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 2022-01-16 and state = "Wisconsin" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2122041 | 2122041 | 2022-01-16 | Adams | Wisconsin | 55001 | 3817 | 44 |
2122042 | 2122042 | 2022-01-16 | Ashland | Wisconsin | 55003 | 2648 | 28 |
2122043 | 2122043 | 2022-01-16 | Barron | Wisconsin | 55005 | 11582 | 122 |
2122044 | 2122044 | 2022-01-16 | Bayfield | Wisconsin | 55007 | 2547 | 35 |
2122045 | 2122045 | 2022-01-16 | Brown | Wisconsin | 55009 | 68697 | 389 |
2122046 | 2122046 | 2022-01-16 | Buffalo | Wisconsin | 55011 | 2847 | 10 |
2122047 | 2122047 | 2022-01-16 | Burnett | Wisconsin | 55013 | 3325 | 36 |
2122048 | 2122048 | 2022-01-16 | Calumet | Wisconsin | 55015 | 12503 | 99 |
2122049 | 2122049 | 2022-01-16 | Chippewa | Wisconsin | 55017 | 15602 | 152 |
2122050 | 2122050 | 2022-01-16 | Clark | Wisconsin | 55019 | 6609 | 110 |
2122051 | 2122051 | 2022-01-16 | Columbia | Wisconsin | 55021 | 12184 | 106 |
2122052 | 2122052 | 2022-01-16 | Crawford | Wisconsin | 55023 | 3425 | 26 |
2122053 | 2122053 | 2022-01-16 | Dane | Wisconsin | 55025 | 81956 | 430 |
2122054 | 2122054 | 2022-01-16 | Dodge | Wisconsin | 55027 | 22579 | 281 |
2122055 | 2122055 | 2022-01-16 | Door | Wisconsin | 55029 | 5859 | 53 |
2122056 | 2122056 | 2022-01-16 | Douglas | Wisconsin | 55031 | 9149 | 71 |
2122057 | 2122057 | 2022-01-16 | Dunn | Wisconsin | 55033 | 10923 | 63 |
2122058 | 2122058 | 2022-01-16 | Eau Claire | Wisconsin | 55035 | 24508 | 169 |
2122059 | 2122059 | 2022-01-16 | Florence | Wisconsin | 55037 | 867 | 15 |
2122060 | 2122060 | 2022-01-16 | Fond du Lac | Wisconsin | 55039 | 26616 | 203 |
2122061 | 2122061 | 2022-01-16 | Forest | Wisconsin | 55041 | 2170 | 47 |
2122062 | 2122062 | 2022-01-16 | Grant | Wisconsin | 55043 | 10644 | 132 |
2122063 | 2122063 | 2022-01-16 | Green | Wisconsin | 55045 | 7261 | 46 |
2122064 | 2122064 | 2022-01-16 | Green Lake | Wisconsin | 55047 | 4248 | 49 |
2122065 | 2122065 | 2022-01-16 | Iowa | Wisconsin | 55049 | 4089 | 24 |
2122066 | 2122066 | 2022-01-16 | Iron | Wisconsin | 55051 | 1169 | 44 |
2122067 | 2122067 | 2022-01-16 | Jackson | Wisconsin | 55053 | 4861 | 40 |
2122068 | 2122068 | 2022-01-16 | Jefferson | Wisconsin | 55055 | 17536 | 196 |
2122069 | 2122069 | 2022-01-16 | Juneau | Wisconsin | 55057 | 6450 | 55 |
2122070 | 2122070 | 2022-01-16 | Kenosha | Wisconsin | 55059 | 36188 | 509 |
2122071 | 2122071 | 2022-01-16 | Kewaunee | Wisconsin | 55061 | 5186 | 51 |
2122072 | 2122072 | 2022-01-16 | La Crosse | Wisconsin | 55063 | 27413 | 143 |
2122073 | 2122073 | 2022-01-16 | Lafayette | Wisconsin | 55065 | 3063 | 18 |
2122074 | 2122074 | 2022-01-16 | Langlade | Wisconsin | 55067 | 4338 | 66 |
2122075 | 2122075 | 2022-01-16 | Lincoln | Wisconsin | 55069 | 5976 | 125 |
2122076 | 2122076 | 2022-01-16 | Manitowoc | Wisconsin | 55071 | 17565 | 152 |
