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 2022-04-17 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2418065 | 2418065 | 2022-04-17 | Adams | Wisconsin | 55001 | 4643 | 61 |
2418066 | 2418066 | 2022-04-17 | Ashland | Wisconsin | 55003 | 3286 | 36 |
2418067 | 2418067 | 2022-04-17 | Barron | Wisconsin | 55005 | 13485 | 143 |
2418068 | 2418068 | 2022-04-17 | Bayfield | Wisconsin | 55007 | 3306 | 40 |
2418069 | 2418069 | 2022-04-17 | Brown | Wisconsin | 55009 | 84190 | 549 |
2418070 | 2418070 | 2022-04-17 | Buffalo | Wisconsin | 55011 | 3511 | 12 |
2418071 | 2418071 | 2022-04-17 | Burnett | Wisconsin | 55013 | 3980 | 43 |
2418072 | 2418072 | 2022-04-17 | Calumet | Wisconsin | 55015 | 14517 | 121 |
2418073 | 2418073 | 2022-04-17 | Chippewa | Wisconsin | 55017 | 18684 | 182 |
2418074 | 2418074 | 2022-04-17 | Clark | Wisconsin | 55019 | 7607 | 121 |
2418075 | 2418075 | 2022-04-17 | Columbia | Wisconsin | 55021 | 15280 | 127 |
2418076 | 2418076 | 2022-04-17 | Crawford | Wisconsin | 55023 | 4237 | 28 |
2418077 | 2418077 | 2022-04-17 | Dane | Wisconsin | 55025 | 126317 | 507 |
2418078 | 2418078 | 2022-04-17 | Dodge | Wisconsin | 55027 | 27221 | 339 |
2418079 | 2418079 | 2022-04-17 | Door | Wisconsin | 55029 | 6967 | 71 |
2418080 | 2418080 | 2022-04-17 | Douglas | Wisconsin | 55031 | 11620 | 79 |
2418081 | 2418081 | 2022-04-17 | Dunn | Wisconsin | 55033 | 13309 | 75 |
2418082 | 2418082 | 2022-04-17 | Eau Claire | Wisconsin | 55035 | 30279 | 185 |
2418083 | 2418083 | 2022-04-17 | Florence | Wisconsin | 55037 | 1081 | 16 |
2418084 | 2418084 | 2022-04-17 | Fond du Lac | Wisconsin | 55039 | 31832 | 273 |
2418085 | 2418085 | 2022-04-17 | Forest | Wisconsin | 55041 | 2672 | 52 |
2418086 | 2418086 | 2022-04-17 | Grant | Wisconsin | 55043 | 12703 | 145 |
2418087 | 2418087 | 2022-04-17 | Green | Wisconsin | 55045 | 9217 | 53 |
2418088 | 2418088 | 2022-04-17 | Green Lake | Wisconsin | 55047 | 5118 | 63 |
2418089 | 2418089 | 2022-04-17 | Iowa | Wisconsin | 55049 | 5259 | 28 |
2418090 | 2418090 | 2022-04-17 | Iron | Wisconsin | 55051 | 1468 | 47 |
2418091 | 2418091 | 2022-04-17 | Jackson | Wisconsin | 55053 | 5658 | 43 |
2418092 | 2418092 | 2022-04-17 | Jefferson | Wisconsin | 55055 | 21529 | 240 |
2418093 | 2418093 | 2022-04-17 | Juneau | Wisconsin | 55057 | 7691 | 68 |
2418094 | 2418094 | 2022-04-17 | Kenosha | Wisconsin | 55059 | 44255 | 626 |
2418095 | 2418095 | 2022-04-17 | Kewaunee | Wisconsin | 55061 | 5839 | 59 |
2418096 | 2418096 | 2022-04-17 | La Crosse | Wisconsin | 55063 | 34861 | 182 |
2418097 | 2418097 | 2022-04-17 | Lafayette | Wisconsin | 55065 | 3659 | 24 |
2418098 | 2418098 | 2022-04-17 | Langlade | Wisconsin | 55067 | 5202 | 90 |
2418099 | 2418099 | 2022-04-17 | Lincoln | Wisconsin | 55069 | 7022 | 148 |
2418100 | 2418100 | 2022-04-17 | Manitowoc | Wisconsin | 55071 | 20441 | 187 |
