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 2022-05-10 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2492964 | 2492964 | 2022-05-10 | Adams | Wisconsin | 55001 | 4706 | 61 |
2492965 | 2492965 | 2022-05-10 | Ashland | Wisconsin | 55003 | 3340 | 36 |
2492966 | 2492966 | 2022-05-10 | Barron | Wisconsin | 55005 | 13704 | 144 |
2492967 | 2492967 | 2022-05-10 | Bayfield | Wisconsin | 55007 | 3402 | 41 |
2492968 | 2492968 | 2022-05-10 | Brown | Wisconsin | 55009 | 85368 | 556 |
2492969 | 2492969 | 2022-05-10 | Buffalo | Wisconsin | 55011 | 3592 | 12 |
2492970 | 2492970 | 2022-05-10 | Burnett | Wisconsin | 55013 | 4038 | 43 |
2492971 | 2492971 | 2022-05-10 | Calumet | Wisconsin | 55015 | 14717 | 121 |
2492972 | 2492972 | 2022-05-10 | Chippewa | Wisconsin | 55017 | 19035 | 187 |
2492973 | 2492973 | 2022-05-10 | Clark | Wisconsin | 55019 | 7678 | 122 |
2492974 | 2492974 | 2022-05-10 | Columbia | Wisconsin | 55021 | 15722 | 128 |
2492975 | 2492975 | 2022-05-10 | Crawford | Wisconsin | 55023 | 4281 | 28 |
2492976 | 2492976 | 2022-05-10 | Dane | Wisconsin | 55025 | 133070 | 515 |
2492977 | 2492977 | 2022-05-10 | Dodge | Wisconsin | 55027 | 27493 | 339 |
2492978 | 2492978 | 2022-05-10 | Door | Wisconsin | 55029 | 7064 | 71 |
2492979 | 2492979 | 2022-05-10 | Douglas | Wisconsin | 55031 | 11891 | 79 |
2492980 | 2492980 | 2022-05-10 | Dunn | Wisconsin | 55033 | 13570 | 75 |
2492981 | 2492981 | 2022-05-10 | Eau Claire | Wisconsin | 55035 | 31132 | 187 |
2492982 | 2492982 | 2022-05-10 | Florence | Wisconsin | 55037 | 1090 | 17 |
2492983 | 2492983 | 2022-05-10 | Fond du Lac | Wisconsin | 55039 | 32372 | 277 |
2492984 | 2492984 | 2022-05-10 | Forest | Wisconsin | 55041 | 2686 | 52 |
2492985 | 2492985 | 2022-05-10 | Grant | Wisconsin | 55043 | 12896 | 145 |
2492986 | 2492986 | 2022-05-10 | Green | Wisconsin | 55045 | 9469 | 54 |
2492987 | 2492987 | 2022-05-10 | Green Lake | Wisconsin | 55047 | 5236 | 63 |
2492988 | 2492988 | 2022-05-10 | Iowa | Wisconsin | 55049 | 5394 | 28 |
2492989 | 2492989 | 2022-05-10 | Iron | Wisconsin | 55051 | 1481 | 47 |
2492990 | 2492990 | 2022-05-10 | Jackson | Wisconsin | 55053 | 5719 | 43 |
2492991 | 2492991 | 2022-05-10 | Jefferson | Wisconsin | 55055 | 21923 | 242 |
2492992 | 2492992 | 2022-05-10 | Juneau | Wisconsin | 55057 | 7808 | 68 |
2492993 | 2492993 | 2022-05-10 | Kenosha | Wisconsin | 55059 | 45071 | 631 |
2492994 | 2492994 | 2022-05-10 | Kewaunee | Wisconsin | 55061 | 5913 | 59 |
2492995 | 2492995 | 2022-05-10 | La Crosse | Wisconsin | 55063 | 35708 | 186 |
2492996 | 2492996 | 2022-05-10 | Lafayette | Wisconsin | 55065 | 3714 | 26 |
2492997 | 2492997 | 2022-05-10 | Langlade | Wisconsin | 55067 | 5274 | 92 |
2492998 | 2492998 | 2022-05-10 | Lincoln | Wisconsin | 55069 | 7145 | 148 |
2492999 | 2492999 | 2022-05-10 | Manitowoc | Wisconsin | 55071 | 20730 | 189 |
