ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
52,312 rows where state = "Alabama" sorted by date descending
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fips >30
county >30
- Elmore 791
- Jefferson 791
- Limestone 791
- Montgomery 791
- Tuscaloosa 791
- Baldwin 790
- Lee 789
- Shelby 789
- Madison 787
- St. Clair 787
- Calhoun 786
- Talladega 786
- Chambers 785
- Mobile 785
- Walker 785
- Cullman 784
- Jackson 784
- Lamar 784
- Lauderdale 784
- Washington 784
- Marion 783
- Franklin 781
- Houston 781
- Tallapoosa 781
- Autauga 780
- Morgan 780
- Blount 779
- Butler 779
- Cherokee 779
- Chilton 779
- …
state 1
- Alabama · 52,245 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2496317 | 2496317 | 2022-05-12 | Autauga | Alabama | 1001 | 15860 | 216 |
2496318 | 2496318 | 2022-05-12 | Baldwin | Alabama | 1003 | 55831 | 680 |
2496319 | 2496319 | 2022-05-12 | Barbour | Alabama | 1005 | 5678 | 98 |
2496320 | 2496320 | 2022-05-12 | Bibb | Alabama | 1007 | 6455 | 105 |
2496321 | 2496321 | 2022-05-12 | Blount | Alabama | 1009 | 15004 | 243 |
2496322 | 2496322 | 2022-05-12 | Bullock | Alabama | 1011 | 2318 | 54 |
2496323 | 2496323 | 2022-05-12 | Butler | Alabama | 1013 | 5068 | 129 |
2496324 | 2496324 | 2022-05-12 | Calhoun | Alabama | 1015 | 32451 | 627 |
2496325 | 2496325 | 2022-05-12 | Chambers | Alabama | 1017 | 8506 | 162 |
2496326 | 2496326 | 2022-05-12 | Cherokee | Alabama | 1019 | 5131 | 86 |
2496327 | 2496327 | 2022-05-12 | Chilton | Alabama | 1021 | 11128 | 207 |
2496328 | 2496328 | 2022-05-12 | Choctaw | Alabama | 1023 | 2050 | 36 |
2496329 | 2496329 | 2022-05-12 | Clarke | Alabama | 1025 | 7152 | 101 |
2496330 | 2496330 | 2022-05-12 | Clay | Alabama | 1027 | 4097 | 82 |
2496331 | 2496331 | 2022-05-12 | Cleburne | Alabama | 1029 | 3564 | 69 |
2496332 | 2496332 | 2022-05-12 | Coffee | Alabama | 1031 | 13638 | 231 |
2496333 | 2496333 | 2022-05-12 | Colbert | Alabama | 1033 | 16354 | 261 |
2496334 | 2496334 | 2022-05-12 | Conecuh | Alabama | 1035 | 2869 | 70 |
2496335 | 2496335 | 2022-05-12 | Coosa | Alabama | 1037 | 2975 | 58 |
2496336 | 2496336 | 2022-05-12 | Covington | Alabama | 1039 | 9354 | 232 |
2496337 | 2496337 | 2022-05-12 | Crenshaw | Alabama | 1041 | 3834 | 100 |
2496338 | 2496338 | 2022-05-12 | Cullman | Alabama | 1043 | 24645 | 367 |
2496339 | 2496339 | 2022-05-12 | Dale | Alabama | 1045 | 12939 | 231 |
2496340 | 2496340 | 2022-05-12 | Dallas | Alabama | 1047 | 8428 | 244 |
2496341 | 2496341 | 2022-05-12 | DeKalb | Alabama | 1049 | 18794 | 329 |
2496342 | 2496342 | 2022-05-12 | Elmore | Alabama | 1051 | 23419 | 347 |
2496343 | 2496343 | 2022-05-12 | Escambia | Alabama | 1053 | 10076 | 171 |
