ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
52,441 rows where state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
- 42127 798
- 42045 797
- 42091 797
- 42089 795
- 42101 794
- 42017 792
- 42095 792
- 42103 792
- 42125 791
- 42029 790
- 42041 790
- 42003 789
- 42077 789
- 42079 789
- 42007 786
- 42069 786
- 42133 786
- 42001 785
- 42011 785
- 42071 785
- 42075 785
- 42129 785
- 42105 784
- 42027 783
- 42049 783
- 42055 783
- 42093 783
- 42019 782
- 42085 782
- 42107 782
- …
county >30
- Wayne 798
- Delaware 797
- Montgomery 797
- Monroe 795
- Philadelphia 794
- Bucks 792
- Northampton 792
- Pike 792
- Washington 791
- Chester 790
- Cumberland 790
- Allegheny 789
- Lehigh 789
- Luzerne 789
- Beaver 786
- Lackawanna 786
- York 786
- Adams 785
- Berks 785
- Lancaster 785
- Lebanon 785
- Westmoreland 785
- Potter 784
- Centre 783
- Erie 783
- Franklin 783
- Montour 783
- Butler 782
- Mercer 782
- Schuylkill 782
- …
state 1
- Pennsylvania · 52,341 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2498622 | 2498622 | 2022-05-12 | Juniata | Pennsylvania | 42067 | 4797 | 176 |
2498623 | 2498623 | 2022-05-12 | Lackawanna | Pennsylvania | 42069 | 45137 | 776 |
2498624 | 2498624 | 2022-05-12 | Lancaster | Pennsylvania | 42071 | 122794 | 1890 |
2498625 | 2498625 | 2022-05-12 | Lawrence | Pennsylvania | 42073 | 19109 | 418 |
2498626 | 2498626 | 2022-05-12 | Lebanon | Pennsylvania | 42075 | 37011 | 518 |
2498627 | 2498627 | 2022-05-12 | Lehigh | Pennsylvania | 42077 | 91539 | 1246 |
2498628 | 2498628 | 2022-05-12 | Luzerne | Pennsylvania | 42079 | 75379 | 1366 |
2498629 | 2498629 | 2022-05-12 | Lycoming | Pennsylvania | 42081 | 28894 | 522 |
2498630 | 2498630 | 2022-05-12 | McKean | Pennsylvania | 42083 | 8298 | 141 |
2498631 | 2498631 | 2022-05-12 | Mercer | Pennsylvania | 42085 | 23612 | 498 |
2498632 | 2498632 | 2022-05-12 | Mifflin | Pennsylvania | 42087 | 12348 | 276 |
2498633 | 2498633 | 2022-05-12 | Monroe | Pennsylvania | 42089 | 37881 | 524 |
2498634 | 2498634 | 2022-05-12 | Montgomery | Pennsylvania | 42091 | 158154 | 2329 |
2498635 | 2498635 | 2022-05-12 | Montour | Pennsylvania | 42093 | 4637 | 93 |
2498636 | 2498636 | 2022-05-12 | Northampton | Pennsylvania | 42095 | 81732 | 1097 |
2498637 | 2498637 | 2022-05-12 | Northumberland | Pennsylvania | 42097 | 23172 | 534 |
2498638 | 2498638 | 2022-05-12 | Perry | Pennsylvania | 42099 | 8873 | 185 |
2498639 | 2498639 | 2022-05-12 | Philadelphia | Pennsylvania | 42101 | 317808 | 5110 |
2498640 | 2498640 | 2022-05-12 | Pike | Pennsylvania | 42103 | 10557 | 98 |
2498641 | 2498641 | 2022-05-12 | Potter | Pennsylvania | 42105 | 3256 | 92 |
2498642 | 2498642 | 2022-05-12 | Schuylkill | Pennsylvania | 42107 | 34853 | 675 |
2498643 | 2498643 | 2022-05-12 | Snyder | Pennsylvania | 42109 | 8149 | 158 |
2498644 | 2498644 | 2022-05-12 | Somerset | Pennsylvania | 42111 | 18829 | 408 |
2498645 | 2498645 | 2022-05-12 | Sullivan | Pennsylvania | 42113 | 1092 | 36 |
2498646 | 2498646 | 2022-05-12 | Susquehanna | Pennsylvania | 42115 | 8188 | 110 |
