--","33,636","--"
-"Homicide","35 to 39","Delaware","White","--","41,456","--"
-"Homicide","35 to 39","Delaware","Black","--","15,689","--"
-"Homicide","35 to 39","District of Columbia","White","--","35,137","--"
-"Homicide","35 to 39","District of Columbia","Black","13**","21,155","61.45"
-"Homicide","35 to 39","Florida","White","37","749,761","4.93"
-"Homicide","35 to 39","Florida","Black","57","194,011","29.38"
-"Homicide","35 to 39","Georgia","White","18**","413,541","4.35"
-"Homicide","35 to 39","Georgia","Black","78","249,434","31.27"
-"Homicide","35 to 39","Hawaii","White","--","28,516","--"
-"Homicide","35 to 39","Hawaii","Black","--","2,993","--"
-"Homicide","35 to 39","Idaho","White","--","116,759","--"
-"Homicide","35 to 39","Idaho","Black","--","1,334","--"
-"Homicide","35 to 39","Illinois","White","30","634,453","4.73"
-"Homicide","35 to 39","Illinois","Black","97","119,091","81.45"
-"Homicide","35 to 39","Indiana","White","15**","356,673","4.21"
-"Homicide","35 to 39","Indiana","Black","30","47,642","62.97"
-"Homicide","35 to 39","Iowa","White","--","177,126","--"
-"Homicide","35 to 39","Iowa","Black","--","10,766","--"
-"Homicide","35 to 39","Kansas","White","--","162,654","--"
-"Homicide","35 to 39","Kansas","Black","--","12,660","--"
-"Homicide","35 to 39","Kentucky","White","23","240,004","9.58"
-"Homicide","35 to 39","Kentucky","Black","14**","25,285","55.37"
-"Homicide","35 to 39","Louisiana","White","26","192,808","13.48"
-"Homicide","35 to 39","Louisiana","Black","58","101,540","57.12"
-"Homicide","35 to 39","Maine","White","--","80,230","--"
-"Homicide","35 to 39","Maine","Black","--","2,114","--"
-"Homicide","35 to 39","Maryland","White","11**","240,651","4.57"
-"Homicide","35 to 39","Maryland","Black","46","136,369","33.73"
-"Homicide","35 to 39","Massachusetts","White","11**","360,258","3.05"
-"Homicide","35 to 39","Massachusetts","Black","--","48,015","--"
-"Homicide","35 to 39","Michigan","White","25","477,516","5.24"
-"Homicide","35 to 39","Michigan","Black","47","84,922","55.34"
-"Homicide","35 to 39","Minnesota","White","--","315,090","--"
-"Homicide","35 to 39","Minnesota","Black","--","35,488","--"
-"Homicide","35 to 39","Mississippi","White","13**","103,453","12.57"
-"Homicide","35 to 39","Mississippi","Black","40","70,314","56.89"
-"Homicide","35 to 39","Missouri","White","21","330,128","6.36"
-"Homicide","35 to 39","Missouri","Black","48","47,281","101.52"
-"Homicide","35 to 39","Montana","White","--","64,718","--"
-"Homicide","35 to 39","Montana","Black","--","517","--"
-"Homicide","35 to 39","Nebraska","White","--","113,460","--"
-"Homicide","35 to 39","Nebraska","Black","--","7,344","--"
-"Homicide","35 to 39","Nevada","White","--","159,735","--"
-"Homicide","35 to 39","Nevada","Black","--","25,614","--"
-"Homicide","35 to 39","New Hampshire","White","--","80,710","--"
-"Homicide","35 to 39","New Hampshire","Black","--","2,184","--"
-"Homicide","35 to 39","New Jersey","White","12**","412,694","2.91"
-"Homicide","35 to 39","New Jersey","Black","20**","98,614","20.28"
-"Homicide","35 to 39","New Mexico","White","21","111,233","18.88"
-"Homicide","35 to 39","New Mexico","Black","--","4,248","--"
-"Homicide","35 to 39","New York","White","25","878,009","2.85"
-"Homicide","35 to 39","New York","Black","56","235,830","23.75"
-"Homicide","35 to 39","North Carolina","White","28","466,483","6.00"
-"Homicide","35 to 39","North Carolina","Black","51","153,597","33.20"
-"Homicide","35 to 39","North Dakota","White","--","45,397","--"
-"Homicide","35 to 39","North Dakota","Black","--","2,707","--"
-"Homicide","35 to 39","Ohio","White","26","591,610","4.39"
-"Homicide","35 to 39","Ohio","Black","49","101,353","48.35"
-"Homicide","35 to 39","Oklahoma","White","11**","197,004","5.58"
-"Homicide","35 to 39","Oklahoma","Black","11**","21,974","50.06"
-"Homicide","35 to 39","Oregon","White","14**","253,916","5.51"
-"Homicide","35 to 39","Oregon","Black","--","8,196","--"
-"Homicide","35 to 39","Pennsylvania","White","22","661,011","3.33"
-"Homicide","35 to 39","Pennsylvania","Black","78","106,037","73.56"
-"Homicide","35 to 39","Rhode Island","White","--","57,478","--"
-"Homicide","35 to 39","Rhode Island","Black","--","7,057","--"
-"Homicide","35 to 39","South Carolina","White","--","223,851","--"
-"Homicide","35 to 39","South Carolina","Black","34","88,168","38.56"
-"Homicide","35 to 39","South Dakota","White","--","48,643","--"
-"Homicide","35 to 39","South Dakota","Black","--","2,389","--"
-"Homicide","35 to 39","Tennessee","White","23","349,232","6.59"
-"Homicide","35 to 39","Tennessee","Black","35","77,639","45.08"
-"Homicide","35 to 39","Texas","White","78","1,006,051","7.75"
-"Homicide","35 to 39","Texas","Black","69","231,449","29.81"
-"Homicide","35 to 39","Utah","White","--","203,249","--"
-"Homicide","35 to 39","Utah","Black","--","3,902","--"
-"Homicide","35 to 39","Vermont","White","--","37,412","--"
-"Homicide","35 to 39","Vermont","Black","--","770","--"
-"Homicide","35 to 39","Virginia","White","23","399,910","5.75"
-"Homicide","35 to 39","Virginia","Black","41","120,537","34.01"
-"Homicide","35 to 39","Washington","White","17**","430,046","3.95"
-"Homicide","35 to 39","Washington","Black","--","30,986","--"
-"Homicide","35 to 39","West Virginia","White","--","93,540","--"
-"Homicide","35 to 39","West Virginia","Black","--","4,615","--"
-"Homicide","35 to 39","Wisconsin","White","--","318,452","--"
-"Homicide","35 to 39","Wisconsin","Black","20**","25,926","77.14"
-"Homicide","35 to 39","Wyoming","White","--","36,601","--"
-"Homicide","35 to 39","Wyoming","Black","--","554","--"
-"Homicide","40 to 44","Alabama","White","20**","210,772","9.49"
-"Homicide","40 to 44","Alabama","Black","41","86,946","47.16"
-"Homicide","40 to 44","Alaska","White","--","32,773","--"
-"Homicide","40 to 44","Alaska","Black","--","1,791","--"
-"Homicide","40 to 44","Arizona","White","40","365,823","10.93"
-"Homicide","40 to 44","Arizona","Black","14**","27,909","50.16"
-"Homicide","40 to 44","Arkansas","White","10**","150,009","6.67"
-"Homicide","40 to 44","Arkansas","Black","13**","29,998","43.34"
-"Homicide","40 to 44","California","White","74","1,213,797","6.10"
-"Homicide","40 to 44","California","Black","31","109,494","28.31"
-"Homicide","40 to 44","Colorado","White","21","349,810","6.00"
-"Homicide","40 to 44","Colorado","Black","--","19,637","--"
-"Homicide","40 to 44","Connecticut","White","--","170,549","--"
-"Homicide","40 to 44","Connecticut","Black","--","32,361","--"
-"Homicide","40 to 44","Delaware","White","--","39,338","--"
-"Homicide","40 to 44","Delaware","Black","--","15,322","--"
-"Homicide","40 to 44","District of Columbia","White","--","25,106","--"
-"Homicide","40 to 44","District of Columbia","Black","10**","18,856","53.03"
-"Homicide","40 to 44","Florida","White","28","740,765","3.78"
-"Homicide","40 to 44","Florida","Black","27","182,808","14.77"
-"Homicide","40 to 44","Georgia","White","23","410,462","5.60"
-"Homicide","40 to 44","Georgia","Black","65","246,676","26.35"
-"Homicide","40 to 44","Hawaii","White","--","25,021","--"
-"Homicide","40 to 44","Hawaii","Black","--","2,302","--"
-"Homicide","40 to 44","Idaho","White","--","117,558","--"
-"Homicide","40 to 44","Idaho","Black","--","1,230","--"
-"Homicide","40 to 44","Illinois","White","36","628,418","5.73"
-"Homicide","40 to 44","Illinois","Black","60","115,636","51.89"
-"Homicide","40 to 44","Indiana","White","10**","360,585","2.77"
-"Homicide","40 to 44","Indiana","Black","23","45,374","50.69"
-"Homicide","40 to 44","Iowa","White","--","181,479","--"
-"Homicide","40 to 44","Iowa","Black","--","9,638","--"
-"Homicide","40 to 44","Kansas","White","14**","160,215","8.74"
-"Homicide","40 to 44","Kansas","Black","--","11,778","--"
-"Homicide","40 to 44","Kentucky","White","18**","247,881","7.26"
-"Homicide","40 to 44","Kentucky","Black","23","25,210","91.23"
-"Homicide","40 to 44","Louisiana","White","14**","187,793","7.46"
-"Homicide","40 to 44","Louisiana","Black","49","95,351","51.39"
-"Homicide","40 to 44","Maine","White","--","77,317","--"
-"Homicide","40 to 44","Maine","Black","--","1,777","--"
-"Homicide","40 to 44","Maryland","White","--","228,824","--"
-"Homicide","40 to 44","Maryland","Black","47","131,178","35.83"
-"Homicide","40 to 44","Massachusetts","White","--","334,743","--"
-"Homicide","40 to 44","Massachusetts","Black","--","43,772","--"
-"Homicide","40 to 44","Michigan","White","12**","477,344","2.51"
-"Homicide","40 to 44","Michigan","Black","51","81,842","62.32"
-"Homicide","40 to 44","Minnesota","White","10**","313,110","3.19"
-"Homicide","40 to 44","Minnesota","Black","--","30,082","--"
-"Homicide","40 to 44","Mississippi","White","--","105,833","--"
-"Homicide","40 to 44","Mississippi","Black","43","72,580","59.25"
-"Homicide","40 to 44","Missouri","White","24","323,601","7.42"
-"Homicide","40 to 44","Missouri","Black","31","44,866","69.09"
-"Homicide","40 to 44","Montana","White","--","64,191","--"
-"Homicide","40 to 44","Montana","Black","--","474","--"
-"Homicide","40 to 44","Nebraska","White","--","111,287","--"
-"Homicide","40 to 44","Nebraska","Black","--","7,212","--"
-"Homicide","40 to 44","Nevada","White","14**","152,947","9.15"
-"Homicide","40 to 44","Nevada","Black","--","22,933","--"
-"Homicide","40 to 44","New Hampshire","White","--","76,091","--"
-"Homicide","40 to 44","New Hampshire","Black","--","1,918","--"
-"Homicide","40 to 44","New Jersey","White","--","409,443","--"
-"Homicide","40 to 44","New Jersey","Black","--","95,898","--"
-"Homicide","40 to 44","New Mexico","White","15**","105,938","14.16"
-"Homicide","40 to 44","New Mexico","Black","--","3,661","--"
-"Homicide","40 to 44","New York","White","11**","822,923","1.34"
-"Homicide","40 to 44","New York","Black","43","221,353","19.43"
-"Homicide","40 to 44","North Carolina","White","21","462,870","4.54"
-"Homicide","40 to 44","North Carolina","Black","34","149,385","22.76"
-"Homicide","40 to 44","North Dakota","White","--","41,690","--"
-"Homicide","40 to 44","North Dakota","Black","--","2,026","--"
-"Homicide","40 to 44","Ohio","White","25","587,119","4.26"
-"Homicide","40 to 44","Ohio","Black","54","95,008","56.84"
-"Homicide","40 to 44","Oklahoma","White","10**","191,885","5.21"
-"Homicide","40 to 44","Oklahoma","Black","--","20,539","--"
-"Homicide","40 to 44","Oregon","White","17**","250,165","6.80"
-"Homicide","40 to 44","Oregon","Black","--","7,403","--"
-"Homicide","40 to 44","Pennsylvania","White","15**","628,906","2.39"
-"Homicide","40 to 44","Pennsylvania","Black","39","96,925","40.24"
-"Homicide","40 to 44","Rhode Island","White","--","54,343","--"
-"Homicide","40 to 44","Rhode Island","Black","--","6,762","--"
-"Homicide","40 to 44","South Carolina","White","--","220,831","--"
-"Homicide","40 to 44","South Carolina","Black","25","86,318","28.96"
-"Homicide","40 to 44","South Dakota","White","--","48,134","--"
-"Homicide","40 to 44","South Dakota","Black","--","1,724","--"
-"Homicide","40 to 44","Tennessee","White","31","346,131","8.96"
-"Homicide","40 to 44","Tennessee","Black","36","75,108","47.93"
-"Homicide","40 to 44","Texas","White","59","954,951","6.18"
-"Homicide","40 to 44","Texas","Black","51","217,541","23.44"
-"Homicide","40 to 44","Utah","White","--","215,984","--"
-"Homicide","40 to 44","Utah","Black","--","3,430","--"
-"Homicide","40 to 44","Vermont","White","--","36,638","--"
-"Homicide","40 to 44","Vermont","Black","--","700","--"
-"Homicide","40 to 44","Virginia","White","16**","386,386","4.14"
-"Homicide","40 to 44","Virginia","Black","31","114,657","27.04"
-"Homicide","40 to 44","Washington","White","20**","403,069","4.96"
-"Homicide","40 to 44","Washington","Black","--","27,082","--"
-"Homicide","40 to 44","West Virginia","White","--","102,094","--"
-"Homicide","40 to 44","West Virginia","Black","--","4,386","--"
-"Homicide","40 to 44","Wisconsin","White","--","322,977","--"
-"Homicide","40 to 44","Wisconsin","Black","27","24,109","111.99"
-"Homicide","40 to 44","Wyoming","White","--","35,587","--"
-"Homicide","40 to 44","Wyoming","Black","--","493","--"
-"Homicide","45 to 49","Alabama","White","25","205,824","12.15"
-"Homicide","45 to 49","Alabama","Black","26","78,627","33.07"
-"Homicide","45 to 49","Alaska","White","--","27,719","--"
-"Homicide","45 to 49","Alaska","Black","--","1,523","--"
-"Homicide","45 to 49","Arizona","White","25","341,505","7.32"
-"Homicide","45 to 49","Arizona","Black","--","24,017","--"
-"Homicide","45 to 49","Arkansas","White","10**","140,195","7.13"
-"Homicide","45 to 49","Arkansas","Black","--","26,568","--"
-"Homicide","45 to 49","California","White","55","1,126,310","4.88"
-"Homicide","45 to 49","California","Black","31","97,851","31.68"
-"Homicide","45 to 49","Colorado","White","16**","306,377","5.22"
-"Homicide","45 to 49","Colorado","Black","--","16,599","--"
-"Homicide","45 to 49","Connecticut","White","--","161,801","--"
-"Homicide","45 to 49","Connecticut","Black","--","28,866","--"
-"Homicide","45 to 49","Delaware","White","--","35,667","--"
-"Homicide","45 to 49","Delaware","Black","--","13,675","--"
-"Homicide","45 to 49","District of Columbia","White","--","17,467","--"
-"Homicide","45 to 49","District of Columbia","Black","--","15,755","--"
-"Homicide","45 to 49","Florida","White","27","725,702","3.72"
-"Homicide","45 to 49","Florida","Black","28","167,035","16.76"
-"Homicide","45 to 49","Georgia","White","17**","397,207","4.28"
-"Homicide","45 to 49","Georgia","Black","35","224,111","15.62"
-"Homicide","45 to 49","Hawaii","White","--","20,011","--"
-"Homicide","45 to 49","Hawaii","Black","--","1,725","--"
-"Homicide","45 to 49","Idaho","White","--","102,986","--"
-"Homicide","45 to 49","Idaho","Black","--","909","--"
-"Homicide","45 to 49","Illinois","White","18**","580,246","3.10"
-"Homicide","45 to 49","Illinois","Black","40","106,348","37.61"
-"Homicide","45 to 49","Indiana","White","--","336,070","--"
-"Homicide","45 to 49","Indiana","Black","14**","40,054","34.95"
-"Homicide","45 to 49","Iowa","White","--","158,770","--"
-"Homicide","45 to 49","Iowa","Black","--","7,406","--"
-"Homicide","45 to 49","Kansas","White","--","140,055","--"
-"Homicide","45 to 49","Kansas","Black","--","10,062","--"
-"Homicide","45 to 49","Kentucky","White","12**","236,454","5.08"
-"Homicide","45 to 49","Kentucky","Black","11**","22,033","49.93"
-"Homicide","45 to 49","Louisiana","White","11**","165,238","6.66"
-"Homicide","45 to 49","Louisiana","Black","35","80,175","43.65"
-"Homicide","45 to 49","Maine","White","--","73,170","--"
-"Homicide","45 to 49","Maine","Black","--","1,469","--"
-"Homicide","45 to 49","Maryland","White","--","203,756","--"
-"Homicide","45 to 49","Maryland","Black","16**","119,111","13.43"
-"Homicide","45 to 49","Massachusetts","White","--","315,354","--"
-"Homicide","45 to 49","Massachusetts","Black","--","39,510","--"
-"Homicide","45 to 49","Michigan","White","15**","442,585","3.39"
-"Homicide","45 to 49","Michigan","Black","34","81,299","41.82"
-"Homicide","45 to 49","Minnesota","White","--","266,857","--"
-"Homicide","45 to 49","Minnesota","Black","--","24,278","--"
-"Homicide","45 to 49","Mississippi","White","--","100,857","--"
-"Homicide","45 to 49","Mississippi","Black","16**","64,611","24.76"
-"Homicide","45 to 49","Missouri","White","19**","288,437","6.59"
-"Homicide","45 to 49","Missouri","Black","19**","39,558","48.03"
-"Homicide","45 to 49","Montana","White","--","55,056","--"
-"Homicide","45 to 49","Montana","Black","--","351","--"
-"Homicide","45 to 49","Nebraska","White","--","96,335","--"
-"Homicide","45 to 49","Nebraska","Black","--","5,653","--"
-"Homicide","45 to 49","Nevada","White","12**","140,638","8.53"
-"Homicide","45 to 49","Nevada","Black","--","19,679","--"
-"Homicide","45 to 49","New Hampshire","White","--","71,477","--"
-"Homicide","45 to 49","New Hampshire","Black","--","1,994","--"
-"Homicide","45 to 49","New Jersey","White","--","391,916","--"
-"Homicide","45 to 49","New Jersey","Black","10**","89,125","11.22"
-"Homicide","45 to 49","New Mexico","White","21","94,307","22.27"
-"Homicide","45 to 49","New Mexico","Black","--","3,320","--"
-"Homicide","45 to 49","New York","White","16**","768,635","2.08"
-"Homicide","45 to 49","New York","Black","26","206,239","12.61"
-"Homicide","45 to 49","North Carolina","White","27","452,835","5.96"
-"Homicide","45 to 49","North Carolina","Black","26","141,431","18.38"
-"Homicide","45 to 49","North Dakota","White","--","34,233","--"
-"Homicide","45 to 49","North Dakota","Black","--","1,345","--"
-"Homicide","45 to 49","Ohio","White","23","546,108","4.21"
-"Homicide","45 to 49","Ohio","Black","27","84,086","32.11"
-"Homicide","45 to 49","Oklahoma","White","12**","170,901","7.02"
-"Homicide","45 to 49","Oklahoma","Black","--","17,298","--"
-"Homicide","45 to 49","Oregon","White","11**","222,212","4.95"
-"Homicide","45 to 49","Oregon","Black","--","6,117","--"
-"Homicide","45 to 49","Pennsylvania","White","19**","584,822","3.25"
-"Homicide","45 to 49","Pennsylvania","Black","25","84,961","29.43"
-"Homicide","45 to 49","Rhode Island","White","--","50,181","--"
-"Homicide","45 to 49","Rhode Island","Black","--","5,682","--"
-"Homicide","45 to 49","South Carolina","White","12**","211,211","5.68"
-"Homicide","45 to 49","South Carolina","Black","24","78,354","30.63"
-"Homicide","45 to 49","South Dakota","White","--","41,160","--"
-"Homicide","45 to 49","South Dakota","Black","--","1,125","--"
-"Homicide","45 to 49","Tennessee","White","21","331,755","6.33"
-"Homicide","45 to 49","Tennessee","Black","22","67,405","32.64"
-"Homicide","45 to 49","Texas","White","61","874,019","6.98"
-"Homicide","45 to 49","Texas","Black","36","187,580","19.19"
-"Homicide","45 to 49","Utah","White","--","181,177","--"
-"Homicide","45 to 49","Utah","Black","--","2,714","--"
-"Homicide","45 to 49","Vermont","White","--","33,622","--"
-"Homicide","45 to 49","Vermont","Black","--","557","--"
-"Homicide","45 to 49","Virginia","White","10**","354,190","2.82"
-"Homicide","45 to 49","Virginia","Black","15**","100,195","14.97"
-"Homicide","45 to 49","Washington","White","11**","352,332","3.12"
-"Homicide","45 to 49","Washington","Black","--","21,870","--"
-"Homicide","45 to 49","West Virginia","White","10**","100,664","9.93"
-"Homicide","45 to 49","West Virginia","Black","--","3,771","--"
-"Homicide","45 to 49","Wisconsin","White","--","289,875","--"
-"Homicide","45 to 49","Wisconsin","Black","--","20,518","--"
-"Homicide","45 to 49","Wyoming","White","--","30,461","--"
-"Homicide","45 to 49","Wyoming","Black","--","385","--"
-"Homicide","50 to 54","Alabama","White","15**","230,160","6.52"
-"Homicide","50 to 54","Alabama","Black","10**","79,545","12.57"
-"Homicide","50 to 54","Alaska","White","--","29,697","--"
-"Homicide","50 to 54","Alaska","Black","--","1,458","--"
-"Homicide","50 to 54","Arizona","White","19**","362,586","5.24"
-"Homicide","50 to 54","Arizona","Black","10**","22,930","43.61"
-"Homicide","50 to 54","Arkansas","White","--","149,736","--"
-"Homicide","50 to 54","Arkansas","Black","10**","25,758","38.82"
-"Homicide","50 to 54","California","White","36","1,196,778","3.01"
-"Homicide","50 to 54","California","Black","17**","104,593","16.25"
-"Homicide","50 to 54","Colorado","White","20**","313,108","6.39"
-"Homicide","50 to 54","Colorado","Black","--","15,986","--"
-"Homicide","50 to 54","Connecticut","White","--","193,941","--"
-"Homicide","50 to 54","Connecticut","Black","--","29,910","--"
-"Homicide","50 to 54","Delaware","White","--","42,249","--"
-"Homicide","50 to 54","Delaware","Black","--","15,385","--"
-"Homicide","50 to 54","District of Columbia","White","--","15,556","--"
-"Homicide","50 to 54","District of Columbia","Black","--","16,853","--"
-"Homicide","50 to 54","Florida","White","30","797,159","3.76"
-"Homicide","50 to 54","Florida","Black","21","163,423","12.85"
-"Homicide","50 to 54","Georgia","White","16**","440,630","3.63"
-"Homicide","50 to 54","Georgia","Black","34","228,504","14.88"
-"Homicide","50 to 54","Hawaii","White","--","20,450","--"
-"Homicide","50 to 54","Hawaii","Black","--","1,610","--"
-"Homicide","50 to 54","Idaho","White","--","102,571","--"
-"Homicide","50 to 54","Idaho","Black","--","811","--"
-"Homicide","50 to 54","Illinois","White","11**","618,434","1.78"
-"Homicide","50 to 54","Illinois","Black","15**","112,423","13.34"
-"Homicide","50 to 54","Indiana","White","16**","363,088","4.41"
-"Homicide","50 to 54","Indiana","Black","--","39,279","--"
-"Homicide","50 to 54","Iowa","White","--","170,256","--"
-"Homicide","50 to 54","Iowa","Black","--","6,451","--"
-"Homicide","50 to 54","Kansas","White","--","145,023","--"
-"Homicide","50 to 54","Kansas","Black","--","9,442","--"
-"Homicide","50 to 54","Kentucky","White","13**","255,821","5.08"
-"Homicide","50 to 54","Kentucky","Black","10**","22,112","45.22"
-"Homicide","50 to 54","Louisiana","White","--","178,722","--"
-"Homicide","50 to 54","Louisiana","Black","23","79,954","28.77"
-"Homicide","50 to 54","Maine","White","--","86,303","--"
-"Homicide","50 to 54","Maine","Black","--","1,313","--"
-"Homicide","50 to 54","Maryland","White","--","230,643","--"
-"Homicide","50 to 54","Maryland","Black","16**","132,217","12.10"
-"Homicide","50 to 54","Massachusetts","White","--","370,307","--"
-"Homicide","50 to 54","Massachusetts","Black","--","38,906","--"
-"Homicide","50 to 54","Michigan","White","15**","511,545","2.93"
-"Homicide","50 to 54","Michigan","Black","35","88,964","39.34"
-"Homicide","50 to 54","Minnesota","White","--","293,405","--"
-"Homicide","50 to 54","Minnesota","Black","--","21,647","--"
-"Homicide","50 to 54","Mississippi","White","--","111,490","--"
-"Homicide","50 to 54","Mississippi","Black","13**","64,850","20.05"
-"Homicide","50 to 54","Missouri","White","23","312,767","7.35"
-"Homicide","50 to 54","Missouri","Black","18**","40,921","43.99"
-"Homicide","50 to 54","Montana","White","--","56,998","--"
-"Homicide","50 to 54","Montana","Black","--","302","--"
-"Homicide","50 to 54","Nebraska","White","--","98,455","--"
-"Homicide","50 to 54","Nebraska","Black","--","5,237","--"
-"Homicide","50 to 54","Nevada","White","--","152,480","--"
-"Homicide","50 to 54","Nevada","Black","--","19,693","--"
-"Homicide","50 to 54","New Hampshire","White","--","88,442","--"
-"Homicide","50 to 54","New Hampshire","Black","--","1,787","--"
-"Homicide","50 to 54","New Jersey","White","--","445,025","--"
-"Homicide","50 to 54","New Jersey","Black","--","94,105","--"
-"Homicide","50 to 54","New Mexico","White","10**","98,596","10.14"
-"Homicide","50 to 54","New Mexico","Black","--","2,885","--"
-"Homicide","50 to 54","New York","White","14**","875,135","1.60"
-"Homicide","50 to 54","New York","Black","17**","220,216","7.72"
-"Homicide","50 to 54","North Carolina","White","23","509,044","4.52"
-"Homicide","50 to 54","North Carolina","Black","20**","149,036","13.42"
-"Homicide","50 to 54","North Dakota","White","--","35,160","--"
-"Homicide","50 to 54","North Dakota","Black","--","1,031","--"
-"Homicide","50 to 54","Ohio","White","19**","617,117","3.08"
-"Homicide","50 to 54","Ohio","Black","16**","89,785","17.82"
-"Homicide","50 to 54","Oklahoma","White","12**","178,052","6.74"
-"Homicide","50 to 54","Oklahoma","Black","--","16,942","--"
-"Homicide","50 to 54","Oregon","White","10**","227,838","4.39"
-"Homicide","50 to 54","Oregon","Black","--","5,577","--"
-"Homicide","50 to 54","Pennsylvania","White","10**","678,924","1.47"
-"Homicide","50 to 54","Pennsylvania","Black","23","90,890","25.31"
-"Homicide","50 to 54","Rhode Island","White","--","59,898","--"
-"Homicide","50 to 54","Rhode Island","Black","--","5,724","--"
-"Homicide","50 to 54","South Carolina","White","--","236,806","--"
-"Homicide","50 to 54","South Carolina","Black","20**","81,913","24.42"
-"Homicide","50 to 54","South Dakota","White","--","42,947","--"
-"Homicide","50 to 54","South Dakota","Black","--","946","--"
-"Homicide","50 to 54","Tennessee","White","14**","367,389","3.81"
-"Homicide","50 to 54","Tennessee","Black","19**","69,961","27.16"
-"Homicide","50 to 54","Texas","White","37","862,888","4.29"
-"Homicide","50 to 54","Texas","Black","28","180,409","15.52"
-"Homicide","50 to 54","Utah","White","--","157,258","--"
-"Homicide","50 to 54","Utah","Black","--","2,519","--"
-"Homicide","50 to 54","Vermont","White","--","38,919","--"
-"Homicide","50 to 54","Vermont","Black","--","540","--"
-"Homicide","50 to 54","Virginia","White","14**","388,625","3.60"
-"Homicide","50 to 54","Virginia","Black","--","106,634","--"
-"Homicide","50 to 54","Washington","White","13**","377,009","3.45"
-"Homicide","50 to 54","Washington","Black","--","20,901","--"
-"Homicide","50 to 54","West Virginia","White","--","109,466","--"
-"Homicide","50 to 54","West Virginia","Black","--","3,809","--"
-"Homicide","50 to 54","Wisconsin","White","--","323,134","--"
-"Homicide","50 to 54","Wisconsin","Black","17**","20,808","81.70"
-"Homicide","50 to 54","Wyoming","White","--","30,535","--"
-"Homicide","50 to 54","Wyoming","Black","--","329","--"
-"Homicide","55 to 59","Alabama","White","--","234,725","--"
-"Homicide","55 to 59","Alabama","Black","19**","80,890","23.49"
-"Homicide","55 to 59","Alaska","White","--","30,238","--"
-"Homicide","55 to 59","Alaska","Black","--","1,302","--"
-"Homicide","55 to 59","Arizona","White","19**","365,531","5.20"
-"Homicide","55 to 59","Arizona","Black","--","20,578","--"
-"Homicide","55 to 59","Arkansas","White","--","153,296","--"
-"Homicide","55 to 59","Arkansas","Black","--","26,321","--"
-"Homicide","55 to 59","California","White","39","1,171,798","3.33"
-"Homicide","55 to 59","California","Black","21","106,400","19.74"
-"Homicide","55 to 59","Colorado","White","12**","298,759","4.02"
-"Homicide","55 to 59","Colorado","Black","--","14,192","--"
-"Homicide","55 to 59","Connecticut","White","--","215,797","--"
-"Homicide","55 to 59","Connecticut","Black","--","29,326","--"
-"Homicide","55 to 59","Delaware","White","--","49,603","--"
-"Homicide","55 to 59","Delaware","Black","--","15,814","--"
-"Homicide","55 to 59","District of Columbia","White","--","13,226","--"
-"Homicide","55 to 59","District of Columbia","Black","--","17,696","--"
-"Homicide","55 to 59","Florida","White","24","840,402","2.86"
-"Homicide","55 to 59","Florida","Black","--","160,333","--"
-"Homicide","55 to 59","Georgia","White","11**","429,177","2.56"
-"Homicide","55 to 59","Georgia","Black","36","221,167","16.28"
-"Homicide","55 to 59","Hawaii","White","--","21,573","--"
-"Homicide","55 to 59","Hawaii","Black","--","1,405","--"
-"Homicide","55 to 59","Idaho","White","--","102,715","--"
-"Homicide","55 to 59","Idaho","Black","--","716","--"
-"Homicide","55 to 59","Illinois","White","15**","634,131","2.37"
-"Homicide","55 to 59","Illinois","Black","17**","109,938","15.46"
-"Homicide","55 to 59","Indiana","White","--","373,185","--"
-"Homicide","55 to 59","Indiana","Black","--","36,342","--"
-"Homicide","55 to 59","Iowa","White","--","181,684","--"
-"Homicide","55 to 59","Iowa","Black","--","5,338","--"
-"Homicide","55 to 59","Kansas","White","--","152,533","--"
-"Homicide","55 to 59","Kansas","Black","--","9,457","--"
-"Homicide","55 to 59","Kentucky","White","12**","263,286","4.56"
-"Homicide","55 to 59","Kentucky","Black","--","21,934","--"
-"Homicide","55 to 59","Louisiana","White","--","188,289","--"
-"Homicide","55 to 59","Louisiana","Black","17**","85,950","19.78"
-"Homicide","55 to 59","Maine","White","--","96,539","--"
-"Homicide","55 to 59","Maine","Black","--","1,167","--"
-"Homicide","55 to 59","Maryland","White","--","249,981","--"
-"Homicide","55 to 59","Maryland","Black","12**","134,593","8.92"
-"Homicide","55 to 59","Massachusetts","White","--","405,391","--"
-"Homicide","55 to 59","Massachusetts","Black","--","37,882","--"
-"Homicide","55 to 59","Michigan","White","12**","552,060","2.17"
-"Homicide","55 to 59","Michigan","Black","16**","81,712","19.58"
-"Homicide","55 to 59","Minnesota","White","--","321,151","--"
-"Homicide","55 to 59","Minnesota","Black","--","18,201","--"
-"Homicide","55 to 59","Mississippi","White","--","113,579","--"
-"Homicide","55 to 59","Mississippi","Black","15**","65,346","22.95"
-"Homicide","55 to 59","Missouri","White","14**","332,936","4.21"
-"Homicide","55 to 59","Missouri","Black","16**","41,140","38.89"
-"Homicide","55 to 59","Montana","White","--","61,258","--"
-"Homicide","55 to 59","Montana","Black","--","288","--"
-"Homicide","55 to 59","Nebraska","White","--","103,089","--"
-"Homicide","55 to 59","Nebraska","Black","--","4,975","--"
-"Homicide","55 to 59","Nevada","White","--","149,568","--"
-"Homicide","55 to 59","Nevada","Black","--","18,444","--"
-"Homicide","55 to 59","New Hampshire","White","--","99,991","--"
-"Homicide","55 to 59","New Hampshire","Black","--","1,627","--"
-"Homicide","55 to 59","New Jersey","White","--","476,056","--"
-"Homicide","55 to 59","New Jersey","Black","--","92,532","--"
-"Homicide","55 to 59","New Mexico","White","--","104,282","--"
-"Homicide","55 to 59","New Mexico","Black","--","3,054","--"
-"Homicide","55 to 59","New York","White","12**","933,897","1.28"
-"Homicide","55 to 59","New York","Black","18**","231,500","7.78"
-"Homicide","55 to 59","North Carolina","White","20**","505,897","3.95"
-"Homicide","55 to 59","North Carolina","Black","22","146,973","14.97"
-"Homicide","55 to 59","North Dakota","White","--","38,376","--"
-"Homicide","55 to 59","North Dakota","Black","--","866","--"
-"Homicide","55 to 59","Ohio","White","18**","643,289","2.80"
-"Homicide","55 to 59","Ohio","Black","13**","85,533","15.20"
-"Homicide","55 to 59","Oklahoma","White","--","181,020","--"
-"Homicide","55 to 59","Oklahoma","Black","--","16,816","--"
-"Homicide","55 to 59","Oregon","White","--","220,261","--"
-"Homicide","55 to 59","Oregon","Black","--","5,098","--"
-"Homicide","55 to 59","Pennsylvania","White","14**","735,977","1.90"
-"Homicide","55 to 59","Pennsylvania","Black","21","89,822","23.38"
-"Homicide","55 to 59","Rhode Island","White","--","66,740","--"
-"Homicide","55 to 59","Rhode Island","Black","--","5,330","--"
-"Homicide","55 to 59","South Carolina","White","--","246,648","--"
-"Homicide","55 to 59","South Carolina","Black","19**","86,342","22.01"
-"Homicide","55 to 59","South Dakota","White","--","48,595","--"
-"Homicide","55 to 59","South Dakota","Black","--","745","--"
-"Homicide","55 to 59","Tennessee","White","16**","372,016","4.30"
-"Homicide","55 to 59","Tennessee","Black","10**","68,806","14.53"
-"Homicide","55 to 59","Texas","White","29","786,434","3.69"
-"Homicide","55 to 59","Texas","Black","25","164,585","15.19"
-"Homicide","55 to 59","Utah","White","--","140,905","--"
-"Homicide","55 to 59","Utah","Black","--","1,954","--"
-"Homicide","55 to 59","Vermont","White","--","42,825","--"
-"Homicide","55 to 59","Vermont","Black","--","445","--"
-"Homicide","55 to 59","Virginia","White","15**","400,334","3.75"
-"Homicide","55 to 59","Virginia","Black","14**","112,976","12.39"
-"Homicide","55 to 59","Washington","White","14**","376,019","3.72"
-"Homicide","55 to 59","Washington","Black","--","18,937","--"
-"Homicide","55 to 59","West Virginia","White","--","111,312","--"
-"Homicide","55 to 59","West Virginia","Black","--","3,790","--"
-"Homicide","55 to 59","Wisconsin","White","--","362,313","--"
-"Homicide","55 to 59","Wisconsin","Black","--","18,804","--"
-"Homicide","55 to 59","Wyoming","White","--","31,656","--"
-"Homicide","55 to 59","Wyoming","Black","--","301","--"
-"Homicide","60 to 64","Alabama","White","--","241,376","--"
-"Homicide","60 to 64","Alabama","Black","--","81,363","--"
-"Homicide","60 to 64","Alaska","White","--","32,498","--"
-"Homicide","60 to 64","Alaska","Black","--","1,338","--"
-"Homicide","60 to 64","Arizona","White","16**","387,349","4.13"
-"Homicide","60 to 64","Arizona","Black","--","19,164","--"
-"Homicide","60 to 64","Arkansas","White","--","158,173","--"
-"Homicide","60 to 64","Arkansas","Black","--","26,649","--"
-"Homicide","60 to 64","California","White","27","1,134,448","2.38"
-"Homicide","60 to 64","California","Black","12**","102,740","11.68"
-"Homicide","60 to 64","Colorado","White","--","315,328","--"
-"Homicide","60 to 64","Colorado","Black","--","13,476","--"
-"Homicide","60 to 64","Connecticut","White","--","218,014","--"
-"Homicide","60 to 64","Connecticut","Black","--","25,283","--"
-"Homicide","60 to 64","Delaware","White","--","56,054","--"
-"Homicide","60 to 64","Delaware","Black","--","14,945","--"
-"Homicide","60 to 64","District of Columbia","White","--","11,217","--"
-"Homicide","60 to 64","District of Columbia","Black","--","18,328","--"
-"Homicide","60 to 64","Florida","White","18**","844,101","2.13"
-"Homicide","60 to 64","Florida","Black","17**","150,101","11.33"
-"Homicide","60 to 64","Georgia","White","20**","415,081","4.82"
-"Homicide","60 to 64","Georgia","Black","21","197,242","10.65"
-"Homicide","60 to 64","Hawaii","White","--","24,618","--"
-"Homicide","60 to 64","Hawaii","Black","--","1,270","--"
-"Homicide","60 to 64","Idaho","White","--","111,543","--"
-"Homicide","60 to 64","Idaho","Black","--","719","--"
-"Homicide","60 to 64","Illinois","White","13**","649,592","2.00"
-"Homicide","60 to 64","Illinois","Black","22","109,112","20.16"
-"Homicide","60 to 64","Indiana","White","11**","385,796","2.85"
-"Homicide","60 to 64","Indiana","Black","--","35,576","--"
-"Homicide","60 to 64","Iowa","White","--","198,641","--"
-"Homicide","60 to 64","Iowa","Black","--","4,671","--"
-"Homicide","60 to 64","Kansas","White","--","166,056","--"
-"Homicide","60 to 64","Kansas","Black","--","9,750","--"
-"Homicide","60 to 64","Kentucky","White","--","266,410","--"
-"Homicide","60 to 64","Kentucky","Black","--","22,036","--"
-"Homicide","60 to 64","Louisiana","White","--","198,660","--"
-"Homicide","60 to 64","Louisiana","Black","18**","86,017","20.93"
-"Homicide","60 to 64","Maine","White","--","105,788","--"
-"Homicide","60 to 64","Maine","Black","--","852","--"
-"Homicide","60 to 64","Maryland","White","--","249,697","--"
-"Homicide","60 to 64","Maryland","Black","--","123,509","--"
-"Homicide","60 to 64","Massachusetts","White","--","407,859","--"
-"Homicide","60 to 64","Massachusetts","Black","--","33,266","--"
-"Homicide","60 to 64","Michigan","White","--","587,417","--"
-"Homicide","60 to 64","Michigan","Black","14**","78,376","17.86"
-"Homicide","60 to 64","Minnesota","White","--","347,478","--"
-"Homicide","60 to 64","Minnesota","Black","--","15,058","--"
-"Homicide","60 to 64","Mississippi","White","--","119,015","--"
-"Homicide","60 to 64","Mississippi","Black","13**","64,828","20.05"
-"Homicide","60 to 64","Missouri","White","13**","359,552","3.62"
-"Homicide","60 to 64","Missouri","Black","--","41,032","--"
-"Homicide","60 to 64","Montana","White","--","72,487","--"
-"Homicide","60 to 64","Montana","Black","--","245","--"
-"Homicide","60 to 64","Nebraska","White","--","112,842","--"
-"Homicide","60 to 64","Nebraska","Black","--","4,681","--"
-"Homicide","60 to 64","Nevada","White","13**","149,147","8.72"
-"Homicide","60 to 64","Nevada","Black","--","17,074","--"
-"Homicide","60 to 64","New Hampshire","White","--","106,655","--"
-"Homicide","60 to 64","New Hampshire","Black","--","1,161","--"
-"Homicide","60 to 64","New Jersey","White","--","473,725","--"
-"Homicide","60 to 64","New Jersey","Black","--","82,933","--"
-"Homicide","60 to 64","New Mexico","White","--","117,136","--"
-"Homicide","60 to 64","New Mexico","Black","--","3,077","--"
-"Homicide","60 to 64","New York","White","18**","942,358","1.91"
-"Homicide","60 to 64","New York","Black","12**","216,089","5.55"
-"Homicide","60 to 64","North Carolina","White","16**","511,117","3.13"
-"Homicide","60 to 64","North Carolina","Black","14**","139,348","10.05"
-"Homicide","60 to 64","North Dakota","White","--","44,024","--"
-"Homicide","60 to 64","North Dakota","Black","--","675","--"
-"Homicide","60 to 64","Ohio","White","10**","682,459","1.47"
-"Homicide","60 to 64","Ohio","Black","16**","87,564","18.27"
-"Homicide","60 to 64","Oklahoma","White","--","195,839","--"
-"Homicide","60 to 64","Oklahoma","Black","--","16,866","--"
-"Homicide","60 to 64","Oregon","White","--","239,234","--"
-"Homicide","60 to 64","Oregon","Black","--","4,587","--"
-"Homicide","60 to 64","Pennsylvania","White","11**","783,215","1.40"
-"Homicide","60 to 64","Pennsylvania","Black","12**","84,574","14.19"
-"Homicide","60 to 64","Rhode Island","White","--","68,095","--"
-"Homicide","60 to 64","Rhode Island","Black","--","4,791","--"
-"Homicide","60 to 64","South Carolina","White","--","258,055","--"
-"Homicide","60 to 64","South Carolina","Black","--","84,546","--"
-"Homicide","60 to 64","South Dakota","White","--","56,329","--"
-"Homicide","60 to 64","South Dakota","Black","--","648","--"
-"Homicide","60 to 64","Tennessee","White","--","372,170","--"
-"Homicide","60 to 64","Tennessee","Black","13**","66,600","19.52"
-"Homicide","60 to 64","Texas","White","29","743,019","3.90"
-"Homicide","60 to 64","Texas","Black","14**","149,980","9.33"
-"Homicide","60 to 64","Utah","White","--","144,353","--"
-"Homicide","60 to 64","Utah","Black","--","1,761","--"
-"Homicide","60 to 64","Vermont","White","--","47,554","--"
-"Homicide","60 to 64","Vermont","Black","--","353","--"
-"Homicide","60 to 64","Virginia","White","10**","398,877","2.51"
-"Homicide","60 to 64","Virginia","Black","--","107,601","--"
-"Homicide","60 to 64","Washington","White","--","398,179","--"
-"Homicide","60 to 64","Washington","Black","--","17,278","--"
-"Homicide","60 to 64","West Virginia","White","--","117,020","--"
-"Homicide","60 to 64","West Virginia","Black","--","3,943","--"
-"Homicide","60 to 64","Wisconsin","White","--","387,352","--"
-"Homicide","60 to 64","Wisconsin","Black","--","17,434","--"
-"Homicide","60 to 64","Wyoming","White","--","37,645","--"
-"Homicide","60 to 64","Wyoming","Black","--","373","--"
-"Homicide","65 to 69","Alabama","White","--","218,808","--"
-"Homicide","65 to 69","Alabama","Black","--","70,663","--"
-"Homicide","65 to 69","Alaska","White","--","29,323","--"
-"Homicide","65 to 69","Alaska","Black","--","1,013","--"
-"Homicide","65 to 69","Arizona","White","11**","368,867","2.98"
-"Homicide","65 to 69","Arizona","Black","--","14,885","--"
-"Homicide","65 to 69","Arkansas","White","--","143,209","--"
-"Homicide","65 to 69","Arkansas","Black","--","23,363","--"
-"Homicide","65 to 69","California","White","21","975,884","2.15"
-"Homicide","65 to 69","California","Black","--","79,665","--"
-"Homicide","65 to 69","Colorado","White","--","284,195","--"
-"Homicide","65 to 69","Colorado","Black","--","10,313","--"
-"Homicide","65 to 69","Connecticut","White","--","185,845","--"
-"Homicide","65 to 69","Connecticut","Black","--","18,418","--"
-"Homicide","65 to 69","Delaware","White","--","55,037","--"
-"Homicide","65 to 69","Delaware","Black","--","12,102","--"
-"Homicide","65 to 69","District of Columbia","White","--","9,872","--"
-"Homicide","65 to 69","District of Columbia","Black","--","16,123","--"
-"Homicide","65 to 69","Florida","White","20**","773,721","2.58"
-"Homicide","65 to 69","Florida","Black","--","124,744","--"
-"Homicide","65 to 69","Georgia","White","16**","363,604","4.40"
-"Homicide","65 to 69","Georgia","Black","10**","158,699","6.30"
-"Homicide","65 to 69","Hawaii","White","--","25,667","--"
-"Homicide","65 to 69","Hawaii","Black","--","884","--"
-"Homicide","65 to 69","Idaho","White","--","104,996","--"
-"Homicide","65 to 69","Idaho","Black","--","553","--"
-"Homicide","65 to 69","Illinois","White","16**","568,698","2.81"
-"Homicide","65 to 69","Illinois","Black","--","89,860","--"
-"Homicide","65 to 69","Indiana","White","--","344,251","--"
-"Homicide","65 to 69","Indiana","Black","--","28,873","--"
-"Homicide","65 to 69","Iowa","White","--","179,713","--"
-"Homicide","65 to 69","Iowa","Black","--","3,176","--"
-"Homicide","65 to 69","Kansas","White","--","150,815","--"
-"Homicide","65 to 69","Kansas","Black","--","7,654","--"
-"Homicide","65 to 69","Kentucky","White","--","239,218","--"
-"Homicide","65 to 69","Kentucky","Black","--","18,050","--"
-"Homicide","65 to 69","Louisiana","White","--","180,005","--"
-"Homicide","65 to 69","Louisiana","Black","11**","74,556","14.75"
-"Homicide","65 to 69","Maine","White","--","98,472","--"
-"Homicide","65 to 69","Maine","Black","--","593","--"
-"Homicide","65 to 69","Maryland","White","--","214,811","--"
-"Homicide","65 to 69","Maryland","Black","--","96,983","--"
-"Homicide","65 to 69","Massachusetts","White","--","355,213","--"
-"Homicide","65 to 69","Massachusetts","Black","--","25,636","--"
-"Homicide","65 to 69","Michigan","White","--","534,220","--"
-"Homicide","65 to 69","Michigan","Black","--","68,318","--"
-"Homicide","65 to 69","Minnesota","White","--","303,105","--"
-"Homicide","65 to 69","Minnesota","Black","--","10,420","--"
-"Homicide","65 to 69","Mississippi","White","--","108,062","--"
-"Homicide","65 to 69","Mississippi","Black","--","56,073","--"
-"Homicide","65 to 69","Missouri","White","--","317,274","--"
-"Homicide","65 to 69","Missouri","Black","11**","33,398","32.94"
-"Homicide","65 to 69","Montana","White","--","70,593","--"
-"Homicide","65 to 69","Montana","Black","--","184","--"
-"Homicide","65 to 69","Nebraska","White","--","101,595","--"
-"Homicide","65 to 69","Nebraska","Black","--","3,354","--"
-"Homicide","65 to 69","Nevada","White","--","136,363","--"
-"Homicide","65 to 69","Nevada","Black","--","13,883","--"
-"Homicide","65 to 69","New Hampshire","White","--","91,513","--"
-"Homicide","65 to 69","New Hampshire","Black","--","783","--"
-"Homicide","65 to 69","New Jersey","White","--","403,400","--"
-"Homicide","65 to 69","New Jersey","Black","--","62,349","--"
-"Homicide","65 to 69","New Mexico","White","--","111,728","--"
-"Homicide","65 to 69","New Mexico","Black","--","2,567","--"
-"Homicide","65 to 69","New York","White","12**","828,108","1.45"
-"Homicide","65 to 69","New York","Black","12**","170,532","7.04"
-"Homicide","65 to 69","North Carolina","White","12**","462,212","2.60"
-"Homicide","65 to 69","North Carolina","Black","--","118,849","--"
-"Homicide","65 to 69","North Dakota","White","--","40,236","--"
-"Homicide","65 to 69","North Dakota","Black","--","361","--"
-"Homicide","65 to 69","Ohio","White","--","618,913","--"
-"Homicide","65 to 69","Ohio","Black","--","72,436","--"
-"Homicide","65 to 69","Oklahoma","White","--","176,678","--"
-"Homicide","65 to 69","Oklahoma","Black","--","13,784","--"
-"Homicide","65 to 69","Oregon","White","--","239,323","--"
-"Homicide","65 to 69","Oregon","Black","--","3,645","--"
-"Homicide","65 to 69","Pennsylvania","White","12**","717,464","1.67"
-"Homicide","65 to 69","Pennsylvania","Black","--","68,715","--"
-"Homicide","65 to 69","Rhode Island","White","--","60,525","--"
-"Homicide","65 to 69","Rhode Island","Black","--","3,829","--"
-"Homicide","65 to 69","South Carolina","White","12**","244,813","4.90"
-"Homicide","65 to 69","South Carolina","Black","--","74,236","--"
-"Homicide","65 to 69","South Dakota","White","--","52,939","--"
-"Homicide","65 to 69","South Dakota","Black","--","425","--"
-"Homicide","65 to 69","Tennessee","White","10**","335,602","2.98"
-"Homicide","65 to 69","Tennessee","Black","--","56,286","--"
-"Homicide","65 to 69","Texas","White","26","612,306","4.25"
-"Homicide","65 to 69","Texas","Black","11**","116,514","9.44"
-"Homicide","65 to 69","Utah","White","--","129,446","--"
-"Homicide","65 to 69","Utah","Black","--","1,154","--"
-"Homicide","65 to 69","Vermont","White","--","44,142","--"
-"Homicide","65 to 69","Vermont","Black","--","308","--"
-"Homicide","65 to 69","Virginia","White","--","349,570","--"
-"Homicide","65 to 69","Virginia","Black","--","88,125","--"
-"Homicide","65 to 69","Washington","White","10**","369,741","2.70"
-"Homicide","65 to 69","Washington","Black","--","13,133","--"
-"Homicide","65 to 69","West Virginia","White","--","112,800","--"
-"Homicide","65 to 69","West Virginia","Black","--","3,724","--"
-"Homicide","65 to 69","Wisconsin","White","--","343,002","--"
-"Homicide","65 to 69","Wisconsin","Black","--","13,511","--"
-"Homicide","65 to 69","Wyoming","White","--","36,161","--"
-"Homicide","65 to 69","Wyoming","Black","--","330","--"
-"Homicide","70 to 74","Alabama","White","--","184,518","--"
-"Homicide","70 to 74","Alabama","Black","--","52,309","--"
-"Homicide","70 to 74","Alaska","White","--","21,908","--"
-"Homicide","70 to 74","Alaska","Black","--","641","--"
-"Homicide","70 to 74","Arizona","White","13**","331,009","3.93"
-"Homicide","70 to 74","Arizona","Black","--","10,831","--"
-"Homicide","70 to 74","Arkansas","White","--","121,280","--"
-"Homicide","70 to 74","Arkansas","Black","--","16,676","--"
-"Homicide","70 to 74","California","White","14**","789,014","1.77"
-"Homicide","70 to 74","California","Black","--","58,171","--"
-"Homicide","70 to 74","Colorado","White","--","231,377","--"
-"Homicide","70 to 74","Colorado","Black","--","7,034","--"
-"Homicide","70 to 74","Connecticut","White","--","146,054","--"
-"Homicide","70 to 74","Connecticut","Black","--","13,070","--"
-"Homicide","70 to 74","Delaware","White","--","46,181","--"
-"Homicide","70 to 74","Delaware","Black","--","8,863","--"
-"Homicide","70 to 74","District of Columbia","White","--","9,281","--"
-"Homicide","70 to 74","District of Columbia","Black","--","12,135","--"
-"Homicide","70 to 74","Florida","White","--","694,340","--"
-"Homicide","70 to 74","Florida","Black","--","92,155","--"
-"Homicide","70 to 74","Georgia","White","--","306,108","--"
-"Homicide","70 to 74","Georgia","Black","--","117,118","--"
-"Homicide","70 to 74","Hawaii","White","--","24,474","--"
-"Homicide","70 to 74","Hawaii","Black","--","681","--"
-"Homicide","70 to 74","Idaho","White","--","86,122","--"
-"Homicide","70 to 74","Idaho","Black","--","295","--"
-"Homicide","70 to 74","Illinois","White","--","455,473","--"
-"Homicide","70 to 74","Illinois","Black","--","67,639","--"
-"Homicide","70 to 74","Indiana","White","--","276,868","--"
-"Homicide","70 to 74","Indiana","Black","--","20,494","--"
-"Homicide","70 to 74","Iowa","White","--","146,058","--"
-"Homicide","70 to 74","Iowa","Black","--","2,143","--"
-"Homicide","70 to 74","Kansas","White","--","120,373","--"
-"Homicide","70 to 74","Kansas","Black","--","5,347","--"
-"Homicide","70 to 74","Kentucky","White","--","197,198","--"
-"Homicide","70 to 74","Kentucky","Black","--","13,068","--"
-"Homicide","70 to 74","Louisiana","White","--","147,133","--"
-"Homicide","70 to 74","Louisiana","Black","--","54,927","--"
-"Homicide","70 to 74","Maine","White","--","81,896","--"
-"Homicide","70 to 74","Maine","Black","--","364","--"
-"Homicide","70 to 74","Maryland","White","--","175,371","--"
-"Homicide","70 to 74","Maryland","Black","--","75,287","--"
-"Homicide","70 to 74","Massachusetts","White","--","290,138","--"
-"Homicide","70 to 74","Massachusetts","Black","--","18,157","--"
-"Homicide","70 to 74","Michigan","White","--","430,369","--"
-"Homicide","70 to 74","Michigan","Black","--","52,772","--"
-"Homicide","70 to 74","Minnesota","White","--","242,661","--"
-"Homicide","70 to 74","Minnesota","Black","--","6,722","--"
-"Homicide","70 to 74","Mississippi","White","--","92,150","--"
-"Homicide","70 to 74","Mississippi","Black","--","40,514","--"
-"Homicide","70 to 74","Missouri","White","--","257,208","--"
-"Homicide","70 to 74","Missouri","Black","--","24,097","--"
-"Homicide","70 to 74","Montana","White","--","58,647","--"
-"Homicide","70 to 74","Montana","Black","--","116","--"
-"Homicide","70 to 74","Nebraska","White","--","82,935","--"
-"Homicide","70 to 74","Nebraska","Black","--","2,418","--"
-"Homicide","70 to 74","Nevada","White","--","115,652","--"
-"Homicide","70 to 74","Nevada","Black","--","10,454","--"
-"Homicide","70 to 74","New Hampshire","White","--","72,210","--"
-"Homicide","70 to 74","New Hampshire","Black","--","480","--"
-"Homicide","70 to 74","New Jersey","White","--","322,055","--"
-"Homicide","70 to 74","New Jersey","Black","--","45,472","--"
-"Homicide","70 to 74","New Mexico","White","--","98,360","--"
-"Homicide","70 to 74","New Mexico","Black","--","1,871","--"
-"Homicide","70 to 74","New York","White","10**","689,039","1.45"
-"Homicide","70 to 74","New York","Black","--","127,225","--"
-"Homicide","70 to 74","North Carolina","White","--","391,721","--"
-"Homicide","70 to 74","North Carolina","Black","--","90,717","--"
-"Homicide","70 to 74","North Dakota","White","--","31,127","--"
-"Homicide","70 to 74","North Dakota","Black","--","213","--"
-"Homicide","70 to 74","Ohio","White","--","504,041","--"
-"Homicide","70 to 74","Ohio","Black","--","53,778","--"
-"Homicide","70 to 74","Oklahoma","White","--","143,402","--"
-"Homicide","70 to 74","Oklahoma","Black","--","9,961","--"
-"Homicide","70 to 74","Oregon","White","--","209,195","--"
-"Homicide","70 to 74","Oregon","Black","--","2,584","--"
-"Homicide","70 to 74","Pennsylvania","White","--","583,490","--"
-"Homicide","70 to 74","Pennsylvania","Black","--","50,713","--"
-"Homicide","70 to 74","Rhode Island","White","--","48,526","--"
-"Homicide","70 to 74","Rhode Island","Black","--","2,248","--"
-"Homicide","70 to 74","South Carolina","White","--","213,364","--"
-"Homicide","70 to 74","South Carolina","Black","--","57,654","--"
-"Homicide","70 to 74","South Dakota","White","--","41,186","--"
-"Homicide","70 to 74","South Dakota","Black","--","280","--"
-"Homicide","70 to 74","Tennessee","White","--","278,596","--"
-"Homicide","70 to 74","Tennessee","Black","--","40,238","--"
-"Homicide","70 to 74","Texas","White","10**","476,929","2.10"
-"Homicide","70 to 74","Texas","Black","--","81,702","--"
-"Homicide","70 to 74","Utah","White","--","102,765","--"
-"Homicide","70 to 74","Utah","Black","--","699","--"
-"Homicide","70 to 74","Vermont","White","--","36,848","--"
-"Homicide","70 to 74","Vermont","Black","--","174","--"
-"Homicide","70 to 74","Virginia","White","--","294,063","--"
-"Homicide","70 to 74","Virginia","Black","--","64,958","--"
-"Homicide","70 to 74","Washington","White","13**","307,141","4.23"
-"Homicide","70 to 74","Washington","Black","--","8,601","--"
-"Homicide","70 to 74","West Virginia","White","--","99,669","--"
-"Homicide","70 to 74","West Virginia","Black","--","2,691","--"
-"Homicide","70 to 74","Wisconsin","White","--","275,842","--"
-"Homicide","70 to 74","Wisconsin","Black","--","9,669","--"
-"Homicide","70 to 74","Wyoming","White","--","28,136","--"
-"Homicide","70 to 74","Wyoming","Black","--","238","--"
-"Homicide","75 to 79","Alabama","White","--","140,104","--"
-"Homicide","75 to 79","Alabama","Black","--","30,490","--"
-"Homicide","75 to 79","Alaska","White","--","13,780","--"
-"Homicide","75 to 79","Alaska","Black","--","340","--"
-"Homicide","75 to 79","Arizona","White","--","259,218","--"
-"Homicide","75 to 79","Arizona","Black","--","6,387","--"
-"Homicide","75 to 79","Arkansas","White","--","92,339","--"
-"Homicide","75 to 79","Arkansas","Black","--","9,305","--"
-"Homicide","75 to 79","California","White","--","580,958","--"
-"Homicide","75 to 79","California","Black","--","38,418","--"
-"Homicide","75 to 79","Colorado","White","--","156,941","--"
-"Homicide","75 to 79","Colorado","Black","--","4,030","--"
-"Homicide","75 to 79","Connecticut","White","--","112,387","--"
-"Homicide","75 to 79","Connecticut","Black","--","8,954","--"
-"Homicide","75 to 79","Delaware","White","--","33,500","--"
-"Homicide","75 to 79","Delaware","Black","--","5,742","--"
-"Homicide","75 to 79","District of Columbia","White","--","7,171","--"
-"Homicide","75 to 79","District of Columbia","Black","--","7,913","--"
-"Homicide","75 to 79","Florida","White","10**","564,876","1.77"
-"Homicide","75 to 79","Florida","Black","--","60,346","--"
-"Homicide","75 to 79","Georgia","White","12**","230,570","5.20"
-"Homicide","75 to 79","Georgia","Black","--","69,728","--"
-"Homicide","75 to 79","Hawaii","White","--","17,293","--"
-"Homicide","75 to 79","Hawaii","Black","--","379","--"
-"Homicide","75 to 79","Idaho","White","--","60,752","--"
-"Homicide","75 to 79","Idaho","Black","--","145","--"
-"Homicide","75 to 79","Illinois","White","--","325,487","--"
-"Homicide","75 to 79","Illinois","Black","--","44,504","--"
-"Homicide","75 to 79","Indiana","White","--","194,050","--"
-"Homicide","75 to 79","Indiana","Black","--","12,127","--"
-"Homicide","75 to 79","Iowa","White","--","101,116","--"
-"Homicide","75 to 79","Iowa","Black","--","1,154","--"
-"Homicide","75 to 79","Kansas","White","--","84,520","--"
-"Homicide","75 to 79","Kansas","Black","--","3,233","--"
-"Homicide","75 to 79","Kentucky","White","--","138,272","--"
-"Homicide","75 to 79","Kentucky","Black","--","7,190","--"
-"Homicide","75 to 79","Louisiana","White","--","106,682","--"
-"Homicide","75 to 79","Louisiana","Black","--","33,035","--"
-"Homicide","75 to 79","Maine","White","--","57,614","--"
-"Homicide","75 to 79","Maine","Black","--","197","--"
-"Homicide","75 to 79","Maryland","White","--","133,278","--"
-"Homicide","75 to 79","Maryland","Black","--","47,902","--"
-"Homicide","75 to 79","Massachusetts","White","--","212,427","--"
-"Homicide","75 to 79","Massachusetts","Black","--","11,603","--"
-"Homicide","75 to 79","Michigan","White","--","301,682","--"
-"Homicide","75 to 79","Michigan","Black","--","33,687","--"
-"Homicide","75 to 79","Minnesota","White","--","168,004","--"
-"Homicide","75 to 79","Minnesota","Black","--","3,940","--"
-"Homicide","75 to 79","Mississippi","White","--","69,918","--"
-"Homicide","75 to 79","Mississippi","Black","--","23,187","--"
-"Homicide","75 to 79","Missouri","White","--","186,024","--"
-"Homicide","75 to 79","Missouri","Black","--","15,316","--"
-"Homicide","75 to 79","Montana","White","--","39,301","--"
-"Homicide","75 to 79","Montana","Black","--","48","--"
-"Homicide","75 to 79","Nebraska","White","--","56,549","--"
-"Homicide","75 to 79","Nebraska","Black","--","1,446","--"
-"Homicide","75 to 79","Nevada","White","--","86,617","--"
-"Homicide","75 to 79","Nevada","Black","--","6,666","--"
-"Homicide","75 to 79","New Hampshire","White","--","50,635","--"
-"Homicide","75 to 79","New Hampshire","Black","--","275","--"
-"Homicide","75 to 79","New Jersey","White","--","243,451","--"
-"Homicide","75 to 79","New Jersey","Black","--","31,042","--"
-"Homicide","75 to 79","New Mexico","White","--","70,044","--"
-"Homicide","75 to 79","New Mexico","Black","--","1,103","--"
-"Homicide","75 to 79","New York","White","--","508,617","--"
-"Homicide","75 to 79","New York","Black","--","89,277","--"
-"Homicide","75 to 79","North Carolina","White","--","292,145","--"
-"Homicide","75 to 79","North Carolina","Black","--","55,152","--"
-"Homicide","75 to 79","North Dakota","White","--","21,434","--"
-"Homicide","75 to 79","North Dakota","Black","--","80","--"
-"Homicide","75 to 79","Ohio","White","12**","350,654","3.42"
-"Homicide","75 to 79","Ohio","Black","--","32,868","--"
-"Homicide","75 to 79","Oklahoma","White","--","106,504","--"
-"Homicide","75 to 79","Oklahoma","Black","--","5,905","--"
-"Homicide","75 to 79","Oregon","White","--","147,532","--"
-"Homicide","75 to 79","Oregon","Black","--","1,442","--"
-"Homicide","75 to 79","Pennsylvania","White","--","420,801","--"
-"Homicide","75 to 79","Pennsylvania","Black","--","32,124","--"
-"Homicide","75 to 79","Rhode Island","White","--","35,055","--"
-"Homicide","75 to 79","Rhode Island","Black","--","1,540","--"
-"Homicide","75 to 79","South Carolina","White","--","159,004","--"
-"Homicide","75 to 79","South Carolina","Black","--","35,919","--"
-"Homicide","75 to 79","South Dakota","White","--","25,922","--"
-"Homicide","75 to 79","South Dakota","Black","--","123","--"
-"Homicide","75 to 79","Tennessee","White","--","205,655","--"
-"Homicide","75 to 79","Tennessee","Black","--","22,850","--"
-"Homicide","75 to 79","Texas","White","--","335,643","--"
-"Homicide","75 to 79","Texas","Black","--","46,951","--"
-"Homicide","75 to 79","Utah","White","--","72,064","--"
-"Homicide","75 to 79","Utah","Black","--","332","--"
-"Homicide","75 to 79","Vermont","White","--","25,762","--"
-"Homicide","75 to 79","Vermont","Black","--","89","--"
-"Homicide","75 to 79","Virginia","White","--","222,159","--"
-"Homicide","75 to 79","Virginia","Black","--","40,596","--"
-"Homicide","75 to 79","Washington","White","--","219,080","--"
-"Homicide","75 to 79","Washington","Black","--","4,896","--"
-"Homicide","75 to 79","West Virginia","White","--","68,388","--"
-"Homicide","75 to 79","West Virginia","Black","--","1,577","--"
-"Homicide","75 to 79","Wisconsin","White","--","188,469","--"
-"Homicide","75 to 79","Wisconsin","Black","--","5,510","--"
-"Homicide","75 to 79","Wyoming","White","--","18,609","--"
-"Homicide","75 to 79","Wyoming","Black","--","95","--"
-"Homicide","80 to 84","Alabama","White","--","85,099","--"
-"Homicide","80 to 84","Alabama","Black","--","17,802","--"
-"Homicide","80 to 84","Alaska","White","--","7,019","--"
-"Homicide","80 to 84","Alaska","Black","--","176","--"
-"Homicide","80 to 84","Arizona","White","--","158,667","--"
-"Homicide","80 to 84","Arizona","Black","--","3,669","--"
-"Homicide","80 to 84","Arkansas","White","--","57,541","--"
-"Homicide","80 to 84","Arkansas","Black","--","5,272","--"
-"Homicide","80 to 84","California","White","--","359,993","--"
-"Homicide","80 to 84","California","Black","--","25,929","--"
-"Homicide","80 to 84","Colorado","White","--","89,427","--"
-"Homicide","80 to 84","Colorado","Black","--","2,622","--"
-"Homicide","80 to 84","Connecticut","White","--","68,600","--"
-"Homicide","80 to 84","Connecticut","Black","--","5,640","--"
-"Homicide","80 to 84","Delaware","White","--","19,206","--"
-"Homicide","80 to 84","Delaware","Black","--","3,404","--"
-"Homicide","80 to 84","District of Columbia","White","--","4,280","--"
-"Homicide","80 to 84","District of Columbia","Black","--","5,495","--"
-"Homicide","80 to 84","Florida","White","12**","372,261","3.22"
-"Homicide","80 to 84","Florida","Black","--","36,632","--"
-"Homicide","80 to 84","Georgia","White","--","134,303","--"
-"Homicide","80 to 84","Georgia","Black","--","38,946","--"
-"Homicide","80 to 84","Hawaii","White","--","8,776","--"
-"Homicide","80 to 84","Hawaii","Black","--","207","--"
-"Homicide","80 to 84","Idaho","White","--","35,459","--"
-"Homicide","80 to 84","Idaho","Black","--","85","--"
-"Homicide","80 to 84","Illinois","White","--","205,771","--"
-"Homicide","80 to 84","Illinois","Black","--","28,734","--"
-"Homicide","80 to 84","Indiana","White","--","120,668","--"
-"Homicide","80 to 84","Indiana","Black","--","7,550","--"
-"Homicide","80 to 84","Iowa","White","--","66,497","--"
-"Homicide","80 to 84","Iowa","Black","--","727","--"
-"Homicide","80 to 84","Kansas","White","--","52,796","--"
-"Homicide","80 to 84","Kansas","Black","--","2,021","--"
-"Homicide","80 to 84","Kentucky","White","--","82,958","--"
-"Homicide","80 to 84","Kentucky","Black","--","4,458","--"
-"Homicide","80 to 84","Louisiana","White","--","65,100","--"
-"Homicide","80 to 84","Louisiana","Black","--","19,051","--"
-"Homicide","80 to 84","Maine","White","--","33,810","--"
-"Homicide","80 to 84","Maine","Black","--","136","--"
-"Homicide","80 to 84","Maryland","White","--","82,123","--"
-"Homicide","80 to 84","Maryland","Black","--","28,623","--"
-"Homicide","80 to 84","Massachusetts","White","--","127,688","--"
-"Homicide","80 to 84","Massachusetts","Black","--","7,135","--"
-"Homicide","80 to 84","Michigan","White","--","184,824","--"
-"Homicide","80 to 84","Michigan","Black","--","19,200","--"
-"Homicide","80 to 84","Minnesota","White","--","107,521","--"
-"Homicide","80 to 84","Minnesota","Black","--","2,379","--"
-"Homicide","80 to 84","Mississippi","White","--","43,433","--"
-"Homicide","80 to 84","Mississippi","Black","--","13,394","--"
-"Homicide","80 to 84","Missouri","White","--","116,562","--"
-"Homicide","80 to 84","Missouri","Black","--","9,215","--"
-"Homicide","80 to 84","Montana","White","--","23,393","--"
-"Homicide","80 to 84","Montana","Black","--","66","--"
-"Homicide","80 to 84","Nebraska","White","--","35,755","--"
-"Homicide","80 to 84","Nebraska","Black","--","924","--"
-"Homicide","80 to 84","Nevada","White","--","48,775","--"
-"Homicide","80 to 84","Nevada","Black","--","3,944","--"
-"Homicide","80 to 84","New Hampshire","White","--","29,025","--"
-"Homicide","80 to 84","New Hampshire","Black","--","152","--"
-"Homicide","80 to 84","New Jersey","White","--","151,821","--"
-"Homicide","80 to 84","New Jersey","Black","--","20,261","--"
-"Homicide","80 to 84","New Mexico","White","--","41,309","--"
-"Homicide","80 to 84","New Mexico","Black","--","666","--"
-"Homicide","80 to 84","New York","White","--","324,013","--"
-"Homicide","80 to 84","New York","Black","--","59,265","--"
-"Homicide","80 to 84","North Carolina","White","--","170,139","--"
-"Homicide","80 to 84","North Carolina","Black","--","31,514","--"
-"Homicide","80 to 84","North Dakota","White","--","13,974","--"
-"Homicide","80 to 84","North Dakota","Black","--","38","--"
-"Homicide","80 to 84","Ohio","White","--","220,378","--"
-"Homicide","80 to 84","Ohio","Black","--","21,095","--"
-"Homicide","80 to 84","Oklahoma","White","--","66,458","--"
-"Homicide","80 to 84","Oklahoma","Black","--","3,373","--"
-"Homicide","80 to 84","Oregon","White","--","83,913","--"
-"Homicide","80 to 84","Oregon","Black","--","886","--"
-"Homicide","80 to 84","Pennsylvania","White","--","267,033","--"
-"Homicide","80 to 84","Pennsylvania","Black","--","20,181","--"
-"Homicide","80 to 84","Rhode Island","White","--","21,479","--"
-"Homicide","80 to 84","Rhode Island","Black","--","961","--"
-"Homicide","80 to 84","South Carolina","White","--","89,359","--"
-"Homicide","80 to 84","South Carolina","Black","--","19,823","--"
-"Homicide","80 to 84","South Dakota","White","--","16,008","--"
-"Homicide","80 to 84","South Dakota","Black","--","46","--"
-"Homicide","80 to 84","Tennessee","White","--","121,913","--"
-"Homicide","80 to 84","Tennessee","Black","--","13,112","--"
-"Homicide","80 to 84","Texas","White","--","195,442","--"
-"Homicide","80 to 84","Texas","Black","--","25,778","--"
-"Homicide","80 to 84","Utah","White","--","43,033","--"
-"Homicide","80 to 84","Utah","Black","--","244","--"
-"Homicide","80 to 84","Vermont","White","--","14,773","--"
-"Homicide","80 to 84","Vermont","Black","--","42","--"
-"Homicide","80 to 84","Virginia","White","--","132,958","--"
-"Homicide","80 to 84","Virginia","Black","--","24,572","--"
-"Homicide","80 to 84","Washington","White","--","124,773","--"
-"Homicide","80 to 84","Washington","Black","--","2,729","--"
-"Homicide","80 to 84","West Virginia","White","--","41,184","--"
-"Homicide","80 to 84","West Virginia","Black","--","860","--"
-"Homicide","80 to 84","Wisconsin","White","--","116,662","--"
-"Homicide","80 to 84","Wisconsin","Black","--","3,319","--"
-"Homicide","80 to 84","Wyoming","White","--","10,891","--"
-"Homicide","80 to 84","Wyoming","Black","--","49","--"
-"Homicide","85+","Alabama","White","--","74,889","--"
-"Homicide","85+","Alabama","Black","--","16,119","--"
-"Homicide","85+","Alaska","White","--","5,494","--"
-"Homicide","85+","Alaska","Black","--","172","--"
-"Homicide","85+","Arizona","White","--","138,656","--"
-"Homicide","85+","Arizona","Black","--","3,153","--"
-"Homicide","85+","Arkansas","White","--","51,588","--"
-"Homicide","85+","Arkansas","Black","--","4,957","--"
-"Homicide","85+","California","White","--","375,374","--"
-"Homicide","85+","California","Black","--","25,723","--"
-"Homicide","85+","Colorado","White","--","83,500","--"
-"Homicide","85+","Colorado","Black","--","2,256","--"
-"Homicide","85+","Connecticut","White","--","73,251","--"
-"Homicide","85+","Connecticut","Black","--","4,771","--"
-"Homicide","85+","Delaware","White","--","16,632","--"
-"Homicide","85+","Delaware","Black","--","2,681","--"
-"Homicide","85+","District of Columbia","White","--","4,491","--"
-"Homicide","85+","District of Columbia","Black","--","6,152","--"
-"Homicide","85+","Florida","White","--","381,603","--"
-"Homicide","85+","Florida","Black","--","32,353","--"
-"Homicide","85+","Georgia","White","--","116,451","--"
-"Homicide","85+","Georgia","Black","--","31,876","--"
-"Homicide","85+","Hawaii","White","--","8,280","--"
-"Homicide","85+","Hawaii","Black","--","204","--"
-"Homicide","85+","Idaho","White","--","30,197","--"
-"Homicide","85+","Idaho","Black","--","71","--"
-"Homicide","85+","Illinois","White","--","215,666","--"
-"Homicide","85+","Illinois","Black","--","27,388","--"
-"Homicide","85+","Indiana","White","--","117,409","--"
-"Homicide","85+","Indiana","Black","--","6,727","--"
-"Homicide","85+","Iowa","White","--","74,664","--"
-"Homicide","85+","Iowa","Black","--","627","--"
-"Homicide","85+","Kansas","White","--","57,732","--"
-"Homicide","85+","Kansas","Black","--","1,872","--"
-"Homicide","85+","Kentucky","White","--","72,950","--"
-"Homicide","85+","Kentucky","Black","--","4,037","--"
-"Homicide","85+","Louisiana","White","--","59,282","--"
-"Homicide","85+","Louisiana","Black","--","16,910","--"
-"Homicide","85+","Maine","White","--","32,771","--"
-"Homicide","85+","Maine","Black","--","163","--"
-"Homicide","85+","Maryland","White","--","86,120","--"
-"Homicide","85+","Maryland","Black","--","25,536","--"
-"Homicide","85+","Massachusetts","White","--","136,401","--"
-"Homicide","85+","Massachusetts","Black","--","6,846","--"
-"Homicide","85+","Michigan","White","--","174,193","--"
-"Homicide","85+","Michigan","Black","--","18,886","--"
-"Homicide","85+","Minnesota","White","--","116,597","--"
-"Homicide","85+","Minnesota","Black","--","1,982","--"
-"Homicide","85+","Mississippi","White","--","38,975","--"
-"Homicide","85+","Mississippi","Black","--","11,845","--"
-"Homicide","85+","Missouri","White","--","115,067","--"
-"Homicide","85+","Missouri","Black","--","8,621","--"
-"Homicide","85+","Montana","White","--","21,673","--"
-"Homicide","85+","Montana","Black","--","35","--"
-"Homicide","85+","Nebraska","White","--","39,212","--"
-"Homicide","85+","Nebraska","Black","--","747","--"
-"Homicide","85+","Nevada","White","--","37,663","--"
-"Homicide","85+","Nevada","Black","--","2,916","--"
-"Homicide","85+","New Hampshire","White","--","29,437","--"
-"Homicide","85+","New Hampshire","Black","--","126","--"
-"Homicide","85+","New Jersey","White","--","163,370","--"
-"Homicide","85+","New Jersey","Black","--","18,968","--"
-"Homicide","85+","New Mexico","White","--","36,506","--"
-"Homicide","85+","New Mexico","Black","--","567","--"
-"Homicide","85+","New York","White","--","357,100","--"
-"Homicide","85+","New York","Black","--","58,879","--"
-"Homicide","85+","North Carolina","White","--","153,825","--"
-"Homicide","85+","North Carolina","Black","--","27,478","--"
-"Homicide","85+","North Dakota","White","--","17,891","--"
-"Homicide","85+","North Dakota","Black","--","35","--"
-"Homicide","85+","Ohio","White","--","214,237","--"
-"Homicide","85+","Ohio","Black","--","21,021","--"
-"Homicide","85+","Oklahoma","White","--","62,111","--"
-"Homicide","85+","Oklahoma","Black","--","2,781","--"
-"Homicide","85+","Oregon","White","--","77,219","--"
-"Homicide","85+","Oregon","Black","--","755","--"
-"Homicide","85+","Pennsylvania","White","--","283,200","--"
-"Homicide","85+","Pennsylvania","Black","--","19,606","--"
-"Homicide","85+","Rhode Island","White","--","24,191","--"
-"Homicide","85+","Rhode Island","Black","--","1,124","--"
-"Homicide","85+","South Carolina","White","--","74,055","--"
-"Homicide","85+","South Carolina","Black","--","16,459","--"
-"Homicide","85+","South Dakota","White","--","19,141","--"
-"Homicide","85+","South Dakota","Black","--","36","--"
-"Homicide","85+","Tennessee","White","--","104,678","--"
-"Homicide","85+","Tennessee","Black","--","11,564","--"
-"Homicide","85+","Texas","White","--","180,669","--"
-"Homicide","85+","Texas","Black","--","21,581","--"
-"Homicide","85+","Utah","White","--","37,176","--"
-"Homicide","85+","Utah","Black","--","180","--"
-"Homicide","85+","Vermont","White","--","14,067","--"
-"Homicide","85+","Vermont","Black","--","60","--"
-"Homicide","85+","Virginia","White","--","124,985","--"
-"Homicide","85+","Virginia","Black","--","21,837","--"
-"Homicide","85+","Washington","White","--","118,907","--"
-"Homicide","85+","Washington","Black","--","2,387","--"
-"Homicide","85+","West Virginia","White","--","37,099","--"
-"Homicide","85+","West Virginia","Black","--","789","--"
-"Homicide","85+","Wisconsin","White","--","117,313","--"
-"Homicide","85+","Wisconsin","Black","--","2,800","--"
-"Homicide","85+","Wyoming","White","--","10,036","--"
-"Homicide","85+","Wyoming","Black","--","59","--"
-"Homicide","Unknown","Alabama","White","-","-","-"
-"Homicide","Unknown","Alabama","Black","-","-","-"
-"Homicide","Unknown","Alaska","White","-","-","-"
-"Homicide","Unknown","Alaska","Black","-","-","-"
-"Homicide","Unknown","Arizona","White","-","-","-"
-"Homicide","Unknown","Arizona","Black","-","-","-"
-"Homicide","Unknown","Arkansas","White","-","-","-"
-"Homicide","Unknown","Arkansas","Black","-","-","-"
-"Homicide","Unknown","California","White","-","-","-"
-"Homicide","Unknown","California","Black","-","-","-"
-"Homicide","Unknown","Colorado","White","-","-","-"
-"Homicide","Unknown","Colorado","Black","-","-","-"
-"Homicide","Unknown","Connecticut","White","-","-","-"
-"Homicide","Unknown","Connecticut","Black","-","-","-"
-"Homicide","Unknown","Delaware","White","-","-","-"
-"Homicide","Unknown","Delaware","Black","-","-","-"
-"Homicide","Unknown","District of Columbia","White","-","-","-"
-"Homicide","Unknown","District of Columbia","Black","-","-","-"
-"Homicide","Unknown","Florida","White","-","-","-"
-"Homicide","Unknown","Florida","Black","-","-","-"
-"Homicide","Unknown","Georgia","White","-","-","-"
-"Homicide","Unknown","Georgia","Black","-","-","-"
-"Homicide","Unknown","Hawaii","White","-","-","-"
-"Homicide","Unknown","Hawaii","Black","-","-","-"
-"Homicide","Unknown","Idaho","White","-","-","-"
-"Homicide","Unknown","Idaho","Black","-","-","-"
-"Homicide","Unknown","Illinois","White","-","-","-"
-"Homicide","Unknown","Illinois","Black","-","-","-"
-"Homicide","Unknown","Indiana","White","-","-","-"
-"Homicide","Unknown","Indiana","Black","-","-","-"
-"Homicide","Unknown","Iowa","White","-","-","-"
-"Homicide","Unknown","Iowa","Black","-","-","-"
-"Homicide","Unknown","Kansas","White","-","-","-"
-"Homicide","Unknown","Kansas","Black","-","-","-"
-"Homicide","Unknown","Kentucky","White","-","-","-"
-"Homicide","Unknown","Kentucky","Black","-","-","-"
-"Homicide","Unknown","Louisiana","White","-","-","-"
-"Homicide","Unknown","Louisiana","Black","-","-","-"
-"Homicide","Unknown","Maine","White","-","-","-"
-"Homicide","Unknown","Maine","Black","-","-","-"
-"Homicide","Unknown","Maryland","White","-","-","-"
-"Homicide","Unknown","Maryland","Black","-","-","-"
-"Homicide","Unknown","Massachusetts","White","-","-","-"
-"Homicide","Unknown","Massachusetts","Black","-","-","-"
-"Homicide","Unknown","Michigan","White","-","-","-"
-"Homicide","Unknown","Michigan","Black","-","-","-"
-"Homicide","Unknown","Minnesota","White","-","-","-"
-"Homicide","Unknown","Minnesota","Black","-","-","-"
-"Homicide","Unknown","Mississippi","White","-","-","-"
-"Homicide","Unknown","Mississippi","Black","-","-","-"
-"Homicide","Unknown","Missouri","White","-","-","-"
-"Homicide","Unknown","Missouri","Black","-","-","-"
-"Homicide","Unknown","Montana","White","-","-","-"
-"Homicide","Unknown","Montana","Black","-","-","-"
-"Homicide","Unknown","Nebraska","White","-","-","-"
-"Homicide","Unknown","Nebraska","Black","-","-","-"
-"Homicide","Unknown","Nevada","White","-","-","-"
-"Homicide","Unknown","Nevada","Black","-","-","-"
-"Homicide","Unknown","New Hampshire","White","-","-","-"
-"Homicide","Unknown","New Hampshire","Black","-","-","-"
-"Homicide","Unknown","New Jersey","White","-","-","-"
-"Homicide","Unknown","New Jersey","Black","-","-","-"
-"Homicide","Unknown","New Mexico","White","-","-","-"
-"Homicide","Unknown","New Mexico","Black","-","-","-"
-"Homicide","Unknown","New York","White","-","-","-"
-"Homicide","Unknown","New York","Black","-","-","-"
-"Homicide","Unknown","North Carolina","White","-","-","-"
-"Homicide","Unknown","North Carolina","Black","-","-","-"
-"Homicide","Unknown","North Dakota","White","-","-","-"
-"Homicide","Unknown","North Dakota","Black","-","-","-"
-"Homicide","Unknown","Ohio","White","-","-","-"
-"Homicide","Unknown","Ohio","Black","-","-","-"
-"Homicide","Unknown","Oklahoma","White","-","-","-"
-"Homicide","Unknown","Oklahoma","Black","-","-","-"
-"Homicide","Unknown","Oregon","White","-","-","-"
-"Homicide","Unknown","Oregon","Black","-","-","-"
-"Homicide","Unknown","Pennsylvania","White","-","-","-"
-"Homicide","Unknown","Pennsylvania","Black","-","-","-"
-"Homicide","Unknown","Rhode Island","White","-","-","-"
-"Homicide","Unknown","Rhode Island","Black","-","-","-"
-"Homicide","Unknown","South Carolina","White","-","-","-"
-"Homicide","Unknown","South Carolina","Black","-","-","-"
-"Homicide","Unknown","South Dakota","White","-","-","-"
-"Homicide","Unknown","South Dakota","Black","-","-","-"
-"Homicide","Unknown","Tennessee","White","-","-","-"
-"Homicide","Unknown","Tennessee","Black","-","-","-"
-"Homicide","Unknown","Texas","White","-","-","-"
-"Homicide","Unknown","Texas","Black","-","-","-"
-"Homicide","Unknown","Utah","White","-","-","-"
-"Homicide","Unknown","Utah","Black","-","-","-"
-"Homicide","Unknown","Vermont","White","-","-","-"
-"Homicide","Unknown","Vermont","Black","-","-","-"
-"Homicide","Unknown","Virginia","White","-","-","-"
-"Homicide","Unknown","Virginia","Black","-","-","-"
-"Homicide","Unknown","Washington","White","-","-","-"
-"Homicide","Unknown","Washington","Black","-","-","-"
-"Homicide","Unknown","West Virginia","White","-","-","-"
-"Homicide","Unknown","West Virginia","Black","-","-","-"
-"Homicide","Unknown","Wisconsin","White","-","-","-"
-"Homicide","Unknown","Wisconsin","Black","-","-","-"
-"Homicide","Unknown","Wyoming","White","-","-","-"
-"Homicide","Unknown","Wyoming","Black","-","-","-"
-"Undetermined Intent","0 to 4","Alabama","White","--","180,341","--"
-"Undetermined Intent","0 to 4","Alabama","Black","--","89,099","--"
-"Undetermined Intent","0 to 4","Alaska","White","--","23,352","--"
-"Undetermined Intent","0 to 4","Alaska","Black","--","1,810","--"
-"Undetermined Intent","0 to 4","Arizona","White","--","296,789","--"
-"Undetermined Intent","0 to 4","Arizona","Black","--","27,145","--"
-"Undetermined Intent","0 to 4","Arkansas","White","--","127,187","--"
-"Undetermined Intent","0 to 4","Arkansas","Black","--","35,259","--"
-"Undetermined Intent","0 to 4","California","White","--","918,284","--"
-"Undetermined Intent","0 to 4","California","Black","--","84,896","--"
-"Undetermined Intent","0 to 4","Colorado","White","--","241,393","--"
-"Undetermined Intent","0 to 4","Colorado","Black","--","20,295","--"
-"Undetermined Intent","0 to 4","Connecticut","White","--","124,676","--"
-"Undetermined Intent","0 to 4","Connecticut","Black","--","30,095","--"
-"Undetermined Intent","0 to 4","Delaware","White","--","30,969","--"
-"Undetermined Intent","0 to 4","Delaware","Black","--","15,323","--"
-"Undetermined Intent","0 to 4","District of Columbia","White","--","15,627","--"
-"Undetermined Intent","0 to 4","District of Columbia","Black","--","18,658","--"
-"Undetermined Intent","0 to 4","Florida","White","--","533,690","--"
-"Undetermined Intent","0 to 4","Florida","Black","--","178,163","--"
-"Undetermined Intent","0 to 4","Georgia","White","--","335,064","--"
-"Undetermined Intent","0 to 4","Georgia","Black","--","227,140","--"
-"Undetermined Intent","0 to 4","Hawaii","White","--","15,012","--"
-"Undetermined Intent","0 to 4","Hawaii","Black","--","1,896","--"
-"Undetermined Intent","0 to 4","Idaho","White","--","100,323","--"
-"Undetermined Intent","0 to 4","Idaho","Black","--","1,752","--"
-"Undetermined Intent","0 to 4","Illinois","White","--","481,889","--"
-"Undetermined Intent","0 to 4","Illinois","Black","--","116,710","--"
-"Undetermined Intent","0 to 4","Indiana","White","15**","313,669","4.78"
-"Undetermined Intent","0 to 4","Indiana","Black","10**","53,660","18.64"
-"Undetermined Intent","0 to 4","Iowa","White","--","154,058","--"
-"Undetermined Intent","0 to 4","Iowa","Black","--","13,703","--"
-"Undetermined Intent","0 to 4","Kansas","White","--","141,473","--"
-"Undetermined Intent","0 to 4","Kansas","Black","--","13,238","--"
-"Undetermined Intent","0 to 4","Kentucky","White","--","213,657","--"
-"Undetermined Intent","0 to 4","Kentucky","Black","--","27,248","--"
-"Undetermined Intent","0 to 4","Louisiana","White","--","153,492","--"
-"Undetermined Intent","0 to 4","Louisiana","Black","--","106,289","--"
-"Undetermined Intent","0 to 4","Maine","White","--","54,442","--"
-"Undetermined Intent","0 to 4","Maine","Black","--","2,822","--"
-"Undetermined Intent","0 to 4","Maryland","White","--","181,975","--"
-"Undetermined Intent","0 to 4","Maryland","Black","--","113,480","--"
-"Undetermined Intent","0 to 4","Massachusetts","White","--","236,165","--"
-"Undetermined Intent","0 to 4","Massachusetts","Black","--","52,496","--"
-"Undetermined Intent","0 to 4","Michigan","White","22","380,098","5.79"
-"Undetermined Intent","0 to 4","Michigan","Black","12**","98,116","12.23"
-"Undetermined Intent","0 to 4","Minnesota","White","--","237,344","--"
-"Undetermined Intent","0 to 4","Minnesota","Black","--","40,249","--"
-"Undetermined Intent","0 to 4","Mississippi","White","--","89,424","--"
-"Undetermined Intent","0 to 4","Mississippi","Black","--","75,092","--"
-"Undetermined Intent","0 to 4","Missouri","White","--","266,780","--"
-"Undetermined Intent","0 to 4","Missouri","Black","--","52,085","--"
-"Undetermined Intent","0 to 4","Montana","White","--","47,093","--"
-"Undetermined Intent","0 to 4","Montana","Black","--","490","--"
-"Undetermined Intent","0 to 4","Nebraska","White","--","99,031","--"
-"Undetermined Intent","0 to 4","Nebraska","Black","--","9,179","--"
-"Undetermined Intent","0 to 4","Nevada","White","--","109,375","--"
-"Undetermined Intent","0 to 4","Nevada","Black","--","25,766","--"
-"Undetermined Intent","0 to 4","New Hampshire","White","--","55,451","--"
-"Undetermined Intent","0 to 4","New Hampshire","Black","--","2,002","--"
-"Undetermined Intent","0 to 4","New Jersey","White","--","332,263","--"
-"Undetermined Intent","0 to 4","New Jersey","Black","--","94,492","--"
-"Undetermined Intent","0 to 4","New Mexico","White","--","81,687","--"
-"Undetermined Intent","0 to 4","New Mexico","Black","--","3,549","--"
-"Undetermined Intent","0 to 4","New York","White","--","657,477","--"
-"Undetermined Intent","0 to 4","New York","Black","--","219,142","--"
-"Undetermined Intent","0 to 4","North Carolina","White","--","365,980","--"
-"Undetermined Intent","0 to 4","North Carolina","Black","--","151,185","--"
-"Undetermined Intent","0 to 4","North Dakota","White","--","37,635","--"
-"Undetermined Intent","0 to 4","North Dakota","Black","--","3,388","--"
-"Undetermined Intent","0 to 4","Ohio","White","--","482,242","--"
-"Undetermined Intent","0 to 4","Ohio","Black","--","112,281","--"
-"Undetermined Intent","0 to 4","Oklahoma","White","--","149,184","--"
-"Undetermined Intent","0 to 4","Oklahoma","Black","--","23,449","--"
-"Undetermined Intent","0 to 4","Oregon","White","--","161,587","--"
-"Undetermined Intent","0 to 4","Oregon","Black","--","6,167","--"
-"Undetermined Intent","0 to 4","Pennsylvania","White","--","482,785","--"
-"Undetermined Intent","0 to 4","Pennsylvania","Black","--","108,552","--"
-"Undetermined Intent","0 to 4","Rhode Island","White","--","37,347","--"
-"Undetermined Intent","0 to 4","Rhode Island","Black","--","7,223","--"
-"Undetermined Intent","0 to 4","South Carolina","White","--","174,248","--"
-"Undetermined Intent","0 to 4","South Carolina","Black","--","86,126","--"
-"Undetermined Intent","0 to 4","South Dakota","White","--","42,132","--"
-"Undetermined Intent","0 to 4","South Dakota","Black","--","2,414","--"
-"Undetermined Intent","0 to 4","Tennessee","White","--","288,863","--"
-"Undetermined Intent","0 to 4","Tennessee","Black","--","81,357","--"
-"Undetermined Intent","0 to 4","Texas","White","--","822,522","--"
-"Undetermined Intent","0 to 4","Texas","Black","--","215,347","--"
-"Undetermined Intent","0 to 4","Utah","White","--","199,577","--"
-"Undetermined Intent","0 to 4","Utah","Black","--","4,364","--"
-"Undetermined Intent","0 to 4","Vermont","White","--","24,870","--"
-"Undetermined Intent","0 to 4","Vermont","Black","--","651","--"
-"Undetermined Intent","0 to 4","Virginia","White","--","303,460","--"
-"Undetermined Intent","0 to 4","Virginia","Black","--","108,228","--"
-"Undetermined Intent","0 to 4","Washington","White","--","287,699","--"
-"Undetermined Intent","0 to 4","Washington","Black","--","24,308","--"
-"Undetermined Intent","0 to 4","West Virginia","White","--","78,223","--"
-"Undetermined Intent","0 to 4","West Virginia","Black","--","3,606","--"
-"Undetermined Intent","0 to 4","Wisconsin","White","--","242,169","--"
-"Undetermined Intent","0 to 4","Wisconsin","Black","--","32,763","--"
-"Undetermined Intent","0 to 4","Wyoming","White","--","27,196","--"
-"Undetermined Intent","0 to 4","Wyoming","Black","--","489","--"
-"Undetermined Intent","5 to 9","Alabama","White","--","195,845","--"
-"Undetermined Intent","5 to 9","Alabama","Black","--","88,383","--"
-"Undetermined Intent","5 to 9","Alaska","White","--","26,339","--"
-"Undetermined Intent","5 to 9","Alaska","Black","--","1,903","--"
-"Undetermined Intent","5 to 9","Arizona","White","--","329,307","--"
-"Undetermined Intent","5 to 9","Arizona","Black","--","30,234","--"
-"Undetermined Intent","5 to 9","Arkansas","White","--","139,243","--"
-"Undetermined Intent","5 to 9","Arkansas","Black","--","34,774","--"
-"Undetermined Intent","5 to 9","California","White","--","1,021,998","--"
-"Undetermined Intent","5 to 9","California","Black","--","85,783","--"
-"Undetermined Intent","5 to 9","Colorado","White","--","268,503","--"
-"Undetermined Intent","5 to 9","Colorado","Black","--","18,706","--"
-"Undetermined Intent","5 to 9","Connecticut","White","--","140,462","--"
-"Undetermined Intent","5 to 9","Connecticut","Black","--","29,507","--"
-"Undetermined Intent","5 to 9","Delaware","White","--","33,312","--"
-"Undetermined Intent","5 to 9","Delaware","Black","--","16,117","--"
-"Undetermined Intent","5 to 9","District of Columbia","White","--","12,913","--"
-"Undetermined Intent","5 to 9","District of Columbia","Black","--","20,234","--"
-"Undetermined Intent","5 to 9","Florida","White","--","568,242","--"
-"Undetermined Intent","5 to 9","Florida","Black","--","194,715","--"
-"Undetermined Intent","5 to 9","Georgia","White","--","366,117","--"
-"Undetermined Intent","5 to 9","Georgia","Black","--","241,878","--"
-"Undetermined Intent","5 to 9","Hawaii","White","--","16,226","--"
-"Undetermined Intent","5 to 9","Hawaii","Black","--","1,849","--"
-"Undetermined Intent","5 to 9","Idaho","White","--","114,789","--"
-"Undetermined Intent","5 to 9","Idaho","Black","--","1,484","--"
-"Undetermined Intent","5 to 9","Illinois","White","--","536,488","--"
-"Undetermined Intent","5 to 9","Illinois","Black","--","124,564","--"
-"Undetermined Intent","5 to 9","Indiana","White","--","339,678","--"
-"Undetermined Intent","5 to 9","Indiana","Black","--","54,854","--"
-"Undetermined Intent","5 to 9","Iowa","White","--","168,273","--"
-"Undetermined Intent","5 to 9","Iowa","Black","--","12,952","--"
-"Undetermined Intent","5 to 9","Kansas","White","--","156,022","--"
-"Undetermined Intent","5 to 9","Kansas","Black","--","13,212","--"
-"Undetermined Intent","5 to 9","Kentucky","White","--","228,872","--"
-"Undetermined Intent","5 to 9","Kentucky","Black","--","26,767","--"
-"Undetermined Intent","5 to 9","Louisiana","White","--","166,006","--"
-"Undetermined Intent","5 to 9","Louisiana","Black","--","108,466","--"
-"Undetermined Intent","5 to 9","Maine","White","--","60,618","--"
-"Undetermined Intent","5 to 9","Maine","Black","--","2,375","--"
-"Undetermined Intent","5 to 9","Maryland","White","--","194,022","--"
-"Undetermined Intent","5 to 9","Maryland","Black","--","121,062","--"
-"Undetermined Intent","5 to 9","Massachusetts","White","--","260,644","--"
-"Undetermined Intent","5 to 9","Massachusetts","Black","--","46,792","--"
-"Undetermined Intent","5 to 9","Michigan","White","--","420,464","--"
-"Undetermined Intent","5 to 9","Michigan","Black","--","100,527","--"
-"Undetermined Intent","5 to 9","Minnesota","White","--","260,924","--"
-"Undetermined Intent","5 to 9","Minnesota","Black","--","43,820","--"
-"Undetermined Intent","5 to 9","Mississippi","White","--","97,202","--"
-"Undetermined Intent","5 to 9","Mississippi","Black","--","74,257","--"
-"Undetermined Intent","5 to 9","Missouri","White","--","288,933","--"
-"Undetermined Intent","5 to 9","Missouri","Black","--","52,583","--"
-"Undetermined Intent","5 to 9","Montana","White","--","53,642","--"
-"Undetermined Intent","5 to 9","Montana","Black","--","506","--"
-"Undetermined Intent","5 to 9","Nebraska","White","--","107,959","--"
-"Undetermined Intent","5 to 9","Nebraska","Black","--","9,337","--"
-"Undetermined Intent","5 to 9","Nevada","White","--","125,774","--"
-"Undetermined Intent","5 to 9","Nevada","Black","--","25,726","--"
-"Undetermined Intent","5 to 9","New Hampshire","White","--","60,463","--"
-"Undetermined Intent","5 to 9","New Hampshire","Black","--","1,950","--"
-"Undetermined Intent","5 to 9","New Jersey","White","--","355,366","--"
-"Undetermined Intent","5 to 9","New Jersey","Black","--","94,868","--"
-"Undetermined Intent","5 to 9","New Mexico","White","--","92,171","--"
-"Undetermined Intent","5 to 9","New Mexico","Black","--","3,999","--"
-"Undetermined Intent","5 to 9","New York","White","--","706,845","--"
-"Undetermined Intent","5 to 9","New York","Black","--","207,675","--"
-"Undetermined Intent","5 to 9","North Carolina","White","--","389,028","--"
-"Undetermined Intent","5 to 9","North Carolina","Black","--","152,837","--"
-"Undetermined Intent","5 to 9","North Dakota","White","--","41,662","--"
-"Undetermined Intent","5 to 9","North Dakota","Black","--","2,647","--"
-"Undetermined Intent","5 to 9","Ohio","White","--","522,622","--"
-"Undetermined Intent","5 to 9","Ohio","Black","--","118,216","--"
-"Undetermined Intent","5 to 9","Oklahoma","White","--","170,292","--"
-"Undetermined Intent","5 to 9","Oklahoma","Black","--","22,416","--"
-"Undetermined Intent","5 to 9","Oregon","White","--","186,810","--"
-"Undetermined Intent","5 to 9","Oregon","Black","--","6,815","--"
-"Undetermined Intent","5 to 9","Pennsylvania","White","--","524,297","--"
-"Undetermined Intent","5 to 9","Pennsylvania","Black","--","115,368","--"
-"Undetermined Intent","5 to 9","Rhode Island","White","--","40,792","--"
-"Undetermined Intent","5 to 9","Rhode Island","Black","--","7,127","--"
-"Undetermined Intent","5 to 9","South Carolina","White","--","191,092","--"
-"Undetermined Intent","5 to 9","South Carolina","Black","--","88,438","--"
-"Undetermined Intent","5 to 9","South Dakota","White","--","45,215","--"
-"Undetermined Intent","5 to 9","South Dakota","Black","--","2,304","--"
-"Undetermined Intent","5 to 9","Tennessee","White","--","304,096","--"
-"Undetermined Intent","5 to 9","Tennessee","Black","--","82,016","--"
-"Undetermined Intent","5 to 9","Texas","White","--","907,424","--"
-"Undetermined Intent","5 to 9","Texas","Black","--","222,505","--"
-"Undetermined Intent","5 to 9","Utah","White","--","225,081","--"
-"Undetermined Intent","5 to 9","Utah","Black","--","4,156","--"
-"Undetermined Intent","5 to 9","Vermont","White","--","28,735","--"
-"Undetermined Intent","5 to 9","Vermont","Black","--","626","--"
-"Undetermined Intent","5 to 9","Virginia","White","--","326,955","--"
-"Undetermined Intent","5 to 9","Virginia","Black","--","109,021","--"
-"Undetermined Intent","5 to 9","Washington","White","--","323,165","--"
-"Undetermined Intent","5 to 9","Washington","Black","--","24,468","--"
-"Undetermined Intent","5 to 9","West Virginia","White","--","86,725","--"
-"Undetermined Intent","5 to 9","West Virginia","Black","--","3,819","--"
-"Undetermined Intent","5 to 9","Wisconsin","White","--","265,474","--"
-"Undetermined Intent","5 to 9","Wisconsin","Black","--","33,227","--"
-"Undetermined Intent","5 to 9","Wyoming","White","--","31,456","--"
-"Undetermined Intent","5 to 9","Wyoming","Black","--","531","--"
-"Undetermined Intent","10 to 14","Alabama","White","--","205,964","--"
-"Undetermined Intent","10 to 14","Alabama","Black","--","93,054","--"
-"Undetermined Intent","10 to 14","Alaska","White","--","26,801","--"
-"Undetermined Intent","10 to 14","Alaska","Black","--","1,591","--"
-"Undetermined Intent","10 to 14","Arizona","White","--","353,118","--"
-"Undetermined Intent","10 to 14","Arizona","Black","--","31,062","--"
-"Undetermined Intent","10 to 14","Arkansas","White","--","148,612","--"
-"Undetermined Intent","10 to 14","Arkansas","Black","--","35,517","--"
-"Undetermined Intent","10 to 14","California","White","--","1,102,895","--"
-"Undetermined Intent","10 to 14","California","Black","--","96,818","--"
-"Undetermined Intent","10 to 14","Colorado","White","--","291,916","--"
-"Undetermined Intent","10 to 14","Colorado","Black","--","18,698","--"
-"Undetermined Intent","10 to 14","Connecticut","White","--","154,152","--"
-"Undetermined Intent","10 to 14","Connecticut","Black","--","33,262","--"
-"Undetermined Intent","10 to 14","Delaware","White","--","35,578","--"
-"Undetermined Intent","10 to 14","Delaware","Black","--","17,464","--"
-"Undetermined Intent","10 to 14","District of Columbia","White","--","10,030","--"
-"Undetermined Intent","10 to 14","District of Columbia","Black","--","19,064","--"
-"Undetermined Intent","10 to 14","Florida","White","--","595,866","--"
-"Undetermined Intent","10 to 14","Florida","Black","--","199,412","--"
-"Undetermined Intent","10 to 14","Georgia","White","--","395,408","--"
-"Undetermined Intent","10 to 14","Georgia","Black","--","263,115","--"
-"Undetermined Intent","10 to 14","Hawaii","White","--","14,561","--"
-"Undetermined Intent","10 to 14","Hawaii","Black","--","1,541","--"
-"Undetermined Intent","10 to 14","Idaho","White","--","124,404","--"
-"Undetermined Intent","10 to 14","Idaho","Black","--","1,458","--"
-"Undetermined Intent","10 to 14","Illinois","White","--","577,295","--"
-"Undetermined Intent","10 to 14","Illinois","Black","--","126,689","--"
-"Undetermined Intent","10 to 14","Indiana","White","--","357,385","--"
-"Undetermined Intent","10 to 14","Indiana","Black","--","54,651","--"
-"Undetermined Intent","10 to 14","Iowa","White","--","177,987","--"
-"Undetermined Intent","10 to 14","Iowa","Black","--","12,077","--"
-"Undetermined Intent","10 to 14","Kansas","White","--","165,715","--"
-"Undetermined Intent","10 to 14","Kansas","Black","--","13,457","--"
-"Undetermined Intent","10 to 14","Kentucky","White","--","237,204","--"
-"Undetermined Intent","10 to 14","Kentucky","Black","--","28,434","--"
-"Undetermined Intent","10 to 14","Louisiana","White","--","169,790","--"
-"Undetermined Intent","10 to 14","Louisiana","Black","--","111,703","--"
-"Undetermined Intent","10 to 14","Maine","White","--","64,831","--"
-"Undetermined Intent","10 to 14","Maine","Black","--","2,340","--"
-"Undetermined Intent","10 to 14","Maryland","White","--","202,753","--"
-"Undetermined Intent","10 to 14","Maryland","Black","--","128,496","--"
-"Undetermined Intent","10 to 14","Massachusetts","White","--","283,173","--"
-"Undetermined Intent","10 to 14","Massachusetts","Black","--","46,221","--"
-"Undetermined Intent","10 to 14","Michigan","White","--","444,727","--"
-"Undetermined Intent","10 to 14","Michigan","Black","--","100,325","--"
-"Undetermined Intent","10 to 14","Minnesota","White","--","276,061","--"
-"Undetermined Intent","10 to 14","Minnesota","Black","--","41,186","--"
-"Undetermined Intent","10 to 14","Mississippi","White","--","105,118","--"
-"Undetermined Intent","10 to 14","Mississippi","Black","--","82,120","--"
-"Undetermined Intent","10 to 14","Missouri","White","--","305,546","--"
-"Undetermined Intent","10 to 14","Missouri","Black","--","53,259","--"
-"Undetermined Intent","10 to 14","Montana","White","--","56,230","--"
-"Undetermined Intent","10 to 14","Montana","Black","--","438","--"
-"Undetermined Intent","10 to 14","Nebraska","White","--","112,646","--"
-"Undetermined Intent","10 to 14","Nebraska","Black","--","8,930","--"
-"Undetermined Intent","10 to 14","Nevada","White","--","136,547","--"
-"Undetermined Intent","10 to 14","Nevada","Black","--","25,485","--"
-"Undetermined Intent","10 to 14","New Hampshire","White","--","65,676","--"
-"Undetermined Intent","10 to 14","New Hampshire","Black","--","2,061","--"
-"Undetermined Intent","10 to 14","New Jersey","White","--","381,256","--"
-"Undetermined Intent","10 to 14","New Jersey","Black","--","98,265","--"
-"Undetermined Intent","10 to 14","New Mexico","White","--","104,490","--"
-"Undetermined Intent","10 to 14","New Mexico","Black","--","4,199","--"
-"Undetermined Intent","10 to 14","New York","White","--","736,068","--"
-"Undetermined Intent","10 to 14","New York","Black","--","218,205","--"
-"Undetermined Intent","10 to 14","North Carolina","White","--","423,841","--"
-"Undetermined Intent","10 to 14","North Carolina","Black","--","160,799","--"
-"Undetermined Intent","10 to 14","North Dakota","White","--","40,919","--"
-"Undetermined Intent","10 to 14","North Dakota","Black","--","2,253","--"
-"Undetermined Intent","10 to 14","Ohio","White","--","549,428","--"
-"Undetermined Intent","10 to 14","Ohio","Black","--","118,355","--"
-"Undetermined Intent","10 to 14","Oklahoma","White","--","180,955","--"
-"Undetermined Intent","10 to 14","Oklahoma","Black","--","22,855","--"
-"Undetermined Intent","10 to 14","Oregon","White","--","202,209","--"
-"Undetermined Intent","10 to 14","Oregon","Black","--","6,843","--"
-"Undetermined Intent","10 to 14","Pennsylvania","White","--","560,126","--"
-"Undetermined Intent","10 to 14","Pennsylvania","Black","--","117,603","--"
-"Undetermined Intent","10 to 14","Rhode Island","White","--","43,330","--"
-"Undetermined Intent","10 to 14","Rhode Island","Black","--","6,969","--"
-"Undetermined Intent","10 to 14","South Carolina","White","--","203,026","--"
-"Undetermined Intent","10 to 14","South Carolina","Black","--","97,936","--"
-"Undetermined Intent","10 to 14","South Dakota","White","--","47,707","--"
-"Undetermined Intent","10 to 14","South Dakota","Black","--","2,201","--"
-"Undetermined Intent","10 to 14","Tennessee","White","--","321,100","--"
-"Undetermined Intent","10 to 14","Tennessee","Black","--","84,442","--"
-"Undetermined Intent","10 to 14","Texas","White","--","953,731","--"
-"Undetermined Intent","10 to 14","Texas","Black","--","225,425","--"
-"Undetermined Intent","10 to 14","Utah","White","--","242,316","--"
-"Undetermined Intent","10 to 14","Utah","Black","--","4,801","--"
-"Undetermined Intent","10 to 14","Vermont","White","--","30,733","--"
-"Undetermined Intent","10 to 14","Vermont","Black","--","679","--"
-"Undetermined Intent","10 to 14","Virginia","White","--","339,961","--"
-"Undetermined Intent","10 to 14","Virginia","Black","--","112,671","--"
-"Undetermined Intent","10 to 14","Washington","White","--","341,099","--"
-"Undetermined Intent","10 to 14","Washington","Black","--","24,373","--"
-"Undetermined Intent","10 to 14","West Virginia","White","--","93,037","--"
-"Undetermined Intent","10 to 14","West Virginia","Black","--","3,952","--"
-"Undetermined Intent","10 to 14","Wisconsin","White","--","290,509","--"
-"Undetermined Intent","10 to 14","Wisconsin","Black","--","33,235","--"
-"Undetermined Intent","10 to 14","Wyoming","White","--","34,722","--"
-"Undetermined Intent","10 to 14","Wyoming","Black","--","464","--"
-"Undetermined Intent","15 to 19","Alabama","White","--","216,880","--"
-"Undetermined Intent","15 to 19","Alabama","Black","--","99,145","--"
-"Undetermined Intent","15 to 19","Alaska","White","--","24,423","--"
-"Undetermined Intent","15 to 19","Alaska","Black","--","1,548","--"
-"Undetermined Intent","15 to 19","Arizona","White","--","380,121","--"
-"Undetermined Intent","15 to 19","Arizona","Black","--","30,510","--"
-"Undetermined Intent","15 to 19","Arkansas","White","--","152,386","--"
-"Undetermined Intent","15 to 19","Arkansas","Black","--","35,974","--"
-"Undetermined Intent","15 to 19","California","White","--","1,167,778","--"
-"Undetermined Intent","15 to 19","California","Black","--","101,244","--"
-"Undetermined Intent","15 to 19","Colorado","White","--","312,753","--"
-"Undetermined Intent","15 to 19","Colorado","Black","--","18,404","--"
-"Undetermined Intent","15 to 19","Connecticut","White","--","184,851","--"
-"Undetermined Intent","15 to 19","Connecticut","Black","--","35,466","--"
-"Undetermined Intent","15 to 19","Delaware","White","--","38,858","--"
-"Undetermined Intent","15 to 19","Delaware","Black","--","17,584","--"
-"Undetermined Intent","15 to 19","District of Columbia","White","--","14,978","--"
-"Undetermined Intent","15 to 19","District of Columbia","Black","--","18,189","--"
-"Undetermined Intent","15 to 19","Florida","White","--","637,159","--"
-"Undetermined Intent","15 to 19","Florida","Black","--","192,189","--"
-"Undetermined Intent","15 to 19","Georgia","White","--","421,291","--"
-"Undetermined Intent","15 to 19","Georgia","Black","--","264,705","--"
-"Undetermined Intent","15 to 19","Hawaii","White","--","13,445","--"
-"Undetermined Intent","15 to 19","Hawaii","Black","--","1,578","--"
-"Undetermined Intent","15 to 19","Idaho","White","--","134,012","--"
-"Undetermined Intent","15 to 19","Idaho","Black","--","1,700","--"
-"Undetermined Intent","15 to 19","Illinois","White","--","607,968","--"
-"Undetermined Intent","15 to 19","Illinois","Black","--","127,679","--"
-"Undetermined Intent","15 to 19","Indiana","White","--","373,693","--"
-"Undetermined Intent","15 to 19","Indiana","Black","--","53,292","--"
-"Undetermined Intent","15 to 19","Iowa","White","--","192,204","--"
-"Undetermined Intent","15 to 19","Iowa","Black","--","12,139","--"
-"Undetermined Intent","15 to 19","Kansas","White","--","170,880","--"
-"Undetermined Intent","15 to 19","Kansas","Black","--","14,109","--"
-"Undetermined Intent","15 to 19","Kentucky","White","--","239,149","--"
-"Undetermined Intent","15 to 19","Kentucky","Black","--","29,147","--"
-"Undetermined Intent","15 to 19","Louisiana","White","--","170,127","--"
-"Undetermined Intent","15 to 19","Louisiana","Black","--","113,544","--"
-"Undetermined Intent","15 to 19","Maine","White","--","70,821","--"
-"Undetermined Intent","15 to 19","Maine","Black","--","2,548","--"
-"Undetermined Intent","15 to 19","Maryland","White","--","210,916","--"
-"Undetermined Intent","15 to 19","Maryland","Black","--","125,876","--"
-"Undetermined Intent","15 to 19","Massachusetts","White","--","341,219","--"
-"Undetermined Intent","15 to 19","Massachusetts","Black","--","48,115","--"
-"Undetermined Intent","15 to 19","Michigan","White","--","478,165","--"
-"Undetermined Intent","15 to 19","Michigan","Black","--","97,777","--"
-"Undetermined Intent","15 to 19","Minnesota","White","--","286,376","--"
-"Undetermined Intent","15 to 19","Minnesota","Black","--","37,473","--"
