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 2022-01-25 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2151322 | 2151322 | 2022-01-25 | Adams | Wisconsin | 55001 | 4221 | 46 |
2151323 | 2151323 | 2022-01-25 | Ashland | Wisconsin | 55003 | 2903 | 29 |
2151324 | 2151324 | 2022-01-25 | Barron | Wisconsin | 55005 | 12486 | 124 |
2151325 | 2151325 | 2022-01-25 | Bayfield | Wisconsin | 55007 | 2835 | 35 |
2151326 | 2151326 | 2022-01-25 | Brown | Wisconsin | 55009 | 78747 | 408 |
2151327 | 2151327 | 2022-01-25 | Buffalo | Wisconsin | 55011 | 3105 | 11 |
2151328 | 2151328 | 2022-01-25 | Burnett | Wisconsin | 55013 | 3611 | 37 |
2151329 | 2151329 | 2022-01-25 | Calumet | Wisconsin | 55015 | 13620 | 101 |
2151330 | 2151330 | 2022-01-25 | Chippewa | Wisconsin | 55017 | 17308 | 156 |
2151331 | 2151331 | 2022-01-25 | Clark | Wisconsin | 55019 | 7139 | 111 |
2151332 | 2151332 | 2022-01-25 | Columbia | Wisconsin | 55021 | 13813 | 113 |
2151333 | 2151333 | 2022-01-25 | Crawford | Wisconsin | 55023 | 3843 | 28 |
2151334 | 2151334 | 2022-01-25 | Dane | Wisconsin | 55025 | 110880 | 450 |
2151335 | 2151335 | 2022-01-25 | Dodge | Wisconsin | 55027 | 25157 | 290 |
2151336 | 2151336 | 2022-01-25 | Door | Wisconsin | 55029 | 6564 | 53 |
2151337 | 2151337 | 2022-01-25 | Douglas | Wisconsin | 55031 | 10313 | 71 |
2151338 | 2151338 | 2022-01-25 | Dunn | Wisconsin | 55033 | 12134 | 63 |
2151339 | 2151339 | 2022-01-25 | Eau Claire | Wisconsin | 55035 | 27461 | 171 |
2151340 | 2151340 | 2022-01-25 | Florence | Wisconsin | 55037 | 963 | 15 |
2151341 | 2151341 | 2022-01-25 | Fond du Lac | Wisconsin | 55039 | 29545 | 205 |
2151342 | 2151342 | 2022-01-25 | Forest | Wisconsin | 55041 | 2447 | 47 |
2151343 | 2151343 | 2022-01-25 | Grant | Wisconsin | 55043 | 11619 | 135 |
2151344 | 2151344 | 2022-01-25 | Green | Wisconsin | 55045 | 8177 | 48 |
2151345 | 2151345 | 2022-01-25 | Green Lake | Wisconsin | 55047 | 4630 | 53 |
2151346 | 2151346 | 2022-01-25 | Iowa | Wisconsin | 55049 | 4620 | 24 |
2151347 | 2151347 | 2022-01-25 | Iron | Wisconsin | 55051 | 1366 | 44 |
2151348 | 2151348 | 2022-01-25 | Jackson | Wisconsin | 55053 | 5345 | 40 |
2151349 | 2151349 | 2022-01-25 | Jefferson | Wisconsin | 55055 | 19780 | 202 |
2151350 | 2151350 | 2022-01-25 | Juneau | Wisconsin | 55057 | 7148 | 57 |
2151351 | 2151351 | 2022-01-25 | Kenosha | Wisconsin | 55059 | 41672 | 550 |
2151352 | 2151352 | 2022-01-25 | Kewaunee | Wisconsin | 55061 | 5574 | 53 |
2151353 | 2151353 | 2022-01-25 | La Crosse | Wisconsin | 55063 | 31325 | 150 |
2151354 | 2151354 | 2022-01-25 | Lafayette | Wisconsin | 55065 | 3360 | 18 |
2151355 | 2151355 | 2022-01-25 | Langlade | Wisconsin | 55067 | 4856 | 69 |
2151356 | 2151356 | 2022-01-25 | Lincoln | Wisconsin | 55069 | 6452 | 126 |
2151357 | 2151357 | 2022-01-25 | Manitowoc | Wisconsin | 55071 | 19058 | 163 |
