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 2022-02-04 and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2182966 | 2182966 | 2022-02-04 | Adams | Pennsylvania | 42001 | 23923 | 335 |
2182967 | 2182967 | 2022-02-04 | Allegheny | Pennsylvania | 42003 | 253888 | 3043 |
2182968 | 2182968 | 2022-02-04 | Armstrong | Pennsylvania | 42005 | 14705 | 307 |
2182969 | 2182969 | 2022-02-04 | Beaver | Pennsylvania | 42007 | 38347 | 683 |
2182970 | 2182970 | 2022-02-04 | Bedford | Pennsylvania | 42009 | 10489 | 256 |
2182971 | 2182971 | 2022-02-04 | Berks | Pennsylvania | 42011 | 99736 | 1509 |
2182972 | 2182972 | 2022-02-04 | Blair | Pennsylvania | 42013 | 28194 | 573 |
2182973 | 2182973 | 2022-02-04 | Bradford | Pennsylvania | 42015 | 14292 | 188 |
2182974 | 2182974 | 2022-02-04 | Bucks | Pennsylvania | 42017 | 119487 | 1762 |
2182975 | 2182975 | 2022-02-04 | Butler | Pennsylvania | 42019 | 43000 | 677 |
2182976 | 2182976 | 2022-02-04 | Cambria | Pennsylvania | 42021 | 33141 | 677 |
2182977 | 2182977 | 2022-02-04 | Cameron | Pennsylvania | 42023 | 781 | 18 |
2182978 | 2182978 | 2022-02-04 | Carbon | Pennsylvania | 42025 | 15434 | 265 |
2182979 | 2182979 | 2022-02-04 | Centre | Pennsylvania | 42027 | 33689 | 326 |
2182980 | 2182980 | 2022-02-04 | Chester | Pennsylvania | 42029 | 88232 | 1079 |
2182981 | 2182981 | 2022-02-04 | Clarion | Pennsylvania | 42031 | 7958 | 190 |
2182982 | 2182982 | 2022-02-04 | Clearfield | Pennsylvania | 42033 | 18309 | 304 |
2182983 | 2182983 | 2022-02-04 | Clinton | Pennsylvania | 42035 | 8647 | 117 |
2182984 | 2182984 | 2022-02-04 | Columbia | Pennsylvania | 42037 | 14268 | 219 |
2182985 | 2182985 | 2022-02-04 | Crawford | Pennsylvania | 42039 | 19148 | 289 |
2182986 | 2182986 | 2022-02-04 | Cumberland | Pennsylvania | 42041 | 48916 | 823 |
2182987 | 2182987 | 2022-02-04 | Dauphin | Pennsylvania | 42043 | 57366 | 875 |
2182988 | 2182988 | 2022-02-04 | Delaware | Pennsylvania | 42045 | 106970 | 1747 |
2182989 | 2182989 | 2022-02-04 | Elk | Pennsylvania | 42047 | 6832 | 86 |
2182990 | 2182990 | 2022-02-04 | Erie | Pennsylvania | 42049 | 55030 | 697 |
2182991 | 2182991 | 2022-02-04 | Fayette | Pennsylvania | 42051 | 29263 | 593 |
2182992 | 2182992 | 2022-02-04 | Forest | Pennsylvania | 42053 | 2153 | 34 |
2182993 | 2182993 | 2022-02-04 | Franklin | Pennsylvania | 42055 | 39020 | 631 |
2182994 | 2182994 | 2022-02-04 | Fulton | Pennsylvania | 42057 | 3928 | 59 |
2182995 | 2182995 | 2022-02-04 | Greene | Pennsylvania | 42059 | 8002 | 92 |
2182996 | 2182996 | 2022-02-04 | Huntingdon | Pennsylvania | 42061 | 10975 | 233 |
2182997 | 2182997 | 2022-02-04 | Indiana | Pennsylvania | 42063 | 16480 | 327 |
2182998 | 2182998 | 2022-02-04 | Jefferson | Pennsylvania | 42065 | 8523 | 206 |
2182999 | 2182999 | 2022-02-04 | Juniata | Pennsylvania | 42067 | 4583 | 168 |
