ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,502,832 rows sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
These facets timed out: county, fips
state >30
- Texas 14,247
- Georgia 11,449
- Virginia 8,884
- Kentucky 7,519
- North Carolina 6,908
- Missouri 6,757
- Tennessee 6,702
- Indiana 6,658
- Illinois 6,592
- Ohio 6,271
- Iowa 6,173
- Mississippi 5,964
- Michigan 5,688
- Minnesota 5,551
- Arkansas 5,176
- Kansas 5,156
- Florida 5,150
- Pennsylvania 4,938
- Louisiana 4,818
- Wisconsin 4,810
- Alabama 4,809
- Oklahoma 4,775
- California 4,618
- New York 4,570
- Colorado 4,367
- Nebraska 3,918
- South Carolina 3,474
- West Virginia 3,324
- Washington 3,124
- South Dakota 3,063
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
203000 | 203000 | 2020-06-03 | Autauga | Alabama | 1001 | 240 | 5 |
203001 | 203001 | 2020-06-03 | Baldwin | Alabama | 1003 | 308 | 9 |
203002 | 203002 | 2020-06-03 | Barbour | Alabama | 1005 | 178 | 1 |
203003 | 203003 | 2020-06-03 | Bibb | Alabama | 1007 | 79 | 1 |
203004 | 203004 | 2020-06-03 | Blount | Alabama | 1009 | 65 | 1 |
203005 | 203005 | 2020-06-03 | Bullock | Alabama | 1011 | 216 | 6 |
203006 | 203006 | 2020-06-03 | Butler | Alabama | 1013 | 421 | 18 |
203007 | 203007 | 2020-06-03 | Calhoun | Alabama | 1015 | 173 | 3 |
203008 | 203008 | 2020-06-03 | Chambers | Alabama | 1017 | 371 | 26 |
203009 | 203009 | 2020-06-03 | Cherokee | Alabama | 1019 | 39 | 3 |
203010 | 203010 | 2020-06-03 | Chilton | Alabama | 1021 | 109 | 1 |
203011 | 203011 | 2020-06-03 | Choctaw | Alabama | 1023 | 154 | 10 |
203012 | 203012 | 2020-06-03 | Clarke | Alabama | 1025 | 150 | 2 |
203013 | 203013 | 2020-06-03 | Clay | Alabama | 1027 | 28 | 2 |
203014 | 203014 | 2020-06-03 | Cleburne | Alabama | 1029 | 15 | 1 |
203015 | 203015 | 2020-06-03 | Coffee | Alabama | 1031 | 242 | 1 |
203016 | 203016 | 2020-06-03 | Colbert | Alabama | 1033 | 190 | 2 |
203017 | 203017 | 2020-06-03 | Conecuh | Alabama | 1035 | 41 | 1 |
203018 | 203018 | 2020-06-03 | Coosa | Alabama | 1037 | 40 | 1 |
203019 | 203019 | 2020-06-03 | Covington | Alabama | 1039 | 86 | 1 |
203020 | 203020 | 2020-06-03 | Crenshaw | Alabama | 1041 | 81 | 3 |
203021 | 203021 | 2020-06-03 | Cullman | Alabama | 1043 | 154 | 1 |
203022 | 203022 | 2020-06-03 | Dale | Alabama | 1045 | 125 | 0 |
203023 | 203023 | 2020-06-03 | Dallas | Alabama | 1047 | 287 | 3 |
203024 | 203024 | 2020-06-03 | DeKalb | Alabama | 1049 | 261 | 3 |
203025 | 203025 | 2020-06-03 | Elmore | Alabama | 1051 | 383 | 9 |
203026 | 203026 | 2020-06-03 | Escambia | Alabama | 1053 | 75 | 3 |
203027 | 203027 | 2020-06-03 | Etowah | Alabama | 1055 | 266 | 12 |