2493000 | 2493000 | 2022-05-10 | Marathon | Wisconsin | 55073 | 40111 | 490 |
2493001 | 2493001 | 2022-05-10 | Marinette | Wisconsin | 55075 | 11723 | 126 |
2493002 | 2493002 | 2022-05-10 | Marquette | Wisconsin | 55077 | 3855 | 61 |
2493003 | 2493003 | 2022-05-10 | Menominee | Wisconsin | 55078 | 1973 | 14 |
2493004 | 2493004 | 2022-05-10 | Milwaukee | Wisconsin | 55079 | 275957 | 2290 |
2493005 | 2493005 | 2022-05-10 | Monroe | Wisconsin | 55081 | 12244 | 91 |
2493006 | 2493006 | 2022-05-10 | Oconto | Wisconsin | 55083 | 11496 | 120 |
2493007 | 2493007 | 2022-05-10 | Oneida | Wisconsin | 55085 | 8576 | 139 |
2493008 | 2493008 | 2022-05-10 | Outagamie | Wisconsin | 55087 | 55129 | 406 |
2493009 | 2493009 | 2022-05-10 | Ozaukee | Wisconsin | 55089 | 22989 | 186 |
2493010 | 2493010 | 2022-05-10 | Pepin | Wisconsin | 55091 | 1994 | 18 |
2493011 | 2493011 | 2022-05-10 | Pierce | Wisconsin | 55093 | 11824 | 73 |
2493012 | 2493012 | 2022-05-10 | Polk | Wisconsin | 55095 | 12645 | 122 |
2493013 | 2493013 | 2022-05-10 | Portage | Wisconsin | 55097 | 18400 | 161 |
2493014 | 2493014 | 2022-05-10 | Price | Wisconsin | 55099 | 3275 | 33 |
2493015 | 2493015 | 2022-05-10 | Racine | Wisconsin | 55101 | 57363 | 690 |
2493016 | 2493016 | 2022-05-10 | Richland | Wisconsin | 55103 | 3969 | 48 |
2493017 | 2493017 | 2022-05-10 | Rock | Wisconsin | 55105 | 44050 | 395 |
2493018 | 2493018 | 2022-05-10 | Rusk | Wisconsin | 55107 | 3458 | 55 |
2493019 | 2493019 | 2022-05-10 | Sauk | Wisconsin | 55111 | 16376 | 136 |
2493020 | 2493020 | 2022-05-10 | Sawyer | Wisconsin | 55113 | 4607 | 62 |
2493021 | 2493021 | 2022-05-10 | Shawano | Wisconsin | 55115 | 11918 | 152 |
2493022 | 2493022 | 2022-05-10 | Sheboygan | Wisconsin | 55117 | 32963 | 319 |
2493023 | 2493023 | 2022-05-10 | St. Croix | Wisconsin | 55109 | 25505 | 149 |
2493024 | 2493024 | 2022-05-10 | Taylor | Wisconsin | 55119 | 4875 | 72 |
2493025 | 2493025 | 2022-05-10 | Trempealeau | Wisconsin | 55121 | 8517 | 64 |
2493026 | 2493026 | 2022-05-10 | Vernon | Wisconsin | 55123 | 6212 | 98 |
2493027 | 2493027 | 2022-05-10 | Vilas | Wisconsin | 55125 | 5256 | 89 |
2493028 | 2493028 | 2022-05-10 | Walworth | Wisconsin | 55127 | 27224 | 280 |
2493029 | 2493029 | 2022-05-10 | Washburn | Wisconsin | 55129 | 4058 | 46 |
2493030 | 2493030 | 2022-05-10 | Washington | Wisconsin | 55131 | 38788 | 342 |
2493031 | 2493031 | 2022-05-10 | Waukesha | Wisconsin | 55133 | 115197 | 1093 |
2493032 | 2493032 | 2022-05-10 | Waupaca | Wisconsin | 55135 | 13774 | 252 |
2493033 | 2493033 | 2022-05-10 | Waushara | Wisconsin | 55137 | 6491 | 87 |
2493034 | 2493034 | 2022-05-10 | Winnebago | Wisconsin | 55139 | 52819 | 381 |
2493035 | 2493035 | 2022-05-10 | Wood | Wisconsin | 55141 | 21360 | 233 |
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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);