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 2020-08-12 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
426806 | 426806 | 2020-08-12 | Adams | Pennsylvania | 42001 | 535 | 20 |
426807 | 426807 | 2020-08-12 | Allegheny | Pennsylvania | 42003 | 9078 | 273 |
426808 | 426808 | 2020-08-12 | Armstrong | Pennsylvania | 42005 | 230 | 8 |
426809 | 426809 | 2020-08-12 | Beaver | Pennsylvania | 42007 | 1351 | 93 |
426810 | 426810 | 2020-08-12 | Bedford | Pennsylvania | 42009 | 145 | 4 |
426811 | 426811 | 2020-08-12 | Berks | Pennsylvania | 42011 | 5470 | 372 |
426812 | 426812 | 2020-08-12 | Blair | Pennsylvania | 42013 | 302 | 7 |
426813 | 426813 | 2020-08-12 | Bradford | Pennsylvania | 42015 | 90 | 3 |
426814 | 426814 | 2020-08-12 | Bucks | Pennsylvania | 42017 | 7275 | 582 |
426815 | 426815 | 2020-08-12 | Butler | Pennsylvania | 42019 | 695 | 16 |
426816 | 426816 | 2020-08-12 | Cambria | Pennsylvania | 42021 | 351 | 3 |
426817 | 426817 | 2020-08-12 | Cameron | Pennsylvania | 42023 | 7 | 0 |
426818 | 426818 | 2020-08-12 | Carbon | Pennsylvania | 42025 | 377 | 28 |
426819 | 426819 | 2020-08-12 | Centre | Pennsylvania | 42027 | 377 | 10 |
426820 | 426820 | 2020-08-12 | Chester | Pennsylvania | 42029 | 5235 | 350 |
426821 | 426821 | 2020-08-12 | Clarion | Pennsylvania | 42031 | 83 | 2 |
426822 | 426822 | 2020-08-12 | Clearfield | Pennsylvania | 42033 | 177 | 1 |
426823 | 426823 | 2020-08-12 | Clinton | Pennsylvania | 42035 | 124 | 5 |
426824 | 426824 | 2020-08-12 | Columbia | Pennsylvania | 42037 | 481 | 35 |
426825 | 426825 | 2020-08-12 | Crawford | Pennsylvania | 42039 | 162 | 1 |
426826 | 426826 | 2020-08-12 | Cumberland | Pennsylvania | 42041 | 1327 | 71 |
426827 | 426827 | 2020-08-12 | Dauphin | Pennsylvania | 42043 | 2873 | 159 |
426828 | 426828 | 2020-08-12 | Delaware | Pennsylvania | 42045 | 9482 | 752 |
426829 | 426829 | 2020-08-12 | Elk | Pennsylvania | 42047 | 54 | 2 |
426830 | 426830 | 2020-08-12 | Erie | Pennsylvania | 42049 | 1143 | 22 |
426831 | 426831 | 2020-08-12 | Fayette | Pennsylvania | 42051 | 582 | 6 |
426832 | 426832 | 2020-08-12 | Forest | Pennsylvania | 42053 | 10 | 0 |
426833 | 426833 | 2020-08-12 | Franklin | Pennsylvania | 42055 | 1385 | 46 |
426834 | 426834 | 2020-08-12 | Fulton | Pennsylvania | 42057 | 27 | 2 |
426835 | 426835 | 2020-08-12 | Greene | Pennsylvania | 42059 | 118 | 1 |
426836 | 426836 | 2020-08-12 | Huntingdon | Pennsylvania | 42061 | 309 | 4 |
426837 | 426837 | 2020-08-12 | Indiana | Pennsylvania | 42063 | 335 | 7 |
426838 | 426838 | 2020-08-12 | Jefferson | Pennsylvania | 42065 | 74 | 1 |
426839 | 426839 | 2020-08-12 | Juniata | Pennsylvania | 42067 | 135 | 6 |
426840 | 426840 | 2020-08-12 | Lackawanna | Pennsylvania | 42069 | 1946 | 212 |
426841 | 426841 | 2020-08-12 | Lancaster | Pennsylvania | 42071 | 6028 | 417 |
426842 | 426842 | 2020-08-12 | Lawrence | Pennsylvania | 42073 | 401 | 16 |
426843 | 426843 | 2020-08-12 | Lebanon | Pennsylvania | 42075 | 1626 | 55 |
426844 | 426844 | 2020-08-12 | Lehigh | Pennsylvania | 42077 | 5022 | 338 |
426845 | 426845 | 2020-08-12 | Luzerne | Pennsylvania | 42079 | 3526 | 184 |
426846 | 426846 | 2020-08-12 | Lycoming | Pennsylvania | 42081 | 411 | 20 |
426847 | 426847 | 2020-08-12 | McKean | Pennsylvania | 42083 | 34 | 1 |
426848 | 426848 | 2020-08-12 | Mercer | Pennsylvania | 42085 | 456 | 11 |
426849 | 426849 | 2020-08-12 | Mifflin | Pennsylvania | 42087 | 121 | 1 |
426850 | 426850 | 2020-08-12 | Monroe | Pennsylvania | 42089 | 1650 | 124 |
426851 | 426851 | 2020-08-12 | Montgomery | Pennsylvania | 42091 | 10219 | 859 |
426852 | 426852 | 2020-08-12 | Montour | Pennsylvania | 42093 | 104 | 3 |
426853 | 426853 | 2020-08-12 | Northampton | Pennsylvania | 42095 | 3956 | 293 |
426854 | 426854 | 2020-08-12 | Northumberland | Pennsylvania | 42097 | 513 | 15 |
426855 | 426855 | 2020-08-12 | Perry | Pennsylvania | 42099 | 125 | 5 |
426856 | 426856 | 2020-08-12 | Philadelphia | Pennsylvania | 42101 | 31725 | 1716 |
426857 | 426857 | 2020-08-12 | Pike | Pennsylvania | 42103 | 526 | 21 |
426858 | 426858 | 2020-08-12 | Potter | Pennsylvania | 42105 | 20 | 0 |
426859 | 426859 | 2020-08-12 | Schuylkill | Pennsylvania | 42107 | 928 | 51 |
426860 | 426860 | 2020-08-12 | Snyder | Pennsylvania | 42109 | 112 | 2 |
426861 | 426861 | 2020-08-12 | Somerset | Pennsylvania | 42111 | 138 | 3 |
426862 | 426862 | 2020-08-12 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
426863 | 426863 | 2020-08-12 | Susquehanna | Pennsylvania | 42115 | 217 | 27 |
426864 | 426864 | 2020-08-12 | Tioga | Pennsylvania | 42117 | 39 | 3 |
426865 | 426865 | 2020-08-12 | Union | Pennsylvania | 42119 | 276 | 2 |
426866 | 426866 | 2020-08-12 | Venango | Pennsylvania | 42121 | 67 | 0 |
426867 | 426867 | 2020-08-12 | Warren | Pennsylvania | 42123 | 23 | 1 |
426868 | 426868 | 2020-08-12 | Washington | Pennsylvania | 42125 | 871 | 13 |
426869 | 426869 | 2020-08-12 | Wayne | Pennsylvania | 42127 | 162 | 10 |
426870 | 426870 | 2020-08-12 | Westmoreland | Pennsylvania | 42129 | 1573 | 47 |
426871 | 426871 | 2020-08-12 | Wyoming | Pennsylvania | 42131 | 61 | 8 |
426872 | 426872 | 2020-08-12 | York | Pennsylvania | 42133 | 2680 | 97 |
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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);