2183000 | 2183000 | 2022-02-04 | Lackawanna | Pennsylvania | 42069 | 41239 | 681 |
2183001 | 2183001 | 2022-02-04 | Lancaster | Pennsylvania | 42071 | 117574 | 1763 |
2183002 | 2183002 | 2022-02-04 | Lawrence | Pennsylvania | 42073 | 18374 | 380 |
2183003 | 2183003 | 2022-02-04 | Lebanon | Pennsylvania | 42075 | 35650 | 475 |
2183004 | 2183004 | 2022-02-04 | Lehigh | Pennsylvania | 42077 | 87510 | 1178 |
2183005 | 2183005 | 2022-02-04 | Luzerne | Pennsylvania | 42079 | 70882 | 1227 |
2183006 | 2183006 | 2022-02-04 | Lycoming | Pennsylvania | 42081 | 27374 | 484 |
2183007 | 2183007 | 2022-02-04 | McKean | Pennsylvania | 42083 | 7763 | 128 |
2183008 | 2183008 | 2022-02-04 | Mercer | Pennsylvania | 42085 | 22717 | 471 |
2183009 | 2183009 | 2022-02-04 | Mifflin | Pennsylvania | 42087 | 11713 | 261 |
2183010 | 2183010 | 2022-02-04 | Monroe | Pennsylvania | 42089 | 35934 | 477 |
2183011 | 2183011 | 2022-02-04 | Montgomery | Pennsylvania | 42091 | 146330 | 2183 |
2183012 | 2183012 | 2022-02-04 | Montour | Pennsylvania | 42093 | 4297 | 85 |
2183013 | 2183013 | 2022-02-04 | Northampton | Pennsylvania | 42095 | 77485 | 1019 |
2183014 | 2183014 | 2022-02-04 | Northumberland | Pennsylvania | 42097 | 21977 | 499 |
2183015 | 2183015 | 2022-02-04 | Perry | Pennsylvania | 42099 | 8525 | 174 |
2183016 | 2183016 | 2022-02-04 | Philadelphia | Pennsylvania | 42101 | 298012 | 4770 |
2183017 | 2183017 | 2022-02-04 | Pike | Pennsylvania | 42103 | 9493 | 88 |
2183018 | 2183018 | 2022-02-04 | Potter | Pennsylvania | 42105 | 3003 | 87 |
2183019 | 2183019 | 2022-02-04 | Schuylkill | Pennsylvania | 42107 | 33294 | 634 |
2183020 | 2183020 | 2022-02-04 | Snyder | Pennsylvania | 42109 | 7822 | 146 |
2183021 | 2183021 | 2022-02-04 | Somerset | Pennsylvania | 42111 | 18013 | 379 |
2183022 | 2183022 | 2022-02-04 | Sullivan | Pennsylvania | 42113 | 1022 | 32 |
2183023 | 2183023 | 2022-02-04 | Susquehanna | Pennsylvania | 42115 | 7379 | 101 |
2183024 | 2183024 | 2022-02-04 | Tioga | Pennsylvania | 42117 | 7591 | 186 |
2183025 | 2183025 | 2022-02-04 | Union | Pennsylvania | 42119 | 11157 | 140 |
2183026 | 2183026 | 2022-02-04 | Venango | Pennsylvania | 42121 | 10897 | 222 |
2183027 | 2183027 | 2022-02-04 | Warren | Pennsylvania | 42123 | 6978 | 200 |
2183028 | 2183028 | 2022-02-04 | Washington | Pennsylvania | 42125 | 48954 | 591 |
2183029 | 2183029 | 2022-02-04 | Wayne | Pennsylvania | 42127 | 9671 | 154 |
2183030 | 2183030 | 2022-02-04 | Westmoreland | Pennsylvania | 42129 | 76588 | 1267 |
2183031 | 2183031 | 2022-02-04 | Wyoming | Pennsylvania | 42131 | 4843 | 96 |
2183032 | 2183032 | 2022-02-04 | York | Pennsylvania | 42133 | 115038 | 1393 |
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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);