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 2020-04-08 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
42472 | 42472 | 2020-04-08 | Adams | Pennsylvania | 42001 | 33 | 0 |
42473 | 42473 | 2020-04-08 | Allegheny | Pennsylvania | 42003 | 720 | 10 |
42474 | 42474 | 2020-04-08 | Armstrong | Pennsylvania | 42005 | 19 | 0 |
42475 | 42475 | 2020-04-08 | Beaver | Pennsylvania | 42007 | 128 | 13 |
42476 | 42476 | 2020-04-08 | Bedford | Pennsylvania | 42009 | 4 | 0 |
42477 | 42477 | 2020-04-08 | Berks | Pennsylvania | 42011 | 416 | 7 |
42478 | 42478 | 2020-04-08 | Blair | Pennsylvania | 42013 | 6 | 0 |
42479 | 42479 | 2020-04-08 | Bradford | Pennsylvania | 42015 | 15 | 0 |
42480 | 42480 | 2020-04-08 | Bucks | Pennsylvania | 42017 | 931 | 25 |
42481 | 42481 | 2020-04-08 | Butler | Pennsylvania | 42019 | 113 | 2 |
42482 | 42482 | 2020-04-08 | Cambria | Pennsylvania | 42021 | 9 | 1 |
42483 | 42483 | 2020-04-08 | Cameron | Pennsylvania | 42023 | 1 | 0 |
42484 | 42484 | 2020-04-08 | Carbon | Pennsylvania | 42025 | 76 | 1 |
42485 | 42485 | 2020-04-08 | Centre | Pennsylvania | 42027 | 57 | 0 |
42486 | 42486 | 2020-04-08 | Chester | Pennsylvania | 42029 | 373 | 6 |
42487 | 42487 | 2020-04-08 | Clarion | Pennsylvania | 42031 | 8 | 0 |
42488 | 42488 | 2020-04-08 | Clearfield | Pennsylvania | 42033 | 7 | 0 |
42489 | 42489 | 2020-04-08 | Clinton | Pennsylvania | 42035 | 3 | 0 |
42490 | 42490 | 2020-04-08 | Columbia | Pennsylvania | 42037 | 54 | 1 |
42491 | 42491 | 2020-04-08 | Crawford | Pennsylvania | 42039 | 8 | 0 |
42492 | 42492 | 2020-04-08 | Cumberland | Pennsylvania | 42041 | 84 | 2 |
42493 | 42493 | 2020-04-08 | Dauphin | Pennsylvania | 42043 | 168 | 2 |
42494 | 42494 | 2020-04-08 | Delaware | Pennsylvania | 42045 | 1034 | 23 |
42495 | 42495 | 2020-04-08 | Elk | Pennsylvania | 42047 | 2 | 0 |
42496 | 42496 | 2020-04-08 | Erie | Pennsylvania | 42049 | 29 | 1 |
42497 | 42497 | 2020-04-08 | Fayette | Pennsylvania | 42051 | 35 | 1 |
42498 | 42498 | 2020-04-08 | Forest | Pennsylvania | 42053 | 5 | 0 |
42499 | 42499 | 2020-04-08 | Franklin | Pennsylvania | 42055 | 43 | 0 |
42500 | 42500 | 2020-04-08 | Fulton | Pennsylvania | 42057 | 1 | 0 |
42501 | 42501 | 2020-04-08 | Greene | Pennsylvania | 42059 | 17 | 0 |
42502 | 42502 | 2020-04-08 | Huntingdon | Pennsylvania | 42061 | 6 | 0 |
42503 | 42503 | 2020-04-08 | Indiana | Pennsylvania | 42063 | 21 | 0 |
42504 | 42504 | 2020-04-08 | Jefferson | Pennsylvania | 42065 | 1 | 0 |
42505 | 42505 | 2020-04-08 | Juniata | Pennsylvania | 42067 | 18 | 0 |
42506 | 42506 | 2020-04-08 | Lackawanna | Pennsylvania | 42069 | 266 | 10 |
42507 | 42507 | 2020-04-08 | Lancaster | Pennsylvania | 42071 | 561 | 16 |
42508 | 42508 | 2020-04-08 | Lawrence | Pennsylvania | 42073 | 32 | 2 |
42509 | 42509 | 2020-04-08 | Lebanon | Pennsylvania | 42075 | 169 | 0 |
42510 | 42510 | 2020-04-08 | Lehigh | Pennsylvania | 42077 | 1319 | 11 |
42511 | 42511 | 2020-04-08 | Luzerne | Pennsylvania | 42079 | 1134 | 11 |
42512 | 42512 | 2020-04-08 | Lycoming | Pennsylvania | 42081 | 15 | 0 |
42513 | 42513 | 2020-04-08 | McKean | Pennsylvania | 42083 | 1 | 0 |
42514 | 42514 | 2020-04-08 | Mercer | Pennsylvania | 42085 | 27 | 0 |
42515 | 42515 | 2020-04-08 | Mifflin | Pennsylvania | 42087 | 10 | 0 |
42516 | 42516 | 2020-04-08 | Monroe | Pennsylvania | 42089 | 671 | 17 |
42517 | 42517 | 2020-04-08 | Montgomery | Pennsylvania | 42091 | 1521 | 37 |
42518 | 42518 | 2020-04-08 | Montour | Pennsylvania | 42093 | 26 | 0 |
42519 | 42519 | 2020-04-08 | Northampton | Pennsylvania | 42095 | 857 | 17 |
42520 | 42520 | 2020-04-08 | Northumberland | Pennsylvania | 42097 | 22 | 0 |
42521 | 42521 | 2020-04-08 | Perry | Pennsylvania | 42099 | 13 | 1 |
42522 | 42522 | 2020-04-08 | Philadelphia | Pennsylvania | 42101 | 4456 | 86 |
42523 | 42523 | 2020-04-08 | Pike | Pennsylvania | 42103 | 148 | 6 |
42524 | 42524 | 2020-04-08 | Potter | Pennsylvania | 42105 | 3 | 0 |
42525 | 42525 | 2020-04-08 | Schuylkill | Pennsylvania | 42107 | 136 | 0 |
42526 | 42526 | 2020-04-08 | Snyder | Pennsylvania | 42109 | 9 | 1 |
42527 | 42527 | 2020-04-08 | Somerset | Pennsylvania | 42111 | 7 | 0 |
42528 | 42528 | 2020-04-08 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
42529 | 42529 | 2020-04-08 | Susquehanna | Pennsylvania | 42115 | 14 | 0 |
42530 | 42530 | 2020-04-08 | Tioga | Pennsylvania | 42117 | 10 | 0 |
42531 | 42531 | 2020-04-08 | Union | Pennsylvania | 42119 | 8 | 0 |
42532 | 42532 | 2020-04-08 | Venango | Pennsylvania | 42121 | 5 | 0 |
42533 | 42533 | 2020-04-08 | Warren | Pennsylvania | 42123 | 1 | 0 |
42534 | 42534 | 2020-04-08 | Washington | Pennsylvania | 42125 | 59 | 0 |
42535 | 42535 | 2020-04-08 | Wayne | Pennsylvania | 42127 | 47 | 0 |
42536 | 42536 | 2020-04-08 | Westmoreland | Pennsylvania | 42129 | 183 | 1 |
42537 | 42537 | 2020-04-08 | Wyoming | Pennsylvania | 42131 | 5 | 0 |
42538 | 42538 | 2020-04-08 | York | Pennsylvania | 42133 | 233 | 2 |
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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);