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 2022-04-25 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2444113 | 2444113 | 2022-04-25 | Adams | Wisconsin | 55001 | 4653 | 61 |
2444114 | 2444114 | 2022-04-25 | Ashland | Wisconsin | 55003 | 3306 | 36 |
2444115 | 2444115 | 2022-04-25 | Barron | Wisconsin | 55005 | 13558 | 143 |
2444116 | 2444116 | 2022-04-25 | Bayfield | Wisconsin | 55007 | 3333 | 40 |
2444117 | 2444117 | 2022-04-25 | Brown | Wisconsin | 55009 | 84474 | 551 |
2444118 | 2444118 | 2022-04-25 | Buffalo | Wisconsin | 55011 | 3534 | 12 |
2444119 | 2444119 | 2022-04-25 | Burnett | Wisconsin | 55013 | 4000 | 43 |
2444120 | 2444120 | 2022-04-25 | Calumet | Wisconsin | 55015 | 14558 | 121 |
2444121 | 2444121 | 2022-04-25 | Chippewa | Wisconsin | 55017 | 18795 | 182 |
2444122 | 2444122 | 2022-04-25 | Clark | Wisconsin | 55019 | 7623 | 122 |
2444123 | 2444123 | 2022-04-25 | Columbia | Wisconsin | 55021 | 15387 | 127 |
2444124 | 2444124 | 2022-04-25 | Crawford | Wisconsin | 55023 | 4246 | 28 |
2444125 | 2444125 | 2022-04-25 | Dane | Wisconsin | 55025 | 128380 | 509 |
2444126 | 2444126 | 2022-04-25 | Dodge | Wisconsin | 55027 | 27276 | 339 |
2444127 | 2444127 | 2022-04-25 | Door | Wisconsin | 55029 | 6980 | 71 |
2444128 | 2444128 | 2022-04-25 | Douglas | Wisconsin | 55031 | 11700 | 79 |
2444129 | 2444129 | 2022-04-25 | Dunn | Wisconsin | 55033 | 13362 | 75 |
2444130 | 2444130 | 2022-04-25 | Eau Claire | Wisconsin | 55035 | 30461 | 185 |
2444131 | 2444131 | 2022-04-25 | Florence | Wisconsin | 55037 | 1084 | 16 |
2444132 | 2444132 | 2022-04-25 | Fond du Lac | Wisconsin | 55039 | 31951 | 273 |
2444133 | 2444133 | 2022-04-25 | Forest | Wisconsin | 55041 | 2680 | 52 |
2444134 | 2444134 | 2022-04-25 | Grant | Wisconsin | 55043 | 12755 | 145 |
2444135 | 2444135 | 2022-04-25 | Green | Wisconsin | 55045 | 9284 | 53 |
2444136 | 2444136 | 2022-04-25 | Green Lake | Wisconsin | 55047 | 5154 | 63 |
2444137 | 2444137 | 2022-04-25 | Iowa | Wisconsin | 55049 | 5280 | 28 |
2444138 | 2444138 | 2022-04-25 | Iron | Wisconsin | 55051 | 1471 | 47 |
2444139 | 2444139 | 2022-04-25 | Jackson | Wisconsin | 55053 | 5671 | 43 |
2444140 | 2444140 | 2022-04-25 | Jefferson | Wisconsin | 55055 | 21663 | 241 |
2444141 | 2444141 | 2022-04-25 | Juneau | Wisconsin | 55057 | 7726 | 68 |
2444142 | 2444142 | 2022-04-25 | Kenosha | Wisconsin | 55059 | 44451 | 627 |
2444143 | 2444143 | 2022-04-25 | Kewaunee | Wisconsin | 55061 | 5849 | 59 |
2444144 | 2444144 | 2022-04-25 | La Crosse | Wisconsin | 55063 | 35124 | 182 |
2444145 | 2444145 | 2022-04-25 | Lafayette | Wisconsin | 55065 | 3681 | 24 |
2444146 | 2444146 | 2022-04-25 | Langlade | Wisconsin | 55067 | 5212 | 90 |
2444147 | 2444147 | 2022-04-25 | Lincoln | Wisconsin | 55069 | 7048 | 148 |
2444148 | 2444148 | 2022-04-25 | Manitowoc | Wisconsin | 55071 | 20512 | 187 |
