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 2020-04-16 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 |
---|---|---|---|---|---|---|---|
63834 | 63834 | 2020-04-16 | Adams | Pennsylvania | 42001 | 67 | 1 |
63835 | 63835 | 2020-04-16 | Allegheny | Pennsylvania | 42003 | 925 | 38 |
63836 | 63836 | 2020-04-16 | Armstrong | Pennsylvania | 42005 | 32 | 1 |
63837 | 63837 | 2020-04-16 | Beaver | Pennsylvania | 42007 | 168 | 14 |
63838 | 63838 | 2020-04-16 | Bedford | Pennsylvania | 42009 | 11 | 1 |
63839 | 63839 | 2020-04-16 | Berks | Pennsylvania | 42011 | 1419 | 31 |
63840 | 63840 | 2020-04-16 | Blair | Pennsylvania | 42013 | 13 | 0 |
63841 | 63841 | 2020-04-16 | Bradford | Pennsylvania | 42015 | 19 | 0 |
63842 | 63842 | 2020-04-16 | Bucks | Pennsylvania | 42017 | 1546 | 67 |
63843 | 63843 | 2020-04-16 | Butler | Pennsylvania | 42019 | 154 | 5 |
63844 | 63844 | 2020-04-16 | Cambria | Pennsylvania | 42021 | 14 | 1 |
63845 | 63845 | 2020-04-16 | Cameron | Pennsylvania | 42023 | 1 | 0 |
63846 | 63846 | 2020-04-16 | Carbon | Pennsylvania | 42025 | 113 | 6 |
63847 | 63847 | 2020-04-16 | Centre | Pennsylvania | 42027 | 73 | 0 |
63848 | 63848 | 2020-04-16 | Chester | Pennsylvania | 42029 | 722 | 28 |
63849 | 63849 | 2020-04-16 | Clarion | Pennsylvania | 42031 | 17 | 0 |
63850 | 63850 | 2020-04-16 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
63851 | 63851 | 2020-04-16 | Clinton | Pennsylvania | 42035 | 8 | 0 |
63852 | 63852 | 2020-04-16 | Columbia | Pennsylvania | 42037 | 146 | 3 |
63853 | 63853 | 2020-04-16 | Crawford | Pennsylvania | 42039 | 16 | 0 |
63854 | 63854 | 2020-04-16 | Cumberland | Pennsylvania | 42041 | 137 | 4 |
63855 | 63855 | 2020-04-16 | Dauphin | Pennsylvania | 42043 | 287 | 7 |
63856 | 63856 | 2020-04-16 | Delaware | Pennsylvania | 42045 | 2055 | 71 |
63857 | 63857 | 2020-04-16 | Elk | Pennsylvania | 42047 | 2 | 0 |
63858 | 63858 | 2020-04-16 | Erie | Pennsylvania | 42049 | 46 | 1 |
63859 | 63859 | 2020-04-16 | Fayette | Pennsylvania | 42051 | 60 | 3 |
63860 | 63860 | 2020-04-16 | Forest | Pennsylvania | 42053 | 7 | 0 |
63861 | 63861 | 2020-04-16 | Franklin | Pennsylvania | 42055 | 80 | 0 |
63862 | 63862 | 2020-04-16 | Fulton | Pennsylvania | 42057 | 2 | 0 |
63863 | 63863 | 2020-04-16 | Greene | Pennsylvania | 42059 | 24 | 0 |
63864 | 63864 | 2020-04-16 | Huntingdon | Pennsylvania | 42061 | 12 | 0 |
63865 | 63865 | 2020-04-16 | Indiana | Pennsylvania | 42063 | 44 | 2 |
63866 | 63866 | 2020-04-16 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
63867 | 63867 | 2020-04-16 | Juniata | Pennsylvania | 42067 | 56 | 0 |
63868 | 63868 | 2020-04-16 | Lackawanna | Pennsylvania | 42069 | 559 | 28 |
63869 | 63869 | 2020-04-16 | Lancaster | Pennsylvania | 42071 | 970 | 77 |
63870 | 63870 | 2020-04-16 | Lawrence | Pennsylvania | 42073 | 55 | 5 |
63871 | 63871 | 2020-04-16 | Lebanon | Pennsylvania | 42075 | 380 | 2 |
63872 | 63872 | 2020-04-16 | Lehigh | Pennsylvania | 42077 | 1999 | 28 |
63873 | 63873 | 2020-04-16 | Luzerne | Pennsylvania | 42079 | 1611 | 28 |
63874 | 63874 | 2020-04-16 | Lycoming | Pennsylvania | 42081 | 30 | 0 |
63875 | 63875 | 2020-04-16 | McKean | Pennsylvania | 42083 | 4 | 0 |
63876 | 63876 | 2020-04-16 | Mercer | Pennsylvania | 42085 | 50 | 0 |
63877 | 63877 | 2020-04-16 | Mifflin | Pennsylvania | 42087 | 15 | 0 |
63878 | 63878 | 2020-04-16 | Monroe | Pennsylvania | 42089 | 898 | 29 |
63879 | 63879 | 2020-04-16 | Montgomery | Pennsylvania | 42091 | 2544 | 128 |
63880 | 63880 | 2020-04-16 | Montour | Pennsylvania | 42093 | 48 | 0 |
63881 | 63881 | 2020-04-16 | Northampton | Pennsylvania | 42095 | 1296 | 25 |
63882 | 63882 | 2020-04-16 | Northumberland | Pennsylvania | 42097 | 60 | 0 |
63883 | 63883 | 2020-04-16 | Perry | Pennsylvania | 42099 | 17 | 1 |
63884 | 63884 | 2020-04-16 | Philadelphia | Pennsylvania | 42101 | 8045 | 264 |
63885 | 63885 | 2020-04-16 | Pike | Pennsylvania | 42103 | 276 | 7 |
63886 | 63886 | 2020-04-16 | Potter | Pennsylvania | 42105 | 4 | 0 |
63887 | 63887 | 2020-04-16 | Schuylkill | Pennsylvania | 42107 | 236 | 4 |
63888 | 63888 | 2020-04-16 | Snyder | Pennsylvania | 42109 | 24 | 1 |
63889 | 63889 | 2020-04-16 | Somerset | Pennsylvania | 42111 | 14 | 0 |
63890 | 63890 | 2020-04-16 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
63891 | 63891 | 2020-04-16 | Susquehanna | Pennsylvania | 42115 | 49 | 1 |
63892 | 63892 | 2020-04-16 | Tioga | Pennsylvania | 42117 | 13 | 1 |
63893 | 63893 | 2020-04-16 | Union | Pennsylvania | 42119 | 25 | 0 |
63894 | 63894 | 2020-04-16 | Venango | Pennsylvania | 42121 | 6 | 0 |
63895 | 63895 | 2020-04-16 | Warren | Pennsylvania | 42123 | 1 | 0 |
63896 | 63896 | 2020-04-16 | Washington | Pennsylvania | 42125 | 73 | 1 |
63897 | 63897 | 2020-04-16 | Wayne | Pennsylvania | 42127 | 77 | 2 |
63898 | 63898 | 2020-04-16 | Westmoreland | Pennsylvania | 42129 | 240 | 19 |
63899 | 63899 | 2020-04-16 | Wyoming | Pennsylvania | 42131 | 14 | 1 |
63900 | 63900 | 2020-04-16 | York | Pennsylvania | 42133 | 393 | 4 |
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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);