ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
72 rows where date = "2022-05-09" and state = "Wisconsin" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2489706 | 2489706 | 2022-05-09 | Adams | Wisconsin | 55001 | 4705 | 61 |
2489707 | 2489707 | 2022-05-09 | Ashland | Wisconsin | 55003 | 3340 | 36 |
2489708 | 2489708 | 2022-05-09 | Barron | Wisconsin | 55005 | 13685 | 144 |
2489709 | 2489709 | 2022-05-09 | Bayfield | Wisconsin | 55007 | 3395 | 40 |
2489710 | 2489710 | 2022-05-09 | Brown | Wisconsin | 55009 | 85261 | 556 |
2489711 | 2489711 | 2022-05-09 | Buffalo | Wisconsin | 55011 | 3588 | 12 |
2489712 | 2489712 | 2022-05-09 | Burnett | Wisconsin | 55013 | 4033 | 43 |
2489713 | 2489713 | 2022-05-09 | Calumet | Wisconsin | 55015 | 14710 | 121 |
2489714 | 2489714 | 2022-05-09 | Chippewa | Wisconsin | 55017 | 19022 | 186 |
2489715 | 2489715 | 2022-05-09 | Clark | Wisconsin | 55019 | 7670 | 122 |
2489716 | 2489716 | 2022-05-09 | Columbia | Wisconsin | 55021 | 15704 | 128 |
2489717 | 2489717 | 2022-05-09 | Crawford | Wisconsin | 55023 | 4276 | 28 |
2489718 | 2489718 | 2022-05-09 | Dane | Wisconsin | 55025 | 132700 | 514 |
2489719 | 2489719 | 2022-05-09 | Dodge | Wisconsin | 55027 | 27461 | 339 |
2489720 | 2489720 | 2022-05-09 | Door | Wisconsin | 55029 | 7055 | 71 |
2489721 | 2489721 | 2022-05-09 | Douglas | Wisconsin | 55031 | 11880 | 79 |
2489722 | 2489722 | 2022-05-09 | Dunn | Wisconsin | 55033 | 13552 | 75 |
2489723 | 2489723 | 2022-05-09 | Eau Claire | Wisconsin | 55035 | 31086 | 187 |
2489724 | 2489724 | 2022-05-09 | Florence | Wisconsin | 55037 | 1089 | 16 |
2489725 | 2489725 | 2022-05-09 | Fond du Lac | Wisconsin | 55039 | 32325 | 276 |
2489726 | 2489726 | 2022-05-09 | Forest | Wisconsin | 55041 | 2685 | 52 |
2489727 | 2489727 | 2022-05-09 | Grant | Wisconsin | 55043 | 12883 | 145 |
2489728 | 2489728 | 2022-05-09 | Green | Wisconsin | 55045 | 9454 | 54 |
2489729 | 2489729 | 2022-05-09 | Green Lake | Wisconsin | 55047 | 5229 | 63 |
2489730 | 2489730 | 2022-05-09 | Iowa | Wisconsin | 55049 | 5385 | 28 |
2489731 | 2489731 | 2022-05-09 | Iron | Wisconsin | 55051 | 1480 | 47 |
2489732 | 2489732 | 2022-05-09 | Jackson | Wisconsin | 55053 | 5715 | 43 |
2489733 | 2489733 | 2022-05-09 | Jefferson | Wisconsin | 55055 | 21904 | 242 |
2489734 | 2489734 | 2022-05-09 | Juneau | Wisconsin | 55057 | 7800 | 68 |
2489735 | 2489735 | 2022-05-09 | Kenosha | Wisconsin | 55059 | 45025 | 631 |
2489736 | 2489736 | 2022-05-09 | Kewaunee | Wisconsin | 55061 | 5908 | 59 |
2489737 | 2489737 | 2022-05-09 | La Crosse | Wisconsin | 55063 | 35668 | 186 |
2489738 | 2489738 | 2022-05-09 | Lafayette | Wisconsin | 55065 | 3707 | 25 |
2489739 | 2489739 | 2022-05-09 | Langlade | Wisconsin | 55067 | 5266 | 92 |
2489740 | 2489740 | 2022-05-09 | Lincoln | Wisconsin | 55069 | 7144 | 148 |
