ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2021-03-11" and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1110947 | 1110947 | 2021-03-11 | Adams | Pennsylvania | 42001 | 7527 | 155 |
1110948 | 1110948 | 2021-03-11 | Allegheny | Pennsylvania | 42003 | 79154 | 1764 |
1110949 | 1110949 | 2021-03-11 | Armstrong | Pennsylvania | 42005 | 4966 | 116 |
1110950 | 1110950 | 2021-03-11 | Beaver | Pennsylvania | 42007 | 12579 | 352 |
1110951 | 1110951 | 2021-03-11 | Bedford | Pennsylvania | 42009 | 3856 | 129 |
1110952 | 1110952 | 2021-03-11 | Berks | Pennsylvania | 42011 | 36740 | 911 |
1110953 | 1110953 | 2021-03-11 | Blair | Pennsylvania | 42013 | 10768 | 305 |
1110954 | 1110954 | 2021-03-11 | Bradford | Pennsylvania | 42015 | 4481 | 79 |
1110955 | 1110955 | 2021-03-11 | Bucks | Pennsylvania | 42017 | 46714 | 1150 |
1110956 | 1110956 | 2021-03-11 | Butler | Pennsylvania | 42019 | 14296 | 375 |
1110957 | 1110957 | 2021-03-11 | Cambria | Pennsylvania | 42021 | 11892 | 399 |
1110958 | 1110958 | 2021-03-11 | Cameron | Pennsylvania | 42023 | 264 | 7 |
1110959 | 1110959 | 2021-03-11 | Carbon | Pennsylvania | 42025 | 4989 | 154 |
1110960 | 1110960 | 2021-03-11 | Centre | Pennsylvania | 42027 | 13257 | 213 |
1110961 | 1110961 | 2021-03-11 | Chester | Pennsylvania | 42029 | 31528 | 740 |
1110962 | 1110962 | 2021-03-11 | Clarion | Pennsylvania | 42031 | 2725 | 86 |
1110963 | 1110963 | 2021-03-11 | Clearfield | Pennsylvania | 42033 | 6555 | 121 |
1110964 | 1110964 | 2021-03-11 | Clinton | Pennsylvania | 42035 | 2891 | 57 |
1110965 | 1110965 | 2021-03-11 | Columbia | Pennsylvania | 42037 | 4721 | 125 |
1110966 | 1110966 | 2021-03-11 | Crawford | Pennsylvania | 42039 | 6499 | 138 |
1110967 | 1110967 | 2021-03-11 | Cumberland | Pennsylvania | 42041 | 16983 | 486 |
1110968 | 1110968 | 2021-03-11 | Dauphin | Pennsylvania | 42043 | 21170 | 504 |
1110969 | 1110969 | 2021-03-11 | Delaware | Pennsylvania | 42045 | 42118 | 1298 |
1110970 | 1110970 | 2021-03-11 | Elk | Pennsylvania | 42047 | 2362 | 36 |
1110971 | 1110971 | 2021-03-11 | Erie | Pennsylvania | 42049 | 17991 | 384 |
1110972 | 1110972 | 2021-03-11 | Fayette | Pennsylvania | 42051 | 10680 | 271 |
1110973 | 1110973 | 2021-03-11 | Forest | Pennsylvania | 42053 | 1386 | 21 |
1110974 | 1110974 | 2021-03-11 | Franklin | Pennsylvania | 42055 | 12795 | 330 |
1110975 | 1110975 | 2021-03-11 | Fulton | Pennsylvania | 42057 | 1150 | 14 |
1110976 | 1110976 | 2021-03-11 | Greene | Pennsylvania | 42059 | 2725 | 34 |
1110977 | 1110977 | 2021-03-11 | Huntingdon | Pennsylvania | 42061 | 4423 | 126 |
1110978 | 1110978 | 2021-03-11 | Indiana | Pennsylvania | 42063 | 5161 | 160 |
1110979 | 1110979 | 2021-03-11 | Jefferson | Pennsylvania | 42065 | 2849 | 90 |
1110980 | 1110980 | 2021-03-11 | Juniata | Pennsylvania | 42067 | 1848 | 81 |