-"Undetermined Intent","15 to 19","Mississippi","White","--","110,623","--"
-"Undetermined Intent","15 to 19","Mississippi","Black","--","87,150","--"
-"Undetermined Intent","15 to 19","Missouri","White","--","315,503","--"
-"Undetermined Intent","15 to 19","Missouri","Black","--","53,308","--"
-"Undetermined Intent","15 to 19","Montana","White","--","57,187","--"
-"Undetermined Intent","15 to 19","Montana","Black","--","548","--"
-"Undetermined Intent","15 to 19","Nebraska","White","--","116,148","--"
-"Undetermined Intent","15 to 19","Nebraska","Black","--","8,503","--"
-"Undetermined Intent","15 to 19","Nevada","White","--","134,472","--"
-"Undetermined Intent","15 to 19","Nevada","Black","--","22,771","--"
-"Undetermined Intent","15 to 19","New Hampshire","White","--","73,107","--"
-"Undetermined Intent","15 to 19","New Hampshire","Black","--","2,208","--"
-"Undetermined Intent","15 to 19","New Jersey","White","--","397,153","--"
-"Undetermined Intent","15 to 19","New Jersey","Black","--","94,125","--"
-"Undetermined Intent","15 to 19","New Mexico","White","--","111,651","--"
-"Undetermined Intent","15 to 19","New Mexico","Black","--","4,512","--"
-"Undetermined Intent","15 to 19","New York","White","--","803,732","--"
-"Undetermined Intent","15 to 19","New York","Black","--","220,809","--"
-"Undetermined Intent","15 to 19","North Carolina","White","--","465,152","--"
-"Undetermined Intent","15 to 19","North Carolina","Black","--","170,592","--"
-"Undetermined Intent","15 to 19","North Dakota","White","--","45,303","--"
-"Undetermined Intent","15 to 19","North Dakota","Black","--","1,865","--"
-"Undetermined Intent","15 to 19","Ohio","White","--","576,605","--"
-"Undetermined Intent","15 to 19","Ohio","Black","--","112,976","--"
-"Undetermined Intent","15 to 19","Oklahoma","White","--","186,174","--"
-"Undetermined Intent","15 to 19","Oklahoma","Black","--","24,525","--"
-"Undetermined Intent","15 to 19","Oregon","White","--","206,630","--"
-"Undetermined Intent","15 to 19","Oregon","Black","--","6,747","--"
-"Undetermined Intent","15 to 19","Pennsylvania","White","--","636,865","--"
-"Undetermined Intent","15 to 19","Pennsylvania","Black","--","118,367","--"
-"Undetermined Intent","15 to 19","Rhode Island","White","--","56,302","--"
-"Undetermined Intent","15 to 19","Rhode Island","Black","--","7,483","--"
-"Undetermined Intent","15 to 19","South Carolina","White","--","218,694","--"
-"Undetermined Intent","15 to 19","South Carolina","Black","--","101,172","--"
-"Undetermined Intent","15 to 19","South Dakota","White","--","48,128","--"
-"Undetermined Intent","15 to 19","South Dakota","Black","--","1,726","--"
-"Undetermined Intent","15 to 19","Tennessee","White","--","328,074","--"
-"Undetermined Intent","15 to 19","Tennessee","Black","--","83,100","--"
-"Undetermined Intent","15 to 19","Texas","White","--","959,510","--"
-"Undetermined Intent","15 to 19","Texas","Black","--","215,566","--"
-"Undetermined Intent","15 to 19","Utah","White","--","245,060","--"
-"Undetermined Intent","15 to 19","Utah","Black","--","4,625","--"
-"Undetermined Intent","15 to 19","Vermont","White","--","37,526","--"
-"Undetermined Intent","15 to 19","Vermont","Black","--","899","--"
-"Undetermined Intent","15 to 19","Virginia","White","--","362,797","--"
-"Undetermined Intent","15 to 19","Virginia","Black","--","118,104","--"
-"Undetermined Intent","15 to 19","Washington","White","--","338,086","--"
-"Undetermined Intent","15 to 19","Washington","Black","--","22,579","--"
-"Undetermined Intent","15 to 19","West Virginia","White","--","97,496","--"
-"Undetermined Intent","15 to 19","West Virginia","Black","--","4,849","--"
-"Undetermined Intent","15 to 19","Wisconsin","White","--","315,281","--"
-"Undetermined Intent","15 to 19","Wisconsin","Black","--","31,838","--"
-"Undetermined Intent","15 to 19","Wyoming","White","--","35,452","--"
-"Undetermined Intent","15 to 19","Wyoming","Black","--","482","--"
-"Undetermined Intent","20 to 24","Alabama","White","--","229,203","--"
-"Undetermined Intent","20 to 24","Alabama","Black","--","108,314","--"
-"Undetermined Intent","20 to 24","Alaska","White","--","30,319","--"
-"Undetermined Intent","20 to 24","Alaska","Black","--","2,839","--"
-"Undetermined Intent","20 to 24","Arizona","White","--","412,758","--"
-"Undetermined Intent","20 to 24","Arizona","Black","--","33,004","--"
-"Undetermined Intent","20 to 24","Arkansas","White","--","158,002","--"
-"Undetermined Intent","20 to 24","Arkansas","Black","--","39,342","--"
-"Undetermined Intent","20 to 24","California","White","--","1,247,088","--"
-"Undetermined Intent","20 to 24","California","Black","--","115,207","--"
-"Undetermined Intent","20 to 24","Colorado","White","--","336,044","--"
-"Undetermined Intent","20 to 24","Colorado","Black","--","21,525","--"
-"Undetermined Intent","20 to 24","Connecticut","White","--","182,182","--"
-"Undetermined Intent","20 to 24","Connecticut","Black","--","35,572","--"
-"Undetermined Intent","20 to 24","Delaware","White","--","37,241","--"
-"Undetermined Intent","20 to 24","Delaware","Black","--","18,013","--"
-"Undetermined Intent","20 to 24","District of Columbia","White","--","23,632","--"
-"Undetermined Intent","20 to 24","District of Columbia","Black","--","19,382","--"
-"Undetermined Intent","20 to 24","Florida","White","--","679,404","--"
-"Undetermined Intent","20 to 24","Florida","Black","--","199,250","--"
-"Undetermined Intent","20 to 24","Georgia","White","--","433,877","--"
-"Undetermined Intent","20 to 24","Georgia","Black","--","276,164","--"
-"Undetermined Intent","20 to 24","Hawaii","White","--","26,265","--"
-"Undetermined Intent","20 to 24","Hawaii","Black","--","3,657","--"
-"Undetermined Intent","20 to 24","Idaho","White","--","122,210","--"
-"Undetermined Intent","20 to 24","Idaho","Black","--","2,055","--"
-"Undetermined Intent","20 to 24","Illinois","White","--","622,549","--"
-"Undetermined Intent","20 to 24","Illinois","Black","--","137,775","--"
-"Undetermined Intent","20 to 24","Indiana","White","--","397,948","--"
-"Undetermined Intent","20 to 24","Indiana","Black","--","56,280","--"
-"Undetermined Intent","20 to 24","Iowa","White","--","203,529","--"
-"Undetermined Intent","20 to 24","Iowa","Black","--","13,181","--"
-"Undetermined Intent","20 to 24","Kansas","White","--","184,291","--"
-"Undetermined Intent","20 to 24","Kansas","Black","--","16,483","--"
-"Undetermined Intent","20 to 24","Kentucky","White","--","258,883","--"
-"Undetermined Intent","20 to 24","Kentucky","Black","--","32,644","--"
-"Undetermined Intent","20 to 24","Louisiana","White","--","178,463","--"
-"Undetermined Intent","20 to 24","Louisiana","Black","--","119,461","--"
-"Undetermined Intent","20 to 24","Maine","White","--","71,385","--"
-"Undetermined Intent","20 to 24","Maine","Black","--","2,480","--"
-"Undetermined Intent","20 to 24","Maryland","White","23","208,301","11.04"
-"Undetermined Intent","20 to 24","Maryland","Black","16**","130,750","12.24"
-"Undetermined Intent","20 to 24","Massachusetts","White","--","375,819","--"
-"Undetermined Intent","20 to 24","Massachusetts","Black","--","51,126","--"
-"Undetermined Intent","20 to 24","Michigan","White","12**","525,093","2.29"
-"Undetermined Intent","20 to 24","Michigan","Black","--","107,139","--"
-"Undetermined Intent","20 to 24","Minnesota","White","--","289,837","--"
-"Undetermined Intent","20 to 24","Minnesota","Black","--","34,188","--"
-"Undetermined Intent","20 to 24","Mississippi","White","--","113,911","--"
-"Undetermined Intent","20 to 24","Mississippi","Black","--","87,800","--"
-"Undetermined Intent","20 to 24","Missouri","White","--","334,793","--"
-"Undetermined Intent","20 to 24","Missouri","Black","--","55,686","--"
-"Undetermined Intent","20 to 24","Montana","White","--","66,748","--"
-"Undetermined Intent","20 to 24","Montana","Black","--","890","--"
-"Undetermined Intent","20 to 24","Nebraska","White","--","122,100","--"
-"Undetermined Intent","20 to 24","Nebraska","Black","--","8,495","--"
-"Undetermined Intent","20 to 24","Nevada","White","--","137,404","--"
-"Undetermined Intent","20 to 24","Nevada","Black","--","23,445","--"
-"Undetermined Intent","20 to 24","New Hampshire","White","--","78,484","--"
-"Undetermined Intent","20 to 24","New Hampshire","Black","--","2,355","--"
-"Undetermined Intent","20 to 24","New Jersey","White","--","397,324","--"
-"Undetermined Intent","20 to 24","New Jersey","Black","--","100,941","--"
-"Undetermined Intent","20 to 24","New Mexico","White","--","118,089","--"
-"Undetermined Intent","20 to 24","New Mexico","Black","--","5,172","--"
-"Undetermined Intent","20 to 24","New York","White","10**","865,371","1.16"
-"Undetermined Intent","20 to 24","New York","Black","--","248,202","--"
-"Undetermined Intent","20 to 24","North Carolina","White","--","499,730","--"
-"Undetermined Intent","20 to 24","North Carolina","Black","--","180,717","--"
-"Undetermined Intent","20 to 24","North Dakota","White","--","54,872","--"
-"Undetermined Intent","20 to 24","North Dakota","Black","--","2,593","--"
-"Undetermined Intent","20 to 24","Ohio","White","--","602,331","--"
-"Undetermined Intent","20 to 24","Ohio","Black","--","116,570","--"
-"Undetermined Intent","20 to 24","Oklahoma","White","--","200,949","--"
-"Undetermined Intent","20 to 24","Oklahoma","Black","--","27,499","--"
-"Undetermined Intent","20 to 24","Oregon","White","--","221,973","--"
-"Undetermined Intent","20 to 24","Oregon","Black","--","7,756","--"
-"Undetermined Intent","20 to 24","Pennsylvania","White","--","643,288","--"
-"Undetermined Intent","20 to 24","Pennsylvania","Black","--","123,305","--"
-"Undetermined Intent","20 to 24","Rhode Island","White","--","60,888","--"
-"Undetermined Intent","20 to 24","Rhode Island","Black","--","8,507","--"
-"Undetermined Intent","20 to 24","South Carolina","White","--","226,532","--"
-"Undetermined Intent","20 to 24","South Carolina","Black","--","104,775","--"
-"Undetermined Intent","20 to 24","South Dakota","White","--","50,224","--"
-"Undetermined Intent","20 to 24","South Dakota","Black","--","1,926","--"
-"Undetermined Intent","20 to 24","Tennessee","White","--","357,420","--"
-"Undetermined Intent","20 to 24","Tennessee","Black","--","91,576","--"
-"Undetermined Intent","20 to 24","Texas","White","10**","968,701","1.03"
-"Undetermined Intent","20 to 24","Texas","Black","--","222,580","--"
-"Undetermined Intent","20 to 24","Utah","White","--","265,862","--"
-"Undetermined Intent","20 to 24","Utah","Black","--","5,181","--"
-"Undetermined Intent","20 to 24","Vermont","White","--","41,427","--"
-"Undetermined Intent","20 to 24","Vermont","Black","--","1,168","--"
-"Undetermined Intent","20 to 24","Virginia","White","--","392,248","--"
-"Undetermined Intent","20 to 24","Virginia","Black","--","127,737","--"
-"Undetermined Intent","20 to 24","Washington","White","--","366,738","--"
-"Undetermined Intent","20 to 24","Washington","Black","--","28,153","--"
-"Undetermined Intent","20 to 24","West Virginia","White","--","104,864","--"
-"Undetermined Intent","20 to 24","West Virginia","Black","--","5,565","--"
-"Undetermined Intent","20 to 24","Wisconsin","White","--","341,260","--"
-"Undetermined Intent","20 to 24","Wisconsin","Black","--","32,637","--"
-"Undetermined Intent","20 to 24","Wyoming","White","--","35,389","--"
-"Undetermined Intent","20 to 24","Wyoming","Black","--","755","--"
-"Undetermined Intent","25 to 29","Alabama","White","--","208,303","--"
-"Undetermined Intent","25 to 29","Alabama","Black","--","97,392","--"
-"Undetermined Intent","25 to 29","Alaska","White","--","33,722","--"
-"Undetermined Intent","25 to 29","Alaska","Black","--","2,657","--"
-"Undetermined Intent","25 to 29","Arizona","White","--","398,591","--"
-"Undetermined Intent","25 to 29","Arizona","Black","--","34,860","--"
-"Undetermined Intent","25 to 29","Arkansas","White","--","146,268","--"
-"Undetermined Intent","25 to 29","Arkansas","Black","--","35,042","--"
-"Undetermined Intent","25 to 29","California","White","--","1,308,629","--"
-"Undetermined Intent","25 to 29","California","Black","--","132,463","--"
-"Undetermined Intent","25 to 29","Colorado","White","--","374,261","--"
-"Undetermined Intent","25 to 29","Colorado","Black","--","24,799","--"
-"Undetermined Intent","25 to 29","Connecticut","White","--","165,033","--"
-"Undetermined Intent","25 to 29","Connecticut","Black","--","35,425","--"
-"Undetermined Intent","25 to 29","Delaware","White","--","37,662","--"
-"Undetermined Intent","25 to 29","Delaware","Black","--","16,633","--"
-"Undetermined Intent","25 to 29","District of Columbia","White","--","39,791","--"
-"Undetermined Intent","25 to 29","District of Columbia","Black","--","23,847","--"
-"Undetermined Intent","25 to 29","Florida","White","--","680,730","--"
-"Undetermined Intent","25 to 29","Florida","Black","--","200,273","--"
-"Undetermined Intent","25 to 29","Georgia","White","--","406,681","--"
-"Undetermined Intent","25 to 29","Georgia","Black","--","272,771","--"
-"Undetermined Intent","25 to 29","Hawaii","White","--","25,925","--"
-"Undetermined Intent","25 to 29","Hawaii","Black","--","3,784","--"
-"Undetermined Intent","25 to 29","Idaho","White","--","112,805","--"
-"Undetermined Intent","25 to 29","Idaho","Black","--","1,814","--"
-"Undetermined Intent","25 to 29","Illinois","White","--","605,241","--"
-"Undetermined Intent","25 to 29","Illinois","Black","--","143,191","--"
-"Undetermined Intent","25 to 29","Indiana","White","10**","358,013","2.79"
-"Undetermined Intent","25 to 29","Indiana","Black","--","55,315","--"
-"Undetermined Intent","25 to 29","Iowa","White","--","171,023","--"
-"Undetermined Intent","25 to 29","Iowa","Black","--","12,446","--"
-"Undetermined Intent","25 to 29","Kansas","White","--","154,576","--"
-"Undetermined Intent","25 to 29","Kansas","Black","--","14,518","--"
-"Undetermined Intent","25 to 29","Kentucky","White","--","246,636","--"
-"Undetermined Intent","25 to 29","Kentucky","Black","--","30,715","--"
-"Undetermined Intent","25 to 29","Louisiana","White","--","170,334","--"
-"Undetermined Intent","25 to 29","Louisiana","Black","--","106,944","--"
-"Undetermined Intent","25 to 29","Maine","White","--","73,679","--"
-"Undetermined Intent","25 to 29","Maine","Black","--","2,389","--"
-"Undetermined Intent","25 to 29","Maryland","White","50","207,857","24.06"
-"Undetermined Intent","25 to 29","Maryland","Black","46","133,479","34.46"
-"Undetermined Intent","25 to 29","Massachusetts","White","--","363,319","--"
-"Undetermined Intent","25 to 29","Massachusetts","Black","--","51,433","--"
-"Undetermined Intent","25 to 29","Michigan","White","32","484,438","6.61"
-"Undetermined Intent","25 to 29","Michigan","Black","11**","108,908","10.10"
-"Undetermined Intent","25 to 29","Minnesota","White","--","282,348","--"
-"Undetermined Intent","25 to 29","Minnesota","Black","--","33,390","--"
-"Undetermined Intent","25 to 29","Mississippi","White","--","100,419","--"
-"Undetermined Intent","25 to 29","Mississippi","Black","--","78,243","--"
-"Undetermined Intent","25 to 29","Missouri","White","--","314,942","--"
-"Undetermined Intent","25 to 29","Missouri","Black","--","55,274","--"
-"Undetermined Intent","25 to 29","Montana","White","--","62,246","--"
-"Undetermined Intent","25 to 29","Montana","Black","--","770","--"
-"Undetermined Intent","25 to 29","Nebraska","White","--","106,372","--"
-"Undetermined Intent","25 to 29","Nebraska","Black","--","8,554","--"
-"Undetermined Intent","25 to 29","Nevada","White","--","152,178","--"
-"Undetermined Intent","25 to 29","Nevada","Black","--","28,186","--"
-"Undetermined Intent","25 to 29","New Hampshire","White","--","78,533","--"
-"Undetermined Intent","25 to 29","New Hampshire","Black","--","2,383","--"
-"Undetermined Intent","25 to 29","New Jersey","White","--","389,303","--"
-"Undetermined Intent","25 to 29","New Jersey","Black","--","104,093","--"
-"Undetermined Intent","25 to 29","New Mexico","White","--","107,156","--"
-"Undetermined Intent","25 to 29","New Mexico","Black","--","4,727","--"
-"Undetermined Intent","25 to 29","New York","White","25","887,577","2.82"
-"Undetermined Intent","25 to 29","New York","Black","--","261,092","--"
-"Undetermined Intent","25 to 29","North Carolina","White","--","468,805","--"
-"Undetermined Intent","25 to 29","North Carolina","Black","--","173,348","--"
-"Undetermined Intent","25 to 29","North Dakota","White","--","44,860","--"
-"Undetermined Intent","25 to 29","North Dakota","Black","--","2,797","--"
-"Undetermined Intent","25 to 29","Ohio","White","--","586,432","--"
-"Undetermined Intent","25 to 29","Ohio","Black","--","119,059","--"
-"Undetermined Intent","25 to 29","Oklahoma","White","--","183,119","--"
-"Undetermined Intent","25 to 29","Oklahoma","Black","--","25,642","--"
-"Undetermined Intent","25 to 29","Oregon","White","--","232,336","--"
-"Undetermined Intent","25 to 29","Oregon","Black","--","8,915","--"
-"Undetermined Intent","25 to 29","Pennsylvania","White","--","615,684","--"
-"Undetermined Intent","25 to 29","Pennsylvania","Black","--","122,841","--"
-"Undetermined Intent","25 to 29","Rhode Island","White","--","57,055","--"
-"Undetermined Intent","25 to 29","Rhode Island","Black","--","8,130","--"
-"Undetermined Intent","25 to 29","South Carolina","White","--","213,793","--"
-"Undetermined Intent","25 to 29","South Carolina","Black","--","95,617","--"
-"Undetermined Intent","25 to 29","South Dakota","White","--","45,508","--"
-"Undetermined Intent","25 to 29","South Dakota","Black","--","1,969","--"
-"Undetermined Intent","25 to 29","Tennessee","White","--","363,007","--"
-"Undetermined Intent","25 to 29","Tennessee","Black","--","93,553","--"
-"Undetermined Intent","25 to 29","Texas","White","--","997,897","--"
-"Undetermined Intent","25 to 29","Texas","Black","--","247,990","--"
-"Undetermined Intent","25 to 29","Utah","White","--","226,852","--"
-"Undetermined Intent","25 to 29","Utah","Black","--","5,355","--"
-"Undetermined Intent","25 to 29","Vermont","White","--","34,440","--"
-"Undetermined Intent","25 to 29","Vermont","Black","--","895","--"
-"Undetermined Intent","25 to 29","Virginia","White","--","377,098","--"
-"Undetermined Intent","25 to 29","Virginia","Black","--","126,319","--"
-"Undetermined Intent","25 to 29","Washington","White","--","401,822","--"
-"Undetermined Intent","25 to 29","Washington","Black","--","30,976","--"
-"Undetermined Intent","25 to 29","West Virginia","White","--","95,321","--"
-"Undetermined Intent","25 to 29","West Virginia","Black","--","5,141","--"
-"Undetermined Intent","25 to 29","Wisconsin","White","--","301,974","--"
-"Undetermined Intent","25 to 29","Wisconsin","Black","--","32,272","--"
-"Undetermined Intent","25 to 29","Wyoming","White","--","31,459","--"
-"Undetermined Intent","25 to 29","Wyoming","Black","--","573","--"
-"Undetermined Intent","30 to 34","Alabama","White","--","221,016","--"
-"Undetermined Intent","30 to 34","Alabama","Black","--","101,298","--"
-"Undetermined Intent","30 to 34","Alaska","White","--","37,587","--"
-"Undetermined Intent","30 to 34","Alaska","Black","--","2,605","--"
-"Undetermined Intent","30 to 34","Arizona","White","11**","400,296","2.75"
-"Undetermined Intent","30 to 34","Arizona","Black","--","36,454","--"
-"Undetermined Intent","30 to 34","Arkansas","White","--","154,054","--"
-"Undetermined Intent","30 to 34","Arkansas","Black","--","34,888","--"
-"Undetermined Intent","30 to 34","California","White","--","1,394,002","--"
-"Undetermined Intent","30 to 34","California","Black","--","147,840","--"
-"Undetermined Intent","30 to 34","Colorado","White","--","399,639","--"
-"Undetermined Intent","30 to 34","Colorado","Black","--","26,098","--"
-"Undetermined Intent","30 to 34","Connecticut","White","--","167,654","--"
-"Undetermined Intent","30 to 34","Connecticut","Black","--","37,599","--"
-"Undetermined Intent","30 to 34","Delaware","White","--","43,963","--"
-"Undetermined Intent","30 to 34","Delaware","Black","--","17,454","--"
-"Undetermined Intent","30 to 34","District of Columbia","White","--","40,917","--"
-"Undetermined Intent","30 to 34","District of Columbia","Black","--","26,733","--"
-"Undetermined Intent","30 to 34","Florida","White","10**","754,132","1.33"
-"Undetermined Intent","30 to 34","Florida","Black","--","217,922","--"
-"Undetermined Intent","30 to 34","Georgia","White","--","421,111","--"
-"Undetermined Intent","30 to 34","Georgia","Black","--","284,269","--"
-"Undetermined Intent","30 to 34","Hawaii","White","--","27,147","--"
-"Undetermined Intent","30 to 34","Hawaii","Black","--","3,551","--"
-"Undetermined Intent","30 to 34","Idaho","White","--","115,796","--"
-"Undetermined Intent","30 to 34","Idaho","Black","--","1,751","--"
-"Undetermined Intent","30 to 34","Illinois","White","--","624,807","--"
-"Undetermined Intent","30 to 34","Illinois","Black","--","144,191","--"
-"Undetermined Intent","30 to 34","Indiana","White","12**","367,915","3.26"
-"Undetermined Intent","30 to 34","Indiana","Black","--","56,145","--"
-"Undetermined Intent","30 to 34","Iowa","White","--","171,785","--"
-"Undetermined Intent","30 to 34","Iowa","Black","--","12,583","--"
-"Undetermined Intent","30 to 34","Kansas","White","--","155,929","--"
-"Undetermined Intent","30 to 34","Kansas","Black","--","14,363","--"
-"Undetermined Intent","30 to 34","Kentucky","White","--","255,261","--"
-"Undetermined Intent","30 to 34","Kentucky","Black","--","30,638","--"
-"Undetermined Intent","30 to 34","Louisiana","White","--","191,021","--"
-"Undetermined Intent","30 to 34","Louisiana","Black","--","110,877","--"
-"Undetermined Intent","30 to 34","Maine","White","--","81,521","--"
-"Undetermined Intent","30 to 34","Maine","Black","--","2,306","--"
-"Undetermined Intent","30 to 34","Maryland","White","85","229,640","37.01"
-"Undetermined Intent","30 to 34","Maryland","Black","36","147,207","24.46"
-"Undetermined Intent","30 to 34","Massachusetts","White","--","370,231","--"
-"Undetermined Intent","30 to 34","Massachusetts","Black","--","53,899","--"
-"Undetermined Intent","30 to 34","Michigan","White","44","499,593","8.81"
-"Undetermined Intent","30 to 34","Michigan","Black","13**","115,573","11.25"
-"Undetermined Intent","30 to 34","Minnesota","White","--","294,177","--"
-"Undetermined Intent","30 to 34","Minnesota","Black","--","36,830","--"
-"Undetermined Intent","30 to 34","Mississippi","White","--","106,229","--"
-"Undetermined Intent","30 to 34","Mississippi","Black","--","78,329","--"
-"Undetermined Intent","30 to 34","Missouri","White","--","329,572","--"
-"Undetermined Intent","30 to 34","Missouri","Black","--","57,677","--"
-"Undetermined Intent","30 to 34","Montana","White","--","64,718","--"
-"Undetermined Intent","30 to 34","Montana","Black","--","725","--"
-"Undetermined Intent","30 to 34","Nebraska","White","--","106,113","--"
-"Undetermined Intent","30 to 34","Nebraska","Black","--","8,612","--"
-"Undetermined Intent","30 to 34","Nevada","White","--","164,879","--"
-"Undetermined Intent","30 to 34","Nevada","Black","--","31,678","--"
-"Undetermined Intent","30 to 34","New Hampshire","White","--","83,513","--"
-"Undetermined Intent","30 to 34","New Hampshire","Black","--","2,547","--"
-"Undetermined Intent","30 to 34","New Jersey","White","--","404,148","--"
-"Undetermined Intent","30 to 34","New Jersey","Black","--","111,781","--"
-"Undetermined Intent","30 to 34","New Mexico","White","--","110,168","--"
-"Undetermined Intent","30 to 34","New Mexico","Black","--","4,918","--"
-"Undetermined Intent","30 to 34","New York","White","33","916,555","3.60"
-"Undetermined Intent","30 to 34","New York","Black","--","280,002","--"
-"Undetermined Intent","30 to 34","North Carolina","White","--","489,469","--"
-"Undetermined Intent","30 to 34","North Carolina","Black","--","180,918","--"
-"Undetermined Intent","30 to 34","North Dakota","White","--","46,292","--"
-"Undetermined Intent","30 to 34","North Dakota","Black","--","3,208","--"
-"Undetermined Intent","30 to 34","Ohio","White","--","614,360","--"
-"Undetermined Intent","30 to 34","Ohio","Black","--","123,992","--"
-"Undetermined Intent","30 to 34","Oklahoma","White","--","195,595","--"
-"Undetermined Intent","30 to 34","Oklahoma","Black","--","25,714","--"
-"Undetermined Intent","30 to 34","Oregon","White","--","258,032","--"
-"Undetermined Intent","30 to 34","Oregon","Black","--","9,689","--"
-"Undetermined Intent","30 to 34","Pennsylvania","White","--","671,746","--"
-"Undetermined Intent","30 to 34","Pennsylvania","Black","--","131,867","--"
-"Undetermined Intent","30 to 34","Rhode Island","White","--","62,877","--"
-"Undetermined Intent","30 to 34","Rhode Island","Black","--","8,564","--"
-"Undetermined Intent","30 to 34","South Carolina","White","--","232,397","--"
-"Undetermined Intent","30 to 34","South Carolina","Black","--","103,145","--"
-"Undetermined Intent","30 to 34","South Dakota","White","--","46,551","--"
-"Undetermined Intent","30 to 34","South Dakota","Black","--","2,350","--"
-"Undetermined Intent","30 to 34","Tennessee","White","--","373,704","--"
-"Undetermined Intent","30 to 34","Tennessee","Black","--","95,251","--"
-"Undetermined Intent","30 to 34","Texas","White","--","1,022,242","--"
-"Undetermined Intent","30 to 34","Texas","Black","--","260,691","--"
-"Undetermined Intent","30 to 34","Utah","White","--","211,442","--"
-"Undetermined Intent","30 to 34","Utah","Black","--","5,406","--"
-"Undetermined Intent","30 to 34","Vermont","White","--","36,896","--"
-"Undetermined Intent","30 to 34","Vermont","Black","--","874","--"
-"Undetermined Intent","30 to 34","Virginia","White","--","392,756","--"
-"Undetermined Intent","30 to 34","Virginia","Black","--","133,142","--"
-"Undetermined Intent","30 to 34","Washington","White","--","447,401","--"
-"Undetermined Intent","30 to 34","Washington","Black","--","33,773","--"
-"Undetermined Intent","30 to 34","West Virginia","White","--","99,132","--"
-"Undetermined Intent","30 to 34","West Virginia","Black","--","5,323","--"
-"Undetermined Intent","30 to 34","Wisconsin","White","--","301,697","--"
-"Undetermined Intent","30 to 34","Wisconsin","Black","--","32,048","--"
-"Undetermined Intent","30 to 34","Wyoming","White","--","34,581","--"
-"Undetermined Intent","30 to 34","Wyoming","Black","--","662","--"
-"Undetermined Intent","35 to 39","Alabama","White","--","210,362","--"
-"Undetermined Intent","35 to 39","Alabama","Black","--","87,181","--"
-"Undetermined Intent","35 to 39","Alaska","White","--","37,109","--"
-"Undetermined Intent","35 to 39","Alaska","Black","--","2,130","--"
-"Undetermined Intent","35 to 39","Arizona","White","11**","374,400","2.94"
-"Undetermined Intent","35 to 39","Arizona","Black","--","31,202","--"
-"Undetermined Intent","35 to 39","Arkansas","White","--","148,742","--"
-"Undetermined Intent","35 to 39","Arkansas","Black","--","30,615","--"
-"Undetermined Intent","35 to 39","California","White","12**","1,293,685","0.93"
-"Undetermined Intent","35 to 39","California","Black","--","122,343","--"
-"Undetermined Intent","35 to 39","Colorado","White","--","379,513","--"
-"Undetermined Intent","35 to 39","Colorado","Black","--","22,296","--"
-"Undetermined Intent","35 to 39","Connecticut","White","--","176,238","--"
-"Undetermined Intent","35 to 39","Connecticut","Black","--","33,636","--"
-"Undetermined Intent","35 to 39","Delaware","White","--","41,456","--"
-"Undetermined Intent","35 to 39","Delaware","Black","--","15,689","--"
-"Undetermined Intent","35 to 39","District of Columbia","White","--","35,137","--"
-"Undetermined Intent","35 to 39","District of Columbia","Black","--","21,155","--"
-"Undetermined Intent","35 to 39","Florida","White","--","749,761","--"
-"Undetermined Intent","35 to 39","Florida","Black","--","194,011","--"
-"Undetermined Intent","35 to 39","Georgia","White","--","413,541","--"
-"Undetermined Intent","35 to 39","Georgia","Black","--","249,434","--"
-"Undetermined Intent","35 to 39","Hawaii","White","--","28,516","--"
-"Undetermined Intent","35 to 39","Hawaii","Black","--","2,993","--"
-"Undetermined Intent","35 to 39","Idaho","White","--","116,759","--"
-"Undetermined Intent","35 to 39","Idaho","Black","--","1,334","--"
-"Undetermined Intent","35 to 39","Illinois","White","10**","634,453","1.58"
-"Undetermined Intent","35 to 39","Illinois","Black","--","119,091","--"
-"Undetermined Intent","35 to 39","Indiana","White","15**","356,673","4.21"
-"Undetermined Intent","35 to 39","Indiana","Black","--","47,642","--"
-"Undetermined Intent","35 to 39","Iowa","White","--","177,126","--"
-"Undetermined Intent","35 to 39","Iowa","Black","--","10,766","--"
-"Undetermined Intent","35 to 39","Kansas","White","--","162,654","--"
-"Undetermined Intent","35 to 39","Kansas","Black","--","12,660","--"
-"Undetermined Intent","35 to 39","Kentucky","White","--","240,004","--"
-"Undetermined Intent","35 to 39","Kentucky","Black","--","25,285","--"
-"Undetermined Intent","35 to 39","Louisiana","White","10**","192,808","5.19"
-"Undetermined Intent","35 to 39","Louisiana","Black","--","101,540","--"
-"Undetermined Intent","35 to 39","Maine","White","--","80,230","--"
-"Undetermined Intent","35 to 39","Maine","Black","--","2,114","--"
-"Undetermined Intent","35 to 39","Maryland","White","105","240,651","43.63"
-"Undetermined Intent","35 to 39","Maryland","Black","41","136,369","30.07"
-"Undetermined Intent","35 to 39","Massachusetts","White","--","360,258","--"
-"Undetermined Intent","35 to 39","Massachusetts","Black","--","48,015","--"
-"Undetermined Intent","35 to 39","Michigan","White","53","477,516","11.10"
-"Undetermined Intent","35 to 39","Michigan","Black","--","84,922","--"
-"Undetermined Intent","35 to 39","Minnesota","White","--","315,090","--"
-"Undetermined Intent","35 to 39","Minnesota","Black","--","35,488","--"
-"Undetermined Intent","35 to 39","Mississippi","White","--","103,453","--"
-"Undetermined Intent","35 to 39","Mississippi","Black","--","70,314","--"
-"Undetermined Intent","35 to 39","Missouri","White","--","330,128","--"
-"Undetermined Intent","35 to 39","Missouri","Black","--","47,281","--"
-"Undetermined Intent","35 to 39","Montana","White","--","64,718","--"
-"Undetermined Intent","35 to 39","Montana","Black","--","517","--"
-"Undetermined Intent","35 to 39","Nebraska","White","--","113,460","--"
-"Undetermined Intent","35 to 39","Nebraska","Black","--","7,344","--"
-"Undetermined Intent","35 to 39","Nevada","White","--","159,735","--"
-"Undetermined Intent","35 to 39","Nevada","Black","--","25,614","--"
-"Undetermined Intent","35 to 39","New Hampshire","White","--","80,710","--"
-"Undetermined Intent","35 to 39","New Hampshire","Black","--","2,184","--"
-"Undetermined Intent","35 to 39","New Jersey","White","--","412,694","--"
-"Undetermined Intent","35 to 39","New Jersey","Black","--","98,614","--"
-"Undetermined Intent","35 to 39","New Mexico","White","--","111,233","--"
-"Undetermined Intent","35 to 39","New Mexico","Black","--","4,248","--"
-"Undetermined Intent","35 to 39","New York","White","31","878,009","3.53"
-"Undetermined Intent","35 to 39","New York","Black","--","235,830","--"
-"Undetermined Intent","35 to 39","North Carolina","White","--","466,483","--"
-"Undetermined Intent","35 to 39","North Carolina","Black","--","153,597","--"
-"Undetermined Intent","35 to 39","North Dakota","White","--","45,397","--"
-"Undetermined Intent","35 to 39","North Dakota","Black","--","2,707","--"
-"Undetermined Intent","35 to 39","Ohio","White","11**","591,610","1.86"
-"Undetermined Intent","35 to 39","Ohio","Black","--","101,353","--"
-"Undetermined Intent","35 to 39","Oklahoma","White","--","197,004","--"
-"Undetermined Intent","35 to 39","Oklahoma","Black","--","21,974","--"
-"Undetermined Intent","35 to 39","Oregon","White","--","253,916","--"
-"Undetermined Intent","35 to 39","Oregon","Black","--","8,196","--"
-"Undetermined Intent","35 to 39","Pennsylvania","White","--","661,011","--"
-"Undetermined Intent","35 to 39","Pennsylvania","Black","--","106,037","--"
-"Undetermined Intent","35 to 39","Rhode Island","White","--","57,478","--"
-"Undetermined Intent","35 to 39","Rhode Island","Black","--","7,057","--"
-"Undetermined Intent","35 to 39","South Carolina","White","--","223,851","--"
-"Undetermined Intent","35 to 39","South Carolina","Black","--","88,168","--"
-"Undetermined Intent","35 to 39","South Dakota","White","--","48,643","--"
-"Undetermined Intent","35 to 39","South Dakota","Black","--","2,389","--"
-"Undetermined Intent","35 to 39","Tennessee","White","--","349,232","--"
-"Undetermined Intent","35 to 39","Tennessee","Black","--","77,639","--"
-"Undetermined Intent","35 to 39","Texas","White","--","1,006,051","--"
-"Undetermined Intent","35 to 39","Texas","Black","--","231,449","--"
-"Undetermined Intent","35 to 39","Utah","White","--","203,249","--"
-"Undetermined Intent","35 to 39","Utah","Black","--","3,902","--"
-"Undetermined Intent","35 to 39","Vermont","White","--","37,412","--"
-"Undetermined Intent","35 to 39","Vermont","Black","--","770","--"
-"Undetermined Intent","35 to 39","Virginia","White","--","399,910","--"
-"Undetermined Intent","35 to 39","Virginia","Black","--","120,537","--"
-"Undetermined Intent","35 to 39","Washington","White","--","430,046","--"
-"Undetermined Intent","35 to 39","Washington","Black","--","30,986","--"
-"Undetermined Intent","35 to 39","West Virginia","White","--","93,540","--"
-"Undetermined Intent","35 to 39","West Virginia","Black","--","4,615","--"
-"Undetermined Intent","35 to 39","Wisconsin","White","--","318,452","--"
-"Undetermined Intent","35 to 39","Wisconsin","Black","--","25,926","--"
-"Undetermined Intent","35 to 39","Wyoming","White","--","36,601","--"
-"Undetermined Intent","35 to 39","Wyoming","Black","--","554","--"
-"Undetermined Intent","40 to 44","Alabama","White","--","210,772","--"
-"Undetermined Intent","40 to 44","Alabama","Black","--","86,946","--"
-"Undetermined Intent","40 to 44","Alaska","White","--","32,773","--"
-"Undetermined Intent","40 to 44","Alaska","Black","--","1,791","--"
-"Undetermined Intent","40 to 44","Arizona","White","--","365,823","--"
-"Undetermined Intent","40 to 44","Arizona","Black","--","27,909","--"
-"Undetermined Intent","40 to 44","Arkansas","White","--","150,009","--"
-"Undetermined Intent","40 to 44","Arkansas","Black","--","29,998","--"
-"Undetermined Intent","40 to 44","California","White","10**","1,213,797","0.82"
-"Undetermined Intent","40 to 44","California","Black","--","109,494","--"
-"Undetermined Intent","40 to 44","Colorado","White","--","349,810","--"
-"Undetermined Intent","40 to 44","Colorado","Black","--","19,637","--"
-"Undetermined Intent","40 to 44","Connecticut","White","--","170,549","--"
-"Undetermined Intent","40 to 44","Connecticut","Black","--","32,361","--"
-"Undetermined Intent","40 to 44","Delaware","White","--","39,338","--"
-"Undetermined Intent","40 to 44","Delaware","Black","--","15,322","--"
-"Undetermined Intent","40 to 44","District of Columbia","White","--","25,106","--"
-"Undetermined Intent","40 to 44","District of Columbia","Black","--","18,856","--"
-"Undetermined Intent","40 to 44","Florida","White","--","740,765","--"
-"Undetermined Intent","40 to 44","Florida","Black","--","182,808","--"
-"Undetermined Intent","40 to 44","Georgia","White","--","410,462","--"
-"Undetermined Intent","40 to 44","Georgia","Black","--","246,676","--"
-"Undetermined Intent","40 to 44","Hawaii","White","--","25,021","--"
-"Undetermined Intent","40 to 44","Hawaii","Black","--","2,302","--"
-"Undetermined Intent","40 to 44","Idaho","White","--","117,558","--"
-"Undetermined Intent","40 to 44","Idaho","Black","--","1,230","--"
-"Undetermined Intent","40 to 44","Illinois","White","--","628,418","--"
-"Undetermined Intent","40 to 44","Illinois","Black","--","115,636","--"
-"Undetermined Intent","40 to 44","Indiana","White","17**","360,585","4.71"
-"Undetermined Intent","40 to 44","Indiana","Black","--","45,374","--"
-"Undetermined Intent","40 to 44","Iowa","White","--","181,479","--"
-"Undetermined Intent","40 to 44","Iowa","Black","--","9,638","--"
-"Undetermined Intent","40 to 44","Kansas","White","--","160,215","--"
-"Undetermined Intent","40 to 44","Kansas","Black","--","11,778","--"
-"Undetermined Intent","40 to 44","Kentucky","White","--","247,881","--"
-"Undetermined Intent","40 to 44","Kentucky","Black","--","25,210","--"
-"Undetermined Intent","40 to 44","Louisiana","White","21","187,793","11.18"
-"Undetermined Intent","40 to 44","Louisiana","Black","--","95,351","--"
-"Undetermined Intent","40 to 44","Maine","White","--","77,317","--"
-"Undetermined Intent","40 to 44","Maine","Black","--","1,777","--"
-"Undetermined Intent","40 to 44","Maryland","White","92","228,824","40.21"
-"Undetermined Intent","40 to 44","Maryland","Black","37","131,178","28.21"
-"Undetermined Intent","40 to 44","Massachusetts","White","--","334,743","--"
-"Undetermined Intent","40 to 44","Massachusetts","Black","--","43,772","--"
-"Undetermined Intent","40 to 44","Michigan","White","42","477,344","8.80"
-"Undetermined Intent","40 to 44","Michigan","Black","--","81,842","--"
-"Undetermined Intent","40 to 44","Minnesota","White","--","313,110","--"
-"Undetermined Intent","40 to 44","Minnesota","Black","--","30,082","--"
-"Undetermined Intent","40 to 44","Mississippi","White","--","105,833","--"
-"Undetermined Intent","40 to 44","Mississippi","Black","--","72,580","--"
-"Undetermined Intent","40 to 44","Missouri","White","--","323,601","--"
-"Undetermined Intent","40 to 44","Missouri","Black","--","44,866","--"
-"Undetermined Intent","40 to 44","Montana","White","--","64,191","--"
-"Undetermined Intent","40 to 44","Montana","Black","--","474","--"
-"Undetermined Intent","40 to 44","Nebraska","White","--","111,287","--"
-"Undetermined Intent","40 to 44","Nebraska","Black","--","7,212","--"
-"Undetermined Intent","40 to 44","Nevada","White","--","152,947","--"
-"Undetermined Intent","40 to 44","Nevada","Black","--","22,933","--"
-"Undetermined Intent","40 to 44","New Hampshire","White","--","76,091","--"
-"Undetermined Intent","40 to 44","New Hampshire","Black","--","1,918","--"
-"Undetermined Intent","40 to 44","New Jersey","White","--","409,443","--"
-"Undetermined Intent","40 to 44","New Jersey","Black","--","95,898","--"
-"Undetermined Intent","40 to 44","New Mexico","White","--","105,938","--"
-"Undetermined Intent","40 to 44","New Mexico","Black","--","3,661","--"
-"Undetermined Intent","40 to 44","New York","White","39","822,923","4.74"
-"Undetermined Intent","40 to 44","New York","Black","--","221,353","--"
-"Undetermined Intent","40 to 44","North Carolina","White","--","462,870","--"
-"Undetermined Intent","40 to 44","North Carolina","Black","--","149,385","--"
-"Undetermined Intent","40 to 44","North Dakota","White","--","41,690","--"
-"Undetermined Intent","40 to 44","North Dakota","Black","--","2,026","--"
-"Undetermined Intent","40 to 44","Ohio","White","--","587,119","--"
-"Undetermined Intent","40 to 44","Ohio","Black","--","95,008","--"
-"Undetermined Intent","40 to 44","Oklahoma","White","--","191,885","--"
-"Undetermined Intent","40 to 44","Oklahoma","Black","--","20,539","--"
-"Undetermined Intent","40 to 44","Oregon","White","--","250,165","--"
-"Undetermined Intent","40 to 44","Oregon","Black","--","7,403","--"
-"Undetermined Intent","40 to 44","Pennsylvania","White","11**","628,906","1.75"
-"Undetermined Intent","40 to 44","Pennsylvania","Black","--","96,925","--"
-"Undetermined Intent","40 to 44","Rhode Island","White","--","54,343","--"
-"Undetermined Intent","40 to 44","Rhode Island","Black","--","6,762","--"
-"Undetermined Intent","40 to 44","South Carolina","White","--","220,831","--"
-"Undetermined Intent","40 to 44","South Carolina","Black","--","86,318","--"
-"Undetermined Intent","40 to 44","South Dakota","White","--","48,134","--"
-"Undetermined Intent","40 to 44","South Dakota","Black","--","1,724","--"
-"Undetermined Intent","40 to 44","Tennessee","White","--","346,131","--"
-"Undetermined Intent","40 to 44","Tennessee","Black","--","75,108","--"
-"Undetermined Intent","40 to 44","Texas","White","--","954,951","--"
-"Undetermined Intent","40 to 44","Texas","Black","--","217,541","--"
-"Undetermined Intent","40 to 44","Utah","White","--","215,984","--"
-"Undetermined Intent","40 to 44","Utah","Black","--","3,430","--"
-"Undetermined Intent","40 to 44","Vermont","White","--","36,638","--"
-"Undetermined Intent","40 to 44","Vermont","Black","--","700","--"
-"Undetermined Intent","40 to 44","Virginia","White","--","386,386","--"
-"Undetermined Intent","40 to 44","Virginia","Black","--","114,657","--"
-"Undetermined Intent","40 to 44","Washington","White","11**","403,069","2.73"
-"Undetermined Intent","40 to 44","Washington","Black","--","27,082","--"
-"Undetermined Intent","40 to 44","West Virginia","White","--","102,094","--"
-"Undetermined Intent","40 to 44","West Virginia","Black","--","4,386","--"
-"Undetermined Intent","40 to 44","Wisconsin","White","--","322,977","--"
-"Undetermined Intent","40 to 44","Wisconsin","Black","--","24,109","--"
-"Undetermined Intent","40 to 44","Wyoming","White","--","35,587","--"
-"Undetermined Intent","40 to 44","Wyoming","Black","--","493","--"
-"Undetermined Intent","45 to 49","Alabama","White","--","205,824","--"
-"Undetermined Intent","45 to 49","Alabama","Black","--","78,627","--"
-"Undetermined Intent","45 to 49","Alaska","White","--","27,719","--"
-"Undetermined Intent","45 to 49","Alaska","Black","--","1,523","--"
-"Undetermined Intent","45 to 49","Arizona","White","--","341,505","--"
-"Undetermined Intent","45 to 49","Arizona","Black","--","24,017","--"
-"Undetermined Intent","45 to 49","Arkansas","White","--","140,195","--"
-"Undetermined Intent","45 to 49","Arkansas","Black","--","26,568","--"
-"Undetermined Intent","45 to 49","California","White","12**","1,126,310","1.07"
-"Undetermined Intent","45 to 49","California","Black","--","97,851","--"
-"Undetermined Intent","45 to 49","Colorado","White","--","306,377","--"
-"Undetermined Intent","45 to 49","Colorado","Black","--","16,599","--"
-"Undetermined Intent","45 to 49","Connecticut","White","--","161,801","--"
-"Undetermined Intent","45 to 49","Connecticut","Black","--","28,866","--"
-"Undetermined Intent","45 to 49","Delaware","White","--","35,667","--"
-"Undetermined Intent","45 to 49","Delaware","Black","--","13,675","--"
-"Undetermined Intent","45 to 49","District of Columbia","White","--","17,467","--"
-"Undetermined Intent","45 to 49","District of Columbia","Black","--","15,755","--"
-"Undetermined Intent","45 to 49","Florida","White","--","725,702","--"
-"Undetermined Intent","45 to 49","Florida","Black","--","167,035","--"
-"Undetermined Intent","45 to 49","Georgia","White","--","397,207","--"
-"Undetermined Intent","45 to 49","Georgia","Black","--","224,111","--"
-"Undetermined Intent","45 to 49","Hawaii","White","--","20,011","--"
-"Undetermined Intent","45 to 49","Hawaii","Black","--","1,725","--"
-"Undetermined Intent","45 to 49","Idaho","White","--","102,986","--"
-"Undetermined Intent","45 to 49","Idaho","Black","--","909","--"
-"Undetermined Intent","45 to 49","Illinois","White","--","580,246","--"
-"Undetermined Intent","45 to 49","Illinois","Black","--","106,348","--"
-"Undetermined Intent","45 to 49","Indiana","White","16**","336,070","4.76"
-"Undetermined Intent","45 to 49","Indiana","Black","--","40,054","--"
-"Undetermined Intent","45 to 49","Iowa","White","--","158,770","--"
-"Undetermined Intent","45 to 49","Iowa","Black","--","7,406","--"
-"Undetermined Intent","45 to 49","Kansas","White","--","140,055","--"
-"Undetermined Intent","45 to 49","Kansas","Black","--","10,062","--"
-"Undetermined Intent","45 to 49","Kentucky","White","--","236,454","--"
-"Undetermined Intent","45 to 49","Kentucky","Black","--","22,033","--"
-"Undetermined Intent","45 to 49","Louisiana","White","13**","165,238","7.87"
-"Undetermined Intent","45 to 49","Louisiana","Black","--","80,175","--"
-"Undetermined Intent","45 to 49","Maine","White","--","73,170","--"
-"Undetermined Intent","45 to 49","Maine","Black","--","1,469","--"
-"Undetermined Intent","45 to 49","Maryland","White","76","203,756","37.30"
-"Undetermined Intent","45 to 49","Maryland","Black","60","119,111","50.37"
-"Undetermined Intent","45 to 49","Massachusetts","White","10**","315,354","3.17"
-"Undetermined Intent","45 to 49","Massachusetts","Black","--","39,510","--"
-"Undetermined Intent","45 to 49","Michigan","White","36","442,585","8.13"
-"Undetermined Intent","45 to 49","Michigan","Black","--","81,299","--"
-"Undetermined Intent","45 to 49","Minnesota","White","--","266,857","--"
-"Undetermined Intent","45 to 49","Minnesota","Black","--","24,278","--"
-"Undetermined Intent","45 to 49","Mississippi","White","--","100,857","--"
-"Undetermined Intent","45 to 49","Mississippi","Black","--","64,611","--"
-"Undetermined Intent","45 to 49","Missouri","White","--","288,437","--"
-"Undetermined Intent","45 to 49","Missouri","Black","--","39,558","--"
-"Undetermined Intent","45 to 49","Montana","White","--","55,056","--"
-"Undetermined Intent","45 to 49","Montana","Black","--","351","--"
-"Undetermined Intent","45 to 49","Nebraska","White","--","96,335","--"
-"Undetermined Intent","45 to 49","Nebraska","Black","--","5,653","--"
-"Undetermined Intent","45 to 49","Nevada","White","--","140,638","--"
-"Undetermined Intent","45 to 49","Nevada","Black","--","19,679","--"
-"Undetermined Intent","45 to 49","New Hampshire","White","--","71,477","--"
-"Undetermined Intent","45 to 49","New Hampshire","Black","--","1,994","--"
-"Undetermined Intent","45 to 49","New Jersey","White","--","391,916","--"
-"Undetermined Intent","45 to 49","New Jersey","Black","--","89,125","--"
-"Undetermined Intent","45 to 49","New Mexico","White","--","94,307","--"
-"Undetermined Intent","45 to 49","New Mexico","Black","--","3,320","--"
-"Undetermined Intent","45 to 49","New York","White","28","768,635","3.64"
-"Undetermined Intent","45 to 49","New York","Black","--","206,239","--"
-"Undetermined Intent","45 to 49","North Carolina","White","--","452,835","--"
-"Undetermined Intent","45 to 49","North Carolina","Black","--","141,431","--"
-"Undetermined Intent","45 to 49","North Dakota","White","--","34,233","--"
-"Undetermined Intent","45 to 49","North Dakota","Black","--","1,345","--"
-"Undetermined Intent","45 to 49","Ohio","White","--","546,108","--"
-"Undetermined Intent","45 to 49","Ohio","Black","--","84,086","--"
-"Undetermined Intent","45 to 49","Oklahoma","White","--","170,901","--"
-"Undetermined Intent","45 to 49","Oklahoma","Black","--","17,298","--"
-"Undetermined Intent","45 to 49","Oregon","White","--","222,212","--"
-"Undetermined Intent","45 to 49","Oregon","Black","--","6,117","--"
-"Undetermined Intent","45 to 49","Pennsylvania","White","--","584,822","--"
-"Undetermined Intent","45 to 49","Pennsylvania","Black","--","84,961","--"
-"Undetermined Intent","45 to 49","Rhode Island","White","--","50,181","--"
-"Undetermined Intent","45 to 49","Rhode Island","Black","--","5,682","--"
-"Undetermined Intent","45 to 49","South Carolina","White","--","211,211","--"
-"Undetermined Intent","45 to 49","South Carolina","Black","--","78,354","--"
-"Undetermined Intent","45 to 49","South Dakota","White","--","41,160","--"
-"Undetermined Intent","45 to 49","South Dakota","Black","--","1,125","--"
-"Undetermined Intent","45 to 49","Tennessee","White","--","331,755","--"
-"Undetermined Intent","45 to 49","Tennessee","Black","--","67,405","--"
-"Undetermined Intent","45 to 49","Texas","White","--","874,019","--"
-"Undetermined Intent","45 to 49","Texas","Black","--","187,580","--"
-"Undetermined Intent","45 to 49","Utah","White","--","181,177","--"
-"Undetermined Intent","45 to 49","Utah","Black","--","2,714","--"
-"Undetermined Intent","45 to 49","Vermont","White","--","33,622","--"
-"Undetermined Intent","45 to 49","Vermont","Black","--","557","--"
-"Undetermined Intent","45 to 49","Virginia","White","--","354,190","--"
-"Undetermined Intent","45 to 49","Virginia","Black","--","100,195","--"
-"Undetermined Intent","45 to 49","Washington","White","--","352,332","--"
-"Undetermined Intent","45 to 49","Washington","Black","--","21,870","--"
-"Undetermined Intent","45 to 49","West Virginia","White","--","100,664","--"
-"Undetermined Intent","45 to 49","West Virginia","Black","--","3,771","--"
-"Undetermined Intent","45 to 49","Wisconsin","White","--","289,875","--"
-"Undetermined Intent","45 to 49","Wisconsin","Black","--","20,518","--"
-"Undetermined Intent","45 to 49","Wyoming","White","--","30,461","--"
-"Undetermined Intent","45 to 49","Wyoming","Black","--","385","--"
-"Undetermined Intent","50 to 54","Alabama","White","--","230,160","--"
-"Undetermined Intent","50 to 54","Alabama","Black","--","79,545","--"
-"Undetermined Intent","50 to 54","Alaska","White","--","29,697","--"
-"Undetermined Intent","50 to 54","Alaska","Black","--","1,458","--"
-"Undetermined Intent","50 to 54","Arizona","White","12**","362,586","3.31"
-"Undetermined Intent","50 to 54","Arizona","Black","--","22,930","--"
-"Undetermined Intent","50 to 54","Arkansas","White","--","149,736","--"
-"Undetermined Intent","50 to 54","Arkansas","Black","--","25,758","--"
-"Undetermined Intent","50 to 54","California","White","15**","1,196,778","1.25"
-"Undetermined Intent","50 to 54","California","Black","--","104,593","--"
-"Undetermined Intent","50 to 54","Colorado","White","--","313,108","--"
-"Undetermined Intent","50 to 54","Colorado","Black","--","15,986","--"
-"Undetermined Intent","50 to 54","Connecticut","White","--","193,941","--"
-"Undetermined Intent","50 to 54","Connecticut","Black","--","29,910","--"
-"Undetermined Intent","50 to 54","Delaware","White","--","42,249","--"
-"Undetermined Intent","50 to 54","Delaware","Black","--","15,385","--"
-"Undetermined Intent","50 to 54","District of Columbia","White","--","15,556","--"
-"Undetermined Intent","50 to 54","District of Columbia","Black","--","16,853","--"
-"Undetermined Intent","50 to 54","Florida","White","--","797,159","--"
-"Undetermined Intent","50 to 54","Florida","Black","--","163,423","--"
-"Undetermined Intent","50 to 54","Georgia","White","--","440,630","--"
-"Undetermined Intent","50 to 54","Georgia","Black","--","228,504","--"
-"Undetermined Intent","50 to 54","Hawaii","White","--","20,450","--"
-"Undetermined Intent","50 to 54","Hawaii","Black","--","1,610","--"
-"Undetermined Intent","50 to 54","Idaho","White","--","102,571","--"
-"Undetermined Intent","50 to 54","Idaho","Black","--","811","--"
-"Undetermined Intent","50 to 54","Illinois","White","--","618,434","--"
-"Undetermined Intent","50 to 54","Illinois","Black","--","112,423","--"
-"Undetermined Intent","50 to 54","Indiana","White","12**","363,088","3.31"
-"Undetermined Intent","50 to 54","Indiana","Black","--","39,279","--"
-"Undetermined Intent","50 to 54","Iowa","White","--","170,256","--"
-"Undetermined Intent","50 to 54","Iowa","Black","--","6,451","--"
-"Undetermined Intent","50 to 54","Kansas","White","--","145,023","--"
-"Undetermined Intent","50 to 54","Kansas","Black","--","9,442","--"
-"Undetermined Intent","50 to 54","Kentucky","White","--","255,821","--"
-"Undetermined Intent","50 to 54","Kentucky","Black","--","22,112","--"
-"Undetermined Intent","50 to 54","Louisiana","White","--","178,722","--"
-"Undetermined Intent","50 to 54","Louisiana","Black","--","79,954","--"
-"Undetermined Intent","50 to 54","Maine","White","--","86,303","--"
-"Undetermined Intent","50 to 54","Maine","Black","--","1,313","--"
-"Undetermined Intent","50 to 54","Maryland","White","60","230,643","26.01"
-"Undetermined Intent","50 to 54","Maryland","Black","54","132,217","40.84"
-"Undetermined Intent","50 to 54","Massachusetts","White","--","370,307","--"
-"Undetermined Intent","50 to 54","Massachusetts","Black","--","38,906","--"
-"Undetermined Intent","50 to 54","Michigan","White","44","511,545","8.60"
-"Undetermined Intent","50 to 54","Michigan","Black","--","88,964","--"
-"Undetermined Intent","50 to 54","Minnesota","White","--","293,405","--"
-"Undetermined Intent","50 to 54","Minnesota","Black","--","21,647","--"
-"Undetermined Intent","50 to 54","Mississippi","White","--","111,490","--"
-"Undetermined Intent","50 to 54","Mississippi","Black","--","64,850","--"
-"Undetermined Intent","50 to 54","Missouri","White","--","312,767","--"
-"Undetermined Intent","50 to 54","Missouri","Black","--","40,921","--"
-"Undetermined Intent","50 to 54","Montana","White","--","56,998","--"
-"Undetermined Intent","50 to 54","Montana","Black","--","302","--"
-"Undetermined Intent","50 to 54","Nebraska","White","--","98,455","--"
-"Undetermined Intent","50 to 54","Nebraska","Black","--","5,237","--"
-"Undetermined Intent","50 to 54","Nevada","White","--","152,480","--"
-"Undetermined Intent","50 to 54","Nevada","Black","--","19,693","--"
-"Undetermined Intent","50 to 54","New Hampshire","White","--","88,442","--"
-"Undetermined Intent","50 to 54","New Hampshire","Black","--","1,787","--"
-"Undetermined Intent","50 to 54","New Jersey","White","--","445,025","--"
-"Undetermined Intent","50 to 54","New Jersey","Black","--","94,105","--"
-"Undetermined Intent","50 to 54","New Mexico","White","--","98,596","--"
-"Undetermined Intent","50 to 54","New Mexico","Black","--","2,885","--"
-"Undetermined Intent","50 to 54","New York","White","23","875,135","2.63"
-"Undetermined Intent","50 to 54","New York","Black","--","220,216","--"
-"Undetermined Intent","50 to 54","North Carolina","White","--","509,044","--"
-"Undetermined Intent","50 to 54","North Carolina","Black","--","149,036","--"
-"Undetermined Intent","50 to 54","North Dakota","White","--","35,160","--"
-"Undetermined Intent","50 to 54","North Dakota","Black","--","1,031","--"
-"Undetermined Intent","50 to 54","Ohio","White","--","617,117","--"
-"Undetermined Intent","50 to 54","Ohio","Black","--","89,785","--"
-"Undetermined Intent","50 to 54","Oklahoma","White","--","178,052","--"
-"Undetermined Intent","50 to 54","Oklahoma","Black","--","16,942","--"
-"Undetermined Intent","50 to 54","Oregon","White","--","227,838","--"
-"Undetermined Intent","50 to 54","Oregon","Black","--","5,577","--"
-"Undetermined Intent","50 to 54","Pennsylvania","White","--","678,924","--"
-"Undetermined Intent","50 to 54","Pennsylvania","Black","--","90,890","--"
-"Undetermined Intent","50 to 54","Rhode Island","White","--","59,898","--"
-"Undetermined Intent","50 to 54","Rhode Island","Black","--","5,724","--"
-"Undetermined Intent","50 to 54","South Carolina","White","--","236,806","--"
-"Undetermined Intent","50 to 54","South Carolina","Black","--","81,913","--"
-"Undetermined Intent","50 to 54","South Dakota","White","--","42,947","--"
-"Undetermined Intent","50 to 54","South Dakota","Black","--","946","--"
-"Undetermined Intent","50 to 54","Tennessee","White","--","367,389","--"
-"Undetermined Intent","50 to 54","Tennessee","Black","--","69,961","--"
-"Undetermined Intent","50 to 54","Texas","White","--","862,888","--"
-"Undetermined Intent","50 to 54","Texas","Black","--","180,409","--"
-"Undetermined Intent","50 to 54","Utah","White","--","157,258","--"
-"Undetermined Intent","50 to 54","Utah","Black","--","2,519","--"
-"Undetermined Intent","50 to 54","Vermont","White","--","38,919","--"
-"Undetermined Intent","50 to 54","Vermont","Black","--","540","--"
-"Undetermined Intent","50 to 54","Virginia","White","--","388,625","--"
-"Undetermined Intent","50 to 54","Virginia","Black","--","106,634","--"
-"Undetermined Intent","50 to 54","Washington","White","--","377,009","--"
-"Undetermined Intent","50 to 54","Washington","Black","--","20,901","--"
-"Undetermined Intent","50 to 54","West Virginia","White","--","109,466","--"
-"Undetermined Intent","50 to 54","West Virginia","Black","--","3,809","--"
-"Undetermined Intent","50 to 54","Wisconsin","White","--","323,134","--"
-"Undetermined Intent","50 to 54","Wisconsin","Black","--","20,808","--"
-"Undetermined Intent","50 to 54","Wyoming","White","--","30,535","--"
-"Undetermined Intent","50 to 54","Wyoming","Black","--","329","--"
-"Undetermined Intent","55 to 59","Alabama","White","--","234,725","--"
-"Undetermined Intent","55 to 59","Alabama","Black","--","80,890","--"
-"Undetermined Intent","55 to 59","Alaska","White","--","30,238","--"
-"Undetermined Intent","55 to 59","Alaska","Black","--","1,302","--"
-"Undetermined Intent","55 to 59","Arizona","White","11**","365,531","3.01"
-"Undetermined Intent","55 to 59","Arizona","Black","--","20,578","--"
-"Undetermined Intent","55 to 59","Arkansas","White","--","153,296","--"
-"Undetermined Intent","55 to 59","Arkansas","Black","--","26,321","--"
-"Undetermined Intent","55 to 59","California","White","--","1,171,798","--"
-"Undetermined Intent","55 to 59","California","Black","--","106,400","--"
-"Undetermined Intent","55 to 59","Colorado","White","11**","298,759","3.68"
-"Undetermined Intent","55 to 59","Colorado","Black","--","14,192","--"
-"Undetermined Intent","55 to 59","Connecticut","White","--","215,797","--"
-"Undetermined Intent","55 to 59","Connecticut","Black","--","29,326","--"
-"Undetermined Intent","55 to 59","Delaware","White","--","49,603","--"
-"Undetermined Intent","55 to 59","Delaware","Black","--","15,814","--"
-"Undetermined Intent","55 to 59","District of Columbia","White","--","13,226","--"
-"Undetermined Intent","55 to 59","District of Columbia","Black","--","17,696","--"
-"Undetermined Intent","55 to 59","Florida","White","--","840,402","--"
-"Undetermined Intent","55 to 59","Florida","Black","--","160,333","--"
-"Undetermined Intent","55 to 59","Georgia","White","--","429,177","--"
-"Undetermined Intent","55 to 59","Georgia","Black","--","221,167","--"
-"Undetermined Intent","55 to 59","Hawaii","White","--","21,573","--"
-"Undetermined Intent","55 to 59","Hawaii","Black","--","1,405","--"
-"Undetermined Intent","55 to 59","Idaho","White","--","102,715","--"
-"Undetermined Intent","55 to 59","Idaho","Black","--","716","--"
-"Undetermined Intent","55 to 59","Illinois","White","--","634,131","--"
-"Undetermined Intent","55 to 59","Illinois","Black","--","109,938","--"
-"Undetermined Intent","55 to 59","Indiana","White","17**","373,185","4.56"
-"Undetermined Intent","55 to 59","Indiana","Black","--","36,342","--"
-"Undetermined Intent","55 to 59","Iowa","White","--","181,684","--"
-"Undetermined Intent","55 to 59","Iowa","Black","--","5,338","--"
-"Undetermined Intent","55 to 59","Kansas","White","--","152,533","--"
-"Undetermined Intent","55 to 59","Kansas","Black","--","9,457","--"
-"Undetermined Intent","55 to 59","Kentucky","White","--","263,286","--"
-"Undetermined Intent","55 to 59","Kentucky","Black","--","21,934","--"
-"Undetermined Intent","55 to 59","Louisiana","White","--","188,289","--"
-"Undetermined Intent","55 to 59","Louisiana","Black","--","85,950","--"
-"Undetermined Intent","55 to 59","Maine","White","--","96,539","--"
-"Undetermined Intent","55 to 59","Maine","Black","--","1,167","--"
-"Undetermined Intent","55 to 59","Maryland","White","57","249,981","22.80"
-"Undetermined Intent","55 to 59","Maryland","Black","68","134,593","50.52"
-"Undetermined Intent","55 to 59","Massachusetts","White","12**","405,391","2.96"
-"Undetermined Intent","55 to 59","Massachusetts","Black","--","37,882","--"
-"Undetermined Intent","55 to 59","Michigan","White","32","552,060","5.80"
-"Undetermined Intent","55 to 59","Michigan","Black","15**","81,712","18.36"
-"Undetermined Intent","55 to 59","Minnesota","White","--","321,151","--"
-"Undetermined Intent","55 to 59","Minnesota","Black","--","18,201","--"
-"Undetermined Intent","55 to 59","Mississippi","White","--","113,579","--"
-"Undetermined Intent","55 to 59","Mississippi","Black","--","65,346","--"
-"Undetermined Intent","55 to 59","Missouri","White","--","332,936","--"
-"Undetermined Intent","55 to 59","Missouri","Black","--","41,140","--"
-"Undetermined Intent","55 to 59","Montana","White","--","61,258","--"
-"Undetermined Intent","55 to 59","Montana","Black","--","288","--"
-"Undetermined Intent","55 to 59","Nebraska","White","--","103,089","--"
-"Undetermined Intent","55 to 59","Nebraska","Black","--","4,975","--"
-"Undetermined Intent","55 to 59","Nevada","White","--","149,568","--"
-"Undetermined Intent","55 to 59","Nevada","Black","--","18,444","--"
-"Undetermined Intent","55 to 59","New Hampshire","White","--","99,991","--"
-"Undetermined Intent","55 to 59","New Hampshire","Black","--","1,627","--"
-"Undetermined Intent","55 to 59","New Jersey","White","--","476,056","--"
-"Undetermined Intent","55 to 59","New Jersey","Black","--","92,532","--"
-"Undetermined Intent","55 to 59","New Mexico","White","--","104,282","--"
-"Undetermined Intent","55 to 59","New Mexico","Black","--","3,054","--"
-"Undetermined Intent","55 to 59","New York","White","22","933,897","2.36"
-"Undetermined Intent","55 to 59","New York","Black","10**","231,500","4.32"
-"Undetermined Intent","55 to 59","North Carolina","White","--","505,897","--"
-"Undetermined Intent","55 to 59","North Carolina","Black","--","146,973","--"
-"Undetermined Intent","55 to 59","North Dakota","White","--","38,376","--"
-"Undetermined Intent","55 to 59","North Dakota","Black","--","866","--"
-"Undetermined Intent","55 to 59","Ohio","White","--","643,289","--"
-"Undetermined Intent","55 to 59","Ohio","Black","--","85,533","--"
-"Undetermined Intent","55 to 59","Oklahoma","White","--","181,020","--"
-"Undetermined Intent","55 to 59","Oklahoma","Black","--","16,816","--"
-"Undetermined Intent","55 to 59","Oregon","White","--","220,261","--"
-"Undetermined Intent","55 to 59","Oregon","Black","--","5,098","--"
-"Undetermined Intent","55 to 59","Pennsylvania","White","--","735,977","--"
-"Undetermined Intent","55 to 59","Pennsylvania","Black","--","89,822","--"
-"Undetermined Intent","55 to 59","Rhode Island","White","--","66,740","--"
-"Undetermined Intent","55 to 59","Rhode Island","Black","--","5,330","--"
-"Undetermined Intent","55 to 59","South Carolina","White","--","246,648","--"
-"Undetermined Intent","55 to 59","South Carolina","Black","--","86,342","--"
-"Undetermined Intent","55 to 59","South Dakota","White","--","48,595","--"
-"Undetermined Intent","55 to 59","South Dakota","Black","--","745","--"
-"Undetermined Intent","55 to 59","Tennessee","White","--","372,016","--"
-"Undetermined Intent","55 to 59","Tennessee","Black","--","68,806","--"
-"Undetermined Intent","55 to 59","Texas","White","--","786,434","--"
-"Undetermined Intent","55 to 59","Texas","Black","--","164,585","--"
-"Undetermined Intent","55 to 59","Utah","White","--","140,905","--"
-"Undetermined Intent","55 to 59","Utah","Black","--","1,954","--"
-"Undetermined Intent","55 to 59","Vermont","White","--","42,825","--"
-"Undetermined Intent","55 to 59","Vermont","Black","--","445","--"
-"Undetermined Intent","55 to 59","Virginia","White","--","400,334","--"
-"Undetermined Intent","55 to 59","Virginia","Black","--","112,976","--"
-"Undetermined Intent","55 to 59","Washington","White","--","376,019","--"
-"Undetermined Intent","55 to 59","Washington","Black","--","18,937","--"
-"Undetermined Intent","55 to 59","West Virginia","White","--","111,312","--"
-"Undetermined Intent","55 to 59","West Virginia","Black","--","3,790","--"
-"Undetermined Intent","55 to 59","Wisconsin","White","--","362,313","--"
-"Undetermined Intent","55 to 59","Wisconsin","Black","--","18,804","--"
-"Undetermined Intent","55 to 59","Wyoming","White","--","31,656","--"
-"Undetermined Intent","55 to 59","Wyoming","Black","--","301","--"
-"Undetermined Intent","60 to 64","Alabama","White","--","241,376","--"
-"Undetermined Intent","60 to 64","Alabama","Black","--","81,363","--"
-"Undetermined Intent","60 to 64","Alaska","White","--","32,498","--"
-"Undetermined Intent","60 to 64","Alaska","Black","--","1,338","--"
-"Undetermined Intent","60 to 64","Arizona","White","--","387,349","--"
-"Undetermined Intent","60 to 64","Arizona","Black","--","19,164","--"
-"Undetermined Intent","60 to 64","Arkansas","White","--","158,173","--"
-"Undetermined Intent","60 to 64","Arkansas","Black","--","26,649","--"
-"Undetermined Intent","60 to 64","California","White","--","1,134,448","--"
-"Undetermined Intent","60 to 64","California","Black","--","102,740","--"
-"Undetermined Intent","60 to 64","Colorado","White","--","315,328","--"
-"Undetermined Intent","60 to 64","Colorado","Black","--","13,476","--"
-"Undetermined Intent","60 to 64","Connecticut","White","--","218,014","--"
-"Undetermined Intent","60 to 64","Connecticut","Black","--","25,283","--"
-"Undetermined Intent","60 to 64","Delaware","White","--","56,054","--"
-"Undetermined Intent","60 to 64","Delaware","Black","--","14,945","--"
-"Undetermined Intent","60 to 64","District of Columbia","White","--","11,217","--"
-"Undetermined Intent","60 to 64","District of Columbia","Black","--","18,328","--"
-"Undetermined Intent","60 to 64","Florida","White","--","844,101","--"
-"Undetermined Intent","60 to 64","Florida","Black","--","150,101","--"
-"Undetermined Intent","60 to 64","Georgia","White","--","415,081","--"
-"Undetermined Intent","60 to 64","Georgia","Black","--","197,242","--"
-"Undetermined Intent","60 to 64","Hawaii","White","--","24,618","--"
-"Undetermined Intent","60 to 64","Hawaii","Black","--","1,270","--"
-"Undetermined Intent","60 to 64","Idaho","White","--","111,543","--"
-"Undetermined Intent","60 to 64","Idaho","Black","--","719","--"
-"Undetermined Intent","60 to 64","Illinois","White","--","649,592","--"
-"Undetermined Intent","60 to 64","Illinois","Black","--","109,112","--"
-"Undetermined Intent","60 to 64","Indiana","White","15**","385,796","3.89"
-"Undetermined Intent","60 to 64","Indiana","Black","--","35,576","--"
-"Undetermined Intent","60 to 64","Iowa","White","--","198,641","--"
-"Undetermined Intent","60 to 64","Iowa","Black","--","4,671","--"
-"Undetermined Intent","60 to 64","Kansas","White","--","166,056","--"
-"Undetermined Intent","60 to 64","Kansas","Black","--","9,750","--"
-"Undetermined Intent","60 to 64","Kentucky","White","--","266,410","--"
-"Undetermined Intent","60 to 64","Kentucky","Black","--","22,036","--"
-"Undetermined Intent","60 to 64","Louisiana","White","--","198,660","--"
-"Undetermined Intent","60 to 64","Louisiana","Black","--","86,017","--"
-"Undetermined Intent","60 to 64","Maine","White","--","105,788","--"
-"Undetermined Intent","60 to 64","Maine","Black","--","852","--"
-"Undetermined Intent","60 to 64","Maryland","White","44","249,697","17.62"
-"Undetermined Intent","60 to 64","Maryland","Black","62","123,509","50.20"
-"Undetermined Intent","60 to 64","Massachusetts","White","14**","407,859","3.43"
-"Undetermined Intent","60 to 64","Massachusetts","Black","--","33,266","--"
-"Undetermined Intent","60 to 64","Michigan","White","34","587,417","5.79"
-"Undetermined Intent","60 to 64","Michigan","Black","14**","78,376","17.86"
-"Undetermined Intent","60 to 64","Minnesota","White","--","347,478","--"
-"Undetermined Intent","60 to 64","Minnesota","Black","--","15,058","--"
-"Undetermined Intent","60 to 64","Mississippi","White","--","119,015","--"
-"Undetermined Intent","60 to 64","Mississippi","Black","--","64,828","--"
-"Undetermined Intent","60 to 64","Missouri","White","--","359,552","--"
-"Undetermined Intent","60 to 64","Missouri","Black","--","41,032","--"
-"Undetermined Intent","60 to 64","Montana","White","--","72,487","--"
-"Undetermined Intent","60 to 64","Montana","Black","--","245","--"
-"Undetermined Intent","60 to 64","Nebraska","White","--","112,842","--"
-"Undetermined Intent","60 to 64","Nebraska","Black","--","4,681","--"
-"Undetermined Intent","60 to 64","Nevada","White","--","149,147","--"
-"Undetermined Intent","60 to 64","Nevada","Black","--","17,074","--"
-"Undetermined Intent","60 to 64","New Hampshire","White","--","106,655","--"
-"Undetermined Intent","60 to 64","New Hampshire","Black","--","1,161","--"
-"Undetermined Intent","60 to 64","New Jersey","White","--","473,725","--"
-"Undetermined Intent","60 to 64","New Jersey","Black","--","82,933","--"
-"Undetermined Intent","60 to 64","New Mexico","White","--","117,136","--"
-"Undetermined Intent","60 to 64","New Mexico","Black","--","3,077","--"
-"Undetermined Intent","60 to 64","New York","White","16**","942,358","1.70"
-"Undetermined Intent","60 to 64","New York","Black","--","216,089","--"
-"Undetermined Intent","60 to 64","North Carolina","White","--","511,117","--"
-"Undetermined Intent","60 to 64","North Carolina","Black","--","139,348","--"
-"Undetermined Intent","60 to 64","North Dakota","White","--","44,024","--"
-"Undetermined Intent","60 to 64","North Dakota","Black","--","675","--"
-"Undetermined Intent","60 to 64","Ohio","White","--","682,459","--"
-"Undetermined Intent","60 to 64","Ohio","Black","--","87,564","--"
-"Undetermined Intent","60 to 64","Oklahoma","White","--","195,839","--"
-"Undetermined Intent","60 to 64","Oklahoma","Black","--","16,866","--"
-"Undetermined Intent","60 to 64","Oregon","White","--","239,234","--"
-"Undetermined Intent","60 to 64","Oregon","Black","--","4,587","--"
-"Undetermined Intent","60 to 64","Pennsylvania","White","--","783,215","--"
-"Undetermined Intent","60 to 64","Pennsylvania","Black","--","84,574","--"
-"Undetermined Intent","60 to 64","Rhode Island","White","--","68,095","--"
-"Undetermined Intent","60 to 64","Rhode Island","Black","--","4,791","--"
-"Undetermined Intent","60 to 64","South Carolina","White","--","258,055","--"
-"Undetermined Intent","60 to 64","South Carolina","Black","--","84,546","--"
-"Undetermined Intent","60 to 64","South Dakota","White","--","56,329","--"
-"Undetermined Intent","60 to 64","South Dakota","Black","--","648","--"
-"Undetermined Intent","60 to 64","Tennessee","White","--","372,170","--"
-"Undetermined Intent","60 to 64","Tennessee","Black","--","66,600","--"
-"Undetermined Intent","60 to 64","Texas","White","--","743,019","--"
-"Undetermined Intent","60 to 64","Texas","Black","--","149,980","--"
-"Undetermined Intent","60 to 64","Utah","White","--","144,353","--"
-"Undetermined Intent","60 to 64","Utah","Black","--","1,761","--"
-"Undetermined Intent","60 to 64","Vermont","White","--","47,554","--"
-"Undetermined Intent","60 to 64","Vermont","Black","--","353","--"
-"Undetermined Intent","60 to 64","Virginia","White","--","398,877","--"
-"Undetermined Intent","60 to 64","Virginia","Black","--","107,601","--"
-"Undetermined Intent","60 to 64","Washington","White","--","398,179","--"
-"Undetermined Intent","60 to 64","Washington","Black","--","17,278","--"
-"Undetermined Intent","60 to 64","West Virginia","White","--","117,020","--"
-"Undetermined Intent","60 to 64","West Virginia","Black","--","3,943","--"
-"Undetermined Intent","60 to 64","Wisconsin","White","10**","387,352","2.58"
-"Undetermined Intent","60 to 64","Wisconsin","Black","--","17,434","--"
-"Undetermined Intent","60 to 64","Wyoming","White","--","37,645","--"
-"Undetermined Intent","60 to 64","Wyoming","Black","--","373","--"
-"Undetermined Intent","65 to 69","Alabama","White","--","218,808","--"
-"Undetermined Intent","65 to 69","Alabama","Black","--","70,663","--"
-"Undetermined Intent","65 to 69","Alaska","White","--","29,323","--"
-"Undetermined Intent","65 to 69","Alaska","Black","--","1,013","--"
-"Undetermined Intent","65 to 69","Arizona","White","--","368,867","--"
-"Undetermined Intent","65 to 69","Arizona","Black","--","14,885","--"
-"Undetermined Intent","65 to 69","Arkansas","White","--","143,209","--"
-"Undetermined Intent","65 to 69","Arkansas","Black","--","23,363","--"
-"Undetermined Intent","65 to 69","California","White","--","975,884","--"
-"Undetermined Intent","65 to 69","California","Black","--","79,665","--"
-"Undetermined Intent","65 to 69","Colorado","White","--","284,195","--"
-"Undetermined Intent","65 to 69","Colorado","Black","--","10,313","--"
-"Undetermined Intent","65 to 69","Connecticut","White","--","185,845","--"
-"Undetermined Intent","65 to 69","Connecticut","Black","--","18,418","--"
-"Undetermined Intent","65 to 69","Delaware","White","--","55,037","--"
-"Undetermined Intent","65 to 69","Delaware","Black","--","12,102","--"
-"Undetermined Intent","65 to 69","District of Columbia","White","--","9,872","--"
-"Undetermined Intent","65 to 69","District of Columbia","Black","--","16,123","--"
-"Undetermined Intent","65 to 69","Florida","White","--","773,721","--"
-"Undetermined Intent","65 to 69","Florida","Black","--","124,744","--"
-"Undetermined Intent","65 to 69","Georgia","White","--","363,604","--"
-"Undetermined Intent","65 to 69","Georgia","Black","--","158,699","--"
-"Undetermined Intent","65 to 69","Hawaii","White","--","25,667","--"
-"Undetermined Intent","65 to 69","Hawaii","Black","--","884","--"
-"Undetermined Intent","65 to 69","Idaho","White","--","104,996","--"
-"Undetermined Intent","65 to 69","Idaho","Black","--","553","--"
-"Undetermined Intent","65 to 69","Illinois","White","--","568,698","--"
-"Undetermined Intent","65 to 69","Illinois","Black","--","89,860","--"
-"Undetermined Intent","65 to 69","Indiana","White","--","344,251","--"
-"Undetermined Intent","65 to 69","Indiana","Black","--","28,873","--"
-"Undetermined Intent","65 to 69","Iowa","White","--","179,713","--"
-"Undetermined Intent","65 to 69","Iowa","Black","--","3,176","--"
-"Undetermined Intent","65 to 69","Kansas","White","--","150,815","--"
-"Undetermined Intent","65 to 69","Kansas","Black","--","7,654","--"
-"Undetermined Intent","65 to 69","Kentucky","White","--","239,218","--"
-"Undetermined Intent","65 to 69","Kentucky","Black","--","18,050","--"
-"Undetermined Intent","65 to 69","Louisiana","White","--","180,005","--"
-"Undetermined Intent","65 to 69","Louisiana","Black","--","74,556","--"
-"Undetermined Intent","65 to 69","Maine","White","--","98,472","--"
-"Undetermined Intent","65 to 69","Maine","Black","--","593","--"
-"Undetermined Intent","65 to 69","Maryland","White","17**","214,811","7.91"
-"Undetermined Intent","65 to 69","Maryland","Black","35","96,983","36.09"
-"Undetermined Intent","65 to 69","Massachusetts","White","--","355,213","--"
-"Undetermined Intent","65 to 69","Massachusetts","Black","--","25,636","--"
-"Undetermined Intent","65 to 69","Michigan","White","22","534,220","4.12"
-"Undetermined Intent","65 to 69","Michigan","Black","14**","68,318","20.49"
-"Undetermined Intent","65 to 69","Minnesota","White","--","303,105","--"
-"Undetermined Intent","65 to 69","Minnesota","Black","--","10,420","--"
-"Undetermined Intent","65 to 69","Mississippi","White","--","108,062","--"
-"Undetermined Intent","65 to 69","Mississippi","Black","--","56,073","--"
-"Undetermined Intent","65 to 69","Missouri","White","--","317,274","--"
-"Undetermined Intent","65 to 69","Missouri","Black","--","33,398","--"
-"Undetermined Intent","65 to 69","Montana","White","--","70,593","--"
-"Undetermined Intent","65 to 69","Montana","Black","--","184","--"
-"Undetermined Intent","65 to 69","Nebraska","White","--","101,595","--"
-"Undetermined Intent","65 to 69","Nebraska","Black","--","3,354","--"
-"Undetermined Intent","65 to 69","Nevada","White","--","136,363","--"
-"Undetermined Intent","65 to 69","Nevada","Black","--","13,883","--"
-"Undetermined Intent","65 to 69","New Hampshire","White","--","91,513","--"
-"Undetermined Intent","65 to 69","New Hampshire","Black","--","783","--"
-"Undetermined Intent","65 to 69","New Jersey","White","--","403,400","--"
-"Undetermined Intent","65 to 69","New Jersey","Black","--","62,349","--"
-"Undetermined Intent","65 to 69","New Mexico","White","--","111,728","--"
-"Undetermined Intent","65 to 69","New Mexico","Black","--","2,567","--"
-"Undetermined Intent","65 to 69","New York","White","13**","828,108","1.57"
-"Undetermined Intent","65 to 69","New York","Black","--","170,532","--"
-"Undetermined Intent","65 to 69","North Carolina","White","--","462,212","--"
-"Undetermined Intent","65 to 69","North Carolina","Black","--","118,849","--"
-"Undetermined Intent","65 to 69","North Dakota","White","--","40,236","--"
-"Undetermined Intent","65 to 69","North Dakota","Black","--","361","--"
-"Undetermined Intent","65 to 69","Ohio","White","--","618,913","--"
-"Undetermined Intent","65 to 69","Ohio","Black","--","72,436","--"
-"Undetermined Intent","65 to 69","Oklahoma","White","--","176,678","--"
-"Undetermined Intent","65 to 69","Oklahoma","Black","--","13,784","--"
-"Undetermined Intent","65 to 69","Oregon","White","--","239,323","--"
-"Undetermined Intent","65 to 69","Oregon","Black","--","3,645","--"
-"Undetermined Intent","65 to 69","Pennsylvania","White","--","717,464","--"
-"Undetermined Intent","65 to 69","Pennsylvania","Black","--","68,715","--"
-"Undetermined Intent","65 to 69","Rhode Island","White","--","60,525","--"
-"Undetermined Intent","65 to 69","Rhode Island","Black","--","3,829","--"
-"Undetermined Intent","65 to 69","South Carolina","White","--","244,813","--"
-"Undetermined Intent","65 to 69","South Carolina","Black","--","74,236","--"
-"Undetermined Intent","65 to 69","South Dakota","White","--","52,939","--"
-"Undetermined Intent","65 to 69","South Dakota","Black","--","425","--"
-"Undetermined Intent","65 to 69","Tennessee","White","--","335,602","--"
-"Undetermined Intent","65 to 69","Tennessee","Black","--","56,286","--"
-"Undetermined Intent","65 to 69","Texas","White","--","612,306","--"
-"Undetermined Intent","65 to 69","Texas","Black","--","116,514","--"
-"Undetermined Intent","65 to 69","Utah","White","--","129,446","--"
-"Undetermined Intent","65 to 69","Utah","Black","--","1,154","--"
-"Undetermined Intent","65 to 69","Vermont","White","--","44,142","--"
-"Undetermined Intent","65 to 69","Vermont","Black","--","308","--"
-"Undetermined Intent","65 to 69","Virginia","White","--","349,570","--"
-"Undetermined Intent","65 to 69","Virginia","Black","--","88,125","--"
-"Undetermined Intent","65 to 69","Washington","White","--","369,741","--"
-"Undetermined Intent","65 to 69","Washington","Black","--","13,133","--"
-"Undetermined Intent","65 to 69","West Virginia","White","--","112,800","--"
-"Undetermined Intent","65 to 69","West Virginia","Black","--","3,724","--"
-"Undetermined Intent","65 to 69","Wisconsin","White","--","343,002","--"
-"Undetermined Intent","65 to 69","Wisconsin","Black","--","13,511","--"
-"Undetermined Intent","65 to 69","Wyoming","White","--","36,161","--"
-"Undetermined Intent","65 to 69","Wyoming","Black","--","330","--"
-"Undetermined Intent","70 to 74","Alabama","White","--","184,518","--"
-"Undetermined Intent","70 to 74","Alabama","Black","--","52,309","--"
-"Undetermined Intent","70 to 74","Alaska","White","--","21,908","--"
-"Undetermined Intent","70 to 74","Alaska","Black","--","641","--"
-"Undetermined Intent","70 to 74","Arizona","White","--","331,009","--"
-"Undetermined Intent","70 to 74","Arizona","Black","--","10,831","--"
-"Undetermined Intent","70 to 74","Arkansas","White","--","121,280","--"
-"Undetermined Intent","70 to 74","Arkansas","Black","--","16,676","--"
-"Undetermined Intent","70 to 74","California","White","--","789,014","--"
-"Undetermined Intent","70 to 74","California","Black","--","58,171","--"
-"Undetermined Intent","70 to 74","Colorado","White","--","231,377","--"
-"Undetermined Intent","70 to 74","Colorado","Black","--","7,034","--"
-"Undetermined Intent","70 to 74","Connecticut","White","--","146,054","--"
-"Undetermined Intent","70 to 74","Connecticut","Black","--","13,070","--"
-"Undetermined Intent","70 to 74","Delaware","White","--","46,181","--"
-"Undetermined Intent","70 to 74","Delaware","Black","--","8,863","--"
-"Undetermined Intent","70 to 74","District of Columbia","White","--","9,281","--"
-"Undetermined Intent","70 to 74","District of Columbia","Black","--","12,135","--"
-"Undetermined Intent","70 to 74","Florida","White","--","694,340","--"
-"Undetermined Intent","70 to 74","Florida","Black","--","92,155","--"
-"Undetermined Intent","70 to 74","Georgia","White","--","306,108","--"
-"Undetermined Intent","70 to 74","Georgia","Black","--","117,118","--"
-"Undetermined Intent","70 to 74","Hawaii","White","--","24,474","--"
-"Undetermined Intent","70 to 74","Hawaii","Black","--","681","--"
-"Undetermined Intent","70 to 74","Idaho","White","--","86,122","--"
-"Undetermined Intent","70 to 74","Idaho","Black","--","295","--"
-"Undetermined Intent","70 to 74","Illinois","White","--","455,473","--"
-"Undetermined Intent","70 to 74","Illinois","Black","--","67,639","--"
-"Undetermined Intent","70 to 74","Indiana","White","--","276,868","--"
-"Undetermined Intent","70 to 74","Indiana","Black","--","20,494","--"
-"Undetermined Intent","70 to 74","Iowa","White","--","146,058","--"
-"Undetermined Intent","70 to 74","Iowa","Black","--","2,143","--"
-"Undetermined Intent","70 to 74","Kansas","White","--","120,373","--"
-"Undetermined Intent","70 to 74","Kansas","Black","--","5,347","--"
-"Undetermined Intent","70 to 74","Kentucky","White","--","197,198","--"
-"Undetermined Intent","70 to 74","Kentucky","Black","--","13,068","--"
-"Undetermined Intent","70 to 74","Louisiana","White","--","147,133","--"
-"Undetermined Intent","70 to 74","Louisiana","Black","--","54,927","--"
-"Undetermined Intent","70 to 74","Maine","White","--","81,896","--"
-"Undetermined Intent","70 to 74","Maine","Black","--","364","--"
-"Undetermined Intent","70 to 74","Maryland","White","--","175,371","--"
-"Undetermined Intent","70 to 74","Maryland","Black","15**","75,287","19.92"
-"Undetermined Intent","70 to 74","Massachusetts","White","--","290,138","--"
-"Undetermined Intent","70 to 74","Massachusetts","Black","--","18,157","--"
-"Undetermined Intent","70 to 74","Michigan","White","--","430,369","--"
-"Undetermined Intent","70 to 74","Michigan","Black","--","52,772","--"
-"Undetermined Intent","70 to 74","Minnesota","White","--","242,661","--"
-"Undetermined Intent","70 to 74","Minnesota","Black","--","6,722","--"
-"Undetermined Intent","70 to 74","Mississippi","White","--","92,150","--"
-"Undetermined Intent","70 to 74","Mississippi","Black","--","40,514","--"
-"Undetermined Intent","70 to 74","Missouri","White","--","257,208","--"
-"Undetermined Intent","70 to 74","Missouri","Black","--","24,097","--"
-"Undetermined Intent","70 to 74","Montana","White","--","58,647","--"
-"Undetermined Intent","70 to 74","Montana","Black","--","116","--"
-"Undetermined Intent","70 to 74","Nebraska","White","--","82,935","--"
-"Undetermined Intent","70 to 74","Nebraska","Black","--","2,418","--"
-"Undetermined Intent","70 to 74","Nevada","White","--","115,652","--"
-"Undetermined Intent","70 to 74","Nevada","Black","--","10,454","--"
-"Undetermined Intent","70 to 74","New Hampshire","White","--","72,210","--"
-"Undetermined Intent","70 to 74","New Hampshire","Black","--","480","--"
-"Undetermined Intent","70 to 74","New Jersey","White","--","322,055","--"
-"Undetermined Intent","70 to 74","New Jersey","Black","--","45,472","--"
-"Undetermined Intent","70 to 74","New Mexico","White","--","98,360","--"
-"Undetermined Intent","70 to 74","New Mexico","Black","--","1,871","--"
-"Undetermined Intent","70 to 74","New York","White","--","689,039","--"
-"Undetermined Intent","70 to 74","New York","Black","--","127,225","--"
-"Undetermined Intent","70 to 74","North Carolina","White","--","391,721","--"
-"Undetermined Intent","70 to 74","North Carolina","Black","--","90,717","--"
-"Undetermined Intent","70 to 74","North Dakota","White","--","31,127","--"
-"Undetermined Intent","70 to 74","North Dakota","Black","--","213","--"
-"Undetermined Intent","70 to 74","Ohio","White","--","504,041","--"
-"Undetermined Intent","70 to 74","Ohio","Black","--","53,778","--"
-"Undetermined Intent","70 to 74","Oklahoma","White","--","143,402","--"
-"Undetermined Intent","70 to 74","Oklahoma","Black","--","9,961","--"
-"Undetermined Intent","70 to 74","Oregon","White","--","209,195","--"
-"Undetermined Intent","70 to 74","Oregon","Black","--","2,584","--"
-"Undetermined Intent","70 to 74","Pennsylvania","White","--","583,490","--"
-"Undetermined Intent","70 to 74","Pennsylvania","Black","--","50,713","--"
-"Undetermined Intent","70 to 74","Rhode Island","White","--","48,526","--"
-"Undetermined Intent","70 to 74","Rhode Island","Black","--","2,248","--"
-"Undetermined Intent","70 to 74","South Carolina","White","--","213,364","--"
-"Undetermined Intent","70 to 74","South Carolina","Black","--","57,654","--"
-"Undetermined Intent","70 to 74","South Dakota","White","--","41,186","--"
-"Undetermined Intent","70 to 74","South Dakota","Black","--","280","--"
-"Undetermined Intent","70 to 74","Tennessee","White","--","278,596","--"
-"Undetermined Intent","70 to 74","Tennessee","Black","--","40,238","--"
-"Undetermined Intent","70 to 74","Texas","White","--","476,929","--"
-"Undetermined Intent","70 to 74","Texas","Black","--","81,702","--"
-"Undetermined Intent","70 to 74","Utah","White","--","102,765","--"
-"Undetermined Intent","70 to 74","Utah","Black","--","699","--"
-"Undetermined Intent","70 to 74","Vermont","White","--","36,848","--"
-"Undetermined Intent","70 to 74","Vermont","Black","--","174","--"
-"Undetermined Intent","70 to 74","Virginia","White","--","294,063","--"
-"Undetermined Intent","70 to 74","Virginia","Black","--","64,958","--"
-"Undetermined Intent","70 to 74","Washington","White","--","307,141","--"
-"Undetermined Intent","70 to 74","Washington","Black","--","8,601","--"
-"Undetermined Intent","70 to 74","West Virginia","White","--","99,669","--"
-"Undetermined Intent","70 to 74","West Virginia","Black","--","2,691","--"
-"Undetermined Intent","70 to 74","Wisconsin","White","--","275,842","--"
-"Undetermined Intent","70 to 74","Wisconsin","Black","--","9,669","--"
-"Undetermined Intent","70 to 74","Wyoming","White","--","28,136","--"
-"Undetermined Intent","70 to 74","Wyoming","Black","--","238","--"
-"Undetermined Intent","75 to 79","Alabama","White","--","140,104","--"
-"Undetermined Intent","75 to 79","Alabama","Black","--","30,490","--"
-"Undetermined Intent","75 to 79","Alaska","White","--","13,780","--"
-"Undetermined Intent","75 to 79","Alaska","Black","--","340","--"
-"Undetermined Intent","75 to 79","Arizona","White","--","259,218","--"
-"Undetermined Intent","75 to 79","Arizona","Black","--","6,387","--"
-"Undetermined Intent","75 to 79","Arkansas","White","--","92,339","--"
-"Undetermined Intent","75 to 79","Arkansas","Black","--","9,305","--"
-"Undetermined Intent","75 to 79","California","White","--","580,958","--"
-"Undetermined Intent","75 to 79","California","Black","--","38,418","--"
-"Undetermined Intent","75 to 79","Colorado","White","--","156,941","--"
-"Undetermined Intent","75 to 79","Colorado","Black","--","4,030","--"
-"Undetermined Intent","75 to 79","Connecticut","White","--","112,387","--"
-"Undetermined Intent","75 to 79","Connecticut","Black","--","8,954","--"
-"Undetermined Intent","75 to 79","Delaware","White","--","33,500","--"
-"Undetermined Intent","75 to 79","Delaware","Black","--","5,742","--"
-"Undetermined Intent","75 to 79","District of Columbia","White","--","7,171","--"
-"Undetermined Intent","75 to 79","District of Columbia","Black","--","7,913","--"
-"Undetermined Intent","75 to 79","Florida","White","--","564,876","--"
-"Undetermined Intent","75 to 79","Florida","Black","--","60,346","--"
-"Undetermined Intent","75 to 79","Georgia","White","--","230,570","--"
-"Undetermined Intent","75 to 79","Georgia","Black","--","69,728","--"
-"Undetermined Intent","75 to 79","Hawaii","White","--","17,293","--"
-"Undetermined Intent","75 to 79","Hawaii","Black","--","379","--"
-"Undetermined Intent","75 to 79","Idaho","White","--","60,752","--"
-"Undetermined Intent","75 to 79","Idaho","Black","--","145","--"
-"Undetermined Intent","75 to 79","Illinois","White","--","325,487","--"
-"Undetermined Intent","75 to 79","Illinois","Black","--","44,504","--"
-"Undetermined Intent","75 to 79","Indiana","White","--","194,050","--"
-"Undetermined Intent","75 to 79","Indiana","Black","--","12,127","--"
-"Undetermined Intent","75 to 79","Iowa","White","--","101,116","--"
-"Undetermined Intent","75 to 79","Iowa","Black","--","1,154","--"
-"Undetermined Intent","75 to 79","Kansas","White","--","84,520","--"
-"Undetermined Intent","75 to 79","Kansas","Black","--","3,233","--"
-"Undetermined Intent","75 to 79","Kentucky","White","--","138,272","--"
-"Undetermined Intent","75 to 79","Kentucky","Black","--","7,190","--"
-"Undetermined Intent","75 to 79","Louisiana","White","--","106,682","--"
-"Undetermined Intent","75 to 79","Louisiana","Black","--","33,035","--"
-"Undetermined Intent","75 to 79","Maine","White","--","57,614","--"
-"Undetermined Intent","75 to 79","Maine","Black","--","197","--"
-"Undetermined Intent","75 to 79","Maryland","White","--","133,278","--"
-"Undetermined Intent","75 to 79","Maryland","Black","--","47,902","--"
-"Undetermined Intent","75 to 79","Massachusetts","White","--","212,427","--"
-"Undetermined Intent","75 to 79","Massachusetts","Black","--","11,603","--"
-"Undetermined Intent","75 to 79","Michigan","White","--","301,682","--"
-"Undetermined Intent","75 to 79","Michigan","Black","--","33,687","--"
-"Undetermined Intent","75 to 79","Minnesota","White","--","168,004","--"
-"Undetermined Intent","75 to 79","Minnesota","Black","--","3,940","--"
-"Undetermined Intent","75 to 79","Mississippi","White","--","69,918","--"
-"Undetermined Intent","75 to 79","Mississippi","Black","--","23,187","--"
-"Undetermined Intent","75 to 79","Missouri","White","--","186,024","--"
-"Undetermined Intent","75 to 79","Missouri","Black","--","15,316","--"
-"Undetermined Intent","75 to 79","Montana","White","--","39,301","--"
-"Undetermined Intent","75 to 79","Montana","Black","--","48","--"
-"Undetermined Intent","75 to 79","Nebraska","White","--","56,549","--"
-"Undetermined Intent","75 to 79","Nebraska","Black","--","1,446","--"
-"Undetermined Intent","75 to 79","Nevada","White","--","86,617","--"
-"Undetermined Intent","75 to 79","Nevada","Black","--","6,666","--"
-"Undetermined Intent","75 to 79","New Hampshire","White","--","50,635","--"
-"Undetermined Intent","75 to 79","New Hampshire","Black","--","275","--"
-"Undetermined Intent","75 to 79","New Jersey","White","--","243,451","--"
-"Undetermined Intent","75 to 79","New Jersey","Black","--","31,042","--"
-"Undetermined Intent","75 to 79","New Mexico","White","--","70,044","--"
-"Undetermined Intent","75 to 79","New Mexico","Black","--","1,103","--"
-"Undetermined Intent","75 to 79","New York","White","--","508,617","--"
-"Undetermined Intent","75 to 79","New York","Black","--","89,277","--"
-"Undetermined Intent","75 to 79","North Carolina","White","--","292,145","--"
-"Undetermined Intent","75 to 79","North Carolina","Black","--","55,152","--"
-"Undetermined Intent","75 to 79","North Dakota","White","--","21,434","--"
-"Undetermined Intent","75 to 79","North Dakota","Black","--","80","--"
-"Undetermined Intent","75 to 79","Ohio","White","--","350,654","--"
-"Undetermined Intent","75 to 79","Ohio","Black","--","32,868","--"
-"Undetermined Intent","75 to 79","Oklahoma","White","--","106,504","--"
-"Undetermined Intent","75 to 79","Oklahoma","Black","--","5,905","--"
-"Undetermined Intent","75 to 79","Oregon","White","--","147,532","--"
-"Undetermined Intent","75 to 79","Oregon","Black","--","1,442","--"
-"Undetermined Intent","75 to 79","Pennsylvania","White","--","420,801","--"
-"Undetermined Intent","75 to 79","Pennsylvania","Black","--","32,124","--"
-"Undetermined Intent","75 to 79","Rhode Island","White","--","35,055","--"
-"Undetermined Intent","75 to 79","Rhode Island","Black","--","1,540","--"
-"Undetermined Intent","75 to 79","South Carolina","White","--","159,004","--"
-"Undetermined Intent","75 to 79","South Carolina","Black","--","35,919","--"
-"Undetermined Intent","75 to 79","South Dakota","White","--","25,922","--"
-"Undetermined Intent","75 to 79","South Dakota","Black","--","123","--"
-"Undetermined Intent","75 to 79","Tennessee","White","--","205,655","--"
-"Undetermined Intent","75 to 79","Tennessee","Black","--","22,850","--"
-"Undetermined Intent","75 to 79","Texas","White","--","335,643","--"
-"Undetermined Intent","75 to 79","Texas","Black","--","46,951","--"
-"Undetermined Intent","75 to 79","Utah","White","--","72,064","--"
-"Undetermined Intent","75 to 79","Utah","Black","--","332","--"
-"Undetermined Intent","75 to 79","Vermont","White","--","25,762","--"
-"Undetermined Intent","75 to 79","Vermont","Black","--","89","--"
-"Undetermined Intent","75 to 79","Virginia","White","--","222,159","--"
-"Undetermined Intent","75 to 79","Virginia","Black","--","40,596","--"
-"Undetermined Intent","75 to 79","Washington","White","--","219,080","--"
-"Undetermined Intent","75 to 79","Washington","Black","--","4,896","--"
-"Undetermined Intent","75 to 79","West Virginia","White","--","68,388","--"
-"Undetermined Intent","75 to 79","West Virginia","Black","--","1,577","--"
-"Undetermined Intent","75 to 79","Wisconsin","White","--","188,469","--"
-"Undetermined Intent","75 to 79","Wisconsin","Black","--","5,510","--"
-"Undetermined Intent","75 to 79","Wyoming","White","--","18,609","--"
-"Undetermined Intent","75 to 79","Wyoming","Black","--","95","--"
-"Undetermined Intent","80 to 84","Alabama","White","--","85,099","--"
-"Undetermined Intent","80 to 84","Alabama","Black","--","17,802","--"
-"Undetermined Intent","80 to 84","Alaska","White","--","7,019","--"
-"Undetermined Intent","80 to 84","Alaska","Black","--","176","--"
-"Undetermined Intent","80 to 84","Arizona","White","--","158,667","--"
-"Undetermined Intent","80 to 84","Arizona","Black","--","3,669","--"
-"Undetermined Intent","80 to 84","Arkansas","White","--","57,541","--"
-"Undetermined Intent","80 to 84","Arkansas","Black","--","5,272","--"
-"Undetermined Intent","80 to 84","California","White","--","359,993","--"
-"Undetermined Intent","80 to 84","California","Black","--","25,929","--"
-"Undetermined Intent","80 to 84","Colorado","White","--","89,427","--"
-"Undetermined Intent","80 to 84","Colorado","Black","--","2,622","--"
-"Undetermined Intent","80 to 84","Connecticut","White","--","68,600","--"
-"Undetermined Intent","80 to 84","Connecticut","Black","--","5,640","--"
-"Undetermined Intent","80 to 84","Delaware","White","--","19,206","--"
-"Undetermined Intent","80 to 84","Delaware","Black","--","3,404","--"
-"Undetermined Intent","80 to 84","District of Columbia","White","--","4,280","--"
-"Undetermined Intent","80 to 84","District of Columbia","Black","--","5,495","--"
-"Undetermined Intent","80 to 84","Florida","White","--","372,261","--"
-"Undetermined Intent","80 to 84","Florida","Black","--","36,632","--"
-"Undetermined Intent","80 to 84","Georgia","White","--","134,303","--"
-"Undetermined Intent","80 to 84","Georgia","Black","--","38,946","--"
-"Undetermined Intent","80 to 84","Hawaii","White","--","8,776","--"
-"Undetermined Intent","80 to 84","Hawaii","Black","--","207","--"
-"Undetermined Intent","80 to 84","Idaho","White","--","35,459","--"
-"Undetermined Intent","80 to 84","Idaho","Black","--","85","--"
-"Undetermined Intent","80 to 84","Illinois","White","--","205,771","--"
-"Undetermined Intent","80 to 84","Illinois","Black","--","28,734","--"
-"Undetermined Intent","80 to 84","Indiana","White","--","120,668","--"
-"Undetermined Intent","80 to 84","Indiana","Black","--","7,550","--"
-"Undetermined Intent","80 to 84","Iowa","White","--","66,497","--"
-"Undetermined Intent","80 to 84","Iowa","Black","--","727","--"
-"Undetermined Intent","80 to 84","Kansas","White","--","52,796","--"
-"Undetermined Intent","80 to 84","Kansas","Black","--","2,021","--"
-"Undetermined Intent","80 to 84","Kentucky","White","--","82,958","--"
-"Undetermined Intent","80 to 84","Kentucky","Black","--","4,458","--"
-"Undetermined Intent","80 to 84","Louisiana","White","--","65,100","--"
-"Undetermined Intent","80 to 84","Louisiana","Black","--","19,051","--"
-"Undetermined Intent","80 to 84","Maine","White","--","33,810","--"
-"Undetermined Intent","80 to 84","Maine","Black","--","136","--"
-"Undetermined Intent","80 to 84","Maryland","White","--","82,123","--"
-"Undetermined Intent","80 to 84","Maryland","Black","--","28,623","--"
-"Undetermined Intent","80 to 84","Massachusetts","White","--","127,688","--"
-"Undetermined Intent","80 to 84","Massachusetts","Black","--","7,135","--"
-"Undetermined Intent","80 to 84","Michigan","White","--","184,824","--"
-"Undetermined Intent","80 to 84","Michigan","Black","--","19,200","--"
-"Undetermined Intent","80 to 84","Minnesota","White","--","107,521","--"
-"Undetermined Intent","80 to 84","Minnesota","Black","--","2,379","--"
-"Undetermined Intent","80 to 84","Mississippi","White","--","43,433","--"
-"Undetermined Intent","80 to 84","Mississippi","Black","--","13,394","--"
-"Undetermined Intent","80 to 84","Missouri","White","--","116,562","--"
-"Undetermined Intent","80 to 84","Missouri","Black","--","9,215","--"
-"Undetermined Intent","80 to 84","Montana","White","--","23,393","--"
-"Undetermined Intent","80 to 84","Montana","Black","--","66","--"
-"Undetermined Intent","80 to 84","Nebraska","White","--","35,755","--"
-"Undetermined Intent","80 to 84","Nebraska","Black","--","924","--"
-"Undetermined Intent","80 to 84","Nevada","White","--","48,775","--"
-"Undetermined Intent","80 to 84","Nevada","Black","--","3,944","--"
-"Undetermined Intent","80 to 84","New Hampshire","White","--","29,025","--"
-"Undetermined Intent","80 to 84","New Hampshire","Black","--","152","--"
-"Undetermined Intent","80 to 84","New Jersey","White","--","151,821","--"
-"Undetermined Intent","80 to 84","New Jersey","Black","--","20,261","--"
-"Undetermined Intent","80 to 84","New Mexico","White","--","41,309","--"
-"Undetermined Intent","80 to 84","New Mexico","Black","--","666","--"
-"Undetermined Intent","80 to 84","New York","White","--","324,013","--"
-"Undetermined Intent","80 to 84","New York","Black","--","59,265","--"
-"Undetermined Intent","80 to 84","North Carolina","White","--","170,139","--"
-"Undetermined Intent","80 to 84","North Carolina","Black","--","31,514","--"
-"Undetermined Intent","80 to 84","North Dakota","White","--","13,974","--"
-"Undetermined Intent","80 to 84","North Dakota","Black","--","38","--"
-"Undetermined Intent","80 to 84","Ohio","White","--","220,378","--"
-"Undetermined Intent","80 to 84","Ohio","Black","--","21,095","--"
-"Undetermined Intent","80 to 84","Oklahoma","White","--","66,458","--"
-"Undetermined Intent","80 to 84","Oklahoma","Black","--","3,373","--"
-"Undetermined Intent","80 to 84","Oregon","White","--","83,913","--"
-"Undetermined Intent","80 to 84","Oregon","Black","--","886","--"
-"Undetermined Intent","80 to 84","Pennsylvania","White","--","267,033","--"
-"Undetermined Intent","80 to 84","Pennsylvania","Black","--","20,181","--"
-"Undetermined Intent","80 to 84","Rhode Island","White","--","21,479","--"
-"Undetermined Intent","80 to 84","Rhode Island","Black","--","961","--"
-"Undetermined Intent","80 to 84","South Carolina","White","--","89,359","--"
-"Undetermined Intent","80 to 84","South Carolina","Black","--","19,823","--"
-"Undetermined Intent","80 to 84","South Dakota","White","--","16,008","--"
-"Undetermined Intent","80 to 84","South Dakota","Black","--","46","--"
-"Undetermined Intent","80 to 84","Tennessee","White","--","121,913","--"
-"Undetermined Intent","80 to 84","Tennessee","Black","--","13,112","--"
-"Undetermined Intent","80 to 84","Texas","White","--","195,442","--"
-"Undetermined Intent","80 to 84","Texas","Black","--","25,778","--"
