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 2022-02-15 and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2219637 | 2219637 | 2022-02-15 | Adams | Wisconsin | 55001 | 4551 | 48 |
2219638 | 2219638 | 2022-02-15 | Ashland | Wisconsin | 55003 | 3171 | 33 |
2219639 | 2219639 | 2022-02-15 | Barron | Wisconsin | 55005 | 13212 | 132 |
2219640 | 2219640 | 2022-02-15 | Bayfield | Wisconsin | 55007 | 3137 | 38 |
2219641 | 2219641 | 2022-02-15 | Brown | Wisconsin | 55009 | 82915 | 460 |
2219642 | 2219642 | 2022-02-15 | Buffalo | Wisconsin | 55011 | 3317 | 11 |
2219643 | 2219643 | 2022-02-15 | Burnett | Wisconsin | 55013 | 3879 | 41 |
2219644 | 2219644 | 2022-02-15 | Calumet | Wisconsin | 55015 | 14288 | 110 |
2219645 | 2219645 | 2022-02-15 | Chippewa | Wisconsin | 55017 | 18331 | 173 |
2219646 | 2219646 | 2022-02-15 | Clark | Wisconsin | 55019 | 7532 | 116 |
2219647 | 2219647 | 2022-02-15 | Columbia | Wisconsin | 55021 | 14907 | 121 |
2219648 | 2219648 | 2022-02-15 | Crawford | Wisconsin | 55023 | 4129 | 28 |
2219649 | 2219649 | 2022-02-15 | Dane | Wisconsin | 55025 | 120472 | 470 |
2219650 | 2219650 | 2022-02-15 | Dodge | Wisconsin | 55027 | 26631 | 298 |
2219651 | 2219651 | 2022-02-15 | Door | Wisconsin | 55029 | 6874 | 57 |
2219652 | 2219652 | 2022-02-15 | Douglas | Wisconsin | 55031 | 11215 | 72 |
2219653 | 2219653 | 2022-02-15 | Dunn | Wisconsin | 55033 | 13044 | 66 |
2219654 | 2219654 | 2022-02-15 | Eau Claire | Wisconsin | 55035 | 29513 | 176 |
2219655 | 2219655 | 2022-02-15 | Florence | Wisconsin | 55037 | 1062 | 15 |
2219656 | 2219656 | 2022-02-15 | Fond du Lac | Wisconsin | 55039 | 31230 | 223 |
2219657 | 2219657 | 2022-02-15 | Forest | Wisconsin | 55041 | 2643 | 47 |
2219658 | 2219658 | 2022-02-15 | Grant | Wisconsin | 55043 | 12387 | 140 |
2219659 | 2219659 | 2022-02-15 | Green | Wisconsin | 55045 | 8784 | 50 |
2219660 | 2219660 | 2022-02-15 | Green Lake | Wisconsin | 55047 | 4993 | 59 |
2219661 | 2219661 | 2022-02-15 | Iowa | Wisconsin | 55049 | 5087 | 25 |
2219662 | 2219662 | 2022-02-15 | Iron | Wisconsin | 55051 | 1452 | 45 |
2219663 | 2219663 | 2022-02-15 | Jackson | Wisconsin | 55053 | 5572 | 41 |
2219664 | 2219664 | 2022-02-15 | Jefferson | Wisconsin | 55055 | 21067 | 213 |
2219665 | 2219665 | 2022-02-15 | Juneau | Wisconsin | 55057 | 7542 | 61 |
2219666 | 2219666 | 2022-02-15 | Kenosha | Wisconsin | 55059 | 43346 | 597 |
2219667 | 2219667 | 2022-02-15 | Kewaunee | Wisconsin | 55061 | 5803 | 55 |
2219668 | 2219668 | 2022-02-15 | La Crosse | Wisconsin | 55063 | 33746 | 162 |
2219669 | 2219669 | 2022-02-15 | Lafayette | Wisconsin | 55065 | 3563 | 21 |
2219670 | 2219670 | 2022-02-15 | Langlade | Wisconsin | 55067 | 5143 | 77 |
2219671 | 2219671 | 2022-02-15 | Lincoln | Wisconsin | 55069 | 6874 | 134 |
2219672 | 2219672 | 2022-02-15 | Manitowoc | Wisconsin | 55071 | 20163 | 176 |
