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 2022-01-30 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
2166703 | 2166703 | 2022-01-30 | Adams | Pennsylvania | 42001 | 23605 | 323 |
2166704 | 2166704 | 2022-01-30 | Allegheny | Pennsylvania | 42003 | 250741 | 2976 |
2166705 | 2166705 | 2022-01-30 | Armstrong | Pennsylvania | 42005 | 14559 | 299 |
2166706 | 2166706 | 2022-01-30 | Beaver | Pennsylvania | 42007 | 37777 | 673 |
2166707 | 2166707 | 2022-01-30 | Bedford | Pennsylvania | 42009 | 10385 | 249 |
2166708 | 2166708 | 2022-01-30 | Berks | Pennsylvania | 42011 | 98904 | 1486 |
2166709 | 2166709 | 2022-01-30 | Blair | Pennsylvania | 42013 | 27753 | 563 |
2166710 | 2166710 | 2022-01-30 | Bradford | Pennsylvania | 42015 | 14027 | 185 |
2166711 | 2166711 | 2022-01-30 | Bucks | Pennsylvania | 42017 | 118387 | 1733 |
2166712 | 2166712 | 2022-01-30 | Butler | Pennsylvania | 42019 | 42358 | 670 |
2166713 | 2166713 | 2022-01-30 | Cambria | Pennsylvania | 42021 | 32593 | 666 |
2166714 | 2166714 | 2022-01-30 | Cameron | Pennsylvania | 42023 | 763 | 18 |
2166715 | 2166715 | 2022-01-30 | Carbon | Pennsylvania | 42025 | 15278 | 259 |
2166716 | 2166716 | 2022-01-30 | Centre | Pennsylvania | 42027 | 33273 | 321 |
2166717 | 2166717 | 2022-01-30 | Chester | Pennsylvania | 42029 | 87343 | 1058 |
2166718 | 2166718 | 2022-01-30 | Clarion | Pennsylvania | 42031 | 7838 | 188 |
2166719 | 2166719 | 2022-01-30 | Clearfield | Pennsylvania | 42033 | 17933 | 296 |
2166720 | 2166720 | 2022-01-30 | Clinton | Pennsylvania | 42035 | 8486 | 117 |
2166721 | 2166721 | 2022-01-30 | Columbia | Pennsylvania | 42037 | 13942 | 214 |
2166722 | 2166722 | 2022-01-30 | Crawford | Pennsylvania | 42039 | 18894 | 278 |
2166723 | 2166723 | 2022-01-30 | Cumberland | Pennsylvania | 42041 | 48198 | 804 |
2166724 | 2166724 | 2022-01-30 | Dauphin | Pennsylvania | 42043 | 56645 | 863 |
2166725 | 2166725 | 2022-01-30 | Delaware | Pennsylvania | 42045 | 106039 | 1710 |
2166726 | 2166726 | 2022-01-30 | Elk | Pennsylvania | 42047 | 6705 | 84 |
2166727 | 2166727 | 2022-01-30 | Erie | Pennsylvania | 42049 | 54449 | 681 |
2166728 | 2166728 | 2022-01-30 | Fayette | Pennsylvania | 42051 | 28710 | 586 |
2166729 | 2166729 | 2022-01-30 | Forest | Pennsylvania | 42053 | 2124 | 34 |
2166730 | 2166730 | 2022-01-30 | Franklin | Pennsylvania | 42055 | 38400 | 617 |
2166731 | 2166731 | 2022-01-30 | Fulton | Pennsylvania | 42057 | 3860 | 58 |
2166732 | 2166732 | 2022-01-30 | Greene | Pennsylvania | 42059 | 7847 | 92 |
2166733 | 2166733 | 2022-01-30 | Huntingdon | Pennsylvania | 42061 | 10741 | 224 |
2166734 | 2166734 | 2022-01-30 | Indiana | Pennsylvania | 42063 | 16158 | 324 |
2166735 | 2166735 | 2022-01-30 | Jefferson | Pennsylvania | 42065 | 8362 | 204 |
2166736 | 2166736 | 2022-01-30 | Juniata | Pennsylvania | 42067 | 4499 | 165 |
