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 2021-04-24 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 |
---|---|---|---|---|---|---|---|
1253831 | 1253831 | 2021-04-24 | Adams | Pennsylvania | 42001 | 8938 | 169 |
1253832 | 1253832 | 2021-04-24 | Allegheny | Pennsylvania | 42003 | 95857 | 1883 |
1253833 | 1253833 | 2021-04-24 | Armstrong | Pennsylvania | 42005 | 5633 | 130 |
1253834 | 1253834 | 2021-04-24 | Beaver | Pennsylvania | 42007 | 14499 | 373 |
1253835 | 1253835 | 2021-04-24 | Bedford | Pennsylvania | 42009 | 4275 | 131 |
1253836 | 1253836 | 2021-04-24 | Berks | Pennsylvania | 42011 | 44497 | 979 |
1253837 | 1253837 | 2021-04-24 | Blair | Pennsylvania | 42013 | 12274 | 319 |
1253838 | 1253838 | 2021-04-24 | Bradford | Pennsylvania | 42015 | 5534 | 86 |
1253839 | 1253839 | 2021-04-24 | Bucks | Pennsylvania | 42017 | 57375 | 1230 |
1253840 | 1253840 | 2021-04-24 | Butler | Pennsylvania | 42019 | 16524 | 402 |
1253841 | 1253841 | 2021-04-24 | Cambria | Pennsylvania | 42021 | 13454 | 415 |
1253842 | 1253842 | 2021-04-24 | Cameron | Pennsylvania | 42023 | 286 | 7 |
1253843 | 1253843 | 2021-04-24 | Carbon | Pennsylvania | 42025 | 5962 | 164 |
1253844 | 1253844 | 2021-04-24 | Centre | Pennsylvania | 42027 | 16072 | 219 |
1253845 | 1253845 | 2021-04-24 | Chester | Pennsylvania | 42029 | 38323 | 772 |
1253846 | 1253846 | 2021-04-24 | Clarion | Pennsylvania | 42031 | 3014 | 90 |
1253847 | 1253847 | 2021-04-24 | Clearfield | Pennsylvania | 42033 | 8020 | 135 |
1253848 | 1253848 | 2021-04-24 | Clinton | Pennsylvania | 42035 | 3472 | 61 |
1253849 | 1253849 | 2021-04-24 | Columbia | Pennsylvania | 42037 | 5336 | 133 |
1253850 | 1253850 | 2021-04-24 | Crawford | Pennsylvania | 42039 | 6961 | 147 |
1253851 | 1253851 | 2021-04-24 | Cumberland | Pennsylvania | 42041 | 19336 | 508 |
1253852 | 1253852 | 2021-04-24 | Dauphin | Pennsylvania | 42043 | 24285 | 535 |
1253853 | 1253853 | 2021-04-24 | Delaware | Pennsylvania | 42045 | 49713 | 1371 |
1253854 | 1253854 | 2021-04-24 | Elk | Pennsylvania | 42047 | 2775 | 38 |
1253855 | 1253855 | 2021-04-24 | Erie | Pennsylvania | 42049 | 19839 | 403 |
1253856 | 1253856 | 2021-04-24 | Fayette | Pennsylvania | 42051 | 12228 | 302 |
1253857 | 1253857 | 2021-04-24 | Forest | Pennsylvania | 42053 | 1402 | 21 |
1253858 | 1253858 | 2021-04-24 | Franklin | Pennsylvania | 42055 | 14479 | 356 |
1253859 | 1253859 | 2021-04-24 | Fulton | Pennsylvania | 42057 | 1270 | 15 |
1253860 | 1253860 | 2021-04-24 | Greene | Pennsylvania | 42059 | 3128 | 39 |
1253861 | 1253861 | 2021-04-24 | Huntingdon | Pennsylvania | 42061 | 4816 | 128 |
1253862 | 1253862 | 2021-04-24 | Indiana | Pennsylvania | 42063 | 5827 | 165 |
1253863 | 1253863 | 2021-04-24 | Jefferson | Pennsylvania | 42065 | 3185 | 95 |
