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 2020-05-01 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
105916 | 105916 | 2020-05-01 | Adams | Pennsylvania | 42001 | 140 | 4 |
105917 | 105917 | 2020-05-01 | Allegheny | Pennsylvania | 42003 | 1319 | 99 |
105918 | 105918 | 2020-05-01 | Armstrong | Pennsylvania | 42005 | 52 | 2 |
105919 | 105919 | 2020-05-01 | Beaver | Pennsylvania | 42007 | 426 | 67 |
105920 | 105920 | 2020-05-01 | Bedford | Pennsylvania | 42009 | 24 | 1 |
105921 | 105921 | 2020-05-01 | Berks | Pennsylvania | 42011 | 2748 | 117 |
105922 | 105922 | 2020-05-01 | Blair | Pennsylvania | 42013 | 23 | 0 |
105923 | 105923 | 2020-05-01 | Bradford | Pennsylvania | 42015 | 33 | 5 |
105924 | 105924 | 2020-05-01 | Bucks | Pennsylvania | 42017 | 3169 | 230 |
105925 | 105925 | 2020-05-01 | Butler | Pennsylvania | 42019 | 180 | 6 |
105926 | 105926 | 2020-05-01 | Cambria | Pennsylvania | 42021 | 31 | 2 |
105927 | 105927 | 2020-05-01 | Cameron | Pennsylvania | 42023 | 1 | 0 |
105928 | 105928 | 2020-05-01 | Carbon | Pennsylvania | 42025 | 181 | 15 |
105929 | 105929 | 2020-05-01 | Centre | Pennsylvania | 42027 | 96 | 2 |
105930 | 105930 | 2020-05-01 | Chester | Pennsylvania | 42029 | 1470 | 112 |
105931 | 105931 | 2020-05-01 | Clarion | Pennsylvania | 42031 | 23 | 1 |
105932 | 105932 | 2020-05-01 | Clearfield | Pennsylvania | 42033 | 16 | 0 |
105933 | 105933 | 2020-05-01 | Clinton | Pennsylvania | 42035 | 32 | 0 |
105934 | 105934 | 2020-05-01 | Columbia | Pennsylvania | 42037 | 289 | 14 |
105935 | 105935 | 2020-05-01 | Crawford | Pennsylvania | 42039 | 19 | 0 |
105936 | 105936 | 2020-05-01 | Cumberland | Pennsylvania | 42041 | 349 | 17 |
105937 | 105937 | 2020-05-01 | Dauphin | Pennsylvania | 42043 | 601 | 25 |
105938 | 105938 | 2020-05-01 | Delaware | Pennsylvania | 42045 | 3895 | 240 |
105939 | 105939 | 2020-05-01 | Elk | Pennsylvania | 42047 | 3 | 0 |
105940 | 105940 | 2020-05-01 | Erie | Pennsylvania | 42049 | 87 | 2 |
105941 | 105941 | 2020-05-01 | Fayette | Pennsylvania | 42051 | 81 | 4 |
105942 | 105942 | 2020-05-01 | Forest | Pennsylvania | 42053 | 7 | 0 |
105943 | 105943 | 2020-05-01 | Franklin | Pennsylvania | 42055 | 313 | 10 |
105944 | 105944 | 2020-05-01 | Fulton | Pennsylvania | 42057 | 5 | 0 |
105945 | 105945 | 2020-05-01 | Greene | Pennsylvania | 42059 | 26 | 0 |
105946 | 105946 | 2020-05-01 | Huntingdon | Pennsylvania | 42061 | 40 | 0 |
105947 | 105947 | 2020-05-01 | Indiana | Pennsylvania | 42063 | 63 | 4 |
105948 | 105948 | 2020-05-01 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
105949 | 105949 | 2020-05-01 | Juniata | Pennsylvania | 42067 | 84 | 1 |
105950 | 105950 | 2020-05-01 | Lackawanna | Pennsylvania | 42069 | 934 | 83 |
105951 | 105951 | 2020-05-01 | Lancaster | Pennsylvania | 42071 | 1820 | 183 |
105952 | 105952 | 2020-05-01 | Lawrence | Pennsylvania | 42073 | 65 | 6 |
105953 | 105953 | 2020-05-01 | Lebanon | Pennsylvania | 42075 | 694 | 9 |
105954 | 105954 | 2020-05-01 | Lehigh | Pennsylvania | 42077 | 2850 | 80 |
105955 | 105955 | 2020-05-01 | Luzerne | Pennsylvania | 42079 | 2173 | 92 |
105956 | 105956 | 2020-05-01 | Lycoming | Pennsylvania | 42081 | 71 | 2 |
105957 | 105957 | 2020-05-01 | McKean | Pennsylvania | 42083 | 6 | 0 |
105958 | 105958 | 2020-05-01 | Mercer | Pennsylvania | 42085 | 66 | 1 |
105959 | 105959 | 2020-05-01 | Mifflin | Pennsylvania | 42087 | 37 | 0 |
105960 | 105960 | 2020-05-01 | Monroe | Pennsylvania | 42089 | 1147 | 54 |
105961 | 105961 | 2020-05-01 | Montgomery | Pennsylvania | 42091 | 4406 | 362 |
105962 | 105962 | 2020-05-01 | Montour | Pennsylvania | 42093 | 48 | 0 |
105963 | 105963 | 2020-05-01 | Northampton | Pennsylvania | 42095 | 2103 | 94 |
105964 | 105964 | 2020-05-01 | Northumberland | Pennsylvania | 42097 | 95 | 0 |
105965 | 105965 | 2020-05-01 | Perry | Pennsylvania | 42099 | 32 | 1 |
105966 | 105966 | 2020-05-01 | Philadelphia | Pennsylvania | 42101 | 15137 | 638 |
105967 | 105967 | 2020-05-01 | Pike | Pennsylvania | 42103 | 383 | 15 |
105968 | 105968 | 2020-05-01 | Potter | Pennsylvania | 42105 | 4 | 0 |
105969 | 105969 | 2020-05-01 | Schuylkill | Pennsylvania | 42107 | 375 | 7 |
105970 | 105970 | 2020-05-01 | Snyder | Pennsylvania | 42109 | 33 | 1 |
105971 | 105971 | 2020-05-01 | Somerset | Pennsylvania | 42111 | 26 | 0 |
105972 | 105972 | 2020-05-01 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
105973 | 105973 | 2020-05-01 | Susquehanna | Pennsylvania | 42115 | 84 | 8 |
105974 | 105974 | 2020-05-01 | Tioga | Pennsylvania | 42117 | 16 | 2 |
105975 | 105975 | 2020-05-01 | Union | Pennsylvania | 42119 | 37 | 0 |
105976 | 105976 | 2020-05-01 | Venango | Pennsylvania | 42121 | 7 | 0 |
105977 | 105977 | 2020-05-01 | Warren | Pennsylvania | 42123 | 1 | 1 |
105978 | 105978 | 2020-05-01 | Washington | Pennsylvania | 42125 | 116 | 2 |
105979 | 105979 | 2020-05-01 | Wayne | Pennsylvania | 42127 | 102 | 5 |
105980 | 105980 | 2020-05-01 | Westmoreland | Pennsylvania | 42129 | 393 | 30 |
105981 | 105981 | 2020-05-01 | Wyoming | Pennsylvania | 42131 | 21 | 2 |
105982 | 105982 | 2020-05-01 | York | Pennsylvania | 42133 | 651 | 13 |
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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);