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 2020-04-27 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
94512 | 94512 | 2020-04-27 | Adams | Pennsylvania | 42001 | 122 | 2 |
94513 | 94513 | 2020-04-27 | Allegheny | Pennsylvania | 42003 | 1224 | 79 |
94514 | 94514 | 2020-04-27 | Armstrong | Pennsylvania | 42005 | 47 | 2 |
94515 | 94515 | 2020-04-27 | Beaver | Pennsylvania | 42007 | 387 | 46 |
94516 | 94516 | 2020-04-27 | Bedford | Pennsylvania | 42009 | 21 | 1 |
94517 | 94517 | 2020-04-27 | Berks | Pennsylvania | 42011 | 2526 | 89 |
94518 | 94518 | 2020-04-27 | Blair | Pennsylvania | 42013 | 21 | 0 |
94519 | 94519 | 2020-04-27 | Bradford | Pennsylvania | 42015 | 28 | 5 |
94520 | 94520 | 2020-04-27 | Bucks | Pennsylvania | 42017 | 2675 | 168 |
94521 | 94521 | 2020-04-27 | Butler | Pennsylvania | 42019 | 170 | 6 |
94522 | 94522 | 2020-04-27 | Cambria | Pennsylvania | 42021 | 21 | 2 |
94523 | 94523 | 2020-04-27 | Cameron | Pennsylvania | 42023 | 1 | 0 |
94524 | 94524 | 2020-04-27 | Carbon | Pennsylvania | 42025 | 164 | 12 |
94525 | 94525 | 2020-04-27 | Centre | Pennsylvania | 42027 | 87 | 2 |
94526 | 94526 | 2020-04-27 | Chester | Pennsylvania | 42029 | 1251 | 81 |
94527 | 94527 | 2020-04-27 | Clarion | Pennsylvania | 42031 | 22 | 1 |
94528 | 94528 | 2020-04-27 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
94529 | 94529 | 2020-04-27 | Clinton | Pennsylvania | 42035 | 25 | 0 |
94530 | 94530 | 2020-04-27 | Columbia | Pennsylvania | 42037 | 277 | 8 |
94531 | 94531 | 2020-04-27 | Crawford | Pennsylvania | 42039 | 19 | 0 |
94532 | 94532 | 2020-04-27 | Cumberland | Pennsylvania | 42041 | 282 | 9 |
94533 | 94533 | 2020-04-27 | Dauphin | Pennsylvania | 42043 | 529 | 21 |
94534 | 94534 | 2020-04-27 | Delaware | Pennsylvania | 42045 | 3405 | 145 |
94535 | 94535 | 2020-04-27 | Elk | Pennsylvania | 42047 | 3 | 0 |
94536 | 94536 | 2020-04-27 | Erie | Pennsylvania | 42049 | 81 | 1 |
94537 | 94537 | 2020-04-27 | Fayette | Pennsylvania | 42051 | 79 | 4 |
94538 | 94538 | 2020-04-27 | Forest | Pennsylvania | 42053 | 7 | 0 |
94539 | 94539 | 2020-04-27 | Franklin | Pennsylvania | 42055 | 227 | 10 |
94540 | 94540 | 2020-04-27 | Fulton | Pennsylvania | 42057 | 3 | 0 |
94541 | 94541 | 2020-04-27 | Greene | Pennsylvania | 42059 | 25 | 0 |
94542 | 94542 | 2020-04-27 | Huntingdon | Pennsylvania | 42061 | 24 | 0 |
94543 | 94543 | 2020-04-27 | Indiana | Pennsylvania | 42063 | 63 | 4 |
94544 | 94544 | 2020-04-27 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
94545 | 94545 | 2020-04-27 | Juniata | Pennsylvania | 42067 | 79 | 0 |
94546 | 94546 | 2020-04-27 | Lackawanna | Pennsylvania | 42069 | 833 | 63 |
94547 | 94547 | 2020-04-27 | Lancaster | Pennsylvania | 42071 | 1633 | 152 |
94548 | 94548 | 2020-04-27 | Lawrence | Pennsylvania | 42073 | 63 | 6 |
94549 | 94549 | 2020-04-27 | Lebanon | Pennsylvania | 42075 | 621 | 8 |
94550 | 94550 | 2020-04-27 | Lehigh | Pennsylvania | 42077 | 2636 | 56 |
94551 | 94551 | 2020-04-27 | Luzerne | Pennsylvania | 42079 | 2035 | 71 |
94552 | 94552 | 2020-04-27 | Lycoming | Pennsylvania | 42081 | 57 | 2 |
94553 | 94553 | 2020-04-27 | McKean | Pennsylvania | 42083 | 5 | 0 |
94554 | 94554 | 2020-04-27 | Mercer | Pennsylvania | 42085 | 65 | 1 |
94555 | 94555 | 2020-04-27 | Mifflin | Pennsylvania | 42087 | 30 | 0 |
94556 | 94556 | 2020-04-27 | Monroe | Pennsylvania | 42089 | 1083 | 46 |
94557 | 94557 | 2020-04-27 | Montgomery | Pennsylvania | 42091 | 3817 | 232 |
94558 | 94558 | 2020-04-27 | Montour | Pennsylvania | 42093 | 48 | 0 |
94559 | 94559 | 2020-04-27 | Northampton | Pennsylvania | 42095 | 1834 | 49 |
94560 | 94560 | 2020-04-27 | Northumberland | Pennsylvania | 42097 | 90 | 0 |
94561 | 94561 | 2020-04-27 | Perry | Pennsylvania | 42099 | 26 | 1 |
94562 | 94562 | 2020-04-27 | Philadelphia | Pennsylvania | 42101 | 12868 | 484 |
94563 | 94563 | 2020-04-27 | Pike | Pennsylvania | 42103 | 352 | 12 |
94564 | 94564 | 2020-04-27 | Potter | Pennsylvania | 42105 | 4 | 0 |
94565 | 94565 | 2020-04-27 | Schuylkill | Pennsylvania | 42107 | 324 | 7 |
94566 | 94566 | 2020-04-27 | Snyder | Pennsylvania | 42109 | 33 | 1 |
94567 | 94567 | 2020-04-27 | Somerset | Pennsylvania | 42111 | 25 | 0 |
94568 | 94568 | 2020-04-27 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
94569 | 94569 | 2020-04-27 | Susquehanna | Pennsylvania | 42115 | 81 | 4 |
94570 | 94570 | 2020-04-27 | Tioga | Pennsylvania | 42117 | 14 | 2 |
94571 | 94571 | 2020-04-27 | Union | Pennsylvania | 42119 | 31 | 0 |
94572 | 94572 | 2020-04-27 | Venango | Pennsylvania | 42121 | 7 | 0 |
94573 | 94573 | 2020-04-27 | Warren | Pennsylvania | 42123 | 1 | 1 |
94574 | 94574 | 2020-04-27 | Washington | Pennsylvania | 42125 | 107 | 2 |
94575 | 94575 | 2020-04-27 | Wayne | Pennsylvania | 42127 | 93 | 3 |
94576 | 94576 | 2020-04-27 | Westmoreland | Pennsylvania | 42129 | 377 | 30 |
94577 | 94577 | 2020-04-27 | Wyoming | Pennsylvania | 42131 | 18 | 2 |
94578 | 94578 | 2020-04-27 | York | Pennsylvania | 42133 | 606 | 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);