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 2022-04-06 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2382254 | 2382254 | 2022-04-06 | Adams | Wisconsin | 55001 | 4634 | 61 |
2382255 | 2382255 | 2022-04-06 | Ashland | Wisconsin | 55003 | 3277 | 36 |
2382256 | 2382256 | 2022-04-06 | Barron | Wisconsin | 55005 | 13453 | 143 |
2382257 | 2382257 | 2022-04-06 | Bayfield | Wisconsin | 55007 | 3280 | 40 |
2382258 | 2382258 | 2022-04-06 | Brown | Wisconsin | 55009 | 83925 | 545 |
2382259 | 2382259 | 2022-04-06 | Buffalo | Wisconsin | 55011 | 3487 | 12 |
2382260 | 2382260 | 2022-04-06 | Burnett | Wisconsin | 55013 | 3968 | 43 |
2382261 | 2382261 | 2022-04-06 | Calumet | Wisconsin | 55015 | 14478 | 121 |
2382262 | 2382262 | 2022-04-06 | Chippewa | Wisconsin | 55017 | 18631 | 179 |
2382263 | 2382263 | 2022-04-06 | Clark | Wisconsin | 55019 | 7596 | 121 |
2382264 | 2382264 | 2022-04-06 | Columbia | Wisconsin | 55021 | 15207 | 127 |
2382265 | 2382265 | 2022-04-06 | Crawford | Wisconsin | 55023 | 4228 | 28 |
2382266 | 2382266 | 2022-04-06 | Dane | Wisconsin | 55025 | 124940 | 505 |
2382267 | 2382267 | 2022-04-06 | Dodge | Wisconsin | 55027 | 27168 | 338 |
2382268 | 2382268 | 2022-04-06 | Door | Wisconsin | 55029 | 6950 | 71 |
2382269 | 2382269 | 2022-04-06 | Douglas | Wisconsin | 55031 | 11544 | 76 |
2382270 | 2382270 | 2022-04-06 | Dunn | Wisconsin | 55033 | 13274 | 75 |
2382271 | 2382271 | 2022-04-06 | Eau Claire | Wisconsin | 55035 | 30125 | 185 |
2382272 | 2382272 | 2022-04-06 | Florence | Wisconsin | 55037 | 1083 | 16 |
2382273 | 2382273 | 2022-04-06 | Fond du Lac | Wisconsin | 55039 | 31730 | 272 |
2382274 | 2382274 | 2022-04-06 | Forest | Wisconsin | 55041 | 2668 | 51 |
2382275 | 2382275 | 2022-04-06 | Grant | Wisconsin | 55043 | 12652 | 145 |
2382276 | 2382276 | 2022-04-06 | Green | Wisconsin | 55045 | 9153 | 53 |
2382277 | 2382277 | 2022-04-06 | Green Lake | Wisconsin | 55047 | 5080 | 63 |
2382278 | 2382278 | 2022-04-06 | Iowa | Wisconsin | 55049 | 5241 | 28 |
2382279 | 2382279 | 2022-04-06 | Iron | Wisconsin | 55051 | 1467 | 47 |
2382280 | 2382280 | 2022-04-06 | Jackson | Wisconsin | 55053 | 5646 | 43 |
2382281 | 2382281 | 2022-04-06 | Jefferson | Wisconsin | 55055 | 21457 | 240 |
2382282 | 2382282 | 2022-04-06 | Juneau | Wisconsin | 55057 | 7673 | 68 |
2382283 | 2382283 | 2022-04-06 | Kenosha | Wisconsin | 55059 | 44010 | 624 |
2382284 | 2382284 | 2022-04-06 | Kewaunee | Wisconsin | 55061 | 5826 | 59 |
2382285 | 2382285 | 2022-04-06 | La Crosse | Wisconsin | 55063 | 34708 | 181 |
2382286 | 2382286 | 2022-04-06 | Lafayette | Wisconsin | 55065 | 3632 | 22 |
2382287 | 2382287 | 2022-04-06 | Langlade | Wisconsin | 55067 | 5195 | 89 |
2382288 | 2382288 | 2022-04-06 | Lincoln | Wisconsin | 55069 | 7006 | 148 |
2382289 | 2382289 | 2022-04-06 | Manitowoc | Wisconsin | 55071 | 20394 | 187 |
