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 2022-04-28 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2453881 | 2453881 | 2022-04-28 | Adams | Wisconsin | 55001 | 4654 | 61 |
2453882 | 2453882 | 2022-04-28 | Ashland | Wisconsin | 55003 | 3310 | 36 |
2453883 | 2453883 | 2022-04-28 | Barron | Wisconsin | 55005 | 13585 | 143 |
2453884 | 2453884 | 2022-04-28 | Bayfield | Wisconsin | 55007 | 3354 | 40 |
2453885 | 2453885 | 2022-04-28 | Brown | Wisconsin | 55009 | 84607 | 552 |
2453886 | 2453886 | 2022-04-28 | Buffalo | Wisconsin | 55011 | 3548 | 12 |
2453887 | 2453887 | 2022-04-28 | Burnett | Wisconsin | 55013 | 4006 | 43 |
2453888 | 2453888 | 2022-04-28 | Calumet | Wisconsin | 55015 | 14588 | 121 |
2453889 | 2453889 | 2022-04-28 | Chippewa | Wisconsin | 55017 | 18842 | 183 |
2453890 | 2453890 | 2022-04-28 | Clark | Wisconsin | 55019 | 7638 | 122 |
2453891 | 2453891 | 2022-04-28 | Columbia | Wisconsin | 55021 | 15458 | 127 |
2453892 | 2453892 | 2022-04-28 | Crawford | Wisconsin | 55023 | 4252 | 28 |
2453893 | 2453893 | 2022-04-28 | Dane | Wisconsin | 55025 | 129179 | 509 |
2453894 | 2453894 | 2022-04-28 | Dodge | Wisconsin | 55027 | 27312 | 339 |
2453895 | 2453895 | 2022-04-28 | Door | Wisconsin | 55029 | 6989 | 71 |
2453896 | 2453896 | 2022-04-28 | Douglas | Wisconsin | 55031 | 11727 | 79 |
2453897 | 2453897 | 2022-04-28 | Dunn | Wisconsin | 55033 | 13393 | 75 |
2453898 | 2453898 | 2022-04-28 | Eau Claire | Wisconsin | 55035 | 30590 | 185 |
2453899 | 2453899 | 2022-04-28 | Florence | Wisconsin | 55037 | 1086 | 16 |
2453900 | 2453900 | 2022-04-28 | Fond du Lac | Wisconsin | 55039 | 32019 | 273 |
2453901 | 2453901 | 2022-04-28 | Forest | Wisconsin | 55041 | 2680 | 52 |
2453902 | 2453902 | 2022-04-28 | Grant | Wisconsin | 55043 | 12779 | 145 |
2453903 | 2453903 | 2022-04-28 | Green | Wisconsin | 55045 | 9320 | 53 |
2453904 | 2453904 | 2022-04-28 | Green Lake | Wisconsin | 55047 | 5174 | 63 |
2453905 | 2453905 | 2022-04-28 | Iowa | Wisconsin | 55049 | 5310 | 28 |
2453906 | 2453906 | 2022-04-28 | Iron | Wisconsin | 55051 | 1473 | 47 |
2453907 | 2453907 | 2022-04-28 | Jackson | Wisconsin | 55053 | 5680 | 43 |
2453908 | 2453908 | 2022-04-28 | Jefferson | Wisconsin | 55055 | 21712 | 241 |
2453909 | 2453909 | 2022-04-28 | Juneau | Wisconsin | 55057 | 7734 | 68 |
2453910 | 2453910 | 2022-04-28 | Kenosha | Wisconsin | 55059 | 44536 | 627 |
2453911 | 2453911 | 2022-04-28 | Kewaunee | Wisconsin | 55061 | 5858 | 59 |
2453912 | 2453912 | 2022-04-28 | La Crosse | Wisconsin | 55063 | 35256 | 182 |
2453913 | 2453913 | 2022-04-28 | Lafayette | Wisconsin | 55065 | 3686 | 24 |
2453914 | 2453914 | 2022-04-28 | Langlade | Wisconsin | 55067 | 5218 | 90 |
2453915 | 2453915 | 2022-04-28 | Lincoln | Wisconsin | 55069 | 7060 | 148 |
2453916 | 2453916 | 2022-04-28 | Manitowoc | Wisconsin | 55071 | 20571 | 187 |
