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 2022-04-22 and state = "Pennsylvania" sorted by date descending
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fips 67
- 42001 1
- 42003 1
- 42005 1
- 42007 1
- 42009 1
- 42011 1
- 42013 1
- 42015 1
- 42017 1
- 42019 1
- 42021 1
- 42023 1
- 42025 1
- 42027 1
- 42029 1
- 42031 1
- 42033 1
- 42035 1
- 42037 1
- 42039 1
- 42041 1
- 42043 1
- 42045 1
- 42047 1
- 42049 1
- 42051 1
- 42053 1
- 42055 1
- 42057 1
- 42059 1
- 42061 1
- 42063 1
- 42065 1
- 42067 1
- 42069 1
- 42071 1
- 42073 1
- 42075 1
- 42077 1
- 42079 1
- 42081 1
- 42083 1
- 42085 1
- 42087 1
- 42089 1
- 42091 1
- 42093 1
- 42095 1
- 42097 1
- 42099 1
- 42101 1
- 42103 1
- 42105 1
- 42107 1
- 42109 1
- 42111 1
- 42113 1
- 42115 1
- 42117 1
- 42119 1
- 42121 1
- 42123 1
- 42125 1
- 42127 1
- 42129 1
- 42131 1
- 42133 1
county 67
- Adams 1
- Allegheny 1
- Armstrong 1
- Beaver 1
- Bedford 1
- Berks 1
- Blair 1
- Bradford 1
- Bucks 1
- Butler 1
- Cambria 1
- Cameron 1
- Carbon 1
- Centre 1
- Chester 1
- Clarion 1
- Clearfield 1
- Clinton 1
- Columbia 1
- Crawford 1
- Cumberland 1
- Dauphin 1
- Delaware 1
- Elk 1
- Erie 1
- Fayette 1
- Forest 1
- Franklin 1
- Fulton 1
- Greene 1
- Huntingdon 1
- Indiana 1
- Jefferson 1
- Juniata 1
- Lackawanna 1
- Lancaster 1
- Lawrence 1
- Lebanon 1
- Lehigh 1
- Luzerne 1
- Lycoming 1
- McKean 1
- Mercer 1
- Mifflin 1
- Monroe 1
- Montgomery 1
- Montour 1
- Northampton 1
- Northumberland 1
- Perry 1
- Philadelphia 1
- Pike 1
- Potter 1
- Schuylkill 1
- Snyder 1
- Somerset 1
- Sullivan 1
- Susquehanna 1
- Tioga 1
- Union 1
- Venango 1
- Warren 1
- Washington 1
- Wayne 1
- Westmoreland 1
- Wyoming 1
- York 1
state 1
- Pennsylvania · 67 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2433456 | 2433456 | 2022-04-22 | Adams | Pennsylvania | 42001 | 24837 | 361 |
2433457 | 2433457 | 2022-04-22 | Allegheny | Pennsylvania | 42003 | 265968 | 3311 |
2433458 | 2433458 | 2022-04-22 | Armstrong | Pennsylvania | 42005 | 15289 | 343 |
2433459 | 2433459 | 2022-04-22 | Beaver | Pennsylvania | 42007 | 40290 | 742 |
2433460 | 2433460 | 2022-04-22 | Bedford | Pennsylvania | 42009 | 10980 | 275 |
2433461 | 2433461 | 2022-04-22 | Berks | Pennsylvania | 42011 | 102625 | 1593 |
2433462 | 2433462 | 2022-04-22 | Blair | Pennsylvania | 42013 | 29729 | 614 |
2433463 | 2433463 | 2022-04-22 | Bradford | Pennsylvania | 42015 | 15484 | 204 |
2433464 | 2433464 | 2022-04-22 | Bucks | Pennsylvania | 42017 | 124145 | 1891 |
2433465 | 2433465 | 2022-04-22 | Butler | Pennsylvania | 42019 | 44646 | 736 |
2433466 | 2433466 | 2022-04-22 | Cambria | Pennsylvania | 42021 | 34650 | 729 |
2433467 | 2433467 | 2022-04-22 | Cameron | Pennsylvania | 42023 | 815 | 20 |
2433468 | 2433468 | 2022-04-22 | Carbon | Pennsylvania | 42025 | 15958 | 294 |
2433469 | 2433469 | 2022-04-22 | Centre | Pennsylvania | 42027 | 35459 | 348 |
2433470 | 2433470 | 2022-04-22 | Chester | Pennsylvania | 42029 | 92809 | 1150 |
2433471 | 2433471 | 2022-04-22 | Clarion | Pennsylvania | 42031 | 8242 | 202 |
2433472 | 2433472 | 2022-04-22 | Clearfield | Pennsylvania | 42033 | 19344 | 347 |
2433473 | 2433473 | 2022-04-22 | Clinton | Pennsylvania | 42035 | 9062 | 126 |
2433474 | 2433474 | 2022-04-22 | Columbia | Pennsylvania | 42037 | 15184 | 244 |
2433475 | 2433475 | 2022-04-22 | Crawford | Pennsylvania | 42039 | 19825 | 318 |
2433476 | 2433476 | 2022-04-22 | Cumberland | Pennsylvania | 42041 | 51104 | 891 |
2433477 | 2433477 | 2022-04-22 | Dauphin | Pennsylvania | 42043 | 59203 | 961 |
2433478 | 2433478 | 2022-04-22 | Delaware | Pennsylvania | 42045 | 111008 | 1871 |
