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 2020-04-07 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
39912 | 39912 | 2020-04-07 | Adams | Pennsylvania | 42001 | 28 | 0 |
39913 | 39913 | 2020-04-07 | Allegheny | Pennsylvania | 42003 | 689 | 6 |
39914 | 39914 | 2020-04-07 | Armstrong | Pennsylvania | 42005 | 18 | 0 |
39915 | 39915 | 2020-04-07 | Beaver | Pennsylvania | 42007 | 116 | 9 |
39916 | 39916 | 2020-04-07 | Bedford | Pennsylvania | 42009 | 4 | 0 |
39917 | 39917 | 2020-04-07 | Berks | Pennsylvania | 42011 | 369 | 4 |
39918 | 39918 | 2020-04-07 | Blair | Pennsylvania | 42013 | 6 | 0 |
39919 | 39919 | 2020-04-07 | Bradford | Pennsylvania | 42015 | 14 | 0 |
39920 | 39920 | 2020-04-07 | Bucks | Pennsylvania | 42017 | 713 | 21 |
39921 | 39921 | 2020-04-07 | Butler | Pennsylvania | 42019 | 107 | 2 |
39922 | 39922 | 2020-04-07 | Cambria | Pennsylvania | 42021 | 7 | 1 |
39923 | 39923 | 2020-04-07 | Cameron | Pennsylvania | 42023 | 1 | 0 |
39924 | 39924 | 2020-04-07 | Carbon | Pennsylvania | 42025 | 67 | 1 |
39925 | 39925 | 2020-04-07 | Centre | Pennsylvania | 42027 | 55 | 0 |
39926 | 39926 | 2020-04-07 | Chester | Pennsylvania | 42029 | 335 | 6 |
39927 | 39927 | 2020-04-07 | Clarion | Pennsylvania | 42031 | 9 | 0 |
39928 | 39928 | 2020-04-07 | Clearfield | Pennsylvania | 42033 | 7 | 0 |
39929 | 39929 | 2020-04-07 | Clinton | Pennsylvania | 42035 | 3 | 0 |
39930 | 39930 | 2020-04-07 | Columbia | Pennsylvania | 42037 | 42 | 1 |
39931 | 39931 | 2020-04-07 | Crawford | Pennsylvania | 42039 | 8 | 0 |
39932 | 39932 | 2020-04-07 | Cumberland | Pennsylvania | 42041 | 77 | 2 |
39933 | 39933 | 2020-04-07 | Dauphin | Pennsylvania | 42043 | 155 | 1 |
39934 | 39934 | 2020-04-07 | Delaware | Pennsylvania | 42045 | 898 | 20 |
39935 | 39935 | 2020-04-07 | Elk | Pennsylvania | 42047 | 2 | 0 |
39936 | 39936 | 2020-04-07 | Erie | Pennsylvania | 42049 | 28 | 1 |
39937 | 39937 | 2020-04-07 | Fayette | Pennsylvania | 42051 | 32 | 1 |
39938 | 39938 | 2020-04-07 | Forest | Pennsylvania | 42053 | 5 | 0 |
39939 | 39939 | 2020-04-07 | Franklin | Pennsylvania | 42055 | 39 | 0 |
39940 | 39940 | 2020-04-07 | Fulton | Pennsylvania | 42057 | 1 | 0 |
39941 | 39941 | 2020-04-07 | Greene | Pennsylvania | 42059 | 15 | 0 |
39942 | 39942 | 2020-04-07 | Huntingdon | Pennsylvania | 42061 | 5 | 0 |
39943 | 39943 | 2020-04-07 | Indiana | Pennsylvania | 42063 | 21 | 0 |
39944 | 39944 | 2020-04-07 | Jefferson | Pennsylvania | 42065 | 1 | 0 |
39945 | 39945 | 2020-04-07 | Juniata | Pennsylvania | 42067 | 14 | 0 |
39946 | 39946 | 2020-04-07 | Lackawanna | Pennsylvania | 42069 | 235 | 8 |
39947 | 39947 | 2020-04-07 | Lancaster | Pennsylvania | 42071 | 490 | 14 |
39948 | 39948 | 2020-04-07 | Lawrence | Pennsylvania | 42073 | 29 | 2 |
39949 | 39949 | 2020-04-07 | Lebanon | Pennsylvania | 42075 | 145 | 0 |
39950 | 39950 | 2020-04-07 | Lehigh | Pennsylvania | 42077 | 1146 | 10 |
39951 | 39951 | 2020-04-07 | Luzerne | Pennsylvania | 42079 | 982 | 8 |
39952 | 39952 | 2020-04-07 | Lycoming | Pennsylvania | 42081 | 12 | 0 |
39953 | 39953 | 2020-04-07 | McKean | Pennsylvania | 42083 | 1 | 0 |
39954 | 39954 | 2020-04-07 | Mercer | Pennsylvania | 42085 | 26 | 0 |
39955 | 39955 | 2020-04-07 | Mifflin | Pennsylvania | 42087 | 6 | 0 |
39956 | 39956 | 2020-04-07 | Monroe | Pennsylvania | 42089 | 610 | 12 |
39957 | 39957 | 2020-04-07 | Montgomery | Pennsylvania | 42091 | 1359 | 30 |
39958 | 39958 | 2020-04-07 | Montour | Pennsylvania | 42093 | 27 | 0 |
39959 | 39959 | 2020-04-07 | Northampton | Pennsylvania | 42095 | 774 | 14 |
39960 | 39960 | 2020-04-07 | Northumberland | Pennsylvania | 42097 | 22 | 0 |
39961 | 39961 | 2020-04-07 | Perry | Pennsylvania | 42099 | 9 | 1 |
39962 | 39962 | 2020-04-07 | Philadelphia | Pennsylvania | 42101 | 4012 | 58 |
39963 | 39963 | 2020-04-07 | Pike | Pennsylvania | 42103 | 136 | 5 |
39964 | 39964 | 2020-04-07 | Potter | Pennsylvania | 42105 | 3 | 0 |
39965 | 39965 | 2020-04-07 | Schuylkill | Pennsylvania | 42107 | 119 | 0 |
39966 | 39966 | 2020-04-07 | Snyder | Pennsylvania | 42109 | 9 | 1 |
39967 | 39967 | 2020-04-07 | Somerset | Pennsylvania | 42111 | 7 | 0 |
39968 | 39968 | 2020-04-07 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
39969 | 39969 | 2020-04-07 | Susquehanna | Pennsylvania | 42115 | 11 | 0 |
39970 | 39970 | 2020-04-07 | Tioga | Pennsylvania | 42117 | 10 | 0 |
39971 | 39971 | 2020-04-07 | Union | Pennsylvania | 42119 | 7 | 0 |
39972 | 39972 | 2020-04-07 | Venango | Pennsylvania | 42121 | 5 | 0 |
39973 | 39973 | 2020-04-07 | Warren | Pennsylvania | 42123 | 1 | 0 |
39974 | 39974 | 2020-04-07 | Washington | Pennsylvania | 42125 | 57 | 0 |
39975 | 39975 | 2020-04-07 | Wayne | Pennsylvania | 42127 | 40 | 0 |
39976 | 39976 | 2020-04-07 | Westmoreland | Pennsylvania | 42129 | 177 | 0 |
39977 | 39977 | 2020-04-07 | Wyoming | Pennsylvania | 42131 | 5 | 0 |
39978 | 39978 | 2020-04-07 | York | Pennsylvania | 42133 | 218 | 2 |
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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);