ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
72 rows where date = "2022-03-24" and state = "Wisconsin" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2339962 | 2339962 | 2022-03-24 | Adams | Wisconsin | 55001 | 4624 | 59 |
2339963 | 2339963 | 2022-03-24 | Ashland | Wisconsin | 55003 | 3272 | 36 |
2339964 | 2339964 | 2022-03-24 | Barron | Wisconsin | 55005 | 13425 | 141 |
2339965 | 2339965 | 2022-03-24 | Bayfield | Wisconsin | 55007 | 3263 | 39 |
2339966 | 2339966 | 2022-03-24 | Brown | Wisconsin | 55009 | 83768 | 530 |
2339967 | 2339967 | 2022-03-24 | Buffalo | Wisconsin | 55011 | 3445 | 12 |
2339968 | 2339968 | 2022-03-24 | Burnett | Wisconsin | 55013 | 3960 | 43 |
2339969 | 2339969 | 2022-03-24 | Calumet | Wisconsin | 55015 | 14454 | 119 |
2339970 | 2339970 | 2022-03-24 | Chippewa | Wisconsin | 55017 | 18596 | 179 |
2339971 | 2339971 | 2022-03-24 | Clark | Wisconsin | 55019 | 7584 | 120 |
2339972 | 2339972 | 2022-03-24 | Columbia | Wisconsin | 55021 | 15162 | 126 |
2339973 | 2339973 | 2022-03-24 | Crawford | Wisconsin | 55023 | 4219 | 28 |
2339974 | 2339974 | 2022-03-24 | Dane | Wisconsin | 55025 | 123653 | 500 |
2339975 | 2339975 | 2022-03-24 | Dodge | Wisconsin | 55027 | 27022 | 328 |
2339976 | 2339976 | 2022-03-24 | Door | Wisconsin | 55029 | 6933 | 69 |
2339977 | 2339977 | 2022-03-24 | Douglas | Wisconsin | 55031 | 11493 | 76 |
2339978 | 2339978 | 2022-03-24 | Dunn | Wisconsin | 55033 | 13245 | 72 |
2339979 | 2339979 | 2022-03-24 | Eau Claire | Wisconsin | 55035 | 30016 | 183 |
2339980 | 2339980 | 2022-03-24 | Florence | Wisconsin | 55037 | 1078 | 16 |
2339981 | 2339981 | 2022-03-24 | Fond du Lac | Wisconsin | 55039 | 31642 | 265 |
2339982 | 2339982 | 2022-03-24 | Forest | Wisconsin | 55041 | 2667 | 51 |
2339983 | 2339983 | 2022-03-24 | Grant | Wisconsin | 55043 | 12634 | 143 |
2339984 | 2339984 | 2022-03-24 | Green | Wisconsin | 55045 | 9071 | 53 |
2339985 | 2339985 | 2022-03-24 | Green Lake | Wisconsin | 55047 | 5066 | 62 |
2339986 | 2339986 | 2022-03-24 | Iowa | Wisconsin | 55049 | 5206 | 26 |
2339987 | 2339987 | 2022-03-24 | Iron | Wisconsin | 55051 | 1463 | 47 |
2339988 | 2339988 | 2022-03-24 | Jackson | Wisconsin | 55053 | 5637 | 42 |
2339989 | 2339989 | 2022-03-24 | Jefferson | Wisconsin | 55055 | 21398 | 235 |
2339990 | 2339990 | 2022-03-24 | Juneau | Wisconsin | 55057 | 7663 | 66 |
2339991 | 2339991 | 2022-03-24 | Kenosha | Wisconsin | 55059 | 43858 | 621 |
2339992 | 2339992 | 2022-03-24 | Kewaunee | Wisconsin | 55061 | 5825 | 58 |
2339993 | 2339993 | 2022-03-24 | La Crosse | Wisconsin | 55063 | 34567 | 177 |
2339994 | 2339994 | 2022-03-24 | Lafayette | Wisconsin | 55065 | 3623 | 22 |
2339995 | 2339995 | 2022-03-24 | Langlade | Wisconsin | 55067 | 5190 | 87 |
2339996 | 2339996 | 2022-03-24 | Lincoln | Wisconsin | 55069 | 6996 | 147 |
2339997 | 2339997 | 2022-03-24 | Manitowoc | Wisconsin | 55071 | 20362 | 186 |
