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 2020-04-22 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
80452 | 80452 | 2020-04-22 | Adams | Pennsylvania | 42001 | 92 | 2 |
80453 | 80453 | 2020-04-22 | Allegheny | Pennsylvania | 42003 | 1088 | 74 |
80454 | 80454 | 2020-04-22 | Armstrong | Pennsylvania | 42005 | 39 | 2 |
80455 | 80455 | 2020-04-22 | Beaver | Pennsylvania | 42007 | 317 | 47 |
80456 | 80456 | 2020-04-22 | Bedford | Pennsylvania | 42009 | 16 | 1 |
80457 | 80457 | 2020-04-22 | Berks | Pennsylvania | 42011 | 2069 | 85 |
80458 | 80458 | 2020-04-22 | Blair | Pennsylvania | 42013 | 14 | 0 |
80459 | 80459 | 2020-04-22 | Bradford | Pennsylvania | 42015 | 29 | 5 |
80460 | 80460 | 2020-04-22 | Bucks | Pennsylvania | 42017 | 2067 | 126 |
80461 | 80461 | 2020-04-22 | Butler | Pennsylvania | 42019 | 164 | 7 |
80462 | 80462 | 2020-04-22 | Cambria | Pennsylvania | 42021 | 21 | 2 |
80463 | 80463 | 2020-04-22 | Cameron | Pennsylvania | 42023 | 1 | 0 |
80464 | 80464 | 2020-04-22 | Carbon | Pennsylvania | 42025 | 154 | 11 |
80465 | 80465 | 2020-04-22 | Centre | Pennsylvania | 42027 | 76 | 2 |
80466 | 80466 | 2020-04-22 | Chester | Pennsylvania | 42029 | 977 | 67 |
80467 | 80467 | 2020-04-22 | Clarion | Pennsylvania | 42031 | 19 | 1 |
80468 | 80468 | 2020-04-22 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
80469 | 80469 | 2020-04-22 | Clinton | Pennsylvania | 42035 | 13 | 0 |
80470 | 80470 | 2020-04-22 | Columbia | Pennsylvania | 42037 | 239 | 8 |
80471 | 80471 | 2020-04-22 | Crawford | Pennsylvania | 42039 | 17 | 0 |
80472 | 80472 | 2020-04-22 | Cumberland | Pennsylvania | 42041 | 207 | 6 |
80473 | 80473 | 2020-04-22 | Dauphin | Pennsylvania | 42043 | 422 | 13 |
80474 | 80474 | 2020-04-22 | Delaware | Pennsylvania | 42045 | 2798 | 124 |
80475 | 80475 | 2020-04-22 | Elk | Pennsylvania | 42047 | 2 | 0 |
80476 | 80476 | 2020-04-22 | Erie | Pennsylvania | 42049 | 62 | 1 |
80477 | 80477 | 2020-04-22 | Fayette | Pennsylvania | 42051 | 70 | 3 |
80478 | 80478 | 2020-04-22 | Forest | Pennsylvania | 42053 | 7 | 0 |
80479 | 80479 | 2020-04-22 | Franklin | Pennsylvania | 42055 | 152 | 10 |
80480 | 80480 | 2020-04-22 | Fulton | Pennsylvania | 42057 | 2 | 0 |
80481 | 80481 | 2020-04-22 | Greene | Pennsylvania | 42059 | 25 | 0 |
80482 | 80482 | 2020-04-22 | Huntingdon | Pennsylvania | 42061 | 15 | 0 |
80483 | 80483 | 2020-04-22 | Indiana | Pennsylvania | 42063 | 56 | 4 |
80484 | 80484 | 2020-04-22 | Jefferson | Pennsylvania | 42065 | 3 | 0 |
80485 | 80485 | 2020-04-22 | Juniata | Pennsylvania | 42067 | 73 | 0 |
80486 | 80486 | 2020-04-22 | Lackawanna | Pennsylvania | 42069 | 682 | 57 |
80487 | 80487 | 2020-04-22 | Lancaster | Pennsylvania | 42071 | 1326 | 122 |
80488 | 80488 | 2020-04-22 | Lawrence | Pennsylvania | 42073 | 61 | 6 |
80489 | 80489 | 2020-04-22 | Lebanon | Pennsylvania | 42075 | 535 | 8 |
80490 | 80490 | 2020-04-22 | Lehigh | Pennsylvania | 42077 | 2374 | 49 |
80491 | 80491 | 2020-04-22 | Luzerne | Pennsylvania | 42079 | 1848 | 60 |
80492 | 80492 | 2020-04-22 | Lycoming | Pennsylvania | 42081 | 43 | 2 |
80493 | 80493 | 2020-04-22 | McKean | Pennsylvania | 42083 | 5 | 0 |
80494 | 80494 | 2020-04-22 | Mercer | Pennsylvania | 42085 | 59 | 1 |
80495 | 80495 | 2020-04-22 | Mifflin | Pennsylvania | 42087 | 22 | 0 |
80496 | 80496 | 2020-04-22 | Monroe | Pennsylvania | 42089 | 1015 | 48 |
80497 | 80497 | 2020-04-22 | Montgomery | Pennsylvania | 42091 | 3294 | 230 |
80498 | 80498 | 2020-04-22 | Montour | Pennsylvania | 42093 | 48 | 0 |
80499 | 80499 | 2020-04-22 | Northampton | Pennsylvania | 42095 | 1591 | 44 |
80500 | 80500 | 2020-04-22 | Northumberland | Pennsylvania | 42097 | 77 | 0 |
80501 | 80501 | 2020-04-22 | Perry | Pennsylvania | 42099 | 23 | 1 |
80502 | 80502 | 2020-04-22 | Philadelphia | Pennsylvania | 42101 | 10643 | 419 |
80503 | 80503 | 2020-04-22 | Pike | Pennsylvania | 42103 | 317 | 12 |
80504 | 80504 | 2020-04-22 | Potter | Pennsylvania | 42105 | 4 | 0 |
80505 | 80505 | 2020-04-22 | Schuylkill | Pennsylvania | 42107 | 283 | 7 |
80506 | 80506 | 2020-04-22 | Snyder | Pennsylvania | 42109 | 31 | 1 |
80507 | 80507 | 2020-04-22 | Somerset | Pennsylvania | 42111 | 19 | 0 |
80508 | 80508 | 2020-04-22 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
80509 | 80509 | 2020-04-22 | Susquehanna | Pennsylvania | 42115 | 71 | 4 |
80510 | 80510 | 2020-04-22 | Tioga | Pennsylvania | 42117 | 15 | 2 |
80511 | 80511 | 2020-04-22 | Union | Pennsylvania | 42119 | 30 | 0 |
80512 | 80512 | 2020-04-22 | Venango | Pennsylvania | 42121 | 6 | 0 |
80513 | 80513 | 2020-04-22 | Warren | Pennsylvania | 42123 | 2 | 1 |
80514 | 80514 | 2020-04-22 | Washington | Pennsylvania | 42125 | 87 | 2 |
80515 | 80515 | 2020-04-22 | Wayne | Pennsylvania | 42127 | 86 | 3 |
80516 | 80516 | 2020-04-22 | Westmoreland | Pennsylvania | 42129 | 300 | 25 |
80517 | 80517 | 2020-04-22 | Wyoming | Pennsylvania | 42131 | 17 | 1 |
80518 | 80518 | 2020-04-22 | York | Pennsylvania | 42133 | 531 | 14 |
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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);