-"Undetermined Intent","80 to 84","Utah","White","--","43,033","--"
-"Undetermined Intent","80 to 84","Utah","Black","--","244","--"
-"Undetermined Intent","80 to 84","Vermont","White","--","14,773","--"
-"Undetermined Intent","80 to 84","Vermont","Black","--","42","--"
-"Undetermined Intent","80 to 84","Virginia","White","--","132,958","--"
-"Undetermined Intent","80 to 84","Virginia","Black","--","24,572","--"
-"Undetermined Intent","80 to 84","Washington","White","--","124,773","--"
-"Undetermined Intent","80 to 84","Washington","Black","--","2,729","--"
-"Undetermined Intent","80 to 84","West Virginia","White","--","41,184","--"
-"Undetermined Intent","80 to 84","West Virginia","Black","--","860","--"
-"Undetermined Intent","80 to 84","Wisconsin","White","--","116,662","--"
-"Undetermined Intent","80 to 84","Wisconsin","Black","--","3,319","--"
-"Undetermined Intent","80 to 84","Wyoming","White","--","10,891","--"
-"Undetermined Intent","80 to 84","Wyoming","Black","--","49","--"
-"Undetermined Intent","85+","Alabama","White","--","74,889","--"
-"Undetermined Intent","85+","Alabama","Black","--","16,119","--"
-"Undetermined Intent","85+","Alaska","White","--","5,494","--"
-"Undetermined Intent","85+","Alaska","Black","--","172","--"
-"Undetermined Intent","85+","Arizona","White","--","138,656","--"
-"Undetermined Intent","85+","Arizona","Black","--","3,153","--"
-"Undetermined Intent","85+","Arkansas","White","--","51,588","--"
-"Undetermined Intent","85+","Arkansas","Black","--","4,957","--"
-"Undetermined Intent","85+","California","White","--","375,374","--"
-"Undetermined Intent","85+","California","Black","--","25,723","--"
-"Undetermined Intent","85+","Colorado","White","--","83,500","--"
-"Undetermined Intent","85+","Colorado","Black","--","2,256","--"
-"Undetermined Intent","85+","Connecticut","White","--","73,251","--"
-"Undetermined Intent","85+","Connecticut","Black","--","4,771","--"
-"Undetermined Intent","85+","Delaware","White","--","16,632","--"
-"Undetermined Intent","85+","Delaware","Black","--","2,681","--"
-"Undetermined Intent","85+","District of Columbia","White","--","4,491","--"
-"Undetermined Intent","85+","District of Columbia","Black","--","6,152","--"
-"Undetermined Intent","85+","Florida","White","--","381,603","--"
-"Undetermined Intent","85+","Florida","Black","--","32,353","--"
-"Undetermined Intent","85+","Georgia","White","--","116,451","--"
-"Undetermined Intent","85+","Georgia","Black","--","31,876","--"
-"Undetermined Intent","85+","Hawaii","White","--","8,280","--"
-"Undetermined Intent","85+","Hawaii","Black","--","204","--"
-"Undetermined Intent","85+","Idaho","White","--","30,197","--"
-"Undetermined Intent","85+","Idaho","Black","--","71","--"
-"Undetermined Intent","85+","Illinois","White","--","215,666","--"
-"Undetermined Intent","85+","Illinois","Black","--","27,388","--"
-"Undetermined Intent","85+","Indiana","White","--","117,409","--"
-"Undetermined Intent","85+","Indiana","Black","--","6,727","--"
-"Undetermined Intent","85+","Iowa","White","--","74,664","--"
-"Undetermined Intent","85+","Iowa","Black","--","627","--"
-"Undetermined Intent","85+","Kansas","White","--","57,732","--"
-"Undetermined Intent","85+","Kansas","Black","--","1,872","--"
-"Undetermined Intent","85+","Kentucky","White","--","72,950","--"
-"Undetermined Intent","85+","Kentucky","Black","--","4,037","--"
-"Undetermined Intent","85+","Louisiana","White","--","59,282","--"
-"Undetermined Intent","85+","Louisiana","Black","--","16,910","--"
-"Undetermined Intent","85+","Maine","White","--","32,771","--"
-"Undetermined Intent","85+","Maine","Black","--","163","--"
-"Undetermined Intent","85+","Maryland","White","--","86,120","--"
-"Undetermined Intent","85+","Maryland","Black","--","25,536","--"
-"Undetermined Intent","85+","Massachusetts","White","--","136,401","--"
-"Undetermined Intent","85+","Massachusetts","Black","--","6,846","--"
-"Undetermined Intent","85+","Michigan","White","--","174,193","--"
-"Undetermined Intent","85+","Michigan","Black","--","18,886","--"
-"Undetermined Intent","85+","Minnesota","White","--","116,597","--"
-"Undetermined Intent","85+","Minnesota","Black","--","1,982","--"
-"Undetermined Intent","85+","Mississippi","White","--","38,975","--"
-"Undetermined Intent","85+","Mississippi","Black","--","11,845","--"
-"Undetermined Intent","85+","Missouri","White","--","115,067","--"
-"Undetermined Intent","85+","Missouri","Black","--","8,621","--"
-"Undetermined Intent","85+","Montana","White","--","21,673","--"
-"Undetermined Intent","85+","Montana","Black","--","35","--"
-"Undetermined Intent","85+","Nebraska","White","--","39,212","--"
-"Undetermined Intent","85+","Nebraska","Black","--","747","--"
-"Undetermined Intent","85+","Nevada","White","--","37,663","--"
-"Undetermined Intent","85+","Nevada","Black","--","2,916","--"
-"Undetermined Intent","85+","New Hampshire","White","--","29,437","--"
-"Undetermined Intent","85+","New Hampshire","Black","--","126","--"
-"Undetermined Intent","85+","New Jersey","White","--","163,370","--"
-"Undetermined Intent","85+","New Jersey","Black","--","18,968","--"
-"Undetermined Intent","85+","New Mexico","White","--","36,506","--"
-"Undetermined Intent","85+","New Mexico","Black","--","567","--"
-"Undetermined Intent","85+","New York","White","--","357,100","--"
-"Undetermined Intent","85+","New York","Black","--","58,879","--"
-"Undetermined Intent","85+","North Carolina","White","--","153,825","--"
-"Undetermined Intent","85+","North Carolina","Black","--","27,478","--"
-"Undetermined Intent","85+","North Dakota","White","--","17,891","--"
-"Undetermined Intent","85+","North Dakota","Black","--","35","--"
-"Undetermined Intent","85+","Ohio","White","--","214,237","--"
-"Undetermined Intent","85+","Ohio","Black","--","21,021","--"
-"Undetermined Intent","85+","Oklahoma","White","--","62,111","--"
-"Undetermined Intent","85+","Oklahoma","Black","--","2,781","--"
-"Undetermined Intent","85+","Oregon","White","--","77,219","--"
-"Undetermined Intent","85+","Oregon","Black","--","755","--"
-"Undetermined Intent","85+","Pennsylvania","White","--","283,200","--"
-"Undetermined Intent","85+","Pennsylvania","Black","--","19,606","--"
-"Undetermined Intent","85+","Rhode Island","White","--","24,191","--"
-"Undetermined Intent","85+","Rhode Island","Black","--","1,124","--"
-"Undetermined Intent","85+","South Carolina","White","--","74,055","--"
-"Undetermined Intent","85+","South Carolina","Black","--","16,459","--"
-"Undetermined Intent","85+","South Dakota","White","--","19,141","--"
-"Undetermined Intent","85+","South Dakota","Black","--","36","--"
-"Undetermined Intent","85+","Tennessee","White","--","104,678","--"
-"Undetermined Intent","85+","Tennessee","Black","--","11,564","--"
-"Undetermined Intent","85+","Texas","White","--","180,669","--"
-"Undetermined Intent","85+","Texas","Black","--","21,581","--"
-"Undetermined Intent","85+","Utah","White","--","37,176","--"
-"Undetermined Intent","85+","Utah","Black","--","180","--"
-"Undetermined Intent","85+","Vermont","White","--","14,067","--"
-"Undetermined Intent","85+","Vermont","Black","--","60","--"
-"Undetermined Intent","85+","Virginia","White","--","124,985","--"
-"Undetermined Intent","85+","Virginia","Black","--","21,837","--"
-"Undetermined Intent","85+","Washington","White","--","118,907","--"
-"Undetermined Intent","85+","Washington","Black","--","2,387","--"
-"Undetermined Intent","85+","West Virginia","White","--","37,099","--"
-"Undetermined Intent","85+","West Virginia","Black","--","789","--"
-"Undetermined Intent","85+","Wisconsin","White","--","117,313","--"
-"Undetermined Intent","85+","Wisconsin","Black","--","2,800","--"
-"Undetermined Intent","85+","Wyoming","White","--","10,036","--"
-"Undetermined Intent","85+","Wyoming","Black","--","59","--"
-"Undetermined Intent","Unknown","Alabama","White","-","-","-"
-"Undetermined Intent","Unknown","Alabama","Black","-","-","-"
-"Undetermined Intent","Unknown","Alaska","White","-","-","-"
-"Undetermined Intent","Unknown","Alaska","Black","-","-","-"
-"Undetermined Intent","Unknown","Arizona","White","-","-","-"
-"Undetermined Intent","Unknown","Arizona","Black","-","-","-"
-"Undetermined Intent","Unknown","Arkansas","White","-","-","-"
-"Undetermined Intent","Unknown","Arkansas","Black","-","-","-"
-"Undetermined Intent","Unknown","California","White","-","-","-"
-"Undetermined Intent","Unknown","California","Black","-","-","-"
-"Undetermined Intent","Unknown","Colorado","White","-","-","-"
-"Undetermined Intent","Unknown","Colorado","Black","-","-","-"
-"Undetermined Intent","Unknown","Connecticut","White","-","-","-"
-"Undetermined Intent","Unknown","Connecticut","Black","-","-","-"
-"Undetermined Intent","Unknown","Delaware","White","-","-","-"
-"Undetermined Intent","Unknown","Delaware","Black","-","-","-"
-"Undetermined Intent","Unknown","District of Columbia","White","-","-","-"
-"Undetermined Intent","Unknown","District of Columbia","Black","-","-","-"
-"Undetermined Intent","Unknown","Florida","White","-","-","-"
-"Undetermined Intent","Unknown","Florida","Black","-","-","-"
-"Undetermined Intent","Unknown","Georgia","White","-","-","-"
-"Undetermined Intent","Unknown","Georgia","Black","-","-","-"
-"Undetermined Intent","Unknown","Hawaii","White","-","-","-"
-"Undetermined Intent","Unknown","Hawaii","Black","-","-","-"
-"Undetermined Intent","Unknown","Idaho","White","-","-","-"
-"Undetermined Intent","Unknown","Idaho","Black","-","-","-"
-"Undetermined Intent","Unknown","Illinois","White","-","-","-"
-"Undetermined Intent","Unknown","Illinois","Black","-","-","-"
-"Undetermined Intent","Unknown","Indiana","White","-","-","-"
-"Undetermined Intent","Unknown","Indiana","Black","-","-","-"
-"Undetermined Intent","Unknown","Iowa","White","-","-","-"
-"Undetermined Intent","Unknown","Iowa","Black","-","-","-"
-"Undetermined Intent","Unknown","Kansas","White","-","-","-"
-"Undetermined Intent","Unknown","Kansas","Black","-","-","-"
-"Undetermined Intent","Unknown","Kentucky","White","-","-","-"
-"Undetermined Intent","Unknown","Kentucky","Black","-","-","-"
-"Undetermined Intent","Unknown","Louisiana","White","-","-","-"
-"Undetermined Intent","Unknown","Louisiana","Black","-","-","-"
-"Undetermined Intent","Unknown","Maine","White","-","-","-"
-"Undetermined Intent","Unknown","Maine","Black","-","-","-"
-"Undetermined Intent","Unknown","Maryland","White","-","-","-"
-"Undetermined Intent","Unknown","Maryland","Black","-","-","-"
-"Undetermined Intent","Unknown","Massachusetts","White","-","-","-"
-"Undetermined Intent","Unknown","Massachusetts","Black","-","-","-"
-"Undetermined Intent","Unknown","Michigan","White","-","-","-"
-"Undetermined Intent","Unknown","Michigan","Black","-","-","-"
-"Undetermined Intent","Unknown","Minnesota","White","-","-","-"
-"Undetermined Intent","Unknown","Minnesota","Black","-","-","-"
-"Undetermined Intent","Unknown","Mississippi","White","-","-","-"
-"Undetermined Intent","Unknown","Mississippi","Black","-","-","-"
-"Undetermined Intent","Unknown","Missouri","White","-","-","-"
-"Undetermined Intent","Unknown","Missouri","Black","-","-","-"
-"Undetermined Intent","Unknown","Montana","White","-","-","-"
-"Undetermined Intent","Unknown","Montana","Black","-","-","-"
-"Undetermined Intent","Unknown","Nebraska","White","-","-","-"
-"Undetermined Intent","Unknown","Nebraska","Black","-","-","-"
-"Undetermined Intent","Unknown","Nevada","White","-","-","-"
-"Undetermined Intent","Unknown","Nevada","Black","-","-","-"
-"Undetermined Intent","Unknown","New Hampshire","White","-","-","-"
-"Undetermined Intent","Unknown","New Hampshire","Black","-","-","-"
-"Undetermined Intent","Unknown","New Jersey","White","-","-","-"
-"Undetermined Intent","Unknown","New Jersey","Black","-","-","-"
-"Undetermined Intent","Unknown","New Mexico","White","-","-","-"
-"Undetermined Intent","Unknown","New Mexico","Black","-","-","-"
-"Undetermined Intent","Unknown","New York","White","-","-","-"
-"Undetermined Intent","Unknown","New York","Black","-","-","-"
-"Undetermined Intent","Unknown","North Carolina","White","-","-","-"
-"Undetermined Intent","Unknown","North Carolina","Black","-","-","-"
-"Undetermined Intent","Unknown","North Dakota","White","-","-","-"
-"Undetermined Intent","Unknown","North Dakota","Black","-","-","-"
-"Undetermined Intent","Unknown","Ohio","White","-","-","-"
-"Undetermined Intent","Unknown","Ohio","Black","-","-","-"
-"Undetermined Intent","Unknown","Oklahoma","White","-","-","-"
-"Undetermined Intent","Unknown","Oklahoma","Black","-","-","-"
-"Undetermined Intent","Unknown","Oregon","White","-","-","-"
-"Undetermined Intent","Unknown","Oregon","Black","-","-","-"
-"Undetermined Intent","Unknown","Pennsylvania","White","-","-","-"
-"Undetermined Intent","Unknown","Pennsylvania","Black","-","-","-"
-"Undetermined Intent","Unknown","Rhode Island","White","-","-","-"
-"Undetermined Intent","Unknown","Rhode Island","Black","-","-","-"
-"Undetermined Intent","Unknown","South Carolina","White","-","-","-"
-"Undetermined Intent","Unknown","South Carolina","Black","-","-","-"
-"Undetermined Intent","Unknown","South Dakota","White","-","-","-"
-"Undetermined Intent","Unknown","South Dakota","Black","-","-","-"
-"Undetermined Intent","Unknown","Tennessee","White","-","-","-"
-"Undetermined Intent","Unknown","Tennessee","Black","-","-","-"
-"Undetermined Intent","Unknown","Texas","White","-","-","-"
-"Undetermined Intent","Unknown","Texas","Black","-","-","-"
-"Undetermined Intent","Unknown","Utah","White","-","-","-"
-"Undetermined Intent","Unknown","Utah","Black","-","-","-"
-"Undetermined Intent","Unknown","Vermont","White","-","-","-"
-"Undetermined Intent","Unknown","Vermont","Black","-","-","-"
-"Undetermined Intent","Unknown","Virginia","White","-","-","-"
-"Undetermined Intent","Unknown","Virginia","Black","-","-","-"
-"Undetermined Intent","Unknown","Washington","White","--","-","--"
-"Undetermined Intent","Unknown","Washington","Black","-","-","-"
-"Undetermined Intent","Unknown","West Virginia","White","-","-","-"
-"Undetermined Intent","Unknown","West Virginia","Black","-","-","-"
-"Undetermined Intent","Unknown","Wisconsin","White","-","-","-"
-"Undetermined Intent","Unknown","Wisconsin","Black","-","-","-"
-"Undetermined Intent","Unknown","Wyoming","White","-","-","-"
-"Undetermined Intent","Unknown","Wyoming","Black","-","-","-"
-"Legal Intervention","0 to 4","Alabama","White","--","180,341","--"
-"Legal Intervention","0 to 4","Alabama","Black","--","89,099","--"
-"Legal Intervention","0 to 4","Alaska","White","--","23,352","--"
-"Legal Intervention","0 to 4","Alaska","Black","--","1,810","--"
-"Legal Intervention","0 to 4","Arizona","White","--","296,789","--"
-"Legal Intervention","0 to 4","Arizona","Black","--","27,145","--"
-"Legal Intervention","0 to 4","Arkansas","White","--","127,187","--"
-"Legal Intervention","0 to 4","Arkansas","Black","--","35,259","--"
-"Legal Intervention","0 to 4","California","White","--","918,284","--"
-"Legal Intervention","0 to 4","California","Black","--","84,896","--"
-"Legal Intervention","0 to 4","Colorado","White","--","241,393","--"
-"Legal Intervention","0 to 4","Colorado","Black","--","20,295","--"
-"Legal Intervention","0 to 4","Connecticut","White","--","124,676","--"
-"Legal Intervention","0 to 4","Connecticut","Black","--","30,095","--"
-"Legal Intervention","0 to 4","Delaware","White","--","30,969","--"
-"Legal Intervention","0 to 4","Delaware","Black","--","15,323","--"
-"Legal Intervention","0 to 4","District of Columbia","White","--","15,627","--"
-"Legal Intervention","0 to 4","District of Columbia","Black","--","18,658","--"
-"Legal Intervention","0 to 4","Florida","White","--","533,690","--"
-"Legal Intervention","0 to 4","Florida","Black","--","178,163","--"
-"Legal Intervention","0 to 4","Georgia","White","--","335,064","--"
-"Legal Intervention","0 to 4","Georgia","Black","--","227,140","--"
-"Legal Intervention","0 to 4","Hawaii","White","--","15,012","--"
-"Legal Intervention","0 to 4","Hawaii","Black","--","1,896","--"
-"Legal Intervention","0 to 4","Idaho","White","--","100,323","--"
-"Legal Intervention","0 to 4","Idaho","Black","--","1,752","--"
-"Legal Intervention","0 to 4","Illinois","White","--","481,889","--"
-"Legal Intervention","0 to 4","Illinois","Black","--","116,710","--"
-"Legal Intervention","0 to 4","Indiana","White","--","313,669","--"
-"Legal Intervention","0 to 4","Indiana","Black","--","53,660","--"
-"Legal Intervention","0 to 4","Iowa","White","--","154,058","--"
-"Legal Intervention","0 to 4","Iowa","Black","--","13,703","--"
-"Legal Intervention","0 to 4","Kansas","White","--","141,473","--"
-"Legal Intervention","0 to 4","Kansas","Black","--","13,238","--"
-"Legal Intervention","0 to 4","Kentucky","White","--","213,657","--"
-"Legal Intervention","0 to 4","Kentucky","Black","--","27,248","--"
-"Legal Intervention","0 to 4","Louisiana","White","--","153,492","--"
-"Legal Intervention","0 to 4","Louisiana","Black","--","106,289","--"
-"Legal Intervention","0 to 4","Maine","White","--","54,442","--"
-"Legal Intervention","0 to 4","Maine","Black","--","2,822","--"
-"Legal Intervention","0 to 4","Maryland","White","--","181,975","--"
-"Legal Intervention","0 to 4","Maryland","Black","--","113,480","--"
-"Legal Intervention","0 to 4","Massachusetts","White","--","236,165","--"
-"Legal Intervention","0 to 4","Massachusetts","Black","--","52,496","--"
-"Legal Intervention","0 to 4","Michigan","White","--","380,098","--"
-"Legal Intervention","0 to 4","Michigan","Black","--","98,116","--"
-"Legal Intervention","0 to 4","Minnesota","White","--","237,344","--"
-"Legal Intervention","0 to 4","Minnesota","Black","--","40,249","--"
-"Legal Intervention","0 to 4","Mississippi","White","--","89,424","--"
-"Legal Intervention","0 to 4","Mississippi","Black","--","75,092","--"
-"Legal Intervention","0 to 4","Missouri","White","--","266,780","--"
-"Legal Intervention","0 to 4","Missouri","Black","--","52,085","--"
-"Legal Intervention","0 to 4","Montana","White","--","47,093","--"
-"Legal Intervention","0 to 4","Montana","Black","--","490","--"
-"Legal Intervention","0 to 4","Nebraska","White","--","99,031","--"
-"Legal Intervention","0 to 4","Nebraska","Black","--","9,179","--"
-"Legal Intervention","0 to 4","Nevada","White","--","109,375","--"
-"Legal Intervention","0 to 4","Nevada","Black","--","25,766","--"
-"Legal Intervention","0 to 4","New Hampshire","White","--","55,451","--"
-"Legal Intervention","0 to 4","New Hampshire","Black","--","2,002","--"
-"Legal Intervention","0 to 4","New Jersey","White","--","332,263","--"
-"Legal Intervention","0 to 4","New Jersey","Black","--","94,492","--"
-"Legal Intervention","0 to 4","New Mexico","White","--","81,687","--"
-"Legal Intervention","0 to 4","New Mexico","Black","--","3,549","--"
-"Legal Intervention","0 to 4","New York","White","--","657,477","--"
-"Legal Intervention","0 to 4","New York","Black","--","219,142","--"
-"Legal Intervention","0 to 4","North Carolina","White","--","365,980","--"
-"Legal Intervention","0 to 4","North Carolina","Black","--","151,185","--"
-"Legal Intervention","0 to 4","North Dakota","White","--","37,635","--"
-"Legal Intervention","0 to 4","North Dakota","Black","--","3,388","--"
-"Legal Intervention","0 to 4","Ohio","White","--","482,242","--"
-"Legal Intervention","0 to 4","Ohio","Black","--","112,281","--"
-"Legal Intervention","0 to 4","Oklahoma","White","--","149,184","--"
-"Legal Intervention","0 to 4","Oklahoma","Black","--","23,449","--"
-"Legal Intervention","0 to 4","Oregon","White","--","161,587","--"
-"Legal Intervention","0 to 4","Oregon","Black","--","6,167","--"
-"Legal Intervention","0 to 4","Pennsylvania","White","--","482,785","--"
-"Legal Intervention","0 to 4","Pennsylvania","Black","--","108,552","--"
-"Legal Intervention","0 to 4","Rhode Island","White","--","37,347","--"
-"Legal Intervention","0 to 4","Rhode Island","Black","--","7,223","--"
-"Legal Intervention","0 to 4","South Carolina","White","--","174,248","--"
-"Legal Intervention","0 to 4","South Carolina","Black","--","86,126","--"
-"Legal Intervention","0 to 4","South Dakota","White","--","42,132","--"
-"Legal Intervention","0 to 4","South Dakota","Black","--","2,414","--"
-"Legal Intervention","0 to 4","Tennessee","White","--","288,863","--"
-"Legal Intervention","0 to 4","Tennessee","Black","--","81,357","--"
-"Legal Intervention","0 to 4","Texas","White","--","822,522","--"
-"Legal Intervention","0 to 4","Texas","Black","--","215,347","--"
-"Legal Intervention","0 to 4","Utah","White","--","199,577","--"
-"Legal Intervention","0 to 4","Utah","Black","--","4,364","--"
-"Legal Intervention","0 to 4","Vermont","White","--","24,870","--"
-"Legal Intervention","0 to 4","Vermont","Black","--","651","--"
-"Legal Intervention","0 to 4","Virginia","White","--","303,460","--"
-"Legal Intervention","0 to 4","Virginia","Black","--","108,228","--"
-"Legal Intervention","0 to 4","Washington","White","--","287,699","--"
-"Legal Intervention","0 to 4","Washington","Black","--","24,308","--"
-"Legal Intervention","0 to 4","West Virginia","White","--","78,223","--"
-"Legal Intervention","0 to 4","West Virginia","Black","--","3,606","--"
-"Legal Intervention","0 to 4","Wisconsin","White","--","242,169","--"
-"Legal Intervention","0 to 4","Wisconsin","Black","--","32,763","--"
-"Legal Intervention","0 to 4","Wyoming","White","--","27,196","--"
-"Legal Intervention","0 to 4","Wyoming","Black","--","489","--"
-"Legal Intervention","5 to 9","Alabama","White","--","195,845","--"
-"Legal Intervention","5 to 9","Alabama","Black","--","88,383","--"
-"Legal Intervention","5 to 9","Alaska","White","--","26,339","--"
-"Legal Intervention","5 to 9","Alaska","Black","--","1,903","--"
-"Legal Intervention","5 to 9","Arizona","White","--","329,307","--"
-"Legal Intervention","5 to 9","Arizona","Black","--","30,234","--"
-"Legal Intervention","5 to 9","Arkansas","White","--","139,243","--"
-"Legal Intervention","5 to 9","Arkansas","Black","--","34,774","--"
-"Legal Intervention","5 to 9","California","White","--","1,021,998","--"
-"Legal Intervention","5 to 9","California","Black","--","85,783","--"
-"Legal Intervention","5 to 9","Colorado","White","--","268,503","--"
-"Legal Intervention","5 to 9","Colorado","Black","--","18,706","--"
-"Legal Intervention","5 to 9","Connecticut","White","--","140,462","--"
-"Legal Intervention","5 to 9","Connecticut","Black","--","29,507","--"
-"Legal Intervention","5 to 9","Delaware","White","--","33,312","--"
-"Legal Intervention","5 to 9","Delaware","Black","--","16,117","--"
-"Legal Intervention","5 to 9","District of Columbia","White","--","12,913","--"
-"Legal Intervention","5 to 9","District of Columbia","Black","--","20,234","--"
-"Legal Intervention","5 to 9","Florida","White","--","568,242","--"
-"Legal Intervention","5 to 9","Florida","Black","--","194,715","--"
-"Legal Intervention","5 to 9","Georgia","White","--","366,117","--"
-"Legal Intervention","5 to 9","Georgia","Black","--","241,878","--"
-"Legal Intervention","5 to 9","Hawaii","White","--","16,226","--"
-"Legal Intervention","5 to 9","Hawaii","Black","--","1,849","--"
-"Legal Intervention","5 to 9","Idaho","White","--","114,789","--"
-"Legal Intervention","5 to 9","Idaho","Black","--","1,484","--"
-"Legal Intervention","5 to 9","Illinois","White","--","536,488","--"
-"Legal Intervention","5 to 9","Illinois","Black","--","124,564","--"
-"Legal Intervention","5 to 9","Indiana","White","--","339,678","--"
-"Legal Intervention","5 to 9","Indiana","Black","--","54,854","--"
-"Legal Intervention","5 to 9","Iowa","White","--","168,273","--"
-"Legal Intervention","5 to 9","Iowa","Black","--","12,952","--"
-"Legal Intervention","5 to 9","Kansas","White","--","156,022","--"
-"Legal Intervention","5 to 9","Kansas","Black","--","13,212","--"
-"Legal Intervention","5 to 9","Kentucky","White","--","228,872","--"
-"Legal Intervention","5 to 9","Kentucky","Black","--","26,767","--"
-"Legal Intervention","5 to 9","Louisiana","White","--","166,006","--"
-"Legal Intervention","5 to 9","Louisiana","Black","--","108,466","--"
-"Legal Intervention","5 to 9","Maine","White","--","60,618","--"
-"Legal Intervention","5 to 9","Maine","Black","--","2,375","--"
-"Legal Intervention","5 to 9","Maryland","White","--","194,022","--"
-"Legal Intervention","5 to 9","Maryland","Black","--","121,062","--"
-"Legal Intervention","5 to 9","Massachusetts","White","--","260,644","--"
-"Legal Intervention","5 to 9","Massachusetts","Black","--","46,792","--"
-"Legal Intervention","5 to 9","Michigan","White","--","420,464","--"
-"Legal Intervention","5 to 9","Michigan","Black","--","100,527","--"
-"Legal Intervention","5 to 9","Minnesota","White","--","260,924","--"
-"Legal Intervention","5 to 9","Minnesota","Black","--","43,820","--"
-"Legal Intervention","5 to 9","Mississippi","White","--","97,202","--"
-"Legal Intervention","5 to 9","Mississippi","Black","--","74,257","--"
-"Legal Intervention","5 to 9","Missouri","White","--","288,933","--"
-"Legal Intervention","5 to 9","Missouri","Black","--","52,583","--"
-"Legal Intervention","5 to 9","Montana","White","--","53,642","--"
-"Legal Intervention","5 to 9","Montana","Black","--","506","--"
-"Legal Intervention","5 to 9","Nebraska","White","--","107,959","--"
-"Legal Intervention","5 to 9","Nebraska","Black","--","9,337","--"
-"Legal Intervention","5 to 9","Nevada","White","--","125,774","--"
-"Legal Intervention","5 to 9","Nevada","Black","--","25,726","--"
-"Legal Intervention","5 to 9","New Hampshire","White","--","60,463","--"
-"Legal Intervention","5 to 9","New Hampshire","Black","--","1,950","--"
-"Legal Intervention","5 to 9","New Jersey","White","--","355,366","--"
-"Legal Intervention","5 to 9","New Jersey","Black","--","94,868","--"
-"Legal Intervention","5 to 9","New Mexico","White","--","92,171","--"
-"Legal Intervention","5 to 9","New Mexico","Black","--","3,999","--"
-"Legal Intervention","5 to 9","New York","White","--","706,845","--"
-"Legal Intervention","5 to 9","New York","Black","--","207,675","--"
-"Legal Intervention","5 to 9","North Carolina","White","--","389,028","--"
-"Legal Intervention","5 to 9","North Carolina","Black","--","152,837","--"
-"Legal Intervention","5 to 9","North Dakota","White","--","41,662","--"
-"Legal Intervention","5 to 9","North Dakota","Black","--","2,647","--"
-"Legal Intervention","5 to 9","Ohio","White","--","522,622","--"
-"Legal Intervention","5 to 9","Ohio","Black","--","118,216","--"
-"Legal Intervention","5 to 9","Oklahoma","White","--","170,292","--"
-"Legal Intervention","5 to 9","Oklahoma","Black","--","22,416","--"
-"Legal Intervention","5 to 9","Oregon","White","--","186,810","--"
-"Legal Intervention","5 to 9","Oregon","Black","--","6,815","--"
-"Legal Intervention","5 to 9","Pennsylvania","White","--","524,297","--"
-"Legal Intervention","5 to 9","Pennsylvania","Black","--","115,368","--"
-"Legal Intervention","5 to 9","Rhode Island","White","--","40,792","--"
-"Legal Intervention","5 to 9","Rhode Island","Black","--","7,127","--"
-"Legal Intervention","5 to 9","South Carolina","White","--","191,092","--"
-"Legal Intervention","5 to 9","South Carolina","Black","--","88,438","--"
-"Legal Intervention","5 to 9","South Dakota","White","--","45,215","--"
-"Legal Intervention","5 to 9","South Dakota","Black","--","2,304","--"
-"Legal Intervention","5 to 9","Tennessee","White","--","304,096","--"
-"Legal Intervention","5 to 9","Tennessee","Black","--","82,016","--"
-"Legal Intervention","5 to 9","Texas","White","--","907,424","--"
-"Legal Intervention","5 to 9","Texas","Black","--","222,505","--"
-"Legal Intervention","5 to 9","Utah","White","--","225,081","--"
-"Legal Intervention","5 to 9","Utah","Black","--","4,156","--"
-"Legal Intervention","5 to 9","Vermont","White","--","28,735","--"
-"Legal Intervention","5 to 9","Vermont","Black","--","626","--"
-"Legal Intervention","5 to 9","Virginia","White","--","326,955","--"
-"Legal Intervention","5 to 9","Virginia","Black","--","109,021","--"
-"Legal Intervention","5 to 9","Washington","White","--","323,165","--"
-"Legal Intervention","5 to 9","Washington","Black","--","24,468","--"
-"Legal Intervention","5 to 9","West Virginia","White","--","86,725","--"
-"Legal Intervention","5 to 9","West Virginia","Black","--","3,819","--"
-"Legal Intervention","5 to 9","Wisconsin","White","--","265,474","--"
-"Legal Intervention","5 to 9","Wisconsin","Black","--","33,227","--"
-"Legal Intervention","5 to 9","Wyoming","White","--","31,456","--"
-"Legal Intervention","5 to 9","Wyoming","Black","--","531","--"
-"Legal Intervention","10 to 14","Alabama","White","--","205,964","--"
-"Legal Intervention","10 to 14","Alabama","Black","--","93,054","--"
-"Legal Intervention","10 to 14","Alaska","White","--","26,801","--"
-"Legal Intervention","10 to 14","Alaska","Black","--","1,591","--"
-"Legal Intervention","10 to 14","Arizona","White","--","353,118","--"
-"Legal Intervention","10 to 14","Arizona","Black","--","31,062","--"
-"Legal Intervention","10 to 14","Arkansas","White","--","148,612","--"
-"Legal Intervention","10 to 14","Arkansas","Black","--","35,517","--"
-"Legal Intervention","10 to 14","California","White","--","1,102,895","--"
-"Legal Intervention","10 to 14","California","Black","--","96,818","--"
-"Legal Intervention","10 to 14","Colorado","White","--","291,916","--"
-"Legal Intervention","10 to 14","Colorado","Black","--","18,698","--"
-"Legal Intervention","10 to 14","Connecticut","White","--","154,152","--"
-"Legal Intervention","10 to 14","Connecticut","Black","--","33,262","--"
-"Legal Intervention","10 to 14","Delaware","White","--","35,578","--"
-"Legal Intervention","10 to 14","Delaware","Black","--","17,464","--"
-"Legal Intervention","10 to 14","District of Columbia","White","--","10,030","--"
-"Legal Intervention","10 to 14","District of Columbia","Black","--","19,064","--"
-"Legal Intervention","10 to 14","Florida","White","--","595,866","--"
-"Legal Intervention","10 to 14","Florida","Black","--","199,412","--"
-"Legal Intervention","10 to 14","Georgia","White","--","395,408","--"
-"Legal Intervention","10 to 14","Georgia","Black","--","263,115","--"
-"Legal Intervention","10 to 14","Hawaii","White","--","14,561","--"
-"Legal Intervention","10 to 14","Hawaii","Black","--","1,541","--"
-"Legal Intervention","10 to 14","Idaho","White","--","124,404","--"
-"Legal Intervention","10 to 14","Idaho","Black","--","1,458","--"
-"Legal Intervention","10 to 14","Illinois","White","--","577,295","--"
-"Legal Intervention","10 to 14","Illinois","Black","--","126,689","--"
-"Legal Intervention","10 to 14","Indiana","White","--","357,385","--"
-"Legal Intervention","10 to 14","Indiana","Black","--","54,651","--"
-"Legal Intervention","10 to 14","Iowa","White","--","177,987","--"
-"Legal Intervention","10 to 14","Iowa","Black","--","12,077","--"
-"Legal Intervention","10 to 14","Kansas","White","--","165,715","--"
-"Legal Intervention","10 to 14","Kansas","Black","--","13,457","--"
-"Legal Intervention","10 to 14","Kentucky","White","--","237,204","--"
-"Legal Intervention","10 to 14","Kentucky","Black","--","28,434","--"
-"Legal Intervention","10 to 14","Louisiana","White","--","169,790","--"
-"Legal Intervention","10 to 14","Louisiana","Black","--","111,703","--"
-"Legal Intervention","10 to 14","Maine","White","--","64,831","--"
-"Legal Intervention","10 to 14","Maine","Black","--","2,340","--"
-"Legal Intervention","10 to 14","Maryland","White","--","202,753","--"
-"Legal Intervention","10 to 14","Maryland","Black","--","128,496","--"
-"Legal Intervention","10 to 14","Massachusetts","White","--","283,173","--"
-"Legal Intervention","10 to 14","Massachusetts","Black","--","46,221","--"
-"Legal Intervention","10 to 14","Michigan","White","--","444,727","--"
-"Legal Intervention","10 to 14","Michigan","Black","--","100,325","--"
-"Legal Intervention","10 to 14","Minnesota","White","--","276,061","--"
-"Legal Intervention","10 to 14","Minnesota","Black","--","41,186","--"
-"Legal Intervention","10 to 14","Mississippi","White","--","105,118","--"
-"Legal Intervention","10 to 14","Mississippi","Black","--","82,120","--"
-"Legal Intervention","10 to 14","Missouri","White","--","305,546","--"
-"Legal Intervention","10 to 14","Missouri","Black","--","53,259","--"
-"Legal Intervention","10 to 14","Montana","White","--","56,230","--"
-"Legal Intervention","10 to 14","Montana","Black","--","438","--"
-"Legal Intervention","10 to 14","Nebraska","White","--","112,646","--"
-"Legal Intervention","10 to 14","Nebraska","Black","--","8,930","--"
-"Legal Intervention","10 to 14","Nevada","White","--","136,547","--"
-"Legal Intervention","10 to 14","Nevada","Black","--","25,485","--"
-"Legal Intervention","10 to 14","New Hampshire","White","--","65,676","--"
-"Legal Intervention","10 to 14","New Hampshire","Black","--","2,061","--"
-"Legal Intervention","10 to 14","New Jersey","White","--","381,256","--"
-"Legal Intervention","10 to 14","New Jersey","Black","--","98,265","--"
-"Legal Intervention","10 to 14","New Mexico","White","--","104,490","--"
-"Legal Intervention","10 to 14","New Mexico","Black","--","4,199","--"
-"Legal Intervention","10 to 14","New York","White","--","736,068","--"
-"Legal Intervention","10 to 14","New York","Black","--","218,205","--"
-"Legal Intervention","10 to 14","North Carolina","White","--","423,841","--"
-"Legal Intervention","10 to 14","North Carolina","Black","--","160,799","--"
-"Legal Intervention","10 to 14","North Dakota","White","--","40,919","--"
-"Legal Intervention","10 to 14","North Dakota","Black","--","2,253","--"
-"Legal Intervention","10 to 14","Ohio","White","--","549,428","--"
-"Legal Intervention","10 to 14","Ohio","Black","--","118,355","--"
-"Legal Intervention","10 to 14","Oklahoma","White","--","180,955","--"
-"Legal Intervention","10 to 14","Oklahoma","Black","--","22,855","--"
-"Legal Intervention","10 to 14","Oregon","White","--","202,209","--"
-"Legal Intervention","10 to 14","Oregon","Black","--","6,843","--"
-"Legal Intervention","10 to 14","Pennsylvania","White","--","560,126","--"
-"Legal Intervention","10 to 14","Pennsylvania","Black","--","117,603","--"
-"Legal Intervention","10 to 14","Rhode Island","White","--","43,330","--"
-"Legal Intervention","10 to 14","Rhode Island","Black","--","6,969","--"
-"Legal Intervention","10 to 14","South Carolina","White","--","203,026","--"
-"Legal Intervention","10 to 14","South Carolina","Black","--","97,936","--"
-"Legal Intervention","10 to 14","South Dakota","White","--","47,707","--"
-"Legal Intervention","10 to 14","South Dakota","Black","--","2,201","--"
-"Legal Intervention","10 to 14","Tennessee","White","--","321,100","--"
-"Legal Intervention","10 to 14","Tennessee","Black","--","84,442","--"
-"Legal Intervention","10 to 14","Texas","White","--","953,731","--"
-"Legal Intervention","10 to 14","Texas","Black","--","225,425","--"
-"Legal Intervention","10 to 14","Utah","White","--","242,316","--"
-"Legal Intervention","10 to 14","Utah","Black","--","4,801","--"
-"Legal Intervention","10 to 14","Vermont","White","--","30,733","--"
-"Legal Intervention","10 to 14","Vermont","Black","--","679","--"
-"Legal Intervention","10 to 14","Virginia","White","--","339,961","--"
-"Legal Intervention","10 to 14","Virginia","Black","--","112,671","--"
-"Legal Intervention","10 to 14","Washington","White","--","341,099","--"
-"Legal Intervention","10 to 14","Washington","Black","--","24,373","--"
-"Legal Intervention","10 to 14","West Virginia","White","--","93,037","--"
-"Legal Intervention","10 to 14","West Virginia","Black","--","3,952","--"
-"Legal Intervention","10 to 14","Wisconsin","White","--","290,509","--"
-"Legal Intervention","10 to 14","Wisconsin","Black","--","33,235","--"
-"Legal Intervention","10 to 14","Wyoming","White","--","34,722","--"
-"Legal Intervention","10 to 14","Wyoming","Black","--","464","--"
-"Legal Intervention","15 to 19","Alabama","White","--","216,880","--"
-"Legal Intervention","15 to 19","Alabama","Black","--","99,145","--"
-"Legal Intervention","15 to 19","Alaska","White","--","24,423","--"
-"Legal Intervention","15 to 19","Alaska","Black","--","1,548","--"
-"Legal Intervention","15 to 19","Arizona","White","--","380,121","--"
-"Legal Intervention","15 to 19","Arizona","Black","--","30,510","--"
-"Legal Intervention","15 to 19","Arkansas","White","--","152,386","--"
-"Legal Intervention","15 to 19","Arkansas","Black","--","35,974","--"
-"Legal Intervention","15 to 19","California","White","--","1,167,778","--"
-"Legal Intervention","15 to 19","California","Black","--","101,244","--"
-"Legal Intervention","15 to 19","Colorado","White","--","312,753","--"
-"Legal Intervention","15 to 19","Colorado","Black","--","18,404","--"
-"Legal Intervention","15 to 19","Connecticut","White","--","184,851","--"
-"Legal Intervention","15 to 19","Connecticut","Black","--","35,466","--"
-"Legal Intervention","15 to 19","Delaware","White","--","38,858","--"
-"Legal Intervention","15 to 19","Delaware","Black","--","17,584","--"
-"Legal Intervention","15 to 19","District of Columbia","White","--","14,978","--"
-"Legal Intervention","15 to 19","District of Columbia","Black","--","18,189","--"
-"Legal Intervention","15 to 19","Florida","White","--","637,159","--"
-"Legal Intervention","15 to 19","Florida","Black","--","192,189","--"
-"Legal Intervention","15 to 19","Georgia","White","--","421,291","--"
-"Legal Intervention","15 to 19","Georgia","Black","--","264,705","--"
-"Legal Intervention","15 to 19","Hawaii","White","--","13,445","--"
-"Legal Intervention","15 to 19","Hawaii","Black","--","1,578","--"
-"Legal Intervention","15 to 19","Idaho","White","--","134,012","--"
-"Legal Intervention","15 to 19","Idaho","Black","--","1,700","--"
-"Legal Intervention","15 to 19","Illinois","White","--","607,968","--"
-"Legal Intervention","15 to 19","Illinois","Black","--","127,679","--"
-"Legal Intervention","15 to 19","Indiana","White","--","373,693","--"
-"Legal Intervention","15 to 19","Indiana","Black","--","53,292","--"
-"Legal Intervention","15 to 19","Iowa","White","--","192,204","--"
-"Legal Intervention","15 to 19","Iowa","Black","--","12,139","--"
-"Legal Intervention","15 to 19","Kansas","White","--","170,880","--"
-"Legal Intervention","15 to 19","Kansas","Black","--","14,109","--"
-"Legal Intervention","15 to 19","Kentucky","White","--","239,149","--"
-"Legal Intervention","15 to 19","Kentucky","Black","--","29,147","--"
-"Legal Intervention","15 to 19","Louisiana","White","--","170,127","--"
-"Legal Intervention","15 to 19","Louisiana","Black","--","113,544","--"
-"Legal Intervention","15 to 19","Maine","White","--","70,821","--"
-"Legal Intervention","15 to 19","Maine","Black","--","2,548","--"
-"Legal Intervention","15 to 19","Maryland","White","--","210,916","--"
-"Legal Intervention","15 to 19","Maryland","Black","--","125,876","--"
-"Legal Intervention","15 to 19","Massachusetts","White","--","341,219","--"
-"Legal Intervention","15 to 19","Massachusetts","Black","--","48,115","--"
-"Legal Intervention","15 to 19","Michigan","White","--","478,165","--"
-"Legal Intervention","15 to 19","Michigan","Black","--","97,777","--"
-"Legal Intervention","15 to 19","Minnesota","White","--","286,376","--"
-"Legal Intervention","15 to 19","Minnesota","Black","--","37,473","--"
-"Legal Intervention","15 to 19","Mississippi","White","--","110,623","--"
-"Legal Intervention","15 to 19","Mississippi","Black","--","87,150","--"
-"Legal Intervention","15 to 19","Missouri","White","--","315,503","--"
-"Legal Intervention","15 to 19","Missouri","Black","--","53,308","--"
-"Legal Intervention","15 to 19","Montana","White","--","57,187","--"
-"Legal Intervention","15 to 19","Montana","Black","--","548","--"
-"Legal Intervention","15 to 19","Nebraska","White","--","116,148","--"
-"Legal Intervention","15 to 19","Nebraska","Black","--","8,503","--"
-"Legal Intervention","15 to 19","Nevada","White","--","134,472","--"
-"Legal Intervention","15 to 19","Nevada","Black","--","22,771","--"
-"Legal Intervention","15 to 19","New Hampshire","White","--","73,107","--"
-"Legal Intervention","15 to 19","New Hampshire","Black","--","2,208","--"
-"Legal Intervention","15 to 19","New Jersey","White","--","397,153","--"
-"Legal Intervention","15 to 19","New Jersey","Black","--","94,125","--"
-"Legal Intervention","15 to 19","New Mexico","White","--","111,651","--"
-"Legal Intervention","15 to 19","New Mexico","Black","--","4,512","--"
-"Legal Intervention","15 to 19","New York","White","--","803,732","--"
-"Legal Intervention","15 to 19","New York","Black","--","220,809","--"
-"Legal Intervention","15 to 19","North Carolina","White","--","465,152","--"
-"Legal Intervention","15 to 19","North Carolina","Black","--","170,592","--"
-"Legal Intervention","15 to 19","North Dakota","White","--","45,303","--"
-"Legal Intervention","15 to 19","North Dakota","Black","--","1,865","--"
-"Legal Intervention","15 to 19","Ohio","White","--","576,605","--"
-"Legal Intervention","15 to 19","Ohio","Black","--","112,976","--"
-"Legal Intervention","15 to 19","Oklahoma","White","--","186,174","--"
-"Legal Intervention","15 to 19","Oklahoma","Black","--","24,525","--"
-"Legal Intervention","15 to 19","Oregon","White","--","206,630","--"
-"Legal Intervention","15 to 19","Oregon","Black","--","6,747","--"
-"Legal Intervention","15 to 19","Pennsylvania","White","--","636,865","--"
-"Legal Intervention","15 to 19","Pennsylvania","Black","--","118,367","--"
-"Legal Intervention","15 to 19","Rhode Island","White","--","56,302","--"
-"Legal Intervention","15 to 19","Rhode Island","Black","--","7,483","--"
-"Legal Intervention","15 to 19","South Carolina","White","--","218,694","--"
-"Legal Intervention","15 to 19","South Carolina","Black","--","101,172","--"
-"Legal Intervention","15 to 19","South Dakota","White","--","48,128","--"
-"Legal Intervention","15 to 19","South Dakota","Black","--","1,726","--"
-"Legal Intervention","15 to 19","Tennessee","White","--","328,074","--"
-"Legal Intervention","15 to 19","Tennessee","Black","--","83,100","--"
-"Legal Intervention","15 to 19","Texas","White","--","959,510","--"
-"Legal Intervention","15 to 19","Texas","Black","--","215,566","--"
-"Legal Intervention","15 to 19","Utah","White","--","245,060","--"
-"Legal Intervention","15 to 19","Utah","Black","--","4,625","--"
-"Legal Intervention","15 to 19","Vermont","White","--","37,526","--"
-"Legal Intervention","15 to 19","Vermont","Black","--","899","--"
-"Legal Intervention","15 to 19","Virginia","White","--","362,797","--"
-"Legal Intervention","15 to 19","Virginia","Black","--","118,104","--"
-"Legal Intervention","15 to 19","Washington","White","--","338,086","--"
-"Legal Intervention","15 to 19","Washington","Black","--","22,579","--"
-"Legal Intervention","15 to 19","West Virginia","White","--","97,496","--"
-"Legal Intervention","15 to 19","West Virginia","Black","--","4,849","--"
-"Legal Intervention","15 to 19","Wisconsin","White","--","315,281","--"
-"Legal Intervention","15 to 19","Wisconsin","Black","--","31,838","--"
-"Legal Intervention","15 to 19","Wyoming","White","--","35,452","--"
-"Legal Intervention","15 to 19","Wyoming","Black","--","482","--"
-"Legal Intervention","20 to 24","Alabama","White","--","229,203","--"
-"Legal Intervention","20 to 24","Alabama","Black","--","108,314","--"
-"Legal Intervention","20 to 24","Alaska","White","--","30,319","--"
-"Legal Intervention","20 to 24","Alaska","Black","--","2,839","--"
-"Legal Intervention","20 to 24","Arizona","White","--","412,758","--"
-"Legal Intervention","20 to 24","Arizona","Black","--","33,004","--"
-"Legal Intervention","20 to 24","Arkansas","White","--","158,002","--"
-"Legal Intervention","20 to 24","Arkansas","Black","--","39,342","--"
-"Legal Intervention","20 to 24","California","White","--","1,247,088","--"
-"Legal Intervention","20 to 24","California","Black","--","115,207","--"
-"Legal Intervention","20 to 24","Colorado","White","--","336,044","--"
-"Legal Intervention","20 to 24","Colorado","Black","--","21,525","--"
-"Legal Intervention","20 to 24","Connecticut","White","--","182,182","--"
-"Legal Intervention","20 to 24","Connecticut","Black","--","35,572","--"
-"Legal Intervention","20 to 24","Delaware","White","--","37,241","--"
-"Legal Intervention","20 to 24","Delaware","Black","--","18,013","--"
-"Legal Intervention","20 to 24","District of Columbia","White","--","23,632","--"
-"Legal Intervention","20 to 24","District of Columbia","Black","--","19,382","--"
-"Legal Intervention","20 to 24","Florida","White","--","679,404","--"
-"Legal Intervention","20 to 24","Florida","Black","--","199,250","--"
-"Legal Intervention","20 to 24","Georgia","White","--","433,877","--"
-"Legal Intervention","20 to 24","Georgia","Black","--","276,164","--"
-"Legal Intervention","20 to 24","Hawaii","White","--","26,265","--"
-"Legal Intervention","20 to 24","Hawaii","Black","--","3,657","--"
-"Legal Intervention","20 to 24","Idaho","White","--","122,210","--"
-"Legal Intervention","20 to 24","Idaho","Black","--","2,055","--"
-"Legal Intervention","20 to 24","Illinois","White","--","622,549","--"
-"Legal Intervention","20 to 24","Illinois","Black","--","137,775","--"
-"Legal Intervention","20 to 24","Indiana","White","--","397,948","--"
-"Legal Intervention","20 to 24","Indiana","Black","--","56,280","--"
-"Legal Intervention","20 to 24","Iowa","White","--","203,529","--"
-"Legal Intervention","20 to 24","Iowa","Black","--","13,181","--"
-"Legal Intervention","20 to 24","Kansas","White","--","184,291","--"
-"Legal Intervention","20 to 24","Kansas","Black","--","16,483","--"
-"Legal Intervention","20 to 24","Kentucky","White","--","258,883","--"
-"Legal Intervention","20 to 24","Kentucky","Black","--","32,644","--"
-"Legal Intervention","20 to 24","Louisiana","White","--","178,463","--"
-"Legal Intervention","20 to 24","Louisiana","Black","--","119,461","--"
-"Legal Intervention","20 to 24","Maine","White","--","71,385","--"
-"Legal Intervention","20 to 24","Maine","Black","--","2,480","--"
-"Legal Intervention","20 to 24","Maryland","White","--","208,301","--"
-"Legal Intervention","20 to 24","Maryland","Black","--","130,750","--"
-"Legal Intervention","20 to 24","Massachusetts","White","--","375,819","--"
-"Legal Intervention","20 to 24","Massachusetts","Black","--","51,126","--"
-"Legal Intervention","20 to 24","Michigan","White","--","525,093","--"
-"Legal Intervention","20 to 24","Michigan","Black","--","107,139","--"
-"Legal Intervention","20 to 24","Minnesota","White","--","289,837","--"
-"Legal Intervention","20 to 24","Minnesota","Black","--","34,188","--"
-"Legal Intervention","20 to 24","Mississippi","White","--","113,911","--"
-"Legal Intervention","20 to 24","Mississippi","Black","--","87,800","--"
-"Legal Intervention","20 to 24","Missouri","White","--","334,793","--"
-"Legal Intervention","20 to 24","Missouri","Black","--","55,686","--"
-"Legal Intervention","20 to 24","Montana","White","--","66,748","--"
-"Legal Intervention","20 to 24","Montana","Black","--","890","--"
-"Legal Intervention","20 to 24","Nebraska","White","--","122,100","--"
-"Legal Intervention","20 to 24","Nebraska","Black","--","8,495","--"
-"Legal Intervention","20 to 24","Nevada","White","--","137,404","--"
-"Legal Intervention","20 to 24","Nevada","Black","--","23,445","--"
-"Legal Intervention","20 to 24","New Hampshire","White","--","78,484","--"
-"Legal Intervention","20 to 24","New Hampshire","Black","--","2,355","--"
-"Legal Intervention","20 to 24","New Jersey","White","--","397,324","--"
-"Legal Intervention","20 to 24","New Jersey","Black","--","100,941","--"
-"Legal Intervention","20 to 24","New Mexico","White","--","118,089","--"
-"Legal Intervention","20 to 24","New Mexico","Black","--","5,172","--"
-"Legal Intervention","20 to 24","New York","White","--","865,371","--"
-"Legal Intervention","20 to 24","New York","Black","--","248,202","--"
-"Legal Intervention","20 to 24","North Carolina","White","--","499,730","--"
-"Legal Intervention","20 to 24","North Carolina","Black","--","180,717","--"
-"Legal Intervention","20 to 24","North Dakota","White","--","54,872","--"
-"Legal Intervention","20 to 24","North Dakota","Black","--","2,593","--"
-"Legal Intervention","20 to 24","Ohio","White","--","602,331","--"
-"Legal Intervention","20 to 24","Ohio","Black","--","116,570","--"
-"Legal Intervention","20 to 24","Oklahoma","White","--","200,949","--"
-"Legal Intervention","20 to 24","Oklahoma","Black","--","27,499","--"
-"Legal Intervention","20 to 24","Oregon","White","--","221,973","--"
-"Legal Intervention","20 to 24","Oregon","Black","--","7,756","--"
-"Legal Intervention","20 to 24","Pennsylvania","White","--","643,288","--"
-"Legal Intervention","20 to 24","Pennsylvania","Black","--","123,305","--"
-"Legal Intervention","20 to 24","Rhode Island","White","--","60,888","--"
-"Legal Intervention","20 to 24","Rhode Island","Black","--","8,507","--"
-"Legal Intervention","20 to 24","South Carolina","White","--","226,532","--"
-"Legal Intervention","20 to 24","South Carolina","Black","--","104,775","--"
-"Legal Intervention","20 to 24","South Dakota","White","--","50,224","--"
-"Legal Intervention","20 to 24","South Dakota","Black","--","1,926","--"
-"Legal Intervention","20 to 24","Tennessee","White","--","357,420","--"
-"Legal Intervention","20 to 24","Tennessee","Black","--","91,576","--"
-"Legal Intervention","20 to 24","Texas","White","--","968,701","--"
-"Legal Intervention","20 to 24","Texas","Black","--","222,580","--"
-"Legal Intervention","20 to 24","Utah","White","--","265,862","--"
-"Legal Intervention","20 to 24","Utah","Black","--","5,181","--"
-"Legal Intervention","20 to 24","Vermont","White","--","41,427","--"
-"Legal Intervention","20 to 24","Vermont","Black","--","1,168","--"
-"Legal Intervention","20 to 24","Virginia","White","--","392,248","--"
-"Legal Intervention","20 to 24","Virginia","Black","--","127,737","--"
-"Legal Intervention","20 to 24","Washington","White","--","366,738","--"
-"Legal Intervention","20 to 24","Washington","Black","--","28,153","--"
-"Legal Intervention","20 to 24","West Virginia","White","--","104,864","--"
-"Legal Intervention","20 to 24","West Virginia","Black","--","5,565","--"
-"Legal Intervention","20 to 24","Wisconsin","White","--","341,260","--"
-"Legal Intervention","20 to 24","Wisconsin","Black","--","32,637","--"
-"Legal Intervention","20 to 24","Wyoming","White","--","35,389","--"
-"Legal Intervention","20 to 24","Wyoming","Black","--","755","--"
-"Legal Intervention","25 to 29","Alabama","White","--","208,303","--"
-"Legal Intervention","25 to 29","Alabama","Black","--","97,392","--"
-"Legal Intervention","25 to 29","Alaska","White","--","33,722","--"
-"Legal Intervention","25 to 29","Alaska","Black","--","2,657","--"
-"Legal Intervention","25 to 29","Arizona","White","--","398,591","--"
-"Legal Intervention","25 to 29","Arizona","Black","--","34,860","--"
-"Legal Intervention","25 to 29","Arkansas","White","--","146,268","--"
-"Legal Intervention","25 to 29","Arkansas","Black","--","35,042","--"
-"Legal Intervention","25 to 29","California","White","--","1,308,629","--"
-"Legal Intervention","25 to 29","California","Black","--","132,463","--"
-"Legal Intervention","25 to 29","Colorado","White","--","374,261","--"
-"Legal Intervention","25 to 29","Colorado","Black","--","24,799","--"
-"Legal Intervention","25 to 29","Connecticut","White","--","165,033","--"
-"Legal Intervention","25 to 29","Connecticut","Black","--","35,425","--"
-"Legal Intervention","25 to 29","Delaware","White","--","37,662","--"
-"Legal Intervention","25 to 29","Delaware","Black","--","16,633","--"
-"Legal Intervention","25 to 29","District of Columbia","White","--","39,791","--"
-"Legal Intervention","25 to 29","District of Columbia","Black","--","23,847","--"
-"Legal Intervention","25 to 29","Florida","White","--","680,730","--"
-"Legal Intervention","25 to 29","Florida","Black","--","200,273","--"
-"Legal Intervention","25 to 29","Georgia","White","--","406,681","--"
-"Legal Intervention","25 to 29","Georgia","Black","--","272,771","--"
-"Legal Intervention","25 to 29","Hawaii","White","--","25,925","--"
-"Legal Intervention","25 to 29","Hawaii","Black","--","3,784","--"
-"Legal Intervention","25 to 29","Idaho","White","--","112,805","--"
-"Legal Intervention","25 to 29","Idaho","Black","--","1,814","--"
-"Legal Intervention","25 to 29","Illinois","White","--","605,241","--"
-"Legal Intervention","25 to 29","Illinois","Black","--","143,191","--"
-"Legal Intervention","25 to 29","Indiana","White","--","358,013","--"
-"Legal Intervention","25 to 29","Indiana","Black","--","55,315","--"
-"Legal Intervention","25 to 29","Iowa","White","--","171,023","--"
-"Legal Intervention","25 to 29","Iowa","Black","--","12,446","--"
-"Legal Intervention","25 to 29","Kansas","White","--","154,576","--"
-"Legal Intervention","25 to 29","Kansas","Black","--","14,518","--"
-"Legal Intervention","25 to 29","Kentucky","White","--","246,636","--"
-"Legal Intervention","25 to 29","Kentucky","Black","--","30,715","--"
-"Legal Intervention","25 to 29","Louisiana","White","--","170,334","--"
-"Legal Intervention","25 to 29","Louisiana","Black","--","106,944","--"
-"Legal Intervention","25 to 29","Maine","White","--","73,679","--"
-"Legal Intervention","25 to 29","Maine","Black","--","2,389","--"
-"Legal Intervention","25 to 29","Maryland","White","--","207,857","--"
-"Legal Intervention","25 to 29","Maryland","Black","--","133,479","--"
-"Legal Intervention","25 to 29","Massachusetts","White","--","363,319","--"
-"Legal Intervention","25 to 29","Massachusetts","Black","--","51,433","--"
-"Legal Intervention","25 to 29","Michigan","White","--","484,438","--"
-"Legal Intervention","25 to 29","Michigan","Black","--","108,908","--"
-"Legal Intervention","25 to 29","Minnesota","White","--","282,348","--"
-"Legal Intervention","25 to 29","Minnesota","Black","--","33,390","--"
-"Legal Intervention","25 to 29","Mississippi","White","--","100,419","--"
-"Legal Intervention","25 to 29","Mississippi","Black","--","78,243","--"
-"Legal Intervention","25 to 29","Missouri","White","--","314,942","--"
-"Legal Intervention","25 to 29","Missouri","Black","--","55,274","--"
-"Legal Intervention","25 to 29","Montana","White","--","62,246","--"
-"Legal Intervention","25 to 29","Montana","Black","--","770","--"
-"Legal Intervention","25 to 29","Nebraska","White","--","106,372","--"
-"Legal Intervention","25 to 29","Nebraska","Black","--","8,554","--"
-"Legal Intervention","25 to 29","Nevada","White","--","152,178","--"
-"Legal Intervention","25 to 29","Nevada","Black","--","28,186","--"
-"Legal Intervention","25 to 29","New Hampshire","White","--","78,533","--"
-"Legal Intervention","25 to 29","New Hampshire","Black","--","2,383","--"
-"Legal Intervention","25 to 29","New Jersey","White","--","389,303","--"
-"Legal Intervention","25 to 29","New Jersey","Black","--","104,093","--"
-"Legal Intervention","25 to 29","New Mexico","White","--","107,156","--"
-"Legal Intervention","25 to 29","New Mexico","Black","--","4,727","--"
-"Legal Intervention","25 to 29","New York","White","--","887,577","--"
-"Legal Intervention","25 to 29","New York","Black","--","261,092","--"
-"Legal Intervention","25 to 29","North Carolina","White","--","468,805","--"
-"Legal Intervention","25 to 29","North Carolina","Black","--","173,348","--"
-"Legal Intervention","25 to 29","North Dakota","White","--","44,860","--"
-"Legal Intervention","25 to 29","North Dakota","Black","--","2,797","--"
-"Legal Intervention","25 to 29","Ohio","White","--","586,432","--"
-"Legal Intervention","25 to 29","Ohio","Black","--","119,059","--"
-"Legal Intervention","25 to 29","Oklahoma","White","--","183,119","--"
-"Legal Intervention","25 to 29","Oklahoma","Black","--","25,642","--"
-"Legal Intervention","25 to 29","Oregon","White","--","232,336","--"
-"Legal Intervention","25 to 29","Oregon","Black","--","8,915","--"
-"Legal Intervention","25 to 29","Pennsylvania","White","--","615,684","--"
-"Legal Intervention","25 to 29","Pennsylvania","Black","--","122,841","--"
-"Legal Intervention","25 to 29","Rhode Island","White","--","57,055","--"
-"Legal Intervention","25 to 29","Rhode Island","Black","--","8,130","--"
-"Legal Intervention","25 to 29","South Carolina","White","--","213,793","--"
-"Legal Intervention","25 to 29","South Carolina","Black","--","95,617","--"
-"Legal Intervention","25 to 29","South Dakota","White","--","45,508","--"
-"Legal Intervention","25 to 29","South Dakota","Black","--","1,969","--"
-"Legal Intervention","25 to 29","Tennessee","White","--","363,007","--"
-"Legal Intervention","25 to 29","Tennessee","Black","--","93,553","--"
-"Legal Intervention","25 to 29","Texas","White","--","997,897","--"
-"Legal Intervention","25 to 29","Texas","Black","--","247,990","--"
-"Legal Intervention","25 to 29","Utah","White","--","226,852","--"
-"Legal Intervention","25 to 29","Utah","Black","--","5,355","--"
-"Legal Intervention","25 to 29","Vermont","White","--","34,440","--"
-"Legal Intervention","25 to 29","Vermont","Black","--","895","--"
-"Legal Intervention","25 to 29","Virginia","White","--","377,098","--"
-"Legal Intervention","25 to 29","Virginia","Black","--","126,319","--"
-"Legal Intervention","25 to 29","Washington","White","--","401,822","--"
-"Legal Intervention","25 to 29","Washington","Black","--","30,976","--"
-"Legal Intervention","25 to 29","West Virginia","White","--","95,321","--"
-"Legal Intervention","25 to 29","West Virginia","Black","--","5,141","--"
-"Legal Intervention","25 to 29","Wisconsin","White","--","301,974","--"
-"Legal Intervention","25 to 29","Wisconsin","Black","--","32,272","--"
-"Legal Intervention","25 to 29","Wyoming","White","--","31,459","--"
-"Legal Intervention","25 to 29","Wyoming","Black","--","573","--"
-"Legal Intervention","30 to 34","Alabama","White","--","221,016","--"
-"Legal Intervention","30 to 34","Alabama","Black","--","101,298","--"
-"Legal Intervention","30 to 34","Alaska","White","--","37,587","--"
-"Legal Intervention","30 to 34","Alaska","Black","--","2,605","--"
-"Legal Intervention","30 to 34","Arizona","White","--","400,296","--"
-"Legal Intervention","30 to 34","Arizona","Black","--","36,454","--"
-"Legal Intervention","30 to 34","Arkansas","White","--","154,054","--"
-"Legal Intervention","30 to 34","Arkansas","Black","--","34,888","--"
-"Legal Intervention","30 to 34","California","White","11**","1,394,002","0.79"
-"Legal Intervention","30 to 34","California","Black","--","147,840","--"
-"Legal Intervention","30 to 34","Colorado","White","--","399,639","--"
-"Legal Intervention","30 to 34","Colorado","Black","--","26,098","--"
-"Legal Intervention","30 to 34","Connecticut","White","--","167,654","--"
-"Legal Intervention","30 to 34","Connecticut","Black","--","37,599","--"
-"Legal Intervention","30 to 34","Delaware","White","--","43,963","--"
-"Legal Intervention","30 to 34","Delaware","Black","--","17,454","--"
-"Legal Intervention","30 to 34","District of Columbia","White","--","40,917","--"
-"Legal Intervention","30 to 34","District of Columbia","Black","--","26,733","--"
-"Legal Intervention","30 to 34","Florida","White","--","754,132","--"
-"Legal Intervention","30 to 34","Florida","Black","--","217,922","--"
-"Legal Intervention","30 to 34","Georgia","White","--","421,111","--"
-"Legal Intervention","30 to 34","Georgia","Black","--","284,269","--"
-"Legal Intervention","30 to 34","Hawaii","White","--","27,147","--"
-"Legal Intervention","30 to 34","Hawaii","Black","--","3,551","--"
-"Legal Intervention","30 to 34","Idaho","White","--","115,796","--"
-"Legal Intervention","30 to 34","Idaho","Black","--","1,751","--"
-"Legal Intervention","30 to 34","Illinois","White","--","624,807","--"
-"Legal Intervention","30 to 34","Illinois","Black","--","144,191","--"
-"Legal Intervention","30 to 34","Indiana","White","--","367,915","--"
-"Legal Intervention","30 to 34","Indiana","Black","--","56,145","--"
-"Legal Intervention","30 to 34","Iowa","White","--","171,785","--"
-"Legal Intervention","30 to 34","Iowa","Black","--","12,583","--"
-"Legal Intervention","30 to 34","Kansas","White","--","155,929","--"
-"Legal Intervention","30 to 34","Kansas","Black","--","14,363","--"
-"Legal Intervention","30 to 34","Kentucky","White","--","255,261","--"
-"Legal Intervention","30 to 34","Kentucky","Black","--","30,638","--"
-"Legal Intervention","30 to 34","Louisiana","White","--","191,021","--"
-"Legal Intervention","30 to 34","Louisiana","Black","--","110,877","--"
-"Legal Intervention","30 to 34","Maine","White","--","81,521","--"
-"Legal Intervention","30 to 34","Maine","Black","--","2,306","--"
-"Legal Intervention","30 to 34","Maryland","White","--","229,640","--"
-"Legal Intervention","30 to 34","Maryland","Black","--","147,207","--"
-"Legal Intervention","30 to 34","Massachusetts","White","--","370,231","--"
-"Legal Intervention","30 to 34","Massachusetts","Black","--","53,899","--"
-"Legal Intervention","30 to 34","Michigan","White","--","499,593","--"
-"Legal Intervention","30 to 34","Michigan","Black","--","115,573","--"
-"Legal Intervention","30 to 34","Minnesota","White","--","294,177","--"
-"Legal Intervention","30 to 34","Minnesota","Black","--","36,830","--"
-"Legal Intervention","30 to 34","Mississippi","White","--","106,229","--"
-"Legal Intervention","30 to 34","Mississippi","Black","--","78,329","--"
-"Legal Intervention","30 to 34","Missouri","White","--","329,572","--"
-"Legal Intervention","30 to 34","Missouri","Black","--","57,677","--"
-"Legal Intervention","30 to 34","Montana","White","--","64,718","--"
-"Legal Intervention","30 to 34","Montana","Black","--","725","--"
-"Legal Intervention","30 to 34","Nebraska","White","--","106,113","--"
-"Legal Intervention","30 to 34","Nebraska","Black","--","8,612","--"
-"Legal Intervention","30 to 34","Nevada","White","--","164,879","--"
-"Legal Intervention","30 to 34","Nevada","Black","--","31,678","--"
-"Legal Intervention","30 to 34","New Hampshire","White","--","83,513","--"
-"Legal Intervention","30 to 34","New Hampshire","Black","--","2,547","--"
-"Legal Intervention","30 to 34","New Jersey","White","--","404,148","--"
-"Legal Intervention","30 to 34","New Jersey","Black","--","111,781","--"
-"Legal Intervention","30 to 34","New Mexico","White","--","110,168","--"
-"Legal Intervention","30 to 34","New Mexico","Black","--","4,918","--"
-"Legal Intervention","30 to 34","New York","White","--","916,555","--"
-"Legal Intervention","30 to 34","New York","Black","--","280,002","--"
-"Legal Intervention","30 to 34","North Carolina","White","--","489,469","--"
-"Legal Intervention","30 to 34","North Carolina","Black","--","180,918","--"
-"Legal Intervention","30 to 34","North Dakota","White","--","46,292","--"
-"Legal Intervention","30 to 34","North Dakota","Black","--","3,208","--"
-"Legal Intervention","30 to 34","Ohio","White","--","614,360","--"
-"Legal Intervention","30 to 34","Ohio","Black","--","123,992","--"
-"Legal Intervention","30 to 34","Oklahoma","White","--","195,595","--"
-"Legal Intervention","30 to 34","Oklahoma","Black","--","25,714","--"
-"Legal Intervention","30 to 34","Oregon","White","--","258,032","--"
-"Legal Intervention","30 to 34","Oregon","Black","--","9,689","--"
-"Legal Intervention","30 to 34","Pennsylvania","White","--","671,746","--"
-"Legal Intervention","30 to 34","Pennsylvania","Black","--","131,867","--"
-"Legal Intervention","30 to 34","Rhode Island","White","--","62,877","--"
-"Legal Intervention","30 to 34","Rhode Island","Black","--","8,564","--"
-"Legal Intervention","30 to 34","South Carolina","White","--","232,397","--"
-"Legal Intervention","30 to 34","South Carolina","Black","--","103,145","--"
-"Legal Intervention","30 to 34","South Dakota","White","--","46,551","--"
-"Legal Intervention","30 to 34","South Dakota","Black","--","2,350","--"
-"Legal Intervention","30 to 34","Tennessee","White","--","373,704","--"
-"Legal Intervention","30 to 34","Tennessee","Black","--","95,251","--"
-"Legal Intervention","30 to 34","Texas","White","--","1,022,242","--"
-"Legal Intervention","30 to 34","Texas","Black","--","260,691","--"
-"Legal Intervention","30 to 34","Utah","White","--","211,442","--"
-"Legal Intervention","30 to 34","Utah","Black","--","5,406","--"
-"Legal Intervention","30 to 34","Vermont","White","--","36,896","--"
-"Legal Intervention","30 to 34","Vermont","Black","--","874","--"
-"Legal Intervention","30 to 34","Virginia","White","--","392,756","--"
-"Legal Intervention","30 to 34","Virginia","Black","--","133,142","--"
-"Legal Intervention","30 to 34","Washington","White","--","447,401","--"
-"Legal Intervention","30 to 34","Washington","Black","--","33,773","--"
-"Legal Intervention","30 to 34","West Virginia","White","--","99,132","--"
-"Legal Intervention","30 to 34","West Virginia","Black","--","5,323","--"
-"Legal Intervention","30 to 34","Wisconsin","White","--","301,697","--"
-"Legal Intervention","30 to 34","Wisconsin","Black","--","32,048","--"
-"Legal Intervention","30 to 34","Wyoming","White","--","34,581","--"
-"Legal Intervention","30 to 34","Wyoming","Black","--","662","--"
-"Legal Intervention","35 to 39","Alabama","White","--","210,362","--"
-"Legal Intervention","35 to 39","Alabama","Black","--","87,181","--"
-"Legal Intervention","35 to 39","Alaska","White","--","37,109","--"
-"Legal Intervention","35 to 39","Alaska","Black","--","2,130","--"
-"Legal Intervention","35 to 39","Arizona","White","--","374,400","--"
-"Legal Intervention","35 to 39","Arizona","Black","--","31,202","--"
-"Legal Intervention","35 to 39","Arkansas","White","--","148,742","--"
-"Legal Intervention","35 to 39","Arkansas","Black","--","30,615","--"
-"Legal Intervention","35 to 39","California","White","--","1,293,685","--"
-"Legal Intervention","35 to 39","California","Black","--","122,343","--"
-"Legal Intervention","35 to 39","Colorado","White","--","379,513","--"
-"Legal Intervention","35 to 39","Colorado","Black","--","22,296","--"
-"Legal Intervention","35 to 39","Connecticut","White","--","176,238","--"
-"Legal Intervention","35 to 39","Connecticut","Black","--","33,636","--"
-"Legal Intervention","35 to 39","Delaware","White","--","41,456","--"
-"Legal Intervention","35 to 39","Delaware","Black","--","15,689","--"
-"Legal Intervention","35 to 39","District of Columbia","White","--","35,137","--"
-"Legal Intervention","35 to 39","District of Columbia","Black","--","21,155","--"
-"Legal Intervention","35 to 39","Florida","White","--","749,761","--"
-"Legal Intervention","35 to 39","Florida","Black","--","194,011","--"
-"Legal Intervention","35 to 39","Georgia","White","--","413,541","--"
-"Legal Intervention","35 to 39","Georgia","Black","--","249,434","--"
-"Legal Intervention","35 to 39","Hawaii","White","--","28,516","--"
-"Legal Intervention","35 to 39","Hawaii","Black","--","2,993","--"
-"Legal Intervention","35 to 39","Idaho","White","--","116,759","--"
-"Legal Intervention","35 to 39","Idaho","Black","--","1,334","--"
-"Legal Intervention","35 to 39","Illinois","White","--","634,453","--"
-"Legal Intervention","35 to 39","Illinois","Black","--","119,091","--"
-"Legal Intervention","35 to 39","Indiana","White","--","356,673","--"
-"Legal Intervention","35 to 39","Indiana","Black","--","47,642","--"
-"Legal Intervention","35 to 39","Iowa","White","--","177,126","--"
-"Legal Intervention","35 to 39","Iowa","Black","--","10,766","--"
-"Legal Intervention","35 to 39","Kansas","White","--","162,654","--"
-"Legal Intervention","35 to 39","Kansas","Black","--","12,660","--"
-"Legal Intervention","35 to 39","Kentucky","White","--","240,004","--"
-"Legal Intervention","35 to 39","Kentucky","Black","--","25,285","--"
-"Legal Intervention","35 to 39","Louisiana","White","--","192,808","--"
-"Legal Intervention","35 to 39","Louisiana","Black","--","101,540","--"
-"Legal Intervention","35 to 39","Maine","White","--","80,230","--"
-"Legal Intervention","35 to 39","Maine","Black","--","2,114","--"
-"Legal Intervention","35 to 39","Maryland","White","--","240,651","--"
-"Legal Intervention","35 to 39","Maryland","Black","--","136,369","--"
-"Legal Intervention","35 to 39","Massachusetts","White","--","360,258","--"
-"Legal Intervention","35 to 39","Massachusetts","Black","--","48,015","--"
-"Legal Intervention","35 to 39","Michigan","White","--","477,516","--"
-"Legal Intervention","35 to 39","Michigan","Black","--","84,922","--"
-"Legal Intervention","35 to 39","Minnesota","White","--","315,090","--"
-"Legal Intervention","35 to 39","Minnesota","Black","--","35,488","--"
-"Legal Intervention","35 to 39","Mississippi","White","--","103,453","--"
-"Legal Intervention","35 to 39","Mississippi","Black","--","70,314","--"
-"Legal Intervention","35 to 39","Missouri","White","--","330,128","--"
-"Legal Intervention","35 to 39","Missouri","Black","--","47,281","--"
-"Legal Intervention","35 to 39","Montana","White","--","64,718","--"
-"Legal Intervention","35 to 39","Montana","Black","--","517","--"
-"Legal Intervention","35 to 39","Nebraska","White","--","113,460","--"
-"Legal Intervention","35 to 39","Nebraska","Black","--","7,344","--"
-"Legal Intervention","35 to 39","Nevada","White","--","159,735","--"
-"Legal Intervention","35 to 39","Nevada","Black","--","25,614","--"
-"Legal Intervention","35 to 39","New Hampshire","White","--","80,710","--"
-"Legal Intervention","35 to 39","New Hampshire","Black","--","2,184","--"
-"Legal Intervention","35 to 39","New Jersey","White","--","412,694","--"
-"Legal Intervention","35 to 39","New Jersey","Black","--","98,614","--"
-"Legal Intervention","35 to 39","New Mexico","White","--","111,233","--"
-"Legal Intervention","35 to 39","New Mexico","Black","--","4,248","--"
-"Legal Intervention","35 to 39","New York","White","--","878,009","--"
-"Legal Intervention","35 to 39","New York","Black","--","235,830","--"
-"Legal Intervention","35 to 39","North Carolina","White","--","466,483","--"
-"Legal Intervention","35 to 39","North Carolina","Black","--","153,597","--"
-"Legal Intervention","35 to 39","North Dakota","White","--","45,397","--"
-"Legal Intervention","35 to 39","North Dakota","Black","--","2,707","--"
-"Legal Intervention","35 to 39","Ohio","White","--","591,610","--"
-"Legal Intervention","35 to 39","Ohio","Black","--","101,353","--"
-"Legal Intervention","35 to 39","Oklahoma","White","--","197,004","--"
-"Legal Intervention","35 to 39","Oklahoma","Black","--","21,974","--"
-"Legal Intervention","35 to 39","Oregon","White","--","253,916","--"
-"Legal Intervention","35 to 39","Oregon","Black","--","8,196","--"
-"Legal Intervention","35 to 39","Pennsylvania","White","--","661,011","--"
-"Legal Intervention","35 to 39","Pennsylvania","Black","--","106,037","--"
-"Legal Intervention","35 to 39","Rhode Island","White","--","57,478","--"
-"Legal Intervention","35 to 39","Rhode Island","Black","--","7,057","--"
-"Legal Intervention","35 to 39","South Carolina","White","--","223,851","--"
-"Legal Intervention","35 to 39","South Carolina","Black","--","88,168","--"
-"Legal Intervention","35 to 39","South Dakota","White","--","48,643","--"
-"Legal Intervention","35 to 39","South Dakota","Black","--","2,389","--"
-"Legal Intervention","35 to 39","Tennessee","White","--","349,232","--"
-"Legal Intervention","35 to 39","Tennessee","Black","--","77,639","--"
-"Legal Intervention","35 to 39","Texas","White","--","1,006,051","--"
-"Legal Intervention","35 to 39","Texas","Black","--","231,449","--"
-"Legal Intervention","35 to 39","Utah","White","--","203,249","--"
-"Legal Intervention","35 to 39","Utah","Black","--","3,902","--"
-"Legal Intervention","35 to 39","Vermont","White","--","37,412","--"
-"Legal Intervention","35 to 39","Vermont","Black","--","770","--"
-"Legal Intervention","35 to 39","Virginia","White","--","399,910","--"
-"Legal Intervention","35 to 39","Virginia","Black","--","120,537","--"
-"Legal Intervention","35 to 39","Washington","White","--","430,046","--"
-"Legal Intervention","35 to 39","Washington","Black","--","30,986","--"
-"Legal Intervention","35 to 39","West Virginia","White","--","93,540","--"
-"Legal Intervention","35 to 39","West Virginia","Black","--","4,615","--"
-"Legal Intervention","35 to 39","Wisconsin","White","--","318,452","--"
-"Legal Intervention","35 to 39","Wisconsin","Black","--","25,926","--"
-"Legal Intervention","35 to 39","Wyoming","White","--","36,601","--"
-"Legal Intervention","35 to 39","Wyoming","Black","--","554","--"
-"Legal Intervention","40 to 44","Alabama","White","--","210,772","--"
-"Legal Intervention","40 to 44","Alabama","Black","--","86,946","--"
-"Legal Intervention","40 to 44","Alaska","White","--","32,773","--"
-"Legal Intervention","40 to 44","Alaska","Black","--","1,791","--"
-"Legal Intervention","40 to 44","Arizona","White","--","365,823","--"
-"Legal Intervention","40 to 44","Arizona","Black","--","27,909","--"
-"Legal Intervention","40 to 44","Arkansas","White","--","150,009","--"
-"Legal Intervention","40 to 44","Arkansas","Black","--","29,998","--"
-"Legal Intervention","40 to 44","California","White","--","1,213,797","--"
-"Legal Intervention","40 to 44","California","Black","--","109,494","--"
-"Legal Intervention","40 to 44","Colorado","White","--","349,810","--"
-"Legal Intervention","40 to 44","Colorado","Black","--","19,637","--"
-"Legal Intervention","40 to 44","Connecticut","White","--","170,549","--"
-"Legal Intervention","40 to 44","Connecticut","Black","--","32,361","--"
-"Legal Intervention","40 to 44","Delaware","White","--","39,338","--"
-"Legal Intervention","40 to 44","Delaware","Black","--","15,322","--"
-"Legal Intervention","40 to 44","District of Columbia","White","--","25,106","--"
-"Legal Intervention","40 to 44","District of Columbia","Black","--","18,856","--"
-"Legal Intervention","40 to 44","Florida","White","--","740,765","--"
-"Legal Intervention","40 to 44","Florida","Black","--","182,808","--"
-"Legal Intervention","40 to 44","Georgia","White","--","410,462","--"
-"Legal Intervention","40 to 44","Georgia","Black","--","246,676","--"
-"Legal Intervention","40 to 44","Hawaii","White","--","25,021","--"
-"Legal Intervention","40 to 44","Hawaii","Black","--","2,302","--"
-"Legal Intervention","40 to 44","Idaho","White","--","117,558","--"
-"Legal Intervention","40 to 44","Idaho","Black","--","1,230","--"
-"Legal Intervention","40 to 44","Illinois","White","--","628,418","--"
-"Legal Intervention","40 to 44","Illinois","Black","--","115,636","--"
-"Legal Intervention","40 to 44","Indiana","White","--","360,585","--"
-"Legal Intervention","40 to 44","Indiana","Black","--","45,374","--"
-"Legal Intervention","40 to 44","Iowa","White","--","181,479","--"
-"Legal Intervention","40 to 44","Iowa","Black","--","9,638","--"
-"Legal Intervention","40 to 44","Kansas","White","--","160,215","--"
-"Legal Intervention","40 to 44","Kansas","Black","--","11,778","--"
-"Legal Intervention","40 to 44","Kentucky","White","--","247,881","--"
-"Legal Intervention","40 to 44","Kentucky","Black","--","25,210","--"
-"Legal Intervention","40 to 44","Louisiana","White","--","187,793","--"
-"Legal Intervention","40 to 44","Louisiana","Black","--","95,351","--"
-"Legal Intervention","40 to 44","Maine","White","--","77,317","--"
-"Legal Intervention","40 to 44","Maine","Black","--","1,777","--"
-"Legal Intervention","40 to 44","Maryland","White","--","228,824","--"
-"Legal Intervention","40 to 44","Maryland","Black","--","131,178","--"
-"Legal Intervention","40 to 44","Massachusetts","White","--","334,743","--"
-"Legal Intervention","40 to 44","Massachusetts","Black","--","43,772","--"
-"Legal Intervention","40 to 44","Michigan","White","--","477,344","--"
-"Legal Intervention","40 to 44","Michigan","Black","--","81,842","--"
-"Legal Intervention","40 to 44","Minnesota","White","--","313,110","--"
-"Legal Intervention","40 to 44","Minnesota","Black","--","30,082","--"
-"Legal Intervention","40 to 44","Mississippi","White","--","105,833","--"
-"Legal Intervention","40 to 44","Mississippi","Black","--","72,580","--"
-"Legal Intervention","40 to 44","Missouri","White","--","323,601","--"
-"Legal Intervention","40 to 44","Missouri","Black","--","44,866","--"
-"Legal Intervention","40 to 44","Montana","White","--","64,191","--"
-"Legal Intervention","40 to 44","Montana","Black","--","474","--"
-"Legal Intervention","40 to 44","Nebraska","White","--","111,287","--"
-"Legal Intervention","40 to 44","Nebraska","Black","--","7,212","--"
-"Legal Intervention","40 to 44","Nevada","White","--","152,947","--"
-"Legal Intervention","40 to 44","Nevada","Black","--","22,933","--"
-"Legal Intervention","40 to 44","New Hampshire","White","--","76,091","--"
-"Legal Intervention","40 to 44","New Hampshire","Black","--","1,918","--"
-"Legal Intervention","40 to 44","New Jersey","White","--","409,443","--"
-"Legal Intervention","40 to 44","New Jersey","Black","--","95,898","--"
-"Legal Intervention","40 to 44","New Mexico","White","--","105,938","--"
-"Legal Intervention","40 to 44","New Mexico","Black","--","3,661","--"
-"Legal Intervention","40 to 44","New York","White","--","822,923","--"
-"Legal Intervention","40 to 44","New York","Black","--","221,353","--"
-"Legal Intervention","40 to 44","North Carolina","White","--","462,870","--"
-"Legal Intervention","40 to 44","North Carolina","Black","--","149,385","--"
-"Legal Intervention","40 to 44","North Dakota","White","--","41,690","--"
-"Legal Intervention","40 to 44","North Dakota","Black","--","2,026","--"
-"Legal Intervention","40 to 44","Ohio","White","--","587,119","--"
-"Legal Intervention","40 to 44","Ohio","Black","--","95,008","--"
-"Legal Intervention","40 to 44","Oklahoma","White","--","191,885","--"
-"Legal Intervention","40 to 44","Oklahoma","Black","--","20,539","--"
-"Legal Intervention","40 to 44","Oregon","White","--","250,165","--"
-"Legal Intervention","40 to 44","Oregon","Black","--","7,403","--"
-"Legal Intervention","40 to 44","Pennsylvania","White","--","628,906","--"
-"Legal Intervention","40 to 44","Pennsylvania","Black","--","96,925","--"
-"Legal Intervention","40 to 44","Rhode Island","White","--","54,343","--"
-"Legal Intervention","40 to 44","Rhode Island","Black","--","6,762","--"
-"Legal Intervention","40 to 44","South Carolina","White","--","220,831","--"
-"Legal Intervention","40 to 44","South Carolina","Black","--","86,318","--"
-"Legal Intervention","40 to 44","South Dakota","White","--","48,134","--"
-"Legal Intervention","40 to 44","South Dakota","Black","--","1,724","--"
-"Legal Intervention","40 to 44","Tennessee","White","--","346,131","--"
-"Legal Intervention","40 to 44","Tennessee","Black","--","75,108","--"
-"Legal Intervention","40 to 44","Texas","White","--","954,951","--"
-"Legal Intervention","40 to 44","Texas","Black","--","217,541","--"
-"Legal Intervention","40 to 44","Utah","White","--","215,984","--"
-"Legal Intervention","40 to 44","Utah","Black","--","3,430","--"
-"Legal Intervention","40 to 44","Vermont","White","--","36,638","--"
-"Legal Intervention","40 to 44","Vermont","Black","--","700","--"
-"Legal Intervention","40 to 44","Virginia","White","--","386,386","--"
-"Legal Intervention","40 to 44","Virginia","Black","--","114,657","--"
-"Legal Intervention","40 to 44","Washington","White","--","403,069","--"
-"Legal Intervention","40 to 44","Washington","Black","--","27,082","--"
-"Legal Intervention","40 to 44","West Virginia","White","--","102,094","--"
-"Legal Intervention","40 to 44","West Virginia","Black","--","4,386","--"
-"Legal Intervention","40 to 44","Wisconsin","White","--","322,977","--"
-"Legal Intervention","40 to 44","Wisconsin","Black","--","24,109","--"
-"Legal Intervention","40 to 44","Wyoming","White","--","35,587","--"
-"Legal Intervention","40 to 44","Wyoming","Black","--","493","--"
-"Legal Intervention","45 to 49","Alabama","White","--","205,824","--"
-"Legal Intervention","45 to 49","Alabama","Black","--","78,627","--"
-"Legal Intervention","45 to 49","Alaska","White","--","27,719","--"
-"Legal Intervention","45 to 49","Alaska","Black","--","1,523","--"
-"Legal Intervention","45 to 49","Arizona","White","--","341,505","--"
-"Legal Intervention","45 to 49","Arizona","Black","--","24,017","--"
-"Legal Intervention","45 to 49","Arkansas","White","--","140,195","--"
-"Legal Intervention","45 to 49","Arkansas","Black","--","26,568","--"
-"Legal Intervention","45 to 49","California","White","--","1,126,310","--"
-"Legal Intervention","45 to 49","California","Black","--","97,851","--"
-"Legal Intervention","45 to 49","Colorado","White","--","306,377","--"
-"Legal Intervention","45 to 49","Colorado","Black","--","16,599","--"
-"Legal Intervention","45 to 49","Connecticut","White","--","161,801","--"
-"Legal Intervention","45 to 49","Connecticut","Black","--","28,866","--"
-"Legal Intervention","45 to 49","Delaware","White","--","35,667","--"
-"Legal Intervention","45 to 49","Delaware","Black","--","13,675","--"
-"Legal Intervention","45 to 49","District of Columbia","White","--","17,467","--"
-"Legal Intervention","45 to 49","District of Columbia","Black","--","15,755","--"
-"Legal Intervention","45 to 49","Florida","White","--","725,702","--"
-"Legal Intervention","45 to 49","Florida","Black","--","167,035","--"
-"Legal Intervention","45 to 49","Georgia","White","--","397,207","--"
-"Legal Intervention","45 to 49","Georgia","Black","--","224,111","--"
-"Legal Intervention","45 to 49","Hawaii","White","--","20,011","--"
-"Legal Intervention","45 to 49","Hawaii","Black","--","1,725","--"
-"Legal Intervention","45 to 49","Idaho","White","--","102,986","--"
-"Legal Intervention","45 to 49","Idaho","Black","--","909","--"
-"Legal Intervention","45 to 49","Illinois","White","--","580,246","--"
-"Legal Intervention","45 to 49","Illinois","Black","--","106,348","--"
-"Legal Intervention","45 to 49","Indiana","White","--","336,070","--"
-"Legal Intervention","45 to 49","Indiana","Black","--","40,054","--"
-"Legal Intervention","45 to 49","Iowa","White","--","158,770","--"
-"Legal Intervention","45 to 49","Iowa","Black","--","7,406","--"
-"Legal Intervention","45 to 49","Kansas","White","--","140,055","--"
-"Legal Intervention","45 to 49","Kansas","Black","--","10,062","--"
-"Legal Intervention","45 to 49","Kentucky","White","--","236,454","--"
-"Legal Intervention","45 to 49","Kentucky","Black","--","22,033","--"
-"Legal Intervention","45 to 49","Louisiana","White","--","165,238","--"
-"Legal Intervention","45 to 49","Louisiana","Black","--","80,175","--"
-"Legal Intervention","45 to 49","Maine","White","--","73,170","--"
-"Legal Intervention","45 to 49","Maine","Black","--","1,469","--"
-"Legal Intervention","45 to 49","Maryland","White","--","203,756","--"
-"Legal Intervention","45 to 49","Maryland","Black","--","119,111","--"
-"Legal Intervention","45 to 49","Massachusetts","White","--","315,354","--"
-"Legal Intervention","45 to 49","Massachusetts","Black","--","39,510","--"
-"Legal Intervention","45 to 49","Michigan","White","--","442,585","--"
-"Legal Intervention","45 to 49","Michigan","Black","--","81,299","--"
-"Legal Intervention","45 to 49","Minnesota","White","--","266,857","--"
-"Legal Intervention","45 to 49","Minnesota","Black","--","24,278","--"
-"Legal Intervention","45 to 49","Mississippi","White","--","100,857","--"
-"Legal Intervention","45 to 49","Mississippi","Black","--","64,611","--"
-"Legal Intervention","45 to 49","Missouri","White","--","288,437","--"
-"Legal Intervention","45 to 49","Missouri","Black","--","39,558","--"
-"Legal Intervention","45 to 49","Montana","White","--","55,056","--"
-"Legal Intervention","45 to 49","Montana","Black","--","351","--"
-"Legal Intervention","45 to 49","Nebraska","White","--","96,335","--"
-"Legal Intervention","45 to 49","Nebraska","Black","--","5,653","--"
-"Legal Intervention","45 to 49","Nevada","White","--","140,638","--"
-"Legal Intervention","45 to 49","Nevada","Black","--","19,679","--"
-"Legal Intervention","45 to 49","New Hampshire","White","--","71,477","--"
-"Legal Intervention","45 to 49","New Hampshire","Black","--","1,994","--"
-"Legal Intervention","45 to 49","New Jersey","White","--","391,916","--"
-"Legal Intervention","45 to 49","New Jersey","Black","--","89,125","--"
-"Legal Intervention","45 to 49","New Mexico","White","--","94,307","--"
-"Legal Intervention","45 to 49","New Mexico","Black","--","3,320","--"
-"Legal Intervention","45 to 49","New York","White","--","768,635","--"
-"Legal Intervention","45 to 49","New York","Black","--","206,239","--"
-"Legal Intervention","45 to 49","North Carolina","White","--","452,835","--"
-"Legal Intervention","45 to 49","North Carolina","Black","--","141,431","--"
-"Legal Intervention","45 to 49","North Dakota","White","--","34,233","--"
-"Legal Intervention","45 to 49","North Dakota","Black","--","1,345","--"
-"Legal Intervention","45 to 49","Ohio","White","--","546,108","--"
-"Legal Intervention","45 to 49","Ohio","Black","--","84,086","--"
-"Legal Intervention","45 to 49","Oklahoma","White","--","170,901","--"
-"Legal Intervention","45 to 49","Oklahoma","Black","--","17,298","--"
-"Legal Intervention","45 to 49","Oregon","White","--","222,212","--"
-"Legal Intervention","45 to 49","Oregon","Black","--","6,117","--"
-"Legal Intervention","45 to 49","Pennsylvania","White","--","584,822","--"
-"Legal Intervention","45 to 49","Pennsylvania","Black","--","84,961","--"
-"Legal Intervention","45 to 49","Rhode Island","White","--","50,181","--"
-"Legal Intervention","45 to 49","Rhode Island","Black","--","5,682","--"
-"Legal Intervention","45 to 49","South Carolina","White","--","211,211","--"
-"Legal Intervention","45 to 49","South Carolina","Black","--","78,354","--"
-"Legal Intervention","45 to 49","South Dakota","White","--","41,160","--"
-"Legal Intervention","45 to 49","South Dakota","Black","--","1,125","--"
-"Legal Intervention","45 to 49","Tennessee","White","--","331,755","--"
-"Legal Intervention","45 to 49","Tennessee","Black","--","67,405","--"
-"Legal Intervention","45 to 49","Texas","White","--","874,019","--"
-"Legal Intervention","45 to 49","Texas","Black","--","187,580","--"
-"Legal Intervention","45 to 49","Utah","White","--","181,177","--"
-"Legal Intervention","45 to 49","Utah","Black","--","2,714","--"
-"Legal Intervention","45 to 49","Vermont","White","--","33,622","--"
-"Legal Intervention","45 to 49","Vermont","Black","--","557","--"
-"Legal Intervention","45 to 49","Virginia","White","--","354,190","--"
-"Legal Intervention","45 to 49","Virginia","Black","--","100,195","--"
-"Legal Intervention","45 to 49","Washington","White","--","352,332","--"
-"Legal Intervention","45 to 49","Washington","Black","--","21,870","--"
-"Legal Intervention","45 to 49","West Virginia","White","--","100,664","--"
-"Legal Intervention","45 to 49","West Virginia","Black","--","3,771","--"
-"Legal Intervention","45 to 49","Wisconsin","White","--","289,875","--"
-"Legal Intervention","45 to 49","Wisconsin","Black","--","20,518","--"
-"Legal Intervention","45 to 49","Wyoming","White","--","30,461","--"
-"Legal Intervention","45 to 49","Wyoming","Black","--","385","--"
-"Legal Intervention","50 to 54","Alabama","White","--","230,160","--"
-"Legal Intervention","50 to 54","Alabama","Black","--","79,545","--"
-"Legal Intervention","50 to 54","Alaska","White","--","29,697","--"
-"Legal Intervention","50 to 54","Alaska","Black","--","1,458","--"
-"Legal Intervention","50 to 54","Arizona","White","--","362,586","--"
-"Legal Intervention","50 to 54","Arizona","Black","--","22,930","--"
-"Legal Intervention","50 to 54","Arkansas","White","--","149,736","--"
-"Legal Intervention","50 to 54","Arkansas","Black","--","25,758","--"
-"Legal Intervention","50 to 54","California","White","--","1,196,778","--"
-"Legal Intervention","50 to 54","California","Black","--","104,593","--"
-"Legal Intervention","50 to 54","Colorado","White","--","313,108","--"
-"Legal Intervention","50 to 54","Colorado","Black","--","15,986","--"
-"Legal Intervention","50 to 54","Connecticut","White","--","193,941","--"
-"Legal Intervention","50 to 54","Connecticut","Black","--","29,910","--"
-"Legal Intervention","50 to 54","Delaware","White","--","42,249","--"
-"Legal Intervention","50 to 54","Delaware","Black","--","15,385","--"
-"Legal Intervention","50 to 54","District of Columbia","White","--","15,556","--"
-"Legal Intervention","50 to 54","District of Columbia","Black","--","16,853","--"
-"Legal Intervention","50 to 54","Florida","White","--","797,159","--"
-"Legal Intervention","50 to 54","Florida","Black","--","163,423","--"
-"Legal Intervention","50 to 54","Georgia","White","--","440,630","--"
-"Legal Intervention","50 to 54","Georgia","Black","--","228,504","--"
-"Legal Intervention","50 to 54","Hawaii","White","--","20,450","--"
-"Legal Intervention","50 to 54","Hawaii","Black","--","1,610","--"
-"Legal Intervention","50 to 54","Idaho","White","--","102,571","--"
-"Legal Intervention","50 to 54","Idaho","Black","--","811","--"
-"Legal Intervention","50 to 54","Illinois","White","--","618,434","--"
-"Legal Intervention","50 to 54","Illinois","Black","--","112,423","--"
-"Legal Intervention","50 to 54","Indiana","White","--","363,088","--"
-"Legal Intervention","50 to 54","Indiana","Black","--","39,279","--"
-"Legal Intervention","50 to 54","Iowa","White","--","170,256","--"
-"Legal Intervention","50 to 54","Iowa","Black","--","6,451","--"
-"Legal Intervention","50 to 54","Kansas","White","--","145,023","--"
-"Legal Intervention","50 to 54","Kansas","Black","--","9,442","--"
-"Legal Intervention","50 to 54","Kentucky","White","--","255,821","--"
-"Legal Intervention","50 to 54","Kentucky","Black","--","22,112","--"
-"Legal Intervention","50 to 54","Louisiana","White","--","178,722","--"
-"Legal Intervention","50 to 54","Louisiana","Black","--","79,954","--"
-"Legal Intervention","50 to 54","Maine","White","--","86,303","--"
-"Legal Intervention","50 to 54","Maine","Black","--","1,313","--"
-"Legal Intervention","50 to 54","Maryland","White","--","230,643","--"
-"Legal Intervention","50 to 54","Maryland","Black","--","132,217","--"
-"Legal Intervention","50 to 54","Massachusetts","White","--","370,307","--"
-"Legal Intervention","50 to 54","Massachusetts","Black","--","38,906","--"
-"Legal Intervention","50 to 54","Michigan","White","--","511,545","--"
-"Legal Intervention","50 to 54","Michigan","Black","--","88,964","--"
-"Legal Intervention","50 to 54","Minnesota","White","--","293,405","--"
-"Legal Intervention","50 to 54","Minnesota","Black","--","21,647","--"
-"Legal Intervention","50 to 54","Mississippi","White","--","111,490","--"
-"Legal Intervention","50 to 54","Mississippi","Black","--","64,850","--"
-"Legal Intervention","50 to 54","Missouri","White","--","312,767","--"
-"Legal Intervention","50 to 54","Missouri","Black","--","40,921","--"
-"Legal Intervention","50 to 54","Montana","White","--","56,998","--"
-"Legal Intervention","50 to 54","Montana","Black","--","302","--"
-"Legal Intervention","50 to 54","Nebraska","White","--","98,455","--"
-"Legal Intervention","50 to 54","Nebraska","Black","--","5,237","--"
-"Legal Intervention","50 to 54","Nevada","White","--","152,480","--"
-"Legal Intervention","50 to 54","Nevada","Black","--","19,693","--"
-"Legal Intervention","50 to 54","New Hampshire","White","--","88,442","--"
-"Legal Intervention","50 to 54","New Hampshire","Black","--","1,787","--"
-"Legal Intervention","50 to 54","New Jersey","White","--","445,025","--"
-"Legal Intervention","50 to 54","New Jersey","Black","--","94,105","--"
-"Legal Intervention","50 to 54","New Mexico","White","--","98,596","--"
-"Legal Intervention","50 to 54","New Mexico","Black","--","2,885","--"
-"Legal Intervention","50 to 54","New York","White","--","875,135","--"
-"Legal Intervention","50 to 54","New York","Black","--","220,216","--"
-"Legal Intervention","50 to 54","North Carolina","White","--","509,044","--"
-"Legal Intervention","50 to 54","North Carolina","Black","--","149,036","--"
-"Legal Intervention","50 to 54","North Dakota","White","--","35,160","--"
-"Legal Intervention","50 to 54","North Dakota","Black","--","1,031","--"
-"Legal Intervention","50 to 54","Ohio","White","--","617,117","--"
-"Legal Intervention","50 to 54","Ohio","Black","--","89,785","--"
-"Legal Intervention","50 to 54","Oklahoma","White","--","178,052","--"
-"Legal Intervention","50 to 54","Oklahoma","Black","--","16,942","--"
-"Legal Intervention","50 to 54","Oregon","White","--","227,838","--"
-"Legal Intervention","50 to 54","Oregon","Black","--","5,577","--"
-"Legal Intervention","50 to 54","Pennsylvania","White","--","678,924","--"
-"Legal Intervention","50 to 54","Pennsylvania","Black","--","90,890","--"
-"Legal Intervention","50 to 54","Rhode Island","White","--","59,898","--"
-"Legal Intervention","50 to 54","Rhode Island","Black","--","5,724","--"
-"Legal Intervention","50 to 54","South Carolina","White","--","236,806","--"
-"Legal Intervention","50 to 54","South Carolina","Black","--","81,913","--"
-"Legal Intervention","50 to 54","South Dakota","White","--","42,947","--"
-"Legal Intervention","50 to 54","South Dakota","Black","--","946","--"
-"Legal Intervention","50 to 54","Tennessee","White","--","367,389","--"
-"Legal Intervention","50 to 54","Tennessee","Black","--","69,961","--"
-"Legal Intervention","50 to 54","Texas","White","--","862,888","--"
-"Legal Intervention","50 to 54","Texas","Black","--","180,409","--"
-"Legal Intervention","50 to 54","Utah","White","--","157,258","--"
-"Legal Intervention","50 to 54","Utah","Black","--","2,519","--"
-"Legal Intervention","50 to 54","Vermont","White","--","38,919","--"
-"Legal Intervention","50 to 54","Vermont","Black","--","540","--"
-"Legal Intervention","50 to 54","Virginia","White","--","388,625","--"
-"Legal Intervention","50 to 54","Virginia","Black","--","106,634","--"
-"Legal Intervention","50 to 54","Washington","White","--","377,009","--"
-"Legal Intervention","50 to 54","Washington","Black","--","20,901","--"
-"Legal Intervention","50 to 54","West Virginia","White","--","109,466","--"
-"Legal Intervention","50 to 54","West Virginia","Black","--","3,809","--"
-"Legal Intervention","50 to 54","Wisconsin","White","--","323,134","--"
-"Legal Intervention","50 to 54","Wisconsin","Black","--","20,808","--"
-"Legal Intervention","50 to 54","Wyoming","White","--","30,535","--"
-"Legal Intervention","50 to 54","Wyoming","Black","--","329","--"
-"Legal Intervention","55 to 59","Alabama","White","--","234,725","--"
-"Legal Intervention","55 to 59","Alabama","Black","--","80,890","--"
-"Legal Intervention","55 to 59","Alaska","White","--","30,238","--"
-"Legal Intervention","55 to 59","Alaska","Black","--","1,302","--"
-"Legal Intervention","55 to 59","Arizona","White","--","365,531","--"
-"Legal Intervention","55 to 59","Arizona","Black","--","20,578","--"
-"Legal Intervention","55 to 59","Arkansas","White","--","153,296","--"
-"Legal Intervention","55 to 59","Arkansas","Black","--","26,321","--"
-"Legal Intervention","55 to 59","California","White","--","1,171,798","--"
-"Legal Intervention","55 to 59","California","Black","--","106,400","--"
-"Legal Intervention","55 to 59","Colorado","White","--","298,759","--"
-"Legal Intervention","55 to 59","Colorado","Black","--","14,192","--"
-"Legal Intervention","55 to 59","Connecticut","White","--","215,797","--"
-"Legal Intervention","55 to 59","Connecticut","Black","--","29,326","--"
-"Legal Intervention","55 to 59","Delaware","White","--","49,603","--"
-"Legal Intervention","55 to 59","Delaware","Black","--","15,814","--"
-"Legal Intervention","55 to 59","District of Columbia","White","--","13,226","--"
-"Legal Intervention","55 to 59","District of Columbia","Black","--","17,696","--"
-"Legal Intervention","55 to 59","Florida","White","--","840,402","--"
-"Legal Intervention","55 to 59","Florida","Black","--","160,333","--"
-"Legal Intervention","55 to 59","Georgia","White","--","429,177","--"
-"Legal Intervention","55 to 59","Georgia","Black","--","221,167","--"
-"Legal Intervention","55 to 59","Hawaii","White","--","21,573","--"
-"Legal Intervention","55 to 59","Hawaii","Black","--","1,405","--"
-"Legal Intervention","55 to 59","Idaho","White","--","102,715","--"
-"Legal Intervention","55 to 59","Idaho","Black","--","716","--"
-"Legal Intervention","55 to 59","Illinois","White","--","634,131","--"
-"Legal Intervention","55 to 59","Illinois","Black","--","109,938","--"
-"Legal Intervention","55 to 59","Indiana","White","--","373,185","--"
-"Legal Intervention","55 to 59","Indiana","Black","--","36,342","--"
-"Legal Intervention","55 to 59","Iowa","White","--","181,684","--"
-"Legal Intervention","55 to 59","Iowa","Black","--","5,338","--"
-"Legal Intervention","55 to 59","Kansas","White","--","152,533","--"
-"Legal Intervention","55 to 59","Kansas","Black","--","9,457","--"
-"Legal Intervention","55 to 59","Kentucky","White","--","263,286","--"
-"Legal Intervention","55 to 59","Kentucky","Black","--","21,934","--"
-"Legal Intervention","55 to 59","Louisiana","White","--","188,289","--"
-"Legal Intervention","55 to 59","Louisiana","Black","--","85,950","--"
-"Legal Intervention","55 to 59","Maine","White","--","96,539","--"
-"Legal Intervention","55 to 59","Maine","Black","--","1,167","--"
-"Legal Intervention","55 to 59","Maryland","White","--","249,981","--"
-"Legal Intervention","55 to 59","Maryland","Black","--","134,593","--"
-"Legal Intervention","55 to 59","Massachusetts","White","--","405,391","--"
-"Legal Intervention","55 to 59","Massachusetts","Black","--","37,882","--"
-"Legal Intervention","55 to 59","Michigan","White","--","552,060","--"
-"Legal Intervention","55 to 59","Michigan","Black","--","81,712","--"
-"Legal Intervention","55 to 59","Minnesota","White","--","321,151","--"
-"Legal Intervention","55 to 59","Minnesota","Black","--","18,201","--"
-"Legal Intervention","55 to 59","Mississippi","White","--","113,579","--"
-"Legal Intervention","55 to 59","Mississippi","Black","--","65,346","--"
-"Legal Intervention","55 to 59","Missouri","White","--","332,936","--"
-"Legal Intervention","55 to 59","Missouri","Black","--","41,140","--"
-"Legal Intervention","55 to 59","Montana","White","--","61,258","--"
-"Legal Intervention","55 to 59","Montana","Black","--","288","--"
-"Legal Intervention","55 to 59","Nebraska","White","--","103,089","--"
-"Legal Intervention","55 to 59","Nebraska","Black","--","4,975","--"
-"Legal Intervention","55 to 59","Nevada","White","--","149,568","--"
-"Legal Intervention","55 to 59","Nevada","Black","--","18,444","--"
-"Legal Intervention","55 to 59","New Hampshire","White","--","99,991","--"
-"Legal Intervention","55 to 59","New Hampshire","Black","--","1,627","--"
-"Legal Intervention","55 to 59","New Jersey","White","--","476,056","--"
-"Legal Intervention","55 to 59","New Jersey","Black","--","92,532","--"
-"Legal Intervention","55 to 59","New Mexico","White","--","104,282","--"
-"Legal Intervention","55 to 59","New Mexico","Black","--","3,054","--"
-"Legal Intervention","55 to 59","New York","White","--","933,897","--"
-"Legal Intervention","55 to 59","New York","Black","--","231,500","--"
-"Legal Intervention","55 to 59","North Carolina","White","--","505,897","--"
-"Legal Intervention","55 to 59","North Carolina","Black","--","146,973","--"
-"Legal Intervention","55 to 59","North Dakota","White","--","38,376","--"
