ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
117 rows where "date" is on date 2022-02-09 and state = "Missouri" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2198463 | 2198463 | 2022-02-09 | Adair | Missouri | 29001 | 5881 | 59 |
2198464 | 2198464 | 2022-02-09 | Andrew | Missouri | 29003 | 4623 | 47 |
2198465 | 2198465 | 2022-02-09 | Atchison | Missouri | 29005 | 1305 | 19 |
2198466 | 2198466 | 2022-02-09 | Audrain | Missouri | 29007 | 5564 | 96 |
2198467 | 2198467 | 2022-02-09 | Barry | Missouri | 29009 | 6442 | 105 |
2198468 | 2198468 | 2022-02-09 | Barton | Missouri | 29011 | 2671 | 46 |
2198469 | 2198469 | 2022-02-09 | Bates | Missouri | 29013 | 3664 | 77 |
2198470 | 2198470 | 2022-02-09 | Benton | Missouri | 29015 | 4009 | 87 |
2198471 | 2198471 | 2022-02-09 | Bollinger | Missouri | 29017 | 2397 | 35 |
2198472 | 2198472 | 2022-02-09 | Boone | Missouri | 29019 | 42307 | 228 |
2198473 | 2198473 | 2022-02-09 | Buchanan | Missouri | 29021 | 23917 | 283 |
2198474 | 2198474 | 2022-02-09 | Butler | Missouri | 29023 | 9641 | 147 |
2198475 | 2198475 | 2022-02-09 | Caldwell | Missouri | 29025 | 1603 | 31 |
2198476 | 2198476 | 2022-02-09 | Callaway | Missouri | 29027 | 11667 | 108 |
2198477 | 2198477 | 2022-02-09 | Camden | Missouri | 29029 | 9056 | 165 |
2198478 | 2198478 | 2022-02-09 | Cape Girardeau | Missouri | 29031 | 18050 | 217 |
2198479 | 2198479 | 2022-02-09 | Carroll | Missouri | 29033 | 2174 | 42 |
2198480 | 2198480 | 2022-02-09 | Carter | Missouri | 29035 | 1462 | 19 |
2198481 | 2198481 | 2022-02-09 | Cass | Missouri | 29037 | 23973 | 269 |
2198482 | 2198482 | 2022-02-09 | Cedar | Missouri | 29039 | 2830 | 44 |
2198483 | 2198483 | 2022-02-09 | Chariton | Missouri | 29041 | 1630 | 34 |
2198484 | 2198484 | 2022-02-09 | Christian | Missouri | 29043 | 20228 | 233 |
2198485 | 2198485 | 2022-02-09 | Clark | Missouri | 29045 | 1551 | 28 |
2198486 | 2198486 | 2022-02-09 | Clay | Missouri | 29047 | 25746 | 334 |
2198487 | 2198487 | 2022-02-09 | Clinton | Missouri | 29049 | 4583 | 109 |
2198488 | 2198488 | 2022-02-09 | Cole | Missouri | 29051 | 19638 | 266 |
2198489 | 2198489 | 2022-02-09 | Cooper | Missouri | 29053 | 4066 | 73 |
2198490 | 2198490 | 2022-02-09 | Crawford | Missouri | 29055 | 5276 | 94 |
2198491 | 2198491 | 2022-02-09 | Dade | Missouri | 29057 | 1377 | 38 |
2198492 | 2198492 | 2022-02-09 | Dallas | Missouri | 29059 | 3689 | 67 |
2198493 | 2198493 | 2022-02-09 | Daviess | Missouri | 29061 | 1579 | 26 |
2198494 | 2198494 | 2022-02-09 | DeKalb | Missouri | 29063 | 2077 | 42 |
2198495 | 2198495 | 2022-02-09 | Dent | Missouri | 29065 | 3167 | 68 |
2198496 | 2198496 | 2022-02-09 | Douglas | Missouri | 29067 | 2448 | 70 |
2198497 | 2198497 | 2022-02-09 | Dunklin | Missouri | 29069 | 6782 | 94 |
2198498 | 2198498 | 2022-02-09 | Franklin | Missouri | 29071 | 22146 | 310 |
2198499 | 2198499 | 2022-02-09 | Gasconade | Missouri | 29073 | 3229 | 93 |
2198500 | 2198500 | 2022-02-09 | Gentry | Missouri | 29075 | 2091 | 29 |
2198501 | 2198501 | 2022-02-09 | Greene | Missouri | 29077 | 68701 | 909 |
2198502 | 2198502 | 2022-02-09 | Grundy | Missouri | 29079 | 2280 | 62 |
2198503 | 2198503 | 2022-02-09 | Harrison | Missouri | 29081 | 1754 | 27 |
2198504 | 2198504 | 2022-02-09 | Henry | Missouri | 29083 | 5560 | 76 |
2198505 | 2198505 | 2022-02-09 | Hickory | Missouri | 29085 | 1774 | 50 |
2198506 | 2198506 | 2022-02-09 | Holt | Missouri | 29087 | 1023 | 25 |
2198507 | 2198507 | 2022-02-09 | Howard | Missouri | 29089 | 2111 | 23 |
2198508 | 2198508 | 2022-02-09 | Howell | Missouri | 29091 | 8606 | 188 |
2198509 | 2198509 | 2022-02-09 | Iron | Missouri | 29093 | 2083 | 35 |
2198510 | 2198510 | 2022-02-09 | Jackson | Missouri | 29095 | 92416 | 1059 |
2198511 | 2198511 | 2022-02-09 | Jasper | Missouri | 29097 | 19866 | 277 |
