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 362
- 42045 361
- 42091 361
- 42089 359
- 42101 358
- 42017 356
- 42095 356
- 42103 356
- 42125 355
- 42029 354
- 42041 354
- 42003 353
- 42077 353
- 42079 353
- 42007 350
- 42069 350
- 42133 350
- 42001 349
- 42011 349
- 42071 349
- 42075 349
- 42129 349
- 42105 348
- 42027 347
- 42049 347
- 42055 347
- 42093 347
- 42019 346
- 42085 346
- 42107 346
- …
county >30
- Wayne 362
- Delaware 361
- Montgomery 361
- Monroe 359
- Philadelphia 358
- Bucks 356
- Northampton 356
- Pike 356
- Washington 355
- Chester 354
- Cumberland 354
- Allegheny 353
- Lehigh 353
- Luzerne 353
- Beaver 350
- Lackawanna 350
- York 350
- Adams 349
- Berks 349
- Lancaster 349
- Lebanon 349
- Westmoreland 349
- Potter 348
- Centre 347
- Erie 347
- Franklin 347
- Montour 347
- Butler 346
- Mercer 346
- Schuylkill 346
- …
state 1
- Pennsylvania · 23,129 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1081765 | 1081765 | 2021-03-02 | Juniata | Pennsylvania | 42067 | 1820 | 80 |
1081766 | 1081766 | 2021-03-02 | Lackawanna | Pennsylvania | 42069 | 14009 | 420 |
1081767 | 1081767 | 2021-03-02 | Lancaster | Pennsylvania | 42071 | 43809 | 1034 |
1081768 | 1081768 | 2021-03-02 | Lawrence | Pennsylvania | 42073 | 6056 | 184 |
1081769 | 1081769 | 2021-03-02 | Lebanon | Pennsylvania | 42075 | 12869 | 259 |
1081770 | 1081770 | 2021-03-02 | Lehigh | Pennsylvania | 42077 | 30897 | 768 |
1081771 | 1081771 | 2021-03-02 | Luzerne | Pennsylvania | 42079 | 24973 | 730 |
1081772 | 1081772 | 2021-03-02 | Lycoming | Pennsylvania | 42081 | 9355 | 246 |
1081773 | 1081773 | 2021-03-02 | McKean | Pennsylvania | 42083 | 3046 | 62 |
1081774 | 1081774 | 2021-03-02 | Mercer | Pennsylvania | 42085 | 8072 | 240 |
1081775 | 1081775 | 2021-03-02 | Mifflin | Pennsylvania | 42087 | 4590 | 167 |
1081776 | 1081776 | 2021-03-02 | Monroe | Pennsylvania | 42089 | 9732 | 266 |
1081777 | 1081777 | 2021-03-02 | Montgomery | Pennsylvania | 42091 | 54217 | 1554 |
1081778 | 1081778 | 2021-03-02 | Montour | Pennsylvania | 42093 | 1782 | 60 |
1081779 | 1081779 | 2021-03-02 | Northampton | Pennsylvania | 42095 | 26969 | 648 |
1081780 | 1081780 | 2021-03-02 | Northumberland | Pennsylvania | 42097 | 7988 | 324 |
1081781 | 1081781 | 2021-03-02 | Perry | Pennsylvania | 42099 | 2904 | 84 |
1081782 | 1081782 | 2021-03-02 | Philadelphia | Pennsylvania | 42101 | 118906 | 3147 |
1081783 | 1081783 | 2021-03-02 | Pike | Pennsylvania | 42103 | 2535 | 48 |
1081784 | 1081784 | 2021-03-02 | Potter | Pennsylvania | 42105 | 941 | 21 |
1081785 | 1081785 | 2021-03-02 | Schuylkill | Pennsylvania | 42107 | 12070 | 369 |
1081786 | 1081786 | 2021-03-02 | Snyder | Pennsylvania | 42109 | 3042 | 80 |
1081787 | 1081787 | 2021-03-02 | Somerset | Pennsylvania | 42111 | 6690 | 185 |
1081788 | 1081788 | 2021-03-02 | Sullivan | Pennsylvania | 42113 | 310 | 17 |
1081789 | 1081789 | 2021-03-02 | Susquehanna | Pennsylvania | 42115 | 1711 | 53 |
1081790 | 1081790 | 2021-03-02 | Tioga | Pennsylvania | 42117 | 2445 | 94 |
