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
- 42045 700
- 42127 700
- 42091 699
- 42089 697
- 42101 696
- 42017 695
- 42095 694
- 42103 694
- 42029 693
- 42041 693
- 42125 693
- 42003 691
- 42077 691
- 42079 691
- 42007 688
- 42069 688
- 42133 688
- 42001 687
- 42011 687
- 42071 687
- 42075 687
- 42129 687
- 42027 686
- 42049 686
- 42055 686
- 42105 686
- 42019 685
- 42093 685
- 42037 684
- 42043 684
- …
county >30
- Delaware 700
- Wayne 700
- Montgomery 699
- Monroe 697
- Philadelphia 696
- Bucks 695
- Northampton 694
- Pike 694
- Chester 693
- Cumberland 693
- Washington 693
- Allegheny 691
- Lehigh 691
- Luzerne 691
- Beaver 688
- Lackawanna 688
- York 688
- Adams 687
- Berks 687
- Lancaster 687
- Lebanon 687
- Westmoreland 687
- Centre 686
- Erie 686
- Franklin 686
- Potter 686
- Butler 685
- Montour 685
- Columbia 684
- Dauphin 684
- …
state 1
- Pennsylvania · 45,802 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2179720 | 2179720 | 2022-02-03 | Blair | Pennsylvania | 42013 | 28085 | 572 |
2179721 | 2179721 | 2022-02-03 | Bradford | Pennsylvania | 42015 | 14246 | 188 |
2179722 | 2179722 | 2022-02-03 | Bucks | Pennsylvania | 42017 | 119264 | 1756 |
2179723 | 2179723 | 2022-02-03 | Butler | Pennsylvania | 42019 | 42891 | 675 |
2179724 | 2179724 | 2022-02-03 | Cambria | Pennsylvania | 42021 | 33038 | 674 |
2179725 | 2179725 | 2022-02-03 | Cameron | Pennsylvania | 42023 | 776 | 18 |
2179726 | 2179726 | 2022-02-03 | Carbon | Pennsylvania | 42025 | 15401 | 263 |
2179727 | 2179727 | 2022-02-03 | Centre | Pennsylvania | 42027 | 33604 | 326 |
2179728 | 2179728 | 2022-02-03 | Chester | Pennsylvania | 42029 | 88057 | 1076 |
2179729 | 2179729 | 2022-02-03 | Clarion | Pennsylvania | 42031 | 7947 | 190 |
2179730 | 2179730 | 2022-02-03 | Clearfield | Pennsylvania | 42033 | 18234 | 300 |
2179731 | 2179731 | 2022-02-03 | Clinton | Pennsylvania | 42035 | 8615 | 117 |
2179732 | 2179732 | 2022-02-03 | Columbia | Pennsylvania | 42037 | 14212 | 217 |
2179733 | 2179733 | 2022-02-03 | Crawford | Pennsylvania | 42039 | 19088 | 289 |
2179734 | 2179734 | 2022-02-03 | Cumberland | Pennsylvania | 42041 | 48789 | 821 |
2179735 | 2179735 | 2022-02-03 | Dauphin | Pennsylvania | 42043 | 57256 | 872 |
2179736 | 2179736 | 2022-02-03 | Delaware | Pennsylvania | 42045 | 106731 | 1740 |
2179737 | 2179737 | 2022-02-03 | Elk | Pennsylvania | 42047 | 6804 | 86 |
2179738 | 2179738 | 2022-02-03 | Erie | Pennsylvania | 42049 | 54901 | 692 |
2179739 | 2179739 | 2022-02-03 | Fayette | Pennsylvania | 42051 | 29144 | 591 |
2179740 | 2179740 | 2022-02-03 | Forest | Pennsylvania | 42053 | 2147 | 34 |
2179741 | 2179741 | 2022-02-03 | Franklin | Pennsylvania | 42055 | 38928 | 629 |
2179742 | 2179742 | 2022-02-03 | Fulton | Pennsylvania | 42057 | 3904 | 59 |
2179743 | 2179743 | 2022-02-03 | Greene | Pennsylvania | 42059 | 7952 | 92 |
2179744 | 2179744 | 2022-02-03 | Huntingdon | Pennsylvania | 42061 | 10941 | 230 |
2179745 | 2179745 | 2022-02-03 | Indiana | Pennsylvania | 42063 | 16409 | 326 |