2166737 | 2166737 | 2022-01-30 | Lackawanna | Pennsylvania | 42069 | 40455 | 664 |
2166738 | 2166738 | 2022-01-30 | Lancaster | Pennsylvania | 42071 | 116228 | 1722 |
2166739 | 2166739 | 2022-01-30 | Lawrence | Pennsylvania | 42073 | 18159 | 377 |
2166740 | 2166740 | 2022-01-30 | Lebanon | Pennsylvania | 42075 | 35317 | 461 |
2166741 | 2166741 | 2022-01-30 | Lehigh | Pennsylvania | 42077 | 86820 | 1161 |
2166742 | 2166742 | 2022-01-30 | Luzerne | Pennsylvania | 42079 | 69965 | 1196 |
2166743 | 2166743 | 2022-01-30 | Lycoming | Pennsylvania | 42081 | 26870 | 481 |
2166744 | 2166744 | 2022-01-30 | McKean | Pennsylvania | 42083 | 7674 | 124 |
2166745 | 2166745 | 2022-01-30 | Mercer | Pennsylvania | 42085 | 22494 | 460 |
2166746 | 2166746 | 2022-01-30 | Mifflin | Pennsylvania | 42087 | 11437 | 255 |
2166747 | 2166747 | 2022-01-30 | Monroe | Pennsylvania | 42089 | 35583 | 468 |
2166748 | 2166748 | 2022-01-30 | Montgomery | Pennsylvania | 42091 | 144767 | 2149 |
2166749 | 2166749 | 2022-01-30 | Montour | Pennsylvania | 42093 | 4232 | 84 |
2166750 | 2166750 | 2022-01-30 | Northampton | Pennsylvania | 42095 | 76847 | 1003 |
2166751 | 2166751 | 2022-01-30 | Northumberland | Pennsylvania | 42097 | 21588 | 495 |
2166752 | 2166752 | 2022-01-30 | Perry | Pennsylvania | 42099 | 8386 | 167 |
2166753 | 2166753 | 2022-01-30 | Philadelphia | Pennsylvania | 42101 | 295837 | 4663 |
2166754 | 2166754 | 2022-01-30 | Pike | Pennsylvania | 42103 | 9376 | 84 |
2166755 | 2166755 | 2022-01-30 | Potter | Pennsylvania | 42105 | 2956 | 86 |
2166756 | 2166756 | 2022-01-30 | Schuylkill | Pennsylvania | 42107 | 32803 | 628 |
2166757 | 2166757 | 2022-01-30 | Snyder | Pennsylvania | 42109 | 7667 | 144 |
2166758 | 2166758 | 2022-01-30 | Somerset | Pennsylvania | 42111 | 17718 | 370 |
2166759 | 2166759 | 2022-01-30 | Sullivan | Pennsylvania | 42113 | 1001 | 32 |
2166760 | 2166760 | 2022-01-30 | Susquehanna | Pennsylvania | 42115 | 7295 | 100 |
2166761 | 2166761 | 2022-01-30 | Tioga | Pennsylvania | 42117 | 7490 | 184 |
2166762 | 2166762 | 2022-01-30 | Union | Pennsylvania | 42119 | 11015 | 137 |
2166763 | 2166763 | 2022-01-30 | Venango | Pennsylvania | 42121 | 10771 | 218 |
2166764 | 2166764 | 2022-01-30 | Warren | Pennsylvania | 42123 | 6831 | 195 |
2166765 | 2166765 | 2022-01-30 | Washington | Pennsylvania | 42125 | 48151 | 582 |
2166766 | 2166766 | 2022-01-30 | Wayne | Pennsylvania | 42127 | 9542 | 154 |
2166767 | 2166767 | 2022-01-30 | Westmoreland | Pennsylvania | 42129 | 75350 | 1239 |
2166768 | 2166768 | 2022-01-30 | Wyoming | Pennsylvania | 42131 | 4766 | 96 |
2166769 | 2166769 | 2022-01-30 | York | Pennsylvania | 42133 | 113620 | 1366 |
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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);