2496344 | 2496344 | 2022-05-12 | Etowah | Alabama | 1055 | 28780 | 651 |
2496345 | 2496345 | 2022-05-12 | Fayette | Alabama | 1057 | 4983 | 96 |
2496346 | 2496346 | 2022-05-12 | Franklin | Alabama | 1059 | 9901 | 139 |
2496347 | 2496347 | 2022-05-12 | Geneva | Alabama | 1061 | 6491 | 164 |
2496348 | 2496348 | 2022-05-12 | Greene | Alabama | 1063 | 1876 | 49 |
2496349 | 2496349 | 2022-05-12 | Hale | Alabama | 1065 | 4741 | 106 |
2496350 | 2496350 | 2022-05-12 | Henry | Alabama | 1067 | 4582 | 76 |
2496351 | 2496351 | 2022-05-12 | Houston | Alabama | 1069 | 25795 | 506 |
2496352 | 2496352 | 2022-05-12 | Jackson | Alabama | 1071 | 15049 | 241 |
2496353 | 2496353 | 2022-05-12 | Jefferson | Alabama | 1073 | 185846 | 2373 |
2496354 | 2496354 | 2022-05-12 | Lamar | Alabama | 1075 | 3745 | 65 |
2496355 | 2496355 | 2022-05-12 | Lauderdale | Alabama | 1077 | 24187 | 397 |
2496356 | 2496356 | 2022-05-12 | Lawrence | Alabama | 1079 | 7681 | 160 |
2496357 | 2496357 | 2022-05-12 | Lee | Alabama | 1081 | 37876 | 341 |
2496358 | 2496358 | 2022-05-12 | Limestone | Alabama | 1083 | 25053 | 292 |
2496359 | 2496359 | 2022-05-12 | Lowndes | Alabama | 1085 | 2628 | 77 |
2496360 | 2496360 | 2022-05-12 | Macon | Alabama | 1087 | 3882 | 85 |
2496361 | 2496361 | 2022-05-12 | Madison | Alabama | 1089 | 90339 | 967 |
2496362 | 2496362 | 2022-05-12 | Marengo | Alabama | 1091 | 5195 | 108 |
2496363 | 2496363 | 2022-05-12 | Marion | Alabama | 1093 | 8153 | 152 |
2496364 | 2496364 | 2022-05-12 | Marshall | Alabama | 1095 | 27430 | 394 |
2496365 | 2496365 | 2022-05-12 | Mobile | Alabama | 1097 | 113283 | 1653 |
2496366 | 2496366 | 2022-05-12 | Monroe | Alabama | 1099 | 5276 | 80 |
2496367 | 2496367 | 2022-05-12 | Montgomery | Alabama | 1101 | 55297 | 948 |
2496368 | 2496368 | 2022-05-12 | Morgan | Alabama | 1103 | 36154 | 517 |
2496369 | 2496369 | 2022-05-12 | Perry | Alabama | 1105 | 2096 | 47 |
2496370 | 2496370 | 2022-05-12 | Pickens | Alabama | 1107 | 5269 | 102 |
2496371 | 2496371 | 2022-05-12 | Pike | Alabama | 1109 | 7587 | 134 |
2496372 | 2496372 | 2022-05-12 | Randolph | Alabama | 1111 | 5085 | 75 |
2496373 | 2496373 | 2022-05-12 | Russell | Alabama | 1113 | 10111 | 93 |
2496374 | 2496374 | 2022-05-12 | Shelby | Alabama | 1117 | 61246 | 452 |
2496375 | 2496375 | 2022-05-12 | St. Clair | Alabama | 1115 | 25385 | 416 |
2496376 | 2496376 | 2022-05-12 | Sumter | Alabama | 1119 | 2590 | 51 |
2496377 | 2496377 | 2022-05-12 | Talladega | Alabama | 1121 | 22389 | 377 |
2496378 | 2496378 | 2022-05-12 | Tallapoosa | Alabama | 1123 | 11443 | 234 |
2496379 | 2496379 | 2022-05-12 | Tuscaloosa | Alabama | 1125 | 56284 | 786 |
2496380 | 2496380 | 2022-05-12 | Walker | Alabama | 1127 | 18763 | 447 |