203028 | 203028 | 2020-06-03 | Fayette | Alabama | 1057 | 18 | 0 |
203029 | 203029 | 2020-06-03 | Franklin | Alabama | 1059 | 581 | 8 |
203030 | 203030 | 2020-06-03 | Geneva | Alabama | 1061 | 44 | 0 |
203031 | 203031 | 2020-06-03 | Greene | Alabama | 1063 | 95 | 4 |
203032 | 203032 | 2020-06-03 | Hale | Alabama | 1065 | 183 | 9 |
203033 | 203033 | 2020-06-03 | Henry | Alabama | 1067 | 81 | 2 |
203034 | 203034 | 2020-06-03 | Houston | Alabama | 1069 | 236 | 5 |
203035 | 203035 | 2020-06-03 | Jackson | Alabama | 1071 | 86 | 3 |
203036 | 203036 | 2020-06-03 | Jefferson | Alabama | 1073 | 1913 | 104 |
203037 | 203037 | 2020-06-03 | Lamar | Alabama | 1075 | 26 | 0 |
203038 | 203038 | 2020-06-03 | Lauderdale | Alabama | 1077 | 170 | 2 |
203039 | 203039 | 2020-06-03 | Lawrence | Alabama | 1079 | 52 | 0 |
203040 | 203040 | 2020-06-03 | Lee | Alabama | 1081 | 573 | 34 |
203041 | 203041 | 2020-06-03 | Limestone | Alabama | 1083 | 110 | 0 |
203042 | 203042 | 2020-06-03 | Lowndes | Alabama | 1085 | 261 | 12 |
203043 | 203043 | 2020-06-03 | Macon | Alabama | 1087 | 88 | 4 |
203044 | 203044 | 2020-06-03 | Madison | Alabama | 1089 | 367 | 4 |
203045 | 203045 | 2020-06-03 | Marengo | Alabama | 1091 | 175 | 6 |
203046 | 203046 | 2020-06-03 | Marion | Alabama | 1093 | 128 | 11 |
203047 | 203047 | 2020-06-03 | Marshall | Alabama | 1095 | 709 | 9 |
203048 | 203048 | 2020-06-03 | Mobile | Alabama | 1097 | 2293 | 118 |
203049 | 203049 | 2020-06-03 | Monroe | Alabama | 1099 | 45 | 2 |
203050 | 203050 | 2020-06-03 | Montgomery | Alabama | 1101 | 1845 | 44 |
203051 | 203051 | 2020-06-03 | Morgan | Alabama | 1103 | 303 | 1 |
203052 | 203052 | 2020-06-03 | Perry | Alabama | 1105 | 42 | 0 |
203053 | 203053 | 2020-06-03 | Pickens | Alabama | 1107 | 121 | 5 |
203054 | 203054 | 2020-06-03 | Pike | Alabama | 1109 | 209 | 0 |
203055 | 203055 | 2020-06-03 | Randolph | Alabama | 1111 | 131 | 7 |
203056 | 203056 | 2020-06-03 | Russell | Alabama | 1113 | 179 | 0 |
203057 | 203057 | 2020-06-03 | Shelby | Alabama | 1117 | 541 | 20 |
203058 | 203058 | 2020-06-03 | St. Clair | Alabama | 1115 | 138 | 1 |
203059 | 203059 | 2020-06-03 | Sumter | Alabama | 1119 | 229 | 7 |
203060 | 203060 | 2020-06-03 | Talladega | Alabama | 1121 | 122 | 5 |
203061 | 203061 | 2020-06-03 | Tallapoosa | Alabama | 1123 | 437 | 66 |
203062 | 203062 | 2020-06-03 | Tuscaloosa | Alabama | 1125 | 831 | 16 |
203063 | 203063 | 2020-06-03 | Walker | Alabama | 1127 | 391 | 2 |
203064 | 203064 | 2020-06-03 | Washington | Alabama | 1129 | 74 | 6 |
203065 | 203065 | 2020-06-03 | Wilcox | Alabama | 1131 | 155 | 7 |
203066 | 203066 | 2020-06-03 | Winston | Alabama | 1133 | 92 | 0 |
