ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
72 rows where "date" is on date 2022-03-10 and state = "Wisconsin" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2294422 | 2294422 | 2022-03-10 | Adams | Wisconsin | 55001 | 4606 | 53 |
2294423 | 2294423 | 2022-03-10 | Ashland | Wisconsin | 55003 | 3247 | 36 |
2294424 | 2294424 | 2022-03-10 | Barron | Wisconsin | 55005 | 13386 | 139 |
2294425 | 2294425 | 2022-03-10 | Bayfield | Wisconsin | 55007 | 3235 | 38 |
2294426 | 2294426 | 2022-03-10 | Brown | Wisconsin | 55009 | 83600 | 495 |
2294427 | 2294427 | 2022-03-10 | Buffalo | Wisconsin | 55011 | 3432 | 12 |
2294428 | 2294428 | 2022-03-10 | Burnett | Wisconsin | 55013 | 3942 | 41 |
2294429 | 2294429 | 2022-03-10 | Calumet | Wisconsin | 55015 | 14423 | 117 |
2294430 | 2294430 | 2022-03-10 | Chippewa | Wisconsin | 55017 | 18549 | 176 |
2294431 | 2294431 | 2022-03-10 | Clark | Wisconsin | 55019 | 7605 | 117 |
2294432 | 2294432 | 2022-03-10 | Columbia | Wisconsin | 55021 | 15122 | 124 |
2294433 | 2294433 | 2022-03-10 | Crawford | Wisconsin | 55023 | 4207 | 28 |
2294434 | 2294434 | 2022-03-10 | Dane | Wisconsin | 55025 | 122746 | 491 |
2294435 | 2294435 | 2022-03-10 | Dodge | Wisconsin | 55027 | 26937 | 317 |
2294436 | 2294436 | 2022-03-10 | Door | Wisconsin | 55029 | 6923 | 64 |
2294437 | 2294437 | 2022-03-10 | Douglas | Wisconsin | 55031 | 11444 | 74 |
2294438 | 2294438 | 2022-03-10 | Dunn | Wisconsin | 55033 | 13220 | 70 |
2294439 | 2294439 | 2022-03-10 | Eau Claire | Wisconsin | 55035 | 29908 | 180 |
2294440 | 2294440 | 2022-03-10 | Florence | Wisconsin | 55037 | 1077 | 15 |
2294441 | 2294441 | 2022-03-10 | Fond du Lac | Wisconsin | 55039 | 31593 | 250 |
2294442 | 2294442 | 2022-03-10 | Forest | Wisconsin | 55041 | 2666 | 50 |
2294443 | 2294443 | 2022-03-10 | Grant | Wisconsin | 55043 | 12601 | 143 |
2294444 | 2294444 | 2022-03-10 | Green | Wisconsin | 55045 | 8952 | 52 |
2294445 | 2294445 | 2022-03-10 | Green Lake | Wisconsin | 55047 | 5054 | 60 |
2294446 | 2294446 | 2022-03-10 | Iowa | Wisconsin | 55049 | 5184 | 26 |
2294447 | 2294447 | 2022-03-10 | Iron | Wisconsin | 55051 | 1461 | 47 |
2294448 | 2294448 | 2022-03-10 | Jackson | Wisconsin | 55053 | 5629 | 41 |
2294449 | 2294449 | 2022-03-10 | Jefferson | Wisconsin | 55055 | 21327 | 229 |
2294450 | 2294450 | 2022-03-10 | Juneau | Wisconsin | 55057 | 7648 | 64 |
2294451 | 2294451 | 2022-03-10 | Kenosha | Wisconsin | 55059 | 43745 | 616 |
2294452 | 2294452 | 2022-03-10 | Kewaunee | Wisconsin | 55061 | 5820 | 56 |
2294453 | 2294453 | 2022-03-10 | La Crosse | Wisconsin | 55063 | 34369 | 169 |
2294454 | 2294454 | 2022-03-10 | Lafayette | Wisconsin | 55065 | 3612 | 22 |
2294455 | 2294455 | 2022-03-10 | Langlade | Wisconsin | 55067 | 5180 | 81 |
2294456 | 2294456 | 2022-03-10 | Lincoln | Wisconsin | 55069 | 6981 | 144 |