1081791 | 1081791 | 2021-03-02 | Union | Pennsylvania | 42119 | 5261 | 81 |
1081792 | 1081792 | 2021-03-02 | Venango | Pennsylvania | 42121 | 3369 | 83 |
1081793 | 1081793 | 2021-03-02 | Warren | Pennsylvania | 42123 | 2186 | 98 |
1081794 | 1081794 | 2021-03-02 | Washington | Pennsylvania | 42125 | 13766 | 258 |
1081795 | 1081795 | 2021-03-02 | Wayne | Pennsylvania | 42127 | 3068 | 66 |
1081796 | 1081796 | 2021-03-02 | Westmoreland | Pennsylvania | 42129 | 26864 | 673 |
1081797 | 1081797 | 2021-03-02 | Wyoming | Pennsylvania | 42131 | 1170 | 41 |
1081798 | 1081798 | 2021-03-02 | York | Pennsylvania | 42133 | 35938 | 725 |
1078486 | 1078486 | 2021-03-01 | Adams | Pennsylvania | 42001 | 7284 | 150 |
1078487 | 1078487 | 2021-03-01 | Allegheny | Pennsylvania | 42003 | 76853 | 1720 |
1078488 | 1078488 | 2021-03-01 | Armstrong | Pennsylvania | 42005 | 4909 | 116 |
1078489 | 1078489 | 2021-03-01 | Beaver | Pennsylvania | 42007 | 12266 | 349 |
1078490 | 1078490 | 2021-03-01 | Bedford | Pennsylvania | 42009 | 3807 | 129 |
1078491 | 1078491 | 2021-03-01 | Berks | Pennsylvania | 42011 | 35699 | 900 |
1078492 | 1078492 | 2021-03-01 | Blair | Pennsylvania | 42013 | 10615 | 298 |
1078493 | 1078493 | 2021-03-01 | Bradford | Pennsylvania | 42015 | 4395 | 78 |
1078494 | 1078494 | 2021-03-01 | Bucks | Pennsylvania | 42017 | 45176 | 1132 |
1078495 | 1078495 | 2021-03-01 | Butler | Pennsylvania | 42019 | 13939 | 369 |
1078496 | 1078496 | 2021-03-01 | Cambria | Pennsylvania | 42021 | 11689 | 394 |
1078497 | 1078497 | 2021-03-01 | Cameron | Pennsylvania | 42023 | 261 | 7 |
1078498 | 1078498 | 2021-03-01 | Carbon | Pennsylvania | 42025 | 4885 | 151 |
1078499 | 1078499 | 2021-03-01 | Centre | Pennsylvania | 42027 | 12944 | 209 |
1078500 | 1078500 | 2021-03-01 | Chester | Pennsylvania | 42029 | 30687 | 726 |
1078501 | 1078501 | 2021-03-01 | Clarion | Pennsylvania | 42031 | 2695 | 83 |
1078502 | 1078502 | 2021-03-01 | Clearfield | Pennsylvania | 42033 | 6284 | 114 |
1078503 | 1078503 | 2021-03-01 | Clinton | Pennsylvania | 42035 | 2803 | 55 |
1078504 | 1078504 | 2021-03-01 | Columbia | Pennsylvania | 42037 | 4611 | 123 |
1078505 | 1078505 | 2021-03-01 | Crawford | Pennsylvania | 42039 | 6374 | 136 |
1078506 | 1078506 | 2021-03-01 | Cumberland | Pennsylvania | 42041 | 16538 | 482 |
1078507 | 1078507 | 2021-03-01 | Dauphin | Pennsylvania | 42043 | 20585 | 493 |
1078508 | 1078508 | 2021-03-01 | Delaware | Pennsylvania | 42045 | 41033 | 1276 |
1078509 | 1078509 | 2021-03-01 | Elk | Pennsylvania | 42047 | 2332 | 35 |
1078510 | 1078510 | 2021-03-01 | Erie | Pennsylvania | 42049 | 17350 | 378 |
1078511 | 1078511 | 2021-03-01 | Fayette | Pennsylvania | 42051 | 10478 | 266 |
1078512 | 1078512 | 2021-03-01 | Forest | Pennsylvania | 42053 | 1380 | 21 |
1078513 | 1078513 | 2021-03-01 | Franklin | Pennsylvania | 42055 | 12520 | 324 |
1078514 | 1078514 | 2021-03-01 | Fulton | Pennsylvania | 42057 | 1131 | 14 |
1078515 | 1078515 | 2021-03-01 | Greene | Pennsylvania | 42059 | 2674 | 33 |
