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
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
fips >30
county >30
- Elmore 792
- Jefferson 792
- Limestone 792
- Montgomery 792
- Tuscaloosa 792
- Baldwin 791
- Lee 790
- Shelby 790
- Madison 788
- St. Clair 788
- Calhoun 787
- Talladega 787
- Chambers 786
- Mobile 786
- Walker 786
- Cullman 785
- Jackson 785
- Lamar 785
- Lauderdale 785
- Washington 785
- Marion 784
- Franklin 782
- Houston 782
- Tallapoosa 782
- Autauga 781
- Morgan 781
- Blount 780
- Butler 780
- Cherokee 780
- Chilton 780
- …
state 1
- Alabama · 52,312 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2499575 | 2499575 | 2022-05-13 | Autauga | Alabama | 1001 | 15863 | 216 |
2499576 | 2499576 | 2022-05-13 | Baldwin | Alabama | 1003 | 55862 | 681 |
2499577 | 2499577 | 2022-05-13 | Barbour | Alabama | 1005 | 5681 | 98 |
2499578 | 2499578 | 2022-05-13 | Bibb | Alabama | 1007 | 6457 | 105 |
2499579 | 2499579 | 2022-05-13 | Blount | Alabama | 1009 | 15005 | 243 |
2499580 | 2499580 | 2022-05-13 | Bullock | Alabama | 1011 | 2319 | 54 |
2499581 | 2499581 | 2022-05-13 | Butler | Alabama | 1013 | 5068 | 129 |
2499582 | 2499582 | 2022-05-13 | Calhoun | Alabama | 1015 | 32453 | 627 |
2499583 | 2499583 | 2022-05-13 | Chambers | Alabama | 1017 | 8508 | 162 |
2499584 | 2499584 | 2022-05-13 | Cherokee | Alabama | 1019 | 5131 | 86 |
2499585 | 2499585 | 2022-05-13 | Chilton | Alabama | 1021 | 11131 | 207 |
2499586 | 2499586 | 2022-05-13 | Choctaw | Alabama | 1023 | 2051 | 36 |
2499587 | 2499587 | 2022-05-13 | Clarke | Alabama | 1025 | 7154 | 101 |
2499588 | 2499588 | 2022-05-13 | Clay | Alabama | 1027 | 4099 | 82 |
2499589 | 2499589 | 2022-05-13 | Cleburne | Alabama | 1029 | 3566 | 69 |
2499590 | 2499590 | 2022-05-13 | Coffee | Alabama | 1031 | 13643 | 231 |
2499591 | 2499591 | 2022-05-13 | Colbert | Alabama | 1033 | 16356 | 261 |
2499592 | 2499592 | 2022-05-13 | Conecuh | Alabama | 1035 | 2869 | 70 |
2499593 | 2499593 | 2022-05-13 | Coosa | Alabama | 1037 | 2977 | 58 |
2499594 | 2499594 | 2022-05-13 | Covington | Alabama | 1039 | 9355 | 232 |
2499595 | 2499595 | 2022-05-13 | Crenshaw | Alabama | 1041 | 3834 | 100 |
2499596 | 2499596 | 2022-05-13 | Cullman | Alabama | 1043 | 24649 | 367 |
2499597 | 2499597 | 2022-05-13 | Dale | Alabama | 1045 | 12947 | 231 |
2499598 | 2499598 | 2022-05-13 | Dallas | Alabama | 1047 | 8429 | 244 |
2499599 | 2499599 | 2022-05-13 | DeKalb | Alabama | 1049 | 18799 | 330 |
2499600 | 2499600 | 2022-05-13 | Elmore | Alabama | 1051 | 23420 | 347 |
2499601 | 2499601 | 2022-05-13 | Escambia | Alabama | 1053 | 10081 | 171 |
2499602 | 2499602 | 2022-05-13 | Etowah | Alabama | 1055 | 28779 | 651 |
2499603 | 2499603 | 2022-05-13 | Fayette | Alabama | 1057 | 4986 | 96 |
2499604 | 2499604 | 2022-05-13 | Franklin | Alabama | 1059 | 9903 | 139 |
