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 2020-09-03 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
497860 | 497860 | 2020-09-03 | Adams | Pennsylvania | 42001 | 686 | 23 |
497861 | 497861 | 2020-09-03 | Allegheny | Pennsylvania | 42003 | 10549 | 344 |
497862 | 497862 | 2020-09-03 | Armstrong | Pennsylvania | 42005 | 341 | 10 |
497863 | 497863 | 2020-09-03 | Beaver | Pennsylvania | 42007 | 1653 | 99 |
497864 | 497864 | 2020-09-03 | Bedford | Pennsylvania | 42009 | 176 | 5 |
497865 | 497865 | 2020-09-03 | Berks | Pennsylvania | 42011 | 6174 | 382 |
497866 | 497866 | 2020-09-03 | Blair | Pennsylvania | 42013 | 472 | 12 |
497867 | 497867 | 2020-09-03 | Bradford | Pennsylvania | 42015 | 99 | 3 |
497868 | 497868 | 2020-09-03 | Bucks | Pennsylvania | 42017 | 7899 | 588 |
497869 | 497869 | 2020-09-03 | Butler | Pennsylvania | 42019 | 821 | 19 |
497870 | 497870 | 2020-09-03 | Cambria | Pennsylvania | 42021 | 480 | 6 |
497871 | 497871 | 2020-09-03 | Cameron | Pennsylvania | 42023 | 8 | 0 |
497872 | 497872 | 2020-09-03 | Carbon | Pennsylvania | 42025 | 425 | 28 |
497873 | 497873 | 2020-09-03 | Centre | Pennsylvania | 42027 | 578 | 11 |
497874 | 497874 | 2020-09-03 | Chester | Pennsylvania | 42029 | 5748 | 358 |
497875 | 497875 | 2020-09-03 | Clarion | Pennsylvania | 42031 | 98 | 3 |
497876 | 497876 | 2020-09-03 | Clearfield | Pennsylvania | 42033 | 237 | 1 |
497877 | 497877 | 2020-09-03 | Clinton | Pennsylvania | 42035 | 147 | 5 |
497878 | 497878 | 2020-09-03 | Columbia | Pennsylvania | 42037 | 728 | 35 |
497879 | 497879 | 2020-09-03 | Crawford | Pennsylvania | 42039 | 220 | 2 |
497880 | 497880 | 2020-09-03 | Cumberland | Pennsylvania | 42041 | 1563 | 72 |
497881 | 497881 | 2020-09-03 | Dauphin | Pennsylvania | 42043 | 3393 | 165 |
497882 | 497882 | 2020-09-03 | Delaware | Pennsylvania | 42045 | 10524 | 774 |
497883 | 497883 | 2020-09-03 | Elk | Pennsylvania | 42047 | 64 | 2 |
497884 | 497884 | 2020-09-03 | Erie | Pennsylvania | 42049 | 1370 | 35 |
497885 | 497885 | 2020-09-03 | Fayette | Pennsylvania | 42051 | 703 | 6 |
497886 | 497886 | 2020-09-03 | Forest | Pennsylvania | 42053 | 14 | 0 |
497887 | 497887 | 2020-09-03 | Franklin | Pennsylvania | 42055 | 1550 | 47 |
497888 | 497888 | 2020-09-03 | Fulton | Pennsylvania | 42057 | 36 | 2 |
497889 | 497889 | 2020-09-03 | Greene | Pennsylvania | 42059 | 145 | 1 |
497890 | 497890 | 2020-09-03 | Huntingdon | Pennsylvania | 42061 | 377 | 5 |
497891 | 497891 | 2020-09-03 | Indiana | Pennsylvania | 42063 | 445 | 10 |
497892 | 497892 | 2020-09-03 | Jefferson | Pennsylvania | 42065 | 98 | 1 |
497893 | 497893 | 2020-09-03 | Juniata | Pennsylvania | 42067 | 151 | 6 |
497894 | 497894 | 2020-09-03 | Lackawanna | Pennsylvania | 42069 | 2129 | 214 |
497895 | 497895 | 2020-09-03 | Lancaster | Pennsylvania | 42071 | 6919 | 435 |
497896 | 497896 | 2020-09-03 | Lawrence | Pennsylvania | 42073 | 468 | 18 |
497897 | 497897 | 2020-09-03 | Lebanon | Pennsylvania | 42075 | 1742 | 57 |
497898 | 497898 | 2020-09-03 | Lehigh | Pennsylvania | 42077 | 5244 | 344 |
497899 | 497899 | 2020-09-03 | Luzerne | Pennsylvania | 42079 | 3818 | 188 |
497900 | 497900 | 2020-09-03 | Lycoming | Pennsylvania | 42081 | 538 | 23 |
497901 | 497901 | 2020-09-03 | McKean | Pennsylvania | 42083 | 41 | 2 |
497902 | 497902 | 2020-09-03 | Mercer | Pennsylvania | 42085 | 560 | 13 |
497903 | 497903 | 2020-09-03 | Mifflin | Pennsylvania | 42087 | 166 | 1 |
497904 | 497904 | 2020-09-03 | Monroe | Pennsylvania | 42089 | 1730 | 129 |
497905 | 497905 | 2020-09-03 | Montgomery | Pennsylvania | 42091 | 11189 | 863 |
497906 | 497906 | 2020-09-03 | Montour | Pennsylvania | 42093 | 139 | 5 |
497907 | 497907 | 2020-09-03 | Northampton | Pennsylvania | 42095 | 4134 | 301 |
497908 | 497908 | 2020-09-03 | Northumberland | Pennsylvania | 42097 | 732 | 38 |
497909 | 497909 | 2020-09-03 | Perry | Pennsylvania | 42099 | 178 | 5 |
497910 | 497910 | 2020-09-03 | Philadelphia | Pennsylvania | 42101 | 34311 | 1771 |
497911 | 497911 | 2020-09-03 | Pike | Pennsylvania | 42103 | 543 | 21 |
497912 | 497912 | 2020-09-03 | Potter | Pennsylvania | 42105 | 25 | 0 |
497913 | 497913 | 2020-09-03 | Schuylkill | Pennsylvania | 42107 | 995 | 51 |
497914 | 497914 | 2020-09-03 | Snyder | Pennsylvania | 42109 | 170 | 3 |
497915 | 497915 | 2020-09-03 | Somerset | Pennsylvania | 42111 | 174 | 3 |
497916 | 497916 | 2020-09-03 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
497917 | 497917 | 2020-09-03 | Susquehanna | Pennsylvania | 42115 | 274 | 27 |
497918 | 497918 | 2020-09-03 | Tioga | Pennsylvania | 42117 | 48 | 3 |
497919 | 497919 | 2020-09-03 | Union | Pennsylvania | 42119 | 397 | 6 |
497920 | 497920 | 2020-09-03 | Venango | Pennsylvania | 42121 | 72 | 1 |
497921 | 497921 | 2020-09-03 | Warren | Pennsylvania | 42123 | 34 | 1 |
497922 | 497922 | 2020-09-03 | Washington | Pennsylvania | 42125 | 1108 | 28 |
497923 | 497923 | 2020-09-03 | Wayne | Pennsylvania | 42127 | 181 | 10 |
497924 | 497924 | 2020-09-03 | Westmoreland | Pennsylvania | 42129 | 1851 | 49 |
497925 | 497925 | 2020-09-03 | Wyoming | Pennsylvania | 42131 | 68 | 8 |
497926 | 497926 | 2020-09-03 | York | Pennsylvania | 42133 | 3618 | 127 |
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);