203067 | 203067 | 2020-06-03 | Anchorage | Alaska | 2020 | 258 | 4 |
203068 | 203068 | 2020-06-03 | Bethel Census Area | Alaska | 2050 | 3 | 0 |
203069 | 203069 | 2020-06-03 | Bristol Bay plus Lake and Peninsula | Alaska | 2997 | 1 | 0 |
203070 | 203070 | 2020-06-03 | Dillingham Census Area | Alaska | 2070 | 1 | 0 |
203071 | 203071 | 2020-06-03 | Fairbanks North Star Borough | Alaska | 2090 | 85 | 2 |
203072 | 203072 | 2020-06-03 | Juneau City and Borough | Alaska | 2110 | 33 | 0 |
203073 | 203073 | 2020-06-03 | Kenai Peninsula Borough | Alaska | 2122 | 63 | 1 |
203074 | 203074 | 2020-06-03 | Ketchikan Gateway Borough | Alaska | 2130 | 16 | 0 |
203075 | 203075 | 2020-06-03 | Kodiak Island Borough | Alaska | 2150 | 1 | 0 |
203076 | 203076 | 2020-06-03 | Matanuska-Susitna Borough | Alaska | 2170 | 34 | 1 |
203077 | 203077 | 2020-06-03 | Nome Census Area | Alaska | 2180 | 3 | 0 |
203078 | 203078 | 2020-06-03 | North Slope Borough | Alaska | 2185 | 1 | 0 |
203079 | 203079 | 2020-06-03 | Northwest Arctic Borough | Alaska | 2188 | 2 | 0 |
203080 | 203080 | 2020-06-03 | Petersburg Borough | Alaska | 2195 | 3 | 0 |
203081 | 203081 | 2020-06-03 | Prince of Wales-Hyder Census Area | Alaska | 2198 | 2 | 0 |
203082 | 203082 | 2020-06-03 | Sitka City and Borough | Alaska | 2220 | 2 | 0 |
203083 | 203083 | 2020-06-03 | Southeast Fairbanks Census Area | Alaska | 2240 | 3 | 0 |
203084 | 203084 | 2020-06-03 | Unknown | Alaska | 1 | 0 | |
203085 | 203085 | 2020-06-03 | Valdez-Cordova Census Area | Alaska | 2261 | 3 | 0 |
203086 | 203086 | 2020-06-03 | Yukon-Koyukuk Census Area | Alaska | 2290 | 1 | 0 |
203087 | 203087 | 2020-06-03 | Apache | Arizona | 4001 | 1586 | 45 |
203088 | 203088 | 2020-06-03 | Cochise | Arizona | 4003 | 94 | 5 |
203089 | 203089 | 2020-06-03 | Coconino | Arizona | 4005 | 1186 | 85 |
203090 | 203090 | 2020-06-03 | Gila | Arizona | 4007 | 37 | 2 |
203091 | 203091 | 2020-06-03 | Graham | Arizona | 4009 | 41 | 2 |
203092 | 203092 | 2020-06-03 | Greenlee | Arizona | 4011 | 8 | 1 |
203093 | 203093 | 2020-06-03 | La Paz | Arizona | 4012 | 91 | 2 |
203094 | 203094 | 2020-06-03 | Maricopa | Arizona | 4013 | 11068 | 466 |
203095 | 203095 | 2020-06-03 | Mohave | Arizona | 4015 | 422 | 47 |
203096 | 203096 | 2020-06-03 | Navajo | Arizona | 4017 | 1994 | 67 |
203097 | 203097 | 2020-06-03 | Pima | Arizona | 4019 | 2627 | 196 |
203098 | 203098 | 2020-06-03 | Pinal | Arizona | 4021 | 940 | 39 |
203099 | 203099 | 2020-06-03 | Santa Cruz | Arizona | 4023 | 460 | 1 |
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CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);