ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2020-07-30" and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
384960 | 384960 | 2020-07-30 | Adams | Pennsylvania | 42001 | 461 | 19 |
384961 | 384961 | 2020-07-30 | Allegheny | Pennsylvania | 42003 | 7850 | 235 |
384962 | 384962 | 2020-07-30 | Armstrong | Pennsylvania | 42005 | 178 | 6 |
384963 | 384963 | 2020-07-30 | Beaver | Pennsylvania | 42007 | 1189 | 88 |
384964 | 384964 | 2020-07-30 | Bedford | Pennsylvania | 42009 | 127 | 4 |
384965 | 384965 | 2020-07-30 | Berks | Pennsylvania | 42011 | 5125 | 364 |
384966 | 384966 | 2020-07-30 | Blair | Pennsylvania | 42013 | 201 | 3 |
384967 | 384967 | 2020-07-30 | Bradford | Pennsylvania | 42015 | 80 | 3 |
384968 | 384968 | 2020-07-30 | Bucks | Pennsylvania | 42017 | 6847 | 577 |
384969 | 384969 | 2020-07-30 | Butler | Pennsylvania | 42019 | 593 | 15 |
384970 | 384970 | 2020-07-30 | Cambria | Pennsylvania | 42021 | 239 | 3 |
384971 | 384971 | 2020-07-30 | Cameron | Pennsylvania | 42023 | 5 | 0 |
384972 | 384972 | 2020-07-30 | Carbon | Pennsylvania | 42025 | 356 | 28 |
384973 | 384973 | 2020-07-30 | Centre | Pennsylvania | 42027 | 353 | 10 |
384974 | 384974 | 2020-07-30 | Chester | Pennsylvania | 42029 | 4836 | 346 |
384975 | 384975 | 2020-07-30 | Clarion | Pennsylvania | 42031 | 73 | 2 |
384976 | 384976 | 2020-07-30 | Clearfield | Pennsylvania | 42033 | 122 | 0 |
384977 | 384977 | 2020-07-30 | Clinton | Pennsylvania | 42035 | 113 | 5 |
384978 | 384978 | 2020-07-30 | Columbia | Pennsylvania | 42037 | 456 | 35 |
384979 | 384979 | 2020-07-30 | Crawford | Pennsylvania | 42039 | 122 | 1 |
384980 | 384980 | 2020-07-30 | Cumberland | Pennsylvania | 42041 | 1189 | 70 |
384981 | 384981 | 2020-07-30 | Dauphin | Pennsylvania | 42043 | 2628 | 155 |
384982 | 384982 | 2020-07-30 | Delaware | Pennsylvania | 42045 | 8656 | 730 |
384983 | 384983 | 2020-07-30 | Elk | Pennsylvania | 42047 | 42 | 2 |
384984 | 384984 | 2020-07-30 | Erie | Pennsylvania | 42049 | 905 | 15 |
384985 | 384985 | 2020-07-30 | Fayette | Pennsylvania | 42051 | 363 | 4 |
384986 | 384986 | 2020-07-30 | Forest | Pennsylvania | 42053 | 9 | 0 |
384987 | 384987 | 2020-07-30 | Franklin | Pennsylvania | 42055 | 1259 | 46 |
384988 | 384988 | 2020-07-30 | Fulton | Pennsylvania | 42057 | 22 | 2 |
384989 | 384989 | 2020-07-30 | Greene | Pennsylvania | 42059 | 105 | 0 |
384990 | 384990 | 2020-07-30 | Huntingdon | Pennsylvania | 42061 | 287 | 4 |
384991 | 384991 | 2020-07-30 | Indiana | Pennsylvania | 42063 | 250 | 6 |
384992 | 384992 | 2020-07-30 | Jefferson | Pennsylvania | 42065 | 57 | 1 |
384993 | 384993 | 2020-07-30 | Juniata | Pennsylvania | 42067 | 125 | 6 |
384994 | 384994 | 2020-07-30 | Lackawanna | Pennsylvania | 42069 | 1885 | 212 |
384995 | 384995 | 2020-07-30 | Lancaster | Pennsylvania | 42071 | 5488 | 406 |
384996 | 384996 | 2020-07-30 | Lawrence | Pennsylvania | 42073 | 324 | 11 |
384997 | 384997 | 2020-07-30 | Lebanon | Pennsylvania | 42075 | 1562 | 54 |
384998 | 384998 | 2020-07-30 | Lehigh | Pennsylvania | 42077 | 4795 | 335 |
384999 | 384999 | 2020-07-30 | Luzerne | Pennsylvania | 42079 | 3239 | 183 |
385000 | 385000 | 2020-07-30 | Lycoming | Pennsylvania | 42081 | 314 | 20 |
385001 | 385001 | 2020-07-30 | McKean | Pennsylvania | 42083 | 26 | 1 |
385002 | 385002 | 2020-07-30 | Mercer | Pennsylvania | 42085 | 318 | 9 |
385003 | 385003 | 2020-07-30 | Mifflin | Pennsylvania | 42087 | 98 | 1 |
385004 | 385004 | 2020-07-30 | Monroe | Pennsylvania | 42089 | 1573 | 123 |
385005 | 385005 | 2020-07-30 | Montgomery | Pennsylvania | 42091 | 9723 | 847 |
385006 | 385006 | 2020-07-30 | Montour | Pennsylvania | 42093 | 93 | 3 |
385007 | 385007 | 2020-07-30 | Northampton | Pennsylvania | 42095 | 3816 | 289 |
385008 | 385008 | 2020-07-30 | Northumberland | Pennsylvania | 42097 | 400 | 11 |
385009 | 385009 | 2020-07-30 | Perry | Pennsylvania | 42099 | 111 | 5 |
385010 | 385010 | 2020-07-30 | Philadelphia | Pennsylvania | 42101 | 30213 | 1691 |
385011 | 385011 | 2020-07-30 | Pike | Pennsylvania | 42103 | 524 | 21 |
385012 | 385012 | 2020-07-30 | Potter | Pennsylvania | 42105 | 20 | 0 |
385013 | 385013 | 2020-07-30 | Schuylkill | Pennsylvania | 42107 | 875 | 49 |
385014 | 385014 | 2020-07-30 | Snyder | Pennsylvania | 42109 | 92 | 2 |
385015 | 385015 | 2020-07-30 | Somerset | Pennsylvania | 42111 | 117 | 2 |
385016 | 385016 | 2020-07-30 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
385017 | 385017 | 2020-07-30 | Susquehanna | Pennsylvania | 42115 | 208 | 26 |
385018 | 385018 | 2020-07-30 | Tioga | Pennsylvania | 42117 | 34 | 2 |
385019 | 385019 | 2020-07-30 | Union | Pennsylvania | 42119 | 135 | 2 |
385020 | 385020 | 2020-07-30 | Venango | Pennsylvania | 42121 | 60 | 0 |
385021 | 385021 | 2020-07-30 | Warren | Pennsylvania | 42123 | 15 | 1 |
385022 | 385022 | 2020-07-30 | Washington | Pennsylvania | 42125 | 723 | 11 |
385023 | 385023 | 2020-07-30 | Wayne | Pennsylvania | 42127 | 157 | 8 |
385024 | 385024 | 2020-07-30 | Westmoreland | Pennsylvania | 42129 | 1382 | 45 |
385025 | 385025 | 2020-07-30 | Wyoming | Pennsylvania | 42131 | 57 | 8 |
385026 | 385026 | 2020-07-30 | York | Pennsylvania | 42133 | 2243 | 85 |
Advanced export
JSON shape: default, array, newline-delimited
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);