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 2022-03-19 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 |
---|---|---|---|---|---|---|---|
2322807 | 2322807 | 2022-03-19 | Adams | Pennsylvania | 42001 | 24652 | 357 |
2322808 | 2322808 | 2022-03-19 | Allegheny | Pennsylvania | 42003 | 262410 | 3264 |
2322809 | 2322809 | 2022-03-19 | Armstrong | Pennsylvania | 42005 | 15197 | 336 |
2322810 | 2322810 | 2022-03-19 | Beaver | Pennsylvania | 42007 | 40010 | 724 |
2322811 | 2322811 | 2022-03-19 | Bedford | Pennsylvania | 42009 | 10945 | 273 |
2322812 | 2322812 | 2022-03-19 | Berks | Pennsylvania | 42011 | 101958 | 1585 |
2322813 | 2322813 | 2022-03-19 | Blair | Pennsylvania | 42013 | 29564 | 604 |
2322814 | 2322814 | 2022-03-19 | Bradford | Pennsylvania | 42015 | 14985 | 199 |
2322815 | 2322815 | 2022-03-19 | Bucks | Pennsylvania | 42017 | 122528 | 1864 |
2322816 | 2322816 | 2022-03-19 | Butler | Pennsylvania | 42019 | 44289 | 720 |
2322817 | 2322817 | 2022-03-19 | Cambria | Pennsylvania | 42021 | 34463 | 715 |
2322818 | 2322818 | 2022-03-19 | Cameron | Pennsylvania | 42023 | 814 | 19 |
2322819 | 2322819 | 2022-03-19 | Carbon | Pennsylvania | 42025 | 15800 | 288 |
2322820 | 2322820 | 2022-03-19 | Centre | Pennsylvania | 42027 | 34984 | 346 |
2322821 | 2322821 | 2022-03-19 | Chester | Pennsylvania | 42029 | 91136 | 1132 |
2322822 | 2322822 | 2022-03-19 | Clarion | Pennsylvania | 42031 | 8206 | 201 |
2322823 | 2322823 | 2022-03-19 | Clearfield | Pennsylvania | 42033 | 19211 | 336 |
2322824 | 2322824 | 2022-03-19 | Clinton | Pennsylvania | 42035 | 9016 | 124 |
2322825 | 2322825 | 2022-03-19 | Columbia | Pennsylvania | 42037 | 14993 | 242 |
2322826 | 2322826 | 2022-03-19 | Crawford | Pennsylvania | 42039 | 19716 | 311 |
2322827 | 2322827 | 2022-03-19 | Cumberland | Pennsylvania | 42041 | 50752 | 880 |
2322828 | 2322828 | 2022-03-19 | Dauphin | Pennsylvania | 42043 | 58930 | 951 |
2322829 | 2322829 | 2022-03-19 | Delaware | Pennsylvania | 42045 | 109361 | 1850 |
2322830 | 2322830 | 2022-03-19 | Elk | Pennsylvania | 42047 | 7112 | 97 |
2322831 | 2322831 | 2022-03-19 | Erie | Pennsylvania | 42049 | 56854 | 745 |
2322832 | 2322832 | 2022-03-19 | Fayette | Pennsylvania | 42051 | 30912 | 662 |
2322833 | 2322833 | 2022-03-19 | Forest | Pennsylvania | 42053 | 2237 | 35 |
2322834 | 2322834 | 2022-03-19 | Franklin | Pennsylvania | 42055 | 40212 | 680 |
2322835 | 2322835 | 2022-03-19 | Fulton | Pennsylvania | 42057 | 4112 | 65 |
2322836 | 2322836 | 2022-03-19 | Greene | Pennsylvania | 42059 | 8423 | 100 |
2322837 | 2322837 | 2022-03-19 | Huntingdon | Pennsylvania | 42061 | 11471 | 241 |
2322838 | 2322838 | 2022-03-19 | Indiana | Pennsylvania | 42063 | 17352 | 350 |
2322839 | 2322839 | 2022-03-19 | Jefferson | Pennsylvania | 42065 | 8968 | 226 |
