ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,793 rows where date = "2020-04-22" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
state >30
- Texas 200
- Georgia 158
- Virginia 127
- Kentucky 110
- Missouri 99
- Illinois 97
- North Carolina 93
- Tennessee 93
- Indiana 92
- Ohio 87
- Iowa 85
- Mississippi 81
- Michigan 79
- Minnesota 79
- Arkansas 72
- Kansas 70
- Oklahoma 69
- Florida 68
- Alabama 67
- Pennsylvania 67
- Louisiana 65
- Wisconsin 65
- New York 58
- Colorado 57
- Nebraska 54
- California 53
- West Virginia 48
- South Carolina 46
- South Dakota 40
- Washington 38
- …
fips >30
county >30
- Washington 30
- Unknown 27
- Jefferson 25
- Franklin 24
- Jackson 22
- Lincoln 21
- Madison 19
- Clay 17
- Marion 17
- Montgomery 17
- Union 17
- Monroe 15
- Greene 14
- Warren 14
- Carroll 13
- Wayne 13
- Johnson 12
- Polk 12
- Crawford 11
- Fayette 11
- Grant 11
- Lee 11
- Marshall 11
- Morgan 11
- Adams 10
- Clark 10
- Douglas 10
- Hamilton 10
- Henry 10
- Lake 10
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
78455 | 78455 | 2020-04-22 | Autauga | Alabama | 1001 | 32 | 2 |
78456 | 78456 | 2020-04-22 | Baldwin | Alabama | 1003 | 132 | 3 |
78457 | 78457 | 2020-04-22 | Barbour | Alabama | 1005 | 29 | 0 |
78458 | 78458 | 2020-04-22 | Bibb | Alabama | 1007 | 34 | 0 |
78459 | 78459 | 2020-04-22 | Blount | Alabama | 1009 | 29 | 0 |
78460 | 78460 | 2020-04-22 | Bullock | Alabama | 1011 | 11 | 0 |
78461 | 78461 | 2020-04-22 | Butler | Alabama | 1013 | 17 | 0 |
78462 | 78462 | 2020-04-22 | Calhoun | Alabama | 1015 | 85 | 3 |
78463 | 78463 | 2020-04-22 | Chambers | Alabama | 1017 | 270 | 16 |
78464 | 78464 | 2020-04-22 | Cherokee | Alabama | 1019 | 13 | 0 |
78465 | 78465 | 2020-04-22 | Chilton | Alabama | 1021 | 46 | 1 |
78466 | 78466 | 2020-04-22 | Choctaw | Alabama | 1023 | 21 | 0 |
78467 | 78467 | 2020-04-22 | Clarke | Alabama | 1025 | 25 | 1 |
78468 | 78468 | 2020-04-22 | Clay | Alabama | 1027 | 19 | 0 |
78469 | 78469 | 2020-04-22 | Cleburne | Alabama | 1029 | 12 | 1 |
78470 | 78470 | 2020-04-22 | Coffee | Alabama | 1031 | 73 | 1 |
78471 | 78471 | 2020-04-22 | Colbert | Alabama | 1033 | 20 | 1 |
78472 | 78472 | 2020-04-22 | Conecuh | Alabama | 1035 | 9 | 0 |
78473 | 78473 | 2020-04-22 | Coosa | Alabama | 1037 | 24 | 1 |
78474 | 78474 | 2020-04-22 | Covington | Alabama | 1039 | 27 | 0 |
78475 | 78475 | 2020-04-22 | Crenshaw | Alabama | 1041 | 6 | 0 |
78476 | 78476 | 2020-04-22 | Cullman | Alabama | 1043 | 44 | 0 |
78477 | 78477 | 2020-04-22 | Dale | Alabama | 1045 | 22 | 0 |
78478 | 78478 | 2020-04-22 | Dallas | Alabama | 1047 | 30 | 2 |
