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 2020-04-10 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
47675 | 47675 | 2020-04-10 | Adams | Pennsylvania | 42001 | 43 | 1 |
47676 | 47676 | 2020-04-10 | Allegheny | Pennsylvania | 42003 | 788 | 18 |
47677 | 47677 | 2020-04-10 | Armstrong | Pennsylvania | 42005 | 22 | 0 |
47678 | 47678 | 2020-04-10 | Beaver | Pennsylvania | 42007 | 139 | 13 |
47679 | 47679 | 2020-04-10 | Bedford | Pennsylvania | 42009 | 3 | 0 |
47680 | 47680 | 2020-04-10 | Berks | Pennsylvania | 42011 | 720 | 12 |
47681 | 47681 | 2020-04-10 | Blair | Pennsylvania | 42013 | 9 | 0 |
47682 | 47682 | 2020-04-10 | Bradford | Pennsylvania | 42015 | 16 | 0 |
47683 | 47683 | 2020-04-10 | Bucks | Pennsylvania | 42017 | 1107 | 32 |
47684 | 47684 | 2020-04-10 | Butler | Pennsylvania | 42019 | 123 | 3 |
47685 | 47685 | 2020-04-10 | Cambria | Pennsylvania | 42021 | 11 | 1 |
47686 | 47686 | 2020-04-10 | Cameron | Pennsylvania | 42023 | 1 | 0 |
47687 | 47687 | 2020-04-10 | Carbon | Pennsylvania | 42025 | 93 | 3 |
47688 | 47688 | 2020-04-10 | Centre | Pennsylvania | 42027 | 61 | 0 |
47689 | 47689 | 2020-04-10 | Chester | Pennsylvania | 42029 | 485 | 9 |
47690 | 47690 | 2020-04-10 | Clarion | Pennsylvania | 42031 | 10 | 0 |
47691 | 47691 | 2020-04-10 | Clearfield | Pennsylvania | 42033 | 8 | 0 |
47692 | 47692 | 2020-04-10 | Clinton | Pennsylvania | 42035 | 6 | 0 |
47693 | 47693 | 2020-04-10 | Columbia | Pennsylvania | 42037 | 81 | 2 |
47694 | 47694 | 2020-04-10 | Crawford | Pennsylvania | 42039 | 13 | 0 |
47695 | 47695 | 2020-04-10 | Cumberland | Pennsylvania | 42041 | 96 | 2 |
47696 | 47696 | 2020-04-10 | Dauphin | Pennsylvania | 42043 | 199 | 2 |
47697 | 47697 | 2020-04-10 | Delaware | Pennsylvania | 42045 | 1377 | 30 |
47698 | 47698 | 2020-04-10 | Elk | Pennsylvania | 42047 | 2 | 0 |
47699 | 47699 | 2020-04-10 | Erie | Pennsylvania | 42049 | 36 | 1 |
47700 | 47700 | 2020-04-10 | Fayette | Pennsylvania | 42051 | 49 | 1 |
47701 | 47701 | 2020-04-10 | Forest | Pennsylvania | 42053 | 5 | 0 |
47702 | 47702 | 2020-04-10 | Franklin | Pennsylvania | 42055 | 57 | 0 |
47703 | 47703 | 2020-04-10 | Fulton | Pennsylvania | 42057 | 1 | 0 |
47704 | 47704 | 2020-04-10 | Greene | Pennsylvania | 42059 | 21 | 0 |
47705 | 47705 | 2020-04-10 | Huntingdon | Pennsylvania | 42061 | 8 | 0 |
47706 | 47706 | 2020-04-10 | Indiana | Pennsylvania | 42063 | 26 | 0 |
47707 | 47707 | 2020-04-10 | Jefferson | Pennsylvania | 42065 | 1 | 0 |
47708 | 47708 | 2020-04-10 | Juniata | Pennsylvania | 42067 | 30 | 0 |
47709 | 47709 | 2020-04-10 | Lackawanna | Pennsylvania | 42069 | 346 | 18 |
47710 | 47710 | 2020-04-10 | Lancaster | Pennsylvania | 42071 | 648 | 21 |
47711 | 47711 | 2020-04-10 | Lawrence | Pennsylvania | 42073 | 45 | 3 |
47712 | 47712 | 2020-04-10 | Lebanon | Pennsylvania | 42075 | 218 | 1 |
47713 | 47713 | 2020-04-10 | Lehigh | Pennsylvania | 42077 | 1562 | 16 |
47714 | 47714 | 2020-04-10 | Luzerne | Pennsylvania | 42079 | 1325 | 15 |
47715 | 47715 | 2020-04-10 | Lycoming | Pennsylvania | 42081 | 18 | 0 |
47716 | 47716 | 2020-04-10 | McKean | Pennsylvania | 42083 | 1 | 0 |
47717 | 47717 | 2020-04-10 | Mercer | Pennsylvania | 42085 | 36 | 0 |
47718 | 47718 | 2020-04-10 | Mifflin | Pennsylvania | 42087 | 11 | 0 |
47719 | 47719 | 2020-04-10 | Monroe | Pennsylvania | 42089 | 752 | 19 |
47720 | 47720 | 2020-04-10 | Montgomery | Pennsylvania | 42091 | 1889 | 62 |
47721 | 47721 | 2020-04-10 | Montour | Pennsylvania | 42093 | 29 | 0 |
47722 | 47722 | 2020-04-10 | Northampton | Pennsylvania | 42095 | 994 | 21 |
47723 | 47723 | 2020-04-10 | Northumberland | Pennsylvania | 42097 | 29 | 0 |
47724 | 47724 | 2020-04-10 | Perry | Pennsylvania | 42099 | 16 | 1 |
47725 | 47725 | 2020-04-10 | Philadelphia | Pennsylvania | 42101 | 5521 | 110 |
47726 | 47726 | 2020-04-10 | Pike | Pennsylvania | 42103 | 190 | 6 |
47727 | 47727 | 2020-04-10 | Potter | Pennsylvania | 42105 | 3 | 0 |
47728 | 47728 | 2020-04-10 | Schuylkill | Pennsylvania | 42107 | 164 | 1 |
47729 | 47729 | 2020-04-10 | Snyder | Pennsylvania | 42109 | 12 | 1 |
47730 | 47730 | 2020-04-10 | Somerset | Pennsylvania | 42111 | 10 | 0 |
47731 | 47731 | 2020-04-10 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
47732 | 47732 | 2020-04-10 | Susquehanna | Pennsylvania | 42115 | 22 | 2 |
47733 | 47733 | 2020-04-10 | Tioga | Pennsylvania | 42117 | 11 | 0 |
47734 | 47734 | 2020-04-10 | Union | Pennsylvania | 42119 | 12 | 0 |
47735 | 47735 | 2020-04-10 | Venango | Pennsylvania | 42121 | 5 | 0 |
47736 | 47736 | 2020-04-10 | Warren | Pennsylvania | 42123 | 1 | 0 |
47737 | 47737 | 2020-04-10 | Washington | Pennsylvania | 42125 | 66 | 0 |
47738 | 47738 | 2020-04-10 | Wayne | Pennsylvania | 42127 | 53 | 0 |
47739 | 47739 | 2020-04-10 | Westmoreland | Pennsylvania | 42129 | 202 | 5 |
47740 | 47740 | 2020-04-10 | Wyoming | Pennsylvania | 42131 | 6 | 0 |
47741 | 47741 | 2020-04-10 | York | Pennsylvania | 42133 | 283 | 3 |
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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);