ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2020-05-22" and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
168442 | 168442 | 2020-05-22 | Adams | Pennsylvania | 42001 | 214 | 5 |
168443 | 168443 | 2020-05-22 | Allegheny | Pennsylvania | 42003 | 1739 | 154 |
168444 | 168444 | 2020-05-22 | Armstrong | Pennsylvania | 42005 | 58 | 2 |
168445 | 168445 | 2020-05-22 | Beaver | Pennsylvania | 42007 | 550 | 71 |
168446 | 168446 | 2020-05-22 | Bedford | Pennsylvania | 42009 | 36 | 2 |
168447 | 168447 | 2020-05-22 | Berks | Pennsylvania | 42011 | 3838 | 283 |
168448 | 168448 | 2020-05-22 | Blair | Pennsylvania | 42013 | 46 | 1 |
168449 | 168449 | 2020-05-22 | Bradford | Pennsylvania | 42015 | 43 | 3 |
168450 | 168450 | 2020-05-22 | Bucks | Pennsylvania | 42017 | 4764 | 454 |
168451 | 168451 | 2020-05-22 | Butler | Pennsylvania | 42019 | 209 | 12 |
168452 | 168452 | 2020-05-22 | Cambria | Pennsylvania | 42021 | 55 | 2 |
168453 | 168453 | 2020-05-22 | Cameron | Pennsylvania | 42023 | 2 | 0 |
168454 | 168454 | 2020-05-22 | Carbon | Pennsylvania | 42025 | 224 | 22 |
168455 | 168455 | 2020-05-22 | Centre | Pennsylvania | 42027 | 138 | 5 |
168456 | 168456 | 2020-05-22 | Chester | Pennsylvania | 42029 | 2363 | 242 |
168457 | 168457 | 2020-05-22 | Clarion | Pennsylvania | 42031 | 25 | 2 |
168458 | 168458 | 2020-05-22 | Clearfield | Pennsylvania | 42033 | 33 | 0 |
168459 | 168459 | 2020-05-22 | Clinton | Pennsylvania | 42035 | 48 | 0 |
168460 | 168460 | 2020-05-22 | Columbia | Pennsylvania | 42037 | 342 | 29 |
168461 | 168461 | 2020-05-22 | Crawford | Pennsylvania | 42039 | 21 | 0 |
168462 | 168462 | 2020-05-22 | Cumberland | Pennsylvania | 42041 | 572 | 43 |
168463 | 168463 | 2020-05-22 | Dauphin | Pennsylvania | 42043 | 1049 | 57 |
168464 | 168464 | 2020-05-22 | Delaware | Pennsylvania | 42045 | 6112 | 518 |
168465 | 168465 | 2020-05-22 | Elk | Pennsylvania | 42047 | 6 | 0 |
168466 | 168466 | 2020-05-22 | Erie | Pennsylvania | 42049 | 190 | 4 |
168467 | 168467 | 2020-05-22 | Fayette | Pennsylvania | 42051 | 93 | 4 |
168468 | 168468 | 2020-05-22 | Forest | Pennsylvania | 42053 | 7 | 0 |
168469 | 168469 | 2020-05-22 | Franklin | Pennsylvania | 42055 | 697 | 28 |
168470 | 168470 | 2020-05-22 | Fulton | Pennsylvania | 42057 | 14 | 1 |
168471 | 168471 | 2020-05-22 | Greene | Pennsylvania | 42059 | 27 | 0 |
168472 | 168472 | 2020-05-22 | Huntingdon | Pennsylvania | 42061 | 223 | 1 |
168473 | 168473 | 2020-05-22 | Indiana | Pennsylvania | 42063 | 89 | 4 |
168474 | 168474 | 2020-05-22 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
168475 | 168475 | 2020-05-22 | Juniata | Pennsylvania | 42067 | 94 | 4 |
168476 | 168476 | 2020-05-22 | Lackawanna | Pennsylvania | 42069 | 1451 | 148 |
168477 | 168477 | 2020-05-22 | Lancaster | Pennsylvania | 42071 | 2736 | 278 |
168478 | 168478 | 2020-05-22 | Lawrence | Pennsylvania | 42073 | 73 | 8 |
168479 | 168479 | 2020-05-22 | Lebanon | Pennsylvania | 42075 | 892 | 24 |
168480 | 168480 | 2020-05-22 | Lehigh | Pennsylvania | 42077 | 3613 | 197 |
168481 | 168481 | 2020-05-22 | Luzerne | Pennsylvania | 42079 | 2620 | 133 |
168482 | 168482 | 2020-05-22 | Lycoming | Pennsylvania | 42081 | 155 | 12 |
168483 | 168483 | 2020-05-22 | McKean | Pennsylvania | 42083 | 11 | 1 |
168484 | 168484 | 2020-05-22 | Mercer | Pennsylvania | 42085 | 102 | 4 |
168485 | 168485 | 2020-05-22 | Mifflin | Pennsylvania | 42087 | 57 | 1 |
168486 | 168486 | 2020-05-22 | Monroe | Pennsylvania | 42089 | 1295 | 97 |
168487 | 168487 | 2020-05-22 | Montgomery | Pennsylvania | 42091 | 6366 | 619 |
168488 | 168488 | 2020-05-22 | Montour | Pennsylvania | 42093 | 50 | 0 |
168489 | 168489 | 2020-05-22 | Northampton | Pennsylvania | 42095 | 2842 | 192 |
168490 | 168490 | 2020-05-22 | Northumberland | Pennsylvania | 42097 | 155 | 2 |
168491 | 168491 | 2020-05-22 | Perry | Pennsylvania | 42099 | 43 | 1 |
168492 | 168492 | 2020-05-22 | Philadelphia | Pennsylvania | 42101 | 21009 | 1221 |
168493 | 168493 | 2020-05-22 | Pike | Pennsylvania | 42103 | 475 | 18 |
168494 | 168494 | 2020-05-22 | Potter | Pennsylvania | 42105 | 4 | 0 |
168495 | 168495 | 2020-05-22 | Schuylkill | Pennsylvania | 42107 | 560 | 26 |
168496 | 168496 | 2020-05-22 | Snyder | Pennsylvania | 42109 | 35 | 1 |
168497 | 168497 | 2020-05-22 | Somerset | Pennsylvania | 42111 | 37 | 0 |
168498 | 168498 | 2020-05-22 | Sullivan | Pennsylvania | 42113 | 2 | 0 |
168499 | 168499 | 2020-05-22 | Susquehanna | Pennsylvania | 42115 | 93 | 15 |
168500 | 168500 | 2020-05-22 | Tioga | Pennsylvania | 42117 | 16 | 2 |
168501 | 168501 | 2020-05-22 | Union | Pennsylvania | 42119 | 61 | 1 |
168502 | 168502 | 2020-05-22 | Venango | Pennsylvania | 42121 | 8 | 0 |
168503 | 168503 | 2020-05-22 | Warren | Pennsylvania | 42123 | 3 | 0 |
168504 | 168504 | 2020-05-22 | Washington | Pennsylvania | 42125 | 134 | 5 |
168505 | 168505 | 2020-05-22 | Wayne | Pennsylvania | 42127 | 115 | 6 |
168506 | 168506 | 2020-05-22 | Westmoreland | Pennsylvania | 42129 | 436 | 38 |
168507 | 168507 | 2020-05-22 | Wyoming | Pennsylvania | 42131 | 33 | 7 |
168508 | 168508 | 2020-05-22 | York | Pennsylvania | 42133 | 895 | 22 |
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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);