78479 | 78479 | 2020-04-22 | DeKalb | Alabama | 1049 | 58 | 2 |
78480 | 78480 | 2020-04-22 | Elmore | Alabama | 1051 | 74 | 1 |
78481 | 78481 | 2020-04-22 | Escambia | Alabama | 1053 | 18 | 1 |
78482 | 78482 | 2020-04-22 | Etowah | Alabama | 1055 | 116 | 8 |
78483 | 78483 | 2020-04-22 | Fayette | Alabama | 1057 | 4 | 0 |
78484 | 78484 | 2020-04-22 | Franklin | Alabama | 1059 | 22 | 0 |
78485 | 78485 | 2020-04-22 | Geneva | Alabama | 1061 | 5 | 0 |
78486 | 78486 | 2020-04-22 | Greene | Alabama | 1063 | 40 | 0 |
78487 | 78487 | 2020-04-22 | Hale | Alabama | 1065 | 36 | 1 |
78488 | 78488 | 2020-04-22 | Henry | Alabama | 1067 | 20 | 0 |
78489 | 78489 | 2020-04-22 | Houston | Alabama | 1069 | 75 | 3 |
78490 | 78490 | 2020-04-22 | Jackson | Alabama | 1071 | 42 | 2 |
78491 | 78491 | 2020-04-22 | Jefferson | Alabama | 1073 | 744 | 31 |
78492 | 78492 | 2020-04-22 | Lamar | Alabama | 1075 | 8 | 0 |
78493 | 78493 | 2020-04-22 | Lauderdale | Alabama | 1077 | 25 | 3 |
78494 | 78494 | 2020-04-22 | Lawrence | Alabama | 1079 | 12 | 0 |
78495 | 78495 | 2020-04-22 | Lee | Alabama | 1081 | 331 | 21 |
78496 | 78496 | 2020-04-22 | Limestone | Alabama | 1083 | 38 | 0 |
78497 | 78497 | 2020-04-22 | Lowndes | Alabama | 1085 | 32 | 1 |
78498 | 78498 | 2020-04-22 | Macon | Alabama | 1087 | 27 | 2 |
78499 | 78499 | 2020-04-22 | Madison | Alabama | 1089 | 205 | 4 |
78500 | 78500 | 2020-04-22 | Marengo | Alabama | 1091 | 40 | 3 |
78501 | 78501 | 2020-04-22 | Marion | Alabama | 1093 | 65 | 5 |
78502 | 78502 | 2020-04-22 | Marshall | Alabama | 1095 | 241 | 4 |
78503 | 78503 | 2020-04-22 | Mobile | Alabama | 1097 | 759 | 39 |
78504 | 78504 | 2020-04-22 | Monroe | Alabama | 1099 | 9 | 1 |
78505 | 78505 | 2020-04-22 | Montgomery | Alabama | 1101 | 253 | 3 |
78506 | 78506 | 2020-04-22 | Morgan | Alabama | 1103 | 50 | 0 |
78507 | 78507 | 2020-04-22 | Perry | Alabama | 1105 | 9 | 0 |
78508 | 78508 | 2020-04-22 | Pickens | Alabama | 1107 | 44 | 1 |
78509 | 78509 | 2020-04-22 | Pike | Alabama | 1109 | 53 | 0 |
78510 | 78510 | 2020-04-22 | Randolph | Alabama | 1111 | 60 | 4 |
78511 | 78511 | 2020-04-22 | Russell | Alabama | 1113 | 52 | 0 |
78512 | 78512 | 2020-04-22 | Shelby | Alabama | 1117 | 278 | 7 |
78513 | 78513 | 2020-04-22 | St. Clair | Alabama | 1115 | 62 | 0 |
78514 | 78514 | 2020-04-22 | Sumter | Alabama | 1119 | 46 | 1 |
78515 | 78515 | 2020-04-22 | Talladega | Alabama | 1121 | 52 | 2 |
78516 | 78516 | 2020-04-22 | Tallapoosa | Alabama | 1123 | 242 | 16 |
78517 | 78517 | 2020-04-22 | Tuscaloosa | Alabama | 1125 | 165 | 1 |
78518 | 78518 | 2020-04-22 | Walker | Alabama | 1127 | 90 | 0 |
