ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where "date" is on date 2020-05-05 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
117420 | 117420 | 2020-05-05 | Adams | Pennsylvania | 42001 | 148 | 5 |
117421 | 117421 | 2020-05-05 | Allegheny | Pennsylvania | 42003 | 1375 | 109 |
117422 | 117422 | 2020-05-05 | Armstrong | Pennsylvania | 42005 | 53 | 3 |
117423 | 117423 | 2020-05-05 | Beaver | Pennsylvania | 42007 | 466 | 73 |
117424 | 117424 | 2020-05-05 | Bedford | Pennsylvania | 42009 | 26 | 1 |
117425 | 117425 | 2020-05-05 | Berks | Pennsylvania | 42011 | 3004 | 147 |
117426 | 117426 | 2020-05-05 | Blair | Pennsylvania | 42013 | 25 | 0 |
117427 | 117427 | 2020-05-05 | Bradford | Pennsylvania | 42015 | 35 | 5 |
117428 | 117428 | 2020-05-05 | Bucks | Pennsylvania | 42017 | 3505 | 283 |
117429 | 117429 | 2020-05-05 | Butler | Pennsylvania | 42019 | 184 | 6 |
117430 | 117430 | 2020-05-05 | Cambria | Pennsylvania | 42021 | 34 | 2 |
117431 | 117431 | 2020-05-05 | Cameron | Pennsylvania | 42023 | 2 | 0 |
117432 | 117432 | 2020-05-05 | Carbon | Pennsylvania | 42025 | 185 | 15 |
117433 | 117433 | 2020-05-05 | Centre | Pennsylvania | 42027 | 106 | 2 |
117434 | 117434 | 2020-05-05 | Chester | Pennsylvania | 42029 | 1647 | 149 |
117435 | 117435 | 2020-05-05 | Clarion | Pennsylvania | 42031 | 23 | 1 |
117436 | 117436 | 2020-05-05 | Clearfield | Pennsylvania | 42033 | 21 | 0 |
117437 | 117437 | 2020-05-05 | Clinton | Pennsylvania | 42035 | 33 | 0 |
117438 | 117438 | 2020-05-05 | Columbia | Pennsylvania | 42037 | 298 | 16 |
117439 | 117439 | 2020-05-05 | Crawford | Pennsylvania | 42039 | 19 | 0 |
117440 | 117440 | 2020-05-05 | Cumberland | Pennsylvania | 42041 | 382 | 25 |
117441 | 117441 | 2020-05-05 | Dauphin | Pennsylvania | 42043 | 695 | 29 |
117442 | 117442 | 2020-05-05 | Delaware | Pennsylvania | 42045 | 4326 | 320 |
117443 | 117443 | 2020-05-05 | Elk | Pennsylvania | 42047 | 4 | 0 |
117444 | 117444 | 2020-05-05 | Erie | Pennsylvania | 42049 | 93 | 2 |
117445 | 117445 | 2020-05-05 | Fayette | Pennsylvania | 42051 | 84 | 4 |
117446 | 117446 | 2020-05-05 | Forest | Pennsylvania | 42053 | 7 | 0 |
117447 | 117447 | 2020-05-05 | Franklin | Pennsylvania | 42055 | 396 | 10 |
117448 | 117448 | 2020-05-05 | Fulton | Pennsylvania | 42057 | 7 | 0 |
117449 | 117449 | 2020-05-05 | Greene | Pennsylvania | 42059 | 27 | 1 |
117450 | 117450 | 2020-05-05 | Huntingdon | Pennsylvania | 42061 | 59 | 0 |
117451 | 117451 | 2020-05-05 | Indiana | Pennsylvania | 42063 | 74 | 5 |
117452 | 117452 | 2020-05-05 | Jefferson | Pennsylvania | 42065 | 6 | 0 |
117453 | 117453 | 2020-05-05 | Juniata | Pennsylvania | 42067 | 86 | 1 |
117454 | 117454 | 2020-05-05 | Lackawanna | Pennsylvania | 42069 | 1038 | 103 |
117455 | 117455 | 2020-05-05 | Lancaster | Pennsylvania | 42071 | 2018 | 206 |
117456 | 117456 | 2020-05-05 | Lawrence | Pennsylvania | 42073 | 67 | 7 |
117457 | 117457 | 2020-05-05 | Lebanon | Pennsylvania | 42075 | 766 | 15 |
117458 | 117458 | 2020-05-05 | Lehigh | Pennsylvania | 42077 | 2999 | 94 |
117459 | 117459 | 2020-05-05 | Luzerne | Pennsylvania | 42079 | 2280 | 104 |
117460 | 117460 | 2020-05-05 | Lycoming | Pennsylvania | 42081 | 86 | 4 |
117461 | 117461 | 2020-05-05 | McKean | Pennsylvania | 42083 | 6 | 0 |
117462 | 117462 | 2020-05-05 | Mercer | Pennsylvania | 42085 | 67 | 1 |
117463 | 117463 | 2020-05-05 | Mifflin | Pennsylvania | 42087 | 42 | 0 |
117464 | 117464 | 2020-05-05 | Monroe | Pennsylvania | 42089 | 1186 | 60 |
117465 | 117465 | 2020-05-05 | Montgomery | Pennsylvania | 42091 | 4687 | 443 |
117466 | 117466 | 2020-05-05 | Montour | Pennsylvania | 42093 | 50 | 0 |
117467 | 117467 | 2020-05-05 | Northampton | Pennsylvania | 42095 | 2279 | 117 |
117468 | 117468 | 2020-05-05 | Northumberland | Pennsylvania | 42097 | 107 | 0 |
117469 | 117469 | 2020-05-05 | Perry | Pennsylvania | 42099 | 34 | 1 |
117470 | 117470 | 2020-05-05 | Philadelphia | Pennsylvania | 42101 | 16410 | 743 |
117471 | 117471 | 2020-05-05 | Pike | Pennsylvania | 42103 | 412 | 17 |
117472 | 117472 | 2020-05-05 | Potter | Pennsylvania | 42105 | 4 | 0 |
117473 | 117473 | 2020-05-05 | Schuylkill | Pennsylvania | 42107 | 405 | 7 |
117474 | 117474 | 2020-05-05 | Snyder | Pennsylvania | 42109 | 33 | 1 |
117475 | 117475 | 2020-05-05 | Somerset | Pennsylvania | 42111 | 30 | 1 |
117476 | 117476 | 2020-05-05 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
117477 | 117477 | 2020-05-05 | Susquehanna | Pennsylvania | 42115 | 86 | 11 |
117478 | 117478 | 2020-05-05 | Tioga | Pennsylvania | 42117 | 16 | 2 |
117479 | 117479 | 2020-05-05 | Union | Pennsylvania | 42119 | 38 | 1 |
117480 | 117480 | 2020-05-05 | Venango | Pennsylvania | 42121 | 7 | 0 |
117481 | 117481 | 2020-05-05 | Warren | Pennsylvania | 42123 | 1 | 1 |
117482 | 117482 | 2020-05-05 | Washington | Pennsylvania | 42125 | 120 | 2 |
117483 | 117483 | 2020-05-05 | Wayne | Pennsylvania | 42127 | 109 | 5 |
117484 | 117484 | 2020-05-05 | Westmoreland | Pennsylvania | 42129 | 405 | 31 |
117485 | 117485 | 2020-05-05 | Wyoming | Pennsylvania | 42131 | 27 | 2 |
117486 | 117486 | 2020-05-05 | York | Pennsylvania | 42133 | 716 | 13 |
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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);