2179746 | 2179746 | 2022-02-03 | Jefferson | Pennsylvania | 42065 | 8490 | 205 |
2179747 | 2179747 | 2022-02-03 | Juniata | Pennsylvania | 42067 | 4553 | 168 |
2179748 | 2179748 | 2022-02-03 | Lackawanna | Pennsylvania | 42069 | 40986 | 677 |
2179749 | 2179749 | 2022-02-03 | Lancaster | Pennsylvania | 42071 | 117315 | 1755 |
2179750 | 2179750 | 2022-02-03 | Lawrence | Pennsylvania | 42073 | 18339 | 380 |
2179751 | 2179751 | 2022-02-03 | Lebanon | Pennsylvania | 42075 | 35587 | 475 |
2179752 | 2179752 | 2022-02-03 | Lehigh | Pennsylvania | 42077 | 87337 | 1177 |
2179753 | 2179753 | 2022-02-03 | Luzerne | Pennsylvania | 42079 | 70662 | 1220 |
2179754 | 2179754 | 2022-02-03 | Lycoming | Pennsylvania | 42081 | 27215 | 484 |
2179755 | 2179755 | 2022-02-03 | McKean | Pennsylvania | 42083 | 7744 | 127 |
2179756 | 2179756 | 2022-02-03 | Mercer | Pennsylvania | 42085 | 22681 | 465 |
2179757 | 2179757 | 2022-02-03 | Mifflin | Pennsylvania | 42087 | 11655 | 261 |
2179758 | 2179758 | 2022-02-03 | Monroe | Pennsylvania | 42089 | 35859 | 476 |
2179759 | 2179759 | 2022-02-03 | Montgomery | Pennsylvania | 42091 | 145950 | 2176 |
2179760 | 2179760 | 2022-02-03 | Montour | Pennsylvania | 42093 | 4283 | 85 |
2179761 | 2179761 | 2022-02-03 | Northampton | Pennsylvania | 42095 | 77337 | 1012 |
2179762 | 2179762 | 2022-02-03 | Northumberland | Pennsylvania | 42097 | 21887 | 498 |
2179763 | 2179763 | 2022-02-03 | Perry | Pennsylvania | 42099 | 8491 | 172 |
2179764 | 2179764 | 2022-02-03 | Philadelphia | Pennsylvania | 42101 | 297384 | 4746 |
2179765 | 2179765 | 2022-02-03 | Pike | Pennsylvania | 42103 | 9473 | 86 |
2179766 | 2179766 | 2022-02-03 | Potter | Pennsylvania | 42105 | 2995 | 86 |
2179767 | 2179767 | 2022-02-03 | Schuylkill | Pennsylvania | 42107 | 33137 | 632 |
2179768 | 2179768 | 2022-02-03 | Snyder | Pennsylvania | 42109 | 7782 | 146 |
2179769 | 2179769 | 2022-02-03 | Somerset | Pennsylvania | 42111 | 17951 | 378 |
2179770 | 2179770 | 2022-02-03 | Sullivan | Pennsylvania | 42113 | 1019 | 32 |
2179771 | 2179771 | 2022-02-03 | Susquehanna | Pennsylvania | 42115 | 7354 | 101 |
2179772 | 2179772 | 2022-02-03 | Tioga | Pennsylvania | 42117 | 7564 | 185 |
2179773 | 2179773 | 2022-02-03 | Union | Pennsylvania | 42119 | 11128 | 139 |
2179774 | 2179774 | 2022-02-03 | Venango | Pennsylvania | 42121 | 10868 | 222 |
2179775 | 2179775 | 2022-02-03 | Warren | Pennsylvania | 42123 | 6944 | 200 |
2179776 | 2179776 | 2022-02-03 | Washington | Pennsylvania | 42125 | 48761 | 588 |
2179777 | 2179777 | 2022-02-03 | Wayne | Pennsylvania | 42127 | 9632 | 154 |
2179778 | 2179778 | 2022-02-03 | Westmoreland | Pennsylvania | 42129 | 76320 | 1265 |
2179779 | 2179779 | 2022-02-03 | Wyoming | Pennsylvania | 42131 | 4826 | 96 |
2179780 | 2179780 | 2022-02-03 | York | Pennsylvania | 42133 | 114771 | 1388 |
2176463 | 2176463 | 2022-02-02 | Adams | Pennsylvania | 42001 | 23816 | 329 |
2176464 | 2176464 | 2022-02-02 | Allegheny | Pennsylvania | 42003 | 252496 | 3019 |
2176465 | 2176465 | 2022-02-02 | Armstrong | Pennsylvania | 42005 | 14652 | 303 |