2496381 | 2496381 | 2022-05-12 | Washington | Alabama | 1129 | 3735 | 59 |
2496382 | 2496382 | 2022-05-12 | Wilcox | Alabama | 1131 | 2892 | 46 |
2496383 | 2496383 | 2022-05-12 | Winston | Alabama | 1133 | 7575 | 131 |
2493059 | 2493059 | 2022-05-11 | Autauga | Alabama | 1001 | 15853 | 216 |
2493060 | 2493060 | 2022-05-11 | Baldwin | Alabama | 1003 | 55807 | 680 |
2493061 | 2493061 | 2022-05-11 | Barbour | Alabama | 1005 | 5677 | 98 |
2493062 | 2493062 | 2022-05-11 | Bibb | Alabama | 1007 | 6453 | 104 |
2493063 | 2493063 | 2022-05-11 | Blount | Alabama | 1009 | 14999 | 243 |
2493064 | 2493064 | 2022-05-11 | Bullock | Alabama | 1011 | 2318 | 54 |
2493065 | 2493065 | 2022-05-11 | Butler | Alabama | 1013 | 5068 | 129 |
2493066 | 2493066 | 2022-05-11 | Calhoun | Alabama | 1015 | 32443 | 626 |
2493067 | 2493067 | 2022-05-11 | Chambers | Alabama | 1017 | 8505 | 162 |
2493068 | 2493068 | 2022-05-11 | Cherokee | Alabama | 1019 | 5134 | 86 |
2493069 | 2493069 | 2022-05-11 | Chilton | Alabama | 1021 | 11128 | 207 |
2493070 | 2493070 | 2022-05-11 | Choctaw | Alabama | 1023 | 2050 | 36 |
2493071 | 2493071 | 2022-05-11 | Clarke | Alabama | 1025 | 7151 | 101 |
2493072 | 2493072 | 2022-05-11 | Clay | Alabama | 1027 | 4092 | 82 |
2493073 | 2493073 | 2022-05-11 | Cleburne | Alabama | 1029 | 3562 | 69 |
2493074 | 2493074 | 2022-05-11 | Coffee | Alabama | 1031 | 13632 | 231 |
2493075 | 2493075 | 2022-05-11 | Colbert | Alabama | 1033 | 16353 | 260 |
2493076 | 2493076 | 2022-05-11 | Conecuh | Alabama | 1035 | 2868 | 70 |
2493077 | 2493077 | 2022-05-11 | Coosa | Alabama | 1037 | 2974 | 58 |
2493078 | 2493078 | 2022-05-11 | Covington | Alabama | 1039 | 9355 | 232 |
2493079 | 2493079 | 2022-05-11 | Crenshaw | Alabama | 1041 | 3834 | 99 |
2493080 | 2493080 | 2022-05-11 | Cullman | Alabama | 1043 | 24639 | 367 |
2493081 | 2493081 | 2022-05-11 | Dale | Alabama | 1045 | 12930 | 231 |
2493082 | 2493082 | 2022-05-11 | Dallas | Alabama | 1047 | 8428 | 244 |
2493083 | 2493083 | 2022-05-11 | DeKalb | Alabama | 1049 | 18787 | 328 |
2493084 | 2493084 | 2022-05-11 | Elmore | Alabama | 1051 | 23410 | 347 |
2493085 | 2493085 | 2022-05-11 | Escambia | Alabama | 1053 | 10072 | 170 |
2493086 | 2493086 | 2022-05-11 | Etowah | Alabama | 1055 | 28777 | 651 |
2493087 | 2493087 | 2022-05-11 | Fayette | Alabama | 1057 | 4983 | 96 |
2493088 | 2493088 | 2022-05-11 | Franklin | Alabama | 1059 | 9900 | 139 |
2493089 | 2493089 | 2022-05-11 | Geneva | Alabama | 1061 | 6490 | 164 |
2493090 | 2493090 | 2022-05-11 | Greene | Alabama | 1063 | 1876 | 49 |
2493091 | 2493091 | 2022-05-11 | Hale | Alabama | 1065 | 4741 | 106 |
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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);