ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2022-02-01" and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2173209 | 2173209 | 2022-02-01 | Adams | Pennsylvania | 42001 | 23750 | 326 |
2173210 | 2173210 | 2022-02-01 | Allegheny | Pennsylvania | 42003 | 251815 | 3004 |
2173211 | 2173211 | 2022-02-01 | Armstrong | Pennsylvania | 42005 | 14611 | 301 |
2173212 | 2173212 | 2022-02-01 | Beaver | Pennsylvania | 42007 | 37991 | 673 |
2173213 | 2173213 | 2022-02-01 | Bedford | Pennsylvania | 42009 | 10434 | 249 |
2173214 | 2173214 | 2022-02-01 | Berks | Pennsylvania | 42011 | 99196 | 1493 |
2173215 | 2173215 | 2022-02-01 | Blair | Pennsylvania | 42013 | 27851 | 572 |
2173216 | 2173216 | 2022-02-01 | Bradford | Pennsylvania | 42015 | 14094 | 185 |
2173217 | 2173217 | 2022-02-01 | Bucks | Pennsylvania | 42017 | 118690 | 1742 |
2173218 | 2173218 | 2022-02-01 | Butler | Pennsylvania | 42019 | 42590 | 671 |
2173219 | 2173219 | 2022-02-01 | Cambria | Pennsylvania | 42021 | 32786 | 671 |
2173220 | 2173220 | 2022-02-01 | Cameron | Pennsylvania | 42023 | 766 | 18 |
2173221 | 2173221 | 2022-02-01 | Carbon | Pennsylvania | 42025 | 15316 | 262 |
2173222 | 2173222 | 2022-02-01 | Centre | Pennsylvania | 42027 | 33409 | 321 |
2173223 | 2173223 | 2022-02-01 | Chester | Pennsylvania | 42029 | 87658 | 1070 |
2173224 | 2173224 | 2022-02-01 | Clarion | Pennsylvania | 42031 | 7868 | 188 |
2173225 | 2173225 | 2022-02-01 | Clearfield | Pennsylvania | 42033 | 18021 | 299 |
2173226 | 2173226 | 2022-02-01 | Clinton | Pennsylvania | 42035 | 8535 | 117 |
2173227 | 2173227 | 2022-02-01 | Columbia | Pennsylvania | 42037 | 14035 | 216 |
2173228 | 2173228 | 2022-02-01 | Crawford | Pennsylvania | 42039 | 18989 | 283 |
2173229 | 2173229 | 2022-02-01 | Cumberland | Pennsylvania | 42041 | 48467 | 813 |
2173230 | 2173230 | 2022-02-01 | Dauphin | Pennsylvania | 42043 | 56958 | 867 |
2173231 | 2173231 | 2022-02-01 | Delaware | Pennsylvania | 42045 | 106289 | 1723 |
2173232 | 2173232 | 2022-02-01 | Elk | Pennsylvania | 42047 | 6734 | 84 |
2173233 | 2173233 | 2022-02-01 | Erie | Pennsylvania | 42049 | 54645 | 684 |
2173234 | 2173234 | 2022-02-01 | Fayette | Pennsylvania | 42051 | 28897 | 588 |
2173235 | 2173235 | 2022-02-01 | Forest | Pennsylvania | 42053 | 2140 | 34 |
2173236 | 2173236 | 2022-02-01 | Franklin | Pennsylvania | 42055 | 38730 | 620 |
2173237 | 2173237 | 2022-02-01 | Fulton | Pennsylvania | 42057 | 3882 | 59 |
2173238 | 2173238 | 2022-02-01 | Greene | Pennsylvania | 42059 | 7899 | 92 |
2173239 | 2173239 | 2022-02-01 | Huntingdon | Pennsylvania | 42061 | 10814 | 227 |
2173240 | 2173240 | 2022-02-01 | Indiana | Pennsylvania | 42063 | 16233 | 325 |
2173241 | 2173241 | 2022-02-01 | Jefferson | Pennsylvania | 42065 | 8403 | 204 |
2173242 | 2173242 | 2022-02-01 | Juniata | Pennsylvania | 42067 | 4516 | 167 |
