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 2020-12-23 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips 67
- 42001 1
- 42003 1
- 42005 1
- 42007 1
- 42009 1
- 42011 1
- 42013 1
- 42015 1
- 42017 1
- 42019 1
- 42021 1
- 42023 1
- 42025 1
- 42027 1
- 42029 1
- 42031 1
- 42033 1
- 42035 1
- 42037 1
- 42039 1
- 42041 1
- 42043 1
- 42045 1
- 42047 1
- 42049 1
- 42051 1
- 42053 1
- 42055 1
- 42057 1
- 42059 1
- 42061 1
- 42063 1
- 42065 1
- 42067 1
- 42069 1
- 42071 1
- 42073 1
- 42075 1
- 42077 1
- 42079 1
- 42081 1
- 42083 1
- 42085 1
- 42087 1
- 42089 1
- 42091 1
- 42093 1
- 42095 1
- 42097 1
- 42099 1
- 42101 1
- 42103 1
- 42105 1
- 42107 1
- 42109 1
- 42111 1
- 42113 1
- 42115 1
- 42117 1
- 42119 1
- 42121 1
- 42123 1
- 42125 1
- 42127 1
- 42129 1
- 42131 1
- 42133 1
county 67
- Adams 1
- Allegheny 1
- Armstrong 1
- Beaver 1
- Bedford 1
- Berks 1
- Blair 1
- Bradford 1
- Bucks 1
- Butler 1
- Cambria 1
- Cameron 1
- Carbon 1
- Centre 1
- Chester 1
- Clarion 1
- Clearfield 1
- Clinton 1
- Columbia 1
- Crawford 1
- Cumberland 1
- Dauphin 1
- Delaware 1
- Elk 1
- Erie 1
- Fayette 1
- Forest 1
- Franklin 1
- Fulton 1
- Greene 1
- Huntingdon 1
- Indiana 1
- Jefferson 1
- Juniata 1
- Lackawanna 1
- Lancaster 1
- Lawrence 1
- Lebanon 1
- Lehigh 1
- Luzerne 1
- Lycoming 1
- McKean 1
- Mercer 1
- Mifflin 1
- Monroe 1
- Montgomery 1
- Montour 1
- Northampton 1
- Northumberland 1
- Perry 1
- Philadelphia 1
- Pike 1
- Potter 1
- Schuylkill 1
- Snyder 1
- Somerset 1
- Sullivan 1
- Susquehanna 1
- Tioga 1
- Union 1
- Venango 1
- Warren 1
- Washington 1
- Wayne 1
- Westmoreland 1
- Wyoming 1
- York 1
state 1
- Pennsylvania · 67 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
857794 | 857794 | 2020-12-23 | Adams | Pennsylvania | 42001 | 3889 | 68 |
857795 | 857795 | 2020-12-23 | Allegheny | Pennsylvania | 42003 | 48738 | 867 |
857796 | 857796 | 2020-12-23 | Armstrong | Pennsylvania | 42005 | 3016 | 63 |
857797 | 857797 | 2020-12-23 | Beaver | Pennsylvania | 42007 | 7702 | 227 |
857798 | 857798 | 2020-12-23 | Bedford | Pennsylvania | 42009 | 2752 | 83 |
857799 | 857799 | 2020-12-23 | Berks | Pennsylvania | 42011 | 21087 | 529 |
857800 | 857800 | 2020-12-23 | Blair | Pennsylvania | 42013 | 7277 | 155 |
857801 | 857801 | 2020-12-23 | Bradford | Pennsylvania | 42015 | 2826 | 50 |
857802 | 857802 | 2020-12-23 | Bucks | Pennsylvania | 42017 | 27796 | 854 |
857803 | 857803 | 2020-12-23 | Butler | Pennsylvania | 42019 | 8198 | 156 |
857804 | 857804 | 2020-12-23 | Cambria | Pennsylvania | 42021 | 8196 | 215 |
857805 | 857805 | 2020-12-23 | Cameron | Pennsylvania | 42023 | 125 | 1 |
857806 | 857806 | 2020-12-23 | Carbon | Pennsylvania | 42025 | 2369 | 87 |
857807 | 857807 | 2020-12-23 | Centre | Pennsylvania | 42027 | 8450 | 127 |
857808 | 857808 | 2020-12-23 | Chester | Pennsylvania | 42029 | 18562 | 466 |
857809 | 857809 | 2020-12-23 | Clarion | Pennsylvania | 42031 | 1850 | 34 |
857810 | 857810 | 2020-12-23 | Clearfield | Pennsylvania | 42033 | 3459 | 38 |
857811 | 857811 | 2020-12-23 | Clinton | Pennsylvania | 42035 | 1716 | 21 |
857812 | 857812 | 2020-12-23 | Columbia | Pennsylvania | 42037 | 2353 | 59 |
857813 | 857813 | 2020-12-23 | Crawford | Pennsylvania | 42039 | 4479 | 66 |
857814 | 857814 | 2020-12-23 | Cumberland | Pennsylvania | 42041 | 9402 | 268 |
857815 | 857815 | 2020-12-23 | Dauphin | Pennsylvania | 42043 | 12672 | 283 |
857816 | 857816 | 2020-12-23 | Delaware | Pennsylvania | 42045 | 27168 | 933 |
