ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,502,832 rows sorted by date descending
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These facets timed out: county, fips
state >30
- Texas 28,386
- Georgia 20,729
- Virginia 16,537
- Kentucky 14,452
- Missouri 13,432
- North Carolina 12,708
- Illinois 12,533
- Tennessee 12,245
- Indiana 11,994
- Iowa 11,973
- Ohio 11,378
- Kansas 10,751
- Mississippi 10,707
- Minnesota 10,595
- Michigan 10,518
- Arkansas 9,480
- Oklahoma 9,160
- Florida 9,094
- Wisconsin 9,038
- Pennsylvania 8,824
- Alabama 8,628
- Louisiana 8,588
- Nebraska 8,523
- New York 7,934
- Colorado 7,914
- California 7,869
- Puerto Rico 6,968
- South Dakota 6,596
- West Virginia 6,431
- South Carolina 6,142
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
386186 | 386186 | 2020-07-31 | Archuleta | Colorado | 8007 | 32 | 0 |
386187 | 386187 | 2020-07-31 | Baca | Colorado | 8009 | 14 | 0 |
386188 | 386188 | 2020-07-31 | Bent | Colorado | 8011 | 5 | 0 |
386189 | 386189 | 2020-07-31 | Boulder | Colorado | 8013 | 1890 | 75 |
386190 | 386190 | 2020-07-31 | Broomfield | Colorado | 8014 | 398 | 32 |
386191 | 386191 | 2020-07-31 | Chaffee | Colorado | 8015 | 286 | 19 |
386192 | 386192 | 2020-07-31 | Cheyenne | Colorado | 8017 | 8 | 0 |
386193 | 386193 | 2020-07-31 | Clear Creek | Colorado | 8019 | 26 | 1 |
386194 | 386194 | 2020-07-31 | Conejos | Colorado | 8021 | 23 | 0 |
386195 | 386195 | 2020-07-31 | Costilla | Colorado | 8023 | 22 | 0 |
386196 | 386196 | 2020-07-31 | Crowley | Colorado | 8025 | 72 | 1 |
386197 | 386197 | 2020-07-31 | Custer | Colorado | 8027 | 10 | 0 |
386198 | 386198 | 2020-07-31 | Delta | Colorado | 8029 | 104 | 1 |
386199 | 386199 | 2020-07-31 | Denver | Colorado | 8031 | 9623 | 412 |
386200 | 386200 | 2020-07-31 | Dolores | Colorado | 8033 | 1 | 0 |
386201 | 386201 | 2020-07-31 | Douglas | Colorado | 8035 | 1616 | 58 |
386202 | 386202 | 2020-07-31 | Eagle | Colorado | 8037 | 1026 | 9 |
386203 | 386203 | 2020-07-31 | El Paso | Colorado | 8041 | 4575 | 136 |
386204 | 386204 | 2020-07-31 | Elbert | Colorado | 8039 | 85 | 2 |
386205 | 386205 | 2020-07-31 | Fremont | Colorado | 8043 | 102 | 0 |
386206 | 386206 | 2020-07-31 | Garfield | Colorado | 8045 | 691 | 4 |
386207 | 386207 | 2020-07-31 | Gilpin | Colorado | 8047 | 13 | 0 |
386208 | 386208 | 2020-07-31 | Grand | Colorado | 8049 | 42 | 1 |
386209 | 386209 | 2020-07-31 | Gunnison | Colorado | 8051 | 246 | 6 |
386210 | 386210 | 2020-07-31 | Hinsdale | Colorado | 8053 | 3 | 0 |
386211 | 386211 | 2020-07-31 | Huerfano | Colorado | 8055 | 6 | 1 |
386212 | 386212 | 2020-07-31 | Jackson | Colorado | 8057 | 8 | 0 |
386213 | 386213 | 2020-07-31 | Jefferson | Colorado | 8059 | 3874 | 227 |
386214 | 386214 | 2020-07-31 | Kit Carson | Colorado | 8063 | 42 | 3 |
386215 | 386215 | 2020-07-31 | La Plata | Colorado | 8067 | 197 | 2 |
386216 | 386216 | 2020-07-31 | Lake | Colorado | 8065 | 70 | 0 |
386217 | 386217 | 2020-07-31 | Larimer | Colorado | 8069 | 1359 | 35 |
386218 | 386218 | 2020-07-31 | Las Animas | Colorado | 8071 | 15 | 0 |
386219 | 386219 | 2020-07-31 | Lincoln | Colorado | 8073 | 6 | 0 |
386220 | 386220 | 2020-07-31 | Logan | Colorado | 8075 | 647 | 5 |
386221 | 386221 | 2020-07-31 | Mesa | Colorado | 8077 | 255 | 3 |
386222 | 386222 | 2020-07-31 | Mineral | Colorado | 8079 | 18 | 0 |
386223 | 386223 | 2020-07-31 | Moffat | Colorado | 8081 | 24 | 1 |
386224 | 386224 | 2020-07-31 | Montezuma | Colorado | 8083 | 107 | 4 |
386225 | 386225 | 2020-07-31 | Montrose | Colorado | 8085 | 274 | 13 |
386226 | 386226 | 2020-07-31 | Morgan | Colorado | 8087 | 674 | 46 |
386227 | 386227 | 2020-07-31 | Otero | Colorado | 8089 | 52 | 5 |
386228 | 386228 | 2020-07-31 | Ouray | Colorado | 8091 | 12 | 1 |
386229 | 386229 | 2020-07-31 | Park | Colorado | 8093 | 42 | 1 |
386230 | 386230 | 2020-07-31 | Phillips | Colorado | 8095 | 19 | 0 |
386231 | 386231 | 2020-07-31 | Pitkin | Colorado | 8097 | 166 | 2 |
