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 2020-05-29 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
189778 | 189778 | 2020-05-29 | Adams | Pennsylvania | 42001 | 241 | 7 |
189779 | 189779 | 2020-05-29 | Allegheny | Pennsylvania | 42003 | 1870 | 162 |
189780 | 189780 | 2020-05-29 | Armstrong | Pennsylvania | 42005 | 62 | 4 |
189781 | 189781 | 2020-05-29 | Beaver | Pennsylvania | 42007 | 582 | 73 |
189782 | 189782 | 2020-05-29 | Bedford | Pennsylvania | 42009 | 39 | 2 |
189783 | 189783 | 2020-05-29 | Berks | Pennsylvania | 42011 | 3988 | 311 |
189784 | 189784 | 2020-05-29 | Blair | Pennsylvania | 42013 | 49 | 1 |
189785 | 189785 | 2020-05-29 | Bradford | Pennsylvania | 42015 | 46 | 3 |
189786 | 189786 | 2020-05-29 | Bucks | Pennsylvania | 42017 | 5012 | 493 |
189787 | 189787 | 2020-05-29 | Butler | Pennsylvania | 42019 | 227 | 12 |
189788 | 189788 | 2020-05-29 | Cambria | Pennsylvania | 42021 | 57 | 2 |
189789 | 189789 | 2020-05-29 | Cameron | Pennsylvania | 42023 | 2 | 0 |
189790 | 189790 | 2020-05-29 | Carbon | Pennsylvania | 42025 | 234 | 23 |
189791 | 189791 | 2020-05-29 | Centre | Pennsylvania | 42027 | 151 | 6 |
189792 | 189792 | 2020-05-29 | Chester | Pennsylvania | 42029 | 2647 | 277 |
189793 | 189793 | 2020-05-29 | Clarion | Pennsylvania | 42031 | 26 | 2 |
189794 | 189794 | 2020-05-29 | Clearfield | Pennsylvania | 42033 | 38 | 0 |
189795 | 189795 | 2020-05-29 | Clinton | Pennsylvania | 42035 | 55 | 2 |
189796 | 189796 | 2020-05-29 | Columbia | Pennsylvania | 42037 | 346 | 31 |
189797 | 189797 | 2020-05-29 | Crawford | Pennsylvania | 42039 | 30 | 0 |
189798 | 189798 | 2020-05-29 | Cumberland | Pennsylvania | 42041 | 621 | 48 |
189799 | 189799 | 2020-05-29 | Dauphin | Pennsylvania | 42043 | 1231 | 72 |
189800 | 189800 | 2020-05-29 | Delaware | Pennsylvania | 42045 | 6428 | 550 |
189801 | 189801 | 2020-05-29 | Elk | Pennsylvania | 42047 | 6 | 0 |
189802 | 189802 | 2020-05-29 | Erie | Pennsylvania | 42049 | 253 | 4 |
189803 | 189803 | 2020-05-29 | Fayette | Pennsylvania | 42051 | 95 | 4 |
189804 | 189804 | 2020-05-29 | Forest | Pennsylvania | 42053 | 7 | 0 |
189805 | 189805 | 2020-05-29 | Franklin | Pennsylvania | 42055 | 762 | 34 |
189806 | 189806 | 2020-05-29 | Fulton | Pennsylvania | 42057 | 15 | 1 |
189807 | 189807 | 2020-05-29 | Greene | Pennsylvania | 42059 | 27 | 0 |
189808 | 189808 | 2020-05-29 | Huntingdon | Pennsylvania | 42061 | 228 | 2 |
189809 | 189809 | 2020-05-29 | Indiana | Pennsylvania | 42063 | 90 | 5 |
189810 | 189810 | 2020-05-29 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
189811 | 189811 | 2020-05-29 | Juniata | Pennsylvania | 42067 | 95 | 4 |
189812 | 189812 | 2020-05-29 | Lackawanna | Pennsylvania | 42069 | 1528 | 166 |
189813 | 189813 | 2020-05-29 | Lancaster | Pennsylvania | 42071 | 3105 | 292 |
189814 | 189814 | 2020-05-29 | Lawrence | Pennsylvania | 42073 | 76 | 8 |
189815 | 189815 | 2020-05-29 | Lebanon | Pennsylvania | 42075 | 950 | 33 |
189816 | 189816 | 2020-05-29 | Lehigh | Pennsylvania | 42077 | 3738 | 222 |
189817 | 189817 | 2020-05-29 | Luzerne | Pennsylvania | 42079 | 2711 | 144 |
189818 | 189818 | 2020-05-29 | Lycoming | Pennsylvania | 42081 | 162 | 16 |
189819 | 189819 | 2020-05-29 | McKean | Pennsylvania | 42083 | 12 | 1 |
189820 | 189820 | 2020-05-29 | Mercer | Pennsylvania | 42085 | 107 | 5 |
189821 | 189821 | 2020-05-29 | Mifflin | Pennsylvania | 42087 | 58 | 1 |
189822 | 189822 | 2020-05-29 | Monroe | Pennsylvania | 42089 | 1315 | 101 |
189823 | 189823 | 2020-05-29 | Montgomery | Pennsylvania | 42091 | 6906 | 677 |
189824 | 189824 | 2020-05-29 | Montour | Pennsylvania | 42093 | 50 | 0 |
189825 | 189825 | 2020-05-29 | Northampton | Pennsylvania | 42095 | 3045 | 207 |
189826 | 189826 | 2020-05-29 | Northumberland | Pennsylvania | 42097 | 186 | 3 |
189827 | 189827 | 2020-05-29 | Perry | Pennsylvania | 42099 | 56 | 2 |
189828 | 189828 | 2