2418101 | 2418101 | 2022-04-17 | Marathon | Wisconsin | 55073 | 39263 | 489 |
2418102 | 2418102 | 2022-04-17 | Marinette | Wisconsin | 55075 | 11610 | 123 |
2418103 | 2418103 | 2022-04-17 | Marquette | Wisconsin | 55077 | 3809 | 61 |
2418104 | 2418104 | 2022-04-17 | Menominee | Wisconsin | 55078 | 1900 | 14 |
2418105 | 2418105 | 2022-04-17 | Milwaukee | Wisconsin | 55079 | 269780 | 2285 |
2418106 | 2418106 | 2022-04-17 | Monroe | Wisconsin | 55081 | 12015 | 89 |
2418107 | 2418107 | 2022-04-17 | Oconto | Wisconsin | 55083 | 11393 | 119 |
2418108 | 2418108 | 2022-04-17 | Oneida | Wisconsin | 55085 | 8495 | 138 |
2418109 | 2418109 | 2022-04-17 | Outagamie | Wisconsin | 55087 | 54391 | 404 |
2418110 | 2418110 | 2022-04-17 | Ozaukee | Wisconsin | 55089 | 22306 | 185 |
2418111 | 2418111 | 2022-04-17 | Pepin | Wisconsin | 55091 | 1968 | 18 |
2418112 | 2418112 | 2022-04-17 | Pierce | Wisconsin | 55093 | 11569 | 73 |
2418113 | 2418113 | 2022-04-17 | Polk | Wisconsin | 55095 | 12351 | 122 |
2418114 | 2418114 | 2022-04-17 | Portage | Wisconsin | 55097 | 18021 | 160 |
2418115 | 2418115 | 2022-04-17 | Price | Wisconsin | 55099 | 3251 | 33 |
2418116 | 2418116 | 2022-04-17 | Racine | Wisconsin | 55101 | 56451 | 688 |
2418117 | 2418117 | 2022-04-17 | Richland | Wisconsin | 55103 | 3863 | 48 |
2418118 | 2418118 | 2022-04-17 | Rock | Wisconsin | 55105 | 43057 | 391 |
2418119 | 2418119 | 2022-04-17 | Rusk | Wisconsin | 55107 | 3418 | 54 |
2418120 | 2418120 | 2022-04-17 | Sauk | Wisconsin | 55111 | 15906 | 132 |
2418121 | 2418121 | 2022-04-17 | Sawyer | Wisconsin | 55113 | 4560 | 62 |
2418122 | 2418122 | 2022-04-17 | Shawano | Wisconsin | 55115 | 11651 | 150 |
2418123 | 2418123 | 2022-04-17 | Sheboygan | Wisconsin | 55117 | 32516 | 316 |
2418124 | 2418124 | 2022-04-17 | St. Croix | Wisconsin | 55109 | 24780 | 148 |
2418125 | 2418125 | 2022-04-17 | Taylor | Wisconsin | 55119 | 4831 | 72 |
2418126 | 2418126 | 2022-04-17 | Trempealeau | Wisconsin | 55121 | 8398 | 63 |
2418127 | 2418127 | 2022-04-17 | Vernon | Wisconsin | 55123 | 6043 | 96 |
2418128 | 2418128 | 2022-04-17 | Vilas | Wisconsin | 55125 | 5221 | 89 |
2418129 | 2418129 | 2022-04-17 | Walworth | Wisconsin | 55127 | 26979 | 279 |
2418130 | 2418130 | 2022-04-17 | Washburn | Wisconsin | 55129 | 3987 | 46 |
2418131 | 2418131 | 2022-04-17 | Washington | Wisconsin | 55131 | 38070 | 341 |
2418132 | 2418132 | 2022-04-17 | Waukesha | Wisconsin | 55133 | 112662 | 1091 |
2418133 | 2418133 | 2022-04-17 | Waupaca | Wisconsin | 55135 | 13631 | 251 |
2418134 | 2418134 | 2022-04-17 | Waushara | Wisconsin | 55137 | 6395 | 87 |
2418135 | 2418135 | 2022-04-17 | Winnebago | Wisconsin | 55139 | 51726 | 380 |
2418136 | 2418136 | 2022-04-17 | Wood | Wisconsin | 55141 | 20957 | 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);