2151358 | 2151358 | 2022-01-25 | Marathon | Wisconsin | 55073 | 36232 | 442 |
2151359 | 2151359 | 2022-01-25 | Marinette | Wisconsin | 55075 | 10711 | 100 |
2151360 | 2151360 | 2022-01-25 | Marquette | Wisconsin | 55077 | 3529 | 46 |
2151361 | 2151361 | 2022-01-25 | Menominee | Wisconsin | 55078 | 1737 | 12 |
2151362 | 2151362 | 2022-01-25 | Milwaukee | Wisconsin | 55079 | 257126 | 1943 |
2151363 | 2151363 | 2022-01-25 | Monroe | Wisconsin | 55081 | 10910 | 73 |
2151364 | 2151364 | 2022-01-25 | Oconto | Wisconsin | 55083 | 10799 | 90 |
2151365 | 2151365 | 2022-01-25 | Oneida | Wisconsin | 55085 | 7912 | 120 |
2151366 | 2151366 | 2022-01-25 | Outagamie | Wisconsin | 55087 | 51005 | 323 |
2151367 | 2151367 | 2022-01-25 | Ozaukee | Wisconsin | 55089 | 20699 | 138 |
2151368 | 2151368 | 2022-01-25 | Pepin | Wisconsin | 55091 | 1806 | 16 |
2151369 | 2151369 | 2022-01-25 | Pierce | Wisconsin | 55093 | 10597 | 65 |
2151370 | 2151370 | 2022-01-25 | Polk | Wisconsin | 55095 | 11229 | 112 |
2151371 | 2151371 | 2022-01-25 | Portage | Wisconsin | 55097 | 16634 | 135 |
2151372 | 2151372 | 2022-01-25 | Price | Wisconsin | 55099 | 2983 | 27 |
2151373 | 2151373 | 2022-01-25 | Racine | Wisconsin | 55101 | 53442 | 587 |
2151374 | 2151374 | 2022-01-25 | Richland | Wisconsin | 55103 | 3450 | 38 |
2151375 | 2151375 | 2022-01-25 | Rock | Wisconsin | 55105 | 38988 | 311 |
2151376 | 2151376 | 2022-01-25 | Rusk | Wisconsin | 55107 | 3196 | 45 |
2151377 | 2151377 | 2022-01-25 | Sauk | Wisconsin | 55111 | 14614 | 91 |
2151378 | 2151378 | 2022-01-25 | Sawyer | Wisconsin | 55113 | 4257 | 53 |
2151379 | 2151379 | 2022-01-25 | Shawano | Wisconsin | 55115 | 11008 | 121 |
2151380 | 2151380 | 2022-01-25 | Sheboygan | Wisconsin | 55117 | 30053 | 223 |
2151381 | 2151381 | 2022-01-25 | St. Croix | Wisconsin | 55109 | 22510 | 125 |
2151382 | 2151382 | 2022-01-25 | Taylor | Wisconsin | 55119 | 4563 | 63 |
2151383 | 2151383 | 2022-01-25 | Trempealeau | Wisconsin | 55121 | 7787 | 58 |
2151384 | 2151384 | 2022-01-25 | Vernon | Wisconsin | 55123 | 5262 | 78 |
2151385 | 2151385 | 2022-01-25 | Vilas | Wisconsin | 55125 | 4783 | 83 |
2151386 | 2151386 | 2022-01-25 | Walworth | Wisconsin | 55127 | 25234 | 250 |
2151387 | 2151387 | 2022-01-25 | Washburn | Wisconsin | 55129 | 3648 | 39 |
2151388 | 2151388 | 2022-01-25 | Washington | Wisconsin | 55131 | 36056 | 263 |
2151389 | 2151389 | 2022-01-25 | Waukesha | Wisconsin | 55133 | 105955 | 912 |
2151390 | 2151390 | 2022-01-25 | Waupaca | Wisconsin | 55135 | 12728 | 234 |
2151391 | 2151391 | 2022-01-25 | Waushara | Wisconsin | 55137 | 5894 | 76 |
2151392 | 2151392 | 2022-01-25 | Winnebago | Wisconsin | 55139 | 47202 | 330 |
2151393 | 2151393 | 2022-01-25 | Wood | Wisconsin | 55141 | 18941 | 195 |
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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);