-"Legal Intervention","55 to 59","North Dakota","Black","--","866","--"
-"Legal Intervention","55 to 59","Ohio","White","--","643,289","--"
-"Legal Intervention","55 to 59","Ohio","Black","--","85,533","--"
-"Legal Intervention","55 to 59","Oklahoma","White","--","181,020","--"
-"Legal Intervention","55 to 59","Oklahoma","Black","--","16,816","--"
-"Legal Intervention","55 to 59","Oregon","White","--","220,261","--"
-"Legal Intervention","55 to 59","Oregon","Black","--","5,098","--"
-"Legal Intervention","55 to 59","Pennsylvania","White","--","735,977","--"
-"Legal Intervention","55 to 59","Pennsylvania","Black","--","89,822","--"
-"Legal Intervention","55 to 59","Rhode Island","White","--","66,740","--"
-"Legal Intervention","55 to 59","Rhode Island","Black","--","5,330","--"
-"Legal Intervention","55 to 59","South Carolina","White","--","246,648","--"
-"Legal Intervention","55 to 59","South Carolina","Black","--","86,342","--"
-"Legal Intervention","55 to 59","South Dakota","White","--","48,595","--"
-"Legal Intervention","55 to 59","South Dakota","Black","--","745","--"
-"Legal Intervention","55 to 59","Tennessee","White","--","372,016","--"
-"Legal Intervention","55 to 59","Tennessee","Black","--","68,806","--"
-"Legal Intervention","55 to 59","Texas","White","--","786,434","--"
-"Legal Intervention","55 to 59","Texas","Black","--","164,585","--"
-"Legal Intervention","55 to 59","Utah","White","--","140,905","--"
-"Legal Intervention","55 to 59","Utah","Black","--","1,954","--"
-"Legal Intervention","55 to 59","Vermont","White","--","42,825","--"
-"Legal Intervention","55 to 59","Vermont","Black","--","445","--"
-"Legal Intervention","55 to 59","Virginia","White","--","400,334","--"
-"Legal Intervention","55 to 59","Virginia","Black","--","112,976","--"
-"Legal Intervention","55 to 59","Washington","White","--","376,019","--"
-"Legal Intervention","55 to 59","Washington","Black","--","18,937","--"
-"Legal Intervention","55 to 59","West Virginia","White","--","111,312","--"
-"Legal Intervention","55 to 59","West Virginia","Black","--","3,790","--"
-"Legal Intervention","55 to 59","Wisconsin","White","--","362,313","--"
-"Legal Intervention","55 to 59","Wisconsin","Black","--","18,804","--"
-"Legal Intervention","55 to 59","Wyoming","White","--","31,656","--"
-"Legal Intervention","55 to 59","Wyoming","Black","--","301","--"
-"Legal Intervention","60 to 64","Alabama","White","--","241,376","--"
-"Legal Intervention","60 to 64","Alabama","Black","--","81,363","--"
-"Legal Intervention","60 to 64","Alaska","White","--","32,498","--"
-"Legal Intervention","60 to 64","Alaska","Black","--","1,338","--"
-"Legal Intervention","60 to 64","Arizona","White","--","387,349","--"
-"Legal Intervention","60 to 64","Arizona","Black","--","19,164","--"
-"Legal Intervention","60 to 64","Arkansas","White","--","158,173","--"
-"Legal Intervention","60 to 64","Arkansas","Black","--","26,649","--"
-"Legal Intervention","60 to 64","California","White","--","1,134,448","--"
-"Legal Intervention","60 to 64","California","Black","--","102,740","--"
-"Legal Intervention","60 to 64","Colorado","White","--","315,328","--"
-"Legal Intervention","60 to 64","Colorado","Black","--","13,476","--"
-"Legal Intervention","60 to 64","Connecticut","White","--","218,014","--"
-"Legal Intervention","60 to 64","Connecticut","Black","--","25,283","--"
-"Legal Intervention","60 to 64","Delaware","White","--","56,054","--"
-"Legal Intervention","60 to 64","Delaware","Black","--","14,945","--"
-"Legal Intervention","60 to 64","District of Columbia","White","--","11,217","--"
-"Legal Intervention","60 to 64","District of Columbia","Black","--","18,328","--"
-"Legal Intervention","60 to 64","Florida","White","--","844,101","--"
-"Legal Intervention","60 to 64","Florida","Black","--","150,101","--"
-"Legal Intervention","60 to 64","Georgia","White","--","415,081","--"
-"Legal Intervention","60 to 64","Georgia","Black","--","197,242","--"
-"Legal Intervention","60 to 64","Hawaii","White","--","24,618","--"
-"Legal Intervention","60 to 64","Hawaii","Black","--","1,270","--"
-"Legal Intervention","60 to 64","Idaho","White","--","111,543","--"
-"Legal Intervention","60 to 64","Idaho","Black","--","719","--"
-"Legal Intervention","60 to 64","Illinois","White","--","649,592","--"
-"Legal Intervention","60 to 64","Illinois","Black","--","109,112","--"
-"Legal Intervention","60 to 64","Indiana","White","--","385,796","--"
-"Legal Intervention","60 to 64","Indiana","Black","--","35,576","--"
-"Legal Intervention","60 to 64","Iowa","White","--","198,641","--"
-"Legal Intervention","60 to 64","Iowa","Black","--","4,671","--"
-"Legal Intervention","60 to 64","Kansas","White","--","166,056","--"
-"Legal Intervention","60 to 64","Kansas","Black","--","9,750","--"
-"Legal Intervention","60 to 64","Kentucky","White","--","266,410","--"
-"Legal Intervention","60 to 64","Kentucky","Black","--","22,036","--"
-"Legal Intervention","60 to 64","Louisiana","White","--","198,660","--"
-"Legal Intervention","60 to 64","Louisiana","Black","--","86,017","--"
-"Legal Intervention","60 to 64","Maine","White","--","105,788","--"
-"Legal Intervention","60 to 64","Maine","Black","--","852","--"
-"Legal Intervention","60 to 64","Maryland","White","--","249,697","--"
-"Legal Intervention","60 to 64","Maryland","Black","--","123,509","--"
-"Legal Intervention","60 to 64","Massachusetts","White","--","407,859","--"
-"Legal Intervention","60 to 64","Massachusetts","Black","--","33,266","--"
-"Legal Intervention","60 to 64","Michigan","White","--","587,417","--"
-"Legal Intervention","60 to 64","Michigan","Black","--","78,376","--"
-"Legal Intervention","60 to 64","Minnesota","White","--","347,478","--"
-"Legal Intervention","60 to 64","Minnesota","Black","--","15,058","--"
-"Legal Intervention","60 to 64","Mississippi","White","--","119,015","--"
-"Legal Intervention","60 to 64","Mississippi","Black","--","64,828","--"
-"Legal Intervention","60 to 64","Missouri","White","--","359,552","--"
-"Legal Intervention","60 to 64","Missouri","Black","--","41,032","--"
-"Legal Intervention","60 to 64","Montana","White","--","72,487","--"
-"Legal Intervention","60 to 64","Montana","Black","--","245","--"
-"Legal Intervention","60 to 64","Nebraska","White","--","112,842","--"
-"Legal Intervention","60 to 64","Nebraska","Black","--","4,681","--"
-"Legal Intervention","60 to 64","Nevada","White","--","149,147","--"
-"Legal Intervention","60 to 64","Nevada","Black","--","17,074","--"
-"Legal Intervention","60 to 64","New Hampshire","White","--","106,655","--"
-"Legal Intervention","60 to 64","New Hampshire","Black","--","1,161","--"
-"Legal Intervention","60 to 64","New Jersey","White","--","473,725","--"
-"Legal Intervention","60 to 64","New Jersey","Black","--","82,933","--"
-"Legal Intervention","60 to 64","New Mexico","White","--","117,136","--"
-"Legal Intervention","60 to 64","New Mexico","Black","--","3,077","--"
-"Legal Intervention","60 to 64","New York","White","--","942,358","--"
-"Legal Intervention","60 to 64","New York","Black","--","216,089","--"
-"Legal Intervention","60 to 64","North Carolina","White","--","511,117","--"
-"Legal Intervention","60 to 64","North Carolina","Black","--","139,348","--"
-"Legal Intervention","60 to 64","North Dakota","White","--","44,024","--"
-"Legal Intervention","60 to 64","North Dakota","Black","--","675","--"
-"Legal Intervention","60 to 64","Ohio","White","--","682,459","--"
-"Legal Intervention","60 to 64","Ohio","Black","--","87,564","--"
-"Legal Intervention","60 to 64","Oklahoma","White","--","195,839","--"
-"Legal Intervention","60 to 64","Oklahoma","Black","--","16,866","--"
-"Legal Intervention","60 to 64","Oregon","White","--","239,234","--"
-"Legal Intervention","60 to 64","Oregon","Black","--","4,587","--"
-"Legal Intervention","60 to 64","Pennsylvania","White","--","783,215","--"
-"Legal Intervention","60 to 64","Pennsylvania","Black","--","84,574","--"
-"Legal Intervention","60 to 64","Rhode Island","White","--","68,095","--"
-"Legal Intervention","60 to 64","Rhode Island","Black","--","4,791","--"
-"Legal Intervention","60 to 64","South Carolina","White","--","258,055","--"
-"Legal Intervention","60 to 64","South Carolina","Black","--","84,546","--"
-"Legal Intervention","60 to 64","South Dakota","White","--","56,329","--"
-"Legal Intervention","60 to 64","South Dakota","Black","--","648","--"
-"Legal Intervention","60 to 64","Tennessee","White","--","372,170","--"
-"Legal Intervention","60 to 64","Tennessee","Black","--","66,600","--"
-"Legal Intervention","60 to 64","Texas","White","--","743,019","--"
-"Legal Intervention","60 to 64","Texas","Black","--","149,980","--"
-"Legal Intervention","60 to 64","Utah","White","--","144,353","--"
-"Legal Intervention","60 to 64","Utah","Black","--","1,761","--"
-"Legal Intervention","60 to 64","Vermont","White","--","47,554","--"
-"Legal Intervention","60 to 64","Vermont","Black","--","353","--"
-"Legal Intervention","60 to 64","Virginia","White","--","398,877","--"
-"Legal Intervention","60 to 64","Virginia","Black","--","107,601","--"
-"Legal Intervention","60 to 64","Washington","White","--","398,179","--"
-"Legal Intervention","60 to 64","Washington","Black","--","17,278","--"
-"Legal Intervention","60 to 64","West Virginia","White","--","117,020","--"
-"Legal Intervention","60 to 64","West Virginia","Black","--","3,943","--"
-"Legal Intervention","60 to 64","Wisconsin","White","--","387,352","--"
-"Legal Intervention","60 to 64","Wisconsin","Black","--","17,434","--"
-"Legal Intervention","60 to 64","Wyoming","White","--","37,645","--"
-"Legal Intervention","60 to 64","Wyoming","Black","--","373","--"
-"Legal Intervention","65 to 69","Alabama","White","--","218,808","--"
-"Legal Intervention","65 to 69","Alabama","Black","--","70,663","--"
-"Legal Intervention","65 to 69","Alaska","White","--","29,323","--"
-"Legal Intervention","65 to 69","Alaska","Black","--","1,013","--"
-"Legal Intervention","65 to 69","Arizona","White","--","368,867","--"
-"Legal Intervention","65 to 69","Arizona","Black","--","14,885","--"
-"Legal Intervention","65 to 69","Arkansas","White","--","143,209","--"
-"Legal Intervention","65 to 69","Arkansas","Black","--","23,363","--"
-"Legal Intervention","65 to 69","California","White","--","975,884","--"
-"Legal Intervention","65 to 69","California","Black","--","79,665","--"
-"Legal Intervention","65 to 69","Colorado","White","--","284,195","--"
-"Legal Intervention","65 to 69","Colorado","Black","--","10,313","--"
-"Legal Intervention","65 to 69","Connecticut","White","--","185,845","--"
-"Legal Intervention","65 to 69","Connecticut","Black","--","18,418","--"
-"Legal Intervention","65 to 69","Delaware","White","--","55,037","--"
-"Legal Intervention","65 to 69","Delaware","Black","--","12,102","--"
-"Legal Intervention","65 to 69","District of Columbia","White","--","9,872","--"
-"Legal Intervention","65 to 69","District of Columbia","Black","--","16,123","--"
-"Legal Intervention","65 to 69","Florida","White","--","773,721","--"
-"Legal Intervention","65 to 69","Florida","Black","--","124,744","--"
-"Legal Intervention","65 to 69","Georgia","White","--","363,604","--"
-"Legal Intervention","65 to 69","Georgia","Black","--","158,699","--"
-"Legal Intervention","65 to 69","Hawaii","White","--","25,667","--"
-"Legal Intervention","65 to 69","Hawaii","Black","--","884","--"
-"Legal Intervention","65 to 69","Idaho","White","--","104,996","--"
-"Legal Intervention","65 to 69","Idaho","Black","--","553","--"
-"Legal Intervention","65 to 69","Illinois","White","--","568,698","--"
-"Legal Intervention","65 to 69","Illinois","Black","--","89,860","--"
-"Legal Intervention","65 to 69","Indiana","White","--","344,251","--"
-"Legal Intervention","65 to 69","Indiana","Black","--","28,873","--"
-"Legal Intervention","65 to 69","Iowa","White","--","179,713","--"
-"Legal Intervention","65 to 69","Iowa","Black","--","3,176","--"
-"Legal Intervention","65 to 69","Kansas","White","--","150,815","--"
-"Legal Intervention","65 to 69","Kansas","Black","--","7,654","--"
-"Legal Intervention","65 to 69","Kentucky","White","--","239,218","--"
-"Legal Intervention","65 to 69","Kentucky","Black","--","18,050","--"
-"Legal Intervention","65 to 69","Louisiana","White","--","180,005","--"
-"Legal Intervention","65 to 69","Louisiana","Black","--","74,556","--"
-"Legal Intervention","65 to 69","Maine","White","--","98,472","--"
-"Legal Intervention","65 to 69","Maine","Black","--","593","--"
-"Legal Intervention","65 to 69","Maryland","White","--","214,811","--"
-"Legal Intervention","65 to 69","Maryland","Black","--","96,983","--"
-"Legal Intervention","65 to 69","Massachusetts","White","--","355,213","--"
-"Legal Intervention","65 to 69","Massachusetts","Black","--","25,636","--"
-"Legal Intervention","65 to 69","Michigan","White","--","534,220","--"
-"Legal Intervention","65 to 69","Michigan","Black","--","68,318","--"
-"Legal Intervention","65 to 69","Minnesota","White","--","303,105","--"
-"Legal Intervention","65 to 69","Minnesota","Black","--","10,420","--"
-"Legal Intervention","65 to 69","Mississippi","White","--","108,062","--"
-"Legal Intervention","65 to 69","Mississippi","Black","--","56,073","--"
-"Legal Intervention","65 to 69","Missouri","White","--","317,274","--"
-"Legal Intervention","65 to 69","Missouri","Black","--","33,398","--"
-"Legal Intervention","65 to 69","Montana","White","--","70,593","--"
-"Legal Intervention","65 to 69","Montana","Black","--","184","--"
-"Legal Intervention","65 to 69","Nebraska","White","--","101,595","--"
-"Legal Intervention","65 to 69","Nebraska","Black","--","3,354","--"
-"Legal Intervention","65 to 69","Nevada","White","--","136,363","--"
-"Legal Intervention","65 to 69","Nevada","Black","--","13,883","--"
-"Legal Intervention","65 to 69","New Hampshire","White","--","91,513","--"
-"Legal Intervention","65 to 69","New Hampshire","Black","--","783","--"
-"Legal Intervention","65 to 69","New Jersey","White","--","403,400","--"
-"Legal Intervention","65 to 69","New Jersey","Black","--","62,349","--"
-"Legal Intervention","65 to 69","New Mexico","White","--","111,728","--"
-"Legal Intervention","65 to 69","New Mexico","Black","--","2,567","--"
-"Legal Intervention","65 to 69","New York","White","--","828,108","--"
-"Legal Intervention","65 to 69","New York","Black","--","170,532","--"
-"Legal Intervention","65 to 69","North Carolina","White","--","462,212","--"
-"Legal Intervention","65 to 69","North Carolina","Black","--","118,849","--"
-"Legal Intervention","65 to 69","North Dakota","White","--","40,236","--"
-"Legal Intervention","65 to 69","North Dakota","Black","--","361","--"
-"Legal Intervention","65 to 69","Ohio","White","--","618,913","--"
-"Legal Intervention","65 to 69","Ohio","Black","--","72,436","--"
-"Legal Intervention","65 to 69","Oklahoma","White","--","176,678","--"
-"Legal Intervention","65 to 69","Oklahoma","Black","--","13,784","--"
-"Legal Intervention","65 to 69","Oregon","White","--","239,323","--"
-"Legal Intervention","65 to 69","Oregon","Black","--","3,645","--"
-"Legal Intervention","65 to 69","Pennsylvania","White","--","717,464","--"
-"Legal Intervention","65 to 69","Pennsylvania","Black","--","68,715","--"
-"Legal Intervention","65 to 69","Rhode Island","White","--","60,525","--"
-"Legal Intervention","65 to 69","Rhode Island","Black","--","3,829","--"
-"Legal Intervention","65 to 69","South Carolina","White","--","244,813","--"
-"Legal Intervention","65 to 69","South Carolina","Black","--","74,236","--"
-"Legal Intervention","65 to 69","South Dakota","White","--","52,939","--"
-"Legal Intervention","65 to 69","South Dakota","Black","--","425","--"
-"Legal Intervention","65 to 69","Tennessee","White","--","335,602","--"
-"Legal Intervention","65 to 69","Tennessee","Black","--","56,286","--"
-"Legal Intervention","65 to 69","Texas","White","--","612,306","--"
-"Legal Intervention","65 to 69","Texas","Black","--","116,514","--"
-"Legal Intervention","65 to 69","Utah","White","--","129,446","--"
-"Legal Intervention","65 to 69","Utah","Black","--","1,154","--"
-"Legal Intervention","65 to 69","Vermont","White","--","44,142","--"
-"Legal Intervention","65 to 69","Vermont","Black","--","308","--"
-"Legal Intervention","65 to 69","Virginia","White","--","349,570","--"
-"Legal Intervention","65 to 69","Virginia","Black","--","88,125","--"
-"Legal Intervention","65 to 69","Washington","White","--","369,741","--"
-"Legal Intervention","65 to 69","Washington","Black","--","13,133","--"
-"Legal Intervention","65 to 69","West Virginia","White","--","112,800","--"
-"Legal Intervention","65 to 69","West Virginia","Black","--","3,724","--"
-"Legal Intervention","65 to 69","Wisconsin","White","--","343,002","--"
-"Legal Intervention","65 to 69","Wisconsin","Black","--","13,511","--"
-"Legal Intervention","65 to 69","Wyoming","White","--","36,161","--"
-"Legal Intervention","65 to 69","Wyoming","Black","--","330","--"
-"Legal Intervention","70 to 74","Alabama","White","--","184,518","--"
-"Legal Intervention","70 to 74","Alabama","Black","--","52,309","--"
-"Legal Intervention","70 to 74","Alaska","White","--","21,908","--"
-"Legal Intervention","70 to 74","Alaska","Black","--","641","--"
-"Legal Intervention","70 to 74","Arizona","White","--","331,009","--"
-"Legal Intervention","70 to 74","Arizona","Black","--","10,831","--"
-"Legal Intervention","70 to 74","Arkansas","White","--","121,280","--"
-"Legal Intervention","70 to 74","Arkansas","Black","--","16,676","--"
-"Legal Intervention","70 to 74","California","White","--","789,014","--"
-"Legal Intervention","70 to 74","California","Black","--","58,171","--"
-"Legal Intervention","70 to 74","Colorado","White","--","231,377","--"
-"Legal Intervention","70 to 74","Colorado","Black","--","7,034","--"
-"Legal Intervention","70 to 74","Connecticut","White","--","146,054","--"
-"Legal Intervention","70 to 74","Connecticut","Black","--","13,070","--"
-"Legal Intervention","70 to 74","Delaware","White","--","46,181","--"
-"Legal Intervention","70 to 74","Delaware","Black","--","8,863","--"
-"Legal Intervention","70 to 74","District of Columbia","White","--","9,281","--"
-"Legal Intervention","70 to 74","District of Columbia","Black","--","12,135","--"
-"Legal Intervention","70 to 74","Florida","White","--","694,340","--"
-"Legal Intervention","70 to 74","Florida","Black","--","92,155","--"
-"Legal Intervention","70 to 74","Georgia","White","--","306,108","--"
-"Legal Intervention","70 to 74","Georgia","Black","--","117,118","--"
-"Legal Intervention","70 to 74","Hawaii","White","--","24,474","--"
-"Legal Intervention","70 to 74","Hawaii","Black","--","681","--"
-"Legal Intervention","70 to 74","Idaho","White","--","86,122","--"
-"Legal Intervention","70 to 74","Idaho","Black","--","295","--"
-"Legal Intervention","70 to 74","Illinois","White","--","455,473","--"
-"Legal Intervention","70 to 74","Illinois","Black","--","67,639","--"
-"Legal Intervention","70 to 74","Indiana","White","--","276,868","--"
-"Legal Intervention","70 to 74","Indiana","Black","--","20,494","--"
-"Legal Intervention","70 to 74","Iowa","White","--","146,058","--"
-"Legal Intervention","70 to 74","Iowa","Black","--","2,143","--"
-"Legal Intervention","70 to 74","Kansas","White","--","120,373","--"
-"Legal Intervention","70 to 74","Kansas","Black","--","5,347","--"
-"Legal Intervention","70 to 74","Kentucky","White","--","197,198","--"
-"Legal Intervention","70 to 74","Kentucky","Black","--","13,068","--"
-"Legal Intervention","70 to 74","Louisiana","White","--","147,133","--"
-"Legal Intervention","70 to 74","Louisiana","Black","--","54,927","--"
-"Legal Intervention","70 to 74","Maine","White","--","81,896","--"
-"Legal Intervention","70 to 74","Maine","Black","--","364","--"
-"Legal Intervention","70 to 74","Maryland","White","--","175,371","--"
-"Legal Intervention","70 to 74","Maryland","Black","--","75,287","--"
-"Legal Intervention","70 to 74","Massachusetts","White","--","290,138","--"
-"Legal Intervention","70 to 74","Massachusetts","Black","--","18,157","--"
-"Legal Intervention","70 to 74","Michigan","White","--","430,369","--"
-"Legal Intervention","70 to 74","Michigan","Black","--","52,772","--"
-"Legal Intervention","70 to 74","Minnesota","White","--","242,661","--"
-"Legal Intervention","70 to 74","Minnesota","Black","--","6,722","--"
-"Legal Intervention","70 to 74","Mississippi","White","--","92,150","--"
-"Legal Intervention","70 to 74","Mississippi","Black","--","40,514","--"
-"Legal Intervention","70 to 74","Missouri","White","--","257,208","--"
-"Legal Intervention","70 to 74","Missouri","Black","--","24,097","--"
-"Legal Intervention","70 to 74","Montana","White","--","58,647","--"
-"Legal Intervention","70 to 74","Montana","Black","--","116","--"
-"Legal Intervention","70 to 74","Nebraska","White","--","82,935","--"
-"Legal Intervention","70 to 74","Nebraska","Black","--","2,418","--"
-"Legal Intervention","70 to 74","Nevada","White","--","115,652","--"
-"Legal Intervention","70 to 74","Nevada","Black","--","10,454","--"
-"Legal Intervention","70 to 74","New Hampshire","White","--","72,210","--"
-"Legal Intervention","70 to 74","New Hampshire","Black","--","480","--"
-"Legal Intervention","70 to 74","New Jersey","White","--","322,055","--"
-"Legal Intervention","70 to 74","New Jersey","Black","--","45,472","--"
-"Legal Intervention","70 to 74","New Mexico","White","--","98,360","--"
-"Legal Intervention","70 to 74","New Mexico","Black","--","1,871","--"
-"Legal Intervention","70 to 74","New York","White","--","689,039","--"
-"Legal Intervention","70 to 74","New York","Black","--","127,225","--"
-"Legal Intervention","70 to 74","North Carolina","White","--","391,721","--"
-"Legal Intervention","70 to 74","North Carolina","Black","--","90,717","--"
-"Legal Intervention","70 to 74","North Dakota","White","--","31,127","--"
-"Legal Intervention","70 to 74","North Dakota","Black","--","213","--"
-"Legal Intervention","70 to 74","Ohio","White","--","504,041","--"
-"Legal Intervention","70 to 74","Ohio","Black","--","53,778","--"
-"Legal Intervention","70 to 74","Oklahoma","White","--","143,402","--"
-"Legal Intervention","70 to 74","Oklahoma","Black","--","9,961","--"
-"Legal Intervention","70 to 74","Oregon","White","--","209,195","--"
-"Legal Intervention","70 to 74","Oregon","Black","--","2,584","--"
-"Legal Intervention","70 to 74","Pennsylvania","White","--","583,490","--"
-"Legal Intervention","70 to 74","Pennsylvania","Black","--","50,713","--"
-"Legal Intervention","70 to 74","Rhode Island","White","--","48,526","--"
-"Legal Intervention","70 to 74","Rhode Island","Black","--","2,248","--"
-"Legal Intervention","70 to 74","South Carolina","White","--","213,364","--"
-"Legal Intervention","70 to 74","South Carolina","Black","--","57,654","--"
-"Legal Intervention","70 to 74","South Dakota","White","--","41,186","--"
-"Legal Intervention","70 to 74","South Dakota","Black","--","280","--"
-"Legal Intervention","70 to 74","Tennessee","White","--","278,596","--"
-"Legal Intervention","70 to 74","Tennessee","Black","--","40,238","--"
-"Legal Intervention","70 to 74","Texas","White","--","476,929","--"
-"Legal Intervention","70 to 74","Texas","Black","--","81,702","--"
-"Legal Intervention","70 to 74","Utah","White","--","102,765","--"
-"Legal Intervention","70 to 74","Utah","Black","--","699","--"
-"Legal Intervention","70 to 74","Vermont","White","--","36,848","--"
-"Legal Intervention","70 to 74","Vermont","Black","--","174","--"
-"Legal Intervention","70 to 74","Virginia","White","--","294,063","--"
-"Legal Intervention","70 to 74","Virginia","Black","--","64,958","--"
-"Legal Intervention","70 to 74","Washington","White","--","307,141","--"
-"Legal Intervention","70 to 74","Washington","Black","--","8,601","--"
-"Legal Intervention","70 to 74","West Virginia","White","--","99,669","--"
-"Legal Intervention","70 to 74","West Virginia","Black","--","2,691","--"
-"Legal Intervention","70 to 74","Wisconsin","White","--","275,842","--"
-"Legal Intervention","70 to 74","Wisconsin","Black","--","9,669","--"
-"Legal Intervention","70 to 74","Wyoming","White","--","28,136","--"
-"Legal Intervention","70 to 74","Wyoming","Black","--","238","--"
-"Legal Intervention","75 to 79","Alabama","White","--","140,104","--"
-"Legal Intervention","75 to 79","Alabama","Black","--","30,490","--"
-"Legal Intervention","75 to 79","Alaska","White","--","13,780","--"
-"Legal Intervention","75 to 79","Alaska","Black","--","340","--"
-"Legal Intervention","75 to 79","Arizona","White","--","259,218","--"
-"Legal Intervention","75 to 79","Arizona","Black","--","6,387","--"
-"Legal Intervention","75 to 79","Arkansas","White","--","92,339","--"
-"Legal Intervention","75 to 79","Arkansas","Black","--","9,305","--"
-"Legal Intervention","75 to 79","California","White","--","580,958","--"
-"Legal Intervention","75 to 79","California","Black","--","38,418","--"
-"Legal Intervention","75 to 79","Colorado","White","--","156,941","--"
-"Legal Intervention","75 to 79","Colorado","Black","--","4,030","--"
-"Legal Intervention","75 to 79","Connecticut","White","--","112,387","--"
-"Legal Intervention","75 to 79","Connecticut","Black","--","8,954","--"
-"Legal Intervention","75 to 79","Delaware","White","--","33,500","--"
-"Legal Intervention","75 to 79","Delaware","Black","--","5,742","--"
-"Legal Intervention","75 to 79","District of Columbia","White","--","7,171","--"
-"Legal Intervention","75 to 79","District of Columbia","Black","--","7,913","--"
-"Legal Intervention","75 to 79","Florida","White","--","564,876","--"
-"Legal Intervention","75 to 79","Florida","Black","--","60,346","--"
-"Legal Intervention","75 to 79","Georgia","White","--","230,570","--"
-"Legal Intervention","75 to 79","Georgia","Black","--","69,728","--"
-"Legal Intervention","75 to 79","Hawaii","White","--","17,293","--"
-"Legal Intervention","75 to 79","Hawaii","Black","--","379","--"
-"Legal Intervention","75 to 79","Idaho","White","--","60,752","--"
-"Legal Intervention","75 to 79","Idaho","Black","--","145","--"
-"Legal Intervention","75 to 79","Illinois","White","--","325,487","--"
-"Legal Intervention","75 to 79","Illinois","Black","--","44,504","--"
-"Legal Intervention","75 to 79","Indiana","White","--","194,050","--"
-"Legal Intervention","75 to 79","Indiana","Black","--","12,127","--"
-"Legal Intervention","75 to 79","Iowa","White","--","101,116","--"
-"Legal Intervention","75 to 79","Iowa","Black","--","1,154","--"
-"Legal Intervention","75 to 79","Kansas","White","--","84,520","--"
-"Legal Intervention","75 to 79","Kansas","Black","--","3,233","--"
-"Legal Intervention","75 to 79","Kentucky","White","--","138,272","--"
-"Legal Intervention","75 to 79","Kentucky","Black","--","7,190","--"
-"Legal Intervention","75 to 79","Louisiana","White","--","106,682","--"
-"Legal Intervention","75 to 79","Louisiana","Black","--","33,035","--"
-"Legal Intervention","75 to 79","Maine","White","--","57,614","--"
-"Legal Intervention","75 to 79","Maine","Black","--","197","--"
-"Legal Intervention","75 to 79","Maryland","White","--","133,278","--"
-"Legal Intervention","75 to 79","Maryland","Black","--","47,902","--"
-"Legal Intervention","75 to 79","Massachusetts","White","--","212,427","--"
-"Legal Intervention","75 to 79","Massachusetts","Black","--","11,603","--"
-"Legal Intervention","75 to 79","Michigan","White","--","301,682","--"
-"Legal Intervention","75 to 79","Michigan","Black","--","33,687","--"
-"Legal Intervention","75 to 79","Minnesota","White","--","168,004","--"
-"Legal Intervention","75 to 79","Minnesota","Black","--","3,940","--"
-"Legal Intervention","75 to 79","Mississippi","White","--","69,918","--"
-"Legal Intervention","75 to 79","Mississippi","Black","--","23,187","--"
-"Legal Intervention","75 to 79","Missouri","White","--","186,024","--"
-"Legal Intervention","75 to 79","Missouri","Black","--","15,316","--"
-"Legal Intervention","75 to 79","Montana","White","--","39,301","--"
-"Legal Intervention","75 to 79","Montana","Black","--","48","--"
-"Legal Intervention","75 to 79","Nebraska","White","--","56,549","--"
-"Legal Intervention","75 to 79","Nebraska","Black","--","1,446","--"
-"Legal Intervention","75 to 79","Nevada","White","--","86,617","--"
-"Legal Intervention","75 to 79","Nevada","Black","--","6,666","--"
-"Legal Intervention","75 to 79","New Hampshire","White","--","50,635","--"
-"Legal Intervention","75 to 79","New Hampshire","Black","--","275","--"
-"Legal Intervention","75 to 79","New Jersey","White","--","243,451","--"
-"Legal Intervention","75 to 79","New Jersey","Black","--","31,042","--"
-"Legal Intervention","75 to 79","New Mexico","White","--","70,044","--"
-"Legal Intervention","75 to 79","New Mexico","Black","--","1,103","--"
-"Legal Intervention","75 to 79","New York","White","--","508,617","--"
-"Legal Intervention","75 to 79","New York","Black","--","89,277","--"
-"Legal Intervention","75 to 79","North Carolina","White","--","292,145","--"
-"Legal Intervention","75 to 79","North Carolina","Black","--","55,152","--"
-"Legal Intervention","75 to 79","North Dakota","White","--","21,434","--"
-"Legal Intervention","75 to 79","North Dakota","Black","--","80","--"
-"Legal Intervention","75 to 79","Ohio","White","--","350,654","--"
-"Legal Intervention","75 to 79","Ohio","Black","--","32,868","--"
-"Legal Intervention","75 to 79","Oklahoma","White","--","106,504","--"
-"Legal Intervention","75 to 79","Oklahoma","Black","--","5,905","--"
-"Legal Intervention","75 to 79","Oregon","White","--","147,532","--"
-"Legal Intervention","75 to 79","Oregon","Black","--","1,442","--"
-"Legal Intervention","75 to 79","Pennsylvania","White","--","420,801","--"
-"Legal Intervention","75 to 79","Pennsylvania","Black","--","32,124","--"
-"Legal Intervention","75 to 79","Rhode Island","White","--","35,055","--"
-"Legal Intervention","75 to 79","Rhode Island","Black","--","1,540","--"
-"Legal Intervention","75 to 79","South Carolina","White","--","159,004","--"
-"Legal Intervention","75 to 79","South Carolina","Black","--","35,919","--"
-"Legal Intervention","75 to 79","South Dakota","White","--","25,922","--"
-"Legal Intervention","75 to 79","South Dakota","Black","--","123","--"
-"Legal Intervention","75 to 79","Tennessee","White","--","205,655","--"
-"Legal Intervention","75 to 79","Tennessee","Black","--","22,850","--"
-"Legal Intervention","75 to 79","Texas","White","--","335,643","--"
-"Legal Intervention","75 to 79","Texas","Black","--","46,951","--"
-"Legal Intervention","75 to 79","Utah","White","--","72,064","--"
-"Legal Intervention","75 to 79","Utah","Black","--","332","--"
-"Legal Intervention","75 to 79","Vermont","White","--","25,762","--"
-"Legal Intervention","75 to 79","Vermont","Black","--","89","--"
-"Legal Intervention","75 to 79","Virginia","White","--","222,159","--"
-"Legal Intervention","75 to 79","Virginia","Black","--","40,596","--"
-"Legal Intervention","75 to 79","Washington","White","--","219,080","--"
-"Legal Intervention","75 to 79","Washington","Black","--","4,896","--"
-"Legal Intervention","75 to 79","West Virginia","White","--","68,388","--"
-"Legal Intervention","75 to 79","West Virginia","Black","--","1,577","--"
-"Legal Intervention","75 to 79","Wisconsin","White","--","188,469","--"
-"Legal Intervention","75 to 79","Wisconsin","Black","--","5,510","--"
-"Legal Intervention","75 to 79","Wyoming","White","--","18,609","--"
-"Legal Intervention","75 to 79","Wyoming","Black","--","95","--"
-"Legal Intervention","80 to 84","Alabama","White","--","85,099","--"
-"Legal Intervention","80 to 84","Alabama","Black","--","17,802","--"
-"Legal Intervention","80 to 84","Alaska","White","--","7,019","--"
-"Legal Intervention","80 to 84","Alaska","Black","--","176","--"
-"Legal Intervention","80 to 84","Arizona","White","--","158,667","--"
-"Legal Intervention","80 to 84","Arizona","Black","--","3,669","--"
-"Legal Intervention","80 to 84","Arkansas","White","--","57,541","--"
-"Legal Intervention","80 to 84","Arkansas","Black","--","5,272","--"
-"Legal Intervention","80 to 84","California","White","--","359,993","--"
-"Legal Intervention","80 to 84","California","Black","--","25,929","--"
-"Legal Intervention","80 to 84","Colorado","White","--","89,427","--"
-"Legal Intervention","80 to 84","Colorado","Black","--","2,622","--"
-"Legal Intervention","80 to 84","Connecticut","White","--","68,600","--"
-"Legal Intervention","80 to 84","Connecticut","Black","--","5,640","--"
-"Legal Intervention","80 to 84","Delaware","White","--","19,206","--"
-"Legal Intervention","80 to 84","Delaware","Black","--","3,404","--"
-"Legal Intervention","80 to 84","District of Columbia","White","--","4,280","--"
-"Legal Intervention","80 to 84","District of Columbia","Black","--","5,495","--"
-"Legal Intervention","80 to 84","Florida","White","--","372,261","--"
-"Legal Intervention","80 to 84","Florida","Black","--","36,632","--"
-"Legal Intervention","80 to 84","Georgia","White","--","134,303","--"
-"Legal Intervention","80 to 84","Georgia","Black","--","38,946","--"
-"Legal Intervention","80 to 84","Hawaii","White","--","8,776","--"
-"Legal Intervention","80 to 84","Hawaii","Black","--","207","--"
-"Legal Intervention","80 to 84","Idaho","White","--","35,459","--"
-"Legal Intervention","80 to 84","Idaho","Black","--","85","--"
-"Legal Intervention","80 to 84","Illinois","White","--","205,771","--"
-"Legal Intervention","80 to 84","Illinois","Black","--","28,734","--"
-"Legal Intervention","80 to 84","Indiana","White","--","120,668","--"
-"Legal Intervention","80 to 84","Indiana","Black","--","7,550","--"
-"Legal Intervention","80 to 84","Iowa","White","--","66,497","--"
-"Legal Intervention","80 to 84","Iowa","Black","--","727","--"
-"Legal Intervention","80 to 84","Kansas","White","--","52,796","--"
-"Legal Intervention","80 to 84","Kansas","Black","--","2,021","--"
-"Legal Intervention","80 to 84","Kentucky","White","--","82,958","--"
-"Legal Intervention","80 to 84","Kentucky","Black","--","4,458","--"
-"Legal Intervention","80 to 84","Louisiana","White","--","65,100","--"
-"Legal Intervention","80 to 84","Louisiana","Black","--","19,051","--"
-"Legal Intervention","80 to 84","Maine","White","--","33,810","--"
-"Legal Intervention","80 to 84","Maine","Black","--","136","--"
-"Legal Intervention","80 to 84","Maryland","White","--","82,123","--"
-"Legal Intervention","80 to 84","Maryland","Black","--","28,623","--"
-"Legal Intervention","80 to 84","Massachusetts","White","--","127,688","--"
-"Legal Intervention","80 to 84","Massachusetts","Black","--","7,135","--"
-"Legal Intervention","80 to 84","Michigan","White","--","184,824","--"
-"Legal Intervention","80 to 84","Michigan","Black","--","19,200","--"
-"Legal Intervention","80 to 84","Minnesota","White","--","107,521","--"
-"Legal Intervention","80 to 84","Minnesota","Black","--","2,379","--"
-"Legal Intervention","80 to 84","Mississippi","White","--","43,433","--"
-"Legal Intervention","80 to 84","Mississippi","Black","--","13,394","--"
-"Legal Intervention","80 to 84","Missouri","White","--","116,562","--"
-"Legal Intervention","80 to 84","Missouri","Black","--","9,215","--"
-"Legal Intervention","80 to 84","Montana","White","--","23,393","--"
-"Legal Intervention","80 to 84","Montana","Black","--","66","--"
-"Legal Intervention","80 to 84","Nebraska","White","--","35,755","--"
-"Legal Intervention","80 to 84","Nebraska","Black","--","924","--"
-"Legal Intervention","80 to 84","Nevada","White","--","48,775","--"
-"Legal Intervention","80 to 84","Nevada","Black","--","3,944","--"
-"Legal Intervention","80 to 84","New Hampshire","White","--","29,025","--"
-"Legal Intervention","80 to 84","New Hampshire","Black","--","152","--"
-"Legal Intervention","80 to 84","New Jersey","White","--","151,821","--"
-"Legal Intervention","80 to 84","New Jersey","Black","--","20,261","--"
-"Legal Intervention","80 to 84","New Mexico","White","--","41,309","--"
-"Legal Intervention","80 to 84","New Mexico","Black","--","666","--"
-"Legal Intervention","80 to 84","New York","White","--","324,013","--"
-"Legal Intervention","80 to 84","New York","Black","--","59,265","--"
-"Legal Intervention","80 to 84","North Carolina","White","--","170,139","--"
-"Legal Intervention","80 to 84","North Carolina","Black","--","31,514","--"
-"Legal Intervention","80 to 84","North Dakota","White","--","13,974","--"
-"Legal Intervention","80 to 84","North Dakota","Black","--","38","--"
-"Legal Intervention","80 to 84","Ohio","White","--","220,378","--"
-"Legal Intervention","80 to 84","Ohio","Black","--","21,095","--"
-"Legal Intervention","80 to 84","Oklahoma","White","--","66,458","--"
-"Legal Intervention","80 to 84","Oklahoma","Black","--","3,373","--"
-"Legal Intervention","80 to 84","Oregon","White","--","83,913","--"
-"Legal Intervention","80 to 84","Oregon","Black","--","886","--"
-"Legal Intervention","80 to 84","Pennsylvania","White","--","267,033","--"
-"Legal Intervention","80 to 84","Pennsylvania","Black","--","20,181","--"
-"Legal Intervention","80 to 84","Rhode Island","White","--","21,479","--"
-"Legal Intervention","80 to 84","Rhode Island","Black","--","961","--"
-"Legal Intervention","80 to 84","South Carolina","White","--","89,359","--"
-"Legal Intervention","80 to 84","South Carolina","Black","--","19,823","--"
-"Legal Intervention","80 to 84","South Dakota","White","--","16,008","--"
-"Legal Intervention","80 to 84","South Dakota","Black","--","46","--"
-"Legal Intervention","80 to 84","Tennessee","White","--","121,913","--"
-"Legal Intervention","80 to 84","Tennessee","Black","--","13,112","--"
-"Legal Intervention","80 to 84","Texas","White","--","195,442","--"
-"Legal Intervention","80 to 84","Texas","Black","--","25,778","--"
-"Legal Intervention","80 to 84","Utah","White","--","43,033","--"
-"Legal Intervention","80 to 84","Utah","Black","--","244","--"
-"Legal Intervention","80 to 84","Vermont","White","--","14,773","--"
-"Legal Intervention","80 to 84","Vermont","Black","--","42","--"
-"Legal Intervention","80 to 84","Virginia","White","--","132,958","--"
-"Legal Intervention","80 to 84","Virginia","Black","--","24,572","--"
-"Legal Intervention","80 to 84","Washington","White","--","124,773","--"
-"Legal Intervention","80 to 84","Washington","Black","--","2,729","--"
-"Legal Intervention","80 to 84","West Virginia","White","--","41,184","--"
-"Legal Intervention","80 to 84","West Virginia","Black","--","860","--"
-"Legal Intervention","80 to 84","Wisconsin","White","--","116,662","--"
-"Legal Intervention","80 to 84","Wisconsin","Black","--","3,319","--"
-"Legal Intervention","80 to 84","Wyoming","White","--","10,891","--"
-"Legal Intervention","80 to 84","Wyoming","Black","--","49","--"
-"Legal Intervention","85+","Alabama","White","--","74,889","--"
-"Legal Intervention","85+","Alabama","Black","--","16,119","--"
-"Legal Intervention","85+","Alaska","White","--","5,494","--"
-"Legal Intervention","85+","Alaska","Black","--","172","--"
-"Legal Intervention","85+","Arizona","White","--","138,656","--"
-"Legal Intervention","85+","Arizona","Black","--","3,153","--"
-"Legal Intervention","85+","Arkansas","White","--","51,588","--"
-"Legal Intervention","85+","Arkansas","Black","--","4,957","--"
-"Legal Intervention","85+","California","White","--","375,374","--"
-"Legal Intervention","85+","California","Black","--","25,723","--"
-"Legal Intervention","85+","Colorado","White","--","83,500","--"
-"Legal Intervention","85+","Colorado","Black","--","2,256","--"
-"Legal Intervention","85+","Connecticut","White","--","73,251","--"
-"Legal Intervention","85+","Connecticut","Black","--","4,771","--"
-"Legal Intervention","85+","Delaware","White","--","16,632","--"
-"Legal Intervention","85+","Delaware","Black","--","2,681","--"
-"Legal Intervention","85+","District of Columbia","White","--","4,491","--"
-"Legal Intervention","85+","District of Columbia","Black","--","6,152","--"
-"Legal Intervention","85+","Florida","White","--","381,603","--"
-"Legal Intervention","85+","Florida","Black","--","32,353","--"
-"Legal Intervention","85+","Georgia","White","--","116,451","--"
-"Legal Intervention","85+","Georgia","Black","--","31,876","--"
-"Legal Intervention","85+","Hawaii","White","--","8,280","--"
-"Legal Intervention","85+","Hawaii","Black","--","204","--"
-"Legal Intervention","85+","Idaho","White","--","30,197","--"
-"Legal Intervention","85+","Idaho","Black","--","71","--"
-"Legal Intervention","85+","Illinois","White","--","215,666","--"
-"Legal Intervention","85+","Illinois","Black","--","27,388","--"
-"Legal Intervention","85+","Indiana","White","--","117,409","--"
-"Legal Intervention","85+","Indiana","Black","--","6,727","--"
-"Legal Intervention","85+","Iowa","White","--","74,664","--"
-"Legal Intervention","85+","Iowa","Black","--","627","--"
-"Legal Intervention","85+","Kansas","White","--","57,732","--"
-"Legal Intervention","85+","Kansas","Black","--","1,872","--"
-"Legal Intervention","85+","Kentucky","White","--","72,950","--"
-"Legal Intervention","85+","Kentucky","Black","--","4,037","--"
-"Legal Intervention","85+","Louisiana","White","--","59,282","--"
-"Legal Intervention","85+","Louisiana","Black","--","16,910","--"
-"Legal Intervention","85+","Maine","White","--","32,771","--"
-"Legal Intervention","85+","Maine","Black","--","163","--"
-"Legal Intervention","85+","Maryland","White","--","86,120","--"
-"Legal Intervention","85+","Maryland","Black","--","25,536","--"
-"Legal Intervention","85+","Massachusetts","White","--","136,401","--"
-"Legal Intervention","85+","Massachusetts","Black","--","6,846","--"
-"Legal Intervention","85+","Michigan","White","--","174,193","--"
-"Legal Intervention","85+","Michigan","Black","--","18,886","--"
-"Legal Intervention","85+","Minnesota","White","--","116,597","--"
-"Legal Intervention","85+","Minnesota","Black","--","1,982","--"
-"Legal Intervention","85+","Mississippi","White","--","38,975","--"
-"Legal Intervention","85+","Mississippi","Black","--","11,845","--"
-"Legal Intervention","85+","Missouri","White","--","115,067","--"
-"Legal Intervention","85+","Missouri","Black","--","8,621","--"
-"Legal Intervention","85+","Montana","White","--","21,673","--"
-"Legal Intervention","85+","Montana","Black","--","35","--"
-"Legal Intervention","85+","Nebraska","White","--","39,212","--"
-"Legal Intervention","85+","Nebraska","Black","--","747","--"
-"Legal Intervention","85+","Nevada","White","--","37,663","--"
-"Legal Intervention","85+","Nevada","Black","--","2,916","--"
-"Legal Intervention","85+","New Hampshire","White","--","29,437","--"
-"Legal Intervention","85+","New Hampshire","Black","--","126","--"
-"Legal Intervention","85+","New Jersey","White","--","163,370","--"
-"Legal Intervention","85+","New Jersey","Black","--","18,968","--"
-"Legal Intervention","85+","New Mexico","White","--","36,506","--"
-"Legal Intervention","85+","New Mexico","Black","--","567","--"
-"Legal Intervention","85+","New York","White","--","357,100","--"
-"Legal Intervention","85+","New York","Black","--","58,879","--"
-"Legal Intervention","85+","North Carolina","White","--","153,825","--"
-"Legal Intervention","85+","North Carolina","Black","--","27,478","--"
-"Legal Intervention","85+","North Dakota","White","--","17,891","--"
-"Legal Intervention","85+","North Dakota","Black","--","35","--"
-"Legal Intervention","85+","Ohio","White","--","214,237","--"
-"Legal Intervention","85+","Ohio","Black","--","21,021","--"
-"Legal Intervention","85+","Oklahoma","White","--","62,111","--"
-"Legal Intervention","85+","Oklahoma","Black","--","2,781","--"
-"Legal Intervention","85+","Oregon","White","--","77,219","--"
-"Legal Intervention","85+","Oregon","Black","--","755","--"
-"Legal Intervention","85+","Pennsylvania","White","--","283,200","--"
-"Legal Intervention","85+","Pennsylvania","Black","--","19,606","--"
-"Legal Intervention","85+","Rhode Island","White","--","24,191","--"
-"Legal Intervention","85+","Rhode Island","Black","--","1,124","--"
-"Legal Intervention","85+","South Carolina","White","--","74,055","--"
-"Legal Intervention","85+","South Carolina","Black","--","16,459","--"
-"Legal Intervention","85+","South Dakota","White","--","19,141","--"
-"Legal Intervention","85+","South Dakota","Black","--","36","--"
-"Legal Intervention","85+","Tennessee","White","--","104,678","--"
-"Legal Intervention","85+","Tennessee","Black","--","11,564","--"
-"Legal Intervention","85+","Texas","White","--","180,669","--"
-"Legal Intervention","85+","Texas","Black","--","21,581","--"
-"Legal Intervention","85+","Utah","White","--","37,176","--"
-"Legal Intervention","85+","Utah","Black","--","180","--"
-"Legal Intervention","85+","Vermont","White","--","14,067","--"
-"Legal Intervention","85+","Vermont","Black","--","60","--"
-"Legal Intervention","85+","Virginia","White","--","124,985","--"
-"Legal Intervention","85+","Virginia","Black","--","21,837","--"
-"Legal Intervention","85+","Washington","White","--","118,907","--"
-"Legal Intervention","85+","Washington","Black","--","2,387","--"
-"Legal Intervention","85+","West Virginia","White","--","37,099","--"
-"Legal Intervention","85+","West Virginia","Black","--","789","--"
-"Legal Intervention","85+","Wisconsin","White","--","117,313","--"
-"Legal Intervention","85+","Wisconsin","Black","--","2,800","--"
-"Legal Intervention","85+","Wyoming","White","--","10,036","--"
-"Legal Intervention","85+","Wyoming","Black","--","59","--"
-"Legal Intervention","Unknown","Alabama","White","-","-","-"
-"Legal Intervention","Unknown","Alabama","Black","-","-","-"
-"Legal Intervention","Unknown","Alaska","White","-","-","-"
-"Legal Intervention","Unknown","Alaska","Black","-","-","-"
-"Legal Intervention","Unknown","Arizona","White","-","-","-"
-"Legal Intervention","Unknown","Arizona","Black","-","-","-"
-"Legal Intervention","Unknown","Arkansas","White","-","-","-"
-"Legal Intervention","Unknown","Arkansas","Black","-","-","-"
-"Legal Intervention","Unknown","California","White","-","-","-"
-"Legal Intervention","Unknown","California","Black","-","-","-"
-"Legal Intervention","Unknown","Colorado","White","-","-","-"
-"Legal Intervention","Unknown","Colorado","Black","-","-","-"
-"Legal Intervention","Unknown","Connecticut","White","-","-","-"
-"Legal Intervention","Unknown","Connecticut","Black","-","-","-"
-"Legal Intervention","Unknown","Delaware","White","-","-","-"
-"Legal Intervention","Unknown","Delaware","Black","-","-","-"
-"Legal Intervention","Unknown","District of Columbia","White","-","-","-"
-"Legal Intervention","Unknown","District of Columbia","Black","-","-","-"
-"Legal Intervention","Unknown","Florida","White","-","-","-"
-"Legal Intervention","Unknown","Florida","Black","-","-","-"
-"Legal Intervention","Unknown","Georgia","White","-","-","-"
-"Legal Intervention","Unknown","Georgia","Black","-","-","-"
-"Legal Intervention","Unknown","Hawaii","White","-","-","-"
-"Legal Intervention","Unknown","Hawaii","Black","-","-","-"
-"Legal Intervention","Unknown","Idaho","White","-","-","-"
-"Legal Intervention","Unknown","Idaho","Black","-","-","-"
-"Legal Intervention","Unknown","Illinois","White","-","-","-"
-"Legal Intervention","Unknown","Illinois","Black","-","-","-"
-"Legal Intervention","Unknown","Indiana","White","-","-","-"
-"Legal Intervention","Unknown","Indiana","Black","-","-","-"
-"Legal Intervention","Unknown","Iowa","White","-","-","-"
-"Legal Intervention","Unknown","Iowa","Black","-","-","-"
-"Legal Intervention","Unknown","Kansas","White","-","-","-"
-"Legal Intervention","Unknown","Kansas","Black","-","-","-"
-"Legal Intervention","Unknown","Kentucky","White","-","-","-"
-"Legal Intervention","Unknown","Kentucky","Black","-","-","-"
-"Legal Intervention","Unknown","Louisiana","White","-","-","-"
-"Legal Intervention","Unknown","Louisiana","Black","-","-","-"
-"Legal Intervention","Unknown","Maine","White","-","-","-"
-"Legal Intervention","Unknown","Maine","Black","-","-","-"
-"Legal Intervention","Unknown","Maryland","White","-","-","-"
-"Legal Intervention","Unknown","Maryland","Black","-","-","-"
-"Legal Intervention","Unknown","Massachusetts","White","-","-","-"
-"Legal Intervention","Unknown","Massachusetts","Black","-","-","-"
-"Legal Intervention","Unknown","Michigan","White","-","-","-"
-"Legal Intervention","Unknown","Michigan","Black","-","-","-"
-"Legal Intervention","Unknown","Minnesota","White","-","-","-"
-"Legal Intervention","Unknown","Minnesota","Black","-","-","-"
-"Legal Intervention","Unknown","Mississippi","White","-","-","-"
-"Legal Intervention","Unknown","Mississippi","Black","-","-","-"
-"Legal Intervention","Unknown","Missouri","White","-","-","-"
-"Legal Intervention","Unknown","Missouri","Black","-","-","-"
-"Legal Intervention","Unknown","Montana","White","-","-","-"
-"Legal Intervention","Unknown","Montana","Black","-","-","-"
-"Legal Intervention","Unknown","Nebraska","White","-","-","-"
-"Legal Intervention","Unknown","Nebraska","Black","-","-","-"
-"Legal Intervention","Unknown","Nevada","White","-","-","-"
-"Legal Intervention","Unknown","Nevada","Black","-","-","-"
-"Legal Intervention","Unknown","New Hampshire","White","-","-","-"
-"Legal Intervention","Unknown","New Hampshire","Black","-","-","-"
-"Legal Intervention","Unknown","New Jersey","White","-","-","-"
-"Legal Intervention","Unknown","New Jersey","Black","-","-","-"
-"Legal Intervention","Unknown","New Mexico","White","-","-","-"
-"Legal Intervention","Unknown","New Mexico","Black","-","-","-"
-"Legal Intervention","Unknown","New York","White","-","-","-"
-"Legal Intervention","Unknown","New York","Black","-","-","-"
-"Legal Intervention","Unknown","North Carolina","White","-","-","-"
-"Legal Intervention","Unknown","North Carolina","Black","-","-","-"
-"Legal Intervention","Unknown","North Dakota","White","-","-","-"
-"Legal Intervention","Unknown","North Dakota","Black","-","-","-"
-"Legal Intervention","Unknown","Ohio","White","-","-","-"
-"Legal Intervention","Unknown","Ohio","Black","-","-","-"
-"Legal Intervention","Unknown","Oklahoma","White","-","-","-"
-"Legal Intervention","Unknown","Oklahoma","Black","-","-","-"
-"Legal Intervention","Unknown","Oregon","White","-","-","-"
-"Legal Intervention","Unknown","Oregon","Black","-","-","-"
-"Legal Intervention","Unknown","Pennsylvania","White","-","-","-"
-"Legal Intervention","Unknown","Pennsylvania","Black","-","-","-"
-"Legal Intervention","Unknown","Rhode Island","White","-","-","-"
-"Legal Intervention","Unknown","Rhode Island","Black","-","-","-"
-"Legal Intervention","Unknown","South Carolina","White","-","-","-"
-"Legal Intervention","Unknown","South Carolina","Black","-","-","-"
-"Legal Intervention","Unknown","South Dakota","White","-","-","-"
-"Legal Intervention","Unknown","South Dakota","Black","-","-","-"
-"Legal Intervention","Unknown","Tennessee","White","-","-","-"
-"Legal Intervention","Unknown","Tennessee","Black","-","-","-"
-"Legal Intervention","Unknown","Texas","White","-","-","-"
-"Legal Intervention","Unknown","Texas","Black","-","-","-"
-"Legal Intervention","Unknown","Utah","White","-","-","-"
-"Legal Intervention","Unknown","Utah","Black","-","-","-"
-"Legal Intervention","Unknown","Vermont","White","-","-","-"
-"Legal Intervention","Unknown","Vermont","Black","-","-","-"
-"Legal Intervention","Unknown","Virginia","White","-","-","-"
-"Legal Intervention","Unknown","Virginia","Black","-","-","-"
-"Legal Intervention","Unknown","Washington","White","-","-","-"
-"Legal Intervention","Unknown","Washington","Black","-","-","-"
-"Legal Intervention","Unknown","West Virginia","White","-","-","-"
-"Legal Intervention","Unknown","West Virginia","Black","-","-","-"
-"Legal Intervention","Unknown","Wisconsin","White","-","-","-"
-"Legal Intervention","Unknown","Wisconsin","Black","-","-","-"
-"Legal Intervention","Unknown","Wyoming","White","-","-","-"
-"Legal Intervention","Unknown","Wyoming","Black","-","-","-"
-"Unintentional Firearm","0 to 4","Alabama","White","--","180,341","--"
-"Unintentional Firearm","0 to 4","Alabama","Black","--","89,099","--"
-"Unintentional Firearm","0 to 4","Alaska","White","--","23,352","--"
-"Unintentional Firearm","0 to 4","Alaska","Black","--","1,810","--"
-"Unintentional Firearm","0 to 4","Arizona","White","--","296,789","--"
-"Unintentional Firearm","0 to 4","Arizona","Black","--","27,145","--"
-"Unintentional Firearm","0 to 4","Arkansas","White","--","127,187","--"
-"Unintentional Firearm","0 to 4","Arkansas","Black","--","35,259","--"
-"Unintentional Firearm","0 to 4","California","White","--","918,284","--"
-"Unintentional Firearm","0 to 4","California","Black","--","84,896","--"
-"Unintentional Firearm","0 to 4","Colorado","White","--","241,393","--"
-"Unintentional Firearm","0 to 4","Colorado","Black","--","20,295","--"
-"Unintentional Firearm","0 to 4","Connecticut","White","--","124,676","--"
-"Unintentional Firearm","0 to 4","Connecticut","Black","--","30,095","--"
-"Unintentional Firearm","0 to 4","Delaware","White","--","30,969","--"
-"Unintentional Firearm","0 to 4","Delaware","Black","--","15,323","--"
-"Unintentional Firearm","0 to 4","District of Columbia","White","--","15,627","--"
-"Unintentional Firearm","0 to 4","District of Columbia","Black","--","18,658","--"
-"Unintentional Firearm","0 to 4","Florida","White","--","533,690","--"
-"Unintentional Firearm","0 to 4","Florida","Black","--","178,163","--"
-"Unintentional Firearm","0 to 4","Georgia","White","--","335,064","--"
-"Unintentional Firearm","0 to 4","Georgia","Black","--","227,140","--"
-"Unintentional Firearm","0 to 4","Hawaii","White","--","15,012","--"
-"Unintentional Firearm","0 to 4","Hawaii","Black","--","1,896","--"
-"Unintentional Firearm","0 to 4","Idaho","White","--","100,323","--"
-"Unintentional Firearm","0 to 4","Idaho","Black","--","1,752","--"
-"Unintentional Firearm","0 to 4","Illinois","White","--","481,889","--"
-"Unintentional Firearm","0 to 4","Illinois","Black","--","116,710","--"
-"Unintentional Firearm","0 to 4","Indiana","White","--","313,669","--"
-"Unintentional Firearm","0 to 4","Indiana","Black","--","53,660","--"
-"Unintentional Firearm","0 to 4","Iowa","White","--","154,058","--"
-"Unintentional Firearm","0 to 4","Iowa","Black","--","13,703","--"
-"Unintentional Firearm","0 to 4","Kansas","White","--","141,473","--"
-"Unintentional Firearm","0 to 4","Kansas","Black","--","13,238","--"
-"Unintentional Firearm","0 to 4","Kentucky","White","--","213,657","--"
-"Unintentional Firearm","0 to 4","Kentucky","Black","--","27,248","--"
-"Unintentional Firearm","0 to 4","Louisiana","White","--","153,492","--"
-"Unintentional Firearm","0 to 4","Louisiana","Black","--","106,289","--"
-"Unintentional Firearm","0 to 4","Maine","White","--","54,442","--"
-"Unintentional Firearm","0 to 4","Maine","Black","--","2,822","--"
-"Unintentional Firearm","0 to 4","Maryland","White","--","181,975","--"
-"Unintentional Firearm","0 to 4","Maryland","Black","--","113,480","--"
-"Unintentional Firearm","0 to 4","Massachusetts","White","--","236,165","--"
-"Unintentional Firearm","0 to 4","Massachusetts","Black","--","52,496","--"
-"Unintentional Firearm","0 to 4","Michigan","White","--","380,098","--"
-"Unintentional Firearm","0 to 4","Michigan","Black","--","98,116","--"
-"Unintentional Firearm","0 to 4","Minnesota","White","--","237,344","--"
-"Unintentional Firearm","0 to 4","Minnesota","Black","--","40,249","--"
-"Unintentional Firearm","0 to 4","Mississippi","White","--","89,424","--"
-"Unintentional Firearm","0 to 4","Mississippi","Black","--","75,092","--"
-"Unintentional Firearm","0 to 4","Missouri","White","--","266,780","--"
-"Unintentional Firearm","0 to 4","Missouri","Black","--","52,085","--"
-"Unintentional Firearm","0 to 4","Montana","White","--","47,093","--"
-"Unintentional Firearm","0 to 4","Montana","Black","--","490","--"
-"Unintentional Firearm","0 to 4","Nebraska","White","--","99,031","--"
-"Unintentional Firearm","0 to 4","Nebraska","Black","--","9,179","--"
-"Unintentional Firearm","0 to 4","Nevada","White","--","109,375","--"
-"Unintentional Firearm","0 to 4","Nevada","Black","--","25,766","--"
-"Unintentional Firearm","0 to 4","New Hampshire","White","--","55,451","--"
-"Unintentional Firearm","0 to 4","New Hampshire","Black","--","2,002","--"
-"Unintentional Firearm","0 to 4","New Jersey","White","--","332,263","--"
-"Unintentional Firearm","0 to 4","New Jersey","Black","--","94,492","--"
-"Unintentional Firearm","0 to 4","New Mexico","White","--","81,687","--"
-"Unintentional Firearm","0 to 4","New Mexico","Black","--","3,549","--"
-"Unintentional Firearm","0 to 4","New York","White","--","657,477","--"
-"Unintentional Firearm","0 to 4","New York","Black","--","219,142","--"
-"Unintentional Firearm","0 to 4","North Carolina","White","--","365,980","--"
-"Unintentional Firearm","0 to 4","North Carolina","Black","--","151,185","--"
-"Unintentional Firearm","0 to 4","North Dakota","White","--","37,635","--"
-"Unintentional Firearm","0 to 4","North Dakota","Black","--","3,388","--"
-"Unintentional Firearm","0 to 4","Ohio","White","--","482,242","--"
-"Unintentional Firearm","0 to 4","Ohio","Black","--","112,281","--"
-"Unintentional Firearm","0 to 4","Oklahoma","White","--","149,184","--"
-"Unintentional Firearm","0 to 4","Oklahoma","Black","--","23,449","--"
-"Unintentional Firearm","0 to 4","Oregon","White","--","161,587","--"
-"Unintentional Firearm","0 to 4","Oregon","Black","--","6,167","--"
-"Unintentional Firearm","0 to 4","Pennsylvania","White","--","482,785","--"
-"Unintentional Firearm","0 to 4","Pennsylvania","Black","--","108,552","--"
-"Unintentional Firearm","0 to 4","Rhode Island","White","--","37,347","--"
-"Unintentional Firearm","0 to 4","Rhode Island","Black","--","7,223","--"
-"Unintentional Firearm","0 to 4","South Carolina","White","--","174,248","--"
-"Unintentional Firearm","0 to 4","South Carolina","Black","--","86,126","--"
-"Unintentional Firearm","0 to 4","South Dakota","White","--","42,132","--"
-"Unintentional Firearm","0 to 4","South Dakota","Black","--","2,414","--"
-"Unintentional Firearm","0 to 4","Tennessee","White","--","288,863","--"
-"Unintentional Firearm","0 to 4","Tennessee","Black","--","81,357","--"
-"Unintentional Firearm","0 to 4","Texas","White","--","822,522","--"
-"Unintentional Firearm","0 to 4","Texas","Black","--","215,347","--"
-"Unintentional Firearm","0 to 4","Utah","White","--","199,577","--"
-"Unintentional Firearm","0 to 4","Utah","Black","--","4,364","--"
-"Unintentional Firearm","0 to 4","Vermont","White","--","24,870","--"
-"Unintentional Firearm","0 to 4","Vermont","Black","--","651","--"
-"Unintentional Firearm","0 to 4","Virginia","White","--","303,460","--"
-"Unintentional Firearm","0 to 4","Virginia","Black","--","108,228","--"
-"Unintentional Firearm","0 to 4","Washington","White","--","287,699","--"
-"Unintentional Firearm","0 to 4","Washington","Black","--","24,308","--"
-"Unintentional Firearm","0 to 4","West Virginia","White","--","78,223","--"
-"Unintentional Firearm","0 to 4","West Virginia","Black","--","3,606","--"
-"Unintentional Firearm","0 to 4","Wisconsin","White","--","242,169","--"
-"Unintentional Firearm","0 to 4","Wisconsin","Black","--","32,763","--"
-"Unintentional Firearm","0 to 4","Wyoming","White","--","27,196","--"
-"Unintentional Firearm","0 to 4","Wyoming","Black","--","489","--"
-"Unintentional Firearm","5 to 9","Alabama","White","--","195,845","--"
-"Unintentional Firearm","5 to 9","Alabama","Black","--","88,383","--"
-"Unintentional Firearm","5 to 9","Alaska","White","--","26,339","--"
-"Unintentional Firearm","5 to 9","Alaska","Black","--","1,903","--"
-"Unintentional Firearm","5 to 9","Arizona","White","--","329,307","--"
-"Unintentional Firearm","5 to 9","Arizona","Black","--","30,234","--"
-"Unintentional Firearm","5 to 9","Arkansas","White","--","139,243","--"
-"Unintentional Firearm","5 to 9","Arkansas","Black","--","34,774","--"
-"Unintentional Firearm","5 to 9","California","White","--","1,021,998","--"
-"Unintentional Firearm","5 to 9","California","Black","--","85,783","--"
-"Unintentional Firearm","5 to 9","Colorado","White","--","268,503","--"
-"Unintentional Firearm","5 to 9","Colorado","Black","--","18,706","--"
-"Unintentional Firearm","5 to 9","Connecticut","White","--","140,462","--"
-"Unintentional Firearm","5 to 9","Connecticut","Black","--","29,507","--"
-"Unintentional Firearm","5 to 9","Delaware","White","--","33,312","--"
-"Unintentional Firearm","5 to 9","Delaware","Black","--","16,117","--"
-"Unintentional Firearm","5 to 9","District of Columbia","White","--","12,913","--"
-"Unintentional Firearm","5 to 9","District of Columbia","Black","--","20,234","--"
-"Unintentional Firearm","5 to 9","Florida","White","--","568,242","--"
-"Unintentional Firearm","5 to 9","Florida","Black","--","194,715","--"
-"Unintentional Firearm","5 to 9","Georgia","White","--","366,117","--"
-"Unintentional Firearm","5 to 9","Georgia","Black","--","241,878","--"
-"Unintentional Firearm","5 to 9","Hawaii","White","--","16,226","--"
-"Unintentional Firearm","5 to 9","Hawaii","Black","--","1,849","--"
-"Unintentional Firearm","5 to 9","Idaho","White","--","114,789","--"
-"Unintentional Firearm","5 to 9","Idaho","Black","--","1,484","--"
-"Unintentional Firearm","5 to 9","Illinois","White","--","536,488","--"
-"Unintentional Firearm","5 to 9","Illinois","Black","--","124,564","--"
-"Unintentional Firearm","5 to 9","Indiana","White","--","339,678","--"
-"Unintentional Firearm","5 to 9","Indiana","Black","--","54,854","--"
-"Unintentional Firearm","5 to 9","Iowa","White","--","168,273","--"
-"Unintentional Firearm","5 to 9","Iowa","Black","--","12,952","--"
-"Unintentional Firearm","5 to 9","Kansas","White","--","156,022","--"
-"Unintentional Firearm","5 to 9","Kansas","Black","--","13,212","--"
-"Unintentional Firearm","5 to 9","Kentucky","White","--","228,872","--"
-"Unintentional Firearm","5 to 9","Kentucky","Black","--","26,767","--"
-"Unintentional Firearm","5 to 9","Louisiana","White","--","166,006","--"
-"Unintentional Firearm","5 to 9","Louisiana","Black","--","108,466","--"
-"Unintentional Firearm","5 to 9","Maine","White","--","60,618","--"
-"Unintentional Firearm","5 to 9","Maine","Black","--","2,375","--"
-"Unintentional Firearm","5 to 9","Maryland","White","--","194,022","--"
-"Unintentional Firearm","5 to 9","Maryland","Black","--","121,062","--"
-"Unintentional Firearm","5 to 9","Massachusetts","White","--","260,644","--"
-"Unintentional Firearm","5 to 9","Massachusetts","Black","--","46,792","--"
-"Unintentional Firearm","5 to 9","Michigan","White","--","420,464","--"
-"Unintentional Firearm","5 to 9","Michigan","Black","--","100,527","--"
-"Unintentional Firearm","5 to 9","Minnesota","White","--","260,924","--"
-"Unintentional Firearm","5 to 9","Minnesota","Black","--","43,820","--"
-"Unintentional Firearm","5 to 9","Mississippi","White","--","97,202","--"
-"Unintentional Firearm","5 to 9","Mississippi","Black","--","74,257","--"
-"Unintentional Firearm","5 to 9","Missouri","White","--","288,933","--"
-"Unintentional Firearm","5 to 9","Missouri","Black","--","52,583","--"
-"Unintentional Firearm","5 to 9","Montana","White","--","53,642","--"
-"Unintentional Firearm","5 to 9","Montana","Black","--","506","--"
-"Unintentional Firearm","5 to 9","Nebraska","White","--","107,959","--"
-"Unintentional Firearm","5 to 9","Nebraska","Black","--","9,337","--"
-"Unintentional Firearm","5 to 9","Nevada","White","--","125,774","--"
-"Unintentional Firearm","5 to 9","Nevada","Black","--","25,726","--"
-"Unintentional Firearm","5 to 9","New Hampshire","White","--","60,463","--"
-"Unintentional Firearm","5 to 9","New Hampshire","Black","--","1,950","--"
-"Unintentional Firearm","5 to 9","New Jersey","White","--","355,366","--"
-"Unintentional Firearm","5 to 9","New Jersey","Black","--","94,868","--"
-"Unintentional Firearm","5 to 9","New Mexico","White","--","92,171","--"
-"Unintentional Firearm","5 to 9","New Mexico","Black","--","3,999","--"
-"Unintentional Firearm","5 to 9","New York","White","--","706,845","--"
-"Unintentional Firearm","5 to 9","New York","Black","--","207,675","--"
-"Unintentional Firearm","5 to 9","North Carolina","White","--","389,028","--"
-"Unintentional Firearm","5 to 9","North Carolina","Black","--","152,837","--"
-"Unintentional Firearm","5 to 9","North Dakota","White","--","41,662","--"
-"Unintentional Firearm","5 to 9","North Dakota","Black","--","2,647","--"
-"Unintentional Firearm","5 to 9","Ohio","White","--","522,622","--"
-"Unintentional Firearm","5 to 9","Ohio","Black","--","118,216","--"
-"Unintentional Firearm","5 to 9","Oklahoma","White","--","170,292","--"
-"Unintentional Firearm","5 to 9","Oklahoma","Black","--","22,416","--"
-"Unintentional Firearm","5 to 9","Oregon","White","--","186,810","--"
-"Unintentional Firearm","5 to 9","Oregon","Black","--","6,815","--"
-"Unintentional Firearm","5 to 9","Pennsylvania","White","--","524,297","--"
-"Unintentional Firearm","5 to 9","Pennsylvania","Black","--","115,368","--"
-"Unintentional Firearm","5 to 9","Rhode Island","White","--","40,792","--"
-"Unintentional Firearm","5 to 9","Rhode Island","Black","--","7,127","--"
-"Unintentional Firearm","5 to 9","South Carolina","White","--","191,092","--"
-"Unintentional Firearm","5 to 9","South Carolina","Black","--","88,438","--"
-"Unintentional Firearm","5 to 9","South Dakota","White","--","45,215","--"
-"Unintentional Firearm","5 to 9","South Dakota","Black","--","2,304","--"
-"Unintentional Firearm","5 to 9","Tennessee","White","--","304,096","--"
-"Unintentional Firearm","5 to 9","Tennessee","Black","--","82,016","--"
-"Unintentional Firearm","5 to 9","Texas","White","--","907,424","--"
-"Unintentional Firearm","5 to 9","Texas","Black","--","222,505","--"
-"Unintentional Firearm","5 to 9","Utah","White","--","225,081","--"
-"Unintentional Firearm","5 to 9","Utah","Black","--","4,156","--"
-"Unintentional Firearm","5 to 9","Vermont","White","--","28,735","--"
-"Unintentional Firearm","5 to 9","Vermont","Black","--","626","--"
-"Unintentional Firearm","5 to 9","Virginia","White","--","326,955","--"
-"Unintentional Firearm","5 to 9","Virginia","Black","--","109,021","--"
-"Unintentional Firearm","5 to 9","Washington","White","--","323,165","--"
-"Unintentional Firearm","5 to 9","Washington","Black","--","24,468","--"
-"Unintentional Firearm","5 to 9","West Virginia","White","--","86,725","--"
-"Unintentional Firearm","5 to 9","West Virginia","Black","--","3,819","--"
-"Unintentional Firearm","5 to 9","Wisconsin","White","--","265,474","--"
-"Unintentional Firearm","5 to 9","Wisconsin","Black","--","33,227","--"
-"Unintentional Firearm","5 to 9","Wyoming","White","--","31,456","--"
-"Unintentional Firearm","5 to 9","Wyoming","Black","--","531","--"
-"Unintentional Firearm","10 to 14","Alabama","White","--","205,964","--"
-"Unintentional Firearm","10 to 14","Alabama","Black","--","93,054","--"
-"Unintentional Firearm","10 to 14","Alaska","White","--","26,801","--"
-"Unintentional Firearm","10 to 14","Alaska","Black","--","1,591","--"
-"Unintentional Firearm","10 to 14","Arizona","White","--","353,118","--"
-"Unintentional Firearm","10 to 14","Arizona","Black","--","31,062","--"
-"Unintentional Firearm","10 to 14","Arkansas","White","--","148,612","--"
-"Unintentional Firearm","10 to 14","Arkansas","Black","--","35,517","--"
-"Unintentional Firearm","10 to 14","California","White","--","1,102,895","--"
-"Unintentional Firearm","10 to 14","California","Black","--","96,818","--"
-"Unintentional Firearm","10 to 14","Colorado","White","--","291,916","--"
-"Unintentional Firearm","10 to 14","Colorado","Black","--","18,698","--"
-"Unintentional Firearm","10 to 14","Connecticut","White","--","154,152","--"
-"Unintentional Firearm","10 to 14","Connecticut","Black","--","33,262","--"
-"Unintentional Firearm","10 to 14","Delaware","White","--","35,578","--"
-"Unintentional Firearm","10 to 14","Delaware","Black","--","17,464","--"
-"Unintentional Firearm","10 to 14","District of Columbia","White","--","10,030","--"
-"Unintentional Firearm","10 to 14","District of Columbia","Black","--","19,064","--"
-"Unintentional Firearm","10 to 14","Florida","White","--","595,866","--"
-"Unintentional Firearm","10 to 14","Florida","Black","--","199,412","--"
-"Unintentional Firearm","10 to 14","Georgia","White","--","395,408","--"
-"Unintentional Firearm","10 to 14","Georgia","Black","--","263,115","--"
-"Unintentional Firearm","10 to 14","Hawaii","White","--","14,561","--"
-"Unintentional Firearm","10 to 14","Hawaii","Black","--","1,541","--"
-"Unintentional Firearm","10 to 14","Idaho","White","--","124,404","--"
-"Unintentional Firearm","10 to 14","Idaho","Black","--","1,458","--"
-"Unintentional Firearm","10 to 14","Illinois","White","--","577,295","--"
-"Unintentional Firearm","10 to 14","Illinois","Black","--","126,689","--"
-"Unintentional Firearm","10 to 14","Indiana","White","--","357,385","--"
-"Unintentional Firearm","10 to 14","Indiana","Black","--","54,651","--"
-"Unintentional Firearm","10 to 14","Iowa","White","--","177,987","--"
-"Unintentional Firearm","10 to 14","Iowa","Black","--","12,077","--"
-"Unintentional Firearm","10 to 14","Kansas","White","--","165,715","--"
-"Unintentional Firearm","10 to 14","Kansas","Black","--","13,457","--"
-"Unintentional Firearm","10 to 14","Kentucky","White","--","237,204","--"
-"Unintentional Firearm","10 to 14","Kentucky","Black","--","28,434","--"
-"Unintentional Firearm","10 to 14","Louisiana","White","--","169,790","--"
-"Unintentional Firearm","10 to 14","Louisiana","Black","--","111,703","--"
-"Unintentional Firearm","10 to 14","Maine","White","--","64,831","--"
-"Unintentional Firearm","10 to 14","Maine","Black","--","2,340","--"
-"Unintentional Firearm","10 to 14","Maryland","White","--","202,753","--"
-"Unintentional Firearm","10 to 14","Maryland","Black","--","128,496","--"
-"Unintentional Firearm","10 to 14","Massachusetts","White","--","283,173","--"
-"Unintentional Firearm","10 to 14","Massachusetts","Black","--","46,221","--"
-"Unintentional Firearm","10 to 14","Michigan","White","--","444,727","--"
-"Unintentional Firearm","10 to 14","Michigan","Black","--","100,325","--"
-"Unintentional Firearm","10 to 14","Minnesota","White","--","276,061","--"
-"Unintentional Firearm","10 to 14","Minnesota","Black","--","41,186","--"
-"Unintentional Firearm","10 to 14","Mississippi","White","--","105,118","--"
-"Unintentional Firearm","10 to 14","Mississippi","Black","--","82,120","--"
-"Unintentional Firearm","10 to 14","Missouri","White","--","305,546","--"
-"Unintentional Firearm","10 to 14","Missouri","Black","--","53,259","--"
-"Unintentional Firearm","10 to 14","Montana","White","--","56,230","--"
-"Unintentional Firearm","10 to 14","Montana","Black","--","438","--"
-"Unintentional Firearm","10 to 14","Nebraska","White","--","112,646","--"
-"Unintentional Firearm","10 to 14","Nebraska","Black","--","8,930","--"
-"Unintentional Firearm","10 to 14","Nevada","White","--","136,547","--"
-"Unintentional Firearm","10 to 14","Nevada","Black","--","25,485","--"
-"Unintentional Firearm","10 to 14","New Hampshire","White","--","65,676","--"
-"Unintentional Firearm","10 to 14","New Hampshire","Black","--","2,061","--"
-"Unintentional Firearm","10 to 14","New Jersey","White","--","381,256","--"
-"Unintentional Firearm","10 to 14","New Jersey","Black","--","98,265","--"
-"Unintentional Firearm","10 to 14","New Mexico","White","--","104,490","--"
-"Unintentional Firearm","10 to 14","New Mexico","Black","--","4,199","--"
-"Unintentional Firearm","10 to 14","New York","White","--","736,068","--"
-"Unintentional Firearm","10 to 14","New York","Black","--","218,205","--"
-"Unintentional Firearm","10 to 14","North Carolina","White","--","423,841","--"
-"Unintentional Firearm","10 to 14","North Carolina","Black","--","160,799","--"
-"Unintentional Firearm","10 to 14","North Dakota","White","--","40,919","--"
-"Unintentional Firearm","10 to 14","North Dakota","Black","--","2,253","--"
-"Unintentional Firearm","10 to 14","Ohio","White","--","549,428","--"
-"Unintentional Firearm","10 to 14","Ohio","Black","--","118,355","--"
-"Unintentional Firearm","10 to 14","Oklahoma","White","--","180,955","--"
-"Unintentional Firearm","10 to 14","Oklahoma","Black","--","22,855","--"
-"Unintentional Firearm","10 to 14","Oregon","White","--","202,209","--"
-"Unintentional Firearm","10 to 14","Oregon","Black","--","6,843","--"
-"Unintentional Firearm","10 to 14","Pennsylvania","White","--","560,126","--"
-"Unintentional Firearm","10 to 14","Pennsylvania","Black","--","117,603","--"
-"Unintentional Firearm","10 to 14","Rhode Island","White","--","43,330","--"
-"Unintentional Firearm","10 to 14","Rhode Island","Black","--","6,969","--"
-"Unintentional Firearm","10 to 14","South Carolina","White","--","203,026","--"
-"Unintentional Firearm","10 to 14","South Carolina","Black","--","97,936","--"
-"Unintentional Firearm","10 to 14","South Dakota","White","--","47,707","--"
-"Unintentional Firearm","10 to 14","South Dakota","Black","--","2,201","--"
-"Unintentional Firearm","10 to 14","Tennessee","White","--","321,100","--"
-"Unintentional Firearm","10 to 14","Tennessee","Black","--","84,442","--"
-"Unintentional Firearm","10 to 14","Texas","White","--","953,731","--"
-"Unintentional Firearm","10 to 14","Texas","Black","--","225,425","--"
-"Unintentional Firearm","10 to 14","Utah","White","--","242,316","--"
-"Unintentional Firearm","10 to 14","Utah","Black","--","4,801","--"
-"Unintentional Firearm","10 to 14","Vermont","White","--","30,733","--"
-"Unintentional Firearm","10 to 14","Vermont","Black","--","679","--"
-"Unintentional Firearm","10 to 14","Virginia","White","--","339,961","--"
-"Unintentional Firearm","10 to 14","Virginia","Black","--","112,671","--"
-"Unintentional Firearm","10 to 14","Washington","White","--","341,099","--"
-"Unintentional Firearm","10 to 14","Washington","Black","--","24,373","--"
-"Unintentional Firearm","10 to 14","West Virginia","White","--","93,037","--"
-"Unintentional Firearm","10 to 14","West Virginia","Black","--","3,952","--"
-"Unintentional Firearm","10 to 14","Wisconsin","White","--","290,509","--"
-"Unintentional Firearm","10 to 14","Wisconsin","Black","--","33,235","--"
-"Unintentional Firearm","10 to 14","Wyoming","White","--","34,722","--"
-"Unintentional Firearm","10 to 14","Wyoming","Black","--","464","--"
-"Unintentional Firearm","15 to 19","Alabama","White","--","216,880","--"
-"Unintentional Firearm","15 to 19","Alabama","Black","--","99,145","--"
-"Unintentional Firearm","15 to 19","Alaska","White","--","24,423","--"
-"Unintentional Firearm","15 to 19","Alaska","Black","--","1,548","--"
-"Unintentional Firearm","15 to 19","Arizona","White","--","380,121","--"
-"Unintentional Firearm","15 to 19","Arizona","Black","--","30,510","--"
-"Unintentional Firearm","15 to 19","Arkansas","White","--","152,386","--"
-"Unintentional Firearm","15 to 19","Arkansas","Black","--","35,974","--"
-"Unintentional Firearm","15 to 19","California","White","--","1,167,778","--"
-"Unintentional Firearm","15 to 19","California","Black","--","101,244","--"
-"Unintentional Firearm","15 to 19","Colorado","White","--","312,753","--"
-"Unintentional Firearm","15 to 19","Colorado","Black","--","18,404","--"
-"Unintentional Firearm","15 to 19","Connecticut","White","--","184,851","--"
-"Unintentional Firearm","15 to 19","Connecticut","Black","--","35,466","--"
-"Unintentional Firearm","15 to 19","Delaware","White","--","38,858","--"
-"Unintentional Firearm","15 to 19","Delaware","Black","--","17,584","--"
-"Unintentional Firearm","15 to 19","District of Columbia","White","--","14,978","--"
-"Unintentional Firearm","15 to 19","District of Columbia","Black","--","18,189","--"
-"Unintentional Firearm","15 to 19","Florida","White","--","637,159","--"
-"Unintentional Firearm","15 to 19","Florida","Black","--","192,189","--"
-"Unintentional Firearm","15 to 19","Georgia","White","--","421,291","--"
-"Unintentional Firearm","15 to 19","Georgia","Black","--","264,705","--"
-"Unintentional Firearm","15 to 19","Hawaii","White","--","13,445","--"
-"Unintentional Firearm","15 to 19","Hawaii","Black","--","1,578","--"
-"Unintentional Firearm","15 to 19","Idaho","White","--","134,012","--"
-"Unintentional Firearm","15 to 19","Idaho","Black","--","1,700","--"
-"Unintentional Firearm","15 to 19","Illinois","White","--","607,968","--"
-"Unintentional Firearm","15 to 19","Illinois","Black","--","127,679","--"
-"Unintentional Firearm","15 to 19","Indiana","White","--","373,693","--"
-"Unintentional Firearm","15 to 19","Indiana","Black","--","53,292","--"
-"Unintentional Firearm","15 to 19","Iowa","White","--","192,204","--"
-"Unintentional Firearm","15 to 19","Iowa","Black","--","12,139","--"
-"Unintentional Firearm","15 to 19","Kansas","White","--","170,880","--"
-"Unintentional Firearm","15 to 19","Kansas","Black","--","14,109","--"
-"Unintentional Firearm","15 to 19","Kentucky","White","--","239,149","--"
-"Unintentional Firearm","15 to 19","Kentucky","Black","--","29,147","--"
-"Unintentional Firearm","15 to 19","Louisiana","White","--","170,127","--"
-"Unintentional Firearm","15 to 19","Louisiana","Black","--","113,544","--"
-"Unintentional Firearm","15 to 19","Maine","White","--","70,821","--"
-"Unintentional Firearm","15 to 19","Maine","Black","--","2,548","--"
-"Unintentional Firearm","15 to 19","Maryland","White","--","210,916","--"
-"Unintentional Firearm","15 to 19","Maryland","Black","--","125,876","--"
-"Unintentional Firearm","15 to 19","Massachusetts","White","--","341,219","--"
-"Unintentional Firearm","15 to 19","Massachusetts","Black","--","48,115","--"
-"Unintentional Firearm","15 to 19","Michigan","White","--","478,165","--"
-"Unintentional Firearm","15 to 19","Michigan","Black","--","97,777","--"
-"Unintentional Firearm","15 to 19","Minnesota","White","--","286,376","--"
-"Unintentional Firearm","15 to 19","Minnesota","Black","--","37,473","--"
-"Unintentional Firearm","15 to 19","Mississippi","White","--","110,623","--"
-"Unintentional Firearm","15 to 19","Mississippi","Black","--","87,150","--"
-"Unintentional Firearm","15 to 19","Missouri","White","--","315,503","--"
-"Unintentional Firearm","15 to 19","Missouri","Black","--","53,308","--"
-"Unintentional Firearm","15 to 19","Montana","White","--","57,187","--"
-"Unintentional Firearm","15 to 19","Montana","Black","--","548","--"
-"Unintentional Firearm","15 to 19","Nebraska","White","--","116,148","--"
-"Unintentional Firearm","15 to 19","Nebraska","Black","--","8,503","--"
-"Unintentional Firearm","15 to 19","Nevada","White","--","134,472","--"
-"Unintentional Firearm","15 to 19","Nevada","Black","--","22,771","--"
-"Unintentional Firearm","15 to 19","New Hampshire","White","--","73,107","--"
-"Unintentional Firearm","15 to 19","New Hampshire","Black","--","2,208","--"
-"Unintentional Firearm","15 to 19","New Jersey","White","--","397,153","--"
-"Unintentional Firearm","15 to 19","New Jersey","Black","--","94,125","--"
-"Unintentional Firearm","15 to 19","New Mexico","White","--","111,651","--"
-"Unintentional Firearm","15 to 19","New Mexico","Black","--","4,512","--"
-"Unintentional Firearm","15 to 19","New York","White","--","803,732","--"
-"Unintentional Firearm","15 to 19","New York","Black","--","220,809","--"
-"Unintentional Firearm","15 to 19","North Carolina","White","--","465,152","--"
-"Unintentional Firearm","15 to 19","North Carolina","Black","--","170,592","--"
-"Unintentional Firearm","15 to 19","North Dakota","White","--","45,303","--"
-"Unintentional Firearm","15 to 19","North Dakota","Black","--","1,865","--"
-"Unintentional Firearm","15 to 19","Ohio","White","--","576,605","--"
-"Unintentional Firearm","15 to 19","Ohio","Black","--","112,976","--"
-"Unintentional Firearm","15 to 19","Oklahoma","White","--","186,174","--"
-"Unintentional Firearm","15 to 19","Oklahoma","Black","--","24,525","--"
-"Unintentional Firearm","15 to 19","Oregon","White","--","206,630","--"
-"Unintentional Firearm","15 to 19","Oregon","Black","--","6,747","--"
-"Unintentional Firearm","15 to 19","Pennsylvania","White","--","636,865","--"
-"Unintentional Firearm","15 to 19","Pennsylvania","Black","--","118,367","--"
-"Unintentional Firearm","15 to 19","Rhode Island","White","--","56,302","--"
-"Unintentional Firearm","15 to 19","Rhode Island","Black","--","7,483","--"
-"Unintentional Firearm","15 to 19","South Carolina","White","--","218,694","--"
-"Unintentional Firearm","15 to 19","South Carolina","Black","--","101,172","--"
-"Unintentional Firearm","15 to 19","South Dakota","White","--","48,128","--"
-"Unintentional Firearm","15 to 19","South Dakota","Black","--","1,726","--"
-"Unintentional Firearm","15 to 19","Tennessee","White","--","328,074","--"
-"Unintentional Firearm","15 to 19","Tennessee","Black","--","83,100","--"
-"Unintentional Firearm","15 to 19","Texas","White","12**","959,510","1.25"
-"Unintentional Firearm","15 to 19","Texas","Black","--","215,566","--"
-"Unintentional Firearm","15 to 19","Utah","White","--","245,060","--"
-"Unintentional Firearm","15 to 19","Utah","Black","--","4,625","--"
-"Unintentional Firearm","15 to 19","Vermont","White","--","37,526","--"
-"Unintentional Firearm","15 to 19","Vermont","Black","--","899","--"
-"Unintentional Firearm","15 to 19","Virginia","White","--","362,797","--"
-"Unintentional Firearm","15 to 19","Virginia","Black","--","118,104","--"
-"Unintentional Firearm","15 to 19","Washington","White","--","338,086","--"
-"Unintentional Firearm","15 to 19","Washington","Black","--","22,579","--"
-"Unintentional Firearm","15 to 19","West Virginia","White","--","97,496","--"
-"Unintentional Firearm","15 to 19","West Virginia","Black","--","4,849","--"
-"Unintentional Firearm","15 to 19","Wisconsin","White","--","315,281","--"
-"Unintentional Firearm","15 to 19","Wisconsin","Black","--","31,838","--"
-"Unintentional Firearm","15 to 19","Wyoming","White","--","35,452","--"
-"Unintentional Firearm","15 to 19","Wyoming","Black","--","482","--"
-"Unintentional Firearm","20 to 24","Alabama","White","--","229,203","--"
-"Unintentional Firearm","20 to 24","Alabama","Black","--","108,314","--"
-"Unintentional Firearm","20 to 24","Alaska","White","--","30,319","--"
-"Unintentional Firearm","20 to 24","Alaska","Black","--","2,839","--"
-"Unintentional Firearm","20 to 24","Arizona","White","--","412,758","--"
-"Unintentional Firearm","20 to 24","Arizona","Black","--","33,004","--"
-"Unintentional Firearm","20 to 24","Arkansas","White","--","158,002","--"
-"Unintentional Firearm","20 to 24","Arkansas","Black","--","39,342","--"
-"Unintentional Firearm","20 to 24","California","White","--","1,247,088","--"
-"Unintentional Firearm","20 to 24","California","Black","--","115,207","--"
-"Unintentional Firearm","20 to 24","Colorado","White","--","336,044","--"
-"Unintentional Firearm","20 to 24","Colorado","Black","--","21,525","--"
-"Unintentional Firearm","20 to 24","Connecticut","White","--","182,182","--"
-"Unintentional Firearm","20 to 24","Connecticut","Black","--","35,572","--"
-"Unintentional Firearm","20 to 24","Delaware","White","--","37,241","--"
-"Unintentional Firearm","20 to 24","Delaware","Black","--","18,013","--"
-"Unintentional Firearm","20 to 24","District of Columbia","White","--","23,632","--"
-"Unintentional Firearm","20 to 24","District of Columbia","Black","--","19,382","--"
-"Unintentional Firearm","20 to 24","Florida","White","--","679,404","--"
-"Unintentional Firearm","20 to 24","Florida","Black","--","199,250","--"
-"Unintentional Firearm","20 to 24","Georgia","White","--","433,877","--"
-"Unintentional Firearm","20 to 24","Georgia","Black","--","276,164","--"
-"Unintentional Firearm","20 to 24","Hawaii","White","--","26,265","--"
-"Unintentional Firearm","20 to 24","Hawaii","Black","--","3,657","--"
-"Unintentional Firearm","20 to 24","Idaho","White","--","122,210","--"
-"Unintentional Firearm","20 to 24","Idaho","Black","--","2,055","--"
-"Unintentional Firearm","20 to 24","Illinois","White","--","622,549","--"
-"Unintentional Firearm","20 to 24","Illinois","Black","--","137,775","--"
-"Unintentional Firearm","20 to 24","Indiana","White","--","397,948","--"
-"Unintentional Firearm","20 to 24","Indiana","Black","--","56,280","--"
-"Unintentional Firearm","20 to 24","Iowa","White","--","203,529","--"
-"Unintentional Firearm","20 to 24","Iowa","Black","--","13,181","--"
-"Unintentional Firearm","20 to 24","Kansas","White","--","184,291","--"
-"Unintentional Firearm","20 to 24","Kansas","Black","--","16,483","--"
-"Unintentional Firearm","20 to 24","Kentucky","White","--","258,883","--"
-"Unintentional Firearm","20 to 24","Kentucky","Black","--","32,644","--"
-"Unintentional Firearm","20 to 24","Louisiana","White","--","178,463","--"
-"Unintentional Firearm","20 to 24","Louisiana","Black","--","119,461","--"
-"Unintentional Firearm","20 to 24","Maine","White","--","71,385","--"
-"Unintentional Firearm","20 to 24","Maine","Black","--","2,480","--"
-"Unintentional Firearm","20 to 24","Maryland","White","--","208,301","--"
-"Unintentional Firearm","20 to 24","Maryland","Black","--","130,750","--"
-"Unintentional Firearm","20 to 24","Massachusetts","White","--","375,819","--"
-"Unintentional Firearm","20 to 24","Massachusetts","Black","--","51,126","--"
-"Unintentional Firearm","20 to 24","Michigan","White","--","525,093","--"
-"Unintentional Firearm","20 to 24","Michigan","Black","--","107,139","--"
-"Unintentional Firearm","20 to 24","Minnesota","White","--","289,837","--"
-"Unintentional Firearm","20 to 24","Minnesota","Black","--","34,188","--"
-"Unintentional Firearm","20 to 24","Mississippi","White","--","113,911","--"
-"Unintentional Firearm","20 to 24","Mississippi","Black","--","87,800","--"
-"Unintentional Firearm","20 to 24","Missouri","White","--","334,793","--"
-"Unintentional Firearm","20 to 24","Missouri","Black","--","55,686","--"
-"Unintentional Firearm","20 to 24","Montana","White","--","66,748","--"
-"Unintentional Firearm","20 to 24","Montana","Black","--","890","--"
-"Unintentional Firearm","20 to 24","Nebraska","White","--","122,100","--"
-"Unintentional Firearm","20 to 24","Nebraska","Black","--","8,495","--"
-"Unintentional Firearm","20 to 24","Nevada","White","--","137,404","--"
-"Unintentional Firearm","20 to 24","Nevada","Black","--","23,445","--"
-"Unintentional Firearm","20 to 24","New Hampshire","White","--","78,484","--"
-"Unintentional Firearm","20 to 24","New Hampshire","Black","--","2,355","--"
-"Unintentional Firearm","20 to 24","New Jersey","White","--","397,324","--"
-"Unintentional Firearm","20 to 24","New Jersey","Black","--","100,941","--"
-"Unintentional Firearm","20 to 24","New Mexico","White","--","118,089","--"
-"Unintentional Firearm","20 to 24","New Mexico","Black","--","5,172","--"
-"Unintentional Firearm","20 to 24","New York","White","--","865,371","--"
-"Unintentional Firearm","20 to 24","New York","Black","--","248,202","--"
-"Unintentional Firearm","20 to 24","North Carolina","White","--","499,730","--"
-"Unintentional Firearm","20 to 24","North Carolina","Black","--","180,717","--"
-"Unintentional Firearm","20 to 24","North Dakota","White","--","54,872","--"
-"Unintentional Firearm","20 to 24","North Dakota","Black","--","2,593","--"
-"Unintentional Firearm","20 to 24","Ohio","White","--","602,331","--"
-"Unintentional Firearm","20 to 24","Ohio","Black","--","116,570","--"
-"Unintentional Firearm","20 to 24","Oklahoma","White","--","200,949","--"
-"Unintentional Firearm","20 to 24","Oklahoma","Black","--","27,499","--"
-"Unintentional Firearm","20 to 24","Oregon","White","--","221,973","--"
-"Unintentional Firearm","20 to 24","Oregon","Black","--","7,756","--"
-"Unintentional Firearm","20 to 24","Pennsylvania","White","--","643,288","--"
-"Unintentional Firearm","20 to 24","Pennsylvania","Black","--","123,305","--"
-"Unintentional Firearm","20 to 24","Rhode Island","White","--","60,888","--"
-"Unintentional Firearm","20 to 24","Rhode Island","Black","--","8,507","--"
-"Unintentional Firearm","20 to 24","South Carolina","White","--","226,532","--"
-"Unintentional Firearm","20 to 24","South Carolina","Black","--","104,775","--"
-"Unintentional Firearm","20 to 24","South Dakota","White","--","50,224","--"
-"Unintentional Firearm","20 to 24","South Dakota","Black","--","1,926","--"
-"Unintentional Firearm","20 to 24","Tennessee","White","--","357,420","--"
-"Unintentional Firearm","20 to 24","Tennessee","Black","--","91,576","--"
-"Unintentional Firearm","20 to 24","Texas","White","--","968,701","--"
-"Unintentional Firearm","20 to 24","Texas","Black","--","222,580","--"
-"Unintentional Firearm","20 to 24","Utah","White","--","265,862","--"
-"Unintentional Firearm","20 to 24","Utah","Black","--","5,181","--"
-"Unintentional Firearm","20 to 24","Vermont","White","--","41,427","--"
-"Unintentional Firearm","20 to 24","Vermont","Black","--","1,168","--"
-"Unintentional Firearm","20 to 24","Virginia","White","--","392,248","--"
-"Unintentional Firearm","20 to 24","Virginia","Black","--","127,737","--"
-"Unintentional Firearm","20 to 24","Washington","White","--","366,738","--"
-"Unintentional Firearm","20 to 24","Washington","Black","--","28,153","--"
-"Unintentional Firearm","20 to 24","West Virginia","White","--","104,864","--"
-"Unintentional Firearm","20 to 24","West Virginia","Black","--","5,565","--"
-"Unintentional Firearm","20 to 24","Wisconsin","White","--","341,260","--"
-"Unintentional Firearm","20 to 24","Wisconsin","Black","--","32,637","--"
-"Unintentional Firearm","20 to 24","Wyoming","White","--","35,389","--"
-"Unintentional Firearm","20 to 24","Wyoming","Black","--","755","--"
-"Unintentional Firearm","25 to 29","Alabama","White","--","208,303","--"
-"Unintentional Firearm","25 to 29","Alabama","Black","--","97,392","--"
-"Unintentional Firearm","25 to 29","Alaska","White","--","33,722","--"
-"Unintentional Firearm","25 to 29","Alaska","Black","--","2,657","--"
-"Unintentional Firearm","25 to 29","Arizona","White","--","398,591","--"
-"Unintentional Firearm","25 to 29","Arizona","Black","--","34,860","--"
-"Unintentional Firearm","25 to 29","Arkansas","White","--","146,268","--"
-"Unintentional Firearm","25 to 29","Arkansas","Black","--","35,042","--"
-"Unintentional Firearm","25 to 29","California","White","--","1,308,629","--"
-"Unintentional Firearm","25 to 29","California","Black","--","132,463","--"
-"Unintentional Firearm","25 to 29","Colorado","White","--","374,261","--"
-"Unintentional Firearm","25 to 29","Colorado","Black","--","24,799","--"
-"Unintentional Firearm","25 to 29","Connecticut","White","--","165,033","--"
-"Unintentional Firearm","25 to 29","Connecticut","Black","--","35,425","--"
-"Unintentional Firearm","25 to 29","Delaware","White","--","37,662","--"
-"Unintentional Firearm","25 to 29","Delaware","Black","--","16,633","--"
-"Unintentional Firearm","25 to 29","District of Columbia","White","--","39,791","--"
-"Unintentional Firearm","25 to 29","District of Columbia","Black","--","23,847","--"
-"Unintentional Firearm","25 to 29","Florida","White","--","680,730","--"
-"Unintentional Firearm","25 to 29","Florida","Black","--","200,273","--"
-"Unintentional Firearm","25 to 29","Georgia","White","--","406,681","--"
-"Unintentional Firearm","25 to 29","Georgia","Black","--","272,771","--"
-"Unintentional Firearm","25 to 29","Hawaii","White","--","25,925","--"
-"Unintentional Firearm","25 to 29","Hawaii","Black","--","3,784","--"
-"Unintentional Firearm","25 to 29","Idaho","White","--","112,805","--"
-"Unintentional Firearm","25 to 29","Idaho","Black","--","1,814","--"
-"Unintentional Firearm","25 to 29","Illinois","White","--","605,241","--"
-"Unintentional Firearm","25 to 29","Illinois","Black","--","143,191","--"
-"Unintentional Firearm","25 to 29","Indiana","White","--","358,013","--"
-"Unintentional Firearm","25 to 29","Indiana","Black","--","55,315","--"
-"Unintentional Firearm","25 to 29","Iowa","White","--","171,023","--"
-"Unintentional Firearm","25 to 29","Iowa","Black","--","12,446","--"
-"Unintentional Firearm","25 to 29","Kansas","White","--","154,576","--"
-"Unintentional Firearm","25 to 29","Kansas","Black","--","14,518","--"
-"Unintentional Firearm","25 to 29","Kentucky","White","--","246,636","--"
-"Unintentional Firearm","25 to 29","Kentucky","Black","--","30,715","--"
-"Unintentional Firearm","25 to 29","Louisiana","White","--","170,334","--"
-"Unintentional Firearm","25 to 29","Louisiana","Black","--","106,944","--"
-"Unintentional Firearm","25 to 29","Maine","White","--","73,679","--"
-"Unintentional Firearm","25 to 29","Maine","Black","--","2,389","--"
-"Unintentional Firearm","25 to 29","Maryland","White","--","207,857","--"
-"Unintentional Firearm","25 to 29","Maryland","Black","--","133,479","--"
-"Unintentional Firearm","25 to 29","Massachusetts","White","--","363,319","--"
-"Unintentional Firearm","25 to 29","Massachusetts","Black","--","51,433","--"
-"Unintentional Firearm","25 to 29","Michigan","White","--","484,438","--"
-"Unintentional Firearm","25 to 29","Michigan","Black","--","108,908","--"
-"Unintentional Firearm","25 to 29","Minnesota","White","--","282,348","--"
-"Unintentional Firearm","25 to 29","Minnesota","Black","--","33,390","--"
-"Unintentional Firearm","25 to 29","Mississippi","White","--","100,419","--"
-"Unintentional Firearm","25 to 29","Mississippi","Black","--","78,243","--"
-"Unintentional Firearm","25 to 29","Missouri","White","--","314,942","--"
-"Unintentional Firearm","25 to 29","Missouri","Black","--","55,274","--"
-"Unintentional Firearm","25 to 29","Montana","White","--","62,246","--"
-"Unintentional Firearm","25 to 29","Montana","Black","--","770","--"
-"Unintentional Firearm","25 to 29","Nebraska","White","--","106,372","--"
-"Unintentional Firearm","25 to 29","Nebraska","Black","--","8,554","--"
-"Unintentional Firearm","25 to 29","Nevada","White","--","152,178","--"
-"Unintentional Firearm","25 to 29","Nevada","Black","--","28,186","--"
-"Unintentional Firearm","25 to 29","New Hampshire","White","--","78,533","--"
-"Unintentional Firearm","25 to 29","New Hampshire","Black","--","2,383","--"
-"Unintentional Firearm","25 to 29","New Jersey","White","--","389,303","--"
-"Unintentional Firearm","25 to 29","New Jersey","Black","--","104,093","--"
-"Unintentional Firearm","25 to 29","New Mexico","White","--","107,156","--"
-"Unintentional Firearm","25 to 29","New Mexico","Black","--","4,727","--"
-"Unintentional Firearm","25 to 29","New York","White","--","887,577","--"
-"Unintentional Firearm","25 to 29","New York","Black","--","261,092","--"
-"Unintentional Firearm","25 to 29","North Carolina","White","--","468,805","--"
-"Unintentional Firearm","25 to 29","North Carolina","Black","--","173,348","--"
-"Unintentional Firearm","25 to 29","North Dakota","White","--","44,860","--"
-"Unintentional Firearm","25 to 29","North Dakota","Black","--","2,797","--"
-"Unintentional Firearm","25 to 29","Ohio","White","--","586,432","--"
-"Unintentional Firearm","25 to 29","Ohio","Black","--","119,059","--"
-"Unintentional Firearm","25 to 29","Oklahoma","White","--","183,119","--"
-"Unintentional Firearm","25 to 29","Oklahoma","Black","--","25,642","--"
-"Unintentional Firearm","25 to 29","Oregon","White","--","232,336","--"
-"Unintentional Firearm","25 to 29","Oregon","Black","--","8,915","--"
-"Unintentional Firearm","25 to 29","Pennsylvania","White","--","615,684","--"
-"Unintentional Firearm","25 to 29","Pennsylvania","Black","--","122,841","--"
-"Unintentional Firearm","25 to 29","Rhode Island","White","--","57,055","--"
-"Unintentional Firearm","25 to 29","Rhode Island","Black","--","8,130","--"
-"Unintentional Firearm","25 to 29","South Carolina","White","--","213,793","--"
-"Unintentional Firearm","25 to 29","South Carolina","Black","--","95,617","--"
-"Unintentional Firearm","25 to 29","South Dakota","White","--","45,508","--"
-"Unintentional Firearm","25 to 29","South Dakota","Black","--","1,969","--"
-"Unintentional Firearm","25 to 29","Tennessee","White","--","363,007","--"
-"Unintentional Firearm","25 to 29","Tennessee","Black","--","93,553","--"
-"Unintentional Firearm","25 to 29","Texas","White","--","997,897","--"
-"Unintentional Firearm","25 to 29","Texas","Black","--","247,990","--"
-"Unintentional Firearm","25 to 29","Utah","White","--","226,852","--"
-"Unintentional Firearm","25 to 29","Utah","Black","--","5,355","--"
-"Unintentional Firearm","25 to 29","Vermont","White","--","34,440","--"
-"Unintentional Firearm","25 to 29","Vermont","Black","--","895","--"
-"Unintentional Firearm","25 to 29","Virginia","White","--","377,098","--"
-"Unintentional Firearm","25 to 29","Virginia","Black","--","126,319","--"
-"Unintentional Firearm","25 to 29","Washington","White","--","401,822","--"
-"Unintentional Firearm","25 to 29","Washington","Black","--","30,976","--"
-"Unintentional Firearm","25 to 29","West Virginia","White","--","95,321","--"
-"Unintentional Firearm","25 to 29","West Virginia","Black","--","5,141","--"
-"Unintentional Firearm","25 to 29","Wisconsin","White","--","301,974","--"
-"Unintentional Firearm","25 to 29","Wisconsin","Black","--","32,272","--"
-"Unintentional Firearm","25 to 29","Wyoming","White","--","31,459","--"
-"Unintentional Firearm","25 to 29","Wyoming","Black","--","573","--"
-"Unintentional Firearm","30 to 34","Alabama","White","--","221,016","--"
-"Unintentional Firearm","30 to 34","Alabama","Black","--","101,298","--"
-"Unintentional Firearm","30 to 34","Alaska","White","--","37,587","--"
-"Unintentional Firearm","30 to 34","Alaska","Black","--","2,605","--"
-"Unintentional Firearm","30 to 34","Arizona","White","--","400,296","--"
-"Unintentional Firearm","30 to 34","Arizona","Black","--","36,454","--"
-"Unintentional Firearm","30 to 34","Arkansas","White","--","154,054","--"
-"Unintentional Firearm","30 to 34","Arkansas","Black","--","34,888","--"
-"Unintentional Firearm","30 to 34","California","White","--","1,394,002","--"
-"Unintentional Firearm","30 to 34","California","Black","--","147,840","--"
-"Unintentional Firearm","30 to 34","Colorado","White","--","399,639","--"
-"Unintentional Firearm","30 to 34","Colorado","Black","--","26,098","--"
-"Unintentional Firearm","30 to 34","Connecticut","White","--","167,654","--"
-"Unintentional Firearm","30 to 34","Connecticut","Black","--","37,599","--"
-"Unintentional Firearm","30 to 34","Delaware","White","--","43,963","--"
-"Unintentional Firearm","30 to 34","Delaware","Black","--","17,454","--"
-"Unintentional Firearm","30 to 34","District of Columbia","White","--","40,917","--"
-"Unintentional Firearm","30 to 34","District of Columbia","Black","--","26,733","--"
-"Unintentional Firearm","30 to 34","Florida","White","--","754,132","--"
-"Unintentional Firearm","30 to 34","Florida","Black","--","217,922","--"
-"Unintentional Firearm","30 to 34","Georgia","White","--","421,111","--"
-"Unintentional Firearm","30 to 34","Georgia","Black","--","284,269","--"
-"Unintentional Firearm","30 to 34","Hawaii","White","--","27,147","--"
-"Unintentional Firearm","30 to 34","Hawaii","Black","--","3,551","--"
-"Unintentional Firearm","30 to 34","Idaho","White","--","115,796","--"
-"Unintentional Firearm","30 to 34","Idaho","Black","--","1,751","--"
-"Unintentional Firearm","30 to 34","Illinois","White","--","624,807","--"
-"Unintentional Firearm","30 to 34","Illinois","Black","--","144,191","--"
-"Unintentional Firearm","30 to 34","Indiana","White","--","367,915","--"