2339998 | 2339998 | 2022-03-24 | Marathon | Wisconsin | 55073 | 39136 | 483 |
2339999 | 2339999 | 2022-03-24 | Marinette | Wisconsin | 55075 | 11563 | 118 |
2340000 | 2340000 | 2022-03-24 | Marquette | Wisconsin | 55077 | 3794 | 60 |
2340001 | 2340001 | 2022-03-24 | Menominee | Wisconsin | 55078 | 1900 | 14 |
2340002 | 2340002 | 2022-03-24 | Milwaukee | Wisconsin | 55079 | 267720 | 2252 |
2340003 | 2340003 | 2022-03-24 | Monroe | Wisconsin | 55081 | 11898 | 88 |
2340004 | 2340004 | 2022-03-24 | Oconto | Wisconsin | 55083 | 11367 | 116 |
2340005 | 2340005 | 2022-03-24 | Oneida | Wisconsin | 55085 | 8461 | 135 |
2340006 | 2340006 | 2022-03-24 | Outagamie | Wisconsin | 55087 | 54133 | 399 |
2340007 | 2340007 | 2022-03-24 | Ozaukee | Wisconsin | 55089 | 22077 | 176 |
2340008 | 2340008 | 2022-03-24 | Pepin | Wisconsin | 55091 | 1954 | 18 |
2340009 | 2340009 | 2022-03-24 | Pierce | Wisconsin | 55093 | 11487 | 72 |
2340010 | 2340010 | 2022-03-24 | Polk | Wisconsin | 55095 | 12254 | 121 |
2340011 | 2340011 | 2022-03-24 | Portage | Wisconsin | 55097 | 17891 | 159 |
2340012 | 2340012 | 2022-03-24 | Price | Wisconsin | 55099 | 3246 | 32 |
2340013 | 2340013 | 2022-03-24 | Racine | Wisconsin | 55101 | 56082 | 677 |
2340014 | 2340014 | 2022-03-24 | Richland | Wisconsin | 55103 | 3830 | 46 |
2340015 | 2340015 | 2022-03-24 | Rock | Wisconsin | 55105 | 42628 | 383 |
2340016 | 2340016 | 2022-03-24 | Rusk | Wisconsin | 55107 | 3405 | 54 |
2340017 | 2340017 | 2022-03-24 | Sauk | Wisconsin | 55111 | 15804 | 127 |
2340018 | 2340018 | 2022-03-24 | Sawyer | Wisconsin | 55113 | 4535 | 61 |
2340019 | 2340019 | 2022-03-24 | Shawano | Wisconsin | 55115 | 11631 | 148 |
2340020 | 2340020 | 2022-03-24 | Sheboygan | Wisconsin | 55117 | 32352 | 309 |
2340021 | 2340021 | 2022-03-24 | St. Croix | Wisconsin | 55109 | 24464 | 145 |
2340022 | 2340022 | 2022-03-24 | Taylor | Wisconsin | 55119 | 4813 | 72 |
2340023 | 2340023 | 2022-03-24 | Trempealeau | Wisconsin | 55121 | 8353 | 63 |
2340024 | 2340024 | 2022-03-24 | Vernon | Wisconsin | 55123 | 5987 | 93 |
2340025 | 2340025 | 2022-03-24 | Vilas | Wisconsin | 55125 | 5200 | 88 |
2340026 | 2340026 | 2022-03-24 | Walworth | Wisconsin | 55127 | 26828 | 275 |
2340027 | 2340027 | 2022-03-24 | Washburn | Wisconsin | 55129 | 3957 | 46 |
2340028 | 2340028 | 2022-03-24 | Washington | Wisconsin | 55131 | 37886 | 332 |
2340029 | 2340029 | 2022-03-24 | Waukesha | Wisconsin | 55133 | 111729 | 1078 |
2340030 | 2340030 | 2022-03-24 | Waupaca | Wisconsin | 55135 | 13587 | 249 |
2340031 | 2340031 | 2022-03-24 | Waushara | Wisconsin | 55137 | 6361 | 87 |
2340032 | 2340032 | 2022-03-24 | Winnebago | Wisconsin | 55139 | 51397 | 376 |
2340033 | 2340033 | 2022-03-24 | Wood | Wisconsin | 55141 | 20826 | 229 |
Advanced export
JSON shape: default, array, newline-delimited
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);