2489741 | 2489741 | 2022-05-09 | Manitowoc | Wisconsin | 55071 | 20718 | 188 |
2489742 | 2489742 | 2022-05-09 | Marathon | Wisconsin | 55073 | 40057 | 490 |
2489743 | 2489743 | 2022-05-09 | Marinette | Wisconsin | 55075 | 11707 | 126 |
2489744 | 2489744 | 2022-05-09 | Marquette | Wisconsin | 55077 | 3853 | 61 |
2489745 | 2489745 | 2022-05-09 | Menominee | Wisconsin | 55078 | 1965 | 14 |
2489746 | 2489746 | 2022-05-09 | Milwaukee | Wisconsin | 55079 | 275574 | 2290 |
2489747 | 2489747 | 2022-05-09 | Monroe | Wisconsin | 55081 | 12227 | 90 |
2489748 | 2489748 | 2022-05-09 | Oconto | Wisconsin | 55083 | 11491 | 120 |
2489749 | 2489749 | 2022-05-09 | Oneida | Wisconsin | 55085 | 8570 | 139 |
2489750 | 2489750 | 2022-05-09 | Outagamie | Wisconsin | 55087 | 55073 | 406 |
2489751 | 2489751 | 2022-05-09 | Ozaukee | Wisconsin | 55089 | 22932 | 186 |
2489752 | 2489752 | 2022-05-09 | Pepin | Wisconsin | 55091 | 1991 | 18 |
2489753 | 2489753 | 2022-05-09 | Pierce | Wisconsin | 55093 | 11785 | 73 |
2489754 | 2489754 | 2022-05-09 | Polk | Wisconsin | 55095 | 12627 | 122 |
2489755 | 2489755 | 2022-05-09 | Portage | Wisconsin | 55097 | 18381 | 161 |
2489756 | 2489756 | 2022-05-09 | Price | Wisconsin | 55099 | 3271 | 33 |
2489757 | 2489757 | 2022-05-09 | Racine | Wisconsin | 55101 | 57303 | 690 |
2489758 | 2489758 | 2022-05-09 | Richland | Wisconsin | 55103 | 3965 | 48 |
2489759 | 2489759 | 2022-05-09 | Rock | Wisconsin | 55105 | 43969 | 394 |
2489760 | 2489760 | 2022-05-09 | Rusk | Wisconsin | 55107 | 3457 | 55 |
2489761 | 2489761 | 2022-05-09 | Sauk | Wisconsin | 55111 | 16341 | 136 |
2489762 | 2489762 | 2022-05-09 | Sawyer | Wisconsin | 55113 | 4602 | 62 |
2489763 | 2489763 | 2022-05-09 | Shawano | Wisconsin | 55115 | 11884 | 152 |
2489764 | 2489764 | 2022-05-09 | Sheboygan | Wisconsin | 55117 | 32926 | 318 |
2489765 | 2489765 | 2022-05-09 | St. Croix | Wisconsin | 55109 | 25376 | 149 |
2489766 | 2489766 | 2022-05-09 | Taylor | Wisconsin | 55119 | 4871 | 72 |
2489767 | 2489767 | 2022-05-09 | Trempealeau | Wisconsin | 55121 | 8513 | 64 |
2489768 | 2489768 | 2022-05-09 | Vernon | Wisconsin | 55123 | 6206 | 98 |
2489769 | 2489769 | 2022-05-09 | Vilas | Wisconsin | 55125 | 5257 | 89 |
2489770 | 2489770 | 2022-05-09 | Walworth | Wisconsin | 55127 | 27186 | 280 |
2489771 | 2489771 | 2022-05-09 | Washburn | Wisconsin | 55129 | 4056 | 46 |
2489772 | 2489772 | 2022-05-09 | Washington | Wisconsin | 55131 | 38742 | 342 |
2489773 | 2489773 | 2022-05-09 | Waukesha | Wisconsin | 55133 | 115007 | 1093 |
2489774 | 2489774 | 2022-05-09 | Waupaca | Wisconsin | 55135 | 13762 | 252 |
2489775 | 2489775 | 2022-05-09 | Waushara | Wisconsin | 55137 | 6487 | 87 |
2489776 | 2489776 | 2022-05-09 | Winnebago | Wisconsin | 55139 | 52725 | 381 |
2489777 | 2489777 | 2022-05-09 | Wood | Wisconsin | 55141 | 21336 | 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);