-"Unintentional Firearm","30 to 34","Indiana","Black","--","56,145","--"
-"Unintentional Firearm","30 to 34","Iowa","White","--","171,785","--"
-"Unintentional Firearm","30 to 34","Iowa","Black","--","12,583","--"
-"Unintentional Firearm","30 to 34","Kansas","White","--","155,929","--"
-"Unintentional Firearm","30 to 34","Kansas","Black","--","14,363","--"
-"Unintentional Firearm","30 to 34","Kentucky","White","--","255,261","--"
-"Unintentional Firearm","30 to 34","Kentucky","Black","--","30,638","--"
-"Unintentional Firearm","30 to 34","Louisiana","White","--","191,021","--"
-"Unintentional Firearm","30 to 34","Louisiana","Black","--","110,877","--"
-"Unintentional Firearm","30 to 34","Maine","White","--","81,521","--"
-"Unintentional Firearm","30 to 34","Maine","Black","--","2,306","--"
-"Unintentional Firearm","30 to 34","Maryland","White","--","229,640","--"
-"Unintentional Firearm","30 to 34","Maryland","Black","--","147,207","--"
-"Unintentional Firearm","30 to 34","Massachusetts","White","--","370,231","--"
-"Unintentional Firearm","30 to 34","Massachusetts","Black","--","53,899","--"
-"Unintentional Firearm","30 to 34","Michigan","White","--","499,593","--"
-"Unintentional Firearm","30 to 34","Michigan","Black","--","115,573","--"
-"Unintentional Firearm","30 to 34","Minnesota","White","--","294,177","--"
-"Unintentional Firearm","30 to 34","Minnesota","Black","--","36,830","--"
-"Unintentional Firearm","30 to 34","Mississippi","White","--","106,229","--"
-"Unintentional Firearm","30 to 34","Mississippi","Black","--","78,329","--"
-"Unintentional Firearm","30 to 34","Missouri","White","--","329,572","--"
-"Unintentional Firearm","30 to 34","Missouri","Black","--","57,677","--"
-"Unintentional Firearm","30 to 34","Montana","White","--","64,718","--"
-"Unintentional Firearm","30 to 34","Montana","Black","--","725","--"
-"Unintentional Firearm","30 to 34","Nebraska","White","--","106,113","--"
-"Unintentional Firearm","30 to 34","Nebraska","Black","--","8,612","--"
-"Unintentional Firearm","30 to 34","Nevada","White","--","164,879","--"
-"Unintentional Firearm","30 to 34","Nevada","Black","--","31,678","--"
-"Unintentional Firearm","30 to 34","New Hampshire","White","--","83,513","--"
-"Unintentional Firearm","30 to 34","New Hampshire","Black","--","2,547","--"
-"Unintentional Firearm","30 to 34","New Jersey","White","--","404,148","--"
-"Unintentional Firearm","30 to 34","New Jersey","Black","--","111,781","--"
-"Unintentional Firearm","30 to 34","New Mexico","White","--","110,168","--"
-"Unintentional Firearm","30 to 34","New Mexico","Black","--","4,918","--"
-"Unintentional Firearm","30 to 34","New York","White","--","916,555","--"
-"Unintentional Firearm","30 to 34","New York","Black","--","280,002","--"
-"Unintentional Firearm","30 to 34","North Carolina","White","--","489,469","--"
-"Unintentional Firearm","30 to 34","North Carolina","Black","--","180,918","--"
-"Unintentional Firearm","30 to 34","North Dakota","White","--","46,292","--"
-"Unintentional Firearm","30 to 34","North Dakota","Black","--","3,208","--"
-"Unintentional Firearm","30 to 34","Ohio","White","--","614,360","--"
-"Unintentional Firearm","30 to 34","Ohio","Black","--","123,992","--"
-"Unintentional Firearm","30 to 34","Oklahoma","White","--","195,595","--"
-"Unintentional Firearm","30 to 34","Oklahoma","Black","--","25,714","--"
-"Unintentional Firearm","30 to 34","Oregon","White","--","258,032","--"
-"Unintentional Firearm","30 to 34","Oregon","Black","--","9,689","--"
-"Unintentional Firearm","30 to 34","Pennsylvania","White","--","671,746","--"
-"Unintentional Firearm","30 to 34","Pennsylvania","Black","--","131,867","--"
-"Unintentional Firearm","30 to 34","Rhode Island","White","--","62,877","--"
-"Unintentional Firearm","30 to 34","Rhode Island","Black","--","8,564","--"
-"Unintentional Firearm","30 to 34","South Carolina","White","--","232,397","--"
-"Unintentional Firearm","30 to 34","South Carolina","Black","--","103,145","--"
-"Unintentional Firearm","30 to 34","South Dakota","White","--","46,551","--"
-"Unintentional Firearm","30 to 34","South Dakota","Black","--","2,350","--"
-"Unintentional Firearm","30 to 34","Tennessee","White","--","373,704","--"
-"Unintentional Firearm","30 to 34","Tennessee","Black","--","95,251","--"
-"Unintentional Firearm","30 to 34","Texas","White","--","1,022,242","--"
-"Unintentional Firearm","30 to 34","Texas","Black","--","260,691","--"
-"Unintentional Firearm","30 to 34","Utah","White","--","211,442","--"
-"Unintentional Firearm","30 to 34","Utah","Black","--","5,406","--"
-"Unintentional Firearm","30 to 34","Vermont","White","--","36,896","--"
-"Unintentional Firearm","30 to 34","Vermont","Black","--","874","--"
-"Unintentional Firearm","30 to 34","Virginia","White","--","392,756","--"
-"Unintentional Firearm","30 to 34","Virginia","Black","--","133,142","--"
-"Unintentional Firearm","30 to 34","Washington","White","--","447,401","--"
-"Unintentional Firearm","30 to 34","Washington","Black","--","33,773","--"
-"Unintentional Firearm","30 to 34","West Virginia","White","--","99,132","--"
-"Unintentional Firearm","30 to 34","West Virginia","Black","--","5,323","--"
-"Unintentional Firearm","30 to 34","Wisconsin","White","--","301,697","--"
-"Unintentional Firearm","30 to 34","Wisconsin","Black","--","32,048","--"
-"Unintentional Firearm","30 to 34","Wyoming","White","--","34,581","--"
-"Unintentional Firearm","30 to 34","Wyoming","Black","--","662","--"
-"Unintentional Firearm","35 to 39","Alabama","White","--","210,362","--"
-"Unintentional Firearm","35 to 39","Alabama","Black","--","87,181","--"
-"Unintentional Firearm","35 to 39","Alaska","White","--","37,109","--"
-"Unintentional Firearm","35 to 39","Alaska","Black","--","2,130","--"
-"Unintentional Firearm","35 to 39","Arizona","White","--","374,400","--"
-"Unintentional Firearm","35 to 39","Arizona","Black","--","31,202","--"
-"Unintentional Firearm","35 to 39","Arkansas","White","--","148,742","--"
-"Unintentional Firearm","35 to 39","Arkansas","Black","--","30,615","--"
-"Unintentional Firearm","35 to 39","California","White","--","1,293,685","--"
-"Unintentional Firearm","35 to 39","California","Black","--","122,343","--"
-"Unintentional Firearm","35 to 39","Colorado","White","--","379,513","--"
-"Unintentional Firearm","35 to 39","Colorado","Black","--","22,296","--"
-"Unintentional Firearm","35 to 39","Connecticut","White","--","176,238","--"
-"Unintentional Firearm","35 to 39","Connecticut","Black","--","33,636","--"
-"Unintentional Firearm","35 to 39","Delaware","White","--","41,456","--"
-"Unintentional Firearm","35 to 39","Delaware","Black","--","15,689","--"
-"Unintentional Firearm","35 to 39","District of Columbia","White","--","35,137","--"
-"Unintentional Firearm","35 to 39","District of Columbia","Black","--","21,155","--"
-"Unintentional Firearm","35 to 39","Florida","White","--","749,761","--"
-"Unintentional Firearm","35 to 39","Florida","Black","--","194,011","--"
-"Unintentional Firearm","35 to 39","Georgia","White","--","413,541","--"
-"Unintentional Firearm","35 to 39","Georgia","Black","--","249,434","--"
-"Unintentional Firearm","35 to 39","Hawaii","White","--","28,516","--"
-"Unintentional Firearm","35 to 39","Hawaii","Black","--","2,993","--"
-"Unintentional Firearm","35 to 39","Idaho","White","--","116,759","--"
-"Unintentional Firearm","35 to 39","Idaho","Black","--","1,334","--"
-"Unintentional Firearm","35 to 39","Illinois","White","--","634,453","--"
-"Unintentional Firearm","35 to 39","Illinois","Black","--","119,091","--"
-"Unintentional Firearm","35 to 39","Indiana","White","--","356,673","--"
-"Unintentional Firearm","35 to 39","Indiana","Black","--","47,642","--"
-"Unintentional Firearm","35 to 39","Iowa","White","--","177,126","--"
-"Unintentional Firearm","35 to 39","Iowa","Black","--","10,766","--"
-"Unintentional Firearm","35 to 39","Kansas","White","--","162,654","--"
-"Unintentional Firearm","35 to 39","Kansas","Black","--","12,660","--"
-"Unintentional Firearm","35 to 39","Kentucky","White","--","240,004","--"
-"Unintentional Firearm","35 to 39","Kentucky","Black","--","25,285","--"
-"Unintentional Firearm","35 to 39","Louisiana","White","--","192,808","--"
-"Unintentional Firearm","35 to 39","Louisiana","Black","--","101,540","--"
-"Unintentional Firearm","35 to 39","Maine","White","--","80,230","--"
-"Unintentional Firearm","35 to 39","Maine","Black","--","2,114","--"
-"Unintentional Firearm","35 to 39","Maryland","White","--","240,651","--"
-"Unintentional Firearm","35 to 39","Maryland","Black","--","136,369","--"
-"Unintentional Firearm","35 to 39","Massachusetts","White","--","360,258","--"
-"Unintentional Firearm","35 to 39","Massachusetts","Black","--","48,015","--"
-"Unintentional Firearm","35 to 39","Michigan","White","--","477,516","--"
-"Unintentional Firearm","35 to 39","Michigan","Black","--","84,922","--"
-"Unintentional Firearm","35 to 39","Minnesota","White","--","315,090","--"
-"Unintentional Firearm","35 to 39","Minnesota","Black","--","35,488","--"
-"Unintentional Firearm","35 to 39","Mississippi","White","--","103,453","--"
-"Unintentional Firearm","35 to 39","Mississippi","Black","--","70,314","--"
-"Unintentional Firearm","35 to 39","Missouri","White","--","330,128","--"
-"Unintentional Firearm","35 to 39","Missouri","Black","--","47,281","--"
-"Unintentional Firearm","35 to 39","Montana","White","--","64,718","--"
-"Unintentional Firearm","35 to 39","Montana","Black","--","517","--"
-"Unintentional Firearm","35 to 39","Nebraska","White","--","113,460","--"
-"Unintentional Firearm","35 to 39","Nebraska","Black","--","7,344","--"
-"Unintentional Firearm","35 to 39","Nevada","White","--","159,735","--"
-"Unintentional Firearm","35 to 39","Nevada","Black","--","25,614","--"
-"Unintentional Firearm","35 to 39","New Hampshire","White","--","80,710","--"
-"Unintentional Firearm","35 to 39","New Hampshire","Black","--","2,184","--"
-"Unintentional Firearm","35 to 39","New Jersey","White","--","412,694","--"
-"Unintentional Firearm","35 to 39","New Jersey","Black","--","98,614","--"
-"Unintentional Firearm","35 to 39","New Mexico","White","--","111,233","--"
-"Unintentional Firearm","35 to 39","New Mexico","Black","--","4,248","--"
-"Unintentional Firearm","35 to 39","New York","White","--","878,009","--"
-"Unintentional Firearm","35 to 39","New York","Black","--","235,830","--"
-"Unintentional Firearm","35 to 39","North Carolina","White","--","466,483","--"
-"Unintentional Firearm","35 to 39","North Carolina","Black","--","153,597","--"
-"Unintentional Firearm","35 to 39","North Dakota","White","--","45,397","--"
-"Unintentional Firearm","35 to 39","North Dakota","Black","--","2,707","--"
-"Unintentional Firearm","35 to 39","Ohio","White","--","591,610","--"
-"Unintentional Firearm","35 to 39","Ohio","Black","--","101,353","--"
-"Unintentional Firearm","35 to 39","Oklahoma","White","--","197,004","--"
-"Unintentional Firearm","35 to 39","Oklahoma","Black","--","21,974","--"
-"Unintentional Firearm","35 to 39","Oregon","White","--","253,916","--"
-"Unintentional Firearm","35 to 39","Oregon","Black","--","8,196","--"
-"Unintentional Firearm","35 to 39","Pennsylvania","White","--","661,011","--"
-"Unintentional Firearm","35 to 39","Pennsylvania","Black","--","106,037","--"
-"Unintentional Firearm","35 to 39","Rhode Island","White","--","57,478","--"
-"Unintentional Firearm","35 to 39","Rhode Island","Black","--","7,057","--"
-"Unintentional Firearm","35 to 39","South Carolina","White","--","223,851","--"
-"Unintentional Firearm","35 to 39","South Carolina","Black","--","88,168","--"
-"Unintentional Firearm","35 to 39","South Dakota","White","--","48,643","--"
-"Unintentional Firearm","35 to 39","South Dakota","Black","--","2,389","--"
-"Unintentional Firearm","35 to 39","Tennessee","White","--","349,232","--"
-"Unintentional Firearm","35 to 39","Tennessee","Black","--","77,639","--"
-"Unintentional Firearm","35 to 39","Texas","White","--","1,006,051","--"
-"Unintentional Firearm","35 to 39","Texas","Black","--","231,449","--"
-"Unintentional Firearm","35 to 39","Utah","White","--","203,249","--"
-"Unintentional Firearm","35 to 39","Utah","Black","--","3,902","--"
-"Unintentional Firearm","35 to 39","Vermont","White","--","37,412","--"
-"Unintentional Firearm","35 to 39","Vermont","Black","--","770","--"
-"Unintentional Firearm","35 to 39","Virginia","White","--","399,910","--"
-"Unintentional Firearm","35 to 39","Virginia","Black","--","120,537","--"
-"Unintentional Firearm","35 to 39","Washington","White","--","430,046","--"
-"Unintentional Firearm","35 to 39","Washington","Black","--","30,986","--"
-"Unintentional Firearm","35 to 39","West Virginia","White","--","93,540","--"
-"Unintentional Firearm","35 to 39","West Virginia","Black","--","4,615","--"
-"Unintentional Firearm","35 to 39","Wisconsin","White","--","318,452","--"
-"Unintentional Firearm","35 to 39","Wisconsin","Black","--","25,926","--"
-"Unintentional Firearm","35 to 39","Wyoming","White","--","36,601","--"
-"Unintentional Firearm","35 to 39","Wyoming","Black","--","554","--"
-"Unintentional Firearm","40 to 44","Alabama","White","--","210,772","--"
-"Unintentional Firearm","40 to 44","Alabama","Black","--","86,946","--"
-"Unintentional Firearm","40 to 44","Alaska","White","--","32,773","--"
-"Unintentional Firearm","40 to 44","Alaska","Black","--","1,791","--"
-"Unintentional Firearm","40 to 44","Arizona","White","--","365,823","--"
-"Unintentional Firearm","40 to 44","Arizona","Black","--","27,909","--"
-"Unintentional Firearm","40 to 44","Arkansas","White","--","150,009","--"
-"Unintentional Firearm","40 to 44","Arkansas","Black","--","29,998","--"
-"Unintentional Firearm","40 to 44","California","White","--","1,213,797","--"
-"Unintentional Firearm","40 to 44","California","Black","--","109,494","--"
-"Unintentional Firearm","40 to 44","Colorado","White","--","349,810","--"
-"Unintentional Firearm","40 to 44","Colorado","Black","--","19,637","--"
-"Unintentional Firearm","40 to 44","Connecticut","White","--","170,549","--"
-"Unintentional Firearm","40 to 44","Connecticut","Black","--","32,361","--"
-"Unintentional Firearm","40 to 44","Delaware","White","--","39,338","--"
-"Unintentional Firearm","40 to 44","Delaware","Black","--","15,322","--"
-"Unintentional Firearm","40 to 44","District of Columbia","White","--","25,106","--"
-"Unintentional Firearm","40 to 44","District of Columbia","Black","--","18,856","--"
-"Unintentional Firearm","40 to 44","Florida","White","--","740,765","--"
-"Unintentional Firearm","40 to 44","Florida","Black","--","182,808","--"
-"Unintentional Firearm","40 to 44","Georgia","White","--","410,462","--"
-"Unintentional Firearm","40 to 44","Georgia","Black","--","246,676","--"
-"Unintentional Firearm","40 to 44","Hawaii","White","--","25,021","--"
-"Unintentional Firearm","40 to 44","Hawaii","Black","--","2,302","--"
-"Unintentional Firearm","40 to 44","Idaho","White","--","117,558","--"
-"Unintentional Firearm","40 to 44","Idaho","Black","--","1,230","--"
-"Unintentional Firearm","40 to 44","Illinois","White","--","628,418","--"
-"Unintentional Firearm","40 to 44","Illinois","Black","--","115,636","--"
-"Unintentional Firearm","40 to 44","Indiana","White","--","360,585","--"
-"Unintentional Firearm","40 to 44","Indiana","Black","--","45,374","--"
-"Unintentional Firearm","40 to 44","Iowa","White","--","181,479","--"
-"Unintentional Firearm","40 to 44","Iowa","Black","--","9,638","--"
-"Unintentional Firearm","40 to 44","Kansas","White","--","160,215","--"
-"Unintentional Firearm","40 to 44","Kansas","Black","--","11,778","--"
-"Unintentional Firearm","40 to 44","Kentucky","White","--","247,881","--"
-"Unintentional Firearm","40 to 44","Kentucky","Black","--","25,210","--"
-"Unintentional Firearm","40 to 44","Louisiana","White","--","187,793","--"
-"Unintentional Firearm","40 to 44","Louisiana","Black","--","95,351","--"
-"Unintentional Firearm","40 to 44","Maine","White","--","77,317","--"
-"Unintentional Firearm","40 to 44","Maine","Black","--","1,777","--"
-"Unintentional Firearm","40 to 44","Maryland","White","--","228,824","--"
-"Unintentional Firearm","40 to 44","Maryland","Black","--","131,178","--"
-"Unintentional Firearm","40 to 44","Massachusetts","White","--","334,743","--"
-"Unintentional Firearm","40 to 44","Massachusetts","Black","--","43,772","--"
-"Unintentional Firearm","40 to 44","Michigan","White","--","477,344","--"
-"Unintentional Firearm","40 to 44","Michigan","Black","--","81,842","--"
-"Unintentional Firearm","40 to 44","Minnesota","White","--","313,110","--"
-"Unintentional Firearm","40 to 44","Minnesota","Black","--","30,082","--"
-"Unintentional Firearm","40 to 44","Mississippi","White","--","105,833","--"
-"Unintentional Firearm","40 to 44","Mississippi","Black","--","72,580","--"
-"Unintentional Firearm","40 to 44","Missouri","White","--","323,601","--"
-"Unintentional Firearm","40 to 44","Missouri","Black","--","44,866","--"
-"Unintentional Firearm","40 to 44","Montana","White","--","64,191","--"
-"Unintentional Firearm","40 to 44","Montana","Black","--","474","--"
-"Unintentional Firearm","40 to 44","Nebraska","White","--","111,287","--"
-"Unintentional Firearm","40 to 44","Nebraska","Black","--","7,212","--"
-"Unintentional Firearm","40 to 44","Nevada","White","--","152,947","--"
-"Unintentional Firearm","40 to 44","Nevada","Black","--","22,933","--"
-"Unintentional Firearm","40 to 44","New Hampshire","White","--","76,091","--"
-"Unintentional Firearm","40 to 44","New Hampshire","Black","--","1,918","--"
-"Unintentional Firearm","40 to 44","New Jersey","White","--","409,443","--"
-"Unintentional Firearm","40 to 44","New Jersey","Black","--","95,898","--"
-"Unintentional Firearm","40 to 44","New Mexico","White","--","105,938","--"
-"Unintentional Firearm","40 to 44","New Mexico","Black","--","3,661","--"
-"Unintentional Firearm","40 to 44","New York","White","--","822,923","--"
-"Unintentional Firearm","40 to 44","New York","Black","--","221,353","--"
-"Unintentional Firearm","40 to 44","North Carolina","White","--","462,870","--"
-"Unintentional Firearm","40 to 44","North Carolina","Black","--","149,385","--"
-"Unintentional Firearm","40 to 44","North Dakota","White","--","41,690","--"
-"Unintentional Firearm","40 to 44","North Dakota","Black","--","2,026","--"
-"Unintentional Firearm","40 to 44","Ohio","White","--","587,119","--"
-"Unintentional Firearm","40 to 44","Ohio","Black","--","95,008","--"
-"Unintentional Firearm","40 to 44","Oklahoma","White","--","191,885","--"
-"Unintentional Firearm","40 to 44","Oklahoma","Black","--","20,539","--"
-"Unintentional Firearm","40 to 44","Oregon","White","--","250,165","--"
-"Unintentional Firearm","40 to 44","Oregon","Black","--","7,403","--"
-"Unintentional Firearm","40 to 44","Pennsylvania","White","--","628,906","--"
-"Unintentional Firearm","40 to 44","Pennsylvania","Black","--","96,925","--"
-"Unintentional Firearm","40 to 44","Rhode Island","White","--","54,343","--"
-"Unintentional Firearm","40 to 44","Rhode Island","Black","--","6,762","--"
-"Unintentional Firearm","40 to 44","South Carolina","White","--","220,831","--"
-"Unintentional Firearm","40 to 44","South Carolina","Black","--","86,318","--"
-"Unintentional Firearm","40 to 44","South Dakota","White","--","48,134","--"
-"Unintentional Firearm","40 to 44","South Dakota","Black","--","1,724","--"
-"Unintentional Firearm","40 to 44","Tennessee","White","--","346,131","--"
-"Unintentional Firearm","40 to 44","Tennessee","Black","--","75,108","--"
-"Unintentional Firearm","40 to 44","Texas","White","--","954,951","--"
-"Unintentional Firearm","40 to 44","Texas","Black","--","217,541","--"
-"Unintentional Firearm","40 to 44","Utah","White","--","215,984","--"
-"Unintentional Firearm","40 to 44","Utah","Black","--","3,430","--"
-"Unintentional Firearm","40 to 44","Vermont","White","--","36,638","--"
-"Unintentional Firearm","40 to 44","Vermont","Black","--","700","--"
-"Unintentional Firearm","40 to 44","Virginia","White","--","386,386","--"
-"Unintentional Firearm","40 to 44","Virginia","Black","--","114,657","--"
-"Unintentional Firearm","40 to 44","Washington","White","--","403,069","--"
-"Unintentional Firearm","40 to 44","Washington","Black","--","27,082","--"
-"Unintentional Firearm","40 to 44","West Virginia","White","--","102,094","--"
-"Unintentional Firearm","40 to 44","West Virginia","Black","--","4,386","--"
-"Unintentional Firearm","40 to 44","Wisconsin","White","--","322,977","--"
-"Unintentional Firearm","40 to 44","Wisconsin","Black","--","24,109","--"
-"Unintentional Firearm","40 to 44","Wyoming","White","--","35,587","--"
-"Unintentional Firearm","40 to 44","Wyoming","Black","--","493","--"
-"Unintentional Firearm","45 to 49","Alabama","White","--","205,824","--"
-"Unintentional Firearm","45 to 49","Alabama","Black","--","78,627","--"
-"Unintentional Firearm","45 to 49","Alaska","White","--","27,719","--"
-"Unintentional Firearm","45 to 49","Alaska","Black","--","1,523","--"
-"Unintentional Firearm","45 to 49","Arizona","White","--","341,505","--"
-"Unintentional Firearm","45 to 49","Arizona","Black","--","24,017","--"
-"Unintentional Firearm","45 to 49","Arkansas","White","--","140,195","--"
-"Unintentional Firearm","45 to 49","Arkansas","Black","--","26,568","--"
-"Unintentional Firearm","45 to 49","California","White","--","1,126,310","--"
-"Unintentional Firearm","45 to 49","California","Black","--","97,851","--"
-"Unintentional Firearm","45 to 49","Colorado","White","--","306,377","--"
-"Unintentional Firearm","45 to 49","Colorado","Black","--","16,599","--"
-"Unintentional Firearm","45 to 49","Connecticut","White","--","161,801","--"
-"Unintentional Firearm","45 to 49","Connecticut","Black","--","28,866","--"
-"Unintentional Firearm","45 to 49","Delaware","White","--","35,667","--"
-"Unintentional Firearm","45 to 49","Delaware","Black","--","13,675","--"
-"Unintentional Firearm","45 to 49","District of Columbia","White","--","17,467","--"
-"Unintentional Firearm","45 to 49","District of Columbia","Black","--","15,755","--"
-"Unintentional Firearm","45 to 49","Florida","White","--","725,702","--"
-"Unintentional Firearm","45 to 49","Florida","Black","--","167,035","--"
-"Unintentional Firearm","45 to 49","Georgia","White","--","397,207","--"
-"Unintentional Firearm","45 to 49","Georgia","Black","--","224,111","--"
-"Unintentional Firearm","45 to 49","Hawaii","White","--","20,011","--"
-"Unintentional Firearm","45 to 49","Hawaii","Black","--","1,725","--"
-"Unintentional Firearm","45 to 49","Idaho","White","--","102,986","--"
-"Unintentional Firearm","45 to 49","Idaho","Black","--","909","--"
-"Unintentional Firearm","45 to 49","Illinois","White","--","580,246","--"
-"Unintentional Firearm","45 to 49","Illinois","Black","--","106,348","--"
-"Unintentional Firearm","45 to 49","Indiana","White","--","336,070","--"
-"Unintentional Firearm","45 to 49","Indiana","Black","--","40,054","--"
-"Unintentional Firearm","45 to 49","Iowa","White","--","158,770","--"
-"Unintentional Firearm","45 to 49","Iowa","Black","--","7,406","--"
-"Unintentional Firearm","45 to 49","Kansas","White","--","140,055","--"
-"Unintentional Firearm","45 to 49","Kansas","Black","--","10,062","--"
-"Unintentional Firearm","45 to 49","Kentucky","White","--","236,454","--"
-"Unintentional Firearm","45 to 49","Kentucky","Black","--","22,033","--"
-"Unintentional Firearm","45 to 49","Louisiana","White","--","165,238","--"
-"Unintentional Firearm","45 to 49","Louisiana","Black","--","80,175","--"
-"Unintentional Firearm","45 to 49","Maine","White","--","73,170","--"
-"Unintentional Firearm","45 to 49","Maine","Black","--","1,469","--"
-"Unintentional Firearm","45 to 49","Maryland","White","--","203,756","--"
-"Unintentional Firearm","45 to 49","Maryland","Black","--","119,111","--"
-"Unintentional Firearm","45 to 49","Massachusetts","White","--","315,354","--"
-"Unintentional Firearm","45 to 49","Massachusetts","Black","--","39,510","--"
-"Unintentional Firearm","45 to 49","Michigan","White","--","442,585","--"
-"Unintentional Firearm","45 to 49","Michigan","Black","--","81,299","--"
-"Unintentional Firearm","45 to 49","Minnesota","White","--","266,857","--"
-"Unintentional Firearm","45 to 49","Minnesota","Black","--","24,278","--"
-"Unintentional Firearm","45 to 49","Mississippi","White","--","100,857","--"
-"Unintentional Firearm","45 to 49","Mississippi","Black","--","64,611","--"
-"Unintentional Firearm","45 to 49","Missouri","White","--","288,437","--"
-"Unintentional Firearm","45 to 49","Missouri","Black","--","39,558","--"
-"Unintentional Firearm","45 to 49","Montana","White","--","55,056","--"
-"Unintentional Firearm","45 to 49","Montana","Black","--","351","--"
-"Unintentional Firearm","45 to 49","Nebraska","White","--","96,335","--"
-"Unintentional Firearm","45 to 49","Nebraska","Black","--","5,653","--"
-"Unintentional Firearm","45 to 49","Nevada","White","--","140,638","--"
-"Unintentional Firearm","45 to 49","Nevada","Black","--","19,679","--"
-"Unintentional Firearm","45 to 49","New Hampshire","White","--","71,477","--"
-"Unintentional Firearm","45 to 49","New Hampshire","Black","--","1,994","--"
-"Unintentional Firearm","45 to 49","New Jersey","White","--","391,916","--"
-"Unintentional Firearm","45 to 49","New Jersey","Black","--","89,125","--"
-"Unintentional Firearm","45 to 49","New Mexico","White","--","94,307","--"
-"Unintentional Firearm","45 to 49","New Mexico","Black","--","3,320","--"
-"Unintentional Firearm","45 to 49","New York","White","--","768,635","--"
-"Unintentional Firearm","45 to 49","New York","Black","--","206,239","--"
-"Unintentional Firearm","45 to 49","North Carolina","White","--","452,835","--"
-"Unintentional Firearm","45 to 49","North Carolina","Black","--","141,431","--"
-"Unintentional Firearm","45 to 49","North Dakota","White","--","34,233","--"
-"Unintentional Firearm","45 to 49","North Dakota","Black","--","1,345","--"
-"Unintentional Firearm","45 to 49","Ohio","White","--","546,108","--"
-"Unintentional Firearm","45 to 49","Ohio","Black","--","84,086","--"
-"Unintentional Firearm","45 to 49","Oklahoma","White","--","170,901","--"
-"Unintentional Firearm","45 to 49","Oklahoma","Black","--","17,298","--"
-"Unintentional Firearm","45 to 49","Oregon","White","--","222,212","--"
-"Unintentional Firearm","45 to 49","Oregon","Black","--","6,117","--"
-"Unintentional Firearm","45 to 49","Pennsylvania","White","--","584,822","--"
-"Unintentional Firearm","45 to 49","Pennsylvania","Black","--","84,961","--"
-"Unintentional Firearm","45 to 49","Rhode Island","White","--","50,181","--"
-"Unintentional Firearm","45 to 49","Rhode Island","Black","--","5,682","--"
-"Unintentional Firearm","45 to 49","South Carolina","White","--","211,211","--"
-"Unintentional Firearm","45 to 49","South Carolina","Black","--","78,354","--"
-"Unintentional Firearm","45 to 49","South Dakota","White","--","41,160","--"
-"Unintentional Firearm","45 to 49","South Dakota","Black","--","1,125","--"
-"Unintentional Firearm","45 to 49","Tennessee","White","--","331,755","--"
-"Unintentional Firearm","45 to 49","Tennessee","Black","--","67,405","--"
-"Unintentional Firearm","45 to 49","Texas","White","--","874,019","--"
-"Unintentional Firearm","45 to 49","Texas","Black","--","187,580","--"
-"Unintentional Firearm","45 to 49","Utah","White","--","181,177","--"
-"Unintentional Firearm","45 to 49","Utah","Black","--","2,714","--"
-"Unintentional Firearm","45 to 49","Vermont","White","--","33,622","--"
-"Unintentional Firearm","45 to 49","Vermont","Black","--","557","--"
-"Unintentional Firearm","45 to 49","Virginia","White","--","354,190","--"
-"Unintentional Firearm","45 to 49","Virginia","Black","--","100,195","--"
-"Unintentional Firearm","45 to 49","Washington","White","--","352,332","--"
-"Unintentional Firearm","45 to 49","Washington","Black","--","21,870","--"
-"Unintentional Firearm","45 to 49","West Virginia","White","--","100,664","--"
-"Unintentional Firearm","45 to 49","West Virginia","Black","--","3,771","--"
-"Unintentional Firearm","45 to 49","Wisconsin","White","--","289,875","--"
-"Unintentional Firearm","45 to 49","Wisconsin","Black","--","20,518","--"
-"Unintentional Firearm","45 to 49","Wyoming","White","--","30,461","--"
-"Unintentional Firearm","45 to 49","Wyoming","Black","--","385","--"
-"Unintentional Firearm","50 to 54","Alabama","White","--","230,160","--"
-"Unintentional Firearm","50 to 54","Alabama","Black","--","79,545","--"
-"Unintentional Firearm","50 to 54","Alaska","White","--","29,697","--"
-"Unintentional Firearm","50 to 54","Alaska","Black","--","1,458","--"
-"Unintentional Firearm","50 to 54","Arizona","White","--","362,586","--"
-"Unintentional Firearm","50 to 54","Arizona","Black","--","22,930","--"
-"Unintentional Firearm","50 to 54","Arkansas","White","--","149,736","--"
-"Unintentional Firearm","50 to 54","Arkansas","Black","--","25,758","--"
-"Unintentional Firearm","50 to 54","California","White","--","1,196,778","--"
-"Unintentional Firearm","50 to 54","California","Black","--","104,593","--"
-"Unintentional Firearm","50 to 54","Colorado","White","--","313,108","--"
-"Unintentional Firearm","50 to 54","Colorado","Black","--","15,986","--"
-"Unintentional Firearm","50 to 54","Connecticut","White","--","193,941","--"
-"Unintentional Firearm","50 to 54","Connecticut","Black","--","29,910","--"
-"Unintentional Firearm","50 to 54","Delaware","White","--","42,249","--"
-"Unintentional Firearm","50 to 54","Delaware","Black","--","15,385","--"
-"Unintentional Firearm","50 to 54","District of Columbia","White","--","15,556","--"
-"Unintentional Firearm","50 to 54","District of Columbia","Black","--","16,853","--"
-"Unintentional Firearm","50 to 54","Florida","White","--","797,159","--"
-"Unintentional Firearm","50 to 54","Florida","Black","--","163,423","--"
-"Unintentional Firearm","50 to 54","Georgia","White","--","440,630","--"
-"Unintentional Firearm","50 to 54","Georgia","Black","--","228,504","--"
-"Unintentional Firearm","50 to 54","Hawaii","White","--","20,450","--"
-"Unintentional Firearm","50 to 54","Hawaii","Black","--","1,610","--"
-"Unintentional Firearm","50 to 54","Idaho","White","--","102,571","--"
-"Unintentional Firearm","50 to 54","Idaho","Black","--","811","--"
-"Unintentional Firearm","50 to 54","Illinois","White","--","618,434","--"
-"Unintentional Firearm","50 to 54","Illinois","Black","--","112,423","--"
-"Unintentional Firearm","50 to 54","Indiana","White","--","363,088","--"
-"Unintentional Firearm","50 to 54","Indiana","Black","--","39,279","--"
-"Unintentional Firearm","50 to 54","Iowa","White","--","170,256","--"
-"Unintentional Firearm","50 to 54","Iowa","Black","--","6,451","--"
-"Unintentional Firearm","50 to 54","Kansas","White","--","145,023","--"
-"Unintentional Firearm","50 to 54","Kansas","Black","--","9,442","--"
-"Unintentional Firearm","50 to 54","Kentucky","White","--","255,821","--"
-"Unintentional Firearm","50 to 54","Kentucky","Black","--","22,112","--"
-"Unintentional Firearm","50 to 54","Louisiana","White","--","178,722","--"
-"Unintentional Firearm","50 to 54","Louisiana","Black","--","79,954","--"
-"Unintentional Firearm","50 to 54","Maine","White","--","86,303","--"
-"Unintentional Firearm","50 to 54","Maine","Black","--","1,313","--"
-"Unintentional Firearm","50 to 54","Maryland","White","--","230,643","--"
-"Unintentional Firearm","50 to 54","Maryland","Black","--","132,217","--"
-"Unintentional Firearm","50 to 54","Massachusetts","White","--","370,307","--"
-"Unintentional Firearm","50 to 54","Massachusetts","Black","--","38,906","--"
-"Unintentional Firearm","50 to 54","Michigan","White","--","511,545","--"
-"Unintentional Firearm","50 to 54","Michigan","Black","--","88,964","--"
-"Unintentional Firearm","50 to 54","Minnesota","White","--","293,405","--"
-"Unintentional Firearm","50 to 54","Minnesota","Black","--","21,647","--"
-"Unintentional Firearm","50 to 54","Mississippi","White","--","111,490","--"
-"Unintentional Firearm","50 to 54","Mississippi","Black","--","64,850","--"
-"Unintentional Firearm","50 to 54","Missouri","White","--","312,767","--"
-"Unintentional Firearm","50 to 54","Missouri","Black","--","40,921","--"
-"Unintentional Firearm","50 to 54","Montana","White","--","56,998","--"
-"Unintentional Firearm","50 to 54","Montana","Black","--","302","--"
-"Unintentional Firearm","50 to 54","Nebraska","White","--","98,455","--"
-"Unintentional Firearm","50 to 54","Nebraska","Black","--","5,237","--"
-"Unintentional Firearm","50 to 54","Nevada","White","--","152,480","--"
-"Unintentional Firearm","50 to 54","Nevada","Black","--","19,693","--"
-"Unintentional Firearm","50 to 54","New Hampshire","White","--","88,442","--"
-"Unintentional Firearm","50 to 54","New Hampshire","Black","--","1,787","--"
-"Unintentional Firearm","50 to 54","New Jersey","White","--","445,025","--"
-"Unintentional Firearm","50 to 54","New Jersey","Black","--","94,105","--"
-"Unintentional Firearm","50 to 54","New Mexico","White","--","98,596","--"
-"Unintentional Firearm","50 to 54","New Mexico","Black","--","2,885","--"
-"Unintentional Firearm","50 to 54","New York","White","--","875,135","--"
-"Unintentional Firearm","50 to 54","New York","Black","--","220,216","--"
-"Unintentional Firearm","50 to 54","North Carolina","White","--","509,044","--"
-"Unintentional Firearm","50 to 54","North Carolina","Black","--","149,036","--"
-"Unintentional Firearm","50 to 54","North Dakota","White","--","35,160","--"
-"Unintentional Firearm","50 to 54","North Dakota","Black","--","1,031","--"
-"Unintentional Firearm","50 to 54","Ohio","White","--","617,117","--"
-"Unintentional Firearm","50 to 54","Ohio","Black","--","89,785","--"
-"Unintentional Firearm","50 to 54","Oklahoma","White","--","178,052","--"
-"Unintentional Firearm","50 to 54","Oklahoma","Black","--","16,942","--"
-"Unintentional Firearm","50 to 54","Oregon","White","--","227,838","--"
-"Unintentional Firearm","50 to 54","Oregon","Black","--","5,577","--"
-"Unintentional Firearm","50 to 54","Pennsylvania","White","--","678,924","--"
-"Unintentional Firearm","50 to 54","Pennsylvania","Black","--","90,890","--"
-"Unintentional Firearm","50 to 54","Rhode Island","White","--","59,898","--"
-"Unintentional Firearm","50 to 54","Rhode Island","Black","--","5,724","--"
-"Unintentional Firearm","50 to 54","South Carolina","White","--","236,806","--"
-"Unintentional Firearm","50 to 54","South Carolina","Black","--","81,913","--"
-"Unintentional Firearm","50 to 54","South Dakota","White","--","42,947","--"
-"Unintentional Firearm","50 to 54","South Dakota","Black","--","946","--"
-"Unintentional Firearm","50 to 54","Tennessee","White","--","367,389","--"
-"Unintentional Firearm","50 to 54","Tennessee","Black","--","69,961","--"
-"Unintentional Firearm","50 to 54","Texas","White","--","862,888","--"
-"Unintentional Firearm","50 to 54","Texas","Black","--","180,409","--"
-"Unintentional Firearm","50 to 54","Utah","White","--","157,258","--"
-"Unintentional Firearm","50 to 54","Utah","Black","--","2,519","--"
-"Unintentional Firearm","50 to 54","Vermont","White","--","38,919","--"
-"Unintentional Firearm","50 to 54","Vermont","Black","--","540","--"
-"Unintentional Firearm","50 to 54","Virginia","White","--","388,625","--"
-"Unintentional Firearm","50 to 54","Virginia","Black","--","106,634","--"
-"Unintentional Firearm","50 to 54","Washington","White","--","377,009","--"
-"Unintentional Firearm","50 to 54","Washington","Black","--","20,901","--"
-"Unintentional Firearm","50 to 54","West Virginia","White","--","109,466","--"
-"Unintentional Firearm","50 to 54","West Virginia","Black","--","3,809","--"
-"Unintentional Firearm","50 to 54","Wisconsin","White","--","323,134","--"
-"Unintentional Firearm","50 to 54","Wisconsin","Black","--","20,808","--"
-"Unintentional Firearm","50 to 54","Wyoming","White","--","30,535","--"
-"Unintentional Firearm","50 to 54","Wyoming","Black","--","329","--"
-"Unintentional Firearm","55 to 59","Alabama","White","--","234,725","--"
-"Unintentional Firearm","55 to 59","Alabama","Black","--","80,890","--"
-"Unintentional Firearm","55 to 59","Alaska","White","--","30,238","--"
-"Unintentional Firearm","55 to 59","Alaska","Black","--","1,302","--"
-"Unintentional Firearm","55 to 59","Arizona","White","--","365,531","--"
-"Unintentional Firearm","55 to 59","Arizona","Black","--","20,578","--"
-"Unintentional Firearm","55 to 59","Arkansas","White","--","153,296","--"
-"Unintentional Firearm","55 to 59","Arkansas","Black","--","26,321","--"
-"Unintentional Firearm","55 to 59","California","White","--","1,171,798","--"
-"Unintentional Firearm","55 to 59","California","Black","--","106,400","--"
-"Unintentional Firearm","55 to 59","Colorado","White","--","298,759","--"
-"Unintentional Firearm","55 to 59","Colorado","Black","--","14,192","--"
-"Unintentional Firearm","55 to 59","Connecticut","White","--","215,797","--"
-"Unintentional Firearm","55 to 59","Connecticut","Black","--","29,326","--"
-"Unintentional Firearm","55 to 59","Delaware","White","--","49,603","--"
-"Unintentional Firearm","55 to 59","Delaware","Black","--","15,814","--"
-"Unintentional Firearm","55 to 59","District of Columbia","White","--","13,226","--"
-"Unintentional Firearm","55 to 59","District of Columbia","Black","--","17,696","--"
-"Unintentional Firearm","55 to 59","Florida","White","--","840,402","--"
-"Unintentional Firearm","55 to 59","Florida","Black","--","160,333","--"
-"Unintentional Firearm","55 to 59","Georgia","White","--","429,177","--"
-"Unintentional Firearm","55 to 59","Georgia","Black","--","221,167","--"
-"Unintentional Firearm","55 to 59","Hawaii","White","--","21,573","--"
-"Unintentional Firearm","55 to 59","Hawaii","Black","--","1,405","--"
-"Unintentional Firearm","55 to 59","Idaho","White","--","102,715","--"
-"Unintentional Firearm","55 to 59","Idaho","Black","--","716","--"
-"Unintentional Firearm","55 to 59","Illinois","White","--","634,131","--"
-"Unintentional Firearm","55 to 59","Illinois","Black","--","109,938","--"
-"Unintentional Firearm","55 to 59","Indiana","White","--","373,185","--"
-"Unintentional Firearm","55 to 59","Indiana","Black","--","36,342","--"
-"Unintentional Firearm","55 to 59","Iowa","White","--","181,684","--"
-"Unintentional Firearm","55 to 59","Iowa","Black","--","5,338","--"
-"Unintentional Firearm","55 to 59","Kansas","White","--","152,533","--"
-"Unintentional Firearm","55 to 59","Kansas","Black","--","9,457","--"
-"Unintentional Firearm","55 to 59","Kentucky","White","--","263,286","--"
-"Unintentional Firearm","55 to 59","Kentucky","Black","--","21,934","--"
-"Unintentional Firearm","55 to 59","Louisiana","White","--","188,289","--"
-"Unintentional Firearm","55 to 59","Louisiana","Black","--","85,950","--"
-"Unintentional Firearm","55 to 59","Maine","White","--","96,539","--"
-"Unintentional Firearm","55 to 59","Maine","Black","--","1,167","--"
-"Unintentional Firearm","55 to 59","Maryland","White","--","249,981","--"
-"Unintentional Firearm","55 to 59","Maryland","Black","--","134,593","--"
-"Unintentional Firearm","55 to 59","Massachusetts","White","--","405,391","--"
-"Unintentional Firearm","55 to 59","Massachusetts","Black","--","37,882","--"
-"Unintentional Firearm","55 to 59","Michigan","White","--","552,060","--"
-"Unintentional Firearm","55 to 59","Michigan","Black","--","81,712","--"
-"Unintentional Firearm","55 to 59","Minnesota","White","--","321,151","--"
-"Unintentional Firearm","55 to 59","Minnesota","Black","--","18,201","--"
-"Unintentional Firearm","55 to 59","Mississippi","White","--","113,579","--"
-"Unintentional Firearm","55 to 59","Mississippi","Black","--","65,346","--"
-"Unintentional Firearm","55 to 59","Missouri","White","--","332,936","--"
-"Unintentional Firearm","55 to 59","Missouri","Black","--","41,140","--"
-"Unintentional Firearm","55 to 59","Montana","White","--","61,258","--"
-"Unintentional Firearm","55 to 59","Montana","Black","--","288","--"
-"Unintentional Firearm","55 to 59","Nebraska","White","--","103,089","--"
-"Unintentional Firearm","55 to 59","Nebraska","Black","--","4,975","--"
-"Unintentional Firearm","55 to 59","Nevada","White","--","149,568","--"
-"Unintentional Firearm","55 to 59","Nevada","Black","--","18,444","--"
-"Unintentional Firearm","55 to 59","New Hampshire","White","--","99,991","--"
-"Unintentional Firearm","55 to 59","New Hampshire","Black","--","1,627","--"
-"Unintentional Firearm","55 to 59","New Jersey","White","--","476,056","--"
-"Unintentional Firearm","55 to 59","New Jersey","Black","--","92,532","--"
-"Unintentional Firearm","55 to 59","New Mexico","White","--","104,282","--"
-"Unintentional Firearm","55 to 59","New Mexico","Black","--","3,054","--"
-"Unintentional Firearm","55 to 59","New York","White","--","933,897","--"
-"Unintentional Firearm","55 to 59","New York","Black","--","231,500","--"
-"Unintentional Firearm","55 to 59","North Carolina","White","--","505,897","--"
-"Unintentional Firearm","55 to 59","North Carolina","Black","--","146,973","--"
-"Unintentional Firearm","55 to 59","North Dakota","White","--","38,376","--"
-"Unintentional Firearm","55 to 59","North Dakota","Black","--","866","--"
-"Unintentional Firearm","55 to 59","Ohio","White","--","643,289","--"
-"Unintentional Firearm","55 to 59","Ohio","Black","--","85,533","--"
-"Unintentional Firearm","55 to 59","Oklahoma","White","--","181,020","--"
-"Unintentional Firearm","55 to 59","Oklahoma","Black","--","16,816","--"
-"Unintentional Firearm","55 to 59","Oregon","White","--","220,261","--"
-"Unintentional Firearm","55 to 59","Oregon","Black","--","5,098","--"
-"Unintentional Firearm","55 to 59","Pennsylvania","White","--","735,977","--"
-"Unintentional Firearm","55 to 59","Pennsylvania","Black","--","89,822","--"
-"Unintentional Firearm","55 to 59","Rhode Island","White","--","66,740","--"
-"Unintentional Firearm","55 to 59","Rhode Island","Black","--","5,330","--"
-"Unintentional Firearm","55 to 59","South Carolina","White","--","246,648","--"
-"Unintentional Firearm","55 to 59","South Carolina","Black","--","86,342","--"
-"Unintentional Firearm","55 to 59","South Dakota","White","--","48,595","--"
-"Unintentional Firearm","55 to 59","South Dakota","Black","--","745","--"
-"Unintentional Firearm","55 to 59","Tennessee","White","--","372,016","--"
-"Unintentional Firearm","55 to 59","Tennessee","Black","--","68,806","--"
-"Unintentional Firearm","55 to 59","Texas","White","--","786,434","--"
-"Unintentional Firearm","55 to 59","Texas","Black","--","164,585","--"
-"Unintentional Firearm","55 to 59","Utah","White","--","140,905","--"
-"Unintentional Firearm","55 to 59","Utah","Black","--","1,954","--"
-"Unintentional Firearm","55 to 59","Vermont","White","--","42,825","--"
-"Unintentional Firearm","55 to 59","Vermont","Black","--","445","--"
-"Unintentional Firearm","55 to 59","Virginia","White","--","400,334","--"
-"Unintentional Firearm","55 to 59","Virginia","Black","--","112,976","--"
-"Unintentional Firearm","55 to 59","Washington","White","--","376,019","--"
-"Unintentional Firearm","55 to 59","Washington","Black","--","18,937","--"
-"Unintentional Firearm","55 to 59","West Virginia","White","--","111,312","--"
-"Unintentional Firearm","55 to 59","West Virginia","Black","--","3,790","--"
-"Unintentional Firearm","55 to 59","Wisconsin","White","--","362,313","--"
-"Unintentional Firearm","55 to 59","Wisconsin","Black","--","18,804","--"
-"Unintentional Firearm","55 to 59","Wyoming","White","--","31,656","--"
-"Unintentional Firearm","55 to 59","Wyoming","Black","--","301","--"
-"Unintentional Firearm","60 to 64","Alabama","White","--","241,376","--"
-"Unintentional Firearm","60 to 64","Alabama","Black","--","81,363","--"
-"Unintentional Firearm","60 to 64","Alaska","White","--","32,498","--"
-"Unintentional Firearm","60 to 64","Alaska","Black","--","1,338","--"
-"Unintentional Firearm","60 to 64","Arizona","White","--","387,349","--"
-"Unintentional Firearm","60 to 64","Arizona","Black","--","19,164","--"
-"Unintentional Firearm","60 to 64","Arkansas","White","--","158,173","--"
-"Unintentional Firearm","60 to 64","Arkansas","Black","--","26,649","--"
-"Unintentional Firearm","60 to 64","California","White","--","1,134,448","--"
-"Unintentional Firearm","60 to 64","California","Black","--","102,740","--"
-"Unintentional Firearm","60 to 64","Colorado","White","--","315,328","--"
-"Unintentional Firearm","60 to 64","Colorado","Black","--","13,476","--"
-"Unintentional Firearm","60 to 64","Connecticut","White","--","218,014","--"
-"Unintentional Firearm","60 to 64","Connecticut","Black","--","25,283","--"
-"Unintentional Firearm","60 to 64","Delaware","White","--","56,054","--"
-"Unintentional Firearm","60 to 64","Delaware","Black","--","14,945","--"
-"Unintentional Firearm","60 to 64","District of Columbia","White","--","11,217","--"
-"Unintentional Firearm","60 to 64","District of Columbia","Black","--","18,328","--"
-"Unintentional Firearm","60 to 64","Florida","White","--","844,101","--"
-"Unintentional Firearm","60 to 64","Florida","Black","--","150,101","--"
-"Unintentional Firearm","60 to 64","Georgia","White","--","415,081","--"
-"Unintentional Firearm","60 to 64","Georgia","Black","--","197,242","--"
-"Unintentional Firearm","60 to 64","Hawaii","White","--","24,618","--"
-"Unintentional Firearm","60 to 64","Hawaii","Black","--","1,270","--"
-"Unintentional Firearm","60 to 64","Idaho","White","--","111,543","--"
-"Unintentional Firearm","60 to 64","Idaho","Black","--","719","--"
-"Unintentional Firearm","60 to 64","Illinois","White","--","649,592","--"
-"Unintentional Firearm","60 to 64","Illinois","Black","--","109,112","--"
-"Unintentional Firearm","60 to 64","Indiana","White","--","385,796","--"
-"Unintentional Firearm","60 to 64","Indiana","Black","--","35,576","--"
-"Unintentional Firearm","60 to 64","Iowa","White","--","198,641","--"
-"Unintentional Firearm","60 to 64","Iowa","Black","--","4,671","--"
-"Unintentional Firearm","60 to 64","Kansas","White","--","166,056","--"
-"Unintentional Firearm","60 to 64","Kansas","Black","--","9,750","--"
-"Unintentional Firearm","60 to 64","Kentucky","White","--","266,410","--"
-"Unintentional Firearm","60 to 64","Kentucky","Black","--","22,036","--"
-"Unintentional Firearm","60 to 64","Louisiana","White","--","198,660","--"
-"Unintentional Firearm","60 to 64","Louisiana","Black","--","86,017","--"
-"Unintentional Firearm","60 to 64","Maine","White","--","105,788","--"
-"Unintentional Firearm","60 to 64","Maine","Black","--","852","--"
-"Unintentional Firearm","60 to 64","Maryland","White","--","249,697","--"
-"Unintentional Firearm","60 to 64","Maryland","Black","--","123,509","--"
-"Unintentional Firearm","60 to 64","Massachusetts","White","--","407,859","--"
-"Unintentional Firearm","60 to 64","Massachusetts","Black","--","33,266","--"
-"Unintentional Firearm","60 to 64","Michigan","White","--","587,417","--"
-"Unintentional Firearm","60 to 64","Michigan","Black","--","78,376","--"
-"Unintentional Firearm","60 to 64","Minnesota","White","--","347,478","--"
-"Unintentional Firearm","60 to 64","Minnesota","Black","--","15,058","--"
-"Unintentional Firearm","60 to 64","Mississippi","White","--","119,015","--"
-"Unintentional Firearm","60 to 64","Mississippi","Black","--","64,828","--"
-"Unintentional Firearm","60 to 64","Missouri","White","--","359,552","--"
-"Unintentional Firearm","60 to 64","Missouri","Black","--","41,032","--"
-"Unintentional Firearm","60 to 64","Montana","White","--","72,487","--"
-"Unintentional Firearm","60 to 64","Montana","Black","--","245","--"
-"Unintentional Firearm","60 to 64","Nebraska","White","--","112,842","--"
-"Unintentional Firearm","60 to 64","Nebraska","Black","--","4,681","--"
-"Unintentional Firearm","60 to 64","Nevada","White","--","149,147","--"
-"Unintentional Firearm","60 to 64","Nevada","Black","--","17,074","--"
-"Unintentional Firearm","60 to 64","New Hampshire","White","--","106,655","--"
-"Unintentional Firearm","60 to 64","New Hampshire","Black","--","1,161","--"
-"Unintentional Firearm","60 to 64","New Jersey","White","--","473,725","--"
-"Unintentional Firearm","60 to 64","New Jersey","Black","--","82,933","--"
-"Unintentional Firearm","60 to 64","New Mexico","White","--","117,136","--"
-"Unintentional Firearm","60 to 64","New Mexico","Black","--","3,077","--"
-"Unintentional Firearm","60 to 64","New York","White","--","942,358","--"
-"Unintentional Firearm","60 to 64","New York","Black","--","216,089","--"
-"Unintentional Firearm","60 to 64","North Carolina","White","--","511,117","--"
-"Unintentional Firearm","60 to 64","North Carolina","Black","--","139,348","--"
-"Unintentional Firearm","60 to 64","North Dakota","White","--","44,024","--"
-"Unintentional Firearm","60 to 64","North Dakota","Black","--","675","--"
-"Unintentional Firearm","60 to 64","Ohio","White","--","682,459","--"
-"Unintentional Firearm","60 to 64","Ohio","Black","--","87,564","--"
-"Unintentional Firearm","60 to 64","Oklahoma","White","--","195,839","--"
-"Unintentional Firearm","60 to 64","Oklahoma","Black","--","16,866","--"
-"Unintentional Firearm","60 to 64","Oregon","White","--","239,234","--"
-"Unintentional Firearm","60 to 64","Oregon","Black","--","4,587","--"
-"Unintentional Firearm","60 to 64","Pennsylvania","White","--","783,215","--"
-"Unintentional Firearm","60 to 64","Pennsylvania","Black","--","84,574","--"
-"Unintentional Firearm","60 to 64","Rhode Island","White","--","68,095","--"
-"Unintentional Firearm","60 to 64","Rhode Island","Black","--","4,791","--"
-"Unintentional Firearm","60 to 64","South Carolina","White","--","258,055","--"
-"Unintentional Firearm","60 to 64","South Carolina","Black","--","84,546","--"
-"Unintentional Firearm","60 to 64","South Dakota","White","--","56,329","--"
-"Unintentional Firearm","60 to 64","South Dakota","Black","--","648","--"
-"Unintentional Firearm","60 to 64","Tennessee","White","--","372,170","--"
-"Unintentional Firearm","60 to 64","Tennessee","Black","--","66,600","--"
-"Unintentional Firearm","60 to 64","Texas","White","--","743,019","--"
-"Unintentional Firearm","60 to 64","Texas","Black","--","149,980","--"
-"Unintentional Firearm","60 to 64","Utah","White","--","144,353","--"
-"Unintentional Firearm","60 to 64","Utah","Black","--","1,761","--"
-"Unintentional Firearm","60 to 64","Vermont","White","--","47,554","--"
-"Unintentional Firearm","60 to 64","Vermont","Black","--","353","--"
-"Unintentional Firearm","60 to 64","Virginia","White","--","398,877","--"
-"Unintentional Firearm","60 to 64","Virginia","Black","--","107,601","--"
-"Unintentional Firearm","60 to 64","Washington","White","--","398,179","--"
-"Unintentional Firearm","60 to 64","Washington","Black","--","17,278","--"
-"Unintentional Firearm","60 to 64","West Virginia","White","--","117,020","--"
-"Unintentional Firearm","60 to 64","West Virginia","Black","--","3,943","--"
-"Unintentional Firearm","60 to 64","Wisconsin","White","--","387,352","--"
-"Unintentional Firearm","60 to 64","Wisconsin","Black","--","17,434","--"
-"Unintentional Firearm","60 to 64","Wyoming","White","--","37,645","--"
-"Unintentional Firearm","60 to 64","Wyoming","Black","--","373","--"
-"Unintentional Firearm","65 to 69","Alabama","White","--","218,808","--"
-"Unintentional Firearm","65 to 69","Alabama","Black","--","70,663","--"
-"Unintentional Firearm","65 to 69","Alaska","White","--","29,323","--"
-"Unintentional Firearm","65 to 69","Alaska","Black","--","1,013","--"
-"Unintentional Firearm","65 to 69","Arizona","White","--","368,867","--"
-"Unintentional Firearm","65 to 69","Arizona","Black","--","14,885","--"
-"Unintentional Firearm","65 to 69","Arkansas","White","--","143,209","--"
-"Unintentional Firearm","65 to 69","Arkansas","Black","--","23,363","--"
-"Unintentional Firearm","65 to 69","California","White","--","975,884","--"
-"Unintentional Firearm","65 to 69","California","Black","--","79,665","--"
-"Unintentional Firearm","65 to 69","Colorado","White","--","284,195","--"
-"Unintentional Firearm","65 to 69","Colorado","Black","--","10,313","--"
-"Unintentional Firearm","65 to 69","Connecticut","White","--","185,845","--"
-"Unintentional Firearm","65 to 69","Connecticut","Black","--","18,418","--"
-"Unintentional Firearm","65 to 69","Delaware","White","--","55,037","--"
-"Unintentional Firearm","65 to 69","Delaware","Black","--","12,102","--"
-"Unintentional Firearm","65 to 69","District of Columbia","White","--","9,872","--"
-"Unintentional Firearm","65 to 69","District of Columbia","Black","--","16,123","--"
-"Unintentional Firearm","65 to 69","Florida","White","--","773,721","--"
-"Unintentional Firearm","65 to 69","Florida","Black","--","124,744","--"
-"Unintentional Firearm","65 to 69","Georgia","White","--","363,604","--"
-"Unintentional Firearm","65 to 69","Georgia","Black","--","158,699","--"
-"Unintentional Firearm","65 to 69","Hawaii","White","--","25,667","--"
-"Unintentional Firearm","65 to 69","Hawaii","Black","--","884","--"
-"Unintentional Firearm","65 to 69","Idaho","White","--","104,996","--"
-"Unintentional Firearm","65 to 69","Idaho","Black","--","553","--"
-"Unintentional Firearm","65 to 69","Illinois","White","--","568,698","--"
-"Unintentional Firearm","65 to 69","Illinois","Black","--","89,860","--"
-"Unintentional Firearm","65 to 69","Indiana","White","--","344,251","--"
-"Unintentional Firearm","65 to 69","Indiana","Black","--","28,873","--"
-"Unintentional Firearm","65 to 69","Iowa","White","--","179,713","--"
-"Unintentional Firearm","65 to 69","Iowa","Black","--","3,176","--"
-"Unintentional Firearm","65 to 69","Kansas","White","--","150,815","--"
-"Unintentional Firearm","65 to 69","Kansas","Black","--","7,654","--"
-"Unintentional Firearm","65 to 69","Kentucky","White","--","239,218","--"
-"Unintentional Firearm","65 to 69","Kentucky","Black","--","18,050","--"
-"Unintentional Firearm","65 to 69","Louisiana","White","--","180,005","--"
-"Unintentional Firearm","65 to 69","Louisiana","Black","--","74,556","--"
-"Unintentional Firearm","65 to 69","Maine","White","--","98,472","--"
-"Unintentional Firearm","65 to 69","Maine","Black","--","593","--"
-"Unintentional Firearm","65 to 69","Maryland","White","--","214,811","--"
-"Unintentional Firearm","65 to 69","Maryland","Black","--","96,983","--"
-"Unintentional Firearm","65 to 69","Massachusetts","White","--","355,213","--"
-"Unintentional Firearm","65 to 69","Massachusetts","Black","--","25,636","--"
-"Unintentional Firearm","65 to 69","Michigan","White","--","534,220","--"
-"Unintentional Firearm","65 to 69","Michigan","Black","--","68,318","--"
-"Unintentional Firearm","65 to 69","Minnesota","White","--","303,105","--"
-"Unintentional Firearm","65 to 69","Minnesota","Black","--","10,420","--"
-"Unintentional Firearm","65 to 69","Mississippi","White","--","108,062","--"
-"Unintentional Firearm","65 to 69","Mississippi","Black","--","56,073","--"
-"Unintentional Firearm","65 to 69","Missouri","White","--","317,274","--"
-"Unintentional Firearm","65 to 69","Missouri","Black","--","33,398","--"
-"Unintentional Firearm","65 to 69","Montana","White","--","70,593","--"
-"Unintentional Firearm","65 to 69","Montana","Black","--","184","--"
-"Unintentional Firearm","65 to 69","Nebraska","White","--","101,595","--"
-"Unintentional Firearm","65 to 69","Nebraska","Black","--","3,354","--"
-"Unintentional Firearm","65 to 69","Nevada","White","--","136,363","--"
-"Unintentional Firearm","65 to 69","Nevada","Black","--","13,883","--"
-"Unintentional Firearm","65 to 69","New Hampshire","White","--","91,513","--"
-"Unintentional Firearm","65 to 69","New Hampshire","Black","--","783","--"
-"Unintentional Firearm","65 to 69","New Jersey","White","--","403,400","--"
-"Unintentional Firearm","65 to 69","New Jersey","Black","--","62,349","--"
-"Unintentional Firearm","65 to 69","New Mexico","White","--","111,728","--"
-"Unintentional Firearm","65 to 69","New Mexico","Black","--","2,567","--"
-"Unintentional Firearm","65 to 69","New York","White","--","828,108","--"
-"Unintentional Firearm","65 to 69","New York","Black","--","170,532","--"
-"Unintentional Firearm","65 to 69","North Carolina","White","--","462,212","--"
-"Unintentional Firearm","65 to 69","North Carolina","Black","--","118,849","--"
-"Unintentional Firearm","65 to 69","North Dakota","White","--","40,236","--"
-"Unintentional Firearm","65 to 69","North Dakota","Black","--","361","--"
-"Unintentional Firearm","65 to 69","Ohio","White","--","618,913","--"
-"Unintentional Firearm","65 to 69","Ohio","Black","--","72,436","--"
-"Unintentional Firearm","65 to 69","Oklahoma","White","--","176,678","--"
-"Unintentional Firearm","65 to 69","Oklahoma","Black","--","13,784","--"
-"Unintentional Firearm","65 to 69","Oregon","White","--","239,323","--"
-"Unintentional Firearm","65 to 69","Oregon","Black","--","3,645","--"
-"Unintentional Firearm","65 to 69","Pennsylvania","White","--","717,464","--"
-"Unintentional Firearm","65 to 69","Pennsylvania","Black","--","68,715","--"
-"Unintentional Firearm","65 to 69","Rhode Island","White","--","60,525","--"
-"Unintentional Firearm","65 to 69","Rhode Island","Black","--","3,829","--"
-"Unintentional Firearm","65 to 69","South Carolina","White","--","244,813","--"
-"Unintentional Firearm","65 to 69","South Carolina","Black","--","74,236","--"
-"Unintentional Firearm","65 to 69","South Dakota","White","--","52,939","--"
-"Unintentional Firearm","65 to 69","South Dakota","Black","--","425","--"
-"Unintentional Firearm","65 to 69","Tennessee","White","--","335,602","--"
-"Unintentional Firearm","65 to 69","Tennessee","Black","--","56,286","--"
-"Unintentional Firearm","65 to 69","Texas","White","--","612,306","--"
-"Unintentional Firearm","65 to 69","Texas","Black","--","116,514","--"
-"Unintentional Firearm","65 to 69","Utah","White","--","129,446","--"
-"Unintentional Firearm","65 to 69","Utah","Black","--","1,154","--"
-"Unintentional Firearm","65 to 69","Vermont","White","--","44,142","--"
-"Unintentional Firearm","65 to 69","Vermont","Black","--","308","--"
-"Unintentional Firearm","65 to 69","Virginia","White","--","349,570","--"
-"Unintentional Firearm","65 to 69","Virginia","Black","--","88,125","--"
-"Unintentional Firearm","65 to 69","Washington","White","--","369,741","--"
-"Unintentional Firearm","65 to 69","Washington","Black","--","13,133","--"
-"Unintentional Firearm","65 to 69","West Virginia","White","--","112,800","--"
-"Unintentional Firearm","65 to 69","West Virginia","Black","--","3,724","--"
-"Unintentional Firearm","65 to 69","Wisconsin","White","--","343,002","--"
-"Unintentional Firearm","65 to 69","Wisconsin","Black","--","13,511","--"
-"Unintentional Firearm","65 to 69","Wyoming","White","--","36,161","--"
-"Unintentional Firearm","65 to 69","Wyoming","Black","--","330","--"
-"Unintentional Firearm","70 to 74","Alabama","White","--","184,518","--"
-"Unintentional Firearm","70 to 74","Alabama","Black","--","52,309","--"
-"Unintentional Firearm","70 to 74","Alaska","White","--","21,908","--"
-"Unintentional Firearm","70 to 74","Alaska","Black","--","641","--"
-"Unintentional Firearm","70 to 74","Arizona","White","--","331,009","--"
-"Unintentional Firearm","70 to 74","Arizona","Black","--","10,831","--"
-"Unintentional Firearm","70 to 74","Arkansas","White","--","121,280","--"
-"Unintentional Firearm","70 to 74","Arkansas","Black","--","16,676","--"
-"Unintentional Firearm","70 to 74","California","White","--","789,014","--"
-"Unintentional Firearm","70 to 74","California","Black","--","58,171","--"
-"Unintentional Firearm","70 to 74","Colorado","White","--","231,377","--"
-"Unintentional Firearm","70 to 74","Colorado","Black","--","7,034","--"
-"Unintentional Firearm","70 to 74","Connecticut","White","--","146,054","--"
-"Unintentional Firearm","70 to 74","Connecticut","Black","--","13,070","--"
-"Unintentional Firearm","70 to 74","Delaware","White","--","46,181","--"
-"Unintentional Firearm","70 to 74","Delaware","Black","--","8,863","--"
-"Unintentional Firearm","70 to 74","District of Columbia","White","--","9,281","--"
-"Unintentional Firearm","70 to 74","District of Columbia","Black","--","12,135","--"
-"Unintentional Firearm","70 to 74","Florida","White","--","694,340","--"
-"Unintentional Firearm","70 to 74","Florida","Black","--","92,155","--"
-"Unintentional Firearm","70 to 74","Georgia","White","--","306,108","--"
-"Unintentional Firearm","70 to 74","Georgia","Black","--","117,118","--"
-"Unintentional Firearm","70 to 74","Hawaii","White","--","24,474","--"
-"Unintentional Firearm","70 to 74","Hawaii","Black","--","681","--"
-"Unintentional Firearm","70 to 74","Idaho","White","--","86,122","--"
-"Unintentional Firearm","70 to 74","Idaho","Black","--","295","--"
-"Unintentional Firearm","70 to 74","Illinois","White","--","455,473","--"
-"Unintentional Firearm","70 to 74","Illinois","Black","--","67,639","--"
-"Unintentional Firearm","70 to 74","Indiana","White","--","276,868","--"
-"Unintentional Firearm","70 to 74","Indiana","Black","--","20,494","--"
-"Unintentional Firearm","70 to 74","Iowa","White","--","146,058","--"
-"Unintentional Firearm","70 to 74","Iowa","Black","--","2,143","--"
-"Unintentional Firearm","70 to 74","Kansas","White","--","120,373","--"
-"Unintentional Firearm","70 to 74","Kansas","Black","--","5,347","--"
-"Unintentional Firearm","70 to 74","Kentucky","White","--","197,198","--"
-"Unintentional Firearm","70 to 74","Kentucky","Black","--","13,068","--"
-"Unintentional Firearm","70 to 74","Louisiana","White","--","147,133","--"
-"Unintentional Firearm","70 to 74","Louisiana","Black","--","54,927","--"
-"Unintentional Firearm","70 to 74","Maine","White","--","81,896","--"
-"Unintentional Firearm","70 to 74","Maine","Black","--","364","--"
-"Unintentional Firearm","70 to 74","Maryland","White","--","175,371","--"
-"Unintentional Firearm","70 to 74","Maryland","Black","--","75,287","--"
-"Unintentional Firearm","70 to 74","Massachusetts","White","--","290,138","--"
-"Unintentional Firearm","70 to 74","Massachusetts","Black","--","18,157","--"
-"Unintentional Firearm","70 to 74","Michigan","White","--","430,369","--"
-"Unintentional Firearm","70 to 74","Michigan","Black","--","52,772","--"
-"Unintentional Firearm","70 to 74","Minnesota","White","--","242,661","--"
-"Unintentional Firearm","70 to 74","Minnesota","Black","--","6,722","--"
-"Unintentional Firearm","70 to 74","Mississippi","White","--","92,150","--"
-"Unintentional Firearm","70 to 74","Mississippi","Black","--","40,514","--"
-"Unintentional Firearm","70 to 74","Missouri","White","--","257,208","--"
-"Unintentional Firearm","70 to 74","Missouri","Black","--","24,097","--"
-"Unintentional Firearm","70 to 74","Montana","White","--","58,647","--"
-"Unintentional Firearm","70 to 74","Montana","Black","--","116","--"
-"Unintentional Firearm","70 to 74","Nebraska","White","--","82,935","--"
-"Unintentional Firearm","70 to 74","Nebraska","Black","--","2,418","--"
-"Unintentional Firearm","70 to 74","Nevada","White","--","115,652","--"
-"Unintentional Firearm","70 to 74","Nevada","Black","--","10,454","--"
-"Unintentional Firearm","70 to 74","New Hampshire","White","--","72,210","--"
-"Unintentional Firearm","70 to 74","New Hampshire","Black","--","480","--"
-"Unintentional Firearm","70 to 74","New Jersey","White","--","322,055","--"
-"Unintentional Firearm","70 to 74","New Jersey","Black","--","45,472","--"
-"Unintentional Firearm","70 to 74","New Mexico","White","--","98,360","--"
-"Unintentional Firearm","70 to 74","New Mexico","Black","--","1,871","--"
-"Unintentional Firearm","70 to 74","New York","White","--","689,039","--"
-"Unintentional Firearm","70 to 74","New York","Black","--","127,225","--"
-"Unintentional Firearm","70 to 74","North Carolina","White","--","391,721","--"
-"Unintentional Firearm","70 to 74","North Carolina","Black","--","90,717","--"
-"Unintentional Firearm","70 to 74","North Dakota","White","--","31,127","--"
-"Unintentional Firearm","70 to 74","North Dakota","Black","--","213","--"
-"Unintentional Firearm","70 to 74","Ohio","White","--","504,041","--"
-"Unintentional Firearm","70 to 74","Ohio","Black","--","53,778","--"
-"Unintentional Firearm","70 to 74","Oklahoma","White","--","143,402","--"
-"Unintentional Firearm","70 to 74","Oklahoma","Black","--","9,961","--"
-"Unintentional Firearm","70 to 74","Oregon","White","--","209,195","--"
-"Unintentional Firearm","70 to 74","Oregon","Black","--","2,584","--"
-"Unintentional Firearm","70 to 74","Pennsylvania","White","--","583,490","--"
-"Unintentional Firearm","70 to 74","Pennsylvania","Black","--","50,713","--"
-"Unintentional Firearm","70 to 74","Rhode Island","White","--","48,526","--"
-"Unintentional Firearm","70 to 74","Rhode Island","Black","--","2,248","--"
-"Unintentional Firearm","70 to 74","South Carolina","White","--","213,364","--"
-"Unintentional Firearm","70 to 74","South Carolina","Black","--","57,654","--"
-"Unintentional Firearm","70 to 74","South Dakota","White","--","41,186","--"
-"Unintentional Firearm","70 to 74","South Dakota","Black","--","280","--"
-"Unintentional Firearm","70 to 74","Tennessee","White","--","278,596","--"
-"Unintentional Firearm","70 to 74","Tennessee","Black","--","40,238","--"
-"Unintentional Firearm","70 to 74","Texas","White","--","476,929","--"
-"Unintentional Firearm","70 to 74","Texas","Black","--","81,702","--"
-"Unintentional Firearm","70 to 74","Utah","White","--","102,765","--"
-"Unintentional Firearm","70 to 74","Utah","Black","--","699","--"
-"Unintentional Firearm","70 to 74","Vermont","White","--","36,848","--"
-"Unintentional Firearm","70 to 74","Vermont","Black","--","174","--"
-"Unintentional Firearm","70 to 74","Virginia","White","--","294,063","--"
-"Unintentional Firearm","70 to 74","Virginia","Black","--","64,958","--"
-"Unintentional Firearm","70 to 74","Washington","White","--","307,141","--"
-"Unintentional Firearm","70 to 74","Washington","Black","--","8,601","--"
-"Unintentional Firearm","70 to 74","West Virginia","White","--","99,669","--"
-"Unintentional Firearm","70 to 74","West Virginia","Black","--","2,691","--"
-"Unintentional Firearm","70 to 74","Wisconsin","White","--","275,842","--"
-"Unintentional Firearm","70 to 74","Wisconsin","Black","--","9,669","--"
-"Unintentional Firearm","70 to 74","Wyoming","White","--","28,136","--"
-"Unintentional Firearm","70 to 74","Wyoming","Black","--","238","--"
-"Unintentional Firearm","75 to 79","Alabama","White","--","140,104","--"
-"Unintentional Firearm","75 to 79","Alabama","Black","--","30,490","--"
-"Unintentional Firearm","75 to 79","Alaska","White","--","13,780","--"
-"Unintentional Firearm","75 to 79","Alaska","Black","--","340","--"
-"Unintentional Firearm","75 to 79","Arizona","White","--","259,218","--"
-"Unintentional Firearm","75 to 79","Arizona","Black","--","6,387","--"
-"Unintentional Firearm","75 to 79","Arkansas","White","--","92,339","--"
-"Unintentional Firearm","75 to 79","Arkansas","Black","--","9,305","--"
-"Unintentional Firearm","75 to 79","California","White","--","580,958","--"
-"Unintentional Firearm","75 to 79","California","Black","--","38,418","--"
-"Unintentional Firearm","75 to 79","Colorado","White","--","156,941","--"
-"Unintentional Firearm","75 to 79","Colorado","Black","--","4,030","--"
-"Unintentional Firearm","75 to 79","Connecticut","White","--","112,387","--"
-"Unintentional Firearm","75 to 79","Connecticut","Black","--","8,954","--"
-"Unintentional Firearm","75 to 79","Delaware","White","--","33,500","--"
-"Unintentional Firearm","75 to 79","Delaware","Black","--","5,742","--"
-"Unintentional Firearm","75 to 79","District of Columbia","White","--","7,171","--"
-"Unintentional Firearm","75 to 79","District of Columbia","Black","--","7,913","--"
-"Unintentional Firearm","75 to 79","Florida","White","--","564,876","--"
-"Unintentional Firearm","75 to 79","Florida","Black","--","60,346","--"
-"Unintentional Firearm","75 to 79","Georgia","White","--","230,570","--"
-"Unintentional Firearm","75 to 79","Georgia","Black","--","69,728","--"
-"Unintentional Firearm","75 to 79","Hawaii","White","--","17,293","--"
-"Unintentional Firearm","75 to 79","Hawaii","Black","--","379","--"
-"Unintentional Firearm","75 to 79","Idaho","White","--","60,752","--"
-"Unintentional Firearm","75 to 79","Idaho","Black","--","145","--"
-"Unintentional Firearm","75 to 79","Illinois","White","--","325,487","--"
-"Unintentional Firearm","75 to 79","Illinois","Black","--","44,504","--"
-"Unintentional Firearm","75 to 79","Indiana","White","--","194,050","--"
-"Unintentional Firearm","75 to 79","Indiana","Black","--","12,127","--"
-"Unintentional Firearm","75 to 79","Iowa","White","--","101,116","--"
-"Unintentional Firearm","75 to 79","Iowa","Black","--","1,154","--"
-"Unintentional Firearm","75 to 79","Kansas","White","--","84,520","--"
-"Unintentional Firearm","75 to 79","Kansas","Black","--","3,233","--"
-"Unintentional Firearm","75 to 79","Kentucky","White","--","138,272","--"
-"Unintentional Firearm","75 to 79","Kentucky","Black","--","7,190","--"
-"Unintentional Firearm","75 to 79","Louisiana","White","--","106,682","--"
-"Unintentional Firearm","75 to 79","Louisiana","Black","--","33,035","--"
-"Unintentional Firearm","75 to 79","Maine","White","--","57,614","--"
-"Unintentional Firearm","75 to 79","Maine","Black","--","197","--"
-"Unintentional Firearm","75 to 79","Maryland","White","--","133,278","--"
-"Unintentional Firearm","75 to 79","Maryland","Black","--","47,902","--"
-"Unintentional Firearm","75 to 79","Massachusetts","White","--","212,427","--"
-"Unintentional Firearm","75 to 79","Massachusetts","Black","--","11,603","--"
-"Unintentional Firearm","75 to 79","Michigan","White","--","301,682","--"
-"Unintentional Firearm","75 to 79","Michigan","Black","--","33,687","--"
-"Unintentional Firearm","75 to 79","Minnesota","White","--","168,004","--"
-"Unintentional Firearm","75 to 79","Minnesota","Black","--","3,940","--"
-"Unintentional Firearm","75 to 79","Mississippi","White","--","69,918","--"
-"Unintentional Firearm","75 to 79","Mississippi","Black","--","23,187","--"
-"Unintentional Firearm","75 to 79","Missouri","White","--","186,024","--"
-"Unintentional Firearm","75 to 79","Missouri","Black","--","15,316","--"
-"Unintentional Firearm","75 to 79","Montana","White","--","39,301","--"
-"Unintentional Firearm","75 to 79","Montana","Black","--","48","--"
-"Unintentional Firearm","75 to 79","Nebraska","White","--","56,549","--"
-"Unintentional Firearm","75 to 79","Nebraska","Black","--","1,446","--"
-"Unintentional Firearm","75 to 79","Nevada","White","--","86,617","--"
-"Unintentional Firearm","75 to 79","Nevada","Black","--","6,666","--"
-"Unintentional Firearm","75 to 79","New Hampshire","White","--","50,635","--"
-"Unintentional Firearm","75 to 79","New Hampshire","Black","--","275","--"
-"Unintentional Firearm","75 to 79","New Jersey","White","--","243,451","--"
-"Unintentional Firearm","75 to 79","New Jersey","Black","--","31,042","--"
-"Unintentional Firearm","75 to 79","New Mexico","White","--","70,044","--"
-"Unintentional Firearm","75 to 79","New Mexico","Black","--","1,103","--"
-"Unintentional Firearm","75 to 79","New York","White","--","508,617","--"
-"Unintentional Firearm","75 to 79","New York","Black","--","89,277","--"
-"Unintentional Firearm","75 to 79","North Carolina","White","--","292,145","--"
-"Unintentional Firearm","75 to 79","North Carolina","Black","--","55,152","--"
-"Unintentional Firearm","75 to 79","North Dakota","White","--","21,434","--"
-"Unintentional Firearm","75 to 79","North Dakota","Black","--","80","--"
-"Unintentional Firearm","75 to 79","Ohio","White","--","350,654","--"
-"Unintentional Firearm","75 to 79","Ohio","Black","--","32,868","--"
-"Unintentional Firearm","75 to 79","Oklahoma","White","--","106,504","--"
-"Unintentional Firearm","75 to 79","Oklahoma","Black","--","5,905","--"
-"Unintentional Firearm","75 to 79","Oregon","White","--","147,532","--"
-"Unintentional Firearm","75 to 79","Oregon","Black","--","1,442","--"
-"Unintentional Firearm","75 to 79","Pennsylvania","White","--","420,801","--"
-"Unintentional Firearm","75 to 79","Pennsylvania","Black","--","32,124","--"
-"Unintentional Firearm","75 to 79","Rhode Island","White","--","35,055","--"
-"Unintentional Firearm","75 to 79","Rhode Island","Black","--","1,540","--"
-"Unintentional Firearm","75 to 79","South Carolina","White","--","159,004","--"
-"Unintentional Firearm","75 to 79","South Carolina","Black","--","35,919","--"
-"Unintentional Firearm","75 to 79","South Dakota","White","--","25,922","--"
-"Unintentional Firearm","75 to 79","South Dakota","Black","--","123","--"
-"Unintentional Firearm","75 to 79","Tennessee","White","--","205,655","--"
-"Unintentional Firearm","75 to 79","Tennessee","Black","--","22,850","--"
-"Unintentional Firearm","75 to 79","Texas","White","--","335,643","--"
-"Unintentional Firearm","75 to 79","Texas","Black","--","46,951","--"
-"Unintentional Firearm","75 to 79","Utah","White","--","72,064","--"
-"Unintentional Firearm","75 to 79","Utah","Black","--","332","--"
-"Unintentional Firearm","75 to 79","Vermont","White","--","25,762","--"
-"Unintentional Firearm","75 to 79","Vermont","Black","--","89","--"
-"Unintentional Firearm","75 to 79","Virginia","White","--","222,159","--"
-"Unintentional Firearm","75 to 79","Virginia","Black","--","40,596","--"
-"Unintentional Firearm","75 to 79","Washington","White","--","219,080","--"
-"Unintentional Firearm","75 to 79","Washington","Black","--","4,896","--"
-"Unintentional Firearm","75 to 79","West Virginia","White","--","68,388","--"
-"Unintentional Firearm","75 to 79","West Virginia","Black","--","1,577","--"
-"Unintentional Firearm","75 to 79","Wisconsin","White","--","188,469","--"
-"Unintentional Firearm","75 to 79","Wisconsin","Black","--","5,510","--"
-"Unintentional Firearm","75 to 79","Wyoming","White","--","18,609","--"
-"Unintentional Firearm","75 to 79","Wyoming","Black","--","95","--"
-"Unintentional Firearm","80 to 84","Alabama","White","--","85,099","--"
-"Unintentional Firearm","80 to 84","Alabama","Black","--","17,802","--"
-"Unintentional Firearm","80 to 84","Alaska","White","--","7,019","--"
-"Unintentional Firearm","80 to 84","Alaska","Black","--","176","--"
-"Unintentional Firearm","80 to 84","Arizona","White","--","158,667","--"
-"Unintentional Firearm","80 to 84","Arizona","Black","--","3,669","--"
-"Unintentional Firearm","80 to 84","Arkansas","White","--","57,541","--"
-"Unintentional Firearm","80 to 84","Arkansas","Black","--","5,272","--"
-"Unintentional Firearm","80 to 84","California","White","--","359,993","--"
-"Unintentional Firearm","80 to 84","California","Black","--","25,929","--"
-"Unintentional Firearm","80 to 84","Colorado","White","--","89,427","--"
-"Unintentional Firearm","80 to 84","Colorado","Black","--","2,622","--"
-"Unintentional Firearm","80 to 84","Connecticut","White","--","68,600","--"
-"Unintentional Firearm","80 to 84","Connecticut","Black","--","5,640","--"
-"Unintentional Firearm","80 to 84","Delaware","White","--","19,206","--"
-"Unintentional Firearm","80 to 84","Delaware","Black","--","3,404","--"
-"Unintentional Firearm","80 to 84","District of Columbia","White","--","4,280","--"
-"Unintentional Firearm","80 to 84","District of Columbia","Black","--","5,495","--"
-"Unintentional Firearm","80 to 84","Florida","White","--","372,261","--"
-"Unintentional Firearm","80 to 84","Florida","Black","--","36,632","--"
-"Unintentional Firearm","80 to 84","Georgia","White","--","134,303","--"
-"Unintentional Firearm","80 to 84","Georgia","Black","--","38,946","--"
-"Unintentional Firearm","80 to 84","Hawaii","White","--","8,776","--"
-"Unintentional Firearm","80 to 84","Hawaii","Black","--","207","--"
-"Unintentional Firearm","80 to 84","Idaho","White","--","35,459","--"
-"Unintentional Firearm","80 to 84","Idaho","Black","--","85","--"
-"Unintentional Firearm","80 to 84","Illinois","White","--","205,771","--"
-"Unintentional Firearm","80 to 84","Illinois","Black","--","28,734","--"
-"Unintentional Firearm","80 to 84","Indiana","White","--","120,668","--"
-"Unintentional Firearm","80 to 84","Indiana","Black","--","7,550","--"
-"Unintentional Firearm","80 to 84","Iowa","White","--","66,497","--"
-"Unintentional Firearm","80 to 84","Iowa","Black","--","727","--"
-"Unintentional Firearm","80 to 84","Kansas","White","--","52,796","--"
-"Unintentional Firearm","80 to 84","Kansas","Black","--","2,021","--"
-"Unintentional Firearm","80 to 84","Kentucky","White","--","82,958","--"
-"Unintentional Firearm","80 to 84","Kentucky","Black","--","4,458","--"
-"Unintentional Firearm","80 to 84","Louisiana","White","--","65,100","--"
-"Unintentional Firearm","80 to 84","Louisiana","Black","--","19,051","--"
-"Unintentional Firearm","80 to 84","Maine","White","--","33,810","--"
-"Unintentional Firearm","80 to 84","Maine","Black","--","136","--"
-"Unintentional Firearm","80 to 84","Maryland","White","--","82,123","--"
-"Unintentional Firearm","80 to 84","Maryland","Black","--","28,623","--"
-"Unintentional Firearm","80 to 84","Massachusetts","White","--","127,688","--"
-"Unintentional Firearm","80 to 84","Massachusetts","Black","--","7,135","--"
-"Unintentional Firearm","80 to 84","Michigan","White","--","184,824","--"
-"Unintentional Firearm","80 to 84","Michigan","Black","--","19,200","--"
-"Unintentional Firearm","80 to 84","Minnesota","White","--","107,521","--"
-"Unintentional Firearm","80 to 84","Minnesota","Black","--","2,379","--"
-"Unintentional Firearm","80 to 84","Mississippi","White","--","43,433","--"
-"Unintentional Firearm","80 to 84","Mississippi","Black","--","13,394","--"
-"Unintentional Firearm","80 to 84","Missouri","White","--","116,562","--"
-"Unintentional Firearm","80 to 84","Missouri","Black","--","9,215","--"
-"Unintentional Firearm","80 to 84","Montana","White","--","23,393","--"
-"Unintentional Firearm","80 to 84","Montana","Black","--","66","--"
-"Unintentional Firearm","80 to 84","Nebraska","White","--","35,755","--"
-"Unintentional Firearm","80 to 84","Nebraska","Black","--","924","--"
-"Unintentional Firearm","80 to 84","Nevada","White","--","48,775","--"
-"Unintentional Firearm","80 to 84","Nevada","Black","--","3,944","--"
-"Unintentional Firearm","80 to 84","New Hampshire","White","--","29,025","--"
-"Unintentional Firearm","80 to 84","New Hampshire","Black","--","152","--"
-"Unintentional Firearm","80 to 84","New Jersey","White","--","151,821","--"
-"Unintentional Firearm","80 to 84","New Jersey","Black","--","20,261","--"
-"Unintentional Firearm","80 to 84","New Mexico","White","--","41,309","--"
-"Unintentional Firearm","80 to 84","New Mexico","Black","--","666","--"
-"Unintentional Firearm","80 to 84","New York","White","--","324,013","--"
-"Unintentional Firearm","80 to 84","New York","Black","--","59,265","--"
-"Unintentional Firearm","80 to 84","North Carolina","White","--","170,139","--"
-"Unintentional Firearm","80 to 84","North Carolina","Black","--","31,514","--"
-"Unintentional Firearm","80 to 84","North Dakota","White","--","13,974","--"
-"Unintentional Firearm","80 to 84","North Dakota","Black","--","38","--"
-"Unintentional Firearm","80 to 84","Ohio","White","--","220,378","--"
-"Unintentional Firearm","80 to 84","Ohio","Black","--","21,095","--"
-"Unintentional Firearm","80 to 84","Oklahoma","White","--","66,458","--"
-"Unintentional Firearm","80 to 84","Oklahoma","Black","--","3,373","--"
-"Unintentional Firearm","80 to 84","Oregon","White","--","83,913","--"
-"Unintentional Firearm","80 to 84","Oregon","Black","--","886","--"
-"Unintentional Firearm","80 to 84","Pennsylvania","White","--","267,033","--"
-"Unintentional Firearm","80 to 84","Pennsylvania","Black","--","20,181","--"
-"Unintentional Firearm","80 to 84","Rhode Island","White","--","21,479","--"
-"Unintentional Firearm","80 to 84","Rhode Island","Black","--","961","--"
-"Unintentional Firearm","80 to 84","South Carolina","White","--","89,359","--"
-"Unintentional Firearm","80 to 84","South Carolina","Black","--","19,823","--"
-"Unintentional Firearm","80 to 84","South Dakota","White","--","16,008","--"
-"Unintentional Firearm","80 to 84","South Dakota","Black","--","46","--"
-"Unintentional Firearm","80 to 84","Tennessee","White","--","121,913","--"
-"Unintentional Firearm","80 to 84","Tennessee","Black","--","13,112","--"
-"Unintentional Firearm","80 to 84","Texas","White","--","195,442","--"
-"Unintentional Firearm","80 to 84","Texas","Black","--","25,778","--"
-"Unintentional Firearm","80 to 84","Utah","White","--","43,033","--"
-"Unintentional Firearm","80 to 84","Utah","Black","--","244","--"
-"Unintentional Firearm","80 to 84","Vermont","White","--","14,773","--"
-"Unintentional Firearm","80 to 84","Vermont","Black","--","42","--"
-"Unintentional Firearm","80 to 84","Virginia","White","--","132,958","--"
-"Unintentional Firearm","80 to 84","Virginia","Black","--","24,572","--"
-"Unintentional Firearm","80 to 84","Washington","White","--","124,773","--"
-"Unintentional Firearm","80 to 84","Washington","Black","--","2,729","--"
-"Unintentional Firearm","80 to 84","West Virginia","White","--","41,184","--"
-"Unintentional Firearm","80 to 84","West Virginia","Black","--","860","--"
-"Unintentional Firearm","80 to 84","Wisconsin","White","--","116,662","--"
-"Unintentional Firearm","80 to 84","Wisconsin","Black","--","3,319","--"
-"Unintentional Firearm","80 to 84","Wyoming","White","--","10,891","--"
-"Unintentional Firearm","80 to 84","Wyoming","Black","--","49","--"
-"Unintentional Firearm","85+","Alabama","White","--","74,889","--"
-"Unintentional Firearm","85+","Alabama","Black","--","16,119","--"
-"Unintentional Firearm","85+","Alaska","White","--","5,494","--"
-"Unintentional Firearm","85+","Alaska","Black","--","172","--"
-"Unintentional Firearm","85+","Arizona","White","--","138,656","--"
-"Unintentional Firearm","85+","Arizona","Black","--","3,153","--"
-"Unintentional Firearm","85+","Arkansas","White","--","51,588","--"
-"Unintentional Firearm","85+","Arkansas","Black","--","4,957","--"
-"Unintentional Firearm","85+","California","White","--","375,374","--"
-"Unintentional Firearm","85+","California","Black","--","25,723","--"
-"Unintentional Firearm","85+","Colorado","White","--","83,500","--"
-"Unintentional Firearm","85+","Colorado","Black","--","2,256","--"
-"Unintentional Firearm","85+","Connecticut","White","--","73,251","--"
-"Unintentional Firearm","85+","Connecticut","Black","--","4,771","--"
-"Unintentional Firearm","85+","Delaware","White","--","16,632","--"
-"Unintentional Firearm","85+","Delaware","Black","--","2,681","--"
-"Unintentional Firearm","85+","District of Columbia","White","--","4,491","--"
-"Unintentional Firearm","85+","District of Columbia","Black","--","6,152","--"
-"Unintentional Firearm","85+","Florida","White","--","381,603","--"
-"Unintentional Firearm","85+","Florida","Black","--","32,353","--"
-"Unintentional Firearm","85+","Georgia","White","--","116,451","--"
-"Unintentional Firearm","85+","Georgia","Black","--","31,876","--"
-"Unintentional Firearm","85+","Hawaii","White","--","8,280","--"
-"Unintentional Firearm","85+","Hawaii","Black","--","204","--"
-"Unintentional Firearm","85+","Idaho","White","--","30,197","--"
-"Unintentional Firearm","85+","Idaho","Black","--","71","--"
-"Unintentional Firearm","85+","Illinois","White","--","215,666","--"
-"Unintentional Firearm","85+","Illinois","Black","--","27,388","--"
-"Unintentional Firearm","85+","Indiana","White","--","117,409","--"
-"Unintentional Firearm","85+","Indiana","Black","--","6,727","--"
-"Unintentional Firearm","85+","Iowa","White","--","74,664","--"
-"Unintentional Firearm","85+","Iowa","Black","--","627","--"
-"Unintentional Firearm","85+","Kansas","White","--","57,732","--"
-"Unintentional Firearm","85+","Kansas","Black","--","1,872","--"
-"Unintentional Firearm","85+","Kentucky","White","--","72,950","--"
-"Unintentional Firearm","85+","Kentucky","Black","--","4,037","--"
-"Unintentional Firearm","85+","Louisiana","White","--","59,282","--"
-"Unintentional Firearm","85+","Louisiana","Black","--","16,910","--"
-"Unintentional Firearm","85+","Maine","White","--","32,771","--"
-"Unintentional Firearm","85+","Maine","Black","--","163","--"
-"Unintentional Firearm","85+","Maryland","White","--","86,120","--"
-"Unintentional Firearm","85+","Maryland","Black","--","25,536","--"
-"Unintentional Firearm","85+","Massachusetts","White","--","136,401","--"
-"Unintentional Firearm","85+","Massachusetts","Black","--","6,846","--"
-"Unintentional Firearm","85+","Michigan","White","--","174,193","--"
-"Unintentional Firearm","85+","Michigan","Black","--","18,886","--"
-"Unintentional Firearm","85+","Minnesota","White","--","116,597","--"
-"Unintentional Firearm","85+","Minnesota","Black","--","1,982","--"
-"Unintentional Firearm","85+","Mississippi","White","--","38,975","--"
-"Unintentional Firearm","85+","Mississippi","Black","--","11,845","--"
-"Unintentional Firearm","85+","Missouri","White","--","115,067","--"
-"Unintentional Firearm","85+","Missouri","Black","--","8,621","--"
-"Unintentional Firearm","85+","Montana","White","--","21,673","--"
-"Unintentional Firearm","85+","Montana","Black","--","35","--"
-"Unintentional Firearm","85+","Nebraska","White","--","39,212","--"
-"Unintentional Firearm","85+","Nebraska","Black","--","747","--"
-"Unintentional Firearm","85+","Nevada","White","--","37,663","--"
-"Unintentional Firearm","85+","Nevada","Black","--","2,916","--"
-"Unintentional Firearm","85+","New Hampshire","White","--","29,437","--"
-"Unintentional Firearm","85+","New Hampshire","Black","--","126","--"
-"Unintentional Firearm","85+","New Jersey","White","--","163,370","--"
-"Unintentional Firearm","85+","New Jersey","Black","--","18,968","--"
-"Unintentional Firearm","85+","New Mexico","White","--","36,506","--"
-"Unintentional Firearm","85+","New Mexico","Black","--","567","--"
-"Unintentional Firearm","85+","New York","White","--","357,100","--"
-"Unintentional Firearm","85+","New York","Black","--","58,879","--"
-"Unintentional Firearm","85+","North Carolina","White","--","153,825","--"
-"Unintentional Firearm","85+","North Carolina","Black","--","27,478","--"
-"Unintentional Firearm","85+","North Dakota","White","--","17,891","--"
-"Unintentional Firearm","85+","North Dakota","Black","--","35","--"
-"Unintentional Firearm","85+","Ohio","White","--","214,237","--"
-"Unintentional Firearm","85+","Ohio","Black","--","21,021","--"
-"Unintentional Firearm","85+","Oklahoma","White","--","62,111","--"
-"Unintentional Firearm","85+","Oklahoma","Black","--","2,781","--"
-"Unintentional Firearm","85+","Oregon","White","--","77,219","--"
-"Unintentional Firearm","85+","Oregon","Black","--","755","--"
-"Unintentional Firearm","85+","Pennsylvania","White","--","283,200","--"
-"Unintentional Firearm","85+","Pennsylvania","Black","--","19,606","--"
-"Unintentional Firearm","85+","Rhode Island","White","--","24,191","--"
-"Unintentional Firearm","85+","Rhode Island","Black","--","1,124","--"
-"Unintentional Firearm","85+","South Carolina","White","--","74,055","--"
-"Unintentional Firearm","85+","South Carolina","Black","--","16,459","--"
-"Unintentional Firearm","85+","South Dakota","White","--","19,141","--"
-"Unintentional Firearm","85+","South Dakota","Black","--","36","--"
-"Unintentional Firearm","85+","Tennessee","White","--","104,678","--"
-"Unintentional Firearm","85+","Tennessee","Black","--","11,564","--"
-"Unintentional Firearm","85+","Texas","White","--","180,669","--"
-"Unintentional Firearm","85+","Texas","Black","--","21,581","--"
-"Unintentional Firearm","85+","Utah","White","--","37,176","--"
-"Unintentional Firearm","85+","Utah","Black","--","180","--"
-"Unintentional Firearm","85+","Vermont","White","--","14,067","--"
-"Unintentional Firearm","85+","Vermont","Black","--","60","--"
-"Unintentional Firearm","85+","Virginia","White","--","124,985","--"
-"Unintentional Firearm","85+","Virginia","Black","--","21,837","--"
-"Unintentional Firearm","85+","Washington","White","--","118,907","--"
-"Unintentional Firearm","85+","Washington","Black","--","2,387","--"
-"Unintentional Firearm","85+","West Virginia","White","--","37,099","--"
-"Unintentional Firearm","85+","West Virginia","Black","--","789","--"
-"Unintentional Firearm","85+","Wisconsin","White","--","117,313","--"
-"Unintentional Firearm","85+","Wisconsin","Black","--","2,800","--"
-"Unintentional Firearm","85+","Wyoming","White","--","10,036","--"
-"Unintentional Firearm","85+","Wyoming","Black","--","59","--"
-"Unintentional Firearm","Unknown","Alabama","White","-","-","-"
-"Unintentional Firearm","Unknown","Alabama","Black","-","-","-"
-"Unintentional Firearm","Unknown","Alaska","White","-","-","-"
-"Unintentional Firearm","Unknown","Alaska","Black","-","-","-"
-"Unintentional Firearm","Unknown","Arizona","White","-","-","-"
-"Unintentional Firearm","Unknown","Arizona","Black","-","-","-"
-"Unintentional Firearm","Unknown","Arkansas","White","-","-","-"
-"Unintentional Firearm","Unknown","Arkansas","Black","-","-","-"
-"Unintentional Firearm","Unknown","California","White","-","-","-"
-"Unintentional Firearm","Unknown","California","Black","-","-","-"
-"Unintentional Firearm","Unknown","Colorado","White","-","-","-"
-"Unintentional Firearm","Unknown","Colorado","Black","-","-","-"
-"Unintentional Firearm","Unknown","Connecticut","White","-","-","-"
-"Unintentional Firearm","Unknown","Connecticut","Black","-","-","-"
-"Unintentional Firearm","Unknown","Delaware","White","-","-","-"
-"Unintentional Firearm","Unknown","Delaware","Black","-","-","-"
-"Unintentional Firearm","Unknown","District of Columbia","White","-","-","-"
-"Unintentional Firearm","Unknown","District of Columbia","Black","-","-","-"
-"Unintentional Firearm","Unknown","Florida","White","-","-","-"
-"Unintentional Firearm","Unknown","Florida","Black","-","-","-"
-"Unintentional Firearm","Unknown","Georgia","White","-","-","-"
-"Unintentional Firearm","Unknown","Georgia","Black","-","-","-"
-"Unintentional Firearm","Unknown","Hawaii","White","-","-","-"
-"Unintentional Firearm","Unknown","Hawaii","Black","-","-","-"
-"Unintentional Firearm","Unknown","Idaho","White","-","-","-"
-"Unintentional Firearm","Unknown","Idaho","Black","-","-","-"
-"Unintentional Firearm","Unknown","Illinois","White","-","-","-"
-"Unintentional Firearm","Unknown","Illinois","Black","-","-","-"
-"Unintentional Firearm","Unknown","Indiana","White","-","-","-"
-"Unintentional Firearm","Unknown","Indiana","Black","-","-","-"
-"Unintentional Firearm","Unknown","Iowa","White","-","-","-"
-"Unintentional Firearm","Unknown","Iowa","Black","-","-","-"
-"Unintentional Firearm","Unknown","Kansas","White","-","-","-"
-"Unintentional Firearm","Unknown","Kansas","Black","-","-","-"
-"Unintentional Firearm","Unknown","Kentucky","White","-","-","-"
-"Unintentional Firearm","Unknown","Kentucky","Black","-","-","-"
-"Unintentional Firearm","Unknown","Louisiana","White","-","-","-"
-"Unintentional Firearm","Unknown","Louisiana","Black","-","-","-"
-"Unintentional Firearm","Unknown","Maine","White","-","-","-"
-"Unintentional Firearm","Unknown","Maine","Black","-","-","-"
-"Unintentional Firearm","Unknown","Maryland","White","-","-","-"
-"Unintentional Firearm","Unknown","Maryland","Black","-","-","-"
-"Unintentional Firearm","Unknown","Massachusetts","White","-","-","-"
-"Unintentional Firearm","Unknown","Massachusetts","Black","-","-","-"
-"Unintentional Firearm","Unknown","Michigan","White","-","-","-"
-"Unintentional Firearm","Unknown","Michigan","Black","-","-","-"
-"Unintentional Firearm","Unknown","Minnesota","White","-","-","-"
-"Unintentional Firearm","Unknown","Minnesota","Black","-","-","-"
-"Unintentional Firearm","Unknown","Mississippi","White","-","-","-"
-"Unintentional Firearm","Unknown","Mississippi","Black","-","-","-"
-"Unintentional Firearm","Unknown","Missouri","White","-","-","-"
-"Unintentional Firearm","Unknown","Missouri","Black","-","-","-"
-"Unintentional Firearm","Unknown","Montana","White","-","-","-"
-"Unintentional Firearm","Unknown","Montana","Black","-","-","-"
-"Unintentional Firearm","Unknown","Nebraska","White","-","-","-"
-"Unintentional Firearm","Unknown","Nebraska","Black","-","-","-"
-"Unintentional Firearm","Unknown","Nevada","White","-","-","-"
-"Unintentional Firearm","Unknown","Nevada","Black","-","-","-"
-"Unintentional Firearm","Unknown","New Hampshire","White","-","-","-"
-"Unintentional Firearm","Unknown","New Hampshire","Black","-","-","-"
-"Unintentional Firearm","Unknown","New Jersey","White","-","-","-"
-"Unintentional Firearm","Unknown","New Jersey","Black","-","-","-"
-"Unintentional Firearm","Unknown","New Mexico","White","-","-","-"
-"Unintentional Firearm","Unknown","New Mexico","Black","-","-","-"
-"Unintentional Firearm","Unknown","New York","White","-","-","-"
-"Unintentional Firearm","Unknown","New York","Black","-","-","-"
-"Unintentional Firearm","Unknown","North Carolina","White","-","-","-"
-"Unintentional Firearm","Unknown","North Carolina","Black","-","-","-"
-"Unintentional Firearm","Unknown","North Dakota","White","-","-","-"
-"Unintentional Firearm","Unknown","North Dakota","Black","-","-","-"
-"Unintentional Firearm","Unknown","Ohio","White","-","-","-"
-"Unintentional Firearm","Unknown","Ohio","Black","-","-","-"
-"Unintentional Firearm","Unknown","Oklahoma","White","-","-","-"
-"Unintentional Firearm","Unknown","Oklahoma","Black","-","-","-"
-"Unintentional Firearm","Unknown","Oregon","White","-","-","-"
-"Unintentional Firearm","Unknown","Oregon","Black","-","-","-"
-"Unintentional Firearm","Unknown","Pennsylvania","White","-","-","-"
-"Unintentional Firearm","Unknown","Pennsylvania","Black","-","-","-"
-"Unintentional Firearm","Unknown","Rhode Island","White","-","-","-"
-"Unintentional Firearm","Unknown","Rhode Island","Black","-","-","-"
-"Unintentional Firearm","Unknown","South Carolina","White","-","-","-"
-"Unintentional Firearm","Unknown","South Carolina","Black","-","-","-"
-"Unintentional Firearm","Unknown","South Dakota","White","-","-","-"
-"Unintentional Firearm","Unknown","South Dakota","Black","-","-","-"
-"Unintentional Firearm","Unknown","Tennessee","White","-","-","-"
-"Unintentional Firearm","Unknown","Tennessee","Black","-","-","-"
-"Unintentional Firearm","Unknown","Texas","White","-","-","-"
-"Unintentional Firearm","Unknown","Texas","Black","-","-","-"
-"Unintentional Firearm","Unknown","Utah","White","-","-","-"
-"Unintentional Firearm","Unknown","Utah","Black","-","-","-"
-"Unintentional Firearm","Unknown","Vermont","White","-","-","-"
-"Unintentional Firearm","Unknown","Vermont","Black","-","-","-"
-"Unintentional Firearm","Unknown","Virginia","White","-","-","-"
-"Unintentional Firearm","Unknown","Virginia","Black","-","-","-"
-"Unintentional Firearm","Unknown","Washington","White","-","-","-"
-"Unintentional Firearm","Unknown","Washington","Black","-","-","-"
-"Unintentional Firearm","Unknown","West Virginia","White","-","-","-"
-"Unintentional Firearm","Unknown","West Virginia","Black","-","-","-"
-"Unintentional Firearm","Unknown","Wisconsin","White","-","-","-"
-"Unintentional Firearm","Unknown","Wisconsin","Black","-","-","-"
-"Unintentional Firearm","Unknown","Wyoming","White","-","-","-"
-"Unintentional Firearm","Unknown","Wyoming","Black","-","-","-"
-"Total","","","","65,062","270,130,382","24.09"
-"","","","","","",""
-"Report Type: Rates and Counts","","","","","",""
-"Data Years: 2022","","","","","",""
-"Geography: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming","","","","","",""
-"Intent or Manner: All Intents","","","","","",""
-"Cause or Mechanism: All Injury","","","","","",""
-"Sex: All Sexes","","","","","",""
-"Race: White, Black","","","","","",""
-"Ethnicity: All Ethnicities","","","","","",""
-"Place of Injury: All","","","","","",""
-"Relationship of Victim to Suspect: All Relationships","","","","","",""
-"Pregnancy Status: All","","","","","",""
-"Homeless Status: All","","","","","",""
-"Military Status: All","","","","","",""
-"Reports for All Ages include those of unknown age. Manner of death reported here is assigned by the state abstractor based on all available standard NVDRS data sources.","","","","","",""
-"Pregnancy Status is for females of reproductive age, 15 to 49.","","","","","",""
-"Notation:","","","","","",""
-" - No population estimate/rate not applicable.","","","","","",""
-"** indicates unstable value (<=20 deaths).","","","","","",""
-"-- The number of deaths fewer than 10, the number has been suppressed to retain confidentiality.","","","","","",""
-"Three states collected data on >=80% of violent deaths in state, in accordance with requirements under which the state was funded: WA (2015-2017), IL and PA (2015-2019). Data for California (CA) are for violent deaths that occurred in four counties in 2017, 21 counties in 2018, 30 counties in 2019, 35 counties in 2020, 31 counties in 2021, and 32 counties in 2022. Data for Florida are for violent deaths that occurred in 32 counties in 2022. Data for Texas are for violent deaths that occurred in four counties in 2020, 13 counties in 2021, and 13 counties in 2022. Denominators for the rates for these states represent only the populations of the counties from which the data were collected.","","","","","",""
-"Incident: One or more related deaths meeting NVDRS case definitions occurring within the same 24 hours.","","","","","",""
-"Legal intervention death: ICD-10 term for death resulting from law enforcement actions; does not denote lawfulness.","","","","","",""
-"Undetermined intent: Death for which evidence indicating one manner of death is no more compelling than evidence indicating another.","","","","","",""
-"Crude rate: Total number of cases or deaths divided by the total population and multiplied by 100,000.","","","","","",""
-"Age-adjusted rate: Population age distribution varies by time/geographic area. Age adjusting rates accounts for this using 2000 Census standard population, all races, both sexes.","","","","","",""
-"Age-adjusted rates are a method that standardizes death rates based on the distribution of age groups in the U. S. population and therefore do not apply when results are grouped by Age or Age Group.","","","","","",""
-"Data sources:","","","","","",""
-"National Center for Health Statistics-CDC annual mortality data files for WISQARS Fatal data.","","","","","",""
-"National Violent Death Reporting System (NVDRS) for Number of Deaths.","","","","","",""
-"Bureau of Census for Population Estimates.","","","","","",""
-"Produced by: Data Analytics Branch, National Center for Injury Prevention and Control, CDC.","","","","","",""
-"Produced by: National Center for Injury Prevention and Control, CDC.","","","","","",""
\ No newline at end of file
diff --git a/data/yrbss/ingest.R b/data/yrbss/ingest.R
index 26982fae7..8ef195674 100644
--- a/data/yrbss/ingest.R
+++ b/data/yrbss/ingest.R
@@ -126,13 +126,9 @@ measure_dict <- tibble::tribble(
 )
 
 # -----------------------------------------------------------------------------
-# Initialize process record (creates process.json if it doesn't exist)
+# Initialize process record (process.json is created by dcf::dcf_add_source())
 # -----------------------------------------------------------------------------
-if (!file.exists("process.json")) {
-  process <- list(raw_state = NULL)
-} else {
-  process <- dcf::dcf_process_record()
-}
+process <- dcf::dcf_process_record()
 