1078516 | 1078516 | 2021-03-01 | Huntingdon | Pennsylvania | 42061 | 4208 | 124 |
1078517 | 1078517 | 2021-03-01 | Indiana | Pennsylvania | 42063 | 5094 | 159 |
1078518 | 1078518 | 2021-03-01 | Jefferson | Pennsylvania | 42065 | 2786 | 90 |
1078519 | 1078519 | 2021-03-01 | Juniata | Pennsylvania | 42067 | 1819 | 80 |
1078520 | 1078520 | 2021-03-01 | Lackawanna | Pennsylvania | 42069 | 13964 | 419 |
1078521 | 1078521 | 2021-03-01 | Lancaster | Pennsylvania | 42071 | 43705 | 1033 |
1078522 | 1078522 | 2021-03-01 | Lawrence | Pennsylvania | 42073 | 6038 | 183 |
1078523 | 1078523 | 2021-03-01 | Lebanon | Pennsylvania | 42075 | 12841 | 259 |
1078524 | 1078524 | 2021-03-01 | Lehigh | Pennsylvania | 42077 | 30811 | 761 |
1078525 | 1078525 | 2021-03-01 | Luzerne | Pennsylvania | 42079 | 24928 | 730 |
1078526 | 1078526 | 2021-03-01 | Lycoming | Pennsylvania | 42081 | 9315 | 246 |
1078527 | 1078527 | 2021-03-01 | McKean | Pennsylvania | 42083 | 3043 | 62 |
1078528 | 1078528 | 2021-03-01 | Mercer | Pennsylvania | 42085 | 8050 | 240 |
1078529 | 1078529 | 2021-03-01 | Mifflin | Pennsylvania | 42087 | 4586 | 167 |
1078530 | 1078530 | 2021-03-01 | Monroe | Pennsylvania | 42089 | 9679 | 266 |
1078531 | 1078531 | 2021-03-01 | Montgomery | Pennsylvania | 42091 | 54030 | 1548 |
1078532 | 1078532 | 2021-03-01 | Montour | Pennsylvania | 42093 | 1779 | 60 |
1078533 | 1078533 | 2021-03-01 | Northampton | Pennsylvania | 42095 | 26855 | 644 |
1078534 | 1078534 | 2021-03-01 | Northumberland | Pennsylvania | 42097 | 7979 | 324 |
1078535 | 1078535 | 2021-03-01 | Perry | Pennsylvania | 42099 | 2896 | 84 |
1078536 | 1078536 | 2021-03-01 | Philadelphia | Pennsylvania | 42101 | 118594 | 3139 |
1078537 | 1078537 | 2021-03-01 | Pike | Pennsylvania | 42103 | 2527 | 48 |
1078538 | 1078538 | 2021-03-01 | Potter | Pennsylvania | 42105 | 937 | 21 |
1078539 | 1078539 | 2021-03-01 | Schuylkill | Pennsylvania | 42107 | 12042 | 368 |
1078540 | 1078540 | 2021-03-01 | Snyder | Pennsylvania | 42109 | 3031 | 80 |
1078541 | 1078541 | 2021-03-01 | Somerset | Pennsylvania | 42111 | 6688 | 185 |
1078542 | 1078542 | 2021-03-01 | Sullivan | Pennsylvania | 42113 | 309 | 16 |
1078543 | 1078543 | 2021-03-01 | Susquehanna | Pennsylvania | 42115 | 1702 | 53 |
1078544 | 1078544 | 2021-03-01 | Tioga | Pennsylvania | 42117 | 2441 | 94 |
1078545 | 1078545 | 2021-03-01 | Union | Pennsylvania | 42119 | 5264 | 81 |
1078546 | 1078546 | 2021-03-01 | Venango | Pennsylvania | 42121 | 3359 | 83 |
1078547 | 1078547 | 2021-03-01 | Warren | Pennsylvania | 42123 | 2166 | 98 |
1078548 | 1078548 | 2021-03-01 | Washington | Pennsylvania | 42125 | 13727 | 258 |
1078549 | 1078549 | 2021-03-01 | Wayne | Pennsylvania | 42127 | 3056 | 66 |
1078550 | 1078550 | 2021-03-01 | Westmoreland | Pennsylvania | 42129 | 26817 | 672 |
1078551 | 1078551 | 2021-03-01 | Wyoming | Pennsylvania | 42131 | 1167 | 41 |
Advanced export
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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);