2444149 | 2444149 | 2022-04-25 | Marathon | Wisconsin | 55073 | 39459 | 490 |
2444150 | 2444150 | 2022-04-25 | Marinette | Wisconsin | 55075 | 11635 | 123 |
2444151 | 2444151 | 2022-04-25 | Marquette | Wisconsin | 55077 | 3821 | 61 |
2444152 | 2444152 | 2022-04-25 | Menominee | Wisconsin | 55078 | 1901 | 14 |
2444153 | 2444153 | 2022-04-25 | Milwaukee | Wisconsin | 55079 | 271352 | 2286 |
2444154 | 2444154 | 2022-04-25 | Monroe | Wisconsin | 55081 | 12085 | 89 |
2444155 | 2444155 | 2022-04-25 | Oconto | Wisconsin | 55083 | 11428 | 119 |
2444156 | 2444156 | 2022-04-25 | Oneida | Wisconsin | 55085 | 8514 | 138 |
2444157 | 2444157 | 2022-04-25 | Outagamie | Wisconsin | 55087 | 54656 | 405 |
2444158 | 2444158 | 2022-04-25 | Ozaukee | Wisconsin | 55089 | 22483 | 186 |
2444159 | 2444159 | 2022-04-25 | Pepin | Wisconsin | 55091 | 1972 | 18 |
2444160 | 2444160 | 2022-04-25 | Pierce | Wisconsin | 55093 | 11627 | 73 |
2444161 | 2444161 | 2022-04-25 | Polk | Wisconsin | 55095 | 12453 | 122 |
2444162 | 2444162 | 2022-04-25 | Portage | Wisconsin | 55097 | 18132 | 160 |
2444163 | 2444163 | 2022-04-25 | Price | Wisconsin | 55099 | 3255 | 33 |
2444164 | 2444164 | 2022-04-25 | Racine | Wisconsin | 55101 | 56673 | 688 |
2444165 | 2444165 | 2022-04-25 | Richland | Wisconsin | 55103 | 3890 | 48 |
2444166 | 2444166 | 2022-04-25 | Rock | Wisconsin | 55105 | 43327 | 391 |
2444167 | 2444167 | 2022-04-25 | Rusk | Wisconsin | 55107 | 3425 | 55 |
2444168 | 2444168 | 2022-04-25 | Sauk | Wisconsin | 55111 | 16027 | 132 |
2444169 | 2444169 | 2022-04-25 | Sawyer | Wisconsin | 55113 | 4570 | 62 |
2444170 | 2444170 | 2022-04-25 | Shawano | Wisconsin | 55115 | 11681 | 150 |
2444171 | 2444171 | 2022-04-25 | Sheboygan | Wisconsin | 55117 | 32635 | 317 |
2444172 | 2444172 | 2022-04-25 | St. Croix | Wisconsin | 55109 | 24954 | 148 |
2444173 | 2444173 | 2022-04-25 | Taylor | Wisconsin | 55119 | 4838 | 72 |
2444174 | 2444174 | 2022-04-25 | Trempealeau | Wisconsin | 55121 | 8425 | 64 |
2444175 | 2444175 | 2022-04-25 | Vernon | Wisconsin | 55123 | 6080 | 96 |
2444176 | 2444176 | 2022-04-25 | Vilas | Wisconsin | 55125 | 5228 | 89 |
2444177 | 2444177 | 2022-04-25 | Walworth | Wisconsin | 55127 | 27045 | 280 |
2444178 | 2444178 | 2022-04-25 | Washburn | Wisconsin | 55129 | 4008 | 46 |
2444179 | 2444179 | 2022-04-25 | Washington | Wisconsin | 55131 | 38242 | 341 |
2444180 | 2444180 | 2022-04-25 | Waukesha | Wisconsin | 55133 | 113348 | 1091 |
2444181 | 2444181 | 2022-04-25 | Waupaca | Wisconsin | 55135 | 13655 | 251 |
2444182 | 2444182 | 2022-04-25 | Waushara | Wisconsin | 55137 | 6420 | 87 |
2444183 | 2444183 | 2022-04-25 | Winnebago | Wisconsin | 55139 | 52006 | 380 |
2444184 | 2444184 | 2022-04-25 | Wood | Wisconsin | 55141 | 21058 | 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);