 # Small wrapper: fetch a URL as parsed JSON, retrying once on failure.
 fetch_json <- function(url) {
diff --git a/data/yrbss/process.json b/data/yrbss/process.json
index 03ae16a8c..a01ae7342 100644
--- a/data/yrbss/process.json
+++ b/data/yrbss/process.json
@@ -1,4 +1,38 @@
 {
+  "name": "yrbss",
+  "type": "source",
+  "scripts": [
+    {
+      "path": "ingest.R",
+      "manual": false,
+      "frequency": 0,
+      "last_run": "",
+      "run_time": "",
+      "last_status": {
+        "log": "",
+        "success": true
+      }
+    }
+  ],
+  "checked": "2026-07-24 19:27:36",
+  "check_results": {
+    "data/yrbss/standard/data_age_ethnicity.csv.gz": {
+      "measures": [
+        "missing_info: age",
+        "missing_info: race_ethnicity"
+      ]
+    },
+    "data/yrbss/standard/data_age_sex.csv.gz": {
+      "measures": [
+        "missing_info: age",
+        "missing_info: sex"
+      ]
+    },
+    "data/yrbss/standard/data_age.csv.gz": {
+      "measures": "missing_info: age"
+    }
+  },
+  "standalone": false,
   "raw_state": {
     "sig": {
       "years": [
@@ -76,24 +110,10 @@
     },
     "hash": "d800b478743301348913f50443e07b30"
   },
-  "type": "source",
-  "name": ".",
   "standard_state": {
     "./data/yrbss/measure_info.json": "b160f81f1f8363ac83cdc21e608f2e89",
     "./data/yrbss/standard/data_age_ethnicity.csv.gz": "87aea7236da2c5af2c37c9df76e8b1a0",
     "./data/yrbss/standard/data_age_sex.csv.gz": "7cc09e67789eeeee3e1eda832f05e53e",
     "./data/yrbss/standard/data_age.csv.gz": "f86e5f1633aa66729588473f8b5b7f88"
-  },
-  "checked": "2026-07-24 19:27:36",
-  "check_results": {
-    "data/yrbss/standard/data_age_ethnicity.csv.gz": {
-      "measures": ["missing_info: age", "missing_info: race_ethnicity"]
-    },
-    "data/yrbss/standard/data_age_sex.csv.gz": {
-      "measures": ["missing_info: age", "missing_info: sex"]
-    },
-    "data/yrbss/standard/data_age.csv.gz": {
-      "measures": "missing_info: age"
-    }
   }
 }
diff --git a/docs/index.html b/docs/index.html
index e0460c718..f8c1037f5 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -33,9 +33,6 @@
           <div class="position-sticky">
             <h6 class="sidebar-heading px-3 mt-1 mb-1 text-muted">Data Sources</h6>
             <ul class="nav flex-column nav-pills">
-              <li class="nav-item">
-                <a class="nav-link" href="#-"> </a>
-              </li>
               <li class="nav-item">
                 <a class="nav-link" href="#abcs">Abcs</a>
               </li>
@@ -99,9 +96,6 @@ <h6 class="sidebar-heading px-3 mt-1 mb-1 text-muted">Data Sources</h6>
               <li class="nav-item">
                 <a class="nav-link" href="#gtrends">Gtrends</a>
               </li>
-              <li class="nav-item">
-                <a class="nav-link" href="#heat-risk">Heat Risk</a>
-              </li>
               <li class="nav-item">
                 <a class="nav-link" href="#kinsa-ili">Kinsa ILI</a>
               </li>
@@ -232,10 +226,6 @@ <h1>PopHIVE Data Source Documentation</h1>
             </p>
             <hr/>
             <h2 class="text-muted mb-4" id="data-sources">Data Sources</h2>
-            <section id="-" class="mb-5">
-              <h2 class="border-bottom pb-2"> </h2>
-              <p class="text-muted">No standard data files found.</p>
-            </section>
             <section id="abcs" class="mb-5">
               <h2 class="border-bottom pb-2">Abcs</h2>
               <p class="lead">CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD. This table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2022. Cases are grouped into the following mutually exclusive age groups: age &lt;2 years old, age 2-4 years old, age 5-17 years old, age 18-49 years old, age 50-64 years old, and age &gt;=65 years old. ABCs methods and surveillance areas reporting IPD cases has changed over time. Given these changes, trends in serotype distribution by year and age group should be interpreted with caution. The all-site summary presented here is calculated based on the 8 sites that consistently report to ABCs and differs from the All-site measure provided by the source. Additional information on ABCs methods and surveillance population is available at https://www.cdc.gov/abcs/methodology/index.html. Analyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard at https://www.cdc.gov/abcs/bact-facts-interactive-dashboard. ABCs IPD Isolates were serotyped by Quellung, PCR, or whole genome sequencing (WGS). Cases without an isolate available or with mixed serotypes reported are listed on the table as MISS. Additionally, non-typeable IPD cases are shown as NT. Zero cell rows were not included in this dataset. Minor changes to previous years serotype data can occur as additional isolates and serotype data become available. Cases were excluded from this dataset if the ABCs site did not perform surveillance in the catchment area for a full calendar year. As a result, cases were excluded from the following sites: TN, 11 counties, Jul-Dec 1999; CO, 5 counties, Jul-Dec 2000; CA, 2 counties (aged &lt;5 years), Oct-Dec 2000.</p>
@@ -832,132 +822,6 @@ <h5>Sources</h5>
                 Public domain. CDC data is generally not subject to copyright restrictions.
               </div>
               <h4 class="mt-4">Variables</h4>
-              <h5 class="mt-3">
-                <code>data_survey.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age</td>
-                      <td>Age group.</td>
-                      <td>integer</td>
-                      <td>years</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_diabetes_survey</code>
-                      </td>
-                      <td>Diabetes Prevalence (Survey)</td>
-                      <td>Estimated diabetes prevalence from BRFSS survey data.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_diabetes_survey_lcl</code>
-                      </td>
-                      <td>Diabetes Prevalence Lower CI</td>
-                      <td>Lower bound of 95% confidence interval for diabetes prevalence.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_diabetes_survey_ucl</code>
-                      </td>
-                      <td>Diabetes Prevalence Upper CI</td>
-                      <td>Upper bound of 95% confidence interval for diabetes prevalence.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_obesity_survey</code>
-                      </td>
-                      <td>Obesity Prevalence (Survey)</td>
-                      <td>Estimated obesity prevalence (BMI &gt;= 30) from BRFSS survey data.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_obesity_survey_lcl</code>
-                      </td>
-                      <td>Obesity Prevalence Lower CI</td>
-                      <td>Lower bound of 95% confidence interval for obesity prevalence.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>prev_obesity_survey_ucl</code>
-                      </td>
-                      <td>Obesity Prevalence Upper CI</td>
-                      <td>Upper bound of 95% confidence interval for obesity prevalence.</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>agec</code>
-                      </td>
-                      <td>Age Category</td>
-                      <td>Categorical age grouping used in survey analysis.</td>
-                      <td>categorical</td>
-                      <td>category</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size_diab</code>
-                      </td>
-                      <td>Sample Size (Diabetes)</td>
-                      <td>Number of survey respondents used to estimate diabetes prevalence.</td>
-                      <td>integer</td>
-                      <td>count</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size_obesity</code>
-                      </td>
-                      <td>Sample Size (Obesity)</td>
-                      <td>Number of survey respondents used to estimate obesity prevalence.</td>
-                      <td>integer</td>
-                      <td>count</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
               <h5 class="mt-3">
                 <code>data.csv.gz</code>
               </h5>
@@ -1147,6 +1011,132 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
+              <h5 class="mt-3">
+                <code>data_survey.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>age</code>
+                      </td>
+                      <td>Age</td>
+                      <td>Age group.</td>
+                      <td>integer</td>
+                      <td>years</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_diabetes_survey</code>
+                      </td>
+                      <td>Diabetes Prevalence (Survey)</td>
+                      <td>Estimated diabetes prevalence from BRFSS survey data.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_diabetes_survey_lcl</code>
+                      </td>
+                      <td>Diabetes Prevalence Lower CI</td>
+                      <td>Lower bound of 95% confidence interval for diabetes prevalence.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_diabetes_survey_ucl</code>
+                      </td>
+                      <td>Diabetes Prevalence Upper CI</td>
+                      <td>Upper bound of 95% confidence interval for diabetes prevalence.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_obesity_survey</code>
+                      </td>
+                      <td>Obesity Prevalence (Survey)</td>
+                      <td>Estimated obesity prevalence (BMI &gt;= 30) from BRFSS survey data.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_obesity_survey_lcl</code>
+                      </td>
+                      <td>Obesity Prevalence Lower CI</td>
+                      <td>Lower bound of 95% confidence interval for obesity prevalence.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>prev_obesity_survey_ucl</code>
+                      </td>
+                      <td>Obesity Prevalence Upper CI</td>
+                      <td>Upper bound of 95% confidence interval for obesity prevalence.</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>agec</code>
+                      </td>
+                      <td>Age Category</td>
+                      <td>Categorical age grouping used in survey analysis.</td>
+                      <td>categorical</td>
+                      <td>category</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size_diab</code>
+                      </td>
+                      <td>Sample Size (Diabetes)</td>
+                      <td>Number of survey respondents used to estimate diabetes prevalence.</td>
+                      <td>integer</td>
+                      <td>count</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size_obesity</code>
+                      </td>
+                      <td>Sample Size (Obesity)</td>
+                      <td>Number of survey respondents used to estimate obesity prevalence.</td>
+                      <td>integer</td>
+                      <td>count</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
             </section>
             <section id="cdc-cfa-rt" class="mb-5">
               <h2 class="border-bottom pb-2">CDC Cfa Rt</h2>
@@ -4885,7 +4875,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_state_county_age_by_race.csv.gz</code>
+                <code>data_state_county_age.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -5362,7 +5352,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_state_county_age_by_sex.csv.gz</code>
+                <code>data_state_county_age_by_race.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -5839,7 +5829,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_state_county_age.csv.gz</code>
+                <code>data_state_county_age_by_sex.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -11534,7 +11524,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_dma_year.csv.gz</code>
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -11568,82 +11558,82 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_drug+overdose</code>
+                        <code>gtrends_rsv_vaccine</code>
                       </td>
-                      <td>Google Search Volume: Drug Overdose</td>
-                      <td>Google search volume for the term drug overdose.</td>
+                      <td>Google Search Volume: rsv_vaccine</td>
+                      <td>Google search volume of the term rsv_vaccine.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_naloxone</code>
+                        <code>gtrends_9mm</code>
                       </td>
-                      <td>Google Search Volume: naloxone</td>
-                      <td>Google search volume of the term naloxone.</td>
+                      <td>Google Search Volume: 9mm</td>
+                      <td>Google search volume for the term 9mm.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_narcan</code>
+                        <code>gtrends_naloxone</code>
                       </td>
-                      <td>Google Search Volume: narcan</td>
-                      <td>Google search volume of the term narcan.</td>
+                      <td>Google Search Volume: naloxone</td>
+                      <td>Google search volume of the term naloxone.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_overdose</code>
+                        <code>gtrends_drug+overdose</code>
                       </td>
-                      <td>Google Search Volume: overdose</td>
-                      <td>Google search volume of the term overdose.</td>
+                      <td>Google Search Volume: Drug Overdose</td>
+                      <td>Google search volume for the term drug overdose.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_rsv_vaccine</code>
+                        <code>gtrends_heat+exhaustion</code>
                       </td>
-                      <td>Google Search Volume: rsv_vaccine</td>
-                      <td>Google search volume of the term rsv_vaccine.</td>
+                      <td>Google Search Volume: Heat Exhaustion</td>
+                      <td>Google search volume for the term heat exhaustion.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_rsv</code>
+                        <code>gtrends_heat+stroke</code>
                       </td>
-                      <td>Google Search Volume: rsv</td>
-                      <td>Google search volume of the term rsv.</td>
+                      <td>Google Search Volume: Heat Stroke</td>
+                      <td>Google search volume for the term heat stroke.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_heat+exhaustion</code>
+                        <code>gtrends_narcan</code>
                       </td>
-                      <td>Google Search Volume: Heat Exhaustion</td>
-                      <td>Google search volume for the term heat exhaustion.</td>
+                      <td>Google Search Volume: narcan</td>
+                      <td>Google search volume of the term narcan.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_heat+stroke</code>
+                        <code>gtrends_overdose</code>
                       </td>
-                      <td>Google Search Volume: Heat Stroke</td>
-                      <td>Google search volume for the term heat stroke.</td>
+                      <td>Google Search Volume: overdose</td>
+                      <td>Google search volume of the term overdose.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_9mm</code>
+                        <code>gtrends_rsv</code>
                       </td>
-                      <td>Google Search Volume: 9mm</td>
-                      <td>Google search volume for the term 9mm.</td>
+                      <td>Google Search Volume: rsv</td>
+                      <td>Google search volume of the term rsv.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
@@ -11656,6 +11646,15 @@ <h5 class="mt-3">
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_rsv_adjusted</code>
+                      </td>
+                      <td>Google Search Volume: rsv_adjusted</td>
+                      <td>Google search volume of the term rsv_adjusted.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
@@ -11786,7 +11785,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_year.csv.gz</code>
+                <code>data_dma_year.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -11818,33 +11817,6 @@ <h5 class="mt-3">
                       <td>date</td>
                       <td>date</td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_rsv_vaccine</code>
-                      </td>
-                      <td>Google Search Volume: rsv_vaccine</td>
-                      <td>Google search volume of the term rsv_vaccine.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_9mm</code>
-                      </td>
-                      <td>Google Search Volume: 9mm</td>
-                      <td>Google search volume for the term 9mm.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_naloxone</code>
-                      </td>
-                      <td>Google Search Volume: naloxone</td>
-                      <td>Google search volume of the term naloxone.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
                     <tr>
                       <td>
                         <code>gtrends_drug+overdose</code>
@@ -11856,19 +11828,10 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_heat+exhaustion</code>
-                      </td>
-                      <td>Google Search Volume: Heat Exhaustion</td>
-                      <td>Google search volume for the term heat exhaustion.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_heat+stroke</code>
+                        <code>gtrends_naloxone</code>
                       </td>
-                      <td>Google Search Volume: Heat Stroke</td>
-                      <td>Google search volume for the term heat stroke.</td>
+                      <td>Google Search Volume: naloxone</td>
+                      <td>Google search volume of the term naloxone.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
@@ -11890,69 +11853,6 @@ <h5 class="mt-3">
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_rsv</code>
-                      </td>
-                      <td>Google Search Volume: rsv</td>
-                      <td>Google search volume of the term rsv.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_shotgun</code>
-                      </td>
-                      <td>Google Search Volume: Shotgun</td>
-                      <td>Google search volume for the term shotgun.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_rsv_adjusted</code>
-                      </td>
-                      <td>Google Search Volume: rsv_adjusted</td>
-                      <td>Google search volume of the term rsv_adjusted.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>data.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
                     <tr>
                       <td>
                         <code>gtrends_rsv_vaccine</code>
@@ -11964,28 +11864,10 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_9mm</code>
-                      </td>
-                      <td>Google Search Volume: 9mm</td>
-                      <td>Google search volume for the term 9mm.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_naloxone</code>
-                      </td>
-                      <td>Google Search Volume: naloxone</td>
-                      <td>Google search volume of the term naloxone.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_drug+overdose</code>
+                        <code>gtrends_rsv</code>
                       </td>
-                      <td>Google Search Volume: Drug Overdose</td>
-                      <td>Google search volume for the term drug overdose.</td>
+                      <td>Google Search Volume: rsv</td>
+                      <td>Google search volume of the term rsv.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
@@ -12009,28 +11891,10 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>gtrends_narcan</code>
-                      </td>
-                      <td>Google Search Volume: narcan</td>
-                      <td>Google search volume of the term narcan.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_overdose</code>
-                      </td>
-                      <td>Google Search Volume: overdose</td>
-                      <td>Google search volume of the term overdose.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_rsv</code>
+                        <code>gtrends_9mm</code>
                       </td>
-                      <td>Google Search Volume: rsv</td>
-                      <td>Google search volume of the term rsv.</td>
+                      <td>Google Search Volume: 9mm</td>
+                      <td>Google search volume for the term 9mm.</td>
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
@@ -12043,43 +11907,165 @@ <h5 class="mt-3">
                       <td>probability</td>
                       <td>probability * 10M</td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>gtrends_rsv_adjusted</code>
-                      </td>
-                      <td>Google Search Volume: rsv_adjusted</td>
-                      <td>Google search volume of the term rsv_adjusted.</td>
-                      <td>probability</td>
-                      <td>probability * 10M</td>
-                    </tr>
                   </tbody>
                 </table>
               </div>
-            </section>
-            <section id="heat-risk" class="mb-5">
-              <h2 class="border-bottom pb-2">Heat Risk</h2>
-              <p class="text-muted">No standard data files found.</p>
-            </section>
-            <section id="kinsa-ili" class="mb-5">
-              <h2 class="border-bottom pb-2">Kinsa ILI</h2>
-              <p class="lead">Kinsa collects real-time illness data through its network of smart thermometers and a companion mobile app. Users who record a temperature reading are asked about accompanying symptoms. The Cough, Cold &amp; Flu signal aggregates self-reported symptom data from active users at the national level. Coverage depends on the geographic distribution of Kinsa device owners, which skews toward households with young children. Data are available daily from approximately 2018 onward.</p>
-              <h5>Sources</h5>
-              <ul class="list-unstyled">
-                <li>
-                  <a href="https://apiv2.kinsainsights.com/api/v1/docs" target="_blank">Data Source</a>
-                   | 
-                  <a href="https://www.kinsahealth.com" target="_blank">Kinsa</a>
-                   | 
-                  <a href="https://apiv2.kinsainsights.com/api/v1/docs" target="_blank">API/Data Location</a>
-                </li>
-              </ul>
-              <div class="alert alert-warning">
-                <strong>Restrictions: </strong>
-                Data can be re-used with appropriate attribution. A suggested citation relating to this data is 'Results of research performed with Kinsa Insights data were obtained via the PopHIVE platform (https://github.com/PopHIVE/Ingest).'
-              </div>
-              <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data.csv.gz</code>
+                <code>data_year.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_rsv_vaccine</code>
+                      </td>
+                      <td>Google Search Volume: rsv_vaccine</td>
+                      <td>Google search volume of the term rsv_vaccine.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_9mm</code>
+                      </td>
+                      <td>Google Search Volume: 9mm</td>
+                      <td>Google search volume for the term 9mm.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_naloxone</code>
+                      </td>
+                      <td>Google Search Volume: naloxone</td>
+                      <td>Google search volume of the term naloxone.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_drug+overdose</code>
+                      </td>
+                      <td>Google Search Volume: Drug Overdose</td>
+                      <td>Google search volume for the term drug overdose.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_heat+exhaustion</code>
+                      </td>
+                      <td>Google Search Volume: Heat Exhaustion</td>
+                      <td>Google search volume for the term heat exhaustion.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_heat+stroke</code>
+                      </td>
+                      <td>Google Search Volume: Heat Stroke</td>
+                      <td>Google search volume for the term heat stroke.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_narcan</code>
+                      </td>
+                      <td>Google Search Volume: narcan</td>
+                      <td>Google search volume of the term narcan.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_overdose</code>
+                      </td>
+                      <td>Google Search Volume: overdose</td>
+                      <td>Google search volume of the term overdose.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_rsv</code>
+                      </td>
+                      <td>Google Search Volume: rsv</td>
+                      <td>Google search volume of the term rsv.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_shotgun</code>
+                      </td>
+                      <td>Google Search Volume: Shotgun</td>
+                      <td>Google search volume for the term shotgun.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>gtrends_rsv_adjusted</code>
+                      </td>
+                      <td>Google Search Volume: rsv_adjusted</td>
+                      <td>Google search volume of the term rsv_adjusted.</td>
+                      <td>probability</td>
+                      <td>probability * 10M</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
+            </section>
+            <section id="kinsa-ili" class="mb-5">
+              <h2 class="border-bottom pb-2">Kinsa ILI</h2>
+              <p class="lead">Kinsa collects real-time illness data through its network of smart thermometers and a companion mobile app. Users who record a temperature reading are asked about accompanying symptoms. The Cough, Cold &amp; Flu signal aggregates self-reported symptom data from active users at the national level. Coverage depends on the geographic distribution of Kinsa device owners, which skews toward households with young children. Data are available daily from approximately 2018 onward.</p>
+              <h5>Sources</h5>
+              <ul class="list-unstyled">
+                <li>
+                  <a href="https://apiv2.kinsainsights.com/api/v1/docs" target="_blank">Data Source</a>
+                   | 
+                  <a href="https://www.kinsahealth.com" target="_blank">Kinsa</a>
+                   | 
+                  <a href="https://apiv2.kinsainsights.com/api/v1/docs" target="_blank">API/Data Location</a>
+                </li>
+              </ul>
+              <div class="alert alert-warning">
+                <strong>Restrictions: </strong>
+                Data can be re-used with appropriate attribution. A suggested citation relating to this data is 'Results of research performed with Kinsa Insights data were obtained via the PopHIVE platform (https://github.com/PopHIVE/Ingest).'
+              </div>
+              <h4 class="mt-4">Variables</h4>
+              <h5 class="mt-3">
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -12319,7 +12305,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_county.csv.gz</code>
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -12364,7 +12350,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_state.csv.gz</code>
+                <code>data_county.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -12409,7 +12395,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data.csv.gz</code>
+                <code>data_state.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -16536,7 +16522,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_county.csv.gz</code>
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -16568,6 +16554,51 @@ <h5 class="mt-3">
                       <td>date</td>
                       <td>date</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_cocaine</code>
+                      </td>
+                      <td>Cocaine overdose deaths</td>
+                      <td>12-month rolling total of provisional death counts involving cocaine.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_heroin</code>
+                      </td>
+                      <td>Heroin overdose deaths</td>
+                      <td>12-month rolling total of provisional death counts involving heroin.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_methadone</code>
+                      </td>
+                      <td>Methadone overdose deaths</td>
+                      <td>12-month rolling total of provisional death counts involving methadone.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_any_opioid</code>
+                      </td>
+                      <td>Opioid overdose deaths</td>
+                      <td>12-month rolling total of provisional death counts involving natural, semi-synthetic, or synthetic opioids including methadone.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_all_cause</code>
+                      </td>
+                      <td>All-cause deaths</td>
+                      <td>12-month rolling total of provisional all-cause death counts.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
                     <tr>
                       <td>
                         <code>n_deaths_overdose</code>
@@ -16579,12 +16610,12 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed</code>
+                        <code>pct_complete</code>
                       </td>
-                      <td>Drug overdose suppression flag</td>
-                      <td>Indicates whether the county drug overdose death count was suppressed by NCHS. Due to privacy protections, counts fewer than 10 are suppressed and imputed to be 5.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Percent complete</td>
+                      <td>Percentage of death records that have been fully processed for the reporting period.</td>
+                      <td>Percent</td>
+                      <td>Percent</td>
                     </tr>
                     <tr>
                       <td>
@@ -16595,11 +16626,128 @@ <h5 class="mt-3">
                       <td>Percent</td>
                       <td>Percent</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_heroin</code>
+                      </td>
+                      <td>Heroin suppression flag</td>
+                      <td>Indicates whether the heroin death count was suppressed by NCHS. </td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_methadone</code>
+                      </td>
+                      <td>Methadone suppression flag</td>
+                      <td>Indicates whether the methadone death count was suppressed by NCHS.</td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_cocaine</code>
+                      </td>
+                      <td>Cocaine suppression flag</td>
+                      <td>Indicates whether the cocaine death count was suppressed by NCHS. </td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_any_opioid</code>
+                      </td>
+                      <td>Opioid suppression flag</td>
+                      <td>Indicates whether the opioid death count was suppressed by NCHS.</td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_all_cause</code>
+                      </td>
+                      <td>All-cause suppression flag</td>
+                      <td>Indicates whether the all-cause death count was suppressed by NCHS. </td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed_overdose</code>
+                      </td>
+                      <td>Drug overdose suppression flag (state)</td>
+                      <td>Indicates whether the state drug overdose death count was suppressed by NCHS.</td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_state_21_causes.csv.gz</code>
+                <code>data_county.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>n_deaths_overdose</code>
+                      </td>
+                      <td>Drug overdose deaths</td>
+                      <td>Provisional count of drug overdose deaths. State-level data are 12-month rolling totals; county-level data are monthly.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed</code>
+                      </td>
+                      <td>Drug overdose suppression flag</td>
+                      <td>Indicates whether the county drug overdose death count was suppressed by NCHS. Due to privacy protections, counts fewer than 10 are suppressed and imputed to be 5.</td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>pct_pending_invest</code>
+                      </td>
+                      <td>Percent pending investigation</td>
+                      <td>Percentage of death records still pending investigation for the reporting period.</td>
+                      <td>Percent</td>
+                      <td>Percent</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
+              <h5 class="mt-3">
+                <code>data_state_21_causes.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -16823,8 +16971,27 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
+            </section>
+            <section id="neiss" class="mb-5">
+              <h2 class="border-bottom pb-2">Neiss</h2>
+              <p class="lead">NEISS is a national probability sample of hospital emergency departments (~100 of the ~5,000+ U.S. hospitals with 24-hour EDs) operated by the U.S. Consumer Product Safety Commission. Each sampled record describes an injury treated in the ED, including patient age, sex, race, Hispanic ethnicity (added 2019), diagnosis, body part, disposition, up to three associated consumer products, and a statistical weight (plus sampling stratum and PSU). Sample weights scale records to national estimates; raw record counts are not nationally representative. This dataset covers treatment years from 2019 through the latest year CPSC has posted (auto-detected at ingest time), aggregated to national (geography='00') annual counts, in wide format: one neiss_n_ (raw sampled count) and one neiss_wt_ (weighted national estimate) column per primary-diagnosis or primary-product-group category. Product groups are reconstructed from NEISS product-code bands and are approximate, not an official CPSC taxonomy. Companion _rate files (data_*_rate.csv.gz) give injury rates per 100,000 population stratified by age and sex only, using the weighted estimate as numerator and a constant national age x sex population (mean of U.S. Census Vintage 2023 estimates, 2020-2023) as denominator.</p>
+              <h5>Sources</h5>
+              <ul class="list-unstyled">
+                <li>
+                  <a href="https://www.cpsc.gov/Research--Statistics/NEISS-Injury-Data" target="_blank">Data Source</a>
+                   | 
+                  <a href="https://www.cpsc.gov/" target="_blank">U.S. Consumer Product Safety Commission (CPSC)</a>
+                   | 
+                  <a href="https://www.cpsc.gov/cgibin/NEISSQuery/" target="_blank">API/Data Location</a>
+                </li>
+              </ul>
+              <div class="alert alert-warning">
+                <strong>Restrictions: </strong>
+                Public domain. NEISS data are produced by the U.S. Consumer Product Safety Commission and are generally not subject to copyright restrictions.
+              </div>
+              <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data.csv.gz</code>
+                <code>data_agegroup_diagnosis.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -16858,868 +17025,363 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_cocaine</code>
+                        <code>age</code>
                       </td>
-                      <td>Cocaine overdose deaths</td>
-                      <td>12-month rolling total of provisional death counts involving cocaine.</td>
-                      <td>Count</td>
-                      <td>Deaths</td>
+                      <td>Age</td>
+                      <td>Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.</td>
+                      <td>categorical</td>
+                      <td>category</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_heroin</code>
+                        <code>sex</code>
                       </td>
-                      <td>Heroin overdose deaths</td>
-                      <td>12-month rolling total of provisional death counts involving heroin.</td>
-                      <td>Count</td>
-                      <td>Deaths</td>
+                      <td>Sex</td>
+                      <td>Patient sex (Male, Female, Unknown).</td>
+                      <td>categorical</td>
+                      <td>category</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_methadone</code>
+                        <code>race</code>
                       </td>
-                      <td>Methadone overdose deaths</td>
-                      <td>12-month rolling total of provisional death counts involving methadone.</td>
-                      <td>Count</td>
-                      <td>Deaths</td>
+                      <td>Race</td>
+                      <td>Patient race; 'Not stated' means race was not recorded (treat as missing).</td>
+                      <td>categorical</td>
+                      <td>category</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_any_opioid</code>
+                        <code>hispanic</code>
                       </td>
-                      <td>Opioid overdose deaths</td>
-                      <td>12-month rolling total of provisional death counts involving natural, semi-synthetic, or synthetic opioids including methadone.</td>
-                      <td>Count</td>
-                      <td>Deaths</td>
+                      <td>Hispanic ethnicity</td>
+                      <td>Hispanic ethnicity (Hispanic, Non-Hispanic, Unknown); added to NEISS in 2019.</td>
+                      <td>categorical</td>
+                      <td>category</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_all_cause</code>
+                        <code>neiss_n_other_or_not_stated</code>
                       </td>
-                      <td>All-cause deaths</td>
-                      <td>12-month rolling total of provisional all-cause death counts.</td>
+                      <td>Other or not stated injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of other or not stated in the stratum.</td>
                       <td>Count</td>
-                      <td>Deaths</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_overdose</code>
+                        <code>neiss_n_strain_sprain</code>
                       </td>
-                      <td>Drug overdose deaths</td>
-                      <td>Provisional count of drug overdose deaths. State-level data are 12-month rolling totals; county-level data are monthly.</td>
+                      <td>Strain or sprain injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of strain or sprain in the stratum.</td>
                       <td>Count</td>
-                      <td>Deaths</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_complete</code>
+                        <code>neiss_n_burns_scald</code>
                       </td>
-                      <td>Percent complete</td>
-                      <td>Percentage of death records that have been fully processed for the reporting period.</td>
-                      <td>Percent</td>
-                      <td>Percent</td>
+                      <td>Scald burns injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of scald burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_pending_invest</code>
+                        <code>neiss_n_burns_thermal</code>
                       </td>
-                      <td>Percent pending investigation</td>
-                      <td>Percentage of death records still pending investigation for the reporting period.</td>
-                      <td>Percent</td>
-                      <td>Percent</td>
+                      <td>Thermal burns injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of thermal burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_heroin</code>
+                        <code>neiss_n_concussion</code>
                       </td>
-                      <td>Heroin suppression flag</td>
-                      <td>Indicates whether the heroin death count was suppressed by NCHS. </td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Concussion injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of concussion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_methadone</code>
+                        <code>neiss_n_contusion_or_abrasion</code>
                       </td>
-                      <td>Methadone suppression flag</td>
-                      <td>Indicates whether the methadone death count was suppressed by NCHS.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Contusion or abrasion injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of contusion or abrasion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_cocaine</code>
+                        <code>neiss_n_dental_injury</code>
                       </td>
-                      <td>Cocaine suppression flag</td>
-                      <td>Indicates whether the cocaine death count was suppressed by NCHS. </td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Dental injury injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dental injury in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_any_opioid</code>
+                        <code>neiss_n_dislocation</code>
                       </td>
-                      <td>Opioid suppression flag</td>
-                      <td>Indicates whether the opioid death count was suppressed by NCHS.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Dislocation injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dislocation in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_all_cause</code>
+                        <code>neiss_n_foreign_body</code>
                       </td>
-                      <td>All-cause suppression flag</td>
-                      <td>Indicates whether the all-cause death count was suppressed by NCHS. </td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Foreign body injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of foreign body in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed_overdose</code>
+                        <code>neiss_n_fracture</code>
                       </td>
-                      <td>Drug overdose suppression flag (state)</td>
-                      <td>Indicates whether the state drug overdose death count was suppressed by NCHS.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Fracture injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of fracture in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
-                  </tbody>
-                </table>
-              </div>
-            </section>
-            <section id="neiss" class="mb-5">
-              <h2 class="border-bottom pb-2">Neiss</h2>
-              <p class="lead">NEISS is a national probability sample of hospital emergency departments (~100 of the ~5,000+ U.S. hospitals with 24-hour EDs) operated by the U.S. Consumer Product Safety Commission. Each sampled record describes an injury treated in the ED, including patient age, sex, race, Hispanic ethnicity (added 2019), diagnosis, body part, disposition, up to three associated consumer products, and a statistical weight (plus sampling stratum and PSU). Sample weights scale records to national estimates; raw record counts are not nationally representative. This dataset covers treatment years from 2019 through the latest year CPSC has posted (auto-detected at ingest time), aggregated to national (geography='00') annual counts, in wide format: one neiss_n_ (raw sampled count) and one neiss_wt_ (weighted national estimate) column per primary-diagnosis or primary-product-group category. Product groups are reconstructed from NEISS product-code bands and are approximate, not an official CPSC taxonomy. Companion _rate files (data_*_rate.csv.gz) give injury rates per 100,000 population stratified by age and sex only, using the weighted estimate as numerator and a constant national age x sex population (mean of U.S. Census Vintage 2023 estimates, 2020-2023) as denominator.</p>
-              <h5>Sources</h5>
-              <ul class="list-unstyled">
-                <li>
-                  <a href="https://www.cpsc.gov/Research--Statistics/NEISS-Injury-Data" target="_blank">Data Source</a>
-                   | 
-                  <a href="https://www.cpsc.gov/" target="_blank">U.S. Consumer Product Safety Commission (CPSC)</a>
-                   | 
-                  <a href="https://www.cpsc.gov/cgibin/NEISSQuery/" target="_blank">API/Data Location</a>
-                </li>
-              </ul>
-              <div class="alert alert-warning">
-                <strong>Restrictions: </strong>
-                Public domain. NEISS data are produced by the U.S. Consumer Product Safety Commission and are generally not subject to copyright restrictions.
-              </div>
-              <h4 class="mt-4">Variables</h4>
-              <h5 class="mt-3">
-                <code>data_agegroup_diagnosis_rate.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
                     <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
+                      <td>
+                        <code>neiss_n_hematoma</code>
+                      </td>
+                      <td>Hematoma injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of hematoma in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
-                  </thead>
-                  <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>neiss_n_inter_organ_injury</code>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
+                      <td>Internal organ injury injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of internal organ injury in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>neiss_n_laceration</code>
                       </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
+                      <td>Laceration injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of laceration in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>neiss_n_poisoning</code>
                       </td>
-                      <td>Age</td>
-                      <td>Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.</td>
-                      <td>categorical</td>
-                      <td>category</td>
+                      <td>Poisoning injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of poisoning in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sex</code>
+                        <code>neiss_n_hemorrhage</code>
                       </td>
-                      <td>Sex</td>
-                      <td>Patient sex (Male, Female, Unknown).</td>
-                      <td>categorical</td>
-                      <td>category</td>
+                      <td>Hemorrhage injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of hemorrhage in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_amputation</code>
+                        <code>neiss_n_dermat_or_conj</code>
                       </td>
-                      <td>Amputation injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Dermatitis or conjunctivitis injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dermatitis or conjunctivitis in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_anoxia</code>
+                        <code>neiss_n_amputation</code>
                       </td>
-                      <td>Anoxia injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Amputation injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of amputation in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_aspirated_object</code>
+                        <code>neiss_n_anoxia</code>
                       </td>
-                      <td>Aspirated object injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Anoxia injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of anoxia in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_avulsion</code>
+                        <code>neiss_n_aspirated_object</code>
                       </td>
-                      <td>Avulsion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Aspirated object injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of aspirated object in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_chemical</code>
+                        <code>neiss_n_avulsion</code>
                       </td>
-                      <td>Chemical burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Avulsion injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of avulsion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_elec</code>
+                        <code>neiss_n_burns_chemical</code>
                       </td>
-                      <td>Electrical burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Chemical burns injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of chemical burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_radiation</code>
+                        <code>neiss_n_crushing</code>
                       </td>
-                      <td>Radiation burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Crushing injury injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of crushing injury in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_scald</code>
+                        <code>neiss_n_electric_shock</code>
                       </td>
-                      <td>Scald burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Electric shock injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of electric shock in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_thermal</code>
+                        <code>neiss_n_ingested_object</code>
                       </td>
-                      <td>Thermal burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Ingested object injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of ingested object in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_concussion</code>
+                        <code>neiss_n_puncture</code>
                       </td>
-                      <td>Concussion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Puncture injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of puncture in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_contusion_or_abrasion</code>
+                        <code>neiss_n_submersion</code>
                       </td>
-                      <td>Contusion or abrasion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Submersion injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of submersion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_crushing</code>
+                        <code>neiss_n_burns_elec</code>
                       </td>
-                      <td>Crushing injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Electrical burns injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of electrical burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_dental_injury</code>
+                        <code>neiss_n_burns_radiation</code>
                       </td>
-                      <td>Dental injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Radiation burns injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of radiation burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_dermat_or_conj</code>
+                        <code>neiss_n_nerve_damage</code>
                       </td>
-                      <td>Dermatitis or conjunctivitis injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Nerve damage injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of nerve damage in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_dislocation</code>
+                        <code>neiss_n_burns_not_spec</code>
                       </td>
-                      <td>Dislocation injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Burns (unspecified) injuries (sampled)</td>
+                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of burns (unspecified) in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_electric_shock</code>
+                        <code>neiss_wt_other_or_not_stated</code>
                       </td>
-                      <td>Electric shock injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Other or not stated injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of other or not stated in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_foreign_body</code>
+                        <code>neiss_wt_strain_sprain</code>
                       </td>
-                      <td>Foreign body injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Strain or sprain injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of strain or sprain in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_fracture</code>
+                        <code>neiss_wt_burns_scald</code>
                       </td>
-                      <td>Fracture injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Scald burns injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of scald burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_hematoma</code>
+                        <code>neiss_wt_burns_thermal</code>
                       </td>
-                      <td>Hematoma injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Thermal burns injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of thermal burns in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_hemorrhage</code>
+                        <code>neiss_wt_concussion</code>
                       </td>
-                      <td>Hemorrhage injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
+                      <td>Concussion injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of concussion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_ingested_object</code>
+                        <code>neiss_wt_contusion_or_abrasion</code>
                       </td>
-                      <td>Ingested object injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_inter_organ_injury</code>
-                      </td>
-                      <td>Internal organ injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_laceration</code>
-                      </td>
-                      <td>Laceration injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_nerve_damage</code>
-                      </td>
-                      <td>Nerve damage injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_other_or_not_stated</code>
-                      </td>
-                      <td>Other or not stated injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_poisoning</code>
-                      </td>
-                      <td>Poisoning injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_puncture</code>
-                      </td>
-                      <td>Puncture injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_strain_sprain</code>
-                      </td>
-                      <td>Strain or sprain injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_submersion</code>
-                      </td>
-                      <td>Submersion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_burns_not_spec</code>
-                      </td>
-                      <td>Burns (unspecified) injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>data_agegroup_diagnosis.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age</td>
-                      <td>Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.</td>
-                      <td>categorical</td>
-                      <td>category</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sex</code>
-                      </td>
-                      <td>Sex</td>
-                      <td>Patient sex (Male, Female, Unknown).</td>
-                      <td>categorical</td>
-                      <td>category</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>race</code>
-                      </td>
-                      <td>Race</td>
-                      <td>Patient race; 'Not stated' means race was not recorded (treat as missing).</td>
-                      <td>categorical</td>
-                      <td>category</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>hispanic</code>
-                      </td>
-                      <td>Hispanic ethnicity</td>
-                      <td>Hispanic ethnicity (Hispanic, Non-Hispanic, Unknown); added to NEISS in 2019.</td>
-                      <td>categorical</td>
-                      <td>category</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_other_or_not_stated</code>
-                      </td>
-                      <td>Other or not stated injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of other or not stated in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_strain_sprain</code>
-                      </td>
-                      <td>Strain or sprain injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of strain or sprain in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_scald</code>
-                      </td>
-                      <td>Scald burns injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of scald burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_thermal</code>
-                      </td>
-                      <td>Thermal burns injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of thermal burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_concussion</code>
-                      </td>
-                      <td>Concussion injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of concussion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_contusion_or_abrasion</code>
-                      </td>
-                      <td>Contusion or abrasion injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of contusion or abrasion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_dental_injury</code>
-                      </td>
-                      <td>Dental injury injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dental injury in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_dislocation</code>
-                      </td>
-                      <td>Dislocation injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dislocation in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_foreign_body</code>
-                      </td>
-                      <td>Foreign body injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of foreign body in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_fracture</code>
-                      </td>
-                      <td>Fracture injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of fracture in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_hematoma</code>
-                      </td>
-                      <td>Hematoma injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of hematoma in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_inter_organ_injury</code>
-                      </td>
-                      <td>Internal organ injury injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of internal organ injury in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_laceration</code>
-                      </td>
-                      <td>Laceration injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of laceration in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_poisoning</code>
-                      </td>
-                      <td>Poisoning injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of poisoning in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_hemorrhage</code>
-                      </td>
-                      <td>Hemorrhage injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of hemorrhage in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_dermat_or_conj</code>
-                      </td>
-                      <td>Dermatitis or conjunctivitis injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of dermatitis or conjunctivitis in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_amputation</code>
-                      </td>
-                      <td>Amputation injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of amputation in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_anoxia</code>
-                      </td>
-                      <td>Anoxia injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of anoxia in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_aspirated_object</code>
-                      </td>
-                      <td>Aspirated object injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of aspirated object in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_avulsion</code>
-                      </td>
-                      <td>Avulsion injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of avulsion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_chemical</code>
-                      </td>
-                      <td>Chemical burns injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of chemical burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_crushing</code>
-                      </td>
-                      <td>Crushing injury injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of crushing injury in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_electric_shock</code>
-                      </td>
-                      <td>Electric shock injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of electric shock in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_ingested_object</code>
-                      </td>
-                      <td>Ingested object injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of ingested object in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_puncture</code>
-                      </td>
-                      <td>Puncture injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of puncture in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_submersion</code>
-                      </td>
-                      <td>Submersion injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of submersion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_elec</code>
-                      </td>
-                      <td>Electrical burns injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of electrical burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_radiation</code>
-                      </td>
-                      <td>Radiation burns injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of radiation burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_nerve_damage</code>
-                      </td>
-                      <td>Nerve damage injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of nerve damage in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_n_burns_not_spec</code>
-                      </td>
-                      <td>Burns (unspecified) injuries (sampled)</td>
-                      <td>Raw count of NEISS-sampled ED injury visits with a primary diagnosis of burns (unspecified) in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_other_or_not_stated</code>
-                      </td>
-                      <td>Other or not stated injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of other or not stated in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_strain_sprain</code>
-                      </td>
-                      <td>Strain or sprain injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of strain or sprain in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_burns_scald</code>
-                      </td>
-                      <td>Scald burns injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of scald burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_burns_thermal</code>
-                      </td>
-                      <td>Thermal burns injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of thermal burns in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_concussion</code>
-                      </td>
-                      <td>Concussion injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of concussion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_wt_contusion_or_abrasion</code>
-                      </td>
-                      <td>Contusion or abrasion injuries (national est.)</td>
-                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of contusion or abrasion in the stratum.</td>
-                      <td>Count</td>
-                      <td>visits</td>
+                      <td>Contusion or abrasion injuries (national est.)</td>
+                      <td>Survey-weighted national estimate of ED injury visits with a primary diagnosis of contusion or abrasion in the stratum.</td>
+                      <td>Count</td>
+                      <td>visits</td>
                     </tr>
                     <tr>
                       <td>
@@ -17941,7 +17603,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_agegroup_product_rate.csv.gz</code>
+                <code>data_agegroup_diagnosis_rate.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -17993,145 +17655,271 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_chemicals</code>
+                        <code>neiss_rate_amputation</code>
                       </td>
-                      <td>Chemicals injury rate</td>
-                      <td>Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.</td>
+                      <td>Amputation injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_child_nursery_equipment</code>
+                        <code>neiss_rate_anoxia</code>
                       </td>
-                      <td>Child nursery equipment injury rate</td>
-                      <td>Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Anoxia injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_general_household_appliances</code>
+                        <code>neiss_rate_aspirated_object</code>
                       </td>
-                      <td>General household appliances injury rate</td>
-                      <td>Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Aspirated object injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_heating_cooling_ventilation</code>
+                        <code>neiss_rate_avulsion</code>
                       </td>
-                      <td>Heating, cooling &amp; ventilation injury rate</td>
-                      <td>Annual ED injury visits whose primary product was heating, cooling &amp; ventilation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Avulsion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_communication_entertainment_hobby</code>
+                        <code>neiss_rate_burns_chemical</code>
                       </td>
-                      <td>Home communication, entertainment &amp; hobby injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home communication, entertainment &amp; hobby per 100,000 U.S. population, by age and sex.</td>
+                      <td>Chemical burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_furnishings_fixtures</code>
+                        <code>neiss_rate_burns_elec</code>
                       </td>
-                      <td>Home furnishings &amp; fixtures injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home furnishings &amp; fixtures per 100,000 U.S. population, by age and sex.</td>
+                      <td>Electrical burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_structures_construction_materials</code>
+                        <code>neiss_rate_burns_radiation</code>
                       </td>
-                      <td>Home structures &amp; construction materials injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home structures &amp; construction materials per 100,000 U.S. population, by age and sex.</td>
+                      <td>Radiation burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_workshop_equipment_tools</code>
+                        <code>neiss_rate_burns_scald</code>
                       </td>
-                      <td>Home workshop equipment &amp; tools injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home workshop equipment &amp; tools per 100,000 U.S. population, by age and sex.</td>
+                      <td>Scald burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_housewares</code>
+                        <code>neiss_rate_burns_thermal</code>
                       </td>
-                      <td>Housewares injury rate</td>
-                      <td>Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.</td>
+                      <td>Thermal burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_kitchen_appliances</code>
+                        <code>neiss_rate_concussion</code>
                       </td>
-                      <td>Kitchen appliances injury rate</td>
-                      <td>Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Concussion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_other_unspecified</code>
+                        <code>neiss_rate_contusion_or_abrasion</code>
                       </td>
-                      <td>Other/unspecified product injury rate</td>
-                      <td>Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.</td>
+                      <td>Contusion or abrasion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_packaging_containers</code>
+                        <code>neiss_rate_crushing</code>
                       </td>
-                      <td>Packaging &amp; containers injury rate</td>
-                      <td>Annual ED injury visits whose primary product was packaging &amp; containers per 100,000 U.S. population, by age and sex.</td>
+                      <td>Crushing injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_personal_use_drugs_misc</code>
+                        <code>neiss_rate_dental_injury</code>
                       </td>
-                      <td>Personal use, drugs &amp; misc. injury rate</td>
-                      <td>Annual ED injury visits whose primary product was personal use, drugs &amp; misc. per 100,000 U.S. population, by age and sex.</td>
+                      <td>Dental injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_sports_recreation_activities</code>
+                        <code>neiss_rate_dermat_or_conj</code>
                       </td>
-                      <td>Sports &amp; recreation activities injury rate</td>
-                      <td>Annual ED injury visits whose primary product was sports &amp; recreation activities per 100,000 U.S. population, by age and sex.</td>
+                      <td>Dermatitis or conjunctivitis injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_sports_recreation_equipment_toys</code>
+                        <code>neiss_rate_dislocation</code>
                       </td>
-                      <td>Sports/recreation equipment &amp; toys injury rate</td>
-                      <td>Annual ED injury visits whose primary product was sports/recreation equipment &amp; toys per 100,000 U.S. population, by age and sex.</td>
+                      <td>Dislocation injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_yard_garden_equipment</code>
+                        <code>neiss_rate_electric_shock</code>
                       </td>
-                      <td>Yard &amp; garden equipment injury rate</td>
-                      <td>Annual ED injury visits whose primary product was yard &amp; garden equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Electric shock injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_foreign_body</code>
+                      </td>
+                      <td>Foreign body injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_fracture</code>
+                      </td>
+                      <td>Fracture injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_hematoma</code>
+                      </td>
+                      <td>Hematoma injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_hemorrhage</code>
+                      </td>
+                      <td>Hemorrhage injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_ingested_object</code>
+                      </td>
+                      <td>Ingested object injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_inter_organ_injury</code>
+                      </td>
+                      <td>Internal organ injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_laceration</code>
+                      </td>
+                      <td>Laceration injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_nerve_damage</code>
+                      </td>
+                      <td>Nerve damage injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_other_or_not_stated</code>
+                      </td>
+                      <td>Other or not stated injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_poisoning</code>
+                      </td>
+                      <td>Poisoning injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_puncture</code>
+                      </td>
+                      <td>Puncture injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_strain_sprain</code>
+                      </td>
+                      <td>Strain or sprain injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_submersion</code>
+                      </td>
+                      <td>Submersion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_burns_not_spec</code>
+                      </td>
+                      <td>Burns (unspecified) injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
@@ -18499,7 +18287,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_infant_diagnosis_rate.csv.gz</code>
+                <code>data_agegroup_product_rate.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -18551,271 +18339,145 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_fracture</code>
-                      </td>
-                      <td>Fracture injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_inter_organ_injury</code>
-                      </td>
-                      <td>Internal organ injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_laceration</code>
-                      </td>
-                      <td>Laceration injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_other_or_not_stated</code>
-                      </td>
-                      <td>Other or not stated injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_strain_sprain</code>
-                      </td>
-                      <td>Strain or sprain injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_anoxia</code>
-                      </td>
-                      <td>Anoxia injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_burns_thermal</code>
-                      </td>
-                      <td>Thermal burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_contusion_or_abrasion</code>
-                      </td>
-                      <td>Contusion or abrasion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_poisoning</code>
-                      </td>
-                      <td>Poisoning injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_aspirated_object</code>
-                      </td>
-                      <td>Aspirated object injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_burns_chemical</code>
-                      </td>
-                      <td>Chemical burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_burns_scald</code>
-                      </td>
-                      <td>Scald burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_concussion</code>
-                      </td>
-                      <td>Concussion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_dermat_or_conj</code>
-                      </td>
-                      <td>Dermatitis or conjunctivitis injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.</td>
-                      <td>Rate</td>
-                      <td>Injuries per 100,000 population</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>neiss_rate_foreign_body</code>
+                        <code>neiss_rate_chemicals</code>
                       </td>
-                      <td>Foreign body injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.</td>
+                      <td>Chemicals injury rate</td>
+                      <td>Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_hematoma</code>
+                        <code>neiss_rate_child_nursery_equipment</code>
                       </td>
-                      <td>Hematoma injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.</td>
+                      <td>Child nursery equipment injury rate</td>
+                      <td>Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_hemorrhage</code>
+                        <code>neiss_rate_general_household_appliances</code>
                       </td>
-                      <td>Hemorrhage injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.</td>
+                      <td>General household appliances injury rate</td>
+                      <td>Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_ingested_object</code>
+                        <code>neiss_rate_heating_cooling_ventilation</code>
                       </td>
-                      <td>Ingested object injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.</td>
+                      <td>Heating, cooling &amp; ventilation injury rate</td>
+                      <td>Annual ED injury visits whose primary product was heating, cooling &amp; ventilation per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_crushing</code>
+                        <code>neiss_rate_home_communication_entertainment_hobby</code>
                       </td>
-                      <td>Crushing injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.</td>
+                      <td>Home communication, entertainment &amp; hobby injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home communication, entertainment &amp; hobby per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_nerve_damage</code>
+                        <code>neiss_rate_home_furnishings_fixtures</code>
                       </td>
-                      <td>Nerve damage injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.</td>
+                      <td>Home furnishings &amp; fixtures injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home furnishings &amp; fixtures per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_submersion</code>
+                        <code>neiss_rate_home_structures_construction_materials</code>
                       </td>
-                      <td>Submersion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.</td>
+                      <td>Home structures &amp; construction materials injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home structures &amp; construction materials per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_dislocation</code>
+                        <code>neiss_rate_home_workshop_equipment_tools</code>
                       </td>
-                      <td>Dislocation injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Home workshop equipment &amp; tools injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home workshop equipment &amp; tools per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_avulsion</code>
+                        <code>neiss_rate_housewares</code>
                       </td>
-                      <td>Avulsion injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.</td>
+                      <td>Housewares injury rate</td>
+                      <td>Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_dental_injury</code>
+                        <code>neiss_rate_kitchen_appliances</code>
                       </td>
-                      <td>Dental injury injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.</td>
+                      <td>Kitchen appliances injury rate</td>
+                      <td>Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_puncture</code>
+                        <code>neiss_rate_other_unspecified</code>
                       </td>
-                      <td>Puncture injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.</td>
+                      <td>Other/unspecified product injury rate</td>
+                      <td>Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_amputation</code>
+                        <code>neiss_rate_packaging_containers</code>
                       </td>
-                      <td>Amputation injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Packaging &amp; containers injury rate</td>
+                      <td>Annual ED injury visits whose primary product was packaging &amp; containers per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_not_spec</code>
+                        <code>neiss_rate_personal_use_drugs_misc</code>
                       </td>
-                      <td>Burns (unspecified) injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.</td>
+                      <td>Personal use, drugs &amp; misc. injury rate</td>
+                      <td>Annual ED injury visits whose primary product was personal use, drugs &amp; misc. per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_electric_shock</code>
+                        <code>neiss_rate_sports_recreation_activities</code>
                       </td>
-                      <td>Electric shock injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.</td>
+                      <td>Sports &amp; recreation activities injury rate</td>
+                      <td>Annual ED injury visits whose primary product was sports &amp; recreation activities per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_elec</code>
+                        <code>neiss_rate_sports_recreation_equipment_toys</code>
                       </td>
-                      <td>Electrical burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.</td>
+                      <td>Sports/recreation equipment &amp; toys injury rate</td>
+                      <td>Annual ED injury visits whose primary product was sports/recreation equipment &amp; toys per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_burns_radiation</code>
+                        <code>neiss_rate_yard_garden_equipment</code>
                       </td>
-                      <td>Radiation burns injury rate</td>
-                      <td>Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.</td>
+                      <td>Yard &amp; garden equipment injury rate</td>
+                      <td>Annual ED injury visits whose primary product was yard &amp; garden equipment per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
@@ -19435,7 +19097,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_infant_product_rate.csv.gz</code>
+                <code>data_infant_diagnosis_rate.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -19487,145 +19149,271 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_furnishings_fixtures</code>
+                        <code>neiss_rate_fracture</code>
                       </td>
-                      <td>Home furnishings &amp; fixtures injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home furnishings &amp; fixtures per 100,000 U.S. population, by age and sex.</td>
+                      <td>Fracture injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_personal_use_drugs_misc</code>
+                        <code>neiss_rate_inter_organ_injury</code>
                       </td>
-                      <td>Personal use, drugs &amp; misc. injury rate</td>
-                      <td>Annual ED injury visits whose primary product was personal use, drugs &amp; misc. per 100,000 U.S. population, by age and sex.</td>
+                      <td>Internal organ injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_sports_recreation_activities</code>
+                        <code>neiss_rate_laceration</code>
                       </td>
-                      <td>Sports &amp; recreation activities injury rate</td>
-                      <td>Annual ED injury visits whose primary product was sports &amp; recreation activities per 100,000 U.S. population, by age and sex.</td>
+                      <td>Laceration injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_child_nursery_equipment</code>
+                        <code>neiss_rate_other_or_not_stated</code>
                       </td>
-                      <td>Child nursery equipment injury rate</td>
-                      <td>Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Other or not stated injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_housewares</code>
+                        <code>neiss_rate_strain_sprain</code>
                       </td>
-                      <td>Housewares injury rate</td>
-                      <td>Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.</td>
+                      <td>Strain or sprain injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_sports_recreation_equipment_toys</code>
+                        <code>neiss_rate_anoxia</code>
                       </td>
-                      <td>Sports/recreation equipment &amp; toys injury rate</td>
-                      <td>Annual ED injury visits whose primary product was sports/recreation equipment &amp; toys per 100,000 U.S. population, by age and sex.</td>
+                      <td>Anoxia injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_chemicals</code>
+                        <code>neiss_rate_burns_thermal</code>
                       </td>
-                      <td>Chemicals injury rate</td>
-                      <td>Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.</td>
+                      <td>Thermal burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_communication_entertainment_hobby</code>
+                        <code>neiss_rate_contusion_or_abrasion</code>
                       </td>
-                      <td>Home communication, entertainment &amp; hobby injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home communication, entertainment &amp; hobby per 100,000 U.S. population, by age and sex.</td>
+                      <td>Contusion or abrasion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_structures_construction_materials</code>
+                        <code>neiss_rate_poisoning</code>
                       </td>
-                      <td>Home structures &amp; construction materials injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home structures &amp; construction materials per 100,000 U.S. population, by age and sex.</td>
+                      <td>Poisoning injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_home_workshop_equipment_tools</code>
+                        <code>neiss_rate_aspirated_object</code>
                       </td>
-                      <td>Home workshop equipment &amp; tools injury rate</td>
-                      <td>Annual ED injury visits whose primary product was home workshop equipment &amp; tools per 100,000 U.S. population, by age and sex.</td>
+                      <td>Aspirated object injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_kitchen_appliances</code>
+                        <code>neiss_rate_burns_chemical</code>
                       </td>
-                      <td>Kitchen appliances injury rate</td>
-                      <td>Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Chemical burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_packaging_containers</code>
+                        <code>neiss_rate_burns_scald</code>
                       </td>
-                      <td>Packaging &amp; containers injury rate</td>
-                      <td>Annual ED injury visits whose primary product was packaging &amp; containers per 100,000 U.S. population, by age and sex.</td>
+                      <td>Scald burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_heating_cooling_ventilation</code>
+                        <code>neiss_rate_concussion</code>
                       </td>
-                      <td>Heating, cooling &amp; ventilation injury rate</td>
-                      <td>Annual ED injury visits whose primary product was heating, cooling &amp; ventilation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Concussion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_other_unspecified</code>
+                        <code>neiss_rate_dermat_or_conj</code>
                       </td>
-                      <td>Other/unspecified product injury rate</td>
-                      <td>Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.</td>
+                      <td>Dermatitis or conjunctivitis injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_yard_garden_equipment</code>
+                        <code>neiss_rate_foreign_body</code>
                       </td>
-                      <td>Yard &amp; garden equipment injury rate</td>
-                      <td>Annual ED injury visits whose primary product was yard &amp; garden equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Foreign body injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>neiss_rate_general_household_appliances</code>
+                        <code>neiss_rate_hematoma</code>
                       </td>
-                      <td>General household appliances injury rate</td>
-                      <td>Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Hematoma injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_hemorrhage</code>
+                      </td>
+                      <td>Hemorrhage injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_ingested_object</code>
+                      </td>
+                      <td>Ingested object injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_crushing</code>
+                      </td>
+                      <td>Crushing injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_nerve_damage</code>
+                      </td>
+                      <td>Nerve damage injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_submersion</code>
+                      </td>
+                      <td>Submersion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_dislocation</code>
+                      </td>
+                      <td>Dislocation injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_avulsion</code>
+                      </td>
+                      <td>Avulsion injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_dental_injury</code>
+                      </td>
+                      <td>Dental injury injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_puncture</code>
+                      </td>
+                      <td>Puncture injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_amputation</code>
+                      </td>
+                      <td>Amputation injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_burns_not_spec</code>
+                      </td>
+                      <td>Burns (unspecified) injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_electric_shock</code>
+                      </td>
+                      <td>Electric shock injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_burns_elec</code>
+                      </td>
+                      <td>Electrical burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_burns_radiation</code>
+                      </td>
+                      <td>Radiation burns injury rate</td>
+                      <td>Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.</td>
                       <td>Rate</td>
                       <td>Injuries per 100,000 population</td>
                     </tr>
@@ -19992,6 +19780,204 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
+              <h5 class="mt-3">
+                <code>data_infant_product_rate.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>age</code>
+                      </td>
+                      <td>Age</td>
+                      <td>Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.</td>
+                      <td>categorical</td>
+                      <td>category</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sex</code>
+                      </td>
+                      <td>Sex</td>
+                      <td>Patient sex (Male, Female, Unknown).</td>
+                      <td>categorical</td>
+                      <td>category</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_home_furnishings_fixtures</code>
+                      </td>
+                      <td>Home furnishings &amp; fixtures injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home furnishings &amp; fixtures per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_personal_use_drugs_misc</code>
+                      </td>
+                      <td>Personal use, drugs &amp; misc. injury rate</td>
+                      <td>Annual ED injury visits whose primary product was personal use, drugs &amp; misc. per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_sports_recreation_activities</code>
+                      </td>
+                      <td>Sports &amp; recreation activities injury rate</td>
+                      <td>Annual ED injury visits whose primary product was sports &amp; recreation activities per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_child_nursery_equipment</code>
+                      </td>
+                      <td>Child nursery equipment injury rate</td>
+                      <td>Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_housewares</code>
+                      </td>
+                      <td>Housewares injury rate</td>
+                      <td>Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_sports_recreation_equipment_toys</code>
+                      </td>
+                      <td>Sports/recreation equipment &amp; toys injury rate</td>
+                      <td>Annual ED injury visits whose primary product was sports/recreation equipment &amp; toys per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_chemicals</code>
+                      </td>
+                      <td>Chemicals injury rate</td>
+                      <td>Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_home_communication_entertainment_hobby</code>
+                      </td>
+                      <td>Home communication, entertainment &amp; hobby injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home communication, entertainment &amp; hobby per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_home_structures_construction_materials</code>
+                      </td>
+                      <td>Home structures &amp; construction materials injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home structures &amp; construction materials per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_home_workshop_equipment_tools</code>
+                      </td>
+                      <td>Home workshop equipment &amp; tools injury rate</td>
+                      <td>Annual ED injury visits whose primary product was home workshop equipment &amp; tools per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_kitchen_appliances</code>
+                      </td>
+                      <td>Kitchen appliances injury rate</td>
+                      <td>Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_packaging_containers</code>
+                      </td>
+                      <td>Packaging &amp; containers injury rate</td>
+                      <td>Annual ED injury visits whose primary product was packaging &amp; containers per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_heating_cooling_ventilation</code>
+                      </td>
+                      <td>Heating, cooling &amp; ventilation injury rate</td>
+                      <td>Annual ED injury visits whose primary product was heating, cooling &amp; ventilation per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_other_unspecified</code>
+                      </td>
+                      <td>Other/unspecified product injury rate</td>
+                      <td>Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_yard_garden_equipment</code>
+                      </td>
+                      <td>Yard &amp; garden equipment injury rate</td>
+                      <td>Annual ED injury visits whose primary product was yard &amp; garden equipment per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>neiss_rate_general_household_appliances</code>
+                      </td>
+                      <td>General household appliances injury rate</td>
+                      <td>Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.</td>
+                      <td>Rate</td>
+                      <td>Injuries per 100,000 population</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
             </section>
             <section id="nhtsa-crash" class="mb-5">
               <h2 class="border-bottom pb-2">Nhtsa Crash</h2>
@@ -20011,6 +19997,69 @@ <h5>Sources</h5>
                 Public domain. NHTSA data is generally not subject to copyright restrictions.
               </div>
               <h4 class="mt-4">Variables</h4>
+              <h5 class="mt-3">
+                <code>data.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>nhtsa_fatalities</code>
+                      </td>
+                      <td>Motor vehicle fatalities</td>
+                      <td>Annual count of persons killed in motor vehicle traffic crashes.</td>
+                      <td>Count</td>
+                      <td>Deaths</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>nhtsa_fatal_crashes</code>
+                      </td>
+                      <td>Fatal crashes</td>
+                      <td>Annual count of motor vehicle crashes resulting in at least one fatality.</td>
+                      <td>Count</td>
+                      <td>Crashes</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>nhtsa_fatality_rate</code>
+                      </td>
+                      <td>Fatality rate (per 100k)</td>
+                      <td>Annual motor vehicle fatalities per 100,000 residents. Population denominator is 2021 Census.</td>
+                      <td>Rate</td>
+                      <td>Deaths per 100,000</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
               <h5 class="mt-3">
                 <code>data_age_sex.csv.gz</code>
               </h5>
@@ -20245,6 +20294,23 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
+            </section>
+            <section id="nis" class="mb-5">
+              <h2 class="border-bottom pb-2">NIS</h2>
+              <p class="lead">The National Immunization Surveys (NIS) are a group of telephone surveys used to monitor vaccination coverage among children 19-35 months, teens 13-17 years, flu vaccinations for children 6 months-17 years, and COVID-19 vaccination for children, teens, and adults. The surveys are sponsored and conducted by the National Center for Immunization and Respiratory Diseases (NCIRD) of the CDC and authorized by the Public Health Service Act. NIS provides population-based, state and local area estimates of vaccination coverage using a standard survey methodology. Surveys collect data through telephone interviews with parents or guardians in all 50 states, the District of Columbia, and some U.S. territories. Cell phone numbers are randomly selected and called to enroll age-eligible children. With parental permission, vaccination providers are contacted to verify immunization records. Children and teens are classified as up to date based on ACIP-recommended vaccine doses.</p>
+              <h5>Sources</h5>
+              <ul class="list-unstyled">
+                <li>
+                  <a href="https://www.cdc.gov/nis/about/index.html" target="_blank">Data Source</a>
+                   | 
+                  <a href="https://www.cdc.gov/ncird/" target="_blank">Centers for Disease Control and Prevention</a>
+                </li>
+              </ul>
+              <div class="alert alert-warning">
+                <strong>Restrictions: </strong>
+                Public domain. CDC data is generally not subject to copyright restrictions.
+              </div>
+              <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
                 <code>data.csv.gz</code>
               </h5>
@@ -20262,69 +20328,88 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>birth_year</code>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
+                      <td>Birth Year</td>
+                      <td>Calendar year the child was born.</td>
+                      <td>integer</td>
+                      <td>year</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>age</code>
                       </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
+                      <td>Age</td>
+                      <td>Age group of surveyed children.</td>
+                      <td>categorical</td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>nhtsa_fatalities</code>
+                        <code>vaccine</code>
                       </td>
-                      <td>Motor vehicle fatalities</td>
-                      <td>Annual count of persons killed in motor vehicle traffic crashes.</td>
-                      <td>Count</td>
-                      <td>Deaths</td>
+                      <td>Vaccine</td>
+                      <td>Type of vaccine being measured.</td>
+                      <td>categorical</td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>nhtsa_fatal_crashes</code>
+                        <code>vax_uptake_overall</code>
                       </td>
-                      <td>Fatal crashes</td>
-                      <td>Annual count of motor vehicle crashes resulting in at least one fatality.</td>
-                      <td>Count</td>
-                      <td>Crashes</td>
+                      <td>Overall</td>
+                      <td>Percent of survey respondents who received the indicated vaccine</td>
+                      <td>percent</td>
+                      <td>percent</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>nhtsa_fatality_rate</code>
+                        <code>vax_uptake_overall_lcl</code>
                       </td>
-                      <td>Fatality rate (per 100k)</td>
-                      <td>Annual motor vehicle fatalities per 100,000 residents. Population denominator is 2021 Census.</td>
-                      <td>Rate</td>
-                      <td>Deaths per 100,000</td>
+                      <td>Overall lower 95% CI</td>
+                      <td>Percent of survey respondents who received the indicated vaccine</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>vax_uptake_overall_ucl</code>
+                      </td>
+                      <td>Overall upper 95% CI</td>
+                      <td>Percent of survey respondents who received the indicated vaccine</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size_overall</code>
+                      </td>
+                      <td>Overall</td>
+                      <td>Number of children surveyed for vaccination coverage estimates in the National Immunization Survey (NIS).</td>
+                      <td>percent</td>
+                      <td>percent</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
-            </section>
-            <section id="nis" class="mb-5">
-              <h2 class="border-bottom pb-2">NIS</h2>
-              <p class="lead">The National Immunization Surveys (NIS) are a group of telephone surveys used to monitor vaccination coverage among children 19-35 months, teens 13-17 years, flu vaccinations for children 6 months-17 years, and COVID-19 vaccination for children, teens, and adults. The surveys are sponsored and conducted by the National Center for Immunization and Respiratory Diseases (NCIRD) of the CDC and authorized by the Public Health Service Act. NIS provides population-based, state and local area estimates of vaccination coverage using a standard survey methodology. Surveys collect data through telephone interviews with parents or guardians in all 50 states, the District of Columbia, and some U.S. territories. Cell phone numbers are randomly selected and called to enroll age-eligible children. With parental permission, vaccination providers are contacted to verify immunization records. Children and teens are classified as up to date based on ACIP-recommended vaccine doses.</p>
-              <h5>Sources</h5>
-              <ul class="list-unstyled">
-                <li>
-                  <a href="https://www.cdc.gov/nis/about/index.html" target="_blank">Data Source</a>
-                   | 
-                  <a href="https://www.cdc.gov/ncird/" target="_blank">Centers for Disease Control and Prevention</a>
-                </li>
-              </ul>
-              <div class="alert alert-warning">
-                <strong>Restrictions: </strong>
-                Public domain. CDC data is generally not subject to copyright restrictions.
-              </div>
-              <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
                 <code>data_insurance.csv.gz</code>
               </h5>
@@ -20505,105 +20590,6 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
-              <h5 class="mt-3">
-                <code>data.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>birth_year</code>
-                      </td>
-                      <td>Birth Year</td>
-                      <td>Calendar year the child was born.</td>
-                      <td>integer</td>
-                      <td>year</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age</td>
-                      <td>Age group of surveyed children.</td>
-                      <td>categorical</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vaccine</code>
-                      </td>
-                      <td>Vaccine</td>
-                      <td>Type of vaccine being measured.</td>
-                      <td>categorical</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vax_uptake_overall</code>
-                      </td>
-                      <td>Overall</td>
-                      <td>Percent of survey respondents who received the indicated vaccine</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vax_uptake_overall_lcl</code>
-                      </td>
-                      <td>Overall lower 95% CI</td>
-                      <td>Percent of survey respondents who received the indicated vaccine</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vax_uptake_overall_ucl</code>
-                      </td>
-                      <td>Overall upper 95% CI</td>
-                      <td>Percent of survey respondents who received the indicated vaccine</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size_overall</code>
-                      </td>
-                      <td>Overall</td>
-                      <td>Number of children surveyed for vaccination coverage estimates in the National Immunization Survey (NIS).</td>
-                      <td>percent</td>
-                      <td>percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
             </section>
             <section id="nnds" class="mb-5">
               <h2 class="border-bottom pb-2">NNDS</h2>
@@ -22459,6 +22445,96 @@ <h5>Sources</h5>
                 Public domain. CDC data is generally not subject to copyright restrictions.
               </div>
               <h4 class="mt-4">Variables</h4>
+              <h5 class="mt-3">
+                <code>data.csv.gz</code>
+              </h5>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    <tr>
+                      <td>
+                        <code>time</code>
+                      </td>
+                      <td>Time</td>
+                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>grade</code>
+                      </td>
+                      <td>Grade in School</td>
+                      <td></td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>N</code>
+                      </td>
+                      <td>Count of Students</td>
+                      <td>The number of students used to calculate the percentage</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>vax</code>
+                      </td>
+                      <td>Vaccine name</td>
+                      <td>Vaccine for which coverage is presented</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value</code>
+                      </td>
+                      <td>Percent Vaccinated</td>
+                      <td>The percentage of students vaccinated</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>percent_surveyed</code>
+                      </td>
+                      <td>Percent surveyed</td>
+                      <td>The percentage of students surveyed</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>survey_type</code>
+                      </td>
+                      <td>Type of survey</td>
+                      <td>Type of survey used to collect the data</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
               <h5 class="mt-3">
                 <code>data_exemptions.csv.gz</code>
               </h5>
@@ -22549,96 +22625,6 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
-              <h5 class="mt-3">
-                <code>data.csv.gz</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>grade</code>
-                      </td>
-                      <td>Grade in School</td>
-                      <td></td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>N</code>
-                      </td>
-                      <td>Count of Students</td>
-                      <td>The number of students used to calculate the percentage</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vax</code>
-                      </td>
-                      <td>Vaccine name</td>
-                      <td>Vaccine for which coverage is presented</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Percent Vaccinated</td>
-                      <td>The percentage of students vaccinated</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>percent_surveyed</code>
-                      </td>
-                      <td>Percent surveyed</td>
-                      <td>The percentage of students surveyed</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>survey_type</code>
-                      </td>
-                      <td>Type of survey</td>
-                      <td>Type of survey used to collect the data</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
             </section>
             <section id="vaccine-exemptions-fattah" class="mb-5">
               <h2 class="border-bottom pb-2">Vaccine Exemptions Fattah</h2>
@@ -22657,7 +22643,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_county.csv.gz</code>
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -22707,20 +22693,11 @@ <h5 class="mt-3">
                       <td>Percent</td>
                       <td>Percent</td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>is_state_estimate</code>
-                      </td>
-                      <td>is_state_estimate</td>
-                      <td></td>
-                      <td></td>
-                      <td></td>
-                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_state.csv.gz</code>
+                <code>data_county.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -22770,11 +22747,20 @@ <h5 class="mt-3">
                       <td>Percent</td>
                       <td>Percent</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>is_state_estimate</code>
+                      </td>
+                      <td>is_state_estimate</td>
+                      <td></td>
+                      <td></td>
+                      <td></td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data.csv.gz</code>
+                <code>data_state.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -22944,7 +22930,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_county.csv.gz</code>
+                <code>data.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -23016,7 +23002,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data.csv.gz</code>
+                <code>data_county.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -23662,7 +23648,7 @@ <h5>Sources</h5>
               </div>
               <h4 class="mt-4">Variables</h4>
               <h5 class="mt-3">
-                <code>data_age_ethnicity.csv.gz</code>
+                <code>data_age.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -23703,15 +23689,6 @@ <h5 class="mt-3">
                       <td>category</td>
                       <td></td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>race_ethnicity</code>
-                      </td>
-                      <td>Race/Ethnicity</td>
-                      <td>Race/ethnicity category</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
                     <tr>
                       <td>
                         <code>pct_no_seatbelt</code>
@@ -26011,7 +25988,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_age_sex.csv.gz</code>
+                <code>data_age_ethnicity.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -26054,10 +26031,10 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>sex</code>
+                        <code>race_ethnicity</code>
                       </td>
-                      <td>Sex</td>
-                      <td>Sex category (Male, Female, Overall)</td>
+                      <td>Race/Ethnicity</td>
+                      <td>Race/ethnicity category</td>
                       <td>category</td>
                       <td></td>
                     </tr>
@@ -28360,7 +28337,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>data_age.csv.gz</code>
+                <code>data_age_sex.csv.gz</code>
               </h5>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -28401,6 +28378,15 @@ <h5 class="mt-3">
                       <td>category</td>
                       <td></td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>sex</code>
+                      </td>
+                      <td>Sex</td>
+                      <td>Sex category (Male, Female, Overall)</td>
+                      <td>category</td>
+                      <td></td>
+                    </tr>
                     <tr>
                       <td>
                         <code>pct_no_seatbelt</code>
@@ -30892,1206 +30878,35 @@ <h5 class="mt-3">
                       <td>
                         <code>mic90</code>
                       </td>
-                      <td>MIC90</td>
-                      <td></td>
-                      <td>Concentration</td>
-                      <td>ug/mL</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>host_species</code>
-                      </td>
-                      <td>Host species</td>
-                      <td>Animal host the isolate was recovered from (e.g. cattle, swine, chicken, turkey). Populated for animal pathogen and food-producing animal isolates.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>collection_source</code>
-                      </td>
-                      <td>Collection source</td>
-                      <td>Specimen or collection context for the isolate (e.g. diagnostic submission type). Populated for FDA Animal Pathogen isolates.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source_type</code>
-                      </td>
-                      <td>Sampling source type</td>
-                      <td>Type of sample within the food-producing animal program (e.g. carcass, cecal). Populated for FDA Food Animals isolates.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>resistance_by_pattern.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/narms/standard/data_resistance_pattern.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>narms/standard/data_resistance_pattern.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area as a display name: 'United States' for national, or the full state name (e.g. 'California'). Note: unlike most standard files, this column holds names rather than FIPS codes.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Surveillance year, as an end-of-year date (YYYY-12-31).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source / surveillance program</td>
-                      <td>
-                        NARMS surveillance program the isolates come from (human clinical only for resistance patterns).
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">NARMS Now (Human Clinical)</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>genus</code>
-                      </td>
-                      <td>Bacterial genus</td>
-                      <td>Genus of the bacterial isolate tested (e.g. Campylobacter, Escherichia, Salmonella, Shigella, Vibrio).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>species_serotype</code>
-                      </td>
-                      <td>Species / serotype</td>
-                      <td>Bacterial species and, where available, serotype of the isolate (e.g. 'Salmonella Typhimurium', 'E. coli O157').</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pattern</code>
-                      </td>
-                      <td>Resistance pattern</td>
-                      <td>Multidrug resistance profile describing the combination of antimicrobial classes/agents an isolate is resistant to.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>test_method</code>
-                      </td>
-                      <td>Test method</td>
-                      <td>
-                        Method used to determine resistance.
