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 2020-08-03 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
397827 | 397827 | 2020-08-03 | Adams | Pennsylvania | 42001 | 480 | 20 |
397828 | 397828 | 2020-08-03 | Allegheny | Pennsylvania | 42003 | 8310 | 242 |
397829 | 397829 | 2020-08-03 | Armstrong | Pennsylvania | 42005 | 188 | 6 |
397830 | 397830 | 2020-08-03 | Beaver | Pennsylvania | 42007 | 1237 | 89 |
397831 | 397831 | 2020-08-03 | Bedford | Pennsylvania | 42009 | 130 | 4 |
397832 | 397832 | 2020-08-03 | Berks | Pennsylvania | 42011 | 5218 | 365 |
397833 | 397833 | 2020-08-03 | Blair | Pennsylvania | 42013 | 233 | 3 |
397834 | 397834 | 2020-08-03 | Bradford | Pennsylvania | 42015 | 82 | 3 |
397835 | 397835 | 2020-08-03 | Bucks | Pennsylvania | 42017 | 7020 | 579 |
397836 | 397836 | 2020-08-03 | Butler | Pennsylvania | 42019 | 605 | 15 |
397837 | 397837 | 2020-08-03 | Cambria | Pennsylvania | 42021 | 274 | 3 |
397838 | 397838 | 2020-08-03 | Cameron | Pennsylvania | 42023 | 6 | 0 |
397839 | 397839 | 2020-08-03 | Carbon | Pennsylvania | 42025 | 360 | 28 |
397840 | 397840 | 2020-08-03 | Centre | Pennsylvania | 42027 | 358 | 10 |
397841 | 397841 | 2020-08-03 | Chester | Pennsylvania | 42029 | 4965 | 348 |
397842 | 397842 | 2020-08-03 | Clarion | Pennsylvania | 42031 | 76 | 2 |
397843 | 397843 | 2020-08-03 | Clearfield | Pennsylvania | 42033 | 141 | 0 |
397844 | 397844 | 2020-08-03 | Clinton | Pennsylvania | 42035 | 115 | 5 |
397845 | 397845 | 2020-08-03 | Columbia | Pennsylvania | 42037 | 462 | 35 |
397846 | 397846 | 2020-08-03 | Crawford | Pennsylvania | 42039 | 132 | 1 |
397847 | 397847 | 2020-08-03 | Cumberland | Pennsylvania | 42041 | 1230 | 70 |
397848 | 397848 | 2020-08-03 | Dauphin | Pennsylvania | 42043 | 2682 | 155 |
397849 | 397849 | 2020-08-03 | Delaware | Pennsylvania | 42045 | 8902 | 731 |
397850 | 397850 | 2020-08-03 | Elk | Pennsylvania | 42047 | 45 | 2 |
397851 | 397851 | 2020-08-03 | Erie | Pennsylvania | 42049 | 983 | 16 |
397852 | 397852 | 2020-08-03 | Fayette | Pennsylvania | 42051 | 414 | 4 |
397853 | 397853 | 2020-08-03 | Forest | Pennsylvania | 42053 | 9 | 0 |
397854 | 397854 | 2020-08-03 | Franklin | Pennsylvania | 42055 | 1284 | 46 |
397855 | 397855 | 2020-08-03 | Fulton | Pennsylvania | 42057 | 24 | 2 |
397856 | 397856 | 2020-08-03 | Greene | Pennsylvania | 42059 | 109 | 1 |
397857 | 397857 | 2020-08-03 | Huntingdon | Pennsylvania | 42061 | 290 | 4 |
397858 | 397858 | 2020-08-03 | Indiana | Pennsylvania | 42063 | 275 | 6 |
397859 | 397859 | 2020-08-03 | Jefferson | Pennsylvania | 42065 | 58 | 1 |
397860 | 397860 | 2020-08-03 | Juniata | Pennsylvania | 42067 | 127 | 6 |
397861 | 397861 | 2020-08-03 | Lackawanna | Pennsylvania | 42069 | 1901 | 212 |
397862 | 397862 | 2020-08-03 | Lancaster | Pennsylvania | 42071 | 5682 | 407 |
397863 | 397863 | 2020-08-03 | Lawrence | Pennsylvania | 42073 | 349 | 12 |
397864 | 397864 | 2020-08-03 | Lebanon | Pennsylvania | 42075 | 1577 | 54 |
397865 | 397865 | 2020-08-03 | Lehigh | Pennsylvania | 42077 | 4853 | 335 |
397866 | 397866 | 2020-08-03 | Luzerne | Pennsylvania | 42079 | 3338 | 183 |
397867 | 397867 | 2020-08-03 | Lycoming | Pennsylvania | 42081 | 339 | 20 |
397868 | 397868 | 2020-08-03 | McKean | Pennsylvania | 42083 | 33 | 1 |
397869 | 397869 | 2020-08-03 | Mercer | Pennsylvania | 42085 | 356 | 9 |
397870 | 397870 | 2020-08-03 | Mifflin | Pennsylvania | 42087 | 109 | 1 |
397871 | 397871 | 2020-08-03 | Monroe | Pennsylvania | 42089 | 1598 | 123 |
397872 | 397872 | 2020-08-03 | Montgomery | Pennsylvania | 42091 | 9870 | 850 |
397873 | 397873 | 2020-08-03 | Montour | Pennsylvania | 42093 | 93 | 3 |
397874 | 397874 | 2020-08-03 | Northampton | Pennsylvania | 42095 | 3863 | 290 |
397875 | 397875 | 2020-08-03 | Northumberland | Pennsylvania | 42097 | 407 | 11 |
397876 | 397876 | 2020-08-03 | Perry | Pennsylvania | 42099 | 120 | 5 |
397877 | 397877 | 2020-08-03 | Philadelphia | Pennsylvania | 42101 | 30665 | 1692 |
397878 | 397878 | 2020-08-03 | Pike | Pennsylvania | 42103 | 526 | 21 |
397879 | 397879 | 2020-08-03 | Potter | Pennsylvania | 42105 | 20 | 0 |
397880 | 397880 | 2020-08-03 | Schuylkill | Pennsylvania | 42107 | 896 | 49 |
397881 | 397881 | 2020-08-03 | Snyder | Pennsylvania | 42109 | 98 | 2 |
397882 | 397882 | 2020-08-03 | Somerset | Pennsylvania | 42111 | 125 | 2 |
397883 | 397883 | 2020-08-03 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
397884 | 397884 | 2020-08-03 | Susquehanna | Pennsylvania | 42115 | 210 | 26 |
397885 | 397885 | 2020-08-03 | Tioga | Pennsylvania | 42117 | 35 | 2 |
397886 | 397886 | 2020-08-03 | Union | Pennsylvania | 42119 | 173 | 2 |
397887 | 397887 | 2020-08-03 | Venango | Pennsylvania | 42121 | 62 | 0 |
397888 | 397888 | 2020-08-03 | Warren | Pennsylvania | 42123 | 19 | 1 |
397889 | 397889 | 2020-08-03 | Washington | Pennsylvania | 42125 | 764 | 11 |
397890 | 397890 | 2020-08-03 | Wayne | Pennsylvania | 42127 | 158 | 8 |
397891 | 397891 | 2020-08-03 | Westmoreland | Pennsylvania | 42129 | 1457 | 46 |
397892 | 397892 | 2020-08-03 | Wyoming | Pennsylvania | 42131 | 57 | 8 |
397893 | 397893 | 2020-08-03 | York | Pennsylvania | 42133 | 2350 | 88 |
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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);