2453917 | 2453917 | 2022-04-28 | Marathon | Wisconsin | 55073 | 39561 | 490 |
2453918 | 2453918 | 2022-04-28 | Marinette | Wisconsin | 55075 | 11645 | 124 |
2453919 | 2453919 | 2022-04-28 | Marquette | Wisconsin | 55077 | 3827 | 61 |
2453920 | 2453920 | 2022-04-28 | Menominee | Wisconsin | 55078 | 1900 | 14 |
2453921 | 2453921 | 2022-04-28 | Milwaukee | Wisconsin | 55079 | 272187 | 2286 |
2453922 | 2453922 | 2022-04-28 | Monroe | Wisconsin | 55081 | 12114 | 89 |
2453923 | 2453923 | 2022-04-28 | Oconto | Wisconsin | 55083 | 11436 | 119 |
2453924 | 2453924 | 2022-04-28 | Oneida | Wisconsin | 55085 | 8521 | 138 |
2453925 | 2453925 | 2022-04-28 | Outagamie | Wisconsin | 55087 | 54748 | 405 |
2453926 | 2453926 | 2022-04-28 | Ozaukee | Wisconsin | 55089 | 22573 | 186 |
2453927 | 2453927 | 2022-04-28 | Pepin | Wisconsin | 55091 | 1977 | 18 |
2453928 | 2453928 | 2022-04-28 | Pierce | Wisconsin | 55093 | 11662 | 73 |
2453929 | 2453929 | 2022-04-28 | Polk | Wisconsin | 55095 | 12488 | 122 |
2453930 | 2453930 | 2022-04-28 | Portage | Wisconsin | 55097 | 18171 | 160 |
2453931 | 2453931 | 2022-04-28 | Price | Wisconsin | 55099 | 3258 | 33 |
2453932 | 2453932 | 2022-04-28 | Racine | Wisconsin | 55101 | 56753 | 688 |
2453933 | 2453933 | 2022-04-28 | Richland | Wisconsin | 55103 | 3908 | 48 |
2453934 | 2453934 | 2022-04-28 | Rock | Wisconsin | 55105 | 43447 | 391 |
2453935 | 2453935 | 2022-04-28 | Rusk | Wisconsin | 55107 | 3433 | 55 |
2453936 | 2453936 | 2022-04-28 | Sauk | Wisconsin | 55111 | 16086 | 133 |
2453937 | 2453937 | 2022-04-28 | Sawyer | Wisconsin | 55113 | 4575 | 62 |
2453938 | 2453938 | 2022-04-28 | Shawano | Wisconsin | 55115 | 11695 | 150 |
2453939 | 2453939 | 2022-04-28 | Sheboygan | Wisconsin | 55117 | 32723 | 317 |
2453940 | 2453940 | 2022-04-28 | St. Croix | Wisconsin | 55109 | 25038 | 148 |
2453941 | 2453941 | 2022-04-28 | Taylor | Wisconsin | 55119 | 4845 | 72 |
2453942 | 2453942 | 2022-04-28 | Trempealeau | Wisconsin | 55121 | 8441 | 64 |
2453943 | 2453943 | 2022-04-28 | Vernon | Wisconsin | 55123 | 6109 | 97 |
2453944 | 2453944 | 2022-04-28 | Vilas | Wisconsin | 55125 | 5230 | 89 |
2453945 | 2453945 | 2022-04-28 | Walworth | Wisconsin | 55127 | 27045 | 280 |
2453946 | 2453946 | 2022-04-28 | Washburn | Wisconsin | 55129 | 4024 | 46 |
2453947 | 2453947 | 2022-04-28 | Washington | Wisconsin | 55131 | 38354 | 341 |
2453948 | 2453948 | 2022-04-28 | Waukesha | Wisconsin | 55133 | 113670 | 1091 |
2453949 | 2453949 | 2022-04-28 | Waupaca | Wisconsin | 55135 | 13663 | 252 |
2453950 | 2453950 | 2022-04-28 | Waushara | Wisconsin | 55137 | 6435 | 87 |
2453951 | 2453951 | 2022-04-28 | Winnebago | Wisconsin | 55139 | 52184 | 380 |
2453952 | 2453952 | 2022-04-28 | Wood | Wisconsin | 55141 | 21097 | 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);