1110981 | 1110981 | 2021-03-11 | Lackawanna | Pennsylvania | 42069 | 14415 | 427 |
1110982 | 1110982 | 2021-03-11 | Lancaster | Pennsylvania | 42071 | 44965 | 1058 |
1110983 | 1110983 | 2021-03-11 | Lawrence | Pennsylvania | 42073 | 6225 | 189 |
1110984 | 1110984 | 2021-03-11 | Lebanon | Pennsylvania | 42075 | 13121 | 261 |
1110985 | 1110985 | 2021-03-11 | Lehigh | Pennsylvania | 42077 | 31576 | 786 |
1110986 | 1110986 | 2021-03-11 | Luzerne | Pennsylvania | 42079 | 25461 | 746 |
1110987 | 1110987 | 2021-03-11 | Lycoming | Pennsylvania | 42081 | 9582 | 253 |
1110988 | 1110988 | 2021-03-11 | McKean | Pennsylvania | 42083 | 3092 | 65 |
1110989 | 1110989 | 2021-03-11 | Mercer | Pennsylvania | 42085 | 8305 | 243 |
1110990 | 1110990 | 2021-03-11 | Mifflin | Pennsylvania | 42087 | 4652 | 172 |
1110991 | 1110991 | 2021-03-11 | Monroe | Pennsylvania | 42089 | 10154 | 277 |
1110992 | 1110992 | 2021-03-11 | Montgomery | Pennsylvania | 42091 | 55716 | 1572 |
1110993 | 1110993 | 2021-03-11 | Montour | Pennsylvania | 42093 | 1761 | 60 |
1110994 | 1110994 | 2021-03-11 | Northampton | Pennsylvania | 42095 | 27765 | 656 |
1110995 | 1110995 | 2021-03-11 | Northumberland | Pennsylvania | 42097 | 8150 | 327 |
1110996 | 1110996 | 2021-03-11 | Perry | Pennsylvania | 42099 | 2981 | 86 |
1110997 | 1110997 | 2021-03-11 | Philadelphia | Pennsylvania | 42101 | 121583 | 3195 |
1110998 | 1110998 | 2021-03-11 | Pike | Pennsylvania | 42103 | 2706 | 48 |
1110999 | 1110999 | 2021-03-11 | Potter | Pennsylvania | 42105 | 960 | 21 |
1111000 | 1111000 | 2021-03-11 | Schuylkill | Pennsylvania | 42107 | 12265 | 372 |
1111001 | 1111001 | 2021-03-11 | Snyder | Pennsylvania | 42109 | 3147 | 82 |
1111002 | 1111002 | 2021-03-11 | Somerset | Pennsylvania | 42111 | 6768 | 186 |
1111003 | 1111003 | 2021-03-11 | Sullivan | Pennsylvania | 42113 | 318 | 20 |
1111004 | 1111004 | 2021-03-11 | Susquehanna | Pennsylvania | 42115 | 1760 | 53 |
1111005 | 1111005 | 2021-03-11 | Tioga | Pennsylvania | 42117 | 2482 | 94 |
1111006 | 1111006 | 2021-03-11 | Union | Pennsylvania | 42119 | 5306 | 83 |
1111007 | 1111007 | 2021-03-11 | Venango | Pennsylvania | 42121 | 3433 | 88 |
1111008 | 1111008 | 2021-03-11 | Warren | Pennsylvania | 42123 | 2224 | 98 |
1111009 | 1111009 | 2021-03-11 | Washington | Pennsylvania | 42125 | 14076 | 268 |
1111010 | 1111010 | 2021-03-11 | Wayne | Pennsylvania | 42127 | 3154 | 68 |
1111011 | 1111011 | 2021-03-11 | Westmoreland | Pennsylvania | 42129 | 27428 | 688 |
1111012 | 1111012 | 2021-03-11 | Wyoming | Pennsylvania | 42131 | 1197 | 42 |
1111013 | 1111013 | 2021-03-11 | York | Pennsylvania | 42133 | 36781 | 738 |
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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);