2219673 | 2219673 | 2022-02-15 | Marathon | Wisconsin | 55073 | 38624 | 464 |
2219674 | 2219674 | 2022-02-15 | Marinette | Wisconsin | 55075 | 11405 | 106 |
2219675 | 2219675 | 2022-02-15 | Marquette | Wisconsin | 55077 | 3742 | 52 |
2219676 | 2219676 | 2022-02-15 | Menominee | Wisconsin | 55078 | 1866 | 13 |
2219677 | 2219677 | 2022-02-15 | Milwaukee | Wisconsin | 55079 | 265115 | 2058 |
2219678 | 2219678 | 2022-02-15 | Monroe | Wisconsin | 55081 | 11688 | 78 |
2219679 | 2219679 | 2022-02-15 | Oconto | Wisconsin | 55083 | 11269 | 103 |
2219680 | 2219680 | 2022-02-15 | Oneida | Wisconsin | 55085 | 8327 | 124 |
2219681 | 2219681 | 2022-02-15 | Outagamie | Wisconsin | 55087 | 53391 | 344 |
2219682 | 2219682 | 2022-02-15 | Ozaukee | Wisconsin | 55089 | 21688 | 147 |
2219683 | 2219683 | 2022-02-15 | Pepin | Wisconsin | 55091 | 1924 | 17 |
2219684 | 2219684 | 2022-02-15 | Pierce | Wisconsin | 55093 | 11266 | 70 |
2219685 | 2219685 | 2022-02-15 | Polk | Wisconsin | 55095 | 12019 | 117 |
2219686 | 2219686 | 2022-02-15 | Portage | Wisconsin | 55097 | 17630 | 150 |
2219687 | 2219687 | 2022-02-15 | Price | Wisconsin | 55099 | 3192 | 28 |
2219688 | 2219688 | 2022-02-15 | Racine | Wisconsin | 55101 | 55517 | 631 |
2219689 | 2219689 | 2022-02-15 | Richland | Wisconsin | 55103 | 3754 | 40 |
2219690 | 2219690 | 2022-02-15 | Rock | Wisconsin | 55105 | 41767 | 346 |
2219691 | 2219691 | 2022-02-15 | Rusk | Wisconsin | 55107 | 3378 | 47 |
2219692 | 2219692 | 2022-02-15 | Sauk | Wisconsin | 55111 | 15643 | 107 |
2219693 | 2219693 | 2022-02-15 | Sawyer | Wisconsin | 55113 | 4470 | 57 |
2219694 | 2219694 | 2022-02-15 | Shawano | Wisconsin | 55115 | 11518 | 129 |
2219695 | 2219695 | 2022-02-15 | Sheboygan | Wisconsin | 55117 | 31991 | 275 |
2219696 | 2219696 | 2022-02-15 | St. Croix | Wisconsin | 55109 | 23902 | 136 |
2219697 | 2219697 | 2022-02-15 | Taylor | Wisconsin | 55119 | 4768 | 66 |
2219698 | 2219698 | 2022-02-15 | Trempealeau | Wisconsin | 55121 | 8203 | 59 |
2219699 | 2219699 | 2022-02-15 | Vernon | Wisconsin | 55123 | 5810 | 88 |
2219700 | 2219700 | 2022-02-15 | Vilas | Wisconsin | 55125 | 5118 | 84 |
2219701 | 2219701 | 2022-02-15 | Walworth | Wisconsin | 55127 | 26511 | 267 |
2219702 | 2219702 | 2022-02-15 | Washburn | Wisconsin | 55129 | 3898 | 43 |
2219703 | 2219703 | 2022-02-15 | Washington | Wisconsin | 55131 | 37483 | 291 |
2219704 | 2219704 | 2022-02-15 | Waukesha | Wisconsin | 55133 | 110214 | 969 |
2219705 | 2219705 | 2022-02-15 | Waupaca | Wisconsin | 55135 | 13415 | 240 |
2219706 | 2219706 | 2022-02-15 | Waushara | Wisconsin | 55137 | 6290 | 80 |
2219707 | 2219707 | 2022-02-15 | Winnebago | Wisconsin | 55139 | 50665 | 349 |
2219708 | 2219708 | 2022-02-15 | Wood | Wisconsin | 55141 | 20432 | 203 |
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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);