2322840 | 2322840 | 2022-03-19 | Juniata | Pennsylvania | 42067 | 4760 | 175 |
2322841 | 2322841 | 2022-03-19 | Lackawanna | Pennsylvania | 42069 | 43195 | 745 |
2322842 | 2322842 | 2022-03-19 | Lancaster | Pennsylvania | 42071 | 120558 | 1873 |
2322843 | 2322843 | 2022-03-19 | Lawrence | Pennsylvania | 42073 | 18869 | 410 |
2322844 | 2322844 | 2022-03-19 | Lebanon | Pennsylvania | 42075 | 36425 | 508 |
2322845 | 2322845 | 2022-03-19 | Lehigh | Pennsylvania | 42077 | 89076 | 1229 |
2322846 | 2322846 | 2022-03-19 | Luzerne | Pennsylvania | 42079 | 73226 | 1329 |
2322847 | 2322847 | 2022-03-19 | Lycoming | Pennsylvania | 42081 | 28349 | 508 |
2322848 | 2322848 | 2022-03-19 | McKean | Pennsylvania | 42083 | 8146 | 138 |
2322849 | 2322849 | 2022-03-19 | Mercer | Pennsylvania | 42085 | 23259 | 495 |
2322850 | 2322850 | 2022-03-19 | Mifflin | Pennsylvania | 42087 | 12242 | 276 |
2322851 | 2322851 | 2022-03-19 | Monroe | Pennsylvania | 42089 | 36786 | 515 |
2322852 | 2322852 | 2022-03-19 | Montgomery | Pennsylvania | 42091 | 151273 | 2294 |
2322853 | 2322853 | 2022-03-19 | Montour | Pennsylvania | 42093 | 4503 | 92 |
2322854 | 2322854 | 2022-03-19 | Northampton | Pennsylvania | 42095 | 79129 | 1079 |
2322855 | 2322855 | 2022-03-19 | Northumberland | Pennsylvania | 42097 | 22747 | 526 |
2322856 | 2322856 | 2022-03-19 | Perry | Pennsylvania | 42099 | 8811 | 182 |
2322857 | 2322857 | 2022-03-19 | Philadelphia | Pennsylvania | 42101 | 306978 | 5035 |
2322858 | 2322858 | 2022-03-19 | Pike | Pennsylvania | 42103 | 10005 | 95 |
2322859 | 2322859 | 2022-03-19 | Potter | Pennsylvania | 42105 | 3156 | 91 |
2322860 | 2322860 | 2022-03-19 | Schuylkill | Pennsylvania | 42107 | 34339 | 670 |
2322861 | 2322861 | 2022-03-19 | Snyder | Pennsylvania | 42109 | 8086 | 154 |
2322862 | 2322862 | 2022-03-19 | Somerset | Pennsylvania | 42111 | 18657 | 398 |
2322863 | 2322863 | 2022-03-19 | Sullivan | Pennsylvania | 42113 | 1047 | 36 |
2322864 | 2322864 | 2022-03-19 | Susquehanna | Pennsylvania | 42115 | 7707 | 107 |
2322865 | 2322865 | 2022-03-19 | Tioga | Pennsylvania | 42117 | 7946 | 191 |
2322866 | 2322866 | 2022-03-19 | Union | Pennsylvania | 42119 | 11662 | 151 |
2322867 | 2322867 | 2022-03-19 | Venango | Pennsylvania | 42121 | 11223 | 236 |
2322868 | 2322868 | 2022-03-19 | Warren | Pennsylvania | 42123 | 7298 | 207 |
2322869 | 2322869 | 2022-03-19 | Washington | Pennsylvania | 42125 | 50630 | 644 |
2322870 | 2322870 | 2022-03-19 | Wayne | Pennsylvania | 42127 | 10067 | 167 |
2322871 | 2322871 | 2022-03-19 | Westmoreland | Pennsylvania | 42129 | 79426 | 1359 |
2322872 | 2322872 | 2022-03-19 | Wyoming | Pennsylvania | 42131 | 5049 | 103 |
2322873 | 2322873 | 2022-03-19 | York | Pennsylvania | 42133 | 118250 | 1471 |
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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);