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 2020-07-01 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
292420 | 292420 | 2020-07-01 | Adams | Pennsylvania | 42001 | 341 | 12 |
292421 | 292421 | 2020-07-01 | Allegheny | Pennsylvania | 42003 | 2870 | 187 |
292422 | 292422 | 2020-07-01 | Armstrong | Pennsylvania | 42005 | 76 | 6 |
292423 | 292423 | 2020-07-01 | Beaver | Pennsylvania | 42007 | 678 | 78 |
292424 | 292424 | 2020-07-01 | Bedford | Pennsylvania | 42009 | 87 | 3 |
292425 | 292425 | 2020-07-01 | Berks | Pennsylvania | 42011 | 4559 | 351 |
292426 | 292426 | 2020-07-01 | Blair | Pennsylvania | 42013 | 72 | 1 |
292427 | 292427 | 2020-07-01 | Bradford | Pennsylvania | 42015 | 58 | 3 |
292428 | 292428 | 2020-07-01 | Bucks | Pennsylvania | 42017 | 5777 | 564 |
292429 | 292429 | 2020-07-01 | Butler | Pennsylvania | 42019 | 311 | 13 |
292430 | 292430 | 2020-07-01 | Cambria | Pennsylvania | 42021 | 83 | 3 |
292431 | 292431 | 2020-07-01 | Cameron | Pennsylvania | 42023 | 3 | 0 |
292432 | 292432 | 2020-07-01 | Carbon | Pennsylvania | 42025 | 280 | 26 |
292433 | 292433 | 2020-07-01 | Centre | Pennsylvania | 42027 | 205 | 7 |
292434 | 292434 | 2020-07-01 | Chester | Pennsylvania | 42029 | 3775 | 324 |
292435 | 292435 | 2020-07-01 | Clarion | Pennsylvania | 42031 | 35 | 2 |
292436 | 292436 | 2020-07-01 | Clearfield | Pennsylvania | 42033 | 72 | 0 |
292437 | 292437 | 2020-07-01 | Clinton | Pennsylvania | 42035 | 80 | 4 |
292438 | 292438 | 2020-07-01 | Columbia | Pennsylvania | 42037 | 403 | 34 |
292439 | 292439 | 2020-07-01 | Crawford | Pennsylvania | 42039 | 57 | 0 |
292440 | 292440 | 2020-07-01 | Cumberland | Pennsylvania | 42041 | 856 | 64 |
292441 | 292441 | 2020-07-01 | Dauphin | Pennsylvania | 42043 | 2059 | 133 |
292442 | 292442 | 2020-07-01 | Delaware | Pennsylvania | 42045 | 7275 | 701 |
292443 | 292443 | 2020-07-01 | Elk | Pennsylvania | 42047 | 15 | 0 |
292444 | 292444 | 2020-07-01 | Erie | Pennsylvania | 42049 | 620 | 13 |
292445 | 292445 | 2020-07-01 | Fayette | Pennsylvania | 42051 | 117 | 4 |
292446 | 292446 | 2020-07-01 | Forest | Pennsylvania | 42053 | 7 | 0 |
292447 | 292447 | 2020-07-01 | Franklin | Pennsylvania | 42055 | 940 | 43 |
292448 | 292448 | 2020-07-01 | Fulton | Pennsylvania | 42057 | 18 | 1 |
292449 | 292449 | 2020-07-01 | Greene | Pennsylvania | 42059 | 41 | 0 |
292450 | 292450 | 2020-07-01 | Huntingdon | Pennsylvania | 42061 | 252 | 4 |
292451 | 292451 | 2020-07-01 | Indiana | Pennsylvania | 42063 | 111 | 6 |
292452 | 292452 | 2020-07-01 | Jefferson | Pennsylvania | 42065 | 24 | 1 |
292453 | 292453 | 2020-07-01 | Juniata | Pennsylvania | 42067 | 111 | 6 |
292454 | 292454 | 2020-07-01 | Lackawanna | Pennsylvania | 42069 | 1707 | 203 |
292455 | 292455 | 2020-07-01 | Lancaster | Pennsylvania | 42071 | 4464 | 357 |
292456 | 292456 | 2020-07-01 | Lawrence | Pennsylvania | 42073 | 103 | 9 |
292457 | 292457 | 2020-07-01 | Lebanon | Pennsylvania | 42075 | 1350 | 43 |
292458 | 292458 | 2020-07-01 | Lehigh | Pennsylvania | 42077 | 4258 | 297 |
292459 | 292459 | 2020-07-01 | Luzerne | Pennsylvania | 42079 | 2915 | 177 |
292460 | 292460 | 2020-07-01 | Lycoming | Pennsylvania | 42081 | 187 | 19 |
292461 | 292461 | 2020-07-01 | McKean | Pennsylvania | 42083 | 18 | 1 |
292462 | 292462 | 2020-07-01 | Mercer | Pennsylvania | 42085 | 140 | 6 |
292463 | 292463 | 2020-07-01 | Mifflin | Pennsylvania | 42087 | 63 | 1 |
292464 | 292464 | 2020-07-01 | Monroe | Pennsylvania | 42089 | 1423 | 108 |
292465 | 292465 | 2020-07-01 | Montgomery | Pennsylvania | 42091 | 8483 | 801 |
292466 | 292466 | 2020-07-01 | Montour | Pennsylvania | 42093 | 74 | 1 |
292467 | 292467 | 2020-07-01 | Northampton | Pennsylvania | 42095 | 3425 | 266 |
292468 | 292468 | 2020-07-01 | Northumberland | Pennsylvania | 42097 | 314 | 5 |
292469 | 292469 | 2020-07-01 | Perry | Pennsylvania | 42099 | 86 | 5 |
292470 | 292470 | 2020-07-01 | Philadelphia | Pennsylvania | 42101 | 26257 | 1609 |
292471 | 292471 | 2020-07-01 | Pike | Pennsylvania | 42103 | 496 | 20 |
292472 | 292472 | 2020-07-01 | Potter | Pennsylvania | 42105 | 16 | 0 |
292473 | 292473 | 2020-07-01 | Schuylkill | Pennsylvania | 42107 | 747 | 44 |
292474 | 292474 | 2020-07-01 | Snyder | Pennsylvania | 42109 | 66 | 2 |
292475 | 292475 | 2020-07-01 | Somerset | Pennsylvania | 42111 | 61 | 1 |
292476 | 292476 | 2020-07-01 | Sullivan | Pennsylvania | 42113 | 5 | 0 |
292477 | 292477 | 2020-07-01 | Susquehanna | Pennsylvania | 42115 | 182 | 23 |
292478 | 292478 | 2020-07-01 | Tioga | Pennsylvania | 42117 | 25 | 2 |
292479 | 292479 | 2020-07-01 | Union | Pennsylvania | 42119 | 91 | 2 |
292480 | 292480 | 2020-07-01 | Venango | Pennsylvania | 42121 | 19 | 0 |
292481 | 292481 | 2020-07-01 | Warren | Pennsylvania | 42123 | 7 | 0 |
292482 | 292482 | 2020-07-01 | Washington | Pennsylvania | 42125 | 230 | 6 |
292483 | 292483 | 2020-07-01 | Wayne | Pennsylvania | 42127 | 140 | 9 |
292484 | 292484 | 2020-07-01 | Westmoreland | Pennsylvania | 42129 | 675 | 38 |
292485 | 292485 | 2020-07-01 | Wyoming | Pennsylvania | 42131 | 38 | 7 |
292486 | 292486 | 2020-07-01 | York | Pennsylvania | 42133 | 1531 | 48 |
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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);