2176466 | 2176466 | 2022-02-02 | Beaver | Pennsylvania | 42007 | 38054 | 676 |
2176467 | 2176467 | 2022-02-02 | Bedford | Pennsylvania | 42009 | 10437 | 251 |
2176468 | 2176468 | 2022-02-02 | Berks | Pennsylvania | 42011 | 99421 | 1500 |
2176469 | 2176469 | 2022-02-02 | Blair | Pennsylvania | 42013 | 27987 | 572 |
2176470 | 2176470 | 2022-02-02 | Bradford | Pennsylvania | 42015 | 14173 | 187 |
2176471 | 2176471 | 2022-02-02 | Bucks | Pennsylvania | 42017 | 119011 | 1751 |
2176472 | 2176472 | 2022-02-02 | Butler | Pennsylvania | 42019 | 42745 | 673 |
2176473 | 2176473 | 2022-02-02 | Cambria | Pennsylvania | 42021 | 32915 | 672 |
2176474 | 2176474 | 2022-02-02 | Cameron | Pennsylvania | 42023 | 773 | 18 |
2176475 | 2176475 | 2022-02-02 | Carbon | Pennsylvania | 42025 | 15364 | 263 |
2176476 | 2176476 | 2022-02-02 | Centre | Pennsylvania | 42027 | 33516 | 324 |
2176477 | 2176477 | 2022-02-02 | Chester | Pennsylvania | 42029 | 87863 | 1073 |
2176478 | 2176478 | 2022-02-02 | Clarion | Pennsylvania | 42031 | 7915 | 190 |
2176479 | 2176479 | 2022-02-02 | Clearfield | Pennsylvania | 42033 | 18135 | 300 |
2176480 | 2176480 | 2022-02-02 | Clinton | Pennsylvania | 42035 | 8577 | 117 |
2176481 | 2176481 | 2022-02-02 | Columbia | Pennsylvania | 42037 | 14136 | 216 |
2176482 | 2176482 | 2022-02-02 | Crawford | Pennsylvania | 42039 | 19036 | 285 |
2176483 | 2176483 | 2022-02-02 | Cumberland | Pennsylvania | 42041 | 48618 | 817 |
2176484 | 2176484 | 2022-02-02 | Dauphin | Pennsylvania | 42043 | 57092 | 870 |
2176485 | 2176485 | 2022-02-02 | Delaware | Pennsylvania | 42045 | 106549 | 1729 |
2176486 | 2176486 | 2022-02-02 | Elk | Pennsylvania | 42047 | 6774 | 85 |
2176487 | 2176487 | 2022-02-02 | Erie | Pennsylvania | 42049 | 54788 | 688 |
2176488 | 2176488 | 2022-02-02 | Fayette | Pennsylvania | 42051 | 28982 | 590 |
2176489 | 2176489 | 2022-02-02 | Forest | Pennsylvania | 42053 | 2147 | 34 |
2176490 | 2176490 | 2022-02-02 | Franklin | Pennsylvania | 42055 | 38837 | 627 |
2176491 | 2176491 | 2022-02-02 | Fulton | Pennsylvania | 42057 | 3895 | 59 |
2176492 | 2176492 | 2022-02-02 | Greene | Pennsylvania | 42059 | 7917 | 92 |
2176493 | 2176493 | 2022-02-02 | Huntingdon | Pennsylvania | 42061 | 10886 | 229 |
2176494 | 2176494 | 2022-02-02 | Indiana | Pennsylvania | 42063 | 16318 | 326 |
2176495 | 2176495 | 2022-02-02 | Jefferson | Pennsylvania | 42065 | 8439 | 205 |
2176496 | 2176496 | 2022-02-02 | Juniata | Pennsylvania | 42067 | 4536 | 167 |
2176497 | 2176497 | 2022-02-02 | Lackawanna | Pennsylvania | 42069 | 40838 | 674 |
2176498 | 2176498 | 2022-02-02 | Lancaster | Pennsylvania | 42071 | 117032 | 1746 |
2176499 | 2176499 | 2022-02-02 | Lawrence | Pennsylvania | 42073 | 18274 | 380 |
2176500 | 2176500 | 2022-02-02 | Lebanon | Pennsylvania | 42075 | 35517 | 472 |
2176501 | 2176501 | 2022-02-02 | Lehigh | Pennsylvania | 42077 | 87174 | 1170 |
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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);