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">AST</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">WGS</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_resistant</code>
-                      </td>
-                      <td>Percent resistant to antimicrobial</td>
-                      <td></td>
-                      <td>Percent</td>
-                      <td>Percent</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>n_resistant</code>
-                      </td>
-                      <td>Number of resistant isolates</td>
-                      <td></td>
-                      <td>Count</td>
-                      <td>Isolates</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>n_tested</code>
-                      </td>
-                      <td>Number of isolates tested</td>
-                      <td></td>
-                      <td>Count</td>
-                      <td>Isolates</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-            </section>
-            <section id="bundle-cancer-screening" class="mb-5">
-              <h2 class="border-bottom pb-2">Bundle: Cancer Screening</h2>
-              <p class="text-muted">
-                <em>Combined output bundle. Dist files: 5 parquet file(s).</em>
-              </p>
-              <p class="mb-3">
-                <strong>Data sources: </strong>
-                <a href="#cms-mmd" class="bundle-source-link">CMS Mmd</a>
-                ; 
-                <a href="#medicaid-quality" class="bundle-source-link">Medicaid Quality</a>
-              </p>
-              <h4 class="mt-4">Output Files (dist/)</h4>
-              <h5 class="mt-3">
-                <code>cms_cancer_screening_by_race.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age_by_race.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age_by_race.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>State</td>
-                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
-                      </td>
-                      <td>FIPS code</td>
-                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the reported screening rate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age group</td>
-                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>race_ethnicity</code>
-                      </td>
-                      <td>Race/ethnicity</td>
-                      <td>Race/ethnicity category of Medicare FFS beneficiaries.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Cancer screening measure</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Medicare FFS cancer screening rate by race/ethnicity</td>
-                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, stratified by race and ethnicity.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>cms_cancer_screening_by_sex.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age_by_sex.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age_by_sex.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>State</td>
-                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
-                      </td>
-                      <td>FIPS code</td>
-                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the reported screening rate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age group</td>
-                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sex</code>
-                      </td>
-                      <td>Sex</td>
-                      <td>Sex of Medicare FFS beneficiaries (Male, Female, Total).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Cancer screening measure</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Medicare FFS cancer screening rate by sex</td>
-                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, stratified by sex.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>cms_cancer_screening_state.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>State</td>
-                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
-                      </td>
-                      <td>FIPS code</td>
-                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the reported screening rate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age group</td>
-                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Cancer screening measure</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Medicare FFS cancer screening rate</td>
-                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, by state and age group.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>combined_cancer_screening.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/medicaid_quality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>medicaid_quality/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>State</td>
-                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
-                      </td>
-                      <td>FIPS code</td>
-                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the reported screening rate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Cancer screening measure</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_medicare</code>
-                      </td>
-                      <td>Medicare FFS cancer screening rate (combined)</td>
-                      <td>Medicare FFS cancer screening rate in the combined Medicare and Medicaid reference file.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_medicaid</code>
-                      </td>
-                      <td>Medicaid cancer screening rate (combined)</td>
-                      <td>Medicaid cancer screening rate in the combined Medicare and Medicaid reference file.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>medicaid_cancer_screening.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/medicaid_quality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>medicaid_quality/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>State</td>
-                      <td>State or national name (e.g., 'California', 'District of Columbia'); the FIPS code is not stored in this file.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the reported screening rate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age group</td>
-                      <td>Beneficiary age group for the measure (e.g., 'Total').</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sex</code>
-                      </td>
-                      <td>Sex</td>
-                      <td>Sex of beneficiaries (Male, Female, Total).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>race_ethnicity</code>
-                      </td>
-                      <td>Race/ethnicity</td>
-                      <td>Race/ethnicity category of beneficiaries.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>payer</code>
-                      </td>
-                      <td>Payer</td>
-                      <td>
-                        Medicaid program payer for the reported measure.
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicaid</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CHIP</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Total</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Cancer screening measure</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicaid</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Medicaid cancer screening rate</td>
-                      <td>Percentage of Medicaid and CHIP beneficiaries who received cancer screening.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-            </section>
-            <section id="bundle-childhood-immunizations" class="mb-5">
-              <h2 class="border-bottom pb-2">Bundle: Childhood Immunizations</h2>
-              <p class="text-muted">
-                <em>Combined output bundle. Dist files: 9 parquet file(s).</em>
-              </p>
-              <p class="mb-3">
-                <strong>Data sources: </strong>
-                <a href="#nis" class="bundle-source-link">NIS</a>
-                ; 
-                <a href="#schoolvax-washpost" class="bundle-source-link">Schoolvax Washpost</a>
-                ; 
-                <a href="#schoolvaxview" class="bundle-source-link">Schoolvaxview</a>
-              </p>
-              <h4 class="mt-4">Output Files (dist/)</h4>
-              <h5 class="mt-3">
-                <code>nis_insurance.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data_insurance.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nis/standard/data_insurance.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>insurance</code>
-                      </td>
-                      <td>insurance</td>
-                      <td>(source variable: insurance)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>birth_year</code>
-                      </td>
-                      <td>birth_year</td>
-                      <td>(source variable: birth_year)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vaccine</code>
-                      </td>
-                      <td>vaccine</td>
-                      <td>(source variable: vaccine)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake</code>
-                      </td>
-                      <td>pct_uptake</td>
-                      <td>(source variable: vax_uptake_insurance)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_lcl</code>
-                      </td>
-                      <td>pct_uptake_lcl</td>
-                      <td>(source variable: vax_uptake_insurance_lcl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_ucl</code>
-                      </td>
-                      <td>pct_uptake_ucl</td>
-                      <td>(source variable: vax_uptake_insurance_ucl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size</code>
-                      </td>
-                      <td>sample_size</td>
-                      <td>(source variable: sample_size_insurance)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>nis_overall.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nis/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>birth_year</code>
-                      </td>
-                      <td>birth_year</td>
-                      <td>(source variable: birth_year)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>age</td>
-                      <td>(source variable: age)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vaccine</code>
-                      </td>
-                      <td>vaccine</td>
-                      <td>(source variable: vaccine)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake</code>
-                      </td>
-                      <td>pct_uptake</td>
-                      <td>(source variable: vax_uptake_overall)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_lcl</code>
-                      </td>
-                      <td>pct_uptake_lcl</td>
-                      <td>(source variable: vax_uptake_overall_lcl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_ucl</code>
-                      </td>
-                      <td>pct_uptake_ucl</td>
-                      <td>(source variable: vax_uptake_overall_ucl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size</code>
-                      </td>
-                      <td>sample_size</td>
-                      <td>(source variable: sample_size_overall)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date corresponding to the child's age within the birth cohort (YYYY-mm-dd).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>nis_urban.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data_urban.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nis/standard/data_urban.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>urban</code>
-                      </td>
-                      <td>urban</td>
-                      <td>(source variable: urban)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>birth_year</code>
-                      </td>
-                      <td>birth_year</td>
-                      <td>(source variable: birth_year)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vaccine</code>
-                      </td>
-                      <td>vaccine</td>
-                      <td>(source variable: vaccine)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake</code>
-                      </td>
-                      <td>pct_uptake</td>
-                      <td>(source variable: vax_uptake_urban)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_lcl</code>
-                      </td>
-                      <td>pct_uptake_lcl</td>
-                      <td>(source variable: vax_uptake_urban_lcl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_uptake_ucl</code>
-                      </td>
-                      <td>pct_uptake_ucl</td>
-                      <td>(source variable: vax_uptake_urban_ucl)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size</code>
-                      </td>
-                      <td>sample_size</td>
-                      <td>(source variable: sample_size_urban)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>overall_rates_by_source.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nis/standard/data.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvaxview/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year of the vaccination coverage estimate.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography (name)</td>
-                      <td>Geography name (e.g. state name or "United States"), not a FIPS code, from a join to the FIPS crosswalk.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>vaccine</code>
-                      </td>
-                      <td>vaccine</td>
-                      <td>(source variable: vaccine)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>age</td>
-                      <td>(source variable: age)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Vaccination coverage</td>
-                      <td>Percentage of children up to date on the indicated vaccine, by source and year.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_lcl</code>
-                      </td>
-                      <td>Vaccination coverage lower 95% CI</td>
-                      <td>Lower bound of the 95% confidence interval for vaccination coverage (NIS only).</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_ucl</code>
-                      </td>
-                      <td>Vaccination coverage upper 95% CI</td>
-                      <td>Upper bound of the 95% confidence interval for vaccination coverage (NIS only).</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sample_size</code>
-                      </td>
-                      <td>Sample size</td>
-                      <td>Number of children in the survey sample used to estimate vaccination coverage.</td>
-                      <td>Count</td>
-                      <td>Count</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC NIS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC SchoolVaxView</span>
-                        </div>
+                      <td>MIC90</td>
+                      <td></td>
+                      <td>Concentration</td>
+                      <td>ug/mL</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>host_species</code>
                       </td>
+                      <td>Host species</td>
+                      <td>Animal host the isolate was recovered from (e.g. cattle, swine, chicken, turkey). Populated for animal pathogen and food-producing animal isolates.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>percent_surveyed</code>
+                        <code>collection_source</code>
                       </td>
-                      <td>percent_surveyed</td>
-                      <td>(source variable: percent_surveyed)</td>
+                      <td>Collection source</td>
+                      <td>Specimen or collection context for the isolate (e.g. diagnostic submission type). Populated for FDA Animal Pathogen isolates.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>survey_type</code>
+                        <code>source_type</code>
                       </td>
-                      <td>survey_type</td>
-                      <td>(source variable: survey_type)</td>
+                      <td>Sampling source type</td>
+                      <td>Type of sample within the food-producing animal program (e.g. carcass, cecal). Populated for FDA Food Animals isolates.</td>
                       <td></td>
                       <td></td>
                     </tr>
@@ -32099,14 +30914,14 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>schoolvaxview_exemptions.parquet</code>
+                <code>resistance_by_pattern.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data_exemptions.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvaxview/standard/data_exemptions.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/narms/standard/data_resistance_pattern.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>narms/standard/data_resistance_pattern.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32121,56 +30936,81 @@ <h5 class="mt-3">
                     </tr>
                   </thead>
                   <tbody>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>Geographic area as a display name: 'United States' for national, or the full state name (e.g. 'California'). Note: unlike most standard files, this column holds names rather than FIPS codes.</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
                     <tr>
                       <td>
                         <code>time</code>
                       </td>
-                      <td>Time</td>
-                      <td>School-year end date for the exemption assessment (YYYY-mm-dd; academic year start convention).</td>
+                      <td>Year</td>
+                      <td>Surveillance year, as an end-of-year date (YYYY-12-31).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>source</code>
+                      </td>
+                      <td>Data source / surveillance program</td>
+                      <td>
+                        NARMS surveillance program the isolates come from (human clinical only for resistance patterns).
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">NARMS Now (Human Clinical)</span>
+                        </div>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>grade</code>
+                        <code>genus</code>
                       </td>
-                      <td>grade</td>
-                      <td>(source variable: grade)</td>
+                      <td>Bacterial genus</td>
+                      <td>Genus of the bacterial isolate tested (e.g. Campylobacter, Escherichia, Salmonella, Shigella, Vibrio).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>N</code>
+                        <code>species_serotype</code>
                       </td>
-                      <td>N</td>
-                      <td>(source variable: N)</td>
+                      <td>Species / serotype</td>
+                      <td>Bacterial species and, where available, serotype of the isolate (e.g. 'Salmonella Typhimurium', 'E. coli O157').</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>vax</code>
+                        <code>pattern</code>
                       </td>
-                      <td>Exemption type</td>
+                      <td>Resistance pattern</td>
+                      <td>Multidrug resistance profile describing the combination of antimicrobial classes/agents an isolate is resistant to.</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        
+                        <code>test_method</code>
+                      </td>
+                      <td>Test method</td>
+                      <td>
+                        Method used to determine resistance.
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">full_exempt</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">personal_exempt</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">medical_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">AST</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">WGS</span>
                         </div>
                       </td>
                       <td></td>
@@ -32178,43 +31018,56 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>pct_resistant</code>
                       </td>
-                      <td>Exemption rate</td>
-                      <td>Percentage of kindergartners with exemptions from the specified vaccine requirement.</td>
+                      <td>Percent resistant to antimicrobial</td>
+                      <td></td>
+                      <td>Percent</td>
                       <td>Percent</td>
-                      <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>percent_surveyed</code>
+                        <code>n_resistant</code>
                       </td>
-                      <td>percent_surveyed</td>
-                      <td>(source variable: percent_surveyed)</td>
-                      <td></td>
+                      <td>Number of resistant isolates</td>
                       <td></td>
+                      <td>Count</td>
+                      <td>Isolates</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>survey_type</code>
+                        <code>n_tested</code>
                       </td>
-                      <td>survey_type</td>
-                      <td>(source variable: survey_type)</td>
-                      <td></td>
+                      <td>Number of isolates tested</td>
                       <td></td>
+                      <td>Count</td>
+                      <td>Isolates</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
+            </section>
+            <section id="bundle-cancer-screening" class="mb-5">
+              <h2 class="border-bottom pb-2">Bundle: Cancer Screening</h2>
+              <p class="text-muted">
+                <em>Combined output bundle. Dist files: 5 parquet file(s).</em>
+              </p>
+              <p class="mb-3">
+                <strong>Data sources: </strong>
+                <a href="#cms-mmd" class="bundle-source-link">CMS Mmd</a>
+                ; 
+                <a href="#medicaid-quality" class="bundle-source-link">Medicaid Quality</a>
+              </p>
+              <h4 class="mt-4">Output Files (dist/)</h4>
               <h5 class="mt-3">
-                <code>schoolvaxview_overall.parquet</code>
+                <code>cms_cancer_screening_by_race.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvaxview/standard/data.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age_by_race.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>cms_mmd/standard/data_state_county_age_by_race.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32231,60 +31084,64 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>geography</code>
                       </td>
-                      <td>Time</td>
-                      <td>School-year end date for the vaccination assessment (YYYY-mm-dd; academic year start convention, e.g. 2023-09-01).</td>
+                      <td>State</td>
+                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>fips</code>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
+                      <td>FIPS code</td>
+                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>grade</code>
+                        <code>year</code>
                       </td>
-                      <td>grade</td>
-                      <td>(source variable: grade)</td>
+                      <td>Year</td>
+                      <td>Calendar year of the reported screening rate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>N</code>
+                        <code>age</code>
                       </td>
-                      <td>N</td>
-                      <td>(source variable: N)</td>
+                      <td>Age group</td>
+                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>vax</code>
+                        <code>race_ethnicity</code>
                       </td>
-                      <td>Vaccine / exemption code</td>
+                      <td>Race/ethnicity</td>
+                      <td>Race/ethnicity category of Medicare FFS beneficiaries.</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>Cancer screening measure</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">mmr</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">mmr (pac)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">dtap</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">polio</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">varicella</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">hep_b</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">full_exempt</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">personal_exempt</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">medical_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
                         </div>
                       </td>
                       <td></td>
@@ -32292,46 +31149,42 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>source</code>
                       </td>
-                      <td>value</td>
-                      <td>(source variable: value)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
+                      <td>Data source</td>
                       <td>
-                        <code>percent_surveyed</code>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
+                        </div>
                       </td>
-                      <td>percent_surveyed</td>
-                      <td>(source variable: percent_surveyed)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>survey_type</code>
+                        <code>value</code>
                       </td>
-                      <td>survey_type</td>
-                      <td>(source variable: survey_type)</td>
-                      <td></td>
-                      <td></td>
+                      <td>Medicare FFS cancer screening rate by race/ethnicity</td>
+                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, stratified by race and ethnicity.</td>
+                      <td>Percent</td>
+                      <td>%</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>state_compare.parquet</code>
+                <code>cms_cancer_screening_by_sex.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nis/standard/data.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvaxview/standard/data.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age_by_sex.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>cms_mmd/standard/data_state_county_age_by_sex.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32350,68 +31203,105 @@ <h5 class="mt-3">
                       <td>
                         <code>geography</code>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
+                      <td>State</td>
+                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_nis</code>
+                        <code>fips</code>
                       </td>
-                      <td>MMR uptake (NIS, 35 months)</td>
-                      <td>Percent of 2021 birth cohort with ≥1 dose MMR by 35 months, from CDC NIS.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>FIPS code</td>
+                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_nis_ucl</code>
+                        <code>year</code>
                       </td>
-                      <td>value_nis_ucl</td>
-                      <td>(source variable: vax_uptake_overall_ucl)</td>
+                      <td>Year</td>
+                      <td>Calendar year of the reported screening rate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_nis_lcl</code>
+                        <code>age</code>
                       </td>
-                      <td>value_nis_lcl</td>
-                      <td>(source variable: vax_uptake_overall_lcl)</td>
+                      <td>Age group</td>
+                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_vaxview</code>
+                        <code>sex</code>
                       </td>
-                      <td>MMR coverage (SchoolVaxView, kindergarten)</td>
-                      <td>Percent of kindergartners with MMR vaccination, from CDC SchoolVaxView (2023-24 school year).</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>Sex</td>
+                      <td>Sex of Medicare FFS beneficiaries (Male, Female, Total).</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>vaxview_survey_type</code>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>Cancer screening measure</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>source</code>
+                      </td>
+                      <td>Data source</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
+                        </div>
                       </td>
-                      <td>vaxview_survey_type</td>
-                      <td>(source variable: survey_type)</td>
                       <td></td>
                       <td></td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>value</code>
+                      </td>
+                      <td>Medicare FFS cancer screening rate by sex</td>
+                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, stratified by sex.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>wapo_vax_counties.parquet</code>
+                <code>cms_cancer_screening_state.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvax_washpost/standard/data_counties.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvax_washpost/standard/data_counties.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32430,59 +31320,99 @@ <h5 class="mt-3">
                       <td>
                         <code>geography</code>
                       </td>
-                      <td>Geography</td>
-                      <td>County FIPS code identifier (5-digit).</td>
+                      <td>State</td>
+                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>fips</code>
                       </td>
-                      <td>Time</td>
-                      <td>School-year date for the county vaccination rate (YYYY-mm-dd).</td>
+                      <td>FIPS code</td>
+                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_county_vax_rate</code>
+                        <code>year</code>
                       </td>
-                      <td>wapo_county_vax_rate</td>
-                      <td>(source variable: wapo_county_vax_rate)</td>
+                      <td>Year</td>
+                      <td>Calendar year of the reported screening rate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_prepand_herd</code>
+                        <code>age</code>
                       </td>
-                      <td>wapo_prepand_herd</td>
-                      <td>(source variable: wapo_prepand_herd)</td>
+                      <td>Age group</td>
+                      <td>Beneficiary age group (e.g., '65+ Years', 'Total').</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_postpand_herd</code>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>Cancer screening measure</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Prostate Cancer Screening</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>source</code>
+                      </td>
+                      <td>Data source</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
+                        </div>
                       </td>
-                      <td>wapo_postpand_herd</td>
-                      <td>(source variable: wapo_postpand_herd)</td>
                       <td></td>
                       <td></td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>value</code>
+                      </td>
+                      <td>Medicare FFS cancer screening rate</td>
+                      <td>Percentage of Medicare FFS beneficiaries who received cancer screening, by state and age group.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>wapo_vax_schools.parquet</code>
+                <code>combined_cancer_screening.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvax_washpost/standard/data_schools.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>schoolvax_washpost/standard/data_schools.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/medicaid_quality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>medicaid_quality/standard/data.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32501,182 +31431,228 @@ <h5 class="mt-3">
                       <td>
                         <code>geography</code>
                       </td>
-                      <td>Geography</td>
-                      <td>FIPS code identifier for the school's county (5-digit).</td>
+                      <td>State</td>
+                      <td>State or national name (e.g., 'California', 'United States'); the paired `fips` column holds the FIPS code.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>fips</code>
                       </td>
-                      <td>Time</td>
-                      <td>School-year date for the school vaccination record (YYYY-mm-dd).</td>
+                      <td>FIPS code</td>
+                      <td>Geographic FIPS code ('00' = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_name</code>
+                        <code>year</code>
                       </td>
-                      <td>wapo_school_name</td>
-                      <td>(source variable: wapo_school_name)</td>
+                      <td>Year</td>
+                      <td>Calendar year of the reported screening rate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_type</code>
+                        <code>outcome_name</code>
                       </td>
-                      <td>wapo_school_type</td>
-                      <td>(source variable: wapo_school_type)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
+                      <td>Cancer screening measure</td>
                       <td>
-                        <code>wapo_students_enrolled</code>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
+                        </div>
                       </td>
-                      <td>wapo_students_enrolled</td>
-                      <td>(source variable: wapo_students_enrolled)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_mmr_rate</code>
+                        <code>value_medicare</code>
                       </td>
-                      <td>wapo_school_mmr_rate</td>
-                      <td>(source variable: wapo_school_mmr_rate)</td>
-                      <td></td>
-                      <td></td>
+                      <td>Medicare FFS cancer screening rate (combined)</td>
+                      <td>Medicare FFS cancer screening rate in the combined Medicare and Medicaid reference file.</td>
+                      <td>Percent</td>
+                      <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_overall_rate</code>
+                        <code>value_medicaid</code>
                       </td>
-                      <td>wapo_school_overall_rate</td>
-                      <td>(source variable: wapo_school_overall_rate)</td>
-                      <td></td>
-                      <td></td>
+                      <td>Medicaid cancer screening rate (combined)</td>
+                      <td>Medicaid cancer screening rate in the combined Medicare and Medicaid reference file.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </div>
+              <h5 class="mt-3">
+                <code>medicaid_cancer_screening.parquet</code>
+              </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/medicaid_quality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>medicaid_quality/standard/data.csv.gz</code>
+                </a>
+              </div>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
                     </tr>
+                  </thead>
+                  <tbody>
                     <tr>
                       <td>
-                        <code>wapo_school_medical_exemption_rate</code>
+                        <code>geography</code>
                       </td>
-                      <td>wapo_school_medical_exemption_rate</td>
-                      <td>(source variable: wapo_school_medical_exemption_rate)</td>
+                      <td>State</td>
+                      <td>State or national name (e.g., 'California', 'District of Columbia'); the FIPS code is not stored in this file.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_religious_exemption_rate</code>
+                        <code>year</code>
                       </td>
-                      <td>wapo_school_religious_exemption_rate</td>
-                      <td>(source variable: wapo_school_religious_exemption_rate)</td>
+                      <td>Year</td>
+                      <td>Calendar year of the reported screening rate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_personal_exemption_rate</code>
+                        <code>age</code>
                       </td>
-                      <td>wapo_school_personal_exemption_rate</td>
-                      <td>(source variable: wapo_school_personal_exemption_rate)</td>
+                      <td>Age group</td>
+                      <td>Beneficiary age group for the measure (e.g., 'Total').</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_nonmedical_exemption_rate</code>
+                        <code>sex</code>
                       </td>
-                      <td>wapo_school_nonmedical_exemption_rate</td>
-                      <td>(source variable: wapo_school_nonmedical_exemption_rate)</td>
+                      <td>Sex</td>
+                      <td>Sex of beneficiaries (Male, Female, Total).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_overall_exemption_rate</code>
+                        <code>race_ethnicity</code>
                       </td>
-                      <td>wapo_school_overall_exemption_rate</td>
-                      <td>(source variable: wapo_school_overall_exemption_rate)</td>
+                      <td>Race/ethnicity</td>
+                      <td>Race/ethnicity category of beneficiaries.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_lat</code>
+                        <code>payer</code>
+                      </td>
+                      <td>Payer</td>
+                      <td>
+                        Medicaid program payer for the reported measure.
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicaid</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CHIP</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Total</span>
+                        </div>
                       </td>
-                      <td>wapo_school_lat</td>
-                      <td>(source variable: wapo_school_lat)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_lon</code>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>Cancer screening measure</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Breast Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Cervical Cancer Screening</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Colorectal Cancer Screening</span>
+                        </div>
                       </td>
-                      <td>wapo_school_lon</td>
-                      <td>(source variable: wapo_school_lon)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_county</code>
+                        <code>source</code>
                       </td>
-                      <td>wapo_school_county</td>
-                      <td>(source variable: wapo_school_county)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
+                      <td>Data source</td>
                       <td>
-                        <code>wapo_school_state</code>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicaid</span>
+                        </div>
                       </td>
-                      <td>wapo_school_state</td>
-                      <td>(source variable: wapo_school_state)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>wapo_school_grade</code>
+                        <code>value</code>
                       </td>
-                      <td>wapo_school_grade</td>
-                      <td>(source variable: wapo_school_grade)</td>
-                      <td></td>
-                      <td></td>
+                      <td>Medicaid cancer screening rate</td>
+                      <td>Percentage of Medicaid and CHIP beneficiaries who received cancer screening.</td>
+                      <td>Percent</td>
+                      <td>%</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
             </section>
-            <section id="bundle-chronic-diseases" class="mb-5">
-              <h2 class="border-bottom pb-2">Bundle: Chronic Diseases</h2>
+            <section id="bundle-childhood-immunizations" class="mb-5">
+              <h2 class="border-bottom pb-2">Bundle: Childhood Immunizations</h2>
               <p class="text-muted">
-                <em>Combined output bundle. Dist files: 14 parquet file(s).</em>
+                <em>Combined output bundle. Dist files: 9 parquet file(s).</em>
               </p>
               <p class="mb-3">
                 <strong>Data sources: </strong>
-                <a href="#brfss" class="bundle-source-link">BRFSS</a>
+                <a href="#nis" class="bundle-source-link">NIS</a>
                 ; 
-                <a href="#cms-mmd" class="bundle-source-link">CMS Mmd</a>
+                <a href="#schoolvax-washpost" class="bundle-source-link">Schoolvax Washpost</a>
                 ; 
-                <a href="#epic-chronic" class="bundle-source-link">Epic Chronic</a>
+                <a href="#schoolvaxview" class="bundle-source-link">Schoolvaxview</a>
               </p>
               <h4 class="mt-4">Output Files (dist/)</h4>
               <h5 class="mt-3">
-                <code>brfss_prevalence_by_geography.parquet</code>
+                <code>nis_insurance.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data_survey.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>brfss/standard/data_survey.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data_insurance.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nis/standard/data_insurance.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32696,105 +31672,87 @@ <h5 class="mt-3">
                         <code>geography</code>
                       </td>
                       <td>Geography</td>
-                      <td>Geographic unit: U.S. state/territory name (state-level files) or 5-digit county FIPS code (county-level files); 'United States' or '00' = national.</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>insurance</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
+                      <td>insurance</td>
+                      <td>(source variable: insurance)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>birth_year</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>birth_year</td>
+                      <td>(source variable: birth_year)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
-                        </div>
+                        <code>vaccine</code>
                       </td>
+                      <td>vaccine</td>
+                      <td>(source variable: vaccine)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Chronic condition</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
-                        </div>
+                        <code>pct_uptake</code>
                       </td>
+                      <td>pct_uptake</td>
+                      <td>(source variable: vax_uptake_insurance)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
-                      </td>
-                      <td>Chronic disease prevalence (BRFSS)</td>
-                      <td>Estimated prevalence of diabetes or obesity from BRFSS telephone survey, by state and year.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_lcl</code>
+                        <code>pct_uptake_lcl</code>
                       </td>
-                      <td>Prevalence lower 95% CI (BRFSS)</td>
-                      <td>Lower bound of the 95% confidence interval for BRFSS chronic disease prevalence.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>pct_uptake_lcl</td>
+                      <td>(source variable: vax_uptake_insurance_lcl)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_ucl</code>
+                        <code>pct_uptake_ucl</code>
                       </td>
-                      <td>Prevalence upper 95% CI (BRFSS)</td>
-                      <td>Upper bound of the 95% confidence interval for BRFSS chronic disease prevalence.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>pct_uptake_ucl</td>
+                      <td>(source variable: vax_uptake_insurance_ucl)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
                         <code>sample_size</code>
                       </td>
-                      <td>Sample size (BRFSS)</td>
-                      <td>Number of BRFSS survey respondents used to estimate chronic disease prevalence.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>sample_size</td>
+                      <td>(source variable: sample_size_insurance)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>county_opioid_by_source.parquet</code>
+                <code>nis_overall.parquet</code>
               </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nis/standard/data.csv.gz</code>
+                </a>
+              </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
                   <thead>
@@ -32809,45 +31767,82 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>birth_year</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
+                      <td>birth_year</td>
+                      <td>(source variable: birth_year)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>age</code>
                       </td>
-                      <td>Geography</td>
-                      <td>County FIPS code or state/county name.</td>
+                      <td>age</td>
+                      <td>(source variable: age)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>opioid_rate</code>
+                        <code>vaccine</code>
                       </td>
-                      <td>Opioid use disorder rate</td>
-                      <td>Opioid use disorder prevalence rate at the county level (stale/foreign output).</td>
-                      <td>Rate</td>
-                      <td>Rate</td>
+                      <td>vaccine</td>
+                      <td>(source variable: vaccine)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>pct_uptake</code>
                       </td>
-                      <td>Data source</td>
+                      <td>pct_uptake</td>
+                      <td>(source variable: vax_uptake_overall)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        Data source for the opioid rate.
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare</span>
-                        </div>
+                        <code>pct_uptake_lcl</code>
+                      </td>
+                      <td>pct_uptake_lcl</td>
+                      <td>(source variable: vax_uptake_overall_lcl)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>pct_uptake_ucl</code>
+                      </td>
+                      <td>pct_uptake_ucl</td>
+                      <td>(source variable: vax_uptake_overall_ucl)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size</code>
+                      </td>
+                      <td>sample_size</td>
+                      <td>(source variable: sample_size_overall)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>geography</code>
+                      </td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>time</code>
                       </td>
+                      <td>Time</td>
+                      <td>Date corresponding to the child's age within the birth cohort (YYYY-mm-dd).</td>
                       <td></td>
                       <td></td>
                     </tr>
@@ -32855,8 +31850,16 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>deaths_cause_age.parquet</code>
+                <code>nis_urban.parquet</code>
               </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data_urban.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nis/standard/data_urban.csv.gz</code>
+                </a>
+              </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
                   <thead>
@@ -32871,100 +31874,91 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>geography</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>urban</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>urban</td>
+                      <td>(source variable: urban)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>birth_year</code>
                       </td>
-                      <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
+                      <td>birth_year</td>
+                      <td>(source variable: birth_year)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>cause_of_death</code>
+                        <code>vaccine</code>
                       </td>
-                      <td>Cause of death</td>
+                      <td>vaccine</td>
+                      <td>(source variable: vaccine)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        Injury/external cause of death category (CDC WISQARS classification).
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">cut_pierce</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">drowning_includes_water_transport_</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">drug_poisoning</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">fall</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">fire_flame</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">firearm_accident</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">firearm_intentional</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">machinery</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">motor_vehicle_traffic</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">natural_environmental</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">non_drug_poisoning</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">other_specified_and_classifiable</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">other_specified_nec</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">pedal_cyclist_other</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">pedestrian_other</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">struck_by_against</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">suffocation</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">transport_other_excl_drown_by_water_transp_</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">transport_other_land</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">unspecified</span>
-                        </div>
+                        <code>pct_uptake</code>
                       </td>
+                      <td>pct_uptake</td>
+                      <td>(source variable: vax_uptake_urban)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>pct_uptake_lcl</code>
                       </td>
-                      <td>Death rate</td>
-                      <td>Death rate for the given cause of death, by age and geography (stale/foreign output).</td>
-                      <td>Rate</td>
-                      <td>Deaths per 100,000</td>
+                      <td>pct_uptake_lcl</td>
+                      <td>(source variable: vax_uptake_urban_lcl)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>N</code>
+                        <code>pct_uptake_ucl</code>
                       </td>
-                      <td>Number of deaths</td>
-                      <td>Count of deaths for the given cause of death, age, and geography.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>pct_uptake_ucl</td>
+                      <td>(source variable: vax_uptake_urban_ucl)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size</code>
+                      </td>
+                      <td>sample_size</td>
+                      <td>(source variable: sample_size_urban)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>epic_prevalence_by_geography_county_and_source.parquet</code>
+                <code>overall_rates_by_source.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/county_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/county_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nis/standard/data.csv.gz</code>
                 </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvaxview/standard/data.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -32981,56 +31975,37 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>year</code>
                       </td>
-                      <td>Geography</td>
-                      <td>5-digit county FIPS code as a string.</td>
+                      <td>Year</td>
+                      <td>Calendar year of the vaccination coverage estimate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>geography</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>Geography (name)</td>
+                      <td>Geography name (e.g. state name or "United States"), not a FIPS code, from a join to the FIPS crosswalk.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source / clinical definition</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: BMI</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: HbA1c</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
-                        </div>
+                        <code>vaccine</code>
                       </td>
+                      <td>vaccine</td>
+                      <td>(source variable: vaccine)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Chronic condition</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
-                        </div>
+                        <code>age</code>
                       </td>
+                      <td>age</td>
+                      <td>(source variable: age)</td>
                       <td></td>
                       <td></td>
                     </tr>
@@ -33038,26 +32013,26 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Chronic disease prevalence (county)</td>
-                      <td>Estimated prevalence of diabetes or obesity at county level from Epic Cosmos or Medicare FFS.</td>
+                      <td>Vaccination coverage</td>
+                      <td>Percentage of children up to date on the indicated vaccine, by source and year.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>value_lcl</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
-                      <td></td>
-                      <td></td>
+                      <td>Vaccination coverage lower 95% CI</td>
+                      <td>Lower bound of the 95% confidence interval for vaccination coverage (NIS only).</td>
+                      <td>Percent</td>
+                      <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_captured</code>
+                        <code>value_ucl</code>
                       </td>
-                      <td>Epic population capture (%, county)</td>
-                      <td>Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group (Epic rows only).</td>
+                      <td>Vaccination coverage upper 95% CI</td>
+                      <td>Upper bound of the 95% confidence interval for vaccination coverage (NIS only).</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
@@ -33065,23 +32040,59 @@ <h5 class="mt-3">
                       <td>
                         <code>sample_size</code>
                       </td>
-                      <td>Patient count (county)</td>
-                      <td>Number of patients used in the county-level analysis. Small counts from Epic Cosmos are reported as '10 or fewer'.</td>
+                      <td>Sample size</td>
+                      <td>Number of children in the survey sample used to estimate vaccination coverage.</td>
                       <td>Count</td>
                       <td>Count</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>source</code>
+                      </td>
+                      <td>Data source</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC NIS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC SchoolVaxView</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>percent_surveyed</code>
+                      </td>
+                      <td>percent_surveyed</td>
+                      <td>(source variable: percent_surveyed)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>survey_type</code>
+                      </td>
+                      <td>survey_type</td>
+                      <td>(source variable: survey_type)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>epic_prevalence_by_geography_county.parquet</code>
+                <code>schoolvaxview_exemptions.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/county_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/county_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data_exemptions.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvaxview/standard/data_exemptions.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -33098,52 +32109,54 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>time</code>
                       </td>
-                      <td>Geography</td>
-                      <td>5-digit county FIPS code as a string.</td>
+                      <td>Time</td>
+                      <td>School-year end date for the exemption assessment (YYYY-mm-dd; academic year start convention).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>geography</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
+                        <code>grade</code>
                       </td>
-                      <td>Chronic condition</td>
+                      <td>grade</td>
+                      <td>(source variable: grade)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
-                        </div>
+                        <code>N</code>
                       </td>
+                      <td>N</td>
+                      <td>(source variable: N)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>vax</code>
                       </td>
-                      <td>Data source</td>
+                      <td>Exemption type</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">full_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">personal_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">medical_exempt</span>
                         </div>
                       </td>
                       <td></td>
@@ -33153,41 +32166,41 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Chronic disease prevalence (Epic, county)</td>
-                      <td>Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at county level.</td>
+                      <td>Exemption rate</td>
+                      <td>Percentage of kindergartners with exemptions from the specified vaccine requirement.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_captured</code>
+                        <code>percent_surveyed</code>
                       </td>
-                      <td>Epic population capture (%, county)</td>
-                      <td>Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>percent_surveyed</td>
+                      <td>(source variable: percent_surveyed)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sample_size</code>
+                        <code>survey_type</code>
                       </td>
-                      <td>Epic patient count (county)</td>
-                      <td>Number of Epic Cosmos patients in the county analysis; values &lt;=10 are reported as '10 or fewer'.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>survey_type</td>
+                      <td>(source variable: survey_type)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>epic_prevalence_by_geography_year.parquet</code>
+                <code>schoolvaxview_overall.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/state_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvaxview/standard/data.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -33204,72 +32217,60 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
+                        <code>time</code>
                       </td>
-                      <td>FIPS code</td>
-                      <td>State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.</td>
+                      <td>Time</td>
+                      <td>School-year end date for the vaccination assessment (YYYY-mm-dd; academic year start convention, e.g. 2023-09-01).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>geography</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>grade</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
+                      <td>grade</td>
+                      <td>(source variable: grade)</td>
                       <td></td>
                       <td></td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Chronic condition</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
-                        </div>
+                    <tr>
+                      <td>
+                        <code>N</code>
                       </td>
+                      <td>N</td>
+                      <td>(source variable: N)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>vax</code>
                       </td>
-                      <td>Data source / clinical definition</td>
+                      <td>Vaccine / exemption code</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: BMI</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: HbA1c</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: ICD10</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">mmr</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">mmr (pac)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">dtap</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">polio</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">varicella</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">hep_b</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">full_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">personal_exempt</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">medical_exempt</span>
                         </div>
                       </td>
                       <td></td>
@@ -33279,41 +32280,44 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Chronic disease prevalence (Epic, state)</td>
-                      <td>Estimated prevalence of diabetes or obesity from Epic Cosmos EHR, by state and year.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>value</td>
+                      <td>(source variable: value)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_captured</code>
+                        <code>percent_surveyed</code>
                       </td>
-                      <td>Epic population capture (%)</td>
-                      <td>Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>percent_surveyed</td>
+                      <td>(source variable: percent_surveyed)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sample_size</code>
+                        <code>survey_type</code>
                       </td>
-                      <td>Epic patient count (state)</td>
-                      <td>Number of Epic Cosmos patients in the state-level analysis. Values &lt;=10 are reported as '10 or fewer'.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>survey_type</td>
+                      <td>(source variable: survey_type)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>epic_prevalence_by_geography.parquet</code>
+                <code>state_compare.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/state_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nis/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nis/standard/data.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvaxview/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvaxview/standard/data.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -33333,96 +32337,69 @@ <h5 class="mt-3">
                         <code>geography</code>
                       </td>
                       <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
-                      </td>
-                      <td>FIPS code</td>
-                      <td>State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.</td>
+                      <td>FIPS code identifier (00 = national, 2-digit = state).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>value_nis</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
-                      <td></td>
-                      <td></td>
+                      <td>MMR uptake (NIS, 35 months)</td>
+                      <td>Percent of 2021 birth cohort with ≥1 dose MMR by 35 months, from CDC NIS.</td>
+                      <td>Percent</td>
+                      <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Chronic condition</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
-                        </div>
+                        <code>value_nis_ucl</code>
                       </td>
+                      <td>value_nis_ucl</td>
+                      <td>(source variable: vax_uptake_overall_ucl)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                        </div>
+                        <code>value_nis_lcl</code>
                       </td>
+                      <td>value_nis_lcl</td>
+                      <td>(source variable: vax_uptake_overall_lcl)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
-                      </td>
-                      <td>Chronic disease prevalence (Epic, state)</td>
-                      <td>Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at state level.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_captured</code>
+                        <code>value_vaxview</code>
                       </td>
-                      <td>Epic population capture (%)</td>
-                      <td>Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.</td>
+                      <td>MMR coverage (SchoolVaxView, kindergarten)</td>
+                      <td>Percent of kindergartners with MMR vaccination, from CDC SchoolVaxView (2023-24 school year).</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sample_size</code>
+                        <code>vaxview_survey_type</code>
                       </td>
-                      <td>Epic patient count (state)</td>
-                      <td>Number of Epic Cosmos patients in the analysis; values &lt;=10 are reported as '10 or fewer'.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>vaxview_survey_type</td>
+                      <td>(source variable: survey_type)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>overdose_by_geography_and_source_county.parquet</code>
+                <code>wapo_vax_counties.parquet</code>
               </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvax_washpost/standard/data_counties.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvax_washpost/standard/data_counties.csv.gz</code>
+                </a>
+              </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
                   <thead>
@@ -33440,52 +32417,60 @@ <h5 class="mt-3">
                         <code>geography</code>
                       </td>
                       <td>Geography</td>
-                      <td>5-digit county FIPS code as a string.</td>
+                      <td>County FIPS code identifier (5-digit).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>date</code>
+                        <code>time</code>
                       </td>
-                      <td>Date</td>
-                      <td>Observation date in YYYY-MM-DD format.</td>
+                      <td>Time</td>
+                      <td>School-year date for the county vaccination rate (YYYY-mm-dd).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>wapo_county_vax_rate</code>
                       </td>
-                      <td>Data source</td>
+                      <td>wapo_county_vax_rate</td>
+                      <td>(source variable: wapo_county_vax_rate)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        Data source for the county overdose measure.
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/NCHS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                        </div>
+                        <code>wapo_prepand_herd</code>
                       </td>
+                      <td>wapo_prepand_herd</td>
+                      <td>(source variable: wapo_prepand_herd)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>wapo_postpand_herd</code>
                       </td>
-                      <td>Overdose measure (county)</td>
-                      <td>Drug overdose measure at the county level by source (stale/foreign output).</td>
-                      <td>Rate</td>
-                      <td>Rate</td>
+                      <td>wapo_postpand_herd</td>
+                      <td>(source variable: wapo_postpand_herd)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>overdose_by_geography_and_source.parquet</code>
+                <code>wapo_vax_schools.parquet</code>
               </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/schoolvax_washpost/standard/data_schools.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>schoolvax_washpost/standard/data_schools.csv.gz</code>
+                </a>
+              </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
                   <thead>
@@ -33500,174 +32485,186 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>fips</code>
+                        <code>geography</code>
                       </td>
-                      <td>FIPS code</td>
-                      <td>State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.</td>
+                      <td>Geography</td>
+                      <td>FIPS code identifier for the school's county (5-digit).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>date</code>
+                        <code>time</code>
                       </td>
-                      <td>Date</td>
-                      <td>Observation date in YYYY-MM-DD format.</td>
+                      <td>Time</td>
+                      <td>School-year date for the school vaccination record (YYYY-mm-dd).</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>wapo_school_name</code>
                       </td>
-                      <td>Overdose measure</td>
-                      <td>Drug overdose measure (deaths or scaled indicator) by source (stale/foreign output).</td>
-                      <td>Rate</td>
-                      <td>Rate</td>
+                      <td>wapo_school_name</td>
+                      <td>(source variable: wapo_school_name)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>nchs_n_deaths_overdose</code>
+                        <code>wapo_school_type</code>
                       </td>
-                      <td>NCHS overdose deaths</td>
-                      <td>Number of drug overdose deaths reported by CDC/NCHS.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>wapo_school_type</td>
+                      <td>(source variable: wapo_school_type)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed</code>
+                        <code>wapo_students_enrolled</code>
                       </td>
-                      <td>Suppressed flag</td>
-                      <td>1 if the value was suppressed (small count), 0 otherwise.</td>
-                      <td>Binary</td>
-                      <td>0/1</td>
+                      <td>wapo_students_enrolled</td>
+                      <td>(source variable: wapo_students_enrolled)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>wapo_school_mmr_rate</code>
                       </td>
-                      <td>Data source</td>
+                      <td>wapo_school_mmr_rate</td>
+                      <td>(source variable: wapo_school_mmr_rate)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
                       <td>
-                        Data source for the overdose measure.
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/NCHS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/WISQARS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Google Health Trends</span>
-                        </div>
+                        <code>wapo_school_overall_rate</code>
                       </td>
+                      <td>wapo_school_overall_rate</td>
+                      <td>(source variable: wapo_school_overall_rate)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>age</code>
+                        <code>wapo_school_medical_exemption_rate</code>
                       </td>
-                      <td>Age group</td>
-                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td>wapo_school_medical_exemption_rate</td>
+                      <td>(source variable: wapo_school_medical_exemption_rate)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time_end</code>
+                        <code>wapo_school_religious_exemption_rate</code>
                       </td>
-                      <td>Period end date</td>
-                      <td>End date of the observation period (YYYY-MM-DD).</td>
+                      <td>wapo_school_religious_exemption_rate</td>
+                      <td>(source variable: wapo_school_religious_exemption_rate)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>wapo_school_personal_exemption_rate</code>
                       </td>
-                      <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
+                      <td>wapo_school_personal_exemption_rate</td>
+                      <td>(source variable: wapo_school_personal_exemption_rate)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_scale</code>
+                        <code>wapo_school_nonmedical_exemption_rate</code>
                       </td>
-                      <td>Overdose measure (scaled)</td>
-                      <td>Overdose measure min-max scaled to 0-100 for cross-source visualization.</td>
-                      <td>Percent</td>
-                      <td>0-100</td>
+                      <td>wapo_school_nonmedical_exemption_rate</td>
+                      <td>(source variable: wapo_school_nonmedical_exemption_rate)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>overdose_deaths_county.parquet</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
                     <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
+                      <td>
+                        <code>wapo_school_overall_exemption_rate</code>
+                      </td>
+                      <td>wapo_school_overall_exemption_rate</td>
+                      <td>(source variable: wapo_school_overall_exemption_rate)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
-                  </thead>
-                  <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
+                        <code>wapo_school_lat</code>
                       </td>
-                      <td>Geography</td>
-                      <td>5-digit county FIPS code as a string.</td>
+                      <td>wapo_school_lat</td>
+                      <td>(source variable: wapo_school_lat)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>wapo_school_lon</code>
                       </td>
-                      <td>Time</td>
-                      <td>Observation date in YYYY-MM-DD format.</td>
+                      <td>wapo_school_lon</td>
+                      <td>(source variable: wapo_school_lon)</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_overdose</code>
+                        <code>wapo_school_county</code>
                       </td>
-                      <td>Overdose deaths (count)</td>
-                      <td>Number of drug overdose deaths at the county level.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>wapo_school_county</td>
+                      <td>(source variable: wapo_school_county)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>rate_deaths_overdose</code>
+                        <code>wapo_school_state</code>
                       </td>
-                      <td>Overdose death rate (county)</td>
-                      <td>Drug overdose death rate at the county level.</td>
-                      <td>Rate</td>
-                      <td>Deaths per 100,000</td>
+                      <td>wapo_school_state</td>
+                      <td>(source variable: wapo_school_state)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed</code>
+                        <code>wapo_school_grade</code>
                       </td>
-                      <td>Suppressed flag</td>
-                      <td>1 if the count was suppressed (small count), 0 otherwise.</td>
-                      <td>Binary</td>
-                      <td>0/1</td>
+                      <td>wapo_school_grade</td>
+                      <td>(source variable: wapo_school_grade)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
               </div>
+            </section>
+            <section id="bundle-chronic-diseases" class="mb-5">
+              <h2 class="border-bottom pb-2">Bundle: Chronic Diseases</h2>
+              <p class="text-muted">
+                <em>Combined output bundle. Dist files: 4 parquet file(s).</em>
+              </p>
+              <p class="mb-3">
+                <strong>Data sources: </strong>
+                <a href="#brfss" class="bundle-source-link">BRFSS</a>
+                ; 
+                <a href="#cms-mmd" class="bundle-source-link">CMS Mmd</a>
+                ; 
+                <a href="#epic-chronic" class="bundle-source-link">Epic Chronic</a>
+              </p>
+              <h4 class="mt-4">Output Files (dist/)</h4>
               <h5 class="mt-3">
-                <code>overdose_deaths_state.parquet</code>
+                <code>brfss_prevalence_by_geography.parquet</code>
               </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data_survey.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>brfss/standard/data_survey.csv.gz</code>
+                </a>
+              </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
                   <thead>
@@ -33685,52 +32682,111 @@ <h5 class="mt-3">
                         <code>geography</code>
                       </td>
                       <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
+                      <td>Geographic unit: U.S. state/territory name (state-level files) or 5-digit county FIPS code (county-level files); 'United States' or '00' = national.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>time</code>
+                        <code>year</code>
                       </td>
-                      <td>Time</td>
-                      <td>Observation date in YYYY-MM-DD format.</td>
+                      <td>Year</td>
+                      <td>Calendar year of the estimate.</td>
                       <td></td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>n_deaths_overdose</code>
+                        <code>age</code>
                       </td>
-                      <td>Overdose deaths (count)</td>
-                      <td>Number of drug overdose deaths at the state level.</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>Age group</td>
+                      <td>Age group for the estimate (e.g. 18-49, 65+ Years, Total).</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>rate_deaths_overdose</code>
+                        <code>source</code>
                       </td>
-                      <td>Overdose death rate (state)</td>
-                      <td>Drug overdose death rate at the state level.</td>
-                      <td>Rate</td>
-                      <td>Deaths per 100,000</td>
+                      <td>Data source</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>Chronic condition</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value</code>
+                      </td>
+                      <td>Chronic disease prevalence (BRFSS)</td>
+                      <td>Estimated prevalence of diabetes or obesity from BRFSS telephone survey, by state and year.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value_lcl</code>
+                      </td>
+                      <td>Prevalence lower 95% CI (BRFSS)</td>
+                      <td>Lower bound of the 95% confidence interval for BRFSS chronic disease prevalence.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value_ucl</code>
+                      </td>
+                      <td>Prevalence upper 95% CI (BRFSS)</td>
+                      <td>Upper bound of the 95% confidence interval for BRFSS chronic disease prevalence.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size</code>
+                      </td>
+                      <td>Sample size (BRFSS)</td>
+                      <td>Number of BRFSS survey respondents used to estimate chronic disease prevalence.</td>
+                      <td>Count</td>
+                      <td>Count</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>prevalence_by_geography_and_source.parquet</code>
+                <code>epic_prevalence_by_geography_county_and_source.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data_survey.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>brfss/standard/data_survey.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/state_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/county_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>epic_chronic/standard/county_year.csv.gz</code>
                 </a>
                 <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
                   <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
@@ -33753,7 +32809,7 @@ <h5 class="mt-3">
                         <code>geography</code>
                       </td>
                       <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
+                      <td>5-digit county FIPS code as a string.</td>
                       <td></td>
                       <td></td>
                     </tr>
@@ -33768,17 +32824,18 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
+                        <code>source</code>
                       </td>
-                      <td>Chronic condition</td>
+                      <td>Data source / clinical definition</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: BMI</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: HbA1c</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
                         </div>
                       </td>
                       <td></td>
@@ -33786,18 +32843,17 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>outcome_name</code>
                       </td>
-                      <td>Data source</td>
+                      <td>Chronic condition</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare_CMS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
                         </div>
                       </td>
                       <td></td>
@@ -33807,66 +32863,51 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Chronic disease prevalence</td>
-                      <td>Combined state-level prevalence of diabetes or obesity from BRFSS, Epic Cosmos, and Medicare, most recent year.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>pct_captured</code>
-                      </td>
-                      <td>Epic population capture (%)</td>
-                      <td>For Epic Cosmos rows, percentage of the 2021 population in the Epic panel; NA otherwise.</td>
+                      <td>Chronic disease prevalence (county)</td>
+                      <td>Estimated prevalence of diabetes or obesity at county level from Epic Cosmos or Medicare FFS.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sample_size</code>
+                        <code>year</code>
                       </td>
-                      <td>Sample size</td>
-                      <td>Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare).</td>
-                      <td>Count</td>
-                      <td>Count</td>
+                      <td>Year</td>
+                      <td>Calendar year of the estimate.</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_lcl</code>
+                        <code>pct_captured</code>
                       </td>
-                      <td>Prevalence lower 95% CI</td>
-                      <td>Lower bound of the 95% confidence interval (BRFSS rows only).</td>
+                      <td>Epic population capture (%, county)</td>
+                      <td>Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group (Epic rows only).</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value_ucl</code>
+                        <code>sample_size</code>
                       </td>
-                      <td>Prevalence upper 95% CI</td>
-                      <td>Upper bound of the 95% confidence interval (BRFSS rows only).</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>Patient count (county)</td>
+                      <td>Number of patients used in the county-level analysis. Small counts from Epic Cosmos are reported as '10 or fewer'.</td>
+                      <td>Count</td>
+                      <td>Count</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>prevalence_by_geography_and_year_and_source.parquet</code>
+                <code>epic_prevalence_by_geography_year.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data_survey.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>brfss/standard/data_survey.csv.gz</code>
-                </a>
                 <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
                   <code>epic_chronic/standard/state_year.csv.gz</code>
                 </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
-                </a>
               </div>
               <div class="table-responsive">
                 <table class="table table-striped table-sm">
@@ -33889,6 +32930,15 @@ <h5 class="mt-3">
                       <td></td>
                       <td></td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>fips</code>
+                      </td>
+                      <td>FIPS code</td>
+                      <td>State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
                     <tr>
                       <td>
                         <code>age</code>
@@ -33911,7 +32961,7 @@ <h5 class="mt-3">
                       <td>
                         <code>outcome_name</code>
                       </td>
-                      <td>outcome_name</td>
+                      <td>Chronic condition</td>
                       <td>
                         
                         <div class="mt-1">
@@ -33936,11 +32986,9 @@ <h5 class="mt-3">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
                           <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: BMI</span>
                           <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: HbA1c</span>
                           <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: ICD10</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
                         </div>
                       </td>
                       <td></td>
@@ -33950,8 +32998,8 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Chronic disease prevalence</td>
-                      <td>Estimated prevalence of diabetes or obesity by state and year from multiple sources.</td>
+                      <td>Chronic disease prevalence (Epic, state)</td>
+                      <td>Estimated prevalence of diabetes or obesity from Epic Cosmos EHR, by state and year.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
@@ -33960,7 +33008,7 @@ <h5 class="mt-3">
                         <code>pct_captured</code>
                       </td>
                       <td>Epic population capture (%)</td>
-                      <td>For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.</td>
+                      <td>Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
@@ -33968,34 +33016,16 @@ <h5 class="mt-3">
                       <td>
                         <code>sample_size</code>
                       </td>
-                      <td>Sample size</td>
-                      <td>Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.</td>
+                      <td>Epic patient count (state)</td>
+                      <td>Number of Epic Cosmos patients in the state-level analysis. Values &lt;=10 are reported as '10 or fewer'.</td>
                       <td>Count</td>
                       <td>Count</td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>value_lcl</code>
-                      </td>
-                      <td>Prevalence lower 95% CI</td>
-                      <td>Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_ucl</code>
-                      </td>
-                      <td>Prevalence upper 95% CI</td>
-                      <td>Upper bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>prevalence_by_geography_year_and_source.parquet</code>
+                <code>prevalence_by_geography_and_year_and_source.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
@@ -34004,6 +33034,9 @@ <h5 class="mt-3">
                 <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data_survey.csv.gz" target="_blank" class="me-2 text-decoration-none">
                   <code>brfss/standard/data_survey.csv.gz</code>
                 </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>epic_chronic/standard/state_year.csv.gz</code>
+                </a>
                 <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
                   <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
                 </a>
@@ -34022,10 +33055,10 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>fips</code>
+                        <code>geography</code>
                       </td>
-                      <td>FIPS code</td>
-                      <td>State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.</td>
+                      <td>Geography</td>
+                      <td>U.S. state or territory name; 'United States' = national.</td>
                       <td></td>
                       <td></td>
                     </tr>
@@ -34040,17 +33073,26 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>year</code>
                       </td>
-                      <td>Data source</td>
+                      <td>Year</td>
+                      <td>Calendar year of the estimate.</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>outcome_name</code>
+                      </td>
+                      <td>outcome_name</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare_CMS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
                         </div>
                       </td>
                       <td></td>
@@ -34058,26 +33100,20 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>U.S. state or territory name; 'United States' = national.</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
+                        <code>source</code>
                       </td>
-                      <td>Chronic condition</td>
+                      <td>Data source / clinical definition</td>
                       <td>
                         
                         <div class="mt-1">
                           <small class="text-muted">
                             <em>Values: </em>
                           </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Diabetes</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Obesity</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC BRFSS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: BMI</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: HbA1c</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos: ICD10</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
                         </div>
                       </td>
                       <td></td>
@@ -34088,25 +33124,34 @@ <h5 class="mt-3">
                         <code>value</code>
                       </td>
                       <td>Chronic disease prevalence</td>
-                      <td>Combined BRFSS and Medicare FFS prevalence of diabetes or obesity by state and year.</td>
+                      <td>Estimated prevalence of diabetes or obesity by state and year from multiple sources.</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>pct_captured</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year of the estimate.</td>
-                      <td></td>
-                      <td></td>
+                      <td>Epic population capture (%)</td>
+                      <td>For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>sample_size</code>
+                      </td>
+                      <td>Sample size</td>
+                      <td>Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.</td>
+                      <td>Count</td>
+                      <td>Count</td>
                     </tr>
                     <tr>
                       <td>
                         <code>value_lcl</code>
                       </td>
                       <td>Prevalence lower 95% CI</td>
-                      <td>Lower bound of the 95% confidence interval (BRFSS rows only).</td>
+                      <td>Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
@@ -34115,7 +33160,7 @@ <h5 class="mt-3">
                         <code>value_ucl</code>
                       </td>
                       <td>Prevalence upper 95% CI</td>
-                      <td>Upper bound of the 95% confidence interval (BRFSS rows only).</td>
+                      <td>Upper bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).</td>
                       <td>Percent</td>
                       <td>%</td>
                     </tr>
@@ -34855,7 +33900,7 @@ <h5 class="mt-3">
             <section id="bundle-injury-overdose" class="mb-5">
               <h2 class="border-bottom pb-2">Bundle: Injury Overdose</h2>
               <p class="text-muted">
-                <em>Combined output bundle. Dist files: 20 parquet file(s).</em>
+                <em>Combined output bundle. Dist files: 17 parquet file(s).</em>
               </p>
               <p class="mb-3">
                 <strong>Data sources: </strong>
@@ -34878,104 +33923,6 @@ <h2 class="border-bottom pb-2">Bundle: Injury Overdose</h2>
                 <a href="#wisqars" class="bundle-source-link">Wisqars</a>
               </p>
               <h4 class="mt-4">Output Files (dist/)</h4>
-              <h5 class="mt-3">
-                <code>brfss_prevalence_by_geography.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/brfss/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>brfss/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year</td>
-                      <td>date</td>
-                      <td>year</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age Group</td>
-                      <td>Age group category</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Source</td>
-                      <td>Data source identifier for tall-format files</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>outcome_name</code>
-                      </td>
-                      <td>Outcome</td>
-                      <td>Health outcome name (e.g., Diabetes, Obesity)</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>BRFSS prevalence</td>
-                      <td>Self-reported prevalence (%) of the outcome from the CDC BRFSS survey.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_lcl</code>
-                      </td>
-                      <td>Prevalence lower CI</td>
-                      <td>Lower bound of the 95% confidence interval for the BRFSS prevalence estimate.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value_ucl</code>
-                      </td>
-                      <td>Prevalence upper CI</td>
-                      <td>Upper bound of the 95% confidence interval for the BRFSS prevalence estimate.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
               <h5 class="mt-3">
                 <code>county_opioid_by_source.parquet</code>
               </h5>
@@ -35046,135 +33993,6 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
-              <h5 class="mt-3">
-                <code>deaths_cause_age_demographics.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/wisqars/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>wisqars/standard/data.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year</td>
-                      <td>date</td>
-                      <td>year</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age Group</td>
-                      <td>Age group category</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>sex</code>
-                      </td>
-                      <td>Sex</td>
-                      <td>Sex category (Male, Female, Overall)</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>race</code>
-                      </td>
-                      <td>Race</td>
-                      <td>Race category as reported by CDC WISQARS.</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>ethnicity</code>
-                      </td>
-                      <td>Ethnicity</td>
-                      <td>Ethnicity category (e.g., Hispanic, Non-Hispanic) as reported by CDC WISQARS.</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>cause_of_death</code>
-                      </td>
-                      <td>Cause of death</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Drug poisoning</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Non-drug poisoning</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (unintentional)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (intentional)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (homicide)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (suicide)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (legal intervention)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Motor vehicle, traffic</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Pedal cyclist (motor vehicle)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Pedestrian (motor vehicle traffic)</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Fall</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Drowning, including water transport</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Exposure to smoke, fire, flame</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Natural/environmental</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Suffocation</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>value</td>
-                      <td>(source variable: bundle_injury_overdose/dist/deaths_cause_age.parquet|value)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>N</code>
-                      </td>
-                      <td>N</td>
-                      <td>(source variable: bundle_injury_overdose/dist/deaths_cause_age.parquet|N)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
               <h5 class="mt-3">
                 <code>deaths_cause_age.parquet</code>
               </h5>
@@ -35278,14 +34096,14 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>epic_prevalence_by_geography_year.parquet</code>
+                <code>deaths_cause_age_demographics.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
                   <em>Source files: </em>
                 </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_chronic/standard/state_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_chronic/standard/state_year.csv.gz</code>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/wisqars/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>wisqars/standard/data.csv.gz</code>
                 </a>
               </div>
               <div class="table-responsive">
@@ -35302,21 +34120,12 @@ <h5 class="mt-3">
                   <tbody>
                     <tr>
                       <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>fips</code>
+                        <code>year</code>
                       </td>
-                      <td>FIPS Code</td>
-                      <td>FIPS geographic identifier</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
+                      <td>Year</td>
+                      <td>Calendar year</td>
+                      <td>date</td>
+                      <td>year</td>
                     </tr>
                     <tr>
                       <td>
@@ -35329,57 +34138,88 @@ <h5 class="mt-3">
                     </tr>
                     <tr>
                       <td>
-                        <code>year</code>
+                        <code>sex</code>
                       </td>
-                      <td>Year</td>
-                      <td>Calendar year</td>
-                      <td>date</td>
-                      <td>year</td>
+                      <td>Sex</td>
+                      <td>Sex category (Male, Female, Overall)</td>
+                      <td>category</td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>outcome_name</code>
+                        <code>race</code>
                       </td>
-                      <td>Outcome</td>
-                      <td>Health outcome name (e.g., Diabetes, Obesity)</td>
+                      <td>Race</td>
+                      <td>Race category as reported by CDC WISQARS.</td>
                       <td>category</td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>source</code>
+                        <code>ethnicity</code>
                       </td>
-                      <td>Source</td>
-                      <td>Data source identifier for tall-format files</td>
+                      <td>Ethnicity</td>
+                      <td>Ethnicity category (e.g., Hispanic, Non-Hispanic) as reported by CDC WISQARS.</td>
                       <td>category</td>
                       <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>value</code>
+                        <code>geography</code>
                       </td>
-                      <td>Epic prevalence</td>
-                      <td>Prevalence of the outcome among Epic Cosmos patients, by geography, age, and year.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>Geography</td>
+                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
+                      <td>identifier</td>
+                      <td>name or FIPS code</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>pct_captured</code>
+                        <code>cause_of_death</code>
                       </td>
-                      <td>Percent captured</td>
-                      <td>Percentage of the population represented in the Epic Cosmos denominator for this geography.</td>
-                      <td>Percent</td>
-                      <td>%</td>
+                      <td>Cause of death</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Drug poisoning</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Non-drug poisoning</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (unintentional)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (intentional)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (homicide)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (suicide)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Firearm (legal intervention)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Motor vehicle, traffic</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Pedal cyclist (motor vehicle)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Pedestrian (motor vehicle traffic)</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Fall</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Drowning, including water transport</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Exposure to smoke, fire, flame</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Natural/environmental</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Suffocation</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
                     </tr>
                     <tr>
                       <td>
-                        <code>sample_size</code>
+                        <code>value</code>
                       </td>
-                      <td>Sample size</td>
-                      <td>Number of patients in the Epic Cosmos denominator for this geography, age, and year.</td>
-                      <td>Count</td>
-                      <td>Patients</td>
+                      <td>value</td>
+                      <td>(source variable: bundle_injury_overdose/dist/deaths_cause_age.parquet|value)</td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>N</code>
+                      </td>
+                      <td>N</td>
+                      <td>(source variable: bundle_injury_overdose/dist/deaths_cause_age.parquet|N)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
@@ -35897,99 +34737,6 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
-              <h5 class="mt-3">
-                <code>heat_related_geography_source.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/gtrends/standard/data_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>gtrends/standard/data_year.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_injury/standard/yearly_injury.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_injury/standard/yearly_injury.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>time</code>
-                      </td>
-                      <td>Time</td>
-                      <td>Date in MM-DD-YYYY format (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Google Health Trends: Heat Stroke</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Google Health Trends: Heat Exhaustion</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>value</td>
-                      <td>(source variable: bundle_injury_overdose/dist/heat_by_geography_and_source_state_year.parquet|value)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age Group</td>
-                      <td>Age group category</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>suppressed_heat</code>
-                      </td>
-                      <td>Heat value suppressed flag</td>
-                      <td>1 if the Epic Cosmos heat-related ED value was suppressed (small count) and imputed, 0 otherwise.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
               <h5 class="mt-3">
                 <code>heat_risk.parquet</code>
               </h5>
@@ -36268,114 +35015,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>overdose_by_geography_and_source_county.parquet</code>
-              </h5>
-              <div class="mb-2 small">
-                <span class="text-muted">
-                  <em>Source files: </em>
-                </span>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nchs_mortality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nchs_mortality/standard/data.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nchs_mortality/standard/data_county.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>nchs_mortality/standard/data_county.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/gtrends/standard/data_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>gtrends/standard/data_year.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/wisqars/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>wisqars/standard/data.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_injury/standard/yearly_injury.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>epic_injury/standard/yearly_injury.csv.gz</code>
-                </a>
-                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
-                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
-                </a>
-              </div>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>geography_fips</code>
-                      </td>
-                      <td>County FIPS code</td>
-                      <td>5-digit county FIPS code accompanying the county name in the geography column.</td>
-                      <td>identifier</td>
-                      <td>FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>date</code>
-                      </td>
-                      <td>Date</td>
-                      <td>Date (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>age</code>
-                      </td>
-                      <td>Age Group</td>
-                      <td>Age group category</td>
-                      <td>category</td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>Data source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/NCHS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Google Health Trends</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/WISQARS</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>value</td>
-                      <td>(source variable: bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet|value)</td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
-              <h5 class="mt-3">
-                <code>overdose_by_geography_and_source_state_year.parquet</code>
+                <code>overdose_by_geography_and_source.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
@@ -36421,6 +35061,15 @@ <h5 class="mt-3">
                       <td>identifier</td>
                       <td>name or FIPS code</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>date</code>
+                      </td>
+                      <td>Date</td>
+                      <td>Date (Saturday for weekly data)</td>
+                      <td>date</td>
+                      <td>date</td>
+                    </tr>
                     <tr>
                       <td>
                         <code>age</code>
@@ -36430,15 +35079,6 @@ <h5 class="mt-3">
                       <td>category</td>
                       <td></td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year</td>
-                      <td>date</td>
-                      <td>year</td>
-                    </tr>
                     <tr>
                       <td>
                         <code>source</code>
@@ -36464,16 +35104,34 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>value</td>
-                      <td>(source variable: bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet|value)</td>
-                      <td></td>
-                      <td></td>
+                      <td>Overdose measure</td>
+                      <td>Overdose-related surveillance measure; units and definition depend on the source (see source column).</td>
+                      <td>Mixed (rate or probability, depending on source)</td>
+                      <td>Varies by source</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value_scale</code>
+                      </td>
+                      <td>Overdose measure (scaled 0-1)</td>
+                      <td>Value rescaled to 0-1 relative to the geography and source maximum.</td>
+                      <td>Scaled</td>
+                      <td>0-1</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>suppressed</code>
+                      </td>
+                      <td>Value suppressed flag</td>
+                      <td>1 if the underlying source value was suppressed (small count) and imputed, 0 otherwise.</td>
+                      <td>Binary</td>
+                      <td>Binary indicator</td>
                     </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>overdose_by_geography_and_source.parquet</code>
+                <code>overdose_by_geography_and_source_county.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
@@ -36519,6 +35177,15 @@ <h5 class="mt-3">
                       <td>identifier</td>
                       <td>name or FIPS code</td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>geography_fips</code>
+                      </td>
+                      <td>County FIPS code</td>
+                      <td>5-digit county FIPS code accompanying the county name in the geography column.</td>
+                      <td>identifier</td>
+                      <td>FIPS code</td>
+                    </tr>
                     <tr>
                       <td>
                         <code>date</code>
@@ -36562,28 +35229,108 @@ <h5 class="mt-3">
                       <td>
                         <code>value</code>
                       </td>
-                      <td>Overdose measure</td>
-                      <td>Overdose-related surveillance measure; units and definition depend on the source (see source column).</td>
-                      <td>Mixed (rate or probability, depending on source)</td>
-                      <td>Varies by source</td>
+                      <td>value</td>
+                      <td>(source variable: bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet|value)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
+                  </tbody>
+                </table>
+              </div>
+              <h5 class="mt-3">
+                <code>overdose_by_geography_and_source_state_year.parquet</code>
+              </h5>
+              <div class="mb-2 small">
+                <span class="text-muted">
+                  <em>Source files: </em>
+                </span>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nchs_mortality/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nchs_mortality/standard/data.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/nchs_mortality/standard/data_county.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>nchs_mortality/standard/data_county.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/gtrends/standard/data_year.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>gtrends/standard/data_year.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/wisqars/standard/data.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>wisqars/standard/data.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/epic_injury/standard/yearly_injury.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>epic_injury/standard/yearly_injury.csv.gz</code>
+                </a>
+                <a href="https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/cms_mmd/standard/data_state_county_age.csv.gz" target="_blank" class="me-2 text-decoration-none">
+                  <code>cms_mmd/standard/data_state_county_age.csv.gz</code>
+                </a>
+              </div>
+              <div class="table-responsive">
+                <table class="table table-striped table-sm">
+                  <thead>
+                    <tr>
+                      <th>Variable</th>
+                      <th>Short Name</th>
+                      <th>Description</th>
+                      <th>Type</th>
+                      <th>Unit</th>
+                    </tr>
+                  </thead>
+                  <tbody>
                     <tr>
                       <td>
-                        <code>value_scale</code>
+                        <code>geography</code>
                       </td>
-                      <td>Overdose measure (scaled 0-1)</td>
-                      <td>Value rescaled to 0-1 relative to the geography and source maximum.</td>
-                      <td>Scaled</td>
-                      <td>0-1</td>
+                      <td>Geography</td>
+                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
+                      <td>identifier</td>
+                      <td>name or FIPS code</td>
                     </tr>
                     <tr>
                       <td>
-                        <code>suppressed</code>
+                        <code>age</code>
                       </td>
-                      <td>Value suppressed flag</td>
-                      <td>1 if the underlying source value was suppressed (small count) and imputed, 0 otherwise.</td>
-                      <td>Binary</td>
-                      <td>Binary indicator</td>
+                      <td>Age Group</td>
+                      <td>Age group category</td>
+                      <td>category</td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>year</code>
+                      </td>
+                      <td>Year</td>
+                      <td>Calendar year</td>
+                      <td>date</td>
+                      <td>year</td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>source</code>
+                      </td>
+                      <td>Data source</td>
+                      <td>
+                        
+                        <div class="mt-1">
+                          <small class="text-muted">
+                            <em>Values: </em>
+                          </small>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/NCHS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Google Health Trends</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">CDC/WISQARS</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Epic Cosmos</span>
+                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">Medicare FFS</span>
+                        </div>
+                      </td>
+                      <td></td>
+                      <td></td>
+                    </tr>
+                    <tr>
+                      <td>
+                        <code>value</code>
+                      </td>
+                      <td>value</td>
+                      <td>(source variable: bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet|value)</td>
+                      <td></td>
+                      <td></td>
                     </tr>
                   </tbody>
                 </table>
@@ -37032,7 +35779,7 @@ <h5 class="mt-3">
             <section id="bundle-measles" class="mb-5">
               <h2 class="border-bottom pb-2">Bundle: Measles</h2>
               <p class="text-muted">
-                <em>Combined output bundle. Dist files: 4 parquet file(s).</em>
+                <em>Combined output bundle. Dist files: 3 parquet file(s).</em>
               </p>
               <p class="mb-3">
                 <strong>Data sources: </strong>
@@ -37302,96 +36049,6 @@ <h5 class="mt-3">
                   </tbody>
                 </table>
               </div>
-              <h5 class="mt-3">
-                <code>measles_imported_indigenous.parquet</code>
-              </h5>
-              <div class="table-responsive">
-                <table class="table table-striped table-sm">
-                  <thead>
-                    <tr>
-                      <th>Variable</th>
-                      <th>Short Name</th>
-                      <th>Description</th>
-                      <th>Type</th>
-                      <th>Unit</th>
-                    </tr>
-                  </thead>
-                  <tbody>
-                    <tr>
-                      <td>
-                        <code>geography</code>
-                      </td>
-                      <td>Geography</td>
-                      <td>Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)</td>
-                      <td>identifier</td>
-                      <td>name or FIPS code</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>date</code>
-                      </td>
-                      <td>Date</td>
-                      <td>Date (Saturday for weekly data)</td>
-                      <td>date</td>
-                      <td>date</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>year</code>
-                      </td>
-                      <td>Year</td>
-                      <td>Calendar year</td>
-                      <td>date</td>
-                      <td>year</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>week</code>
-                      </td>
-                      <td>ISO Week</td>
-                      <td>ISO week number within the year</td>
-                      <td>integer</td>
-                      <td>week number</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>source</code>
-                      </td>
-                      <td>source</td>
-                      <td>
-                        
-                        <div class="mt-1">
-                          <small class="text-muted">
-                            <em>Values: </em>
-                          </small>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">measles_imported</span>
-                          <span class="badge bg-secondary me-1 mb-1" style="font-weight: normal;">measles_indigenous</span>
-                        </div>
-                      </td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>value</code>
-                      </td>
-                      <td>Measles cases by importation status</td>
-                      <td>Cumulative year-to-date count of measles cases classified as imported or indigenous, by state or nationally.</td>
-                      <td>Cumulative Count</td>
-                      <td>Cumulative cases</td>
-                    </tr>
-                    <tr>
-                      <td>
-                        <code>new_value</code>
-                      </td>
-                      <td>new_value</td>
-                      <td></td>
-                      <td></td>
-                      <td></td>
-                    </tr>
-                  </tbody>
-                </table>
-              </div>
               <h5 class="mt-3">
                 <code>measles_state.parquet</code>
               </h5>
@@ -38858,7 +37515,7 @@ <h5 class="mt-3">
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>pneumococcus_by_geography_year.parquet</code>
+                <code>pneumococcus_by_geography.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
@@ -38925,20 +37582,11 @@ <h5 class="mt-3">
                       <td></td>
                       <td></td>
                     </tr>
-                    <tr>
-                      <td>
-                        <code>value_smooth</code>
-                      </td>
-                      <td>Pneumococcal IPD % (3-year smoothed)</td>
-                      <td>3-year rolling average of the percent of IPD cases caused by each pneumococcal serotype.</td>
-                      <td>Percent</td>
-                      <td>%</td>
-                    </tr>
                   </tbody>
                 </table>
               </div>
               <h5 class="mt-3">
-                <code>pneumococcus_by_geography.parquet</code>
+                <code>pneumococcus_by_geography_year.parquet</code>
               </h5>
               <div class="mb-2 small">
                 <span class="text-muted">
@@ -39005,6 +37653,15 @@ <h5 class="mt-3">
                       <td></td>
                       <td></td>
                     </tr>
+                    <tr>
+                      <td>
+                        <code>value_smooth</code>
+                      </td>
+                      <td>Pneumococcal IPD % (3-year smoothed)</td>
+                      <td>3-year rolling average of the percent of IPD cases caused by each pneumococcal serotype.</td>
+                      <td>Percent</td>
+                      <td>%</td>
+                    </tr>
                   </tbody>
                 </table>
               </div>
diff --git a/resources/data_manifest.json b/resources/data_manifest.json
index 6dcc396c0..a0d8727a1 100644
--- a/resources/data_manifest.json
+++ b/resources/data_manifest.json
@@ -1,5 +1,5 @@
 {
-  "generated": "2026-07-30T09:33:59Z",
+  "generated": "2026-07-30T10:28:17Z",
   "repository": "PopHIVE/Ingest",
   "github_raw_base": "https://raw.githubusercontent.com/PopHIVE/Ingest/main",
   "bundles": {
@@ -1468,123 +1468,6 @@
             }
           ]
         },
-        {
-          "filename": "county_opioid_by_source.parquet",
-          "path": "data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/county_opioid_by_source.parquet",
-          "columns": [
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year of the estimate.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "County FIPS code or state/county name.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "opioid_rate",
-              "short_name": "Opioid use disorder rate",
-              "description": "Opioid use disorder prevalence rate at the county level (stale/foreign output).",
-              "measure_type": "Rate",
-              "unit": "Rate",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "Data source for the opioid rate.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Medicare": {}
-              }
-            }
-          ]
-        },
-        {
-          "filename": "deaths_cause_age.parquet",
-          "path": "data/bundle_chronic_diseases/dist/deaths_cause_age.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/deaths_cause_age.parquet",
-          "columns": [
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year of the estimate.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "cause_of_death",
-              "short_name": "Cause of death",
-              "description": "Injury/external cause of death category (CDC WISQARS classification).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "cut_pierce": {},
-                "drowning_includes_water_transport_": {},
-                "drug_poisoning": {},
-                "fall": {},
-                "fire_flame": {},
-                "firearm_accident": {},
-                "firearm_intentional": {},
-                "machinery": {},
-                "motor_vehicle_traffic": {},
-                "natural_environmental": {},
-                "non_drug_poisoning": {},
-                "other_specified_and_classifiable": {},
-                "other_specified_nec": {},
-                "pedal_cyclist_other": {},
-                "pedestrian_other": {},
-                "struck_by_against": {},
-                "suffocation": {},
-                "transport_other_excl_drown_by_water_transp_": {},
-                "transport_other_land": {},
-                "unspecified": {}
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Death rate",
-              "description": "Death rate for the given cause of death, by age and geography (stale/foreign output).",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000",
-              "levels": {}
-            },
-            {
-              "name": "N",
-              "short_name": "Number of deaths",
-              "description": "Count of deaths for the given cause of death, age, and geography.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            }
-          ]
-        },
         {
           "filename": "epic_prevalence_by_geography_county_and_source.parquet",
           "path": "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county_and_source.parquet",
@@ -1669,74 +1552,6 @@
             }
           ]
         },
-        {
-          "filename": "epic_prevalence_by_geography_county.parquet",
-          "path": "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_county.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "5-digit county FIPS code as a string.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "Chronic condition",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Diabetes": {},
-                "Obesity": {}
-              }
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Epic Cosmos": {}
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Chronic disease prevalence (Epic, county)",
-              "description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at county level.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "pct_captured",
-              "short_name": "Epic population capture (%, county)",
-              "description": "Percentage of the 2021 county population represented in the Epic Cosmos patient panel, by age group.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "sample_size",
-              "short_name": "Epic patient count (county)",
-              "description": "Number of Epic Cosmos patients in the county analysis; values <=10 are reported as '10 or fewer'.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            }
-          ]
-        },
         {
           "filename": "epic_prevalence_by_geography_year.parquet",
           "path": "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography_year.parquet",
@@ -1830,9 +1645,9 @@
           ]
         },
         {
-          "filename": "epic_prevalence_by_geography.parquet",
-          "path": "data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/epic_prevalence_by_geography.parquet",
+          "filename": "prevalence_by_geography_and_year_and_source.parquet",
+          "path": "data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet",
           "columns": [
             {
               "name": "geography",
@@ -1843,46 +1658,102 @@
               "levels": {}
             },
             {
-              "name": "fips",
-              "short_name": "FIPS code",
-              "description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
+              "name": "age",
+              "short_name": "Age group",
+              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
               "measure_type": "",
               "unit": "",
               "levels": {}
             },
             {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
+              "name": "year",
+              "short_name": "Year",
+              "description": "Calendar year of the estimate.",
               "measure_type": "",
               "unit": "",
               "levels": {}
             },
             {
               "name": "outcome_name",
-              "short_name": "Chronic condition",
+              "short_name": "outcome_name",
               "description": "",
               "measure_type": "",
               "unit": "",
               "levels": {
-                "Diabetes": {},
-                "Obesity": {}
+                "Diabetes": {
+                  "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name=Diabetes",
+                  "short_name": "Diabetes",
+                  "long_name": "Diabetes Prevalence",
+                  "category": "chronic_disease",
+                  "short_description": "Estimated prevalence of diabetes among adults.",
+                  "long_description": "Estimated prevalence of diabetes among adults, from BRFSS (self-reported diagnosis), Epic Cosmos (HbA1c >=6.5% or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+                  "measure_type": "Percent",
+                  "unit": "%",
+                  "time_resolution": "Year",
+                  "sources": [
+                    {
+                      "id": "brfss"
+                    },
+                    {
+                      "id": "epic"
+                    },
+                    {
+                      "id": "cms_mmd"
+                    }
+                  ]
+                },
+                "Obesity": {
+                  "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name=Obesity",
+                  "short_name": "Obesity",
+                  "long_name": "Obesity Prevalence",
+                  "category": "chronic_disease",
+                  "short_description": "Estimated prevalence of obesity (BMI >=30) among adults.",
+                  "long_description": "Estimated prevalence of obesity among adults, from BRFSS (self-reported height/weight, BMI >=30), Epic Cosmos (measured BMI >=30 or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
+                  "measure_type": "Percent",
+                  "unit": "%",
+                  "time_resolution": "Year",
+                  "sources": [
+                    {
+                      "id": "brfss"
+                    },
+                    {
+                      "id": "epic"
+                    },
+                    {
+                      "id": "cms_mmd"
+                    }
+                  ]
+                }
               }
             },
             {
               "name": "source",
-              "short_name": "Data source",
+              "short_name": "Data source / clinical definition",
               "description": "",
               "measure_type": "",
               "unit": "",
               "levels": {
-                "Epic Cosmos": {}
+                "CDC BRFSS": {
+                  "source_id": "prev_diabetes_survey"
+                },
+                "Epic Cosmos: BMI": {
+                  "source_id": "obesity_bmi"
+                },
+                "Epic Cosmos: HbA1c": {
+                  "source_id": "diabetes_a1c_6_5"
+                },
+                "Epic Cosmos: ICD10": {
+                  "source_id": "diabetes_dx_ccw"
+                },
+                "Medicare FFS": {
+                  "source_id": "cms_diabetes"
+                }
               }
             },
             {
               "name": "value",
-              "short_name": "Chronic disease prevalence (Epic, state)",
-              "description": "Estimated prevalence of diabetes or obesity from Epic Cosmos EHR at state level.",
+              "short_name": "Chronic disease prevalence",
+              "description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
               "measure_type": "Percent",
               "unit": "%",
               "levels": {}
@@ -1890,467 +1761,25 @@
             {
               "name": "pct_captured",
               "short_name": "Epic population capture (%)",
-              "description": "Percentage of the 2021 state population represented in the Epic Cosmos patient panel, by age group.",
+              "description": "For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.",
               "measure_type": "Percent",
               "unit": "%",
               "levels": {}
             },
             {
               "name": "sample_size",
-              "short_name": "Epic patient count (state)",
-              "description": "Number of Epic Cosmos patients in the analysis; values <=10 are reported as '10 or fewer'.",
+              "short_name": "Sample size",
+              "description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.",
               "measure_type": "Count",
               "unit": "Count",
               "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "overdose_by_geography_and_source_county.parquet",
-          "path": "data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source_county.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "5-digit county FIPS code as a string.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
             },
             {
-              "name": "date",
-              "short_name": "Date",
-              "description": "Observation date in YYYY-MM-DD format.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "Data source for the county overdose measure.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "CDC/NCHS": {},
-                "Epic Cosmos": {}
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Overdose measure (county)",
-              "description": "Drug overdose measure at the county level by source (stale/foreign output).",
-              "measure_type": "Rate",
-              "unit": "Rate",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "overdose_by_geography_and_source.parquet",
-          "path": "data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/overdose_by_geography_and_source.parquet",
-          "columns": [
-            {
-              "name": "fips",
-              "short_name": "FIPS code",
-              "description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "date",
-              "short_name": "Date",
-              "description": "Observation date in YYYY-MM-DD format.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "value",
-              "short_name": "Overdose measure",
-              "description": "Drug overdose measure (deaths or scaled indicator) by source (stale/foreign output).",
-              "measure_type": "Rate",
-              "unit": "Rate",
-              "levels": {}
-            },
-            {
-              "name": "nchs_n_deaths_overdose",
-              "short_name": "NCHS overdose deaths",
-              "description": "Number of drug overdose deaths reported by CDC/NCHS.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            },
-            {
-              "name": "suppressed",
-              "short_name": "Suppressed flag",
-              "description": "1 if the value was suppressed (small count), 0 otherwise.",
-              "measure_type": "Binary",
-              "unit": "0/1",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "Data source for the overdose measure.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "CDC/NCHS": {},
-                "CDC/WISQARS": {},
-                "Epic Cosmos": {},
-                "Google Health Trends": {}
-              }
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "time_end",
-              "short_name": "Period end date",
-              "description": "End date of the observation period (YYYY-MM-DD).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "value_scale",
-              "short_name": "Overdose measure (scaled)",
-              "description": "Overdose measure min-max scaled to 0-100 for cross-source visualization.",
-              "measure_type": "Percent",
-              "unit": "0-100",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "overdose_deaths_county.parquet",
-          "path": "data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/overdose_deaths_county.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "5-digit county FIPS code as a string.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Observation date in YYYY-MM-DD format.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "n_deaths_overdose",
-              "short_name": "Overdose deaths (count)",
-              "description": "Number of drug overdose deaths at the county level.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            },
-            {
-              "name": "rate_deaths_overdose",
-              "short_name": "Overdose death rate (county)",
-              "description": "Drug overdose death rate at the county level.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000",
-              "levels": {}
-            },
-            {
-              "name": "suppressed",
-              "short_name": "Suppressed flag",
-              "description": "1 if the count was suppressed (small count), 0 otherwise.",
-              "measure_type": "Binary",
-              "unit": "0/1",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "overdose_deaths_state.parquet",
-          "path": "data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/overdose_deaths_state.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Observation date in YYYY-MM-DD format.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "n_deaths_overdose",
-              "short_name": "Overdose deaths (count)",
-              "description": "Number of drug overdose deaths at the state level.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            },
-            {
-              "name": "rate_deaths_overdose",
-              "short_name": "Overdose death rate (state)",
-              "description": "Drug overdose death rate at the state level.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "prevalence_by_geography_and_source.parquet",
-          "path": "data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_source.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "Chronic condition",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Diabetes": {},
-                "Obesity": {}
-              }
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "CDC BRFSS": {
-                  "source_id": "prev_diabetes_survey"
-                },
-                "Epic Cosmos": {},
-                "Medicare_CMS": {
-                  "source_id": "cms_diabetes"
-                }
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Chronic disease prevalence",
-              "description": "Combined state-level prevalence of diabetes or obesity from BRFSS, Epic Cosmos, and Medicare, most recent year.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "pct_captured",
-              "short_name": "Epic population capture (%)",
-              "description": "For Epic Cosmos rows, percentage of the 2021 population in the Epic panel; NA otherwise.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "sample_size",
-              "short_name": "Sample size",
-              "description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare).",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            },
-            {
-              "name": "value_lcl",
-              "short_name": "Prevalence lower 95% CI",
-              "description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "value_ucl",
-              "short_name": "Prevalence upper 95% CI",
-              "description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "prevalence_by_geography_and_year_and_source.parquet",
-          "path": "data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year of the estimate.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "outcome_name",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Diabetes": {
-                  "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name=Diabetes",
-                  "short_name": "Diabetes",
-                  "long_name": "Diabetes Prevalence",
-                  "category": "chronic_disease",
-                  "short_description": "Estimated prevalence of diabetes among adults.",
-                  "long_description": "Estimated prevalence of diabetes among adults, from BRFSS (self-reported diagnosis), Epic Cosmos (HbA1c >=6.5% or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
-                  "measure_type": "Percent",
-                  "unit": "%",
-                  "time_resolution": "Year",
-                  "sources": [
-                    {
-                      "id": "brfss"
-                    },
-                    {
-                      "id": "epic"
-                    },
-                    {
-                      "id": "cms_mmd"
-                    }
-                  ]
-                },
-                "Obesity": {
-                  "id": "bundle_chronic_diseases/dist/prevalence_by_geography_and_year_and_source.parquet|outcome_name=Obesity",
-                  "short_name": "Obesity",
-                  "long_name": "Obesity Prevalence",
-                  "category": "chronic_disease",
-                  "short_description": "Estimated prevalence of obesity (BMI >=30) among adults.",
-                  "long_description": "Estimated prevalence of obesity among adults, from BRFSS (self-reported height/weight, BMI >=30), Epic Cosmos (measured BMI >=30 or ICD-10 diagnosis codes), and Medicare FFS (CCW algorithm). The source column identifies the data source and clinical definition used.",
-                  "measure_type": "Percent",
-                  "unit": "%",
-                  "time_resolution": "Year",
-                  "sources": [
-                    {
-                      "id": "brfss"
-                    },
-                    {
-                      "id": "epic"
-                    },
-                    {
-                      "id": "cms_mmd"
-                    }
-                  ]
-                }
-              }
-            },
-            {
-              "name": "source",
-              "short_name": "Data source / clinical definition",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "CDC BRFSS": {
-                  "source_id": "prev_diabetes_survey"
-                },
-                "Epic Cosmos: BMI": {
-                  "source_id": "obesity_bmi"
-                },
-                "Epic Cosmos: HbA1c": {
-                  "source_id": "diabetes_a1c_6_5"
-                },
-                "Epic Cosmos: ICD10": {
-                  "source_id": "diabetes_dx_ccw"
-                },
-                "Medicare FFS": {
-                  "source_id": "cms_diabetes"
-                }
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Chronic disease prevalence",
-              "description": "Estimated prevalence of diabetes or obesity by state and year from multiple sources.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "pct_captured",
-              "short_name": "Epic population capture (%)",
-              "description": "For Epic Cosmos rows, the percentage of the 2021 population represented in the Epic patient panel; NA for BRFSS and Medicare rows.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "sample_size",
-              "short_name": "Sample size",
-              "description": "Survey respondents (BRFSS), patient count (Epic), or beneficiary count (Medicare) for the prevalence estimate.",
-              "measure_type": "Count",
-              "unit": "Count",
-              "levels": {}
-            },
-            {
-              "name": "value_lcl",
-              "short_name": "Prevalence lower 95% CI",
-              "description": "Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
-              "measure_type": "Percent",
-              "unit": "%",
+              "name": "value_lcl",
+              "short_name": "Prevalence lower 95% CI",
+              "description": "Lower bound of the 95% confidence interval (BRFSS rows only; NA for Epic and Medicare).",
+              "measure_type": "Percent",
+              "unit": "%",
               "levels": {}
             },
             {
@@ -2362,95 +1791,6 @@
               "levels": {}
             }
           ]
-        },
-        {
-          "filename": "prevalence_by_geography_year_and_source.parquet",
-          "path": "data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_chronic_diseases/dist/prevalence_by_geography_year_and_source.parquet",
-          "columns": [
-            {
-              "name": "fips",
-              "short_name": "FIPS code",
-              "description": "State (2-digit) or county (5-digit) FIPS code as a string; '00' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age group",
-              "description": "Age group for the estimate (e.g. 18-49, 65+ Years, Total).",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "CDC BRFSS": {
-                  "source_id": "prev_diabetes_survey"
-                },
-                "Medicare_CMS": {
-                  "source_id": "cms_diabetes"
-                }
-              }
-            },
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "U.S. state or territory name; 'United States' = national.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "Chronic condition",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Diabetes": {},
-                "Obesity": {}
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Chronic disease prevalence",
-              "description": "Combined BRFSS and Medicare FFS prevalence of diabetes or obesity by state and year.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year of the estimate.",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "value_lcl",
-              "short_name": "Prevalence lower 95% CI",
-              "description": "Lower bound of the 95% confidence interval (BRFSS rows only).",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "value_ucl",
-              "short_name": "Prevalence upper 95% CI",
-              "description": "Upper bound of the 95% confidence interval (BRFSS rows only).",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            }
-          ]
         }
       ]
     },
@@ -2995,77 +2335,6 @@
       "name": "bundle_injury_overdose",
       "display_name": "Bundle: Injury Overdose",
       "dist_files": [
-        {
-          "filename": "brfss_prevalence_by_geography.parquet",
-          "path": "data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/brfss_prevalence_by_geography.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)",
-              "measure_type": "identifier",
-              "unit": "name or FIPS code",
-              "levels": {}
-            },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year",
-              "measure_type": "date",
-              "unit": "year",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age Group",
-              "description": "Age group category",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Source",
-              "description": "Data source identifier for tall-format files",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "Outcome",
-              "description": "Health outcome name (e.g., Diabetes, Obesity)",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "value",
-              "short_name": "BRFSS prevalence",
-              "description": "Self-reported prevalence (%) of the outcome from the CDC BRFSS survey.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "value_lcl",
-              "short_name": "Prevalence lower CI",
-              "description": "Lower bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "value_ucl",
-              "short_name": "Prevalence upper CI",
-              "description": "Upper bound of the 95% confidence interval for the BRFSS prevalence estimate.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            }
-          ]
-        },
         {
           "filename": "county_opioid_by_source.parquet",
           "path": "data/bundle_injury_overdose/dist/county_opioid_by_source.parquet",
@@ -3107,49 +2376,25 @@
                 }
               }
             }
-          ]
-        },
-        {
-          "filename": "deaths_cause_age_demographics.parquet",
-          "path": "data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet",
-          "columns": [
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year",
-              "measure_type": "date",
-              "unit": "year",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age Group",
-              "description": "Age group category",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "sex",
-              "short_name": "Sex",
-              "description": "Sex category (Male, Female, Overall)",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
+          ]
+        },
+        {
+          "filename": "deaths_cause_age.parquet",
+          "path": "data/bundle_injury_overdose/dist/deaths_cause_age.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/deaths_cause_age.parquet",
+          "columns": [
             {
-              "name": "race",
-              "short_name": "Race",
-              "description": "Race category as reported by CDC WISQARS.",
-              "measure_type": "category",
-              "unit": "",
+              "name": "year",
+              "short_name": "Year",
+              "description": "Calendar year",
+              "measure_type": "date",
+              "unit": "year",
               "levels": {}
             },
             {
-              "name": "ethnicity",
-              "short_name": "Ethnicity",
-              "description": "Ethnicity category (e.g., Hispanic, Non-Hispanic) as reported by CDC WISQARS.",
+              "name": "age",
+              "short_name": "Age Group",
+              "description": "Age group category",
               "measure_type": "category",
               "unit": "",
               "levels": {}
@@ -3218,26 +2463,26 @@
             },
             {
               "name": "value",
-              "short_name": "value",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
+              "short_name": "Injury death rate",
+              "description": "Age-adjusted death rate per 100,000 population by injury cause.",
+              "measure_type": "Rate",
+              "unit": "Deaths per 100,000",
               "levels": {}
             },
             {
               "name": "N",
-              "short_name": "N",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
+              "short_name": "Injury death count",
+              "description": "Count of injury deaths by cause of death and age group.",
+              "measure_type": "Count",
+              "unit": "Deaths",
               "levels": {}
             }
           ]
         },
         {
-          "filename": "deaths_cause_age.parquet",
-          "path": "data/bundle_injury_overdose/dist/deaths_cause_age.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/deaths_cause_age.parquet",
+          "filename": "deaths_cause_age_demographics.parquet",
+          "path": "data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/deaths_cause_age_demographics.parquet",
           "columns": [
             {
               "name": "year",
@@ -3255,6 +2500,30 @@
               "unit": "",
               "levels": {}
             },
+            {
+              "name": "sex",
+              "short_name": "Sex",
+              "description": "Sex category (Male, Female, Overall)",
+              "measure_type": "category",
+              "unit": "",
+              "levels": {}
+            },
+            {
+              "name": "race",
+              "short_name": "Race",
+              "description": "Race category as reported by CDC WISQARS.",
+              "measure_type": "category",
+              "unit": "",
+              "levels": {}
+            },
+            {
+              "name": "ethnicity",
+              "short_name": "Ethnicity",
+              "description": "Ethnicity category (e.g., Hispanic, Non-Hispanic) as reported by CDC WISQARS.",
+              "measure_type": "category",
+              "unit": "",
+              "levels": {}
+            },
             {
               "name": "geography",
               "short_name": "Geography",
@@ -3319,98 +2588,19 @@
             },
             {
               "name": "value",
-              "short_name": "Injury death rate",
-              "description": "Age-adjusted death rate per 100,000 population by injury cause.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000",
-              "levels": {}
-            },
-            {
-              "name": "N",
-              "short_name": "Injury death count",
-              "description": "Count of injury deaths by cause of death and age group.",
-              "measure_type": "Count",
-              "unit": "Deaths",
-              "levels": {}
-            }
-          ]
-        },
-        {
-          "filename": "epic_prevalence_by_geography_year.parquet",
-          "path": "data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/epic_prevalence_by_geography_year.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)",
-              "measure_type": "identifier",
-              "unit": "name or FIPS code",
-              "levels": {}
-            },
-            {
-              "name": "fips",
-              "short_name": "FIPS Code",
-              "description": "FIPS geographic identifier",
-              "measure_type": "identifier",
-              "unit": "FIPS code",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age Group",
-              "description": "Age group category",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year",
-              "measure_type": "date",
-              "unit": "year",
-              "levels": {}
-            },
-            {
-              "name": "outcome_name",
-              "short_name": "Outcome",
-              "description": "Health outcome name (e.g., Diabetes, Obesity)",
-              "measure_type": "category",
+              "short_name": "value",
+              "description": "",
+              "measure_type": "",
               "unit": "",
               "levels": {}
             },
             {
-              "name": "source",
-              "short_name": "Source",
-              "description": "Data source identifier for tall-format files",
-              "measure_type": "category",
+              "name": "N",
+              "short_name": "N",
+              "description": "",
+              "measure_type": "",
               "unit": "",
               "levels": {}
-            },
-            {
-              "name": "value",
-              "short_name": "Epic prevalence",
-              "description": "Prevalence of the outcome among Epic Cosmos patients, by geography, age, and year.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "pct_captured",
-              "short_name": "Percent captured",
-              "description": "Percentage of the population represented in the Epic Cosmos denominator for this geography.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
-            },
-            {
-              "name": "sample_size",
-              "short_name": "Sample size",
-              "description": "Number of patients in the Epic Cosmos denominator for this geography, age, and year.",
-              "measure_type": "Count",
-              "unit": "Patients",
-              "levels": {}
             }
           ]
         },
@@ -3799,71 +2989,6 @@
             }
           ]
         },
-        {
-          "filename": "heat_related_geography_source.parquet",
-          "path": "data/bundle_injury_overdose/dist/heat_related_geography_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/heat_related_geography_source.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)",
-              "measure_type": "identifier",
-              "unit": "name or FIPS code",
-              "levels": {}
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "Data source",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "Google Health Trends: Heat Stroke": {
-                  "source_id": "gtrends_heat+stroke"
-                },
-                "Google Health Trends: Heat Exhaustion": {
-                  "source_id": "gtrends_heat+exhaustion"
-                },
-                "Epic Cosmos": {
-                  "source_id": "epic_rate_ed_heat"
-                }
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "value",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "age",
-              "short_name": "Age Group",
-              "description": "Age group category",
-              "measure_type": "category",
-              "unit": "",
-              "levels": {}
-            },
-            {
-              "name": "suppressed_heat",
-              "short_name": "Heat value suppressed flag",
-              "description": "1 if the Epic Cosmos heat-related ED value was suppressed (small count) and imputed, 0 otherwise.",
-              "measure_type": "Binary",
-              "unit": "Binary indicator",
-              "levels": {}
-            }
-          ]
-        },
         {
           "filename": "heat_risk.parquet",
           "path": "data/bundle_injury_overdose/dist/heat_risk.parquet",
@@ -4053,9 +3178,9 @@
           ]
         },
         {
-          "filename": "overdose_by_geography_and_source_county.parquet",
-          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet",
+          "filename": "overdose_by_geography_and_source.parquet",
+          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet",
           "columns": [
             {
               "name": "geography",
@@ -4065,14 +3190,6 @@
