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 2020-04-13 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
55690 | 55690 | 2020-04-13 | Adams | Pennsylvania | 42001 | 56 | 1 |
55691 | 55691 | 2020-04-13 | Allegheny | Pennsylvania | 42003 | 876 | 21 |
55692 | 55692 | 2020-04-13 | Armstrong | Pennsylvania | 42005 | 28 | 1 |
55693 | 55693 | 2020-04-13 | Beaver | Pennsylvania | 42007 | 153 | 13 |
55694 | 55694 | 2020-04-13 | Bedford | Pennsylvania | 42009 | 5 | 1 |
55695 | 55695 | 2020-04-13 | Berks | Pennsylvania | 42011 | 1150 | 21 |
55696 | 55696 | 2020-04-13 | Blair | Pennsylvania | 42013 | 11 | 0 |
55697 | 55697 | 2020-04-13 | Bradford | Pennsylvania | 42015 | 19 | 0 |
55698 | 55698 | 2020-04-13 | Bucks | Pennsylvania | 42017 | 1273 | 41 |
55699 | 55699 | 2020-04-13 | Butler | Pennsylvania | 42019 | 143 | 4 |
55700 | 55700 | 2020-04-13 | Cambria | Pennsylvania | 42021 | 14 | 1 |
55701 | 55701 | 2020-04-13 | Cameron | Pennsylvania | 42023 | 1 | 0 |
55702 | 55702 | 2020-04-13 | Carbon | Pennsylvania | 42025 | 102 | 3 |
55703 | 55703 | 2020-04-13 | Centre | Pennsylvania | 42027 | 70 | 0 |
55704 | 55704 | 2020-04-13 | Chester | Pennsylvania | 42029 | 593 | 17 |
55705 | 55705 | 2020-04-13 | Clarion | Pennsylvania | 42031 | 16 | 0 |
55706 | 55706 | 2020-04-13 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
55707 | 55707 | 2020-04-13 | Clinton | Pennsylvania | 42035 | 8 | 0 |
55708 | 55708 | 2020-04-13 | Columbia | Pennsylvania | 42037 | 113 | 3 |
55709 | 55709 | 2020-04-13 | Crawford | Pennsylvania | 42039 | 16 | 0 |
55710 | 55710 | 2020-04-13 | Cumberland | Pennsylvania | 42041 | 122 | 3 |
55711 | 55711 | 2020-04-13 | Dauphin | Pennsylvania | 42043 | 240 | 4 |
55712 | 55712 | 2020-04-13 | Delaware | Pennsylvania | 42045 | 1712 | 40 |
55713 | 55713 | 2020-04-13 | Elk | Pennsylvania | 42047 | 2 | 0 |
55714 | 55714 | 2020-04-13 | Erie | Pennsylvania | 42049 | 39 | 1 |
55715 | 55715 | 2020-04-13 | Fayette | Pennsylvania | 42051 | 57 | 3 |
55716 | 55716 | 2020-04-13 | Forest | Pennsylvania | 42053 | 5 | 0 |
55717 | 55717 | 2020-04-13 | Franklin | Pennsylvania | 42055 | 66 | 0 |
55718 | 55718 | 2020-04-13 | Fulton | Pennsylvania | 42057 | 1 | 0 |
55719 | 55719 | 2020-04-13 | Greene | Pennsylvania | 42059 | 23 | 0 |
55720 | 55720 | 2020-04-13 | Huntingdon | Pennsylvania | 42061 | 11 | 0 |
55721 | 55721 | 2020-04-13 | Indiana | Pennsylvania | 42063 | 43 | 0 |
55722 | 55722 | 2020-04-13 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
55723 | 55723 | 2020-04-13 | Juniata | Pennsylvania | 42067 | 39 | 0 |
55724 | 55724 | 2020-04-13 | Lackawanna | Pennsylvania | 42069 | 459 | 21 |
55725 | 55725 | 2020-04-13 | Lancaster | Pennsylvania | 42071 | 828 | 24 |
55726 | 55726 | 2020-04-13 | Lawrence | Pennsylvania | 42073 | 51 | 4 |
55727 | 55727 | 2020-04-13 | Lebanon | Pennsylvania | 42075 | 284 | 2 |
55728 | 55728 | 2020-04-13 | Lehigh | Pennsylvania | 42077 | 1747 | 19 |
55729 | 55729 | 2020-04-13 | Luzerne | Pennsylvania | 42079 | 1446 | 21 |
55730 | 55730 | 2020-04-13 | Lycoming | Pennsylvania | 42081 | 28 | 0 |
55731 | 55731 | 2020-04-13 | McKean | Pennsylvania | 42083 | 3 | 0 |
55732 | 55732 | 2020-04-13 | Mercer | Pennsylvania | 42085 | 43 | 0 |
55733 | 55733 | 2020-04-13 | Mifflin | Pennsylvania | 42087 | 17 | 0 |
55734 | 55734 | 2020-04-13 | Monroe | Pennsylvania | 42089 | 816 | 24 |
55735 | 55735 | 2020-04-13 | Montgomery | Pennsylvania | 42091 | 2285 | 91 |
55736 | 55736 | 2020-04-13 | Montour | Pennsylvania | 42093 | 39 | 0 |
55737 | 55737 | 2020-04-13 | Northampton | Pennsylvania | 42095 | 1130 | 23 |
55738 | 55738 | 2020-04-13 | Northumberland | Pennsylvania | 42097 | 40 | 0 |
55739 | 55739 | 2020-04-13 | Perry | Pennsylvania | 42099 | 17 | 1 |
55740 | 55740 | 2020-04-13 | Philadelphia | Pennsylvania | 42101 | 6810 | 127 |
55741 | 55741 | 2020-04-13 | Pike | Pennsylvania | 42103 | 221 | 6 |
55742 | 55742 | 2020-04-13 | Potter | Pennsylvania | 42105 | 4 | 0 |
55743 | 55743 | 2020-04-13 | Schuylkill | Pennsylvania | 42107 | 192 | 2 |
55744 | 55744 | 2020-04-13 | Snyder | Pennsylvania | 42109 | 23 | 1 |
55745 | 55745 | 2020-04-13 | Somerset | Pennsylvania | 42111 | 13 | 0 |
55746 | 55746 | 2020-04-13 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
55747 | 55747 | 2020-04-13 | Susquehanna | Pennsylvania | 42115 | 31 | 1 |
55748 | 55748 | 2020-04-13 | Tioga | Pennsylvania | 42117 | 14 | 1 |
55749 | 55749 | 2020-04-13 | Union | Pennsylvania | 42119 | 21 | 0 |
55750 | 55750 | 2020-04-13 | Venango | Pennsylvania | 42121 | 6 | 0 |
55751 | 55751 | 2020-04-13 | Warren | Pennsylvania | 42123 | 1 | 0 |
55752 | 55752 | 2020-04-13 | Washington | Pennsylvania | 42125 | 69 | 0 |
55753 | 55753 | 2020-04-13 | Wayne | Pennsylvania | 42127 | 67 | 1 |
55754 | 55754 | 2020-04-13 | Westmoreland | Pennsylvania | 42129 | 228 | 13 |
55755 | 55755 | 2020-04-13 | Wyoming | Pennsylvania | 42131 | 12 | 0 |
55756 | 55756 | 2020-04-13 | York | Pennsylvania | 42133 | 331 | 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);