2173243 | 2173243 | 2022-02-01 | Lackawanna | Pennsylvania | 42069 | 40665 | 670 |
2173244 | 2173244 | 2022-02-01 | Lancaster | Pennsylvania | 42071 | 116699 | 1728 |
2173245 | 2173245 | 2022-02-01 | Lawrence | Pennsylvania | 42073 | 18232 | 379 |
2173246 | 2173246 | 2022-02-01 | Lebanon | Pennsylvania | 42075 | 35457 | 469 |
2173247 | 2173247 | 2022-02-01 | Lehigh | Pennsylvania | 42077 | 87011 | 1166 |
2173248 | 2173248 | 2022-02-01 | Luzerne | Pennsylvania | 42079 | 70251 | 1210 |
2173249 | 2173249 | 2022-02-01 | Lycoming | Pennsylvania | 42081 | 27009 | 484 |
2173250 | 2173250 | 2022-02-01 | McKean | Pennsylvania | 42083 | 7710 | 125 |
2173251 | 2173251 | 2022-02-01 | Mercer | Pennsylvania | 42085 | 22579 | 463 |
2173252 | 2173252 | 2022-02-01 | Mifflin | Pennsylvania | 42087 | 11504 | 256 |
2173253 | 2173253 | 2022-02-01 | Monroe | Pennsylvania | 42089 | 35692 | 471 |
2173254 | 2173254 | 2022-02-01 | Montgomery | Pennsylvania | 42091 | 145247 | 2164 |
2173255 | 2173255 | 2022-02-01 | Montour | Pennsylvania | 42093 | 4259 | 84 |
2173256 | 2173256 | 2022-02-01 | Northampton | Pennsylvania | 42095 | 77061 | 1009 |
2173257 | 2173257 | 2022-02-01 | Northumberland | Pennsylvania | 42097 | 21709 | 498 |
2173258 | 2173258 | 2022-02-01 | Perry | Pennsylvania | 42099 | 8432 | 170 |
2173259 | 2173259 | 2022-02-01 | Philadelphia | Pennsylvania | 42101 | 296373 | 4691 |
2173260 | 2173260 | 2022-02-01 | Pike | Pennsylvania | 42103 | 9409 | 85 |
2173261 | 2173261 | 2022-02-01 | Potter | Pennsylvania | 42105 | 2982 | 86 |
2173262 | 2173262 | 2022-02-01 | Schuylkill | Pennsylvania | 42107 | 32928 | 630 |
2173263 | 2173263 | 2022-02-01 | Snyder | Pennsylvania | 42109 | 7716 | 145 |
2173264 | 2173264 | 2022-02-01 | Somerset | Pennsylvania | 42111 | 17838 | 374 |
2173265 | 2173265 | 2022-02-01 | Sullivan | Pennsylvania | 42113 | 1007 | 32 |
2173266 | 2173266 | 2022-02-01 | Susquehanna | Pennsylvania | 42115 | 7321 | 101 |
2173267 | 2173267 | 2022-02-01 | Tioga | Pennsylvania | 42117 | 7503 | 185 |
2173268 | 2173268 | 2022-02-01 | Union | Pennsylvania | 42119 | 11062 | 139 |
2173269 | 2173269 | 2022-02-01 | Venango | Pennsylvania | 42121 | 10813 | 219 |
2173270 | 2173270 | 2022-02-01 | Warren | Pennsylvania | 42123 | 6891 | 196 |
2173271 | 2173271 | 2022-02-01 | Washington | Pennsylvania | 42125 | 48461 | 586 |
2173272 | 2173272 | 2022-02-01 | Wayne | Pennsylvania | 42127 | 9593 | 154 |
2173273 | 2173273 | 2022-02-01 | Westmoreland | Pennsylvania | 42129 | 75769 | 1249 |
2173274 | 2173274 | 2022-02-01 | Wyoming | Pennsylvania | 42131 | 4788 | 96 |
2173275 | 2173275 | 2022-02-01 | York | Pennsylvania | 42133 | 114183 | 1374 |
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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);