78519 | 78519 | 2020-04-22 | Washington | Alabama | 1129 | 18 | 1 |
78520 | 78520 | 2020-04-22 | Wilcox | Alabama | 1131 | 50 | 1 |
78521 | 78521 | 2020-04-22 | Winston | Alabama | 1133 | 10 | 0 |
78522 | 78522 | 2020-04-22 | Anchorage | Alaska | 2020 | 164 | 4 |
78523 | 78523 | 2020-04-22 | Bethel Census Area | Alaska | 2050 | 1 | 0 |
78524 | 78524 | 2020-04-22 | Fairbanks North Star Borough | Alaska | 2090 | 79 | 2 |
78525 | 78525 | 2020-04-22 | Juneau City and Borough | Alaska | 2110 | 27 | 0 |
78526 | 78526 | 2020-04-22 | Kenai Peninsula Borough | Alaska | 2122 | 18 | 0 |
78527 | 78527 | 2020-04-22 | Ketchikan Gateway Borough | Alaska | 2130 | 16 | 0 |
78528 | 78528 | 2020-04-22 | Kodiak Island Borough | Alaska | 2150 | 1 | 0 |
78529 | 78529 | 2020-04-22 | Matanuska-Susitna Borough | Alaska | 2170 | 20 | 1 |
78530 | 78530 | 2020-04-22 | Nome Census Area | Alaska | 2180 | 1 | 0 |
78531 | 78531 | 2020-04-22 | Petersburg Borough | Alaska | 2195 | 2 | 0 |
78532 | 78532 | 2020-04-22 | Prince of Wales-Hyder Census Area | Alaska | 2198 | 2 | 0 |
78533 | 78533 | 2020-04-22 | Southeast Fairbanks Census Area | Alaska | 2240 | 1 | 0 |
78534 | 78534 | 2020-04-22 | Yukon-Koyukuk Census Area | Alaska | 2290 | 1 | 0 |
78535 | 78535 | 2020-04-22 | Apache | Arizona | 4001 | 235 | 5 |
78536 | 78536 | 2020-04-22 | Cochise | Arizona | 4003 | 31 | 0 |
78537 | 78537 | 2020-04-22 | Coconino | Arizona | 4005 | 353 | 35 |
78538 | 78538 | 2020-04-22 | Gila | Arizona | 4007 | 10 | 0 |
78539 | 78539 | 2020-04-22 | Graham | Arizona | 4009 | 2 | 0 |
78540 | 78540 | 2020-04-22 | Greenlee | Arizona | 4011 | 2 | 0 |
78541 | 78541 | 2020-04-22 | La Paz | Arizona | 4012 | 6 | 1 |
78542 | 78542 | 2020-04-22 | Maricopa | Arizona | 4013 | 2846 | 97 |
78543 | 78543 | 2020-04-22 | Mohave | Arizona | 4015 | 62 | 3 |
78544 | 78544 | 2020-04-22 | Navajo | Arizona | 4017 | 527 | 12 |
78545 | 78545 | 2020-04-22 | Pima | Arizona | 4019 | 973 | 68 |
78546 | 78546 | 2020-04-22 | Pinal | Arizona | 4021 | 283 | 8 |
78547 | 78547 | 2020-04-22 | Santa Cruz | Arizona | 4023 | 28 | 0 |
78548 | 78548 | 2020-04-22 | Unknown | Arizona | 0 | 5 | |
78549 | 78549 | 2020-04-22 | Yavapai | Arizona | 4025 | 73 | 1 |
78550 | 78550 | 2020-04-22 | Yuma | Arizona | 4027 | 28 | 1 |
78551 | 78551 | 2020-04-22 | Arkansas | Arkansas | 5001 | 2 | 0 |
78552 | 78552 | 2020-04-22 | Ashley | Arkansas | 5003 | 13 | 0 |
78553 | 78553 | 2020-04-22 | Baxter | Arkansas | 5005 | 5 | 0 |
78554 | 78554 | 2020-04-22 | Benton | Arkansas | 5007 | 69 | 0 |
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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);