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 2020-04-20 and state = "Pennsylvania" sorted by date descending
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Suggested facets: deaths
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
74880 | 74880 | 2020-04-20 | Adams | Pennsylvania | 42001 | 85 | 1 |
74881 | 74881 | 2020-04-20 | Allegheny | Pennsylvania | 42003 | 1042 | 55 |
74882 | 74882 | 2020-04-20 | Armstrong | Pennsylvania | 42005 | 38 | 2 |
74883 | 74883 | 2020-04-20 | Beaver | Pennsylvania | 42007 | 298 | 36 |
74884 | 74884 | 2020-04-20 | Bedford | Pennsylvania | 42009 | 15 | 1 |
74885 | 74885 | 2020-04-20 | Berks | Pennsylvania | 42011 | 1945 | 74 |
74886 | 74886 | 2020-04-20 | Blair | Pennsylvania | 42013 | 14 | 0 |
74887 | 74887 | 2020-04-20 | Bradford | Pennsylvania | 42015 | 25 | 1 |
74888 | 74888 | 2020-04-20 | Bucks | Pennsylvania | 42017 | 1977 | 99 |
74889 | 74889 | 2020-04-20 | Butler | Pennsylvania | 42019 | 161 | 5 |
74890 | 74890 | 2020-04-20 | Cambria | Pennsylvania | 42021 | 19 | 1 |
74891 | 74891 | 2020-04-20 | Cameron | Pennsylvania | 42023 | 1 | 0 |
74892 | 74892 | 2020-04-20 | Carbon | Pennsylvania | 42025 | 144 | 9 |
74893 | 74893 | 2020-04-20 | Centre | Pennsylvania | 42027 | 73 | 1 |
74894 | 74894 | 2020-04-20 | Chester | Pennsylvania | 42029 | 915 | 44 |
74895 | 74895 | 2020-04-20 | Clarion | Pennsylvania | 42031 | 18 | 1 |
74896 | 74896 | 2020-04-20 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
74897 | 74897 | 2020-04-20 | Clinton | Pennsylvania | 42035 | 11 | 0 |
74898 | 74898 | 2020-04-20 | Columbia | Pennsylvania | 42037 | 208 | 7 |
74899 | 74899 | 2020-04-20 | Crawford | Pennsylvania | 42039 | 16 | 0 |
74900 | 74900 | 2020-04-20 | Cumberland | Pennsylvania | 42041 | 186 | 4 |
74901 | 74901 | 2020-04-20 | Dauphin | Pennsylvania | 42043 | 386 | 9 |
74902 | 74902 | 2020-04-20 | Delaware | Pennsylvania | 42045 | 2545 | 100 |
74903 | 74903 | 2020-04-20 | Elk | Pennsylvania | 42047 | 2 | 0 |
74904 | 74904 | 2020-04-20 | Erie | Pennsylvania | 42049 | 60 | 1 |
74905 | 74905 | 2020-04-20 | Fayette | Pennsylvania | 42051 | 67 | 3 |
74906 | 74906 | 2020-04-20 | Forest | Pennsylvania | 42053 | 7 | 0 |
74907 | 74907 | 2020-04-20 | Franklin | Pennsylvania | 42055 | 115 | 0 |
74908 | 74908 | 2020-04-20 | Fulton | Pennsylvania | 42057 | 2 | 0 |
74909 | 74909 | 2020-04-20 | Greene | Pennsylvania | 42059 | 25 | 0 |
74910 | 74910 | 2020-04-20 | Huntingdon | Pennsylvania | 42061 | 13 | 0 |
74911 | 74911 | 2020-04-20 | Indiana | Pennsylvania | 42063 | 53 | 4 |
74912 | 74912 | 2020-04-20 | Jefferson | Pennsylvania | 42065 | 3 | 0 |
74913 | 74913 | 2020-04-20 | Juniata | Pennsylvania | 42067 | 72 | 0 |
74914 | 74914 | 2020-04-20 | Lackawanna | Pennsylvania | 42069 | 646 | 41 |
74915 | 74915 | 2020-04-20 | Lancaster | Pennsylvania | 42071 | 1236 | 101 |
74916 | 74916 | 2020-04-20 | Lawrence | Pennsylvania | 42073 | 59 | 5 |
74917 | 74917 | 2020-04-20 | Lebanon | Pennsylvania | 42075 | 502 | 5 |
74918 | 74918 | 2020-04-20 | Lehigh | Pennsylvania | 42077 | 2245 | 33 |
74919 | 74919 | 2020-04-20 | Luzerne | Pennsylvania | 42079 | 1767 | 36 |
74920 | 74920 | 2020-04-20 | Lycoming | Pennsylvania | 42081 | 40 | 0 |
74921 | 74921 | 2020-04-20 | McKean | Pennsylvania | 42083 | 4 | 0 |
74922 | 74922 | 2020-04-20 | Mercer | Pennsylvania | 42085 | 59 | 1 |
74923 | 74923 | 2020-04-20 | Mifflin | Pennsylvania | 42087 | 20 | 0 |
74924 | 74924 | 2020-04-20 | Monroe | Pennsylvania | 42089 | 970 | 39 |
74925 | 74925 | 2020-04-20 | Montgomery | Pennsylvania | 42091 | 3040 | 184 |
74926 | 74926 | 2020-04-20 | Montour | Pennsylvania | 42093 | 48 | 0 |
74927 | 74927 | 2020-04-20 | Northampton | Pennsylvania | 42095 | 1469 | 36 |
74928 | 74928 | 2020-04-20 | Northumberland | Pennsylvania | 42097 | 73 | 0 |
74929 | 74929 | 2020-04-20 | Perry | Pennsylvania | 42099 | 20 | 1 |
74930 | 74930 | 2020-04-20 | Philadelphia | Pennsylvania | 42101 | 9553 | 370 |
74931 | 74931 | 2020-04-20 | Pike | Pennsylvania | 42103 | 304 | 9 |
74932 | 74932 | 2020-04-20 | Potter | Pennsylvania | 42105 | 4 | 0 |
74933 | 74933 | 2020-04-20 | Schuylkill | Pennsylvania | 42107 | 267 | 5 |
74934 | 74934 | 2020-04-20 | Snyder | Pennsylvania | 42109 | 28 | 1 |
74935 | 74935 | 2020-04-20 | Somerset | Pennsylvania | 42111 | 19 | 0 |
74936 | 74936 | 2020-04-20 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
74937 | 74937 | 2020-04-20 | Susquehanna | Pennsylvania | 42115 | 66 | 4 |
74938 | 74938 | 2020-04-20 | Tioga | Pennsylvania | 42117 | 14 | 1 |
74939 | 74939 | 2020-04-20 | Union | Pennsylvania | 42119 | 28 | 0 |
74940 | 74940 | 2020-04-20 | Venango | Pennsylvania | 42121 | 6 | 0 |
74941 | 74941 | 2020-04-20 | Warren | Pennsylvania | 42123 | 1 | 0 |
74942 | 74942 | 2020-04-20 | Washington | Pennsylvania | 42125 | 83 | 2 |
74943 | 74943 | 2020-04-20 | Wayne | Pennsylvania | 42127 | 85 | 3 |
74944 | 74944 | 2020-04-20 | Westmoreland | Pennsylvania | 42129 | 286 | 24 |
74945 | 74945 | 2020-04-20 | Wyoming | Pennsylvania | 42131 | 17 | 1 |
74946 | 74946 | 2020-04-20 | York | Pennsylvania | 42133 | 493 | 6 |
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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);