2498647 | 2498647 | 2022-05-12 | Tioga | Pennsylvania | 42117 | 8270 | 193 |
2498648 | 2498648 | 2022-05-12 | Union | Pennsylvania | 42119 | 11842 | 154 |
2498649 | 2498649 | 2022-05-12 | Venango | Pennsylvania | 42121 | 11406 | 241 |
2498650 | 2498650 | 2022-05-12 | Warren | Pennsylvania | 42123 | 7506 | 212 |
2498651 | 2498651 | 2022-05-12 | Washington | Pennsylvania | 42125 | 51747 | 654 |
2498652 | 2498652 | 2022-05-12 | Wayne | Pennsylvania | 42127 | 10460 | 172 |
2498653 | 2498653 | 2022-05-12 | Westmoreland | Pennsylvania | 42129 | 81006 | 1378 |
2498654 | 2498654 | 2022-05-12 | Wyoming | Pennsylvania | 42131 | 5257 | 106 |
2498655 | 2498655 | 2022-05-12 | York | Pennsylvania | 42133 | 120372 | 1502 |
2495331 | 2495331 | 2022-05-11 | Adams | Pennsylvania | 42001 | 25114 | 364 |
2495332 | 2495332 | 2022-05-11 | Allegheny | Pennsylvania | 42003 | 271427 | 3323 |
2495333 | 2495333 | 2022-05-11 | Armstrong | Pennsylvania | 42005 | 15397 | 343 |
2495334 | 2495334 | 2022-05-11 | Beaver | Pennsylvania | 42007 | 40744 | 745 |
2495335 | 2495335 | 2022-05-11 | Bedford | Pennsylvania | 42009 | 11044 | 275 |
2495336 | 2495336 | 2022-05-11 | Berks | Pennsylvania | 42011 | 103652 | 1595 |
2495337 | 2495337 | 2022-05-11 | Blair | Pennsylvania | 42013 | 29924 | 616 |
2495338 | 2495338 | 2022-05-11 | Bradford | Pennsylvania | 42015 | 16219 | 207 |
2495339 | 2495339 | 2022-05-11 | Bucks | Pennsylvania | 42017 | 126504 | 1905 |
2495340 | 2495340 | 2022-05-11 | Butler | Pennsylvania | 42019 | 45173 | 743 |
2495341 | 2495341 | 2022-05-11 | Cambria | Pennsylvania | 42021 | 34936 | 732 |
2495342 | 2495342 | 2022-05-11 | Cameron | Pennsylvania | 42023 | 822 | 21 |
2495343 | 2495343 | 2022-05-11 | Carbon | Pennsylvania | 42025 | 16188 | 294 |
2495344 | 2495344 | 2022-05-11 | Centre | Pennsylvania | 42027 | 36016 | 351 |
2495345 | 2495345 | 2022-05-11 | Chester | Pennsylvania | 42029 | 94968 | 1164 |
2495346 | 2495346 | 2022-05-11 | Clarion | Pennsylvania | 42031 | 8323 | 202 |
2495347 | 2495347 | 2022-05-11 | Clearfield | Pennsylvania | 42033 | 19533 | 348 |
2495348 | 2495348 | 2022-05-11 | Clinton | Pennsylvania | 42035 | 9157 | 127 |
2495349 | 2495349 | 2022-05-11 | Columbia | Pennsylvania | 42037 | 15476 | 246 |
2495350 | 2495350 | 2022-05-11 | Crawford | Pennsylvania | 42039 | 20080 | 320 |
2495351 | 2495351 | 2022-05-11 | Cumberland | Pennsylvania | 42041 | 51754 | 892 |
2495352 | 2495352 | 2022-05-11 | Dauphin | Pennsylvania | 42043 | 59830 | 964 |
2495353 | 2495353 | 2022-05-11 | Delaware | Pennsylvania | 42045 | 113339 | 1875 |
2495354 | 2495354 | 2022-05-11 | Elk | Pennsylvania | 42047 | 7193 | 101 |
2495355 | 2495355 | 2022-05-11 | Erie | Pennsylvania | 42049 | 58218 | 760 |
2495356 | 2495356 | 2022-05-11 | Fayette | Pennsylvania | 42051 | 31332 | 674 |
2495357 | 2495357 | 2022-05-11 | Forest | Pennsylvania | 42053 | 2250 | 35 |
2495358 | 2495358 | 2022-05-11 | Franklin | Pennsylvania | 42055 | 40694 | 695 |
2495359 | 2495359 | 2022-05-11 | Fulton | Pennsylvania | 42057 | 4153 | 65 |
