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 2020-04-14 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
58393 | 58393 | 2020-04-14 | Adams | Pennsylvania | 42001 | 63 | 1 |
58394 | 58394 | 2020-04-14 | Allegheny | Pennsylvania | 42003 | 893 | 24 |
58395 | 58395 | 2020-04-14 | Armstrong | Pennsylvania | 42005 | 28 | 1 |
58396 | 58396 | 2020-04-14 | Beaver | Pennsylvania | 42007 | 156 | 14 |
58397 | 58397 | 2020-04-14 | Bedford | Pennsylvania | 42009 | 5 | 1 |
58398 | 58398 | 2020-04-14 | Berks | Pennsylvania | 42011 | 1247 | 27 |
58399 | 58399 | 2020-04-14 | Blair | Pennsylvania | 42013 | 11 | 0 |
58400 | 58400 | 2020-04-14 | Bradford | Pennsylvania | 42015 | 19 | 0 |
58401 | 58401 | 2020-04-14 | Bucks | Pennsylvania | 42017 | 1399 | 52 |
58402 | 58402 | 2020-04-14 | Butler | Pennsylvania | 42019 | 143 | 5 |
58403 | 58403 | 2020-04-14 | Cambria | Pennsylvania | 42021 | 14 | 1 |
58404 | 58404 | 2020-04-14 | Cameron | Pennsylvania | 42023 | 1 | 0 |
58405 | 58405 | 2020-04-14 | Carbon | Pennsylvania | 42025 | 103 | 3 |
58406 | 58406 | 2020-04-14 | Centre | Pennsylvania | 42027 | 70 | 0 |
58407 | 58407 | 2020-04-14 | Chester | Pennsylvania | 42029 | 636 | 20 |
58408 | 58408 | 2020-04-14 | Clarion | Pennsylvania | 42031 | 16 | 0 |
58409 | 58409 | 2020-04-14 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
58410 | 58410 | 2020-04-14 | Clinton | Pennsylvania | 42035 | 8 | 0 |
58411 | 58411 | 2020-04-14 | Columbia | Pennsylvania | 42037 | 125 | 3 |
58412 | 58412 | 2020-04-14 | Crawford | Pennsylvania | 42039 | 16 | 0 |
58413 | 58413 | 2020-04-14 | Cumberland | Pennsylvania | 42041 | 124 | 4 |
58414 | 58414 | 2020-04-14 | Dauphin | Pennsylvania | 42043 | 249 | 5 |
58415 | 58415 | 2020-04-14 | Delaware | Pennsylvania | 42045 | 1851 | 46 |
58416 | 58416 | 2020-04-14 | Elk | Pennsylvania | 42047 | 2 | 0 |
58417 | 58417 | 2020-04-14 | Erie | Pennsylvania | 42049 | 41 | 1 |
58418 | 58418 | 2020-04-14 | Fayette | Pennsylvania | 42051 | 58 | 3 |
58419 | 58419 | 2020-04-14 | Forest | Pennsylvania | 42053 | 5 | 0 |
58420 | 58420 | 2020-04-14 | Franklin | Pennsylvania | 42055 | 69 | 0 |
58421 | 58421 | 2020-04-14 | Fulton | Pennsylvania | 42057 | 2 | 0 |
58422 | 58422 | 2020-04-14 | Greene | Pennsylvania | 42059 | 23 | 0 |
58423 | 58423 | 2020-04-14 | Huntingdon | Pennsylvania | 42061 | 11 | 0 |
58424 | 58424 | 2020-04-14 | Indiana | Pennsylvania | 42063 | 43 | 0 |
58425 | 58425 | 2020-04-14 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
58426 | 58426 | 2020-04-14 | Juniata | Pennsylvania | 42067 | 43 | 0 |
58427 | 58427 | 2020-04-14 | Lackawanna | Pennsylvania | 42069 | 501 | 24 |
58428 | 58428 | 2020-04-14 | Lancaster | Pennsylvania | 42071 | 865 | 56 |
58429 | 58429 | 2020-04-14 | Lawrence | Pennsylvania | 42073 | 51 | 4 |
58430 | 58430 | 2020-04-14 | Lebanon | Pennsylvania | 42075 | 328 | 2 |
58431 | 58431 | 2020-04-14 | Lehigh | Pennsylvania | 42077 | 1803 | 23 |
58432 | 58432 | 2020-04-14 | Luzerne | Pennsylvania | 42079 | 1523 | 26 |
58433 | 58433 | 2020-04-14 | Lycoming | Pennsylvania | 42081 | 29 | 0 |
58434 | 58434 | 2020-04-14 | McKean | Pennsylvania | 42083 | 4 | 0 |
58435 | 58435 | 2020-04-14 | Mercer | Pennsylvania | 42085 | 44 | 0 |
58436 | 58436 | 2020-04-14 | Mifflin | Pennsylvania | 42087 | 16 | 0 |
58437 | 58437 | 2020-04-14 | Monroe | Pennsylvania | 42089 | 847 | 27 |
58438 | 58438 | 2020-04-14 | Montgomery | Pennsylvania | 42091 | 2354 | 109 |
58439 | 58439 | 2020-04-14 | Montour | Pennsylvania | 42093 | 44 | 0 |
58440 | 58440 | 2020-04-14 | Northampton | Pennsylvania | 42095 | 1176 | 25 |
58441 | 58441 | 2020-04-14 | Northumberland | Pennsylvania | 42097 | 48 | 0 |
58442 | 58442 | 2020-04-14 | Perry | Pennsylvania | 42099 | 17 | 1 |
58443 | 58443 | 2020-04-14 | Philadelphia | Pennsylvania | 42101 | 7130 | 206 |
58444 | 58444 | 2020-04-14 | Pike | Pennsylvania | 42103 | 256 | 6 |
58445 | 58445 | 2020-04-14 | Potter | Pennsylvania | 42105 | 4 | 0 |
58446 | 58446 | 2020-04-14 | Schuylkill | Pennsylvania | 42107 | 200 | 2 |
58447 | 58447 | 2020-04-14 | Snyder | Pennsylvania | 42109 | 24 | 1 |
58448 | 58448 | 2020-04-14 | Somerset | Pennsylvania | 42111 | 13 | 0 |
58449 | 58449 | 2020-04-14 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
58450 | 58450 | 2020-04-14 | Susquehanna | Pennsylvania | 42115 | 32 | 1 |
58451 | 58451 | 2020-04-14 | Tioga | Pennsylvania | 42117 | 13 | 1 |
58452 | 58452 | 2020-04-14 | Union | Pennsylvania | 42119 | 23 | 0 |
58453 | 58453 | 2020-04-14 | Venango | Pennsylvania | 42121 | 6 | 0 |
58454 | 58454 | 2020-04-14 | Warren | Pennsylvania | 42123 | 1 | 0 |
58455 | 58455 | 2020-04-14 | Washington | Pennsylvania | 42125 | 70 | 1 |
58456 | 58456 | 2020-04-14 | Wayne | Pennsylvania | 42127 | 70 | 1 |
58457 | 58457 | 2020-04-14 | Westmoreland | Pennsylvania | 42129 | 231 | 16 |
58458 | 58458 | 2020-04-14 | Wyoming | Pennsylvania | 42131 | 11 | 0 |
58459 | 58459 | 2020-04-14 | York | Pennsylvania | 42133 | 371 | 3 |
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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);