               "unit": "name or FIPS code",
               "levels": {}
             },
-            {
-              "name": "geography_fips",
-              "short_name": "County FIPS code",
-              "description": "5-digit county FIPS code accompanying the county name in the geography column.",
-              "measure_type": "identifier",
-              "unit": "FIPS code",
-              "levels": {}
-            },
             {
               "name": "date",
               "short_name": "Date",
@@ -4115,18 +3232,34 @@
             },
             {
               "name": "value",
-              "short_name": "value",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
+              "short_name": "Overdose measure",
+              "description": "Overdose-related surveillance measure; units and definition depend on the source (see source column).",
+              "measure_type": "Mixed (rate or probability, depending on source)",
+              "unit": "Varies by source",
+              "levels": {}
+            },
+            {
+              "name": "value_scale",
+              "short_name": "Overdose measure (scaled 0-1)",
+              "description": "Value rescaled to 0-1 relative to the geography and source maximum.",
+              "measure_type": "Scaled",
+              "unit": "0-1",
+              "levels": {}
+            },
+            {
+              "name": "suppressed",
+              "short_name": "Value suppressed flag",
+              "description": "1 if the underlying source value was suppressed (small count) and imputed, 0 otherwise.",
+              "measure_type": "Binary",
+              "unit": "Binary indicator",
               "levels": {}
             }
           ]
         },
         {
-          "filename": "overdose_by_geography_and_source_state_year.parquet",
-          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_state_year.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source_state_year.parquet",
+          "filename": "overdose_by_geography_and_source_county.parquet",
+          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source_county.parquet",
           "columns": [
             {
               "name": "geography",
@@ -4136,6 +3269,22 @@
               "unit": "name or FIPS code",
               "levels": {}
             },
+            {
+              "name": "geography_fips",
+              "short_name": "County FIPS code",
+              "description": "5-digit county FIPS code accompanying the county name in the geography column.",
+              "measure_type": "identifier",
+              "unit": "FIPS code",
+              "levels": {}
+            },
+            {
+              "name": "date",
+              "short_name": "Date",
+              "description": "Date (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date",
+              "levels": {}
+            },
             {
               "name": "age",
               "short_name": "Age Group",
@@ -4144,14 +3293,6 @@
               "unit": "",
               "levels": {}
             },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year",
-              "measure_type": "date",
-              "unit": "year",
-              "levels": {}
-            },
             {
               "name": "source",
               "short_name": "Data source",
@@ -4187,9 +3328,9 @@
           ]
         },
         {
-          "filename": "overdose_by_geography_and_source.parquet",
-          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source.parquet",
+          "filename": "overdose_by_geography_and_source_state_year.parquet",
+          "path": "data/bundle_injury_overdose/dist/overdose_by_geography_and_source_state_year.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_injury_overdose/dist/overdose_by_geography_and_source_state_year.parquet",
           "columns": [
             {
               "name": "geography",
@@ -4199,14 +3340,6 @@
               "unit": "name or FIPS code",
               "levels": {}
             },
-            {
-              "name": "date",
-              "short_name": "Date",
-              "description": "Date (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date",
-              "levels": {}
-            },
             {
               "name": "age",
               "short_name": "Age Group",
@@ -4215,6 +3348,14 @@
               "unit": "",
               "levels": {}
             },
+            {
+              "name": "year",
+              "short_name": "Year",
+              "description": "Calendar year",
+              "measure_type": "date",
+              "unit": "year",
+              "levels": {}
+            },
             {
               "name": "source",
               "short_name": "Data source",
@@ -4241,26 +3382,10 @@
             },
             {
               "name": "value",
-              "short_name": "Overdose measure",
-              "description": "Overdose-related surveillance measure; units and definition depend on the source (see source column).",
-              "measure_type": "Mixed (rate or probability, depending on source)",
-              "unit": "Varies by source",
-              "levels": {}
-            },
-            {
-              "name": "value_scale",
-              "short_name": "Overdose measure (scaled 0-1)",
-              "description": "Value rescaled to 0-1 relative to the geography and source maximum.",
-              "measure_type": "Scaled",
-              "unit": "0-1",
-              "levels": {}
-            },
-            {
-              "name": "suppressed",
-              "short_name": "Value suppressed flag",
-              "description": "1 if the underlying source value was suppressed (small count) and imputed, 0 otherwise.",
-              "measure_type": "Binary",
-              "unit": "Binary indicator",
+              "short_name": "value",
+              "description": "",
+              "measure_type": "",
+              "unit": "",
               "levels": {}
             }
           ]
@@ -5097,76 +4222,6 @@
             }
           ]
         },
-        {
-          "filename": "measles_imported_indigenous.parquet",
-          "path": "data/bundle_measles/dist/measles_imported_indigenous.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_measles/dist/measles_imported_indigenous.parquet",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "Geographic area name (state or country name for state/national files; 5-digit FIPS code for county-level files)",
-              "measure_type": "identifier",
-              "unit": "name or FIPS code",
-              "levels": {}
-            },
-            {
-              "name": "date",
-              "short_name": "Date",
-              "description": "Date (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date",
-              "levels": {}
-            },
-            {
-              "name": "year",
-              "short_name": "Year",
-              "description": "Calendar year",
-              "measure_type": "date",
-              "unit": "year",
-              "levels": {}
-            },
-            {
-              "name": "week",
-              "short_name": "ISO Week",
-              "description": "ISO week number within the year",
-              "measure_type": "integer",
-              "unit": "week number",
-              "levels": {}
-            },
-            {
-              "name": "source",
-              "short_name": "source",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {
-                "measles_imported": {
-                  "source_id": "measles_imported"
-                },
-                "measles_indigenous": {
-                  "source_id": "measles_indigenous"
-                }
-              }
-            },
-            {
-              "name": "value",
-              "short_name": "Measles cases by importation status",
-              "description": "Cumulative year-to-date count of measles cases classified as imported or indigenous, by state or nationally.",
-              "measure_type": "Cumulative Count",
-              "unit": "Cumulative cases",
-              "levels": {}
-            },
-            {
-              "name": "new_value",
-              "short_name": "new_value",
-              "description": "",
-              "measure_type": "",
-              "unit": "",
-              "levels": {}
-            }
-          ]
-        },
         {
           "filename": "measles_state.parquet",
           "path": "data/bundle_measles/dist/measles_state.parquet",
@@ -6182,9 +5237,9 @@
           ]
         },
         {
-          "filename": "pneumococcus_by_geography_year.parquet",
-          "path": "data/bundle_respiratory/dist/pneumococcus_by_geography_year.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_respiratory/dist/pneumococcus_by_geography_year.parquet",
+          "filename": "pneumococcus_by_geography.parquet",
+          "path": "data/bundle_respiratory/dist/pneumococcus_by_geography.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_respiratory/dist/pneumococcus_by_geography.parquet",
           "columns": [
             {
               "name": "serotype",
@@ -6225,21 +5280,13 @@
               "measure_type": "",
               "unit": "",
               "levels": {}
-            },
-            {
-              "name": "value_smooth",
-              "short_name": "Pneumococcal IPD % (3-year smoothed)",
-              "description": "3-year rolling average of the percent of IPD cases caused by each pneumococcal serotype.",
-              "measure_type": "Percent",
-              "unit": "%",
-              "levels": {}
             }
           ]
         },
         {
-          "filename": "pneumococcus_by_geography.parquet",
-          "path": "data/bundle_respiratory/dist/pneumococcus_by_geography.parquet",
-          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_respiratory/dist/pneumococcus_by_geography.parquet",
+          "filename": "pneumococcus_by_geography_year.parquet",
+          "path": "data/bundle_respiratory/dist/pneumococcus_by_geography_year.parquet",
+          "url": "https://raw.githubusercontent.com/PopHIVE/Ingest/main/data/bundle_respiratory/dist/pneumococcus_by_geography_year.parquet",
           "columns": [
             {
               "name": "serotype",
@@ -6280,6 +5327,14 @@
               "measure_type": "",
               "unit": "",
               "levels": {}
+            },
+            {
+              "name": "value_smooth",
+              "short_name": "Pneumococcal IPD % (3-year smoothed)",
+              "description": "3-year rolling average of the percent of IPD cases caused by each pneumococcal serotype.",
+              "measure_type": "Percent",
+              "unit": "%",
+              "levels": {}
             }
           ]
         },
@@ -10332,142 +9387,53 @@
               "name": "beam_outbreak_isolates_vibrio",
               "short_name": "Vibrio",
               "description": "Monthly count of Vibrio isolates linked to a recognized outbreak.",
-              "measure_type": "Count",
-              "unit": "Number of isolates"
-            },
-            {
-              "name": "beam_isolates_rate_campylobacter",
-              "short_name": "Campylobacter",
-              "description": "Monthly Campylobacter isolates per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Isolates per 100,000 population"
-            },
-            {
-              "name": "beam_isolates_rate_salmonella",
-              "short_name": "Salmonella",
-              "description": "Monthly Salmonella isolates per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Isolates per 100,000 population"
-            },
-            {
-              "name": "beam_isolates_rate_shigella",
-              "short_name": "Shigella",
-              "description": "Monthly Shigella isolates per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Isolates per 100,000 population"
-            },
-            {
-              "name": "beam_isolates_rate_stec",
-              "short_name": "Shiga toxin-producing E. coli (STEC)",
-              "description": "Monthly Shiga toxin-producing E. coli (STEC) isolates per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Isolates per 100,000 population"
-            },
-            {
-              "name": "beam_isolates_rate_vibrio",
-              "short_name": "Vibrio",
-              "description": "Monthly Vibrio isolates per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Isolates per 100,000 population"
-            }
-          ]
-        }
-      ]
-    },
-    "brfss": {
-      "name": "brfss",
-      "display_name": "BRFSS",
-      "description": "The Behavioral Risk Factor Surveillance System (BRFSS) is the nation's premier system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. Established in 1984 with 15 states, BRFSS now collects data in all 50 states, the District of Columbia, and three U.S. territories, completing more than 400,000 adult interviews each year. BRFSS provides state-specific data on health conditions including obesity, diabetes, depression, and health behaviors such as heavy drinking, physical activity, and tobacco use. Data are available by age, sex, race/ethnicity, and education level. BRFSS is a critical resource for public health surveillance and policy-making at both state and national levels.",
-      "standard_files": [
-        {
-          "filename": "data_survey.csv.gz",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
-            },
-            {
-              "name": "age",
-              "short_name": "Age",
-              "description": "Age group.",
-              "measure_type": "integer",
-              "unit": "years"
-            },
-            {
-              "name": "prev_diabetes_survey",
-              "short_name": "Diabetes Prevalence (Survey)",
-              "description": "Estimated diabetes prevalence from BRFSS survey data.",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "prev_diabetes_survey_lcl",
-              "short_name": "Diabetes Prevalence Lower CI",
-              "description": "Lower bound of 95% confidence interval for diabetes prevalence.",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "prev_diabetes_survey_ucl",
-              "short_name": "Diabetes Prevalence Upper CI",
-              "description": "Upper bound of 95% confidence interval for diabetes prevalence.",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "prev_obesity_survey",
-              "short_name": "Obesity Prevalence (Survey)",
-              "description": "Estimated obesity prevalence (BMI >= 30) from BRFSS survey data.",
-              "measure_type": "percent",
-              "unit": "percent"
+              "measure_type": "Count",
+              "unit": "Number of isolates"
             },
             {
-              "name": "prev_obesity_survey_lcl",
-              "short_name": "Obesity Prevalence Lower CI",
-              "description": "Lower bound of 95% confidence interval for obesity prevalence.",
-              "measure_type": "percent",
-              "unit": "percent"
+              "name": "beam_isolates_rate_campylobacter",
+              "short_name": "Campylobacter",
+              "description": "Monthly Campylobacter isolates per 100,000 population.",
+              "measure_type": "Rate",
+              "unit": "Isolates per 100,000 population"
             },
             {
-              "name": "prev_obesity_survey_ucl",
-              "short_name": "Obesity Prevalence Upper CI",
-              "description": "Upper bound of 95% confidence interval for obesity prevalence.",
-              "measure_type": "percent",
-              "unit": "percent"
+              "name": "beam_isolates_rate_salmonella",
+              "short_name": "Salmonella",
+              "description": "Monthly Salmonella isolates per 100,000 population.",
+              "measure_type": "Rate",
+              "unit": "Isolates per 100,000 population"
             },
             {
-              "name": "agec",
-              "short_name": "Age Category",
-              "description": "Categorical age grouping used in survey analysis.",
-              "measure_type": "categorical",
-              "unit": "category"
+              "name": "beam_isolates_rate_shigella",
+              "short_name": "Shigella",
+              "description": "Monthly Shigella isolates per 100,000 population.",
+              "measure_type": "Rate",
+              "unit": "Isolates per 100,000 population"
             },
             {
-              "name": "sample_size_diab",
-              "short_name": "Sample Size (Diabetes)",
-              "description": "Number of survey respondents used to estimate diabetes prevalence.",
-              "measure_type": "integer",
-              "unit": "count"
+              "name": "beam_isolates_rate_stec",
+              "short_name": "Shiga toxin-producing E. coli (STEC)",
+              "description": "Monthly Shiga toxin-producing E. coli (STEC) isolates per 100,000 population.",
+              "measure_type": "Rate",
+              "unit": "Isolates per 100,000 population"
             },
             {
-              "name": "sample_size_obesity",
-              "short_name": "Sample Size (Obesity)",
-              "description": "Number of survey respondents used to estimate obesity prevalence.",
-              "measure_type": "integer",
-              "unit": "count"
+              "name": "beam_isolates_rate_vibrio",
+              "short_name": "Vibrio",
+              "description": "Monthly Vibrio isolates per 100,000 population.",
+              "measure_type": "Rate",
+              "unit": "Isolates per 100,000 population"
             }
           ]
-        },
+        }
+      ]
+    },
+    "brfss": {
+      "name": "brfss",
+      "display_name": "BRFSS",
+      "description": "The Behavioral Risk Factor Surveillance System (BRFSS) is the nation's premier system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. Established in 1984 with 15 states, BRFSS now collects data in all 50 states, the District of Columbia, and three U.S. territories, completing more than 400,000 adult interviews each year. BRFSS provides state-specific data on health conditions including obesity, diabetes, depression, and health behaviors such as heavy drinking, physical activity, and tobacco use. Data are available by age, sex, race/ethnicity, and education level. BRFSS is a critical resource for public health surveillance and policy-making at both state and national levels.",
+      "standard_files": [
         {
           "filename": "data.csv.gz",
           "columns": [
@@ -10605,6 +9571,95 @@
               "unit": "percent"
             }
           ]
+        },
+        {
+          "filename": "data_survey.csv.gz",
+          "columns": [
+            {
+              "name": "geography",
+              "short_name": "Geography",
+              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
+              "measure_type": "identifier",
+              "unit": "FIPS code"
+            },
+            {
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
+            },
+            {
+              "name": "age",
+              "short_name": "Age",
+              "description": "Age group.",
+              "measure_type": "integer",
+              "unit": "years"
+            },
+            {
+              "name": "prev_diabetes_survey",
+              "short_name": "Diabetes Prevalence (Survey)",
+              "description": "Estimated diabetes prevalence from BRFSS survey data.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "prev_diabetes_survey_lcl",
+              "short_name": "Diabetes Prevalence Lower CI",
+              "description": "Lower bound of 95% confidence interval for diabetes prevalence.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "prev_diabetes_survey_ucl",
+              "short_name": "Diabetes Prevalence Upper CI",
+              "description": "Upper bound of 95% confidence interval for diabetes prevalence.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "prev_obesity_survey",
+              "short_name": "Obesity Prevalence (Survey)",
+              "description": "Estimated obesity prevalence (BMI >= 30) from BRFSS survey data.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "prev_obesity_survey_lcl",
+              "short_name": "Obesity Prevalence Lower CI",
+              "description": "Lower bound of 95% confidence interval for obesity prevalence.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "prev_obesity_survey_ucl",
+              "short_name": "Obesity Prevalence Upper CI",
+              "description": "Upper bound of 95% confidence interval for obesity prevalence.",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "agec",
+              "short_name": "Age Category",
+              "description": "Categorical age grouping used in survey analysis.",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "sample_size_diab",
+              "short_name": "Sample Size (Diabetes)",
+              "description": "Number of survey respondents used to estimate diabetes prevalence.",
+              "measure_type": "integer",
+              "unit": "count"
+            },
+            {
+              "name": "sample_size_obesity",
+              "short_name": "Sample Size (Obesity)",
+              "description": "Number of survey respondents used to estimate obesity prevalence.",
+              "measure_type": "integer",
+              "unit": "count"
+            }
+          ]
         }
       ]
     },
@@ -13407,7 +12462,7 @@
       "description": "The Mapping Medicare Disparities (MMD) by Population Tool is an interactive map that displays chronic disease prevalence, costs, hospitalization, and preventive care utilization data for Medicare Fee-for-Service beneficiaries. Data are available at the national, state, and county levels, stratified by age, race/ethnicity, and sex. Condition prevalence rates are calculated using ICD-10 diagnosis codes in Medicare claims data, following the Chronic Conditions Warehouse (CCW) definitions. The tool covers over 30 chronic conditions including diabetes, hypertension, COPD, heart failure, and mental health conditions, as well as preventive service utilization metrics. Data are updated annually.",
       "standard_files": [
         {
-          "filename": "data_state_county_age_by_race.csv.gz",
+          "filename": "data_state_county_age.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -13769,7 +12824,7 @@
           ]
         },
         {
-          "filename": "data_state_county_age_by_sex.csv.gz",
+          "filename": "data_state_county_age_by_race.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -14131,7 +13186,7 @@
           ]
         },
         {
-          "filename": "data_state_county_age.csv.gz",
+          "filename": "data_state_county_age_by_sex.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18280,7 +17335,7 @@
       "description": "Google Health Trends data accessed via the Google Health Trends API, processed and collected using Yale DISSC's gtrends_collection framework. The data represents the probability of a short search session including a specific health-related term within a geography and timeframe, multiplied by 10 million for readability. Search volumes are provided at the DMA (Designated Market Area) and state level on a weekly basis. This data source enables tracking of public interest in health topics such as RSV, overdose, and naloxone as potential early indicators of disease activity or public health concerns.",
       "standard_files": [
         {
-          "filename": "data_dma_year.csv.gz",
+          "filename": "data.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18297,65 +17352,65 @@
               "unit": "date"
             },
             {
-              "name": "gtrends_drug+overdose",
-              "short_name": "Google Search Volume: Drug Overdose",
-              "description": "Google search volume for the term drug overdose.",
+              "name": "gtrends_rsv_vaccine",
+              "short_name": "Google Search Volume: rsv_vaccine",
+              "description": "Google search volume of the term rsv_vaccine.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_naloxone",
-              "short_name": "Google Search Volume: naloxone",
-              "description": "Google search volume of the term naloxone.",
+              "name": "gtrends_9mm",
+              "short_name": "Google Search Volume: 9mm",
+              "description": "Google search volume for the term 9mm.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_narcan",
-              "short_name": "Google Search Volume: narcan",
-              "description": "Google search volume of the term narcan.",
+              "name": "gtrends_naloxone",
+              "short_name": "Google Search Volume: naloxone",
+              "description": "Google search volume of the term naloxone.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_overdose",
-              "short_name": "Google Search Volume: overdose",
-              "description": "Google search volume of the term overdose.",
+              "name": "gtrends_drug+overdose",
+              "short_name": "Google Search Volume: Drug Overdose",
+              "description": "Google search volume for the term drug overdose.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_rsv_vaccine",
-              "short_name": "Google Search Volume: rsv_vaccine",
-              "description": "Google search volume of the term rsv_vaccine.",
+              "name": "gtrends_heat+exhaustion",
+              "short_name": "Google Search Volume: Heat Exhaustion",
+              "description": "Google search volume for the term heat exhaustion.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_rsv",
-              "short_name": "Google Search Volume: rsv",
-              "description": "Google search volume of the term rsv.",
+              "name": "gtrends_heat+stroke",
+              "short_name": "Google Search Volume: Heat Stroke",
+              "description": "Google search volume for the term heat stroke.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_heat+exhaustion",
-              "short_name": "Google Search Volume: Heat Exhaustion",
-              "description": "Google search volume for the term heat exhaustion.",
+              "name": "gtrends_narcan",
+              "short_name": "Google Search Volume: narcan",
+              "description": "Google search volume of the term narcan.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_heat+stroke",
-              "short_name": "Google Search Volume: Heat Stroke",
-              "description": "Google search volume for the term heat stroke.",
+              "name": "gtrends_overdose",
+              "short_name": "Google Search Volume: overdose",
+              "description": "Google search volume of the term overdose.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_9mm",
-              "short_name": "Google Search Volume: 9mm",
-              "description": "Google search volume for the term 9mm.",
+              "name": "gtrends_rsv",
+              "short_name": "Google Search Volume: rsv",
+              "description": "Google search volume of the term rsv.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
@@ -18365,6 +17420,13 @@
               "description": "Google search volume for the term shotgun.",
               "measure_type": "probability",
               "unit": "probability * 10M"
+            },
+            {
+              "name": "gtrends_rsv_adjusted",
+              "short_name": "Google Search Volume: rsv_adjusted",
+              "description": "Google search volume of the term rsv_adjusted.",
+              "measure_type": "probability",
+              "unit": "probability * 10M"
             }
           ]
         },
@@ -18458,7 +17520,7 @@
           ]
         },
         {
-          "filename": "data_year.csv.gz",
+          "filename": "data_dma_year.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18475,30 +17537,44 @@
               "unit": "date"
             },
             {
-              "name": "gtrends_rsv_vaccine",
-              "short_name": "Google Search Volume: rsv_vaccine",
-              "description": "Google search volume of the term rsv_vaccine.",
+              "name": "gtrends_drug+overdose",
+              "short_name": "Google Search Volume: Drug Overdose",
+              "description": "Google search volume for the term drug overdose.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_9mm",
-              "short_name": "Google Search Volume: 9mm",
-              "description": "Google search volume for the term 9mm.",
+              "name": "gtrends_naloxone",
+              "short_name": "Google Search Volume: naloxone",
+              "description": "Google search volume of the term naloxone.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_naloxone",
-              "short_name": "Google Search Volume: naloxone",
-              "description": "Google search volume of the term naloxone.",
+              "name": "gtrends_narcan",
+              "short_name": "Google Search Volume: narcan",
+              "description": "Google search volume of the term narcan.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_drug+overdose",
-              "short_name": "Google Search Volume: Drug Overdose",
-              "description": "Google search volume for the term drug overdose.",
+              "name": "gtrends_overdose",
+              "short_name": "Google Search Volume: overdose",
+              "description": "Google search volume of the term overdose.",
+              "measure_type": "probability",
+              "unit": "probability * 10M"
+            },
+            {
+              "name": "gtrends_rsv_vaccine",
+              "short_name": "Google Search Volume: rsv_vaccine",
+              "description": "Google search volume of the term rsv_vaccine.",
+              "measure_type": "probability",
+              "unit": "probability * 10M"
+            },
+            {
+              "name": "gtrends_rsv",
+              "short_name": "Google Search Volume: rsv",
+              "description": "Google search volume of the term rsv.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
@@ -18517,23 +17593,9 @@
               "unit": "probability * 10M"
             },
             {
-              "name": "gtrends_narcan",
-              "short_name": "Google Search Volume: narcan",
-              "description": "Google search volume of the term narcan.",
-              "measure_type": "probability",
-              "unit": "probability * 10M"
-            },
-            {
-              "name": "gtrends_overdose",
-              "short_name": "Google Search Volume: overdose",
-              "description": "Google search volume of the term overdose.",
-              "measure_type": "probability",
-              "unit": "probability * 10M"
-            },
-            {
-              "name": "gtrends_rsv",
-              "short_name": "Google Search Volume: rsv",
-              "description": "Google search volume of the term rsv.",
+              "name": "gtrends_9mm",
+              "short_name": "Google Search Volume: 9mm",
+              "description": "Google search volume for the term 9mm.",
               "measure_type": "probability",
               "unit": "probability * 10M"
             },
@@ -18543,18 +17605,11 @@
               "description": "Google search volume for the term shotgun.",
               "measure_type": "probability",
               "unit": "probability * 10M"
-            },
-            {
-              "name": "gtrends_rsv_adjusted",
-              "short_name": "Google Search Volume: rsv_adjusted",
-              "description": "Google search volume of the term rsv_adjusted.",
-              "measure_type": "probability",
-              "unit": "probability * 10M"
             }
           ]
         },
         {
-          "filename": "data.csv.gz",
+          "filename": "data_year.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18798,7 +17853,7 @@
       "description": "The Johns Hopkins University Measles Tracking Team compiles laboratory-confirmed measles case data from official state and county health department reports across the United States. The team aggregates data from 37+ jurisdictions, providing both state-level weekly summaries (using rash onset dates when available) and county-level daily case counts (based on official reporting dates). Data is updated on Tuesdays and Fridays at approximately 5:00 PM Eastern Time. The tracking effort was established in response to the 2025 measles outbreak to provide timely, granular geographic data on measles transmission. All data is released under CC BY 4.0 license with attribution required.",
       "standard_files": [
         {
-          "filename": "data_county.csv.gz",
+          "filename": "data.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18824,7 +17879,7 @@
           ]
         },
         {
-          "filename": "data_state.csv.gz",
+          "filename": "data_county.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -18850,7 +17905,7 @@
           ]
         },
         {
-          "filename": "data.csv.gz",
+          "filename": "data_state.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -21766,311 +20821,105 @@
               "unit": "Cases per 1,000,000"
             },
             {
-              "name": "nccr_germ_cell_tumors_non_malignant_ucl",
-              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
-              "description": "Upper bound of the 95% confidence interval for the incidence rate of X. Germ Cell Tumors (Non-Malignant).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_germ_cell_tumors_non_malignant_suppressed",
-              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
-              "description": "Indicates whether the X. Germ Cell Tumors (Non-Malignant) incidence rate was suppressed (reported as 0 with no confidence interval).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_germ_cell_tumors_non_malignant_not_collected",
-              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
-              "description": "Indicates whether the X. Germ Cell Tumors (Non-Malignant) incidence rate was absent from the API response.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_epithelial_neoplasms_and_melanomas",
-              "short_name": "XI. Epithelial Neoplasms And Melanomas",
-              "description": "Age-adjusted incidence rate of XI. Epithelial Neoplasms And Melanomas among children, adolescents, and young adults (ages 0-39).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_epithelial_neoplasms_and_melanomas_lcl",
-              "short_name": "XI. Epithelial Neoplasms And Melanomas",
-              "description": "Lower bound of the 95% confidence interval for the incidence rate of XI. Epithelial Neoplasms And Melanomas.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_epithelial_neoplasms_and_melanomas_ucl",
-              "short_name": "XI. Epithelial Neoplasms And Melanomas",
-              "description": "Upper bound of the 95% confidence interval for the incidence rate of XI. Epithelial Neoplasms And Melanomas.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_epithelial_neoplasms_and_melanomas_suppressed",
-              "short_name": "XI. Epithelial Neoplasms And Melanomas",
-              "description": "Indicates whether the XI. Epithelial Neoplasms And Melanomas incidence rate was suppressed (reported as 0 with no confidence interval).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_epithelial_neoplasms_and_melanomas_not_collected",
-              "short_name": "XI. Epithelial Neoplasms And Melanomas",
-              "description": "Indicates whether the XI. Epithelial Neoplasms And Melanomas incidence rate was absent from the API response.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_neoplasms_other_and_nos",
-              "short_name": "XII. Other/ Unspecified Neoplasms",
-              "description": "Age-adjusted incidence rate of XII. Other/ Unspecified Neoplasms among children, adolescents, and young adults (ages 0-39).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_neoplasms_other_and_nos_lcl",
-              "short_name": "XII. Other/ Unspecified Neoplasms",
-              "description": "Lower bound of the 95% confidence interval for the incidence rate of XII. Other/ Unspecified Neoplasms.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_neoplasms_other_and_nos_ucl",
-              "short_name": "XII. Other/ Unspecified Neoplasms",
-              "description": "Upper bound of the 95% confidence interval for the incidence rate of XII. Other/ Unspecified Neoplasms.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_neoplasms_other_and_nos_suppressed",
-              "short_name": "XII. Other/ Unspecified Neoplasms",
-              "description": "Indicates whether the XII. Other/ Unspecified Neoplasms incidence rate was suppressed (reported as 0 with no confidence interval).",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            },
-            {
-              "name": "nccr_neoplasms_other_and_nos_not_collected",
-              "short_name": "XII. Other/ Unspecified Neoplasms",
-              "description": "Indicates whether the XII. Other/ Unspecified Neoplasms incidence rate was absent from the API response.",
-              "measure_type": "Incidence",
-              "unit": "Cases per 1,000,000"
-            }
-          ]
-        }
-      ]
-    },
-    "nchs_mortality": {
-      "name": "nchs_mortality",
-      "display_name": "NCHS Mortality",
-      "description": "The National Center for Health Statistics (NCHS) houses the the Vital Statistics Rapid Release (VSRR) program. The program reports monthly deaths from drug overdose at the state level and quarterly deaths from drug overdose at the county level, as well as quarterly age-adjusted mortality rates for 21 selected causes of death at the state level.  Rates are expressed as per 100,000 people. Counts of 1–9 deaths are suppressed to protect privacy and imputed as 5; the suppressed_flag column identifies these records. Data from the VSSR program and are provisional, meaning they are subject to revision as more death certificates are received and processed. New York City and New York State are combined.",
-      "standard_files": [
-        {
-          "filename": "data_county.csv.gz",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
-            },
-            {
-              "name": "n_deaths_overdose",
-              "short_name": "Drug overdose deaths",
-              "description": "Provisional count of drug overdose deaths. State-level data are 12-month rolling totals; county-level data are monthly.",
-              "measure_type": "Count",
-              "unit": "Deaths"
-            },
-            {
-              "name": "suppressed",
-              "short_name": "Drug overdose suppression flag",
-              "description": "Indicates whether the county drug overdose death count was suppressed by NCHS. Due to privacy protections, counts fewer than 10 are suppressed and imputed to be 5.",
-              "measure_type": "Binary",
-              "unit": "Binary indicator"
-            },
-            {
-              "name": "pct_pending_invest",
-              "short_name": "Percent pending investigation",
-              "description": "Percentage of death records still pending investigation for the reporting period.",
-              "measure_type": "Percent",
-              "unit": "Percent"
-            }
-          ]
-        },
-        {
-          "filename": "data_state_21_causes.csv.gz",
-          "columns": [
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
-            },
-            {
-              "name": "rate_all_causes",
-              "short_name": "All-cause mortality rate",
-              "description": "Quarterly age-adjusted death rate from all causes per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_alzheimer_disease",
-              "short_name": "Alzheimer's mortality rate",
-              "description": "Quarterly age-adjusted death rate from Alzheimer's disease per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_covid_19",
-              "short_name": "COVID-19 mortality rate",
-              "description": "Quarterly age-adjusted death rate from COVID-19 per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_cancer",
-              "short_name": "Cancer mortality rate",
-              "description": "Quarterly age-adjusted death rate from cancer per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_chronic_liver_disease_and_cirrhosis",
-              "short_name": "Liver disease mortality rate",
-              "description": "Quarterly age-adjusted death rate from chronic liver disease and cirrhosis per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_chronic_lower_respiratory_diseases",
-              "short_name": "CLRD mortality rate",
-              "description": "Quarterly age-adjusted death rate from chronic lower respiratory diseases per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_diabetes",
-              "short_name": "Diabetes mortality rate",
-              "description": "Quarterly age-adjusted death rate from diabetes per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_drug_overdose",
-              "short_name": "Drug overdose mortality rate",
-              "description": "Quarterly age-adjusted death rate from drug overdose per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
-            },
-            {
-              "name": "rate_falls_ages_65_and_over",
-              "short_name": "Falls mortality rate (65+)",
-              "description": "Quarterly age-adjusted death rate from falls among adults 65 and over per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_germ_cell_tumors_non_malignant_ucl",
+              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
+              "description": "Upper bound of the 95% confidence interval for the incidence rate of X. Germ Cell Tumors (Non-Malignant).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_firearm_related_injury",
-              "short_name": "Firearm injury mortality rate",
-              "description": "Quarterly age-adjusted death rate from firearm-related injuries per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_germ_cell_tumors_non_malignant_suppressed",
+              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
+              "description": "Indicates whether the X. Germ Cell Tumors (Non-Malignant) incidence rate was suppressed (reported as 0 with no confidence interval).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_heart_disease",
-              "short_name": "Heart disease mortality rate",
-              "description": "Quarterly age-adjusted death rate from heart disease per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_germ_cell_tumors_non_malignant_not_collected",
+              "short_name": "X. Germ Cell Tumors (Non-Malignant)",
+              "description": "Indicates whether the X. Germ Cell Tumors (Non-Malignant) incidence rate was absent from the API response.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_hiv_disease",
-              "short_name": "HIV mortality rate",
-              "description": "Quarterly age-adjusted death rate from HIV disease per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_epithelial_neoplasms_and_melanomas",
+              "short_name": "XI. Epithelial Neoplasms And Melanomas",
+              "description": "Age-adjusted incidence rate of XI. Epithelial Neoplasms And Melanomas among children, adolescents, and young adults (ages 0-39).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_homicide",
-              "short_name": "Homicide mortality rate",
-              "description": "Quarterly age-adjusted death rate from homicide per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_epithelial_neoplasms_and_melanomas_lcl",
+              "short_name": "XI. Epithelial Neoplasms And Melanomas",
+              "description": "Lower bound of the 95% confidence interval for the incidence rate of XI. Epithelial Neoplasms And Melanomas.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_hypertension",
-              "short_name": "Hypertension mortality rate",
-              "description": "Quarterly age-adjusted death rate from hypertension per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_epithelial_neoplasms_and_melanomas_ucl",
+              "short_name": "XI. Epithelial Neoplasms And Melanomas",
+              "description": "Upper bound of the 95% confidence interval for the incidence rate of XI. Epithelial Neoplasms And Melanomas.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_influenza_and_pneumonia",
-              "short_name": "Flu & pneumonia mortality rate",
-              "description": "Quarterly age-adjusted death rate from influenza and pneumonia per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_epithelial_neoplasms_and_melanomas_suppressed",
+              "short_name": "XI. Epithelial Neoplasms And Melanomas",
+              "description": "Indicates whether the XI. Epithelial Neoplasms And Melanomas incidence rate was suppressed (reported as 0 with no confidence interval).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_kidney_disease",
-              "short_name": "Kidney disease mortality rate",
-              "description": "Quarterly age-adjusted death rate from kidney disease per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_epithelial_neoplasms_and_melanomas_not_collected",
+              "short_name": "XI. Epithelial Neoplasms And Melanomas",
+              "description": "Indicates whether the XI. Epithelial Neoplasms And Melanomas incidence rate was absent from the API response.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_parkinson_disease",
-              "short_name": "Parkinson's mortality rate",
-              "description": "Quarterly age-adjusted death rate from Parkinson's disease per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_neoplasms_other_and_nos",
+              "short_name": "XII. Other/ Unspecified Neoplasms",
+              "description": "Age-adjusted incidence rate of XII. Other/ Unspecified Neoplasms among children, adolescents, and young adults (ages 0-39).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_pneumonitis_due_to_solids_and_liquids",
-              "short_name": "Aspiration pneumonitis mortality rate",
-              "description": "Quarterly age-adjusted death rate from pneumonitis due to solids and liquids per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_neoplasms_other_and_nos_lcl",
+              "short_name": "XII. Other/ Unspecified Neoplasms",
+              "description": "Lower bound of the 95% confidence interval for the incidence rate of XII. Other/ Unspecified Neoplasms.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_stroke",
-              "short_name": "Stroke mortality rate",
-              "description": "Quarterly age-adjusted death rate from stroke per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_neoplasms_other_and_nos_ucl",
+              "short_name": "XII. Other/ Unspecified Neoplasms",
+              "description": "Upper bound of the 95% confidence interval for the incidence rate of XII. Other/ Unspecified Neoplasms.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_suicide",
-              "short_name": "Suicide mortality rate",
-              "description": "Quarterly age-adjusted death rate from suicide per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_neoplasms_other_and_nos_suppressed",
+              "short_name": "XII. Other/ Unspecified Neoplasms",
+              "description": "Indicates whether the XII. Other/ Unspecified Neoplasms incidence rate was suppressed (reported as 0 with no confidence interval).",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             },
             {
-              "name": "rate_unintentional_injuries",
-              "short_name": "Unintentional injury mortality rate",
-              "description": "Quarterly age-adjusted death rate from unintentional injuries per 100,000 population.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
+              "name": "nccr_neoplasms_other_and_nos_not_collected",
+              "short_name": "XII. Other/ Unspecified Neoplasms",
+              "description": "Indicates whether the XII. Other/ Unspecified Neoplasms incidence rate was absent from the API response.",
+              "measure_type": "Incidence",
+              "unit": "Cases per 1,000,000"
             }
           ]
-        },
+        }
+      ]
+    },
+    "nchs_mortality": {
+      "name": "nchs_mortality",
+      "display_name": "NCHS Mortality",
+      "description": "The National Center for Health Statistics (NCHS) houses the the Vital Statistics Rapid Release (VSRR) program. The program reports monthly deaths from drug overdose at the state level and quarterly deaths from drug overdose at the county level, as well as quarterly age-adjusted mortality rates for 21 selected causes of death at the state level.  Rates are expressed as per 100,000 people. Counts of 1–9 deaths are suppressed to protect privacy and imputed as 5; the suppressed_flag column identifies these records. Data from the VSSR program and are provisional, meaning they are subject to revision as more death certificates are received and processed. New York City and New York State are combined.",
+      "standard_files": [
         {
           "filename": "data.csv.gz",
           "columns": [
@@ -22187,16 +21036,9 @@
               "unit": "Binary indicator"
             }
           ]
-        }
-      ]
-    },
-    "neiss": {
-      "name": "neiss",
-      "display_name": "Neiss",
-      "description": "NEISS is a national probability sample of hospital emergency departments (~100 of the ~5,000+ U.S. hospitals with 24-hour EDs) operated by the U.S. Consumer Product Safety Commission. Each sampled record describes an injury treated in the ED, including patient age, sex, race, Hispanic ethnicity (added 2019), diagnosis, body part, disposition, up to three associated consumer products, and a statistical weight (plus sampling stratum and PSU). Sample weights scale records to national estimates; raw record counts are not nationally representative. This dataset covers treatment years from 2019 through the latest year CPSC has posted (auto-detected at ingest time), aggregated to national (geography='00') annual counts, in wide format: one neiss_n_ (raw sampled count) and one neiss_wt_ (weighted national estimate) column per primary-diagnosis or primary-product-group category. Product groups are reconstructed from NEISS product-code bands and are approximate, not an official CPSC taxonomy. Companion _rate files (data_*_rate.csv.gz) give injury rates per 100,000 population stratified by age and sex only, using the weighted estimate as numerator and a constant national age x sex population (mean of U.S. Census Vintage 2023 estimates, 2020-2023) as denominator.",
-      "standard_files": [
+        },
         {
-          "filename": "data_agegroup_diagnosis_rate.csv.gz",
+          "filename": "data_county.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -22213,231 +21055,201 @@
               "unit": "date"
             },
             {
-              "name": "age",
-              "short_name": "Age",
-              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
-              "measure_type": "categorical",
-              "unit": "category"
-            },
-            {
-              "name": "sex",
-              "short_name": "Sex",
-              "description": "Patient sex (Male, Female, Unknown).",
-              "measure_type": "categorical",
-              "unit": "category"
-            },
-            {
-              "name": "neiss_rate_amputation",
-              "short_name": "Amputation injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_anoxia",
-              "short_name": "Anoxia injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_aspirated_object",
-              "short_name": "Aspirated object injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_avulsion",
-              "short_name": "Avulsion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_burns_chemical",
-              "short_name": "Chemical burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "n_deaths_overdose",
+              "short_name": "Drug overdose deaths",
+              "description": "Provisional count of drug overdose deaths. State-level data are 12-month rolling totals; county-level data are monthly.",
+              "measure_type": "Count",
+              "unit": "Deaths"
             },
             {
-              "name": "neiss_rate_burns_elec",
-              "short_name": "Electrical burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "suppressed",
+              "short_name": "Drug overdose suppression flag",
+              "description": "Indicates whether the county drug overdose death count was suppressed by NCHS. Due to privacy protections, counts fewer than 10 are suppressed and imputed to be 5.",
+              "measure_type": "Binary",
+              "unit": "Binary indicator"
             },
             {
-              "name": "neiss_rate_burns_radiation",
-              "short_name": "Radiation burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
+              "name": "pct_pending_invest",
+              "short_name": "Percent pending investigation",
+              "description": "Percentage of death records still pending investigation for the reporting period.",
+              "measure_type": "Percent",
+              "unit": "Percent"
+            }
+          ]
+        },
+        {
+          "filename": "data_state_21_causes.csv.gz",
+          "columns": [
             {
-              "name": "neiss_rate_burns_scald",
-              "short_name": "Scald burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "geography",
+              "short_name": "Geography",
+              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
+              "measure_type": "identifier",
+              "unit": "FIPS code"
             },
             {
-              "name": "neiss_rate_burns_thermal",
-              "short_name": "Thermal burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
             },
             {
-              "name": "neiss_rate_concussion",
-              "short_name": "Concussion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.",
+              "name": "rate_all_causes",
+              "short_name": "All-cause mortality rate",
+              "description": "Quarterly age-adjusted death rate from all causes per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
-            {
-              "name": "neiss_rate_contusion_or_abrasion",
-              "short_name": "Contusion or abrasion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.",
+            {
+              "name": "rate_alzheimer_disease",
+              "short_name": "Alzheimer's mortality rate",
+              "description": "Quarterly age-adjusted death rate from Alzheimer's disease per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_crushing",
-              "short_name": "Crushing injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.",
+              "name": "rate_covid_19",
+              "short_name": "COVID-19 mortality rate",
+              "description": "Quarterly age-adjusted death rate from COVID-19 per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_dental_injury",
-              "short_name": "Dental injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.",
+              "name": "rate_cancer",
+              "short_name": "Cancer mortality rate",
+              "description": "Quarterly age-adjusted death rate from cancer per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_dermat_or_conj",
-              "short_name": "Dermatitis or conjunctivitis injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.",
+              "name": "rate_chronic_liver_disease_and_cirrhosis",
+              "short_name": "Liver disease mortality rate",
+              "description": "Quarterly age-adjusted death rate from chronic liver disease and cirrhosis per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_dislocation",
-              "short_name": "Dislocation injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.",
+              "name": "rate_chronic_lower_respiratory_diseases",
+              "short_name": "CLRD mortality rate",
+              "description": "Quarterly age-adjusted death rate from chronic lower respiratory diseases per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_electric_shock",
-              "short_name": "Electric shock injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.",
+              "name": "rate_diabetes",
+              "short_name": "Diabetes mortality rate",
+              "description": "Quarterly age-adjusted death rate from diabetes per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_foreign_body",
-              "short_name": "Foreign body injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.",
+              "name": "rate_drug_overdose",
+              "short_name": "Drug overdose mortality rate",
+              "description": "Quarterly age-adjusted death rate from drug overdose per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_fracture",
-              "short_name": "Fracture injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.",
+              "name": "rate_falls_ages_65_and_over",
+              "short_name": "Falls mortality rate (65+)",
+              "description": "Quarterly age-adjusted death rate from falls among adults 65 and over per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_hematoma",
-              "short_name": "Hematoma injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.",
+              "name": "rate_firearm_related_injury",
+              "short_name": "Firearm injury mortality rate",
+              "description": "Quarterly age-adjusted death rate from firearm-related injuries per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_hemorrhage",
-              "short_name": "Hemorrhage injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.",
+              "name": "rate_heart_disease",
+              "short_name": "Heart disease mortality rate",
+              "description": "Quarterly age-adjusted death rate from heart disease per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_ingested_object",
-              "short_name": "Ingested object injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.",
+              "name": "rate_hiv_disease",
+              "short_name": "HIV mortality rate",
+              "description": "Quarterly age-adjusted death rate from HIV disease per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_inter_organ_injury",
-              "short_name": "Internal organ injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.",
+              "name": "rate_homicide",
+              "short_name": "Homicide mortality rate",
+              "description": "Quarterly age-adjusted death rate from homicide per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_laceration",
-              "short_name": "Laceration injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.",
+              "name": "rate_hypertension",
+              "short_name": "Hypertension mortality rate",
+              "description": "Quarterly age-adjusted death rate from hypertension per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_nerve_damage",
-              "short_name": "Nerve damage injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.",
+              "name": "rate_influenza_and_pneumonia",
+              "short_name": "Flu & pneumonia mortality rate",
+              "description": "Quarterly age-adjusted death rate from influenza and pneumonia per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_other_or_not_stated",
-              "short_name": "Other or not stated injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.",
+              "name": "rate_kidney_disease",
+              "short_name": "Kidney disease mortality rate",
+              "description": "Quarterly age-adjusted death rate from kidney disease per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_poisoning",
-              "short_name": "Poisoning injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.",
+              "name": "rate_parkinson_disease",
+              "short_name": "Parkinson's mortality rate",
+              "description": "Quarterly age-adjusted death rate from Parkinson's disease per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_puncture",
-              "short_name": "Puncture injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.",
+              "name": "rate_pneumonitis_due_to_solids_and_liquids",
+              "short_name": "Aspiration pneumonitis mortality rate",
+              "description": "Quarterly age-adjusted death rate from pneumonitis due to solids and liquids per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_strain_sprain",
-              "short_name": "Strain or sprain injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.",
+              "name": "rate_stroke",
+              "short_name": "Stroke mortality rate",
+              "description": "Quarterly age-adjusted death rate from stroke per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_submersion",
-              "short_name": "Submersion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.",
+              "name": "rate_suicide",
+              "short_name": "Suicide mortality rate",
+              "description": "Quarterly age-adjusted death rate from suicide per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             },
             {
-              "name": "neiss_rate_burns_not_spec",
-              "short_name": "Burns (unspecified) injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.",
+              "name": "rate_unintentional_injuries",
+              "short_name": "Unintentional injury mortality rate",
+              "description": "Quarterly age-adjusted death rate from unintentional injuries per 100,000 population.",
               "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "unit": "Deaths per 100,000"
             }
           ]
-        },
+        }
+      ]
+    },
+    "neiss": {
+      "name": "neiss",
+      "display_name": "Neiss",
+      "description": "NEISS is a national probability sample of hospital emergency departments (~100 of the ~5,000+ U.S. hospitals with 24-hour EDs) operated by the U.S. Consumer Product Safety Commission. Each sampled record describes an injury treated in the ED, including patient age, sex, race, Hispanic ethnicity (added 2019), diagnosis, body part, disposition, up to three associated consumer products, and a statistical weight (plus sampling stratum and PSU). Sample weights scale records to national estimates; raw record counts are not nationally representative. This dataset covers treatment years from 2019 through the latest year CPSC has posted (auto-detected at ingest time), aggregated to national (geography='00') annual counts, in wide format: one neiss_n_ (raw sampled count) and one neiss_wt_ (weighted national estimate) column per primary-diagnosis or primary-product-group category. Product groups are reconstructed from NEISS product-code bands and are approximate, not an official CPSC taxonomy. Companion _rate files (data_*_rate.csv.gz) give injury rates per 100,000 population stratified by age and sex only, using the weighted estimate as numerator and a constant national age x sex population (mean of U.S. Census Vintage 2023 estimates, 2020-2023) as denominator.",
+      "standard_files": [
         {
           "filename": "data_agegroup_diagnosis.csv.gz",
           "columns": [
@@ -22906,145 +21718,243 @@
           ]
         },
         {
-          "filename": "data_agegroup_product_rate.csv.gz",
+          "filename": "data_agegroup_diagnosis_rate.csv.gz",
           "columns": [
             {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
+              "name": "geography",
+              "short_name": "Geography",
+              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
+              "measure_type": "identifier",
+              "unit": "FIPS code"
+            },
+            {
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
+            },
+            {
+              "name": "age",
+              "short_name": "Age",
+              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "sex",
+              "short_name": "Sex",
+              "description": "Patient sex (Male, Female, Unknown).",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "neiss_rate_amputation",
+              "short_name": "Amputation injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_anoxia",
+              "short_name": "Anoxia injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_aspirated_object",
+              "short_name": "Aspirated object injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_avulsion",
+              "short_name": "Avulsion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_chemical",
+              "short_name": "Chemical burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_elec",
+              "short_name": "Electrical burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_radiation",
+              "short_name": "Radiation burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_scald",
+              "short_name": "Scald burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_thermal",
+              "short_name": "Thermal burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_concussion",
+              "short_name": "Concussion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
+              "name": "neiss_rate_contusion_or_abrasion",
+              "short_name": "Contusion or abrasion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "age",
-              "short_name": "Age",
-              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
-              "measure_type": "categorical",
-              "unit": "category"
+              "name": "neiss_rate_crushing",
+              "short_name": "Crushing injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "sex",
-              "short_name": "Sex",
-              "description": "Patient sex (Male, Female, Unknown).",
-              "measure_type": "categorical",
-              "unit": "category"
+              "name": "neiss_rate_dental_injury",
+              "short_name": "Dental injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_chemicals",
-              "short_name": "Chemicals injury rate",
-              "description": "Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_dermat_or_conj",
+              "short_name": "Dermatitis or conjunctivitis injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_child_nursery_equipment",
-              "short_name": "Child nursery equipment injury rate",
-              "description": "Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_dislocation",
+              "short_name": "Dislocation injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_general_household_appliances",
-              "short_name": "General household appliances injury rate",
-              "description": "Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_electric_shock",
+              "short_name": "Electric shock injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_heating_cooling_ventilation",
-              "short_name": "Heating, cooling & ventilation injury rate",
-              "description": "Annual ED injury visits whose primary product was heating, cooling & ventilation per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_foreign_body",
+              "short_name": "Foreign body injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_communication_entertainment_hobby",
-              "short_name": "Home communication, entertainment & hobby injury rate",
-              "description": "Annual ED injury visits whose primary product was home communication, entertainment & hobby per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_fracture",
+              "short_name": "Fracture injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_furnishings_fixtures",
-              "short_name": "Home furnishings & fixtures injury rate",
-              "description": "Annual ED injury visits whose primary product was home furnishings & fixtures per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_hematoma",
+              "short_name": "Hematoma injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_structures_construction_materials",
-              "short_name": "Home structures & construction materials injury rate",
-              "description": "Annual ED injury visits whose primary product was home structures & construction materials per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_hemorrhage",
+              "short_name": "Hemorrhage injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_workshop_equipment_tools",
-              "short_name": "Home workshop equipment & tools injury rate",
-              "description": "Annual ED injury visits whose primary product was home workshop equipment & tools per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_ingested_object",
+              "short_name": "Ingested object injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_housewares",
-              "short_name": "Housewares injury rate",
-              "description": "Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_inter_organ_injury",
+              "short_name": "Internal organ injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_kitchen_appliances",
-              "short_name": "Kitchen appliances injury rate",
-              "description": "Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_laceration",
+              "short_name": "Laceration injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_other_unspecified",
-              "short_name": "Other/unspecified product injury rate",
-              "description": "Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_nerve_damage",
+              "short_name": "Nerve damage injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_packaging_containers",
-              "short_name": "Packaging & containers injury rate",
-              "description": "Annual ED injury visits whose primary product was packaging & containers per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_other_or_not_stated",
+              "short_name": "Other or not stated injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_personal_use_drugs_misc",
-              "short_name": "Personal use, drugs & misc. injury rate",
-              "description": "Annual ED injury visits whose primary product was personal use, drugs & misc. per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_poisoning",
+              "short_name": "Poisoning injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_sports_recreation_activities",
-              "short_name": "Sports & recreation activities injury rate",
-              "description": "Annual ED injury visits whose primary product was sports & recreation activities per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_puncture",
+              "short_name": "Puncture injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_sports_recreation_equipment_toys",
-              "short_name": "Sports/recreation equipment & toys injury rate",
-              "description": "Annual ED injury visits whose primary product was sports/recreation equipment & toys per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_strain_sprain",
+              "short_name": "Strain or sprain injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_yard_garden_equipment",
-              "short_name": "Yard & garden equipment injury rate",
-              "description": "Annual ED injury visits whose primary product was yard & garden equipment per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_submersion",
+              "short_name": "Submersion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_not_spec",
+              "short_name": "Burns (unspecified) injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             }
@@ -23322,243 +22232,145 @@
           ]
         },
         {
-          "filename": "data_infant_diagnosis_rate.csv.gz",
+          "filename": "data_agegroup_product_rate.csv.gz",
           "columns": [
             {
               "name": "geography",
               "short_name": "Geography",
               "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
-            },
-            {
-              "name": "age",
-              "short_name": "Age",
-              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
-              "measure_type": "categorical",
-              "unit": "category"
-            },
-            {
-              "name": "sex",
-              "short_name": "Sex",
-              "description": "Patient sex (Male, Female, Unknown).",
-              "measure_type": "categorical",
-              "unit": "category"
-            },
-            {
-              "name": "neiss_rate_fracture",
-              "short_name": "Fracture injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_inter_organ_injury",
-              "short_name": "Internal organ injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_laceration",
-              "short_name": "Laceration injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_other_or_not_stated",
-              "short_name": "Other or not stated injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_strain_sprain",
-              "short_name": "Strain or sprain injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_anoxia",
-              "short_name": "Anoxia injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_burns_thermal",
-              "short_name": "Thermal burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_contusion_or_abrasion",
-              "short_name": "Contusion or abrasion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_poisoning",
-              "short_name": "Poisoning injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_aspirated_object",
-              "short_name": "Aspirated object injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_burns_chemical",
-              "short_name": "Chemical burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
-            },
-            {
-              "name": "neiss_rate_burns_scald",
-              "short_name": "Scald burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "measure_type": "identifier",
+              "unit": "FIPS code"
             },
             {
-              "name": "neiss_rate_concussion",
-              "short_name": "Concussion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
             },
             {
-              "name": "neiss_rate_dermat_or_conj",
-              "short_name": "Dermatitis or conjunctivitis injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.",
-              "measure_type": "Rate",
-              "unit": "Injuries per 100,000 population"
+              "name": "age",
+              "short_name": "Age",
+              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
+              "measure_type": "categorical",
+              "unit": "category"
             },
             {
-              "name": "neiss_rate_foreign_body",
-              "short_name": "Foreign body injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.",
+              "name": "sex",
+              "short_name": "Sex",
+              "description": "Patient sex (Male, Female, Unknown).",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "neiss_rate_chemicals",
+              "short_name": "Chemicals injury rate",
+              "description": "Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_hematoma",
-              "short_name": "Hematoma injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_child_nursery_equipment",
+              "short_name": "Child nursery equipment injury rate",
+              "description": "Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_hemorrhage",
-              "short_name": "Hemorrhage injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_general_household_appliances",
+              "short_name": "General household appliances injury rate",
+              "description": "Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_ingested_object",
-              "short_name": "Ingested object injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_heating_cooling_ventilation",
+              "short_name": "Heating, cooling & ventilation injury rate",
+              "description": "Annual ED injury visits whose primary product was heating, cooling & ventilation per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_crushing",
-              "short_name": "Crushing injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_home_communication_entertainment_hobby",
+              "short_name": "Home communication, entertainment & hobby injury rate",
+              "description": "Annual ED injury visits whose primary product was home communication, entertainment & hobby per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_nerve_damage",
-              "short_name": "Nerve damage injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_home_furnishings_fixtures",
+              "short_name": "Home furnishings & fixtures injury rate",
+              "description": "Annual ED injury visits whose primary product was home furnishings & fixtures per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_submersion",
-              "short_name": "Submersion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_home_structures_construction_materials",
+              "short_name": "Home structures & construction materials injury rate",
+              "description": "Annual ED injury visits whose primary product was home structures & construction materials per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_dislocation",
-              "short_name": "Dislocation injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_home_workshop_equipment_tools",
+              "short_name": "Home workshop equipment & tools injury rate",
+              "description": "Annual ED injury visits whose primary product was home workshop equipment & tools per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_avulsion",
-              "short_name": "Avulsion injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_housewares",
+              "short_name": "Housewares injury rate",
+              "description": "Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_dental_injury",
-              "short_name": "Dental injury injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_kitchen_appliances",
+              "short_name": "Kitchen appliances injury rate",
+              "description": "Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_puncture",
-              "short_name": "Puncture injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_other_unspecified",
+              "short_name": "Other/unspecified product injury rate",
+              "description": "Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_amputation",
-              "short_name": "Amputation injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_packaging_containers",
+              "short_name": "Packaging & containers injury rate",
+              "description": "Annual ED injury visits whose primary product was packaging & containers per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_burns_not_spec",
-              "short_name": "Burns (unspecified) injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_personal_use_drugs_misc",
+              "short_name": "Personal use, drugs & misc. injury rate",
+              "description": "Annual ED injury visits whose primary product was personal use, drugs & misc. per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_electric_shock",
-              "short_name": "Electric shock injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_sports_recreation_activities",
+              "short_name": "Sports & recreation activities injury rate",
+              "description": "Annual ED injury visits whose primary product was sports & recreation activities per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_burns_elec",
-              "short_name": "Electrical burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_sports_recreation_equipment_toys",
+              "short_name": "Sports/recreation equipment & toys injury rate",
+              "description": "Annual ED injury visits whose primary product was sports/recreation equipment & toys per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_burns_radiation",
-              "short_name": "Radiation burns injury rate",
-              "description": "Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_yard_garden_equipment",
+              "short_name": "Yard & garden equipment injury rate",
+              "description": "Annual ED injury visits whose primary product was yard & garden equipment per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             }
@@ -24032,7 +22844,7 @@
           ]
         },
         {
-          "filename": "data_infant_product_rate.csv.gz",
+          "filename": "data_infant_diagnosis_rate.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -24063,114 +22875,212 @@
               "unit": "category"
             },
             {
-              "name": "neiss_rate_home_furnishings_fixtures",
-              "short_name": "Home furnishings & fixtures injury rate",
-              "description": "Annual ED injury visits whose primary product was home furnishings & fixtures per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_fracture",
+              "short_name": "Fracture injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of fracture per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_personal_use_drugs_misc",
-              "short_name": "Personal use, drugs & misc. injury rate",
-              "description": "Annual ED injury visits whose primary product was personal use, drugs & misc. per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_inter_organ_injury",
+              "short_name": "Internal organ injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of internal organ injury per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_sports_recreation_activities",
-              "short_name": "Sports & recreation activities injury rate",
-              "description": "Annual ED injury visits whose primary product was sports & recreation activities per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_laceration",
+              "short_name": "Laceration injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of laceration per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_child_nursery_equipment",
-              "short_name": "Child nursery equipment injury rate",
-              "description": "Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_other_or_not_stated",
+              "short_name": "Other or not stated injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of other or not stated per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_housewares",
-              "short_name": "Housewares injury rate",
-              "description": "Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_strain_sprain",
+              "short_name": "Strain or sprain injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of strain or sprain per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_sports_recreation_equipment_toys",
-              "short_name": "Sports/recreation equipment & toys injury rate",
-              "description": "Annual ED injury visits whose primary product was sports/recreation equipment & toys per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_anoxia",
+              "short_name": "Anoxia injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of anoxia per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_thermal",
+              "short_name": "Thermal burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of thermal burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_contusion_or_abrasion",
+              "short_name": "Contusion or abrasion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of contusion or abrasion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_poisoning",
+              "short_name": "Poisoning injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of poisoning per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_aspirated_object",
+              "short_name": "Aspirated object injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of aspirated object per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_chemical",
+              "short_name": "Chemical burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of chemical burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_burns_scald",
+              "short_name": "Scald burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of scald burns per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_concussion",
+              "short_name": "Concussion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of concussion per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_dermat_or_conj",
+              "short_name": "Dermatitis or conjunctivitis injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dermatitis or conjunctivitis per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_foreign_body",
+              "short_name": "Foreign body injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of foreign body per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_hematoma",
+              "short_name": "Hematoma injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of hematoma per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_hemorrhage",
+              "short_name": "Hemorrhage injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of hemorrhage per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_ingested_object",
+              "short_name": "Ingested object injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of ingested object per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_crushing",
+              "short_name": "Crushing injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of crushing injury per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_nerve_damage",
+              "short_name": "Nerve damage injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of nerve damage per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_chemicals",
-              "short_name": "Chemicals injury rate",
-              "description": "Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_submersion",
+              "short_name": "Submersion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of submersion per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_communication_entertainment_hobby",
-              "short_name": "Home communication, entertainment & hobby injury rate",
-              "description": "Annual ED injury visits whose primary product was home communication, entertainment & hobby per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_dislocation",
+              "short_name": "Dislocation injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dislocation per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_structures_construction_materials",
-              "short_name": "Home structures & construction materials injury rate",
-              "description": "Annual ED injury visits whose primary product was home structures & construction materials per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_avulsion",
+              "short_name": "Avulsion injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of avulsion per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_home_workshop_equipment_tools",
-              "short_name": "Home workshop equipment & tools injury rate",
-              "description": "Annual ED injury visits whose primary product was home workshop equipment & tools per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_dental_injury",
+              "short_name": "Dental injury injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of dental injury per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_kitchen_appliances",
-              "short_name": "Kitchen appliances injury rate",
-              "description": "Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_puncture",
+              "short_name": "Puncture injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of puncture per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_packaging_containers",
-              "short_name": "Packaging & containers injury rate",
-              "description": "Annual ED injury visits whose primary product was packaging & containers per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_amputation",
+              "short_name": "Amputation injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of amputation per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_heating_cooling_ventilation",
-              "short_name": "Heating, cooling & ventilation injury rate",
-              "description": "Annual ED injury visits whose primary product was heating, cooling & ventilation per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_burns_not_spec",
+              "short_name": "Burns (unspecified) injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of burns (unspecified) per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_other_unspecified",
-              "short_name": "Other/unspecified product injury rate",
-              "description": "Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_electric_shock",
+              "short_name": "Electric shock injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of electric shock per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_yard_garden_equipment",
-              "short_name": "Yard & garden equipment injury rate",
-              "description": "Annual ED injury visits whose primary product was yard & garden equipment per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_burns_elec",
+              "short_name": "Electrical burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of electrical burns per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             },
             {
-              "name": "neiss_rate_general_household_appliances",
-              "short_name": "General household appliances injury rate",
-              "description": "Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.",
+              "name": "neiss_rate_burns_radiation",
+              "short_name": "Radiation burns injury rate",
+              "description": "Annual ED injury visits with a primary diagnosis of radiation burns per 100,000 U.S. population, by age and sex.",
               "measure_type": "Rate",
               "unit": "Injuries per 100,000 population"
             }
@@ -24418,42 +23328,227 @@
               "unit": "visits"
             },
             {
-              "name": "neiss_wt_heating_cooling_ventilation",
-              "short_name": "Heating, cooling & ventilation injuries (national est.)",
-              "description": "Survey-weighted national estimate of ED injury visits whose primary product was heating, cooling & ventilation in the stratum.",
-              "measure_type": "Count",
-              "unit": "visits"
+              "name": "neiss_wt_heating_cooling_ventilation",
+              "short_name": "Heating, cooling & ventilation injuries (national est.)",
+              "description": "Survey-weighted national estimate of ED injury visits whose primary product was heating, cooling & ventilation in the stratum.",
+              "measure_type": "Count",
+              "unit": "visits"
+            },
+            {
+              "name": "neiss_wt_other_unspecified",
+              "short_name": "Other/unspecified product injuries (national est.)",
+              "description": "Survey-weighted national estimate of ED injury visits whose primary product was other/unspecified product in the stratum.",
+              "measure_type": "Count",
+              "unit": "visits"
+            },
+            {
+              "name": "neiss_wt_yard_garden_equipment",
+              "short_name": "Yard & garden equipment injuries (national est.)",
+              "description": "Survey-weighted national estimate of ED injury visits whose primary product was yard & garden equipment in the stratum.",
+              "measure_type": "Count",
+              "unit": "visits"
+            },
+            {
+              "name": "neiss_wt_general_household_appliances",
+              "short_name": "General household appliances injuries (national est.)",
+              "description": "Survey-weighted national estimate of ED injury visits whose primary product was general household appliances in the stratum.",
+              "measure_type": "Count",
+              "unit": "visits"
+            }
+          ]
+        },
+        {
+          "filename": "data_infant_product_rate.csv.gz",
+          "columns": [
+            {
+              "name": "geography",
+              "short_name": "Geography",
+              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
+              "measure_type": "identifier",
+              "unit": "FIPS code"
+            },
+            {
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
+            },
+            {
+              "name": "age",
+              "short_name": "Age",
+              "description": "Patient age: age in completed months (00-23 months) in the infant files; a standard age band in the age-group files.",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "sex",
+              "short_name": "Sex",
+              "description": "Patient sex (Male, Female, Unknown).",
+              "measure_type": "categorical",
+              "unit": "category"
+            },
+            {
+              "name": "neiss_rate_home_furnishings_fixtures",
+              "short_name": "Home furnishings & fixtures injury rate",
+              "description": "Annual ED injury visits whose primary product was home furnishings & fixtures per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_personal_use_drugs_misc",
+              "short_name": "Personal use, drugs & misc. injury rate",
+              "description": "Annual ED injury visits whose primary product was personal use, drugs & misc. per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_sports_recreation_activities",
+              "short_name": "Sports & recreation activities injury rate",
+              "description": "Annual ED injury visits whose primary product was sports & recreation activities per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_child_nursery_equipment",
+              "short_name": "Child nursery equipment injury rate",
+              "description": "Annual ED injury visits whose primary product was child nursery equipment per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_housewares",
+              "short_name": "Housewares injury rate",
+              "description": "Annual ED injury visits whose primary product was housewares per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_sports_recreation_equipment_toys",
+              "short_name": "Sports/recreation equipment & toys injury rate",
+              "description": "Annual ED injury visits whose primary product was sports/recreation equipment & toys per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_chemicals",
+              "short_name": "Chemicals injury rate",
+              "description": "Annual ED injury visits whose primary product was chemicals per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_home_communication_entertainment_hobby",
+              "short_name": "Home communication, entertainment & hobby injury rate",
+              "description": "Annual ED injury visits whose primary product was home communication, entertainment & hobby per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_home_structures_construction_materials",
+              "short_name": "Home structures & construction materials injury rate",
+              "description": "Annual ED injury visits whose primary product was home structures & construction materials per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_home_workshop_equipment_tools",
+              "short_name": "Home workshop equipment & tools injury rate",
+              "description": "Annual ED injury visits whose primary product was home workshop equipment & tools per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_kitchen_appliances",
+              "short_name": "Kitchen appliances injury rate",
+              "description": "Annual ED injury visits whose primary product was kitchen appliances per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_packaging_containers",
+              "short_name": "Packaging & containers injury rate",
+              "description": "Annual ED injury visits whose primary product was packaging & containers per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_heating_cooling_ventilation",
+              "short_name": "Heating, cooling & ventilation injury rate",
+              "description": "Annual ED injury visits whose primary product was heating, cooling & ventilation per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_other_unspecified",
+              "short_name": "Other/unspecified product injury rate",
+              "description": "Annual ED injury visits whose primary product was other/unspecified product per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_yard_garden_equipment",
+              "short_name": "Yard & garden equipment injury rate",
+              "description": "Annual ED injury visits whose primary product was yard & garden equipment per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            },
+            {
+              "name": "neiss_rate_general_household_appliances",
+              "short_name": "General household appliances injury rate",
+              "description": "Annual ED injury visits whose primary product was general household appliances per 100,000 U.S. population, by age and sex.",
+              "measure_type": "Rate",
+              "unit": "Injuries per 100,000 population"
+            }
+          ]
+        }
+      ]
+    },
+    "nhtsa_crash": {
+      "name": "nhtsa_crash",
+      "display_name": "Nhtsa Crash",
+      "description": "FARS is a nationwide census providing NHTSA, Congress, and the American public with yearly data on fatal injuries suffered in motor vehicle traffic crashes. FARS contains data on all crashes in the United States involving a fatality in a motor vehicle traffic crash on a public road. A fatal crash is one in which a motor vehicle is involved and at least one person dies within 30 days of the crash. Data are collected from police crash reports, state vehicle registration files, state driver licensing files, state highway department data, vital statistics, and other sources. FARS has been operational since 1975 and covers all 50 states, the District of Columbia, and Puerto Rico (national files cover the 50 states and DC).",
+      "standard_files": [
+        {
+          "filename": "data.csv.gz",
+          "columns": [
+            {
+              "name": "geography",
+              "short_name": "Geography",
+              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
+              "measure_type": "identifier",
+              "unit": "FIPS code"
+            },
+            {
+              "name": "time",
+              "short_name": "Time",
+              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
+              "measure_type": "date",
+              "unit": "date"
             },
             {
-              "name": "neiss_wt_other_unspecified",
-              "short_name": "Other/unspecified product injuries (national est.)",
-              "description": "Survey-weighted national estimate of ED injury visits whose primary product was other/unspecified product in the stratum.",
+              "name": "nhtsa_fatalities",
+              "short_name": "Motor vehicle fatalities",
+              "description": "Annual count of persons killed in motor vehicle traffic crashes.",
               "measure_type": "Count",
-              "unit": "visits"
+              "unit": "Deaths"
             },
             {
-              "name": "neiss_wt_yard_garden_equipment",
-              "short_name": "Yard & garden equipment injuries (national est.)",
-              "description": "Survey-weighted national estimate of ED injury visits whose primary product was yard & garden equipment in the stratum.",
+              "name": "nhtsa_fatal_crashes",
+              "short_name": "Fatal crashes",
+              "description": "Annual count of motor vehicle crashes resulting in at least one fatality.",
               "measure_type": "Count",
-              "unit": "visits"
+              "unit": "Crashes"
             },
             {
-              "name": "neiss_wt_general_household_appliances",
-              "short_name": "General household appliances injuries (national est.)",
-              "description": "Survey-weighted national estimate of ED injury visits whose primary product was general household appliances in the stratum.",
-              "measure_type": "Count",
-              "unit": "visits"
+              "name": "nhtsa_fatality_rate",
+              "short_name": "Fatality rate (per 100k)",
+              "description": "Annual motor vehicle fatalities per 100,000 residents. Population denominator is 2021 Census.",
+              "measure_type": "Rate",
+              "unit": "Deaths per 100,000"
             }
           ]
-        }
-      ]
-    },
-    "nhtsa_crash": {
-      "name": "nhtsa_crash",
-      "display_name": "Nhtsa Crash",
-      "description": "FARS is a nationwide census providing NHTSA, Congress, and the American public with yearly data on fatal injuries suffered in motor vehicle traffic crashes. FARS contains data on all crashes in the United States involving a fatality in a motor vehicle traffic crash on a public road. A fatal crash is one in which a motor vehicle is involved and at least one person dies within 30 days of the crash. Data are collected from police crash reports, state vehicle registration files, state driver licensing files, state highway department data, vital statistics, and other sources. FARS has been operational since 1975 and covers all 50 states, the District of Columbia, and Puerto Rico (national files cover the 50 states and DC).",
-      "standard_files": [
+        },
         {
           "filename": "data_age_sex.csv.gz",
           "columns": [
@@ -24608,10 +23703,66 @@
               "unit": "Deaths"
             }
           ]
-        },
+        }
+      ]
+    },
+    "nis": {
+      "name": "nis",
+      "display_name": "NIS",
+      "description": "The National Immunization Surveys (NIS) are a group of telephone surveys used to monitor vaccination coverage among children 19-35 months, teens 13-17 years, flu vaccinations for children 6 months-17 years, and COVID-19 vaccination for children, teens, and adults. The surveys are sponsored and conducted by the National Center for Immunization and Respiratory Diseases (NCIRD) of the CDC and authorized by the Public Health Service Act. NIS provides population-based, state and local area estimates of vaccination coverage using a standard survey methodology. Surveys collect data through telephone interviews with parents or guardians in all 50 states, the District of Columbia, and some U.S. territories. Cell phone numbers are randomly selected and called to enroll age-eligible children. With parental permission, vaccination providers are contacted to verify immunization records. Children and teens are classified as up to date based on ACIP-recommended vaccine doses.",
+      "standard_files": [
         {
           "filename": "data.csv.gz",
           "columns": [
+            {
+              "name": "birth_year",
+              "short_name": "Birth Year",
+              "description": "Calendar year the child was born.",
+              "measure_type": "integer",
+              "unit": "year"
+            },
+            {
+              "name": "age",
+              "short_name": "Age",
+              "description": "Age group of surveyed children.",
+              "measure_type": "categorical",
+              "unit": ""
+            },
+            {
+              "name": "vaccine",
+              "short_name": "Vaccine",
+              "description": "Type of vaccine being measured.",
+              "measure_type": "categorical",
+              "unit": ""
+            },
+            {
+              "name": "vax_uptake_overall",
+              "short_name": "Overall",
+              "description": "Percent of survey respondents who received the indicated vaccine",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "vax_uptake_overall_lcl",
+              "short_name": "Overall lower 95% CI",
+              "description": "Percent of survey respondents who received the indicated vaccine",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "vax_uptake_overall_ucl",
+              "short_name": "Overall upper 95% CI",
+              "description": "Percent of survey respondents who received the indicated vaccine",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
+            {
+              "name": "sample_size_overall",
+              "short_name": "Overall",
+              "description": "Number of children surveyed for vaccination coverage estimates in the National Immunization Survey (NIS).",
+              "measure_type": "percent",
+              "unit": "percent"
+            },
             {
               "name": "geography",
               "short_name": "Geography",
@@ -24625,37 +23776,9 @@
               "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
               "measure_type": "date",
               "unit": "date"
-            },
-            {
-              "name": "nhtsa_fatalities",
-              "short_name": "Motor vehicle fatalities",
-              "description": "Annual count of persons killed in motor vehicle traffic crashes.",
-              "measure_type": "Count",
-              "unit": "Deaths"
-            },
-            {
-              "name": "nhtsa_fatal_crashes",
-              "short_name": "Fatal crashes",
-              "description": "Annual count of motor vehicle crashes resulting in at least one fatality.",
-              "measure_type": "Count",
-              "unit": "Crashes"
-            },
-            {
-              "name": "nhtsa_fatality_rate",
-              "short_name": "Fatality rate (per 100k)",
-              "description": "Annual motor vehicle fatalities per 100,000 residents. Population denominator is 2021 Census.",
-              "measure_type": "Rate",
-              "unit": "Deaths per 100,000"
             }
           ]
-        }
-      ]
-    },
-    "nis": {
-      "name": "nis",
-      "display_name": "NIS",
-      "description": "The National Immunization Surveys (NIS) are a group of telephone surveys used to monitor vaccination coverage among children 19-35 months, teens 13-17 years, flu vaccinations for children 6 months-17 years, and COVID-19 vaccination for children, teens, and adults. The surveys are sponsored and conducted by the National Center for Immunization and Respiratory Diseases (NCIRD) of the CDC and authorized by the Public Health Service Act. NIS provides population-based, state and local area estimates of vaccination coverage using a standard survey methodology. Surveys collect data through telephone interviews with parents or guardians in all 50 states, the District of Columbia, and some U.S. territories. Cell phone numbers are randomly selected and called to enroll age-eligible children. With parental permission, vaccination providers are contacted to verify immunization records. Children and teens are classified as up to date based on ACIP-recommended vaccine doses.",
-      "standard_files": [
+        },
         {
           "filename": "data_insurance.csv.gz",
           "columns": [
@@ -24777,74 +23900,6 @@
               "unit": "percent"
             }
           ]
-        },
-        {
-          "filename": "data.csv.gz",
-          "columns": [
-            {
-              "name": "birth_year",
-              "short_name": "Birth Year",
-              "description": "Calendar year the child was born.",
-              "measure_type": "integer",
-              "unit": "year"
-            },
-            {
-              "name": "age",
-              "short_name": "Age",
-              "description": "Age group of surveyed children.",
-              "measure_type": "categorical",
-              "unit": ""
-            },
-            {
-              "name": "vaccine",
-              "short_name": "Vaccine",
-              "description": "Type of vaccine being measured.",
-              "measure_type": "categorical",
-              "unit": ""
-            },
-            {
-              "name": "vax_uptake_overall",
-              "short_name": "Overall",
-              "description": "Percent of survey respondents who received the indicated vaccine",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "vax_uptake_overall_lcl",
-              "short_name": "Overall lower 95% CI",
-              "description": "Percent of survey respondents who received the indicated vaccine",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "vax_uptake_overall_ucl",
-              "short_name": "Overall upper 95% CI",
-              "description": "Percent of survey respondents who received the indicated vaccine",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "sample_size_overall",
-              "short_name": "Overall",
-              "description": "Number of children surveyed for vaccination coverage estimates in the National Immunization Survey (NIS).",
-              "measure_type": "percent",
-              "unit": "percent"
-            },
-            {
-              "name": "geography",
-              "short_name": "Geography",
-              "description": "FIPS code identifier (00 = national, 2-digit = state, 5-digit = county)",
-              "measure_type": "identifier",
-              "unit": "FIPS code"
-            },
-            {
-              "name": "time",
-              "short_name": "Time",
-              "description": "Date in MM-DD-YYYY format (Saturday for weekly data)",
-              "measure_type": "date",
-              "unit": "date"
-            }
-          ]
         }
       ]
     },
@@ -26154,7 +25209,7 @@
       "description": "SchoolVaxView monitors vaccination coverage among U.S. school-aged children. Data are collected annually by states, territories, and select local jurisdictions through school vaccination assessments, which review student vaccination records at kindergarten entry. These data are made available by the CDC.",
       "standard_files": [
         {
-          "filename": "data_exemptions.csv.gz",
+          "filename": "data.csv.gz",
           "columns": [
             {
               "name": "time",
@@ -26215,7 +25270,7 @@
           ]
         },
         {
-          "filename": "data.csv.gz",
+          "filename": "data_exemptions.csv.gz",
           "columns": [
             {
               "name": "time",
@@ -26283,7 +25338,7 @@
       "description": "A comprehensive study of medical vaccine exemption rates among U.S. kindergartners from 2009-2024, published in JAMA by Kiang et al. The study compiled exemption data from all 50 U.S. states and Washington, DC, providing state- and county-level medical exemption rates for MMR vaccination. The dataset spans prepandemic (2009-2019) and postpandemic (2020-2024) periods, enabling analysis of how exemption patterns changed over time and following the COVID-19 pandemic. Medical exemptions are granted when a physician determines that vaccination poses a health risk to a specific child, distinct from religious or philosophical exemptions. Values are rounded for privacy protection. The research was conducted in collaboration with NBC News and methodology is documented in an accompanying article. Full data and code are available on GitHub.",
       "standard_files": [
         {
-          "filename": "data_county.csv.gz",
+          "filename": "data.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26312,18 +25367,11 @@
               "description": "Percentage of kindergarten children with non-medical exemptions from MMR vaccination requirements",
               "measure_type": "Percent",
               "unit": "Percent"
-            },
-            {
-              "name": "is_state_estimate",
-              "short_name": "is_state_estimate",
-              "description": "",
-              "measure_type": "",
-              "unit": ""
             }
           ]
         },
         {
-          "filename": "data_state.csv.gz",
+          "filename": "data_county.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26352,11 +25400,18 @@
               "description": "Percentage of kindergarten children with non-medical exemptions from MMR vaccination requirements",
               "measure_type": "Percent",
               "unit": "Percent"
+            },
+            {
+              "name": "is_state_estimate",
+              "short_name": "is_state_estimate",
+              "description": "",
+              "measure_type": "",
+              "unit": ""
             }
           ]
         },
         {
-          "filename": "data.csv.gz",
+          "filename": "data_state.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26443,7 +25498,7 @@
       "description": "The CDC National Wastewater Surveillance System (NWSS) tracks measles virus RNA in wastewater samples from participating wastewater treatment facilities across the United States. Wastewater surveillance provides a complement to traditional clinical surveillance by detecting viral shedding in a community regardless of healthcare-seeking behavior. The measles wastewater surveillance program was expanded in response to the 2025 measles outbreak to provide early warning of community transmission. Data include detection rates (percentage of samples positive), detection counts, sample counts, and population served by participating sewersheds. Surveillance data are aggregated at state and national levels on a weekly basis. This approach can detect measles circulation before cases are clinically confirmed, supporting rapid public health response.",
       "standard_files": [
         {
-          "filename": "data_county.csv.gz",
+          "filename": "data.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26490,7 +25545,7 @@
           ]
         },
         {
-          "filename": "data.csv.gz",
+          "filename": "data_county.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26962,7 +26017,7 @@
       "description": "The Youth Risk Behavior Surveillance System (YRBSS) is a set of school-based surveys conducted by the CDC that monitor health-related behaviors among U.S. high school students. The biennial national, state, and local surveys provide weighted prevalence estimates of behaviors contributing to the leading causes of death and disability. Data were accessed via the YRBS Explorer API. Estimates are provided overall and stratified (separately, not crossed) by sex, race/ethnicity, and grade. Estimates that CDC suppressed (e.g., small sample sizes) are omitted rather than imputed. State estimates are available only for jurisdictions that share data with CDC; Minnesota, Oregon, and Washington are not included, and New York state excludes New York City.",
       "standard_files": [
         {
-          "filename": "data_age_ethnicity.csv.gz",
+          "filename": "data_age.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -26985,13 +26040,6 @@
               "measure_type": "category",
               "unit": ""
             },
-            {
-              "name": "race_ethnicity",
-              "short_name": "Race/Ethnicity",
-              "description": "Race/ethnicity category",
-              "measure_type": "category",
-              "unit": ""
-            },
             {
               "name": "pct_no_seatbelt",
               "short_name": "Did not always wear a seat belt",
@@ -28780,7 +27828,7 @@
           ]
         },
         {
-          "filename": "data_age_sex.csv.gz",
+          "filename": "data_age_ethnicity.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -28804,9 +27852,9 @@
               "unit": ""
             },
             {
-              "name": "sex",
-              "short_name": "Sex",
-              "description": "Sex category (Male, Female, Overall)",
+              "name": "race_ethnicity",
+              "short_name": "Race/Ethnicity",
+              "description": "Race/ethnicity category",
               "measure_type": "category",
               "unit": ""
             },
@@ -30598,7 +29646,7 @@
           ]
         },
         {
-          "filename": "data_age.csv.gz",
+          "filename": "data_age_sex.csv.gz",
           "columns": [
             {
               "name": "geography",
@@ -30621,6 +29669,13 @@
               "measure_type": "category",
               "unit": ""
             },
+            {
+              "name": "sex",
+              "short_name": "Sex",
+              "description": "Sex category (Male, Female, Overall)",
+              "measure_type": "category",
+              "unit": ""
+            },
             {
               "name": "pct_no_seatbelt",
               "short_name": "Did not always wear a seat belt",
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) 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Cv3aCgUIAQgIFID+lAgKCggBbAgIpAgIpAgAAAAD//D/8AS6BLoACQANABAAAAAyHwEWFA8BJzcTAScJAQUTA+AmDpkNDWPWXyL9mdYCZv4f/rNuBLoNmQ4mDlzWYP50/ZrWAmb8anABTwAAAAEAAAAABLAEsAAPAAABETMyFh0BITU0NjsBEQEhArz6FR384B0V+v4MBLACiv3aHRUyMhUdAiYCJgAAAAEADgAIBEwEnAAfAAABJTYWFREUBgcGLgE2NzYXEQURFAYHBi4BNjc2FxE0NgFwAoUnMFNGT4gkV09IQv2oWEFPiCRXT0hCHQP5ow8eIvzBN1EXGSltchkYEAIJm/2iKmAVGilucRoYEQJ/JioAAAACAAn/+AS7BKcAHQApAAAAMh4CFQcXFAcBFgYPAQYiJwEGIycHIi4CND4BBCIOARQeATI+ATQmAZDItoNOAQFOARMXARY7GikT/u13jgUCZLaDTk6DAXKwlFZWlLCUVlYEp06DtmQCBY15/u4aJRg6FBQBEk0BAU6Dtsi2g1tWlLCUVlaUsJQAAQBkAFgErwREABkAAAE+Ah4CFRQOAwcuBDU0PgIeAQKJMHt4dVg2Q3mEqD4+p4V4Qzhadnh5A7VESAUtU3ZAOXmAf7JVVbJ/gHk5QHZTLQVIAAAAAf/TAF4EewSUABgAAAETNjIXEyEyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAyABYRMT/p8RDPn+bxQLDPb3DAsUAZD7DBEAAv/TAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP+nxEM+f5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU+AT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR+Cg8PCvuCCg8PVWQCo/3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh/doKDw8KAiYKDw/872QDIGT8GGQDIGQETA8K++YKDw8KBBoKD2RkZA8K/qIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX+cBUdHQJtAZAVHR0V/nAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX+cBUdHQRMHRX+cBUdHRUBkBUdHRX+cBUdHRUBkBUd/agdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA/AE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3+cB0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH/oAICLEHFAirBxYB3QI7CAixBxQI/PAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI/vUBCwgIsggVB/70/vQHFQiyCAgBC/71CAiyCBUHAQwBDAcVBDuzCBUH/vT+9AcVCLIICAEL/vUICLIIFQcBDAEMBxUIsggI/vUBDAcAAwAX/+sExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj+1HeOYrSBTU2BAW+zmFhYmLOZWFj+vJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15/tUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF//rBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI+ATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K/qIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V/nAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P/t6WCg8PCpYKDw/+3pYKDw8KlgoPD/7elgoPDwqWCg8PBLAPCvuCCg8PCgR+Cg/+cA8K/RIKDw8KAu4KD/7UDwr+PgoPDwoBwgoPyA8K+goPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ/AjY/ASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ+frJ+BJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF+frEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD/u0DwoBEzspASwBLDsp/UQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT+1PzgKTs7KQMgZP1EArz9RAK8/UQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg/+1A8K+goPrwoFAmoCYAcH/aAICv3BCg8PCgF3/okKDw8KAj8KAAIAZAAAA+gEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V/OAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd/nAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnL+fDIKD68KDw8K+goPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr+7Q8KMgoPDwoBXgoPAAAAAAL/nAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp/eYBr9EVohTQ/p4b4BsBkP5wBLD+1AEs/nD+1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN/rkNCxS/HQJUMgoPDwr75goPDwoyCg8DhA8EsB0V/j4XEP5wEBABkBAXAcIVHfzgDwr+ogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K/u0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf+7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY/AT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX/dQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K/XQYGf5XDB4CBggEDRkBqRkYAowKDsgOC/4+Cw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJy/ov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2+DCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ+AjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL/pYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ+AjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L/pcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv+lwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB/AI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA/K4KDw8KA1IKDw/9CDIKDw8KMgoPD9IBwgoPDwr+PgoPD74yCg8PCjIKDw/SAcIKDw8K/j4KDw++MgoPDwoyCg8P0gHCCg8PCv4+Cg8PvjIKDw8KMgoPD9IBwgoPDwr+PgoPDwSwDwr7ggoPDwoEfgoPyA8K/K4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT/tRSdmQpOzspA4QpOzsp/ageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE+ATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH+WwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT++uSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF//tQKDw8KASx03qP9wAwI/jQIDAwIAcwIDAwI/jQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ/AScmND8BNjIXAUEBAgkMDAn+/hUZ+goPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg+EeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY/ATYBQQECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK/RIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd+hGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk/nBkAfQCvMjI/tTIZAJY+7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs/UQBLGRkZAOEZGT+DGRkAfT+1AEsA4RkZGQCWP4MZMgBLAEsyGT+1AEs/tQBLMhkZGT+DP4MAfRk/tRkZGRkyGTI/tQBLMhkZGT+1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI/OD+1AEsyGRkyGRkASzIyMgD6PwYA+j8GAPo/BgD6PwYA+j7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI/jAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAwYCqggI/jAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg/9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj//wRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4+/j4dBLAdFfuCAbz+QwR/FR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY/ATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2/kQLEAFOBw45BhcKAcIKFwY+DgdTARABVpYKFgROBBYK/doKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw/+sf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg/+cA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP/agOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE+BAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT+z76Hh76H/u9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K/7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE/AQEDIQMCqQGBFCgSJQkK/l81LBFS/nk6IgsJKjIe/pM4HAwaBwcBj6wBVKIEr/waMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu/VoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU+ATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD+DCk7AQYLFyEaAdc5dWM+Hy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb/K5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK/gy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL/tQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI+AzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn+cAQOIhoWyBkYJhMZCwgyA+j7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI/OCnpwMgpwACACH/tQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ/nAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V/agVHR0VA+gVHR0V/BgVHR0VAyAVHR0V/OAVHR0VBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V/UQVHR2zBEwVHR0V+7QVHR3dArwVHR0V/UQVHR2zBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V/agVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V/OAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3+6WQVHR0VZBUdHf7pZBUdHRVkFR0d/ulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA/AAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA/AE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd/tQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3+1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG/5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V/gwVHR3++qfIyAHCASwVHR0V/tQVHR0VAlgVHR0V/agVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V/gwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd+7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3+1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH/0SHywsBIT+1AEsA+gsH/12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs/NJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7+4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4+rWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab/G8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ+BQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ/f4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA+hsAgYUFR0OFgoFBmz9BQGQMje7/pApOzspAfQpO8i7o/5wpbm5Azj+lqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp/gwpOzsptsj+tKW5uaUBkKW5/tf+ljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml/nClubkCfwFTCAj+rAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn+DCk7OymZZ6W5uaUBkKW5G/7TBxUH/s4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX+cKW5uQHKAYsHFQdlBwf97QcVB/gHB2UHFQdvCBQETBexOyn+DCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH+AcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE+AQgIFAgBBAcFCqrICggBCAgI/vgICsiqCgUH/vwIFAj++AgFCq/ICgj++AgIAQgICsivCgUDlgEICAj++AgKyK0KBAf+/AcVB/73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ/+MB0VZBUdHQRMHRX+SgHFDggV/BgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ/+MBUP/jAdFWQVHR0ETB0V/koBxQ4IFf5KAcUOCBX8GBUIDgHF/koVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ/+MBUP/hQPDwHsDxUB0A8VBBr8GBUIDgHF/koVCA4B4A4qDgHgDggV/koBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS/NISGRkEMv4OCx4L/g4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2+sgVHR0VyBUdHQGlyBUdHRXIFR0dA+gdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw/+FA8V/jAPFRUPAmQBthUIDv4gDioO/iAOCBUBtv47DggVA+gVCA4AAAH//gACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL+MQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX+OQ4JFAPoFQkP/j4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA+gVCA7+OwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW++4WCQ8B9Q8q/fcD6BUdHRX8GBUdHQQ5/eQPFhYPAhwP/UgdFWQVHR0VZBUdAAEAiP/8A3UESgAFAAAJAgcJAQN1/qABYMX92AIoA4T+n/6fxgIoAiYAAAAAAQE7//wEKARKAAUAAAkBJwkBNwQo/dnGAWH+n8YCI/3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4+rWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX+DBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm/5+HRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI/ARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ+AQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB/IHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm/4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ+AQUiDgMVFDsBFjc+ATMyFhUUBgciDgUHBhY7ATI+AzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ/eMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD/7UDwoyCg/IDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw+5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP/s2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA/AAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJyg2oHB/7ACBQIyggIagcVB0/FBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf+vwcHywcVB2oICE/FBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ+AQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV/t0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA/kAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ/AgoQEP32EBf92hUdHRUCJhcD8f5VDSYN/lUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3+3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN/lUNJg3+VQ0KFQEjHQSwHRX92hcQ/fYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ/AgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN/lUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I/iH+1BUdFQ5e+QgUCGoHB/leDggEsB0V/tQVCA5e+QcHaggUCPleDhX7UB0VASwVCA5e+QcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ/AScmNgP2agcH+V4OCBX+1BUdFQ5e+QgU/QwBLBUdFQ5e+QgUCGoHB/leDggEYGoIFAj5Xg4VHRUBLBUIDl75B/3xHRX+1BUIDl75BwdqCBQI+V4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3+DA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc+BAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP/nDI/nAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe/okKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf+iQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc+ATc+AScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy/t3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U/M0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc+ATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY+BDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA//cAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl+DiINfWjIWCwQMWv3/Iw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP/cAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ+BTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2/VFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP/ngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U/BQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR/plkGhPNzRMaZP6ZERgWDwFrBLBYPv6t/rsOMRQpFA0M+f75XRRAFRAJgIAJEBVAFF0BB/kMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA/AEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk/HxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd/nD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb/kPD/kOFZ/9qP7dFR0dFdECWPEV/amNetEVHR0VASMDGvkPD/kOFfG1jXqfFQSN5g4qDuYOCBWW/agdFWQVHQJYlhUI/piNeh0VZBUd/k3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7/tQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3+1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6+hUdHRX6+hUd/nD+1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB//8A1ARMA8IABQAAAQcJAScBBEzG/p/+n8UCJwGbxwFh/p/HAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH/p8BYQAAAAAC/1EAZAVfA+gAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW/oP+HOYOCBWWAYHX/RIVHZYVCA7mDioD6B0V/dkVDvkPD/kOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3+1B0qHR8SHQYFyTYUHh4EsBYQoiUY/iUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw+1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz+1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY/ATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO+Q8P+Q4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ/5Dg75DxUCWBUDYOUPKQ/lDwkUl5cUCQ/lDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt/BgpOzspA+gpOzv+q2RkZAGQAtwXLSgV/R1kOylkKTs7KWQpO8hkZGRkAAAAA/+cAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k/V0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj+7BAIHBUBUQ76AgQQDw36/tT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM+ATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU+LwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N/rmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI+ARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW+v4+Mv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3+qBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv/tQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo/rgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl+IZJZkMjIBwvoETCEY/qgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX+DBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP/qoHphwOOmQBJYMGGw/LFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7+rRUoog0CDRElCkj+CVkBUxUoMjIBAgIDBQIZFrdT5B0V/gwVHR0VAfQVHQAAAAP/nABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf+qg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH+Jd0PHAaCASZq/qoCUGQVHR0VZBUdHQRP5gEFEBEXC/3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE+AR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN/fMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V/gwVHR0FDm5UaoMGGw/+qgemHA4OAWsfFm4NAQxUAS5U1ssVExIW/jgCCgIJAwcDBQMBDBGSVv6tZAElgwYb/QsdFWQVHR0VZBUdAAP//QAGA+gFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM+BDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX+DBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf+qg8bBgHP/q1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob+7RAX/u0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm/453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX+7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm+jfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm/5AARMQEP7tEBf+7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg+JFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD+7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ+ASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY+ATc+AzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU/OR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg/KhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh+WYcrIgsW/awQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA+gpOzsp/BgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH+1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E/tTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv+DMj+DDspASw7KcgB9Dsp/BgpOwSwOylkOyn+cGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj+L2oHB8deDggV/tQVHRUOXscIFALLXg4VHRX+1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX+1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX+1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5/d8t2gXl6gAcbgv29vv+C/b2/+LS0gIC0gAUwtICAWDg83ETNIMykfegEJ/octICAtIAIdLSAgLSAEqF+f3fLdoF5eoN3y3Z9Xb7/gv29vv+C/BiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf/YAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr+qw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB/0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH/6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6+RAH/SBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg+PqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB/slVVsn+AeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn/8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ/ARYfAQcXAQKru0KNQjgiHR8uEl/3/nvUaRONQkIBGxJpCgmNQkL+5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl/4/nvUahKNQrpCARv+RmkICY1CukL+5UJCjUK7Qjc3LxFf+AGFAAAAAAMAyAAAA+gEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7/Vj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8/RY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT+6dT+zP7oywEz0gEsAQsjDx0qBKH+5g8qHQ8j/vX+1NL+zcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH/s0NBxMtPGQ+i6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ/soCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc+ATM2FjMyNxcOAyMiLgEHDgEPASc+BTc+AScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig/IhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn//wSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF+YOCBWWyJYVCA7mDioBLBYO+g8P+g4WA4QQ+Q4V/HwDhBUO+Q8AAAQAGf//A+gEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI/tTIyAEsArxkZAH0/HwWDvoPD/oOFgOEZMjI/RL6ZJb6ZAAAAAAEABn//wPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO+g8P+g4WA4SW+mSW+mT7UGRkAfRkyMgAAAAEABn//wRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD/oOFgOE/gwBkGT7UGQBkGTIyAAAAAAEABn//wRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD/oOFgOE/gxkAZBkyMj7tAGQZAAAAAAFABn//wSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk/nABkGT+DAH0ASwWDvoPD/oOFgOEyMj+DMj+DMj+DMgABQAZ//8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD+DAH0ZP5wAZBk/tQBLGTIyAEsFg76Dw/6DhYDhMjI/gzI/gzI/gzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P+cKW5uQJn/gwpOzspAfQpOzsETLuj/nClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml/nCju7wCZP4MKTs7KQH0KTs7/m/9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn+DCk7OykB9Ck7gr4MJAy+DAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX+cKW5uQJn/gwpOzspAfQpOzv+FQGQFQsMvgwkDL4MCwRMvKL+cKW5uaUBkKO7yDsp/gwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf+DCk7OykB9Ck7O/77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn+DCk7OykB9Ck7z/0QGBgQ/REAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX+cBUdHRUBwik7Oyn+PhUdHb8BRBAQ/rwQFvoVHR0V+hYETLml/nCluR0VZBUdOykB9Ck7HRVkFR3p/uQOJg7+5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B/vf+8wQMDgkJCQUCUCcn/tIXCAoQSwENuwUJEASeCQoRC/5TBwEjEv7K/sUFDwgLFQnlbm4TFRRWAS/TBhAAAAACAAAAAAT+BEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4+KTs7KQHCFR0dFf5wpbm5AvEBRBAQ/rwQFvoVHR0V+hYETB0VZBUdOyn+DCk7HRVkFR25pQGQpbnp/uQOJg7+5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj+75wpOzspAfQpO8i7o/5wpbm5pQEsBLAdFf5wFQgObf7IDw+NDykPAThtDhX+1Dsp/gwpOzsplMj+1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx/nugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO/oEOJw3+hQ0JFfod/oUD6BUd+7QdA2dkBLAdFf6iFg/+Vg8PAaoPFgFeFR38fB0V+voVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE+AQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n/fkD6BUd+7QdA2dkBJ7+TQ8g+hQeHRX6IQ8BrxAC/H8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB/7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH/fMICAEjCBQIiwcH/dIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY/ASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A+gVHfu0HQNnZAP/jg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V+voVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ/AQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A+gVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3+WB0V+voVHWQyMgACAAT/7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d/sb+cQSs/TMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V+gH0ZMhkZAPo/K4VHQGQ/nAdFQPoFB7+1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC/tVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf+XAgUCMoICGoHFQdPASkHFQPolf7VXwkJk/5wHRUD6BQe/tQBLMjI/c5qBxUH/lsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72/reWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykD6P7zZ4YPAw7+9v5wHRUD6BQe/tQBLMjI/YxGDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM/qIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA+j+1B0Vlv5wHRUD6BQe/tQBLMjI/agdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75/m6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P/vf+cB0VA+gUHv7UASzIyP2F5Q8V+hQeHhT6FQ/lDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd+1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U/doVHR0VAib+1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX+cAGQFf0vMhUdHRUyyGRk/oL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI/oUdFWQVHcjI/cvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ+AzMyFh8BETMRPAE+AjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX+4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH/uuFR0dFQGNAQgbHzUeAWcfRJEZDA3+Phw/MSkLC/5BFR0dFQG/BA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn+DBlL/nAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr+diUNODgBBQoUDgN4FhkBAjg4DSX+dgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn+2cj+cGQBd/4lASwpOzsp/tQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn+DCk7OykB9Ck7ZMjI/veFo4XGyMhm+BUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE+BRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB/LimdWQ/LAkJHRTKFB2N/sKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V+7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy/tEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI/OAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7/Rv+1DspZCk7BEw7KfwYA+gpO/7UOyn9RAK8KTv84AGQKTs7KQAAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkyMhkZARMsHz+DHywsHwB9HywyP1EArzIZP7UZGQBLGT+1GQB9GT+1AEsAAAABf+cAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE/gxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI/UQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP+cAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj+1AEsAZDIyP7UASwETLB8/gx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP+cAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE/gz+1AEsAZD+1ARMsHz+DHywsHwB9HywyP1EArz+DJaWlpYBLAAAAAX/nAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8/gx8sLB8AfR8sMj9RAK8/agB9GRWQUFUASz+1FRBQVYAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkZMjIZGQETLB8/gx8sLB8AfR8sMj9RAK8yGT+1GRkASz+DAGQZP4MZAAG/5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8/UR8sLAYA4T9RMj+1GQCWGRkyP2oZAEsZGQETLB8/gx8sLB8AfR8sMj9RAK8yP5wAfT+DAGQZMjIyP7UZAAF/5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI/UQCvP5wyDLIlmT+DAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz+1AEs/tRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv/y/50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V/tQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi/bMPCv7tFxD0EBD0EBcBEwoPAAAAAAL/8v+cBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr+hg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ+teGOkHAFoEBD+k3NPRWsOExNkqWP9kuQQF/7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD+8qr+8qr+1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3+s/7U/tRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd/tQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd+x5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc+ATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ/j0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb/7V/tVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s/oQPCgI/ASzIZKLU1KJktP51Cg8DhA8KwwMg/oTIyALzCg/+1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz+ov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9+AFe/doERwoP/tTI/HzIyNT+ZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT+ogHCJCsRBP5w/nAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX+1BUdHRUyHQFzKTs7Kf2oARP2/ro7KVg+ASw+WP201MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7KfzgKTsE9gFGAUQpO5Y+WFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG/2oKTs7KVg+ASw+WAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7Kf4M/tQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP/ogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs+wQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf+TB0U/tIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K+goPDwr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPDwRMDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg/+1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko/PwoKUIcMT4BXmRkyP4+ArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3+1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq/9WrIiCikBSAOvArwVHR0VlgET/EoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb+lR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf+vCcrI/7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW/us5Okxra0w6Of5yHSodZGQdKh3+1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ/68Jysj/s0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2+jGv4KOTpMa2tMOjn+ch0qHWRkHSod/tQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ+AjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz+1CU/P00T/e48PUJtj0r+ogK8FR0dFQ2K/EqJDBUdHbMETBUd+1AdBLChizlmUT9IGVO9VFShdksE/H4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA+gFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U/5wU3V1BRQ7KU4aXDYyMjZcGk4p/kc2LmRkZGRkU3V1UwGQU3UAAAMAZP//BEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr+5eANGiUNWP30Vw0mGg3g/t8KDw8BqmQBRGQETB0V/gwVHR0VAfQVHf1EDwoyCg/gDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn+1AEsKTv+DDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg/4f/fsgIAEnH1n+rAFWAS/+q6IDIBUd/HwdBI39VR9ZH4MCBh9ZHwEoH/5u/qoBMAFV/BsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV/nAVJwi9CBMVAnEdKh19FROo/a0dFTIdFTDILxUdMhUdAocB+hMcHBP+BhMclhUdHRWWHP2MMhUdMhUdASz+1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr+if7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD/7UyP4M/cEKDw8KA7YKD/7UyAAC/5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc+ARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF+goPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb/nP/mBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL/CtqQ0geZgM3FR0cE/0fFyIJKjr+1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g+yD5YrBwVODMQEAtEERzJLUAtLUD+24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz++QFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg/+1MgVHR0LCgQOIhoW/nDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb+YDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj/sIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn+PilUrAFINhWWFTYFFKxn/gwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn+PilUrAFINhWWFTYFFJaz/kIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO/YL+hk5klpZkAQEBBQQvkwKCAVz+ov6iAV4BXgL//uWqPOCWx5SVyJb6BA0GCgYDKEEBG/1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz+yFh8WFh8/shYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP/nAPCpYKDw8KlgoP/nAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o/4Mpbm5Asv9qCk7OykCWCk7O/2xAfQVHR0V/gwVHR1HAZAEsLuj/gylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX+1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA+gVHR0VMjIVHR0VMjIVHR0VMjIVHR0V/BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA+gEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8/V1c/P/75fLB8sAK8sHyw/cB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy/sCwfLB8fLB8sP7UsHywfHywfLD+05AVHR0VjgQAAAH/tQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8I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-<pre class="mermaid"><code>flowchart LR
-    classDef pass stroke:#66bb6a
-    classDef warn stroke:#ffa726
-    classDef fail stroke:#f44336
-    s0(&quot;`&lt;h4&gt;&lt;a href=&quot;https://data.cdc.gov&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Center for Disease Control and Prevention&lt;/a&gt;&lt;/h4&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://data.cdc.gov/resource/qvzb-qs6p/&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;)
-    s1(&quot;`&lt;h4&gt;&lt;a href=&quot;https://cosmos.epic.com/&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Epic Cosmos&lt;/a&gt;&lt;/h4&gt;`&quot;)
-    s2(&quot;`&lt;h4&gt;&lt;a href=&quot;https://trends.google.com&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Google Trends&lt;/a&gt;&lt;/h4&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://github.com/DISSC-yale/gtrends_collection&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Yale Data-Intensive Social Sciences, Google Trends Collection Framework&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;)
-    s3(&quot;`&lt;h4&gt;&lt;a href=&quot;https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Center for Disease Control and Prevention (NCHS)&lt;/a&gt;&lt;/h4&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://data.cdc.gov/National-Center-for-Health-Statistics/VSRR-Provisional-Drug-Overdose-Death-Counts/xkb8-kh2a/about_data&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;VSRR Provisional Drug Overdose Death Counts&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://data.cdc.gov/National-Center-for-Health-Statistics/VSRR-Provisional-Drug-Overdose-Death-Counts/xkb8-kh2a/about_data&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;VSRR Provisional Drug Overdose Death counts&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;)
-    s4(&quot;`&lt;h4&gt;&lt;a href=&quot;https://www.cdc.gov/nwss&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;National Wastewater Surveillance System&lt;/a&gt;&lt;/h4&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://www.cdc.gov/nwss/rv/COVID19-statetrend.html&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Wastewater COVID-19 State and Territory Trends&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://www.cdc.gov/nwss/rv/InfluenzaA-statetrend.html&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Wastewater Influenza A State and Territory Trends&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br/&gt;&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;&lt;a href=&quot;https://www.cdc.gov/nwss/rv/RSV-statetrend.html&quot; target=&quot;_blank&quot; rel=&quot;noreferrer&quot;&gt;Wastewater RSV State and Territory Trends&lt;/a&gt;&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;)
-    subgraph abcs[&quot;`abcs`&quot;]
-        direction LR
-        n1[&quot;`data.csv.gz`&quot;]:::pass
-        n2[&quot;`uad.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: N_SSUAD&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph brfss[&quot;`brfss`&quot;]
-        direction LR
-        n3[&quot;`data.csv.gz`&quot;]:::pass
-    end
-    subgraph delphi_doctors_claims[&quot;`delphi_doctors_claims`&quot;]
-        direction LR
-        n4[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: delphi_doc_covid_smooth&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph delphi_hospital_claims[&quot;`delphi_hospital_claims`&quot;]
-        direction LR
-        n5[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: delphi_hospital_covid_smooth&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph delphi_nhsn[&quot;`delphi_nhsn`&quot;]
-        direction LR
-        n6[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: delphi_nhsn_covid&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n6[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: delphi_nhsn_flu&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n6[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: delphi_nhsn_rsv&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph epic[&quot;`epic`&quot;]
-        direction LR
-        n7[&quot;`children.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;time_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n8[&quot;`county_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;time_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n8[&quot;`county_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: percentage_with_base_patient_followed_by_hemoglobin_a1c_6.5%_or_more_within_10_years_(%)&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n9[&quot;`no_geo.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: positive_rsv_tests_(%)&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n10[&quot;`state_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;time_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n10[&quot;`state_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: n_self_harm&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n10[&quot;`state_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: n_patients&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n10[&quot;`state_no_time.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: percentage_with_base_patient_followed_by_hemoglobin_a1c_6.5%_or_more_within_10_years_(%)&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n11[&quot;`weekly.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: epic_positive_rsv_tests_(%)&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n11[&quot;`weekly.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: epic_rsv_tests&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n11[&quot;`weekly.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: epic_n_rsv_tests&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph gtrends[&quot;`gtrends`&quot;]
-        direction LR
-        n12[&quot;`data_dma.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;geography_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n12[&quot;`data_dma.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: fips&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n12[&quot;`data_dma.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n12[&quot;`data_dma.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: term&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n13[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: gtrends_rsv_adjusted&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph nchs_mortality[&quot;`nchs_mortality`&quot;]
-        direction LR
-        n14[&quot;`data_county.csv.gz`&quot;]:::pass
-        n15[&quot;`data.csv.gz`&quot;]:::pass
-    end
-    subgraph nis[&quot;`nis`&quot;]
-        direction LR
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;time_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: insurance&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: birth_year&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: vaccine&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value_lcl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value_ucl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n16[&quot;`data_insurance.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: sample_size&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;time_missing&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: urban&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: birth_year&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: vaccine&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value_lcl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value_ucl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n17[&quot;`data_urban.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: sample_size&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: birth_year&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: age&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: vaccine&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: pct_uptake&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: pct_uptake_lcl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: pct_uptake_ucl&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n18[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: sample_size&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph NREVSS[&quot;`NREVSS`&quot;]
-        direction LR
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: source&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: scaled_cases&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: pcr_detections&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: epiyr&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: epiwk&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: week&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n19[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: year&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph nssp[&quot;`nssp`&quot;]
-        direction LR
-        n20[&quot;`data.csv.gz`&quot;]:::pass
-    end
-    subgraph respnet[&quot;`respnet`&quot;]
-        direction LR
-        n21[&quot;`data.csv.gz`&quot;]:::pass
-    end
-    subgraph schoolvaxview[&quot;`schoolvaxview`&quot;]
-        direction LR
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;geography_nas&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: grade&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: N&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: vax&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: percent_surveyed&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n22[&quot;`data_exemptions.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: survey_type&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;geography_nas&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: grade&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: N&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: vax&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: value&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: percent_surveyed&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-        n23[&quot;`data.csv.gz&lt;ul&gt;&lt;br/&gt;&lt;li&gt;&lt;code&gt;missing_info: survey_type&lt;/code&gt;&lt;/li&gt;&lt;/ul&gt;`&quot;]:::warn
-    end
-    subgraph wastewater[&quot;`wastewater`&quot;]
-        direction LR
-        n24[&quot;`data.csv.gz`&quot;]:::pass
-    end
-    subgraph bundle_childhood_immunizations[&quot;`bundle_childhood_immunizations`&quot;]
-        direction LR
-        n25[&quot;`mmr_rates_epic.parquet`&quot;]
-        n26[&quot;`nis_insurance.parquet`&quot;]
-        n27[&quot;`nis_overall.parquet`&quot;]
-        n28[&quot;`nis_urban.parquet`&quot;]
-        n29[&quot;`schoolvaxview_exemptions.parquet`&quot;]
-        n30[&quot;`schoolvaxview_overall.parquet`&quot;]
-        n31[&quot;`state_compare.parquet`&quot;]
-    end
-    subgraph bundle_chronic_diseases[&quot;`bundle_chronic_diseases`&quot;]
-        direction LR
-        n32[&quot;`brfss_prevalence_by_geography.parquet`&quot;]
-        n33[&quot;`epic_prevalence_by_geography_county.parquet`&quot;]
-        n34[&quot;`epic_prevalence_by_geography.parquet`&quot;]
-        n35[&quot;`prevalence_by_geography_and_source.parquet`&quot;]
-    end
-    subgraph bundle_respiratory[&quot;`bundle_respiratory`&quot;]
-        direction LR
-        n36[&quot;`covid_ed_visits_by_county.parquet`&quot;]
-        n37[&quot;`covid_overall_trends.parquet`&quot;]
-        n38[&quot;`covid_trends_by_age.parquet`&quot;]
-        n39[&quot;`flu_ed_visits_by_county.parquet`&quot;]
-        n40[&quot;`flu_overall_trends.parquet`&quot;]
-        n41[&quot;`flu_trends_by_age.parquet`&quot;]
-        n42[&quot;`pneumococcus_by_geography.parquet`&quot;]
-        n43[&quot;`pneumococcus_comparison.parquet`&quot;]
-        n44[&quot;`pneumococcus_serotype_trends.parquet`&quot;]
-        n45[&quot;`rsv_ed_visits_by_county.parquet`&quot;]
-        n46[&quot;`rsv_google_dma.parquet`&quot;]
-        n47[&quot;`rsv_overall_trends.parquet`&quot;]
-        n48[&quot;`rsv_positive_tests.parquet`&quot;]
-        n49[&quot;`rsv_testing_pct.parquet`&quot;]
-        n50[&quot;`rsv_trends_by_age.parquet`&quot;]
-    end
-    s0 --&gt; n1
-    s0 --&gt; n2
-    s1 --&gt; n7
-    s1 --&gt; n8
-    s1 --&gt; n9
-    s1 --&gt; n10
-    s1 --&gt; n11
-    s2 --&gt; n13
-    s3 --&gt; n14
-    s3 --&gt; n15
-    s4 --&gt; n24
-    n23 --&gt; bundle_childhood_immunizations
-    n22 --&gt; bundle_childhood_immunizations
-    n18 --&gt; bundle_childhood_immunizations
-    n17 --&gt; bundle_childhood_immunizations
-    n16 --&gt; bundle_childhood_immunizations
-    n7 --&gt; bundle_childhood_immunizations
-    n3 --&gt; bundle_chronic_diseases
-    n10 --&gt; bundle_chronic_diseases
-    n11 --&gt; bundle_respiratory
-    n13 --&gt; bundle_respiratory
-    n24 --&gt; bundle_respiratory
-    n1 --&gt; bundle_respiratory
-    n2 --&gt; bundle_respiratory
-    n19 --&gt; bundle_respiratory
-    n20 --&gt; bundle_respiratory
-    n21 --&gt; bundle_respiratory</code></pre>
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