2382290 | 2382290 | 2022-04-06 | Marathon | Wisconsin | 55073 | 39180 | 488 |
2382291 | 2382291 | 2022-04-06 | Marinette | Wisconsin | 55075 | 11581 | 122 |
2382292 | 2382292 | 2022-04-06 | Marquette | Wisconsin | 55077 | 3806 | 61 |
2382293 | 2382293 | 2022-04-06 | Menominee | Wisconsin | 55078 | 1901 | 14 |
2382294 | 2382294 | 2022-04-06 | Milwaukee | Wisconsin | 55079 | 268548 | 2278 |
2382295 | 2382295 | 2022-04-06 | Monroe | Wisconsin | 55081 | 11955 | 89 |
2382296 | 2382296 | 2022-04-06 | Oconto | Wisconsin | 55083 | 11378 | 119 |
2382297 | 2382297 | 2022-04-06 | Oneida | Wisconsin | 55085 | 8476 | 136 |
2382298 | 2382298 | 2022-04-06 | Outagamie | Wisconsin | 55087 | 54256 | 402 |
2382299 | 2382299 | 2022-04-06 | Ozaukee | Wisconsin | 55089 | 22167 | 184 |
2382300 | 2382300 | 2022-04-06 | Pepin | Wisconsin | 55091 | 1963 | 18 |
2382301 | 2382301 | 2022-04-06 | Pierce | Wisconsin | 55093 | 11525 | 72 |
2382302 | 2382302 | 2022-04-06 | Polk | Wisconsin | 55095 | 12298 | 122 |
2382303 | 2382303 | 2022-04-06 | Portage | Wisconsin | 55097 | 17942 | 159 |
2382304 | 2382304 | 2022-04-06 | Price | Wisconsin | 55099 | 3248 | 33 |
2382305 | 2382305 | 2022-04-06 | Racine | Wisconsin | 55101 | 56251 | 685 |
2382306 | 2382306 | 2022-04-06 | Richland | Wisconsin | 55103 | 3847 | 47 |
2382307 | 2382307 | 2022-04-06 | Rock | Wisconsin | 55105 | 42864 | 388 |
2382308 | 2382308 | 2022-04-06 | Rusk | Wisconsin | 55107 | 3408 | 54 |
2382309 | 2382309 | 2022-04-06 | Sauk | Wisconsin | 55111 | 15851 | 131 |
2382310 | 2382310 | 2022-04-06 | Sawyer | Wisconsin | 55113 | 4551 | 62 |
2382311 | 2382311 | 2022-04-06 | Shawano | Wisconsin | 55115 | 11644 | 150 |
2382312 | 2382312 | 2022-04-06 | Sheboygan | Wisconsin | 55117 | 32424 | 312 |
2382313 | 2382313 | 2022-04-06 | St. Croix | Wisconsin | 55109 | 24611 | 147 |
2382314 | 2382314 | 2022-04-06 | Taylor | Wisconsin | 55119 | 4820 | 72 |
2382315 | 2382315 | 2022-04-06 | Trempealeau | Wisconsin | 55121 | 8382 | 63 |
2382316 | 2382316 | 2022-04-06 | Vernon | Wisconsin | 55123 | 6016 | 96 |
2382317 | 2382317 | 2022-04-06 | Vilas | Wisconsin | 55125 | 5214 | 89 |
2382318 | 2382318 | 2022-04-06 | Walworth | Wisconsin | 55127 | 26883 | 278 |
2382319 | 2382319 | 2022-04-06 | Washburn | Wisconsin | 55129 | 3974 | 46 |
2382320 | 2382320 | 2022-04-06 | Washington | Wisconsin | 55131 | 37993 | 339 |
2382321 | 2382321 | 2022-04-06 | Waukesha | Wisconsin | 55133 | 112075 | 1089 |
2382322 | 2382322 | 2022-04-06 | Waupaca | Wisconsin | 55135 | 13612 | 251 |
2382323 | 2382323 | 2022-04-06 | Waushara | Wisconsin | 55137 | 6380 | 87 |
2382324 | 2382324 | 2022-04-06 | Winnebago | Wisconsin | 55139 | 51529 | 380 |
2382325 | 2382325 | 2022-04-06 | Wood | Wisconsin | 55141 | 20886 | 230 |
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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);