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 2022-04-01 and state = "Wisconsin" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2365987 | 2365987 | 2022-04-01 | Adams | Wisconsin | 55001 | 4631 | 61 |
2365988 | 2365988 | 2022-04-01 | Ashland | Wisconsin | 55003 | 3274 | 36 |
2365989 | 2365989 | 2022-04-01 | Barron | Wisconsin | 55005 | 13436 | 143 |
2365990 | 2365990 | 2022-04-01 | Bayfield | Wisconsin | 55007 | 3272 | 40 |
2365991 | 2365991 | 2022-04-01 | Brown | Wisconsin | 55009 | 83856 | 544 |
2365992 | 2365992 | 2022-04-01 | Buffalo | Wisconsin | 55011 | 3472 | 12 |
2365993 | 2365993 | 2022-04-01 | Burnett | Wisconsin | 55013 | 3967 | 43 |
2365994 | 2365994 | 2022-04-01 | Calumet | Wisconsin | 55015 | 14460 | 121 |
2365995 | 2365995 | 2022-04-01 | Chippewa | Wisconsin | 55017 | 18619 | 179 |
2365996 | 2365996 | 2022-04-01 | Clark | Wisconsin | 55019 | 7594 | 121 |
2365997 | 2365997 | 2022-04-01 | Columbia | Wisconsin | 55021 | 15189 | 127 |
2365998 | 2365998 | 2022-04-01 | Crawford | Wisconsin | 55023 | 4227 | 28 |
2365999 | 2365999 | 2022-04-01 | Dane | Wisconsin | 55025 | 124422 | 503 |
2366000 | 2366000 | 2022-04-01 | Dodge | Wisconsin | 55027 | 27068 | 336 |
2366001 | 2366001 | 2022-04-01 | Door | Wisconsin | 55029 | 6945 | 71 |
2366002 | 2366002 | 2022-04-01 | Douglas | Wisconsin | 55031 | 11532 | 76 |
2366003 | 2366003 | 2022-04-01 | Dunn | Wisconsin | 55033 | 13267 | 74 |
2366004 | 2366004 | 2022-04-01 | Eau Claire | Wisconsin | 55035 | 30083 | 185 |
2366005 | 2366005 | 2022-04-01 | Florence | Wisconsin | 55037 | 1081 | 16 |
2366006 | 2366006 | 2022-04-01 | Fond du Lac | Wisconsin | 55039 | 31684 | 271 |
2366007 | 2366007 | 2022-04-01 | Forest | Wisconsin | 55041 | 2668 | 51 |
2366008 | 2366008 | 2022-04-01 | Grant | Wisconsin | 55043 | 12647 | 143 |
2366009 | 2366009 | 2022-04-01 | Green | Wisconsin | 55045 | 9107 | 53 |
2366010 | 2366010 | 2022-04-01 | Green Lake | Wisconsin | 55047 | 5074 | 63 |
2366011 | 2366011 | 2022-04-01 | Iowa | Wisconsin | 55049 | 5229 | 28 |
2366012 | 2366012 | 2022-04-01 | Iron | Wisconsin | 55051 | 1466 | 47 |
2366013 | 2366013 | 2022-04-01 | Jackson | Wisconsin | 55053 | 5643 | 43 |
2366014 | 2366014 | 2022-04-01 | Jefferson | Wisconsin | 55055 | 21446 | 240 |
2366015 | 2366015 | 2022-04-01 | Juneau | Wisconsin | 55057 | 7669 | 69 |
2366016 | 2366016 | 2022-04-01 | Kenosha | Wisconsin | 55059 | 43935 | 624 |
2366017 | 2366017 | 2022-04-01 | Kewaunee | Wisconsin | 55061 | 5824 | 59 |
2366018 | 2366018 | 2022-04-01 | La Crosse | Wisconsin | 55063 | 34664 | 181 |
2366019 | 2366019 | 2022-04-01 | Lafayette | Wisconsin | 55065 | 3630 | 22 |
2366020 | 2366020 | 2022-04-01 | Langlade | Wisconsin | 55067 | 5193 | 88 |
2366021 | 2366021 | 2022-04-01 | Lincoln | Wisconsin | 55069 | 7003 | 148 |
2366022 | 2366022 | 2022-04-01 | Manitowoc | Wisconsin | 55071 | 20382 | 187 |
