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 2022-04-06 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 |
---|---|---|---|---|---|---|---|
2381365 | 2381365 | 2022-04-06 | Adams | Pennsylvania | 42001 | 24730 | 360 |
2381366 | 2381366 | 2022-04-06 | Allegheny | Pennsylvania | 42003 | 263496 | 3294 |
2381367 | 2381367 | 2022-04-06 | Armstrong | Pennsylvania | 42005 | 15246 | 341 |
2381368 | 2381368 | 2022-04-06 | Beaver | Pennsylvania | 42007 | 40105 | 735 |
2381369 | 2381369 | 2022-04-06 | Bedford | Pennsylvania | 42009 | 10966 | 275 |
2381370 | 2381370 | 2022-04-06 | Berks | Pennsylvania | 42011 | 102205 | 1591 |
2381371 | 2381371 | 2022-04-06 | Blair | Pennsylvania | 42013 | 29630 | 610 |
2381372 | 2381372 | 2022-04-06 | Bradford | Pennsylvania | 42015 | 15154 | 200 |
2381373 | 2381373 | 2022-04-06 | Bucks | Pennsylvania | 42017 | 123129 | 1879 |
2381374 | 2381374 | 2022-04-06 | Butler | Pennsylvania | 42019 | 44412 | 729 |
2381375 | 2381375 | 2022-04-06 | Cambria | Pennsylvania | 42021 | 34547 | 722 |
2381376 | 2381376 | 2022-04-06 | Cameron | Pennsylvania | 42023 | 814 | 20 |
2381377 | 2381377 | 2022-04-06 | Carbon | Pennsylvania | 42025 | 15870 | 290 |
2381378 | 2381378 | 2022-04-06 | Centre | Pennsylvania | 42027 | 35138 | 347 |
2381379 | 2381379 | 2022-04-06 | Chester | Pennsylvania | 42029 | 91701 | 1140 |
2381380 | 2381380 | 2022-04-06 | Clarion | Pennsylvania | 42031 | 8226 | 203 |
2381381 | 2381381 | 2022-04-06 | Clearfield | Pennsylvania | 42033 | 19266 | 344 |
2381382 | 2381382 | 2022-04-06 | Clinton | Pennsylvania | 42035 | 9032 | 124 |
2381383 | 2381383 | 2022-04-06 | Columbia | Pennsylvania | 42037 | 15043 | 243 |
2381384 | 2381384 | 2022-04-06 | Crawford | Pennsylvania | 42039 | 19758 | 314 |
2381385 | 2381385 | 2022-04-06 | Cumberland | Pennsylvania | 42041 | 50889 | 888 |
2381386 | 2381386 | 2022-04-06 | Dauphin | Pennsylvania | 42043 | 59039 | 958 |
2381387 | 2381387 | 2022-04-06 | Delaware | Pennsylvania | 42045 | 109938 | 1863 |
2381388 | 2381388 | 2022-04-06 | Elk | Pennsylvania | 42047 | 7130 | 100 |
2381389 | 2381389 | 2022-04-06 | Erie | Pennsylvania | 42049 | 57046 | 752 |
2381390 | 2381390 | 2022-04-06 | Fayette | Pennsylvania | 42051 | 31018 | 665 |
2381391 | 2381391 | 2022-04-06 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2381392 | 2381392 | 2022-04-06 | Franklin | Pennsylvania | 42055 | 40299 | 691 |
2381393 | 2381393 | 2022-04-06 | Fulton | Pennsylvania | 42057 | 4121 | 65 |
2381394 | 2381394 | 2022-04-06 | Greene | Pennsylvania | 42059 | 8450 | 104 |
2381395 | 2381395 | 2022-04-06 | Huntingdon | Pennsylvania | 42061 | 11492 | 244 |
2381396 | 2381396 | 2022-04-06 | Indiana | Pennsylvania | 42063 | 17390 | 353 |
2381397 | 2381397 | 2022-04-06 | Jefferson | Pennsylvania | 42065 | 9003 | 230 |