2433479 | 2433479 | 2022-04-22 | Elk | Pennsylvania | 42047 | 7136 | 101 |
2433480 | 2433480 | 2022-04-22 | Erie | Pennsylvania | 42049 | 57328 | 758 |
2433481 | 2433481 | 2022-04-22 | Fayette | Pennsylvania | 42051 | 31104 | 669 |
2433482 | 2433482 | 2022-04-22 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2433483 | 2433483 | 2022-04-22 | Franklin | Pennsylvania | 42055 | 40396 | 692 |
2433484 | 2433484 | 2022-04-22 | Fulton | Pennsylvania | 42057 | 4130 | 65 |
2433485 | 2433485 | 2022-04-22 | Greene | Pennsylvania | 42059 | 8464 | 104 |
2433486 | 2433486 | 2022-04-22 | Huntingdon | Pennsylvania | 42061 | 11528 | 245 |
2433487 | 2433487 | 2022-04-22 | Indiana | Pennsylvania | 42063 | 17468 | 355 |
2433488 | 2433488 | 2022-04-22 | Jefferson | Pennsylvania | 42065 | 9027 | 233 |
2433489 | 2433489 | 2022-04-22 | Juniata | Pennsylvania | 42067 | 4770 | 176 |
2433490 | 2433490 | 2022-04-22 | Lackawanna | Pennsylvania | 42069 | 43889 | 769 |
2433491 | 2433491 | 2022-04-22 | Lancaster | Pennsylvania | 42071 | 121407 | 1885 |
2433492 | 2433492 | 2022-04-22 | Lawrence | Pennsylvania | 42073 | 18976 | 415 |
2433493 | 2433493 | 2022-04-22 | Lebanon | Pennsylvania | 42075 | 36654 | 518 |
2433494 | 2433494 | 2022-04-22 | Lehigh | Pennsylvania | 42077 | 89989 | 1236 |
2433495 | 2433495 | 2022-04-22 | Luzerne | Pennsylvania | 42079 | 73841 | 1355 |
2433496 | 2433496 | 2022-04-22 | Lycoming | Pennsylvania | 42081 | 28550 | 515 |
2433497 | 2433497 | 2022-04-22 | McKean | Pennsylvania | 42083 | 8212 | 140 |
2433498 | 2433498 | 2022-04-22 | Mercer | Pennsylvania | 42085 | 23378 | 496 |
2433499 | 2433499 | 2022-04-22 | Mifflin | Pennsylvania | 42087 | 12302 | 276 |
2433500 | 2433500 | 2022-04-22 | Monroe | Pennsylvania | 42089 | 37238 | 519 |
2433501 | 2433501 | 2022-04-22 | Montgomery | Pennsylvania | 42091 | 154172 | 2316 |
2433502 | 2433502 | 2022-04-22 | Montour | Pennsylvania | 42093 | 4545 | 93 |
2433503 | 2433503 | 2022-04-22 | Northampton | Pennsylvania | 42095 | 80129 | 1090 |
2433504 | 2433504 | 2022-04-22 | Northumberland | Pennsylvania | 42097 | 22881 | 533 |
2433505 | 2433505 | 2022-04-22 | Perry | Pennsylvania | 42099 | 8841 | 184 |
2433506 | 2433506 | 2022-04-22 | Philadelphia | Pennsylvania | 42101 | 311951 | 5088 |
2433507 | 2433507 | 2022-04-22 | Pike | Pennsylvania | 42103 | 10302 | 95 |
2433508 | 2433508 | 2022-04-22 | Potter | Pennsylvania | 42105 | 3209 | 92 |
2433509 | 2433509 | 2022-04-22 | Schuylkill | Pennsylvania | 42107 | 34522 | 674 |
2433510 | 2433510 | 2022-04-22 | Snyder | Pennsylvania | 42109 | 8110 | 157 |
2433511 | 2433511 | 2022-04-22 | Somerset | Pennsylvania | 42111 | 18750 | 406 |
2433512 | 2433512 | 2022-04-22 | Sullivan | Pennsylvania | 42113 | 1056 | 36 |
2433513 | 2433513 | 2022-04-22 | Susquehanna | Pennsylvania | 42115 | 7942 | 109 |
2433514 | 2433514 | 2022-04-22 | Tioga | Pennsylvania | 42117 | 8096 | 192 |
2433515 | 2433515 | 2022-04-22 | Union | Pennsylvania | 42119 | 11724 | 154 |
2433516 | 2433516 | 2022-04-22 | Venango | Pennsylvania | 42121 | 11269 | 238 |
2433517 | 2433517 | 2022-04-22 | Warren | Pennsylvania | 42123 | 7361 | 210 |
2433518 | 2433518 | 2022-04-22 | Washington | Pennsylvania | 42125 | 51039 | 651 |
2433519 | 2433519 | 2022-04-22 | Wayne | Pennsylvania | 42127 | 10231 | 170 |
2433520 | 2433520 | 2022-04-22 | Westmoreland | Pennsylvania | 42129 | 80035 | 1374 |
2433521 | 2433521 | 2022-04-22 | Wyoming | Pennsylvania | 42131 | 5108 | 106 |
2433522 | 2433522 | 2022-04-22 | York | Pennsylvania | 42133 | 119031 | 1496 |
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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);