2499605 | 2499605 | 2022-05-13 | Geneva | Alabama | 1061 | 6494 | 164 |
2499606 | 2499606 | 2022-05-13 | Greene | Alabama | 1063 | 1877 | 49 |
2499607 | 2499607 | 2022-05-13 | Hale | Alabama | 1065 | 4741 | 106 |
2499608 | 2499608 | 2022-05-13 | Henry | Alabama | 1067 | 4584 | 76 |
2499609 | 2499609 | 2022-05-13 | Houston | Alabama | 1069 | 25800 | 506 |
2499610 | 2499610 | 2022-05-13 | Jackson | Alabama | 1071 | 15049 | 241 |
2499611 | 2499611 | 2022-05-13 | Jefferson | Alabama | 1073 | 185930 | 2373 |
2499612 | 2499612 | 2022-05-13 | Lamar | Alabama | 1075 | 3745 | 65 |
2499613 | 2499613 | 2022-05-13 | Lauderdale | Alabama | 1077 | 24193 | 397 |
2499614 | 2499614 | 2022-05-13 | Lawrence | Alabama | 1079 | 7682 | 160 |
2499615 | 2499615 | 2022-05-13 | Lee | Alabama | 1081 | 37888 | 341 |
2499616 | 2499616 | 2022-05-13 | Limestone | Alabama | 1083 | 25065 | 293 |
2499617 | 2499617 | 2022-05-13 | Lowndes | Alabama | 1085 | 2628 | 77 |
2499618 | 2499618 | 2022-05-13 | Macon | Alabama | 1087 | 3885 | 85 |
2499619 | 2499619 | 2022-05-13 | Madison | Alabama | 1089 | 90395 | 968 |
2499620 | 2499620 | 2022-05-13 | Marengo | Alabama | 1091 | 5196 | 108 |
2499621 | 2499621 | 2022-05-13 | Marion | Alabama | 1093 | 8157 | 152 |
2499622 | 2499622 | 2022-05-13 | Marshall | Alabama | 1095 | 27438 | 394 |
2499623 | 2499623 | 2022-05-13 | Mobile | Alabama | 1097 | 113300 | 1653 |
2499624 | 2499624 | 2022-05-13 | Monroe | Alabama | 1099 | 5276 | 80 |
2499625 | 2499625 | 2022-05-13 | Montgomery | Alabama | 1101 | 55316 | 948 |
2499626 | 2499626 | 2022-05-13 | Morgan | Alabama | 1103 | 36167 | 518 |
2499627 | 2499627 | 2022-05-13 | Perry | Alabama | 1105 | 2096 | 47 |
2499628 | 2499628 | 2022-05-13 | Pickens | Alabama | 1107 | 5271 | 102 |
2499629 | 2499629 | 2022-05-13 | Pike | Alabama | 1109 | 7590 | 134 |
2499630 | 2499630 | 2022-05-13 | Randolph | Alabama | 1111 | 5085 | 75 |
2499631 | 2499631 | 2022-05-13 | Russell | Alabama | 1113 | 10112 | 93 |
2499632 | 2499632 | 2022-05-13 | Shelby | Alabama | 1117 | 61273 | 452 |
2499633 | 2499633 | 2022-05-13 | St. Clair | Alabama | 1115 | 25395 | 416 |
2499634 | 2499634 | 2022-05-13 | Sumter | Alabama | 1119 | 2594 | 51 |
2499635 | 2499635 | 2022-05-13 | Talladega | Alabama | 1121 | 22396 | 377 |
2499636 | 2499636 | 2022-05-13 | Tallapoosa | Alabama | 1123 | 11445 | 234 |
2499637 | 2499637 | 2022-05-13 | Tuscaloosa | Alabama | 1125 | 56301 | 786 |
2499638 | 2499638 | 2022-05-13 | Walker | Alabama | 1127 | 18767 | 447 |
2499639 | 2499639 | 2022-05-13 | Washington | Alabama | 1129 | 3736 | 59 |
2499640 | 2499640 | 2022-05-13 | Wilcox | Alabama | 1131 | 2892 | 46 |
2499641 | 2499641 | 2022-05-13 | Winston | Alabama | 1133 | 7576 | 131 |
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 |
Advanced export
JSON shape: default, array, newline-delimited
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);