2381398 | 2381398 | 2022-04-06 | Juniata | Pennsylvania | 42067 | 4765 | 175 |
2381399 | 2381399 | 2022-04-06 | Lackawanna | Pennsylvania | 42069 | 43417 | 758 |
2381400 | 2381400 | 2022-04-06 | Lancaster | Pennsylvania | 42071 | 120864 | 1877 |
2381401 | 2381401 | 2022-04-06 | Lawrence | Pennsylvania | 42073 | 18930 | 412 |
2381402 | 2381402 | 2022-04-06 | Lebanon | Pennsylvania | 42075 | 36536 | 514 |
2381403 | 2381403 | 2022-04-06 | Lehigh | Pennsylvania | 42077 | 89378 | 1234 |
2381404 | 2381404 | 2022-04-06 | Luzerne | Pennsylvania | 42079 | 73429 | 1344 |
2381405 | 2381405 | 2022-04-06 | Lycoming | Pennsylvania | 42081 | 28391 | 512 |
2381406 | 2381406 | 2022-04-06 | McKean | Pennsylvania | 42083 | 8185 | 138 |
2381407 | 2381407 | 2022-04-06 | Mercer | Pennsylvania | 42085 | 23300 | 496 |
2381408 | 2381408 | 2022-04-06 | Mifflin | Pennsylvania | 42087 | 12266 | 276 |
2381409 | 2381409 | 2022-04-06 | Monroe | Pennsylvania | 42089 | 36959 | 517 |
2381410 | 2381410 | 2022-04-06 | Montgomery | Pennsylvania | 42091 | 152404 | 2308 |
2381411 | 2381411 | 2022-04-06 | Montour | Pennsylvania | 42093 | 4516 | 93 |
2381412 | 2381412 | 2022-04-06 | Northampton | Pennsylvania | 42095 | 79486 | 1085 |
2381413 | 2381413 | 2022-04-06 | Northumberland | Pennsylvania | 42097 | 22808 | 529 |
2381414 | 2381414 | 2022-04-06 | Perry | Pennsylvania | 42099 | 8824 | 183 |
2381415 | 2381415 | 2022-04-06 | Philadelphia | Pennsylvania | 42101 | 308578 | 5073 |
2381416 | 2381416 | 2022-04-06 | Pike | Pennsylvania | 42103 | 10146 | 95 |
2381417 | 2381417 | 2022-04-06 | Potter | Pennsylvania | 42105 | 3182 | 91 |
2381418 | 2381418 | 2022-04-06 | Schuylkill | Pennsylvania | 42107 | 34403 | 674 |
2381419 | 2381419 | 2022-04-06 | Snyder | Pennsylvania | 42109 | 8097 | 156 |
2381420 | 2381420 | 2022-04-06 | Somerset | Pennsylvania | 42111 | 18698 | 404 |
2381421 | 2381421 | 2022-04-06 | Sullivan | Pennsylvania | 42113 | 1050 | 36 |
2381422 | 2381422 | 2022-04-06 | Susquehanna | Pennsylvania | 42115 | 7792 | 108 |
2381423 | 2381423 | 2022-04-06 | Tioga | Pennsylvania | 42117 | 8007 | 192 |
2381424 | 2381424 | 2022-04-06 | Union | Pennsylvania | 42119 | 11682 | 153 |
2381425 | 2381425 | 2022-04-06 | Venango | Pennsylvania | 42121 | 11237 | 237 |
2381426 | 2381426 | 2022-04-06 | Warren | Pennsylvania | 42123 | 7329 | 210 |
2381427 | 2381427 | 2022-04-06 | Washington | Pennsylvania | 42125 | 50796 | 651 |
2381428 | 2381428 | 2022-04-06 | Wayne | Pennsylvania | 42127 | 10127 | 169 |
2381429 | 2381429 | 2022-04-06 | Westmoreland | Pennsylvania | 42129 | 79652 | 1367 |
2381430 | 2381430 | 2022-04-06 | Wyoming | Pennsylvania | 42131 | 5072 | 104 |
2381431 | 2381431 | 2022-04-06 | York | Pennsylvania | 42133 | 118518 | 1490 |
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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);