857817 | 857817 | 2020-12-23 | Elk | Pennsylvania | 42047 | 1207 | 13 |
857818 | 857818 | 2020-12-23 | Erie | Pennsylvania | 42049 | 10509 | 175 |
857819 | 857819 | 2020-12-23 | Fayette | Pennsylvania | 42051 | 6243 | 77 |
857820 | 857820 | 2020-12-23 | Forest | Pennsylvania | 42053 | 231 | 3 |
857821 | 857821 | 2020-12-23 | Franklin | Pennsylvania | 42055 | 7893 | 198 |
857822 | 857822 | 2020-12-23 | Fulton | Pennsylvania | 42057 | 615 | 8 |
857823 | 857823 | 2020-12-23 | Greene | Pennsylvania | 42059 | 1450 | 10 |
857824 | 857824 | 2020-12-23 | Huntingdon | Pennsylvania | 42061 | 2677 | 77 |
857825 | 857825 | 2020-12-23 | Indiana | Pennsylvania | 42063 | 3739 | 102 |
857826 | 857826 | 2020-12-23 | Jefferson | Pennsylvania | 42065 | 1711 | 31 |
857827 | 857827 | 2020-12-23 | Juniata | Pennsylvania | 42067 | 1237 | 36 |
857828 | 857828 | 2020-12-23 | Lackawanna | Pennsylvania | 42069 | 7740 | 260 |
857829 | 857829 | 2020-12-23 | Lancaster | Pennsylvania | 42071 | 25562 | 680 |
857830 | 857830 | 2020-12-23 | Lawrence | Pennsylvania | 42073 | 3862 | 115 |
857831 | 857831 | 2020-12-23 | Lebanon | Pennsylvania | 42075 | 8002 | 144 |
857832 | 857832 | 2020-12-23 | Lehigh | Pennsylvania | 42077 | 18177 | 460 |
857833 | 857833 | 2020-12-23 | Luzerne | Pennsylvania | 42079 | 15752 | 413 |
857834 | 857834 | 2020-12-23 | Lycoming | Pennsylvania | 42081 | 5230 | 103 |
857835 | 857835 | 2020-12-23 | McKean | Pennsylvania | 42083 | 1398 | 14 |
857836 | 857836 | 2020-12-23 | Mercer | Pennsylvania | 42085 | 5364 | 113 |
857837 | 857837 | 2020-12-23 | Mifflin | Pennsylvania | 42087 | 3171 | 102 |
857838 | 857838 | 2020-12-23 | Monroe | Pennsylvania | 42089 | 5444 | 189 |
857839 | 857839 | 2020-12-23 | Montgomery | Pennsylvania | 42091 | 32738 | 1082 |
857840 | 857840 | 2020-12-23 | Montour | Pennsylvania | 42093 | 1082 | 21 |
857841 | 857841 | 2020-12-23 | Northampton | Pennsylvania | 42095 | 14876 | 395 |
857842 | 857842 | 2020-12-23 | Northumberland | Pennsylvania | 42097 | 4376 | 199 |
857843 | 857843 | 2020-12-23 | Perry | Pennsylvania | 42099 | 1482 | 25 |
857844 | 857844 | 2020-12-23 | Philadelphia | Pennsylvania | 42101 | 89164 | 2348 |
857845 | 857845 | 2020-12-23 | Pike | Pennsylvania | 42103 | 1264 | 29 |
857846 | 857846 | 2020-12-23 | Potter | Pennsylvania | 42105 | 505 | 10 |
857847 | 857847 | 2020-12-23 | Schuylkill | Pennsylvania | 42107 | 6856 | 229 |
857848 | 857848 | 2020-12-23 | Snyder | Pennsylvania | 42109 | 1733 | 36 |
857849 | 857849 | 2020-12-23 | Somerset | Pennsylvania | 42111 | 4288 | 62 |
857850 | 857850 | 2020-12-23 | Sullivan | Pennsylvania | 42113 | 128 | 2 |
857851 | 857851 | 2020-12-23 | Susquehanna | Pennsylvania | 42115 | 903 | 37 |
857852 | 857852 | 2020-12-23 | Tioga | Pennsylvania | 42117 | 1801 | 48 |
857853 | 857853 | 2020-12-23 | Union | Pennsylvania | 42119 | 2622 | 29 |
857854 | 857854 | 2020-12-23 | Venango | Pennsylvania | 42121 | 2125 | 35 |
857855 | 857855 | 2020-12-23 | Warren | Pennsylvania | 42123 | 1249 | 21 |
857856 | 857856 | 2020-12-23 | Washington | Pennsylvania | 42125 | 7974 | 119 |
857857 | 857857 | 2020-12-23 | Wayne | Pennsylvania | 42127 | 1443 | 15 |
857858 | 857858 | 2020-12-23 | Westmoreland | Pennsylvania | 42129 | 17406 | 365 |
857859 | 857859 | 2020-12-23 | Wyoming | Pennsylvania | 42131 | 700 | 29 |
857860 | 857860 | 2020-12-23 | York | Pennsylvania | 42133 | 20897 | 361 |
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);