2198512 | 2198512 | 2022-02-09 | Jefferson | Missouri | 29099 | 52695 | 558 |
2198513 | 2198513 | 2022-02-09 | Johnson | Missouri | 29101 | 11750 | 128 |
2198514 | 2198514 | 2022-02-09 | Joplin | Missouri | 13092 | 204 | |
2198515 | 2198515 | 2022-02-09 | Kansas City | Missouri | 109283 | 1121 | |
2198516 | 2198516 | 2022-02-09 | Knox | Missouri | 29103 | 922 | 12 |
2198517 | 2198517 | 2022-02-09 | Laclede | Missouri | 29105 | 7929 | 162 |
2198518 | 2198518 | 2022-02-09 | Lafayette | Missouri | 29107 | 7572 | 115 |
2198519 | 2198519 | 2022-02-09 | Lawrence | Missouri | 29109 | 7526 | 148 |
2198520 | 2198520 | 2022-02-09 | Lewis | Missouri | 29111 | 2606 | 31 |
2198521 | 2198521 | 2022-02-09 | Lincoln | Missouri | 29113 | 14868 | 118 |
2198522 | 2198522 | 2022-02-09 | Linn | Missouri | 29115 | 2319 | 61 |
2198523 | 2198523 | 2022-02-09 | Livingston | Missouri | 29117 | 3599 | 86 |
2198524 | 2198524 | 2022-02-09 | Macon | Missouri | 29121 | 3541 | 46 |
2198525 | 2198525 | 2022-02-09 | Madison | Missouri | 29123 | 3477 | 47 |
2198526 | 2198526 | 2022-02-09 | Maries | Missouri | 29125 | 1548 | 29 |
2198527 | 2198527 | 2022-02-09 | Marion | Missouri | 29127 | 7761 | 112 |
2198528 | 2198528 | 2022-02-09 | McDonald | Missouri | 29119 | 5592 | 64 |
2198529 | 2198529 | 2022-02-09 | Mercer | Missouri | 29129 | 663 | 12 |
2198530 | 2198530 | 2022-02-09 | Miller | Missouri | 29131 | 5936 | 111 |
2198531 | 2198531 | 2022-02-09 | Mississippi | Missouri | 29133 | 3104 | 56 |
2198532 | 2198532 | 2022-02-09 | Moniteau | Missouri | 29135 | 3755 | 50 |
2198533 | 2198533 | 2022-02-09 | Monroe | Missouri | 29137 | 2107 | 39 |
2198534 | 2198534 | 2022-02-09 | Montgomery | Missouri | 29139 | 2355 | 51 |
2198535 | 2198535 | 2022-02-09 | Morgan | Missouri | 29141 | 3912 | 95 |
2198536 | 2198536 | 2022-02-09 | New Madrid | Missouri | 29143 | 4848 | 75 |
2198537 | 2198537 | 2022-02-09 | Newton | Missouri | 29145 | 11060 | 177 |
2198538 | 2198538 | 2022-02-09 | Nodaway | Missouri | 29147 | 5842 | 41 |
2198539 | 2198539 | 2022-02-09 | Oregon | Missouri | 29149 | 1955 | 29 |
2198540 | 2198540 | 2022-02-09 | Osage | Missouri | 29151 | 3100 | 39 |
2198541 | 2198541 | 2022-02-09 | Ozark | Missouri | 29153 | 1637 | 48 |
2198542 | 2198542 | 2022-02-09 | Pemiscot | Missouri | 29155 | 2886 | 65 |
2198543 | 2198543 | 2022-02-09 | Perry | Missouri | 29157 | 4724 | 44 |
2198544 | 2198544 | 2022-02-09 | Pettis | Missouri | 29159 | 11576 | 142 |
2198545 | 2198545 | 2022-02-09 | Phelps | Missouri | 29161 | 9706 | 224 |
2198546 | 2198546 | 2022-02-09 | Pike | Missouri | 29163 | 4100 | 56 |
2198547 | 2198547 | 2022-02-09 | Platte | Missouri | 29165 | 9782 | 87 |
2198548 | 2198548 | 2022-02-09 | Polk | Missouri | 29167 | 7782 | 86 |
2198549 | 2198549 | 2022-02-09 | Pulaski | Missouri | 29169 | 8590 | 106 |
2198550 | 2198550 | 2022-02-09 | Putnam | Missouri | 29171 | 955 | 21 |
2198551 | 2198551 | 2022-02-09 | Ralls | Missouri | 29173 | 2379 | 20 |
2198552 | 2198552 | 2022-02-09 | Randolph | Missouri | 29175 | 5829 | 98 |
2198553 | 2198553 | 2022-02-09 | Ray | Missouri | 29177 | 4960 | 87 |
2198554 | 2198554 | 2022-02-09 | Reynolds | Missouri | 29179 | 1107 | 20 |
2198555 | 2198555 | 2022-02-09 | Ripley | Missouri | 29181 | 2621 | 54 |
2198556 | 2198556 | 2022-02-09 | Saline | Missouri | 29195 | 6132 | 95 |
2198557 | 2198557 | 2022-02-09 | Schuyler | Missouri | 29197 | 689 | 24 |
2198558 | 2198558 | 2022-02-09 | Scotland | Missouri | 29199 | 664 | 17 |
2198559 | 2198559 | 2022-02-09 | Scott | Missouri | 29201 | 10784 | 146 |
2198560 | 2198560 | 2022-02-09 | Shannon | Missouri | 29203 | 1539 | 32 |
2198561 | 2198561 | 2022-02-09 | Shelby | Missouri | 29205 | 1472 | 14 |
2198562 | 2198562 | 2022-02-09 | St. Charles | Missouri | 29183 | 99689 | 829 |
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);