2495360 | 2495360 | 2022-05-11 | Greene | Pennsylvania | 42059 | 8513 | 104 |
2495361 | 2495361 | 2022-05-11 | Huntingdon | Pennsylvania | 42061 | 11594 | 249 |
2495362 | 2495362 | 2022-05-11 | Indiana | Pennsylvania | 42063 | 17690 | 356 |
2495363 | 2495363 | 2022-05-11 | Jefferson | Pennsylvania | 42065 | 9121 | 235 |
2495364 | 2495364 | 2022-05-11 | Juniata | Pennsylvania | 42067 | 4797 | 176 |
2495365 | 2495365 | 2022-05-11 | Lackawanna | Pennsylvania | 42069 | 45137 | 776 |
2495366 | 2495366 | 2022-05-11 | Lancaster | Pennsylvania | 42071 | 122794 | 1890 |
2495367 | 2495367 | 2022-05-11 | Lawrence | Pennsylvania | 42073 | 19109 | 418 |
2495368 | 2495368 | 2022-05-11 | Lebanon | Pennsylvania | 42075 | 37011 | 518 |
2495369 | 2495369 | 2022-05-11 | Lehigh | Pennsylvania | 42077 | 91539 | 1246 |
2495370 | 2495370 | 2022-05-11 | Luzerne | Pennsylvania | 42079 | 75379 | 1366 |
2495371 | 2495371 | 2022-05-11 | Lycoming | Pennsylvania | 42081 | 28894 | 522 |
2495372 | 2495372 | 2022-05-11 | McKean | Pennsylvania | 42083 | 8298 | 141 |
2495373 | 2495373 | 2022-05-11 | Mercer | Pennsylvania | 42085 | 23612 | 498 |
2495374 | 2495374 | 2022-05-11 | Mifflin | Pennsylvania | 42087 | 12348 | 276 |
2495375 | 2495375 | 2022-05-11 | Monroe | Pennsylvania | 42089 | 37881 | 524 |
2495376 | 2495376 | 2022-05-11 | Montgomery | Pennsylvania | 42091 | 158154 | 2329 |
2495377 | 2495377 | 2022-05-11 | Montour | Pennsylvania | 42093 | 4637 | 93 |
2495378 | 2495378 | 2022-05-11 | Northampton | Pennsylvania | 42095 | 81732 | 1097 |
2495379 | 2495379 | 2022-05-11 | Northumberland | Pennsylvania | 42097 | 23172 | 534 |
2495380 | 2495380 | 2022-05-11 | Perry | Pennsylvania | 42099 | 8873 | 185 |
2495381 | 2495381 | 2022-05-11 | Philadelphia | Pennsylvania | 42101 | 317330 | 5110 |
2495382 | 2495382 | 2022-05-11 | Pike | Pennsylvania | 42103 | 10557 | 98 |
2495383 | 2495383 | 2022-05-11 | Potter | Pennsylvania | 42105 | 3256 | 92 |
2495384 | 2495384 | 2022-05-11 | Schuylkill | Pennsylvania | 42107 | 34853 | 675 |
2495385 | 2495385 | 2022-05-11 | Snyder | Pennsylvania | 42109 | 8149 | 158 |
2495386 | 2495386 | 2022-05-11 | Somerset | Pennsylvania | 42111 | 18829 | 408 |
2495387 | 2495387 | 2022-05-11 | Sullivan | Pennsylvania | 42113 | 1092 | 36 |
2495388 | 2495388 | 2022-05-11 | Susquehanna | Pennsylvania | 42115 | 8188 | 110 |
2495389 | 2495389 | 2022-05-11 | Tioga | Pennsylvania | 42117 | 8270 | 193 |
2495390 | 2495390 | 2022-05-11 | Union | Pennsylvania | 42119 | 11842 | 154 |
2495391 | 2495391 | 2022-05-11 | Venango | Pennsylvania | 42121 | 11406 | 241 |
2495392 | 2495392 | 2022-05-11 | Warren | Pennsylvania | 42123 | 7506 | 212 |
2495393 | 2495393 | 2022-05-11 | Washington | Pennsylvania | 42125 | 51747 | 654 |
2495394 | 2495394 | 2022-05-11 | Wayne | Pennsylvania | 42127 | 10460 | 172 |
2495395 | 2495395 | 2022-05-11 | Westmoreland | Pennsylvania | 42129 | 81006 | 1378 |
2495396 | 2495396 | 2022-05-11 | Wyoming | Pennsylvania | 42131 | 5257 | 106 |
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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);