2366023 | 2366023 | 2022-04-01 | Marathon | Wisconsin | 55073 | 39173 | 486 |
2366024 | 2366024 | 2022-04-01 | Marinette | Wisconsin | 55075 | 11574 | 122 |
2366025 | 2366025 | 2022-04-01 | Marquette | Wisconsin | 55077 | 3805 | 60 |
2366026 | 2366026 | 2022-04-01 | Menominee | Wisconsin | 55078 | 1900 | 14 |
2366027 | 2366027 | 2022-04-01 | Milwaukee | Wisconsin | 55079 | 268268 | 2276 |
2366028 | 2366028 | 2022-04-01 | Monroe | Wisconsin | 55081 | 11932 | 89 |
2366029 | 2366029 | 2022-04-01 | Oconto | Wisconsin | 55083 | 11376 | 118 |
2366030 | 2366030 | 2022-04-01 | Oneida | Wisconsin | 55085 | 8472 | 136 |
2366031 | 2366031 | 2022-04-01 | Outagamie | Wisconsin | 55087 | 54199 | 402 |
2366032 | 2366032 | 2022-04-01 | Ozaukee | Wisconsin | 55089 | 22121 | 184 |
2366033 | 2366033 | 2022-04-01 | Pepin | Wisconsin | 55091 | 1963 | 18 |
2366034 | 2366034 | 2022-04-01 | Pierce | Wisconsin | 55093 | 11510 | 72 |
2366035 | 2366035 | 2022-04-01 | Polk | Wisconsin | 55095 | 12280 | 122 |
2366036 | 2366036 | 2022-04-01 | Portage | Wisconsin | 55097 | 17931 | 160 |
2366037 | 2366037 | 2022-04-01 | Price | Wisconsin | 55099 | 3247 | 33 |
2366038 | 2366038 | 2022-04-01 | Racine | Wisconsin | 55101 | 56168 | 685 |
2366039 | 2366039 | 2022-04-01 | Richland | Wisconsin | 55103 | 3842 | 47 |
2366040 | 2366040 | 2022-04-01 | Rock | Wisconsin | 55105 | 42790 | 386 |
2366041 | 2366041 | 2022-04-01 | Rusk | Wisconsin | 55107 | 3405 | 54 |
2366042 | 2366042 | 2022-04-01 | Sauk | Wisconsin | 55111 | 15835 | 131 |
2366043 | 2366043 | 2022-04-01 | Sawyer | Wisconsin | 55113 | 4542 | 62 |
2366044 | 2366044 | 2022-04-01 | Shawano | Wisconsin | 55115 | 11635 | 150 |
2366045 | 2366045 | 2022-04-01 | Sheboygan | Wisconsin | 55117 | 32392 | 311 |
2366046 | 2366046 | 2022-04-01 | St. Croix | Wisconsin | 55109 | 24558 | 147 |
2366047 | 2366047 | 2022-04-01 | Taylor | Wisconsin | 55119 | 4818 | 72 |
2366048 | 2366048 | 2022-04-01 | Trempealeau | Wisconsin | 55121 | 8372 | 63 |
2366049 | 2366049 | 2022-04-01 | Vernon | Wisconsin | 55123 | 6009 | 96 |
2366050 | 2366050 | 2022-04-01 | Vilas | Wisconsin | 55125 | 5209 | 89 |
2366051 | 2366051 | 2022-04-01 | Walworth | Wisconsin | 55127 | 26857 | 278 |
2366052 | 2366052 | 2022-04-01 | Washburn | Wisconsin | 55129 | 3966 | 46 |
2366053 | 2366053 | 2022-04-01 | Washington | Wisconsin | 55131 | 37953 | 339 |
2366054 | 2366054 | 2022-04-01 | Waukesha | Wisconsin | 55133 | 111919 | 1089 |
2366055 | 2366055 | 2022-04-01 | Waupaca | Wisconsin | 55135 | 13602 | 250 |
2366056 | 2366056 | 2022-04-01 | Waushara | Wisconsin | 55137 | 6372 | 87 |
2366057 | 2366057 | 2022-04-01 | Winnebago | Wisconsin | 55139 | 51471 | 380 |
2366058 | 2366058 | 2022-04-01 | Wood | Wisconsin | 55141 | 20871 | 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);