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 2020-05-02 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
108783 | 108783 | 2020-05-02 | Adams | Pennsylvania | 42001 | 141 | 4 |
108784 | 108784 | 2020-05-02 | Allegheny | Pennsylvania | 42003 | 1333 | 102 |
108785 | 108785 | 2020-05-02 | Armstrong | Pennsylvania | 42005 | 52 | 2 |
108786 | 108786 | 2020-05-02 | Beaver | Pennsylvania | 42007 | 435 | 68 |
108787 | 108787 | 2020-05-02 | Bedford | Pennsylvania | 42009 | 24 | 1 |
108788 | 108788 | 2020-05-02 | Berks | Pennsylvania | 42011 | 2810 | 118 |
108789 | 108789 | 2020-05-02 | Blair | Pennsylvania | 42013 | 23 | 0 |
108790 | 108790 | 2020-05-02 | Bradford | Pennsylvania | 42015 | 35 | 5 |
108791 | 108791 | 2020-05-02 | Bucks | Pennsylvania | 42017 | 3270 | 237 |
108792 | 108792 | 2020-05-02 | Butler | Pennsylvania | 42019 | 180 | 6 |
108793 | 108793 | 2020-05-02 | Cambria | Pennsylvania | 42021 | 32 | 2 |
108794 | 108794 | 2020-05-02 | Cameron | Pennsylvania | 42023 | 1 | 0 |
108795 | 108795 | 2020-05-02 | Carbon | Pennsylvania | 42025 | 182 | 15 |
108796 | 108796 | 2020-05-02 | Centre | Pennsylvania | 42027 | 96 | 2 |
108797 | 108797 | 2020-05-02 | Chester | Pennsylvania | 42029 | 1514 | 117 |
108798 | 108798 | 2020-05-02 | Clarion | Pennsylvania | 42031 | 23 | 1 |
108799 | 108799 | 2020-05-02 | Clearfield | Pennsylvania | 42033 | 16 | 0 |
108800 | 108800 | 2020-05-02 | Clinton | Pennsylvania | 42035 | 34 | 0 |
108801 | 108801 | 2020-05-02 | Columbia | Pennsylvania | 42037 | 290 | 14 |
108802 | 108802 | 2020-05-02 | Crawford | Pennsylvania | 42039 | 19 | 0 |
108803 | 108803 | 2020-05-02 | Cumberland | Pennsylvania | 42041 | 365 | 17 |
108804 | 108804 | 2020-05-02 | Dauphin | Pennsylvania | 42043 | 617 | 25 |
108805 | 108805 | 2020-05-02 | Delaware | Pennsylvania | 42045 | 4053 | 255 |
108806 | 108806 | 2020-05-02 | Elk | Pennsylvania | 42047 | 4 | 0 |
108807 | 108807 | 2020-05-02 | Erie | Pennsylvania | 42049 | 90 | 2 |
108808 | 108808 | 2020-05-02 | Fayette | Pennsylvania | 42051 | 82 | 4 |
108809 | 108809 | 2020-05-02 | Forest | Pennsylvania | 42053 | 7 | 0 |
108810 | 108810 | 2020-05-02 | Franklin | Pennsylvania | 42055 | 325 | 10 |
108811 | 108811 | 2020-05-02 | Fulton | Pennsylvania | 42057 | 6 | 0 |
108812 | 108812 | 2020-05-02 | Greene | Pennsylvania | 42059 | 27 | 0 |
108813 | 108813 | 2020-05-02 | Huntingdon | Pennsylvania | 42061 | 48 | 0 |
108814 | 108814 | 2020-05-02 | Indiana | Pennsylvania | 42063 | 63 | 4 |
108815 | 108815 | 2020-05-02 | Jefferson | Pennsylvania | 42065 | 6 | 0 |
108816 | 108816 | 2020-05-02 | Juniata | Pennsylvania | 42067 | 84 | 1 |
108817 | 108817 | 2020-05-02 | Lackawanna | Pennsylvania | 42069 | 968 | 83 |
108818 | 108818 | 2020-05-02 | Lancaster | Pennsylvania | 42071 | 1904 | 188 |
108819 | 108819 | 2020-05-02 | Lawrence | Pennsylvania | 42073 | 65 | 6 |
108820 | 108820 | 2020-05-02 | Lebanon | Pennsylvania | 42075 | 710 | 10 |
108821 | 108821 | 2020-05-02 | Lehigh | Pennsylvania | 42077 | 2896 | 83 |
108822 | 108822 | 2020-05-02 | Luzerne | Pennsylvania | 42079 | 2211 | 97 |
108823 | 108823 | 2020-05-02 | Lycoming | Pennsylvania | 42081 | 81 | 2 |
108824 | 108824 | 2020-05-02 | McKean | Pennsylvania | 42083 | 6 | 0 |
108825 | 108825 | 2020-05-02 | Mercer | Pennsylvania | 42085 | 66 | 1 |
108826 | 108826 | 2020-05-02 | Mifflin | Pennsylvania | 42087 | 38 | 0 |
108827 | 108827 | 2020-05-02 | Monroe | Pennsylvania | 42089 | 1165 | 55 |
108828 | 108828 | 2020-05-02 | Montgomery | Pennsylvania | 42091 | 4487 | 369 |
108829 | 108829 | 2020-05-02 | Montour | Pennsylvania | 42093 | 49 | 0 |
108830 | 108830 | 2020-05-02 | Northampton | Pennsylvania | 42095 | 2182 | 94 |
108831 | 108831 | 2020-05-02 | Northumberland | Pennsylvania | 42097 | 98 | 0 |
108832 | 108832 | 2020-05-02 | Perry | Pennsylvania | 42099 | 33 | 1 |
108833 | 108833 | 2020-05-02 | Philadelphia | Pennsylvania | 42101 | 15527 | 705 |
108834 | 108834 | 2020-05-02 | Pike | Pennsylvania | 42103 | 394 | 15 |
108835 | 108835 | 2020-05-02 | Potter | Pennsylvania | 42105 | 4 | 0 |
108836 | 108836 | 2020-05-02 | Schuylkill | Pennsylvania | 42107 | 384 | 7 |
108837 | 108837 | 2020-05-02 | Snyder | Pennsylvania | 42109 | 33 | 1 |
108838 | 108838 | 2020-05-02 | Somerset | Pennsylvania | 42111 | 29 | 1 |
108839 | 108839 | 2020-05-02 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
108840 | 108840 | 2020-05-02 | Susquehanna | Pennsylvania | 42115 | 84 | 9 |
108841 | 108841 | 2020-05-02 | Tioga | Pennsylvania | 42117 | 16 | 2 |
108842 | 108842 | 2020-05-02 | Union | Pennsylvania | 42119 | 38 | 0 |
108843 | 108843 | 2020-05-02 | Venango | Pennsylvania | 42121 | 7 | 0 |
108844 | 108844 | 2020-05-02 | Warren | Pennsylvania | 42123 | 1 | 1 |
108845 | 108845 | 2020-05-02 | Washington | Pennsylvania | 42125 | 118 | 2 |
108846 | 108846 | 2020-05-02 | Wayne | Pennsylvania | 42127 | 104 | 5 |
108847 | 108847 | 2020-05-02 | Westmoreland | Pennsylvania | 42129 | 396 | 30 |
108848 | 108848 | 2020-05-02 | Wyoming | Pennsylvania | 42131 | 25 | 2 |
108849 | 108849 | 2020-05-02 | York | Pennsylvania | 42133 | 664 | 13 |
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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);