1253864 | 1253864 | 2021-04-24 | Juniata | Pennsylvania | 42067 | 2037 | 82 |
1253865 | 1253865 | 2021-04-24 | Lackawanna | Pennsylvania | 42069 | 17400 | 454 |
1253866 | 1253866 | 2021-04-24 | Lancaster | Pennsylvania | 42071 | 52360 | 1105 |
1253867 | 1253867 | 2021-04-24 | Lawrence | Pennsylvania | 42073 | 7167 | 202 |
1253868 | 1253868 | 2021-04-24 | Lebanon | Pennsylvania | 42075 | 15073 | 275 |
1253869 | 1253869 | 2021-04-24 | Lehigh | Pennsylvania | 42077 | 37512 | 826 |
1253870 | 1253870 | 2021-04-24 | Luzerne | Pennsylvania | 42079 | 29769 | 788 |
1253871 | 1253871 | 2021-04-24 | Lycoming | Pennsylvania | 42081 | 11153 | 274 |
1253872 | 1253872 | 2021-04-24 | McKean | Pennsylvania | 42083 | 3421 | 67 |
1253873 | 1253873 | 2021-04-24 | Mercer | Pennsylvania | 42085 | 9046 | 253 |
1253874 | 1253874 | 2021-04-24 | Mifflin | Pennsylvania | 42087 | 5053 | 176 |
1253875 | 1253875 | 2021-04-24 | Monroe | Pennsylvania | 42089 | 13471 | 299 |
1253876 | 1253876 | 2021-04-24 | Montgomery | Pennsylvania | 42091 | 66562 | 1647 |
1253877 | 1253877 | 2021-04-24 | Montour | Pennsylvania | 42093 | 1940 | 63 |
1253878 | 1253878 | 2021-04-24 | Northampton | Pennsylvania | 42095 | 33895 | 690 |
1253879 | 1253879 | 2021-04-24 | Northumberland | Pennsylvania | 42097 | 9114 | 343 |
1253880 | 1253880 | 2021-04-24 | Perry | Pennsylvania | 42099 | 3563 | 98 |
1253881 | 1253881 | 2021-04-24 | Philadelphia | Pennsylvania | 42101 | 144048 | 3445 |
1253882 | 1253882 | 2021-04-24 | Pike | Pennsylvania | 42103 | 3652 | 53 |
1253883 | 1253883 | 2021-04-24 | Potter | Pennsylvania | 42105 | 1053 | 23 |
1253884 | 1253884 | 2021-04-24 | Schuylkill | Pennsylvania | 42107 | 13859 | 392 |
1253885 | 1253885 | 2021-04-24 | Snyder | Pennsylvania | 42109 | 3479 | 83 |
1253886 | 1253886 | 2021-04-24 | Somerset | Pennsylvania | 42111 | 7416 | 196 |
1253887 | 1253887 | 2021-04-24 | Sullivan | Pennsylvania | 42113 | 390 | 20 |
1253888 | 1253888 | 2021-04-24 | Susquehanna | Pennsylvania | 42115 | 2348 | 58 |
1253889 | 1253889 | 2021-04-24 | Tioga | Pennsylvania | 42117 | 2820 | 103 |
1253890 | 1253890 | 2021-04-24 | Union | Pennsylvania | 42119 | 5825 | 86 |
1253891 | 1253891 | 2021-04-24 | Venango | Pennsylvania | 42121 | 3710 | 91 |
1253892 | 1253892 | 2021-04-24 | Warren | Pennsylvania | 42123 | 2466 | 101 |
1253893 | 1253893 | 2021-04-24 | Washington | Pennsylvania | 42125 | 16646 | 288 |
1253894 | 1253894 | 2021-04-24 | Wayne | Pennsylvania | 42127 | 3772 | 76 |
1253895 | 1253895 | 2021-04-24 | Westmoreland | Pennsylvania | 42129 | 32136 | 735 |
1253896 | 1253896 | 2021-04-24 | Wyoming | Pennsylvania | 42131 | 1786 | 46 |
1253897 | 1253897 | 2021-04-24 | York | Pennsylvania | 42133 | 43372 | 774 |
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);