2294457 | 2294457 | 2022-03-10 | Manitowoc | Wisconsin | 55071 | 20319 | 183 |
2294458 | 2294458 | 2022-03-10 | Marathon | Wisconsin | 55073 | 39056 | 477 |
2294459 | 2294459 | 2022-03-10 | Marinette | Wisconsin | 55075 | 11526 | 114 |
2294460 | 2294460 | 2022-03-10 | Marquette | Wisconsin | 55077 | 3780 | 55 |
2294461 | 2294461 | 2022-03-10 | Menominee | Wisconsin | 55078 | 1892 | 13 |
2294462 | 2294462 | 2022-03-10 | Milwaukee | Wisconsin | 55079 | 267008 | 2152 |
2294463 | 2294463 | 2022-03-10 | Monroe | Wisconsin | 55081 | 11850 | 83 |
2294464 | 2294464 | 2022-03-10 | Oconto | Wisconsin | 55083 | 11346 | 109 |
2294465 | 2294465 | 2022-03-10 | Oneida | Wisconsin | 55085 | 8439 | 132 |
2294466 | 2294466 | 2022-03-10 | Outagamie | Wisconsin | 55087 | 54012 | 374 |
2294467 | 2294467 | 2022-03-10 | Ozaukee | Wisconsin | 55089 | 21983 | 164 |
2294468 | 2294468 | 2022-03-10 | Pepin | Wisconsin | 55091 | 1947 | 18 |
2294469 | 2294469 | 2022-03-10 | Pierce | Wisconsin | 55093 | 11429 | 72 |
2294470 | 2294470 | 2022-03-10 | Polk | Wisconsin | 55095 | 12208 | 119 |
2294471 | 2294471 | 2022-03-10 | Portage | Wisconsin | 55097 | 17843 | 155 |
2294472 | 2294472 | 2022-03-10 | Price | Wisconsin | 55099 | 3239 | 32 |
2294473 | 2294473 | 2022-03-10 | Racine | Wisconsin | 55101 | 55966 | 665 |
2294474 | 2294474 | 2022-03-10 | Richland | Wisconsin | 55103 | 3805 | 45 |
2294475 | 2294475 | 2022-03-10 | Rock | Wisconsin | 55105 | 42386 | 368 |
2294476 | 2294476 | 2022-03-10 | Rusk | Wisconsin | 55107 | 3397 | 54 |
2294477 | 2294477 | 2022-03-10 | Sauk | Wisconsin | 55111 | 15766 | 117 |
2294478 | 2294478 | 2022-03-10 | Sawyer | Wisconsin | 55113 | 4510 | 59 |
2294479 | 2294479 | 2022-03-10 | Shawano | Wisconsin | 55115 | 11607 | 144 |
2294480 | 2294480 | 2022-03-10 | Sheboygan | Wisconsin | 55117 | 32314 | 298 |
2294481 | 2294481 | 2022-03-10 | St. Croix | Wisconsin | 55109 | 24324 | 143 |
2294482 | 2294482 | 2022-03-10 | Taylor | Wisconsin | 55119 | 4803 | 68 |
2294483 | 2294483 | 2022-03-10 | Trempealeau | Wisconsin | 55121 | 8342 | 61 |
2294484 | 2294484 | 2022-03-10 | Vernon | Wisconsin | 55123 | 5945 | 91 |
2294485 | 2294485 | 2022-03-10 | Vilas | Wisconsin | 55125 | 5188 | 87 |
2294486 | 2294486 | 2022-03-10 | Walworth | Wisconsin | 55127 | 26760 | 276 |
2294487 | 2294487 | 2022-03-10 | Washburn | Wisconsin | 55129 | 3952 | 45 |
2294488 | 2294488 | 2022-03-10 | Washington | Wisconsin | 55131 | 37790 | 311 |
2294489 | 2294489 | 2022-03-10 | Waukesha | Wisconsin | 55133 | 111377 | 1033 |
2294490 | 2294490 | 2022-03-10 | Waupaca | Wisconsin | 55135 | 13558 | 247 |
2294491 | 2294491 | 2022-03-10 | Waushara | Wisconsin | 55137 | 6355 | 84 |
2294492 | 2294492 | 2022-03-10 | Winnebago | Wisconsin | 55139 | 51222 | 362 |
2294493 | 2294493 | 2022-03-10 | Wood | Wisconsin | 55141 | 20718 | 217 |
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);