386232 | 386232 | 2020-07-31 | Prowers | Colorado | 8099 | 47 | 0 |
386233 | 386233 | 2020-07-31 | Pueblo | Colorado | 8101 | 597 | 34 |
386234 | 386234 | 2020-07-31 | Rio Blanco | Colorado | 8103 | 6 | 0 |
386235 | 386235 | 2020-07-31 | Rio Grande | Colorado | 8105 | 87 | 2 |
386236 | 386236 | 2020-07-31 | Routt | Colorado | 8107 | 99 | 6 |
386237 | 386237 | 2020-07-31 | Saguache | Colorado | 8109 | 107 | 2 |
386238 | 386238 | 2020-07-31 | San Juan | Colorado | 8111 | 2 | 0 |
386239 | 386239 | 2020-07-31 | San Miguel | Colorado | 8113 | 73 | 0 |
386240 | 386240 | 2020-07-31 | Sedgwick | Colorado | 8115 | 11 | 1 |
386241 | 386241 | 2020-07-31 | Summit | Colorado | 8117 | 339 | 4 |
386242 | 386242 | 2020-07-31 | Teller | Colorado | 8119 | 110 | 3 |
386243 | 386243 | 2020-07-31 | Washington | Colorado | 8121 | 47 | 0 |
386244 | 386244 | 2020-07-31 | Weld | Colorado | 8123 | 3523 | 141 |
386245 | 386245 | 2020-07-31 | Yuma | Colorado | 8125 | 62 | 0 |
386246 | 386246 | 2020-07-31 | Fairfield | Connecticut | 9001 | 17793 | 1406 |
386247 | 386247 | 2020-07-31 | Hartford | Connecticut | 9003 | 12645 | 1412 |
386248 | 386248 | 2020-07-31 | Litchfield | Connecticut | 9005 | 1597 | 138 |
386249 | 386249 | 2020-07-31 | Middlesex | Connecticut | 9007 | 1377 | 191 |
386250 | 386250 | 2020-07-31 | New Haven | Connecticut | 9009 | 13041 | 1101 |
386251 | 386251 | 2020-07-31 | New London | Connecticut | 9011 | 1402 | 103 |
386252 | 386252 | 2020-07-31 | Tolland | Connecticut | 9013 | 1019 | 66 |
386253 | 386253 | 2020-07-31 | Unknown | Connecticut | 243 | 0 | |
386254 | 386254 | 2020-07-31 | Windham | Connecticut | 9015 | 693 | 15 |
386255 | 386255 | 2020-07-31 | Kent | Delaware | 10001 | 2167 | 107 |
386256 | 386256 | 2020-07-31 | New Castle | Delaware | 10003 | 6794 | 287 |
386257 | 386257 | 2020-07-31 | Sussex | Delaware | 10005 | 5608 | 191 |
386258 | 386258 | 2020-07-31 | Unknown | Delaware | 219 | 0 | |
386259 | 386259 | 2020-07-31 | District of Columbia | District of Columbia | 11001 | 12126 | 585 |
386260 | 386260 | 2020-07-31 | Alachua | Florida | 12001 | 3526 | 21 |
386261 | 386261 | 2020-07-31 | Baker | Florida | 12003 | 356 | 4 |
386262 | 386262 | 2020-07-31 | Bay | Florida | 12005 | 3475 | 21 |
386263 | 386263 | 2020-07-31 | Bradford | Florida | 12007 | 325 | 3 |
386264 | 386264 | 2020-07-31 | Brevard | Florida | 12009 | 5420 | 114 |
386265 | 386265 | 2020-07-31 | Broward | Florida | 12011 | 55411 | 709 |
386266 | 386266 | 2020-07-31 | Calhoun | Florida | 12013 | 281 | 7 |
386267 | 386267 | 2020-07-31 | Charlotte | Florida | 12015 | 1946 | 86 |
386268 | 386268 | 2020-07-31 | Citrus | Florida | 12017 | 1205 | 27 |
386269 | 386269 | 2020-07-31 | Clay | Florida | 12019 | 2808 | 48 |
386270 | 386270 | 2020-07-31 | Collier | Florida | 12021 | 9581 | 122 |
386271 | 386271 | 2020-07-31 | Columbia | Florida | 12023 | 2476 | 10 |
386272 | 386272 | 2020-07-31 | DeSoto | Florida | 12027 | 1264 | 14 |
386273 | 386273 | 2020-07-31 | Dixie | Florida | 12029 | 252 | 4 |
386274 | 386274 | 2020-07-31 | Duval | Florida | 12031 | 21038 | 153 |
386275 | 386275 | 2020-07-31 | Escambia | Florida | 12033 | 7738 | 95 |
386276 | 386276 | 2020-07-31 | Flagler | Florida | 12035 | 901 | 10 |
386277 | 386277 | 2020-07-31 | Franklin | Florida | 12037 | 108 | 1 |
386278 | 386278 | 2020-07-31 | Gadsden | Florida | 12039 | 1346 | 18 |
386279 | 386279 | 2020-07-31 | Gilchrist | Florida | 12041 | 309 | 3 |
386280 | 386280 | 2020-07-31 | Glades | Florida | 12043 | 389 | 3 |
386281 | 386281 | 2020-07-31 | Gulf | Florida | 12045 | 336 | 1 |
386282 | 386282 | 2020-07-31 | Hamilton | Florida | 12047 | 570 | 3 |
386283 | 386283 | 2020-07-31 | Hardee | Florida | 12049 | 833 | 7 |
386284 | 386284 | 2020-07-31 | Hendry | Florida | 12051 | 1632 | 36 |
386285 | 386285 | 2020-07-31 | Hernando | Florida | 12053 | 1674 | 32 |
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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);