2122077 | 2122077 | 2022-01-16 | Marathon | Wisconsin | 55073 | 32992 | 423 |
2122078 | 2122078 | 2022-01-16 | Marinette | Wisconsin | 55075 | 9951 | 99 |
2122079 | 2122079 | 2022-01-16 | Marquette | Wisconsin | 55077 | 3251 | 42 |
2122080 | 2122080 | 2022-01-16 | Menominee | Wisconsin | 55078 | 1393 | 12 |
2122081 | 2122081 | 2022-01-16 | Milwaukee | Wisconsin | 55079 | 227463 | 1863 |
2122082 | 2122082 | 2022-01-16 | Monroe | Wisconsin | 55081 | 9667 | 73 |
2122083 | 2122083 | 2022-01-16 | Oconto | Wisconsin | 55083 | 10018 | 89 |
2122084 | 2122084 | 2022-01-16 | Oneida | Wisconsin | 55085 | 7160 | 116 |
2122085 | 2122085 | 2022-01-16 | Outagamie | Wisconsin | 55087 | 46593 | 313 |
2122086 | 2122086 | 2022-01-16 | Ozaukee | Wisconsin | 55089 | 18450 | 132 |
2122087 | 2122087 | 2022-01-16 | Pepin | Wisconsin | 55091 | 1658 | 16 |
2122088 | 2122088 | 2022-01-16 | Pierce | Wisconsin | 55093 | 9635 | 65 |
2122089 | 2122089 | 2022-01-16 | Polk | Wisconsin | 55095 | 10334 | 111 |
2122090 | 2122090 | 2022-01-16 | Portage | Wisconsin | 55097 | 15342 | 134 |
2122091 | 2122091 | 2022-01-16 | Price | Wisconsin | 55099 | 2807 | 24 |
2122092 | 2122092 | 2022-01-16 | Racine | Wisconsin | 55101 | 49602 | 557 |
2122093 | 2122093 | 2022-01-16 | Richland | Wisconsin | 55103 | 3073 | 38 |
2122094 | 2122094 | 2022-01-16 | Rock | Wisconsin | 55105 | 34220 | 296 |
2122095 | 2122095 | 2022-01-16 | Rusk | Wisconsin | 55107 | 2977 | 41 |
2122096 | 2122096 | 2022-01-16 | Sauk | Wisconsin | 55111 | 13068 | 87 |
2122097 | 2122097 | 2022-01-16 | Sawyer | Wisconsin | 55113 | 3949 | 51 |
2122098 | 2122098 | 2022-01-16 | Shawano | Wisconsin | 55115 | 9930 | 117 |
2122099 | 2122099 | 2022-01-16 | Sheboygan | Wisconsin | 55117 | 27048 | 211 |
2122100 | 2122100 | 2022-01-16 | St. Croix | Wisconsin | 55109 | 20553 | 124 |
2122101 | 2122101 | 2022-01-16 | Taylor | Wisconsin | 55119 | 4232 | 62 |
2122102 | 2122102 | 2022-01-16 | Trempealeau | Wisconsin | 55121 | 6941 | 56 |
2122103 | 2122103 | 2022-01-16 | Vernon | Wisconsin | 55123 | 4659 | 76 |
2122104 | 2122104 | 2022-01-16 | Vilas | Wisconsin | 55125 | 4326 | 78 |
2122105 | 2122105 | 2022-01-16 | Walworth | Wisconsin | 55127 | 22695 | 234 |
2122106 | 2122106 | 2022-01-16 | Washburn | Wisconsin | 55129 | 3344 | 37 |
2122107 | 2122107 | 2022-01-16 | Washington | Wisconsin | 55131 | 32205 | 263 |
2122108 | 2122108 | 2022-01-16 | Waukesha | Wisconsin | 55133 | 85141 | 854 |
2122109 | 2122109 | 2022-01-16 | Waupaca | Wisconsin | 55135 | 11787 | 225 |
2122110 | 2122110 | 2022-01-16 | Waushara | Wisconsin | 55137 | 5228 | 75 |
2122111 | 2122111 | 2022-01-16 | Winnebago | Wisconsin | 55139 | 42450 | 324 |
2122112 | 2122112 | 2022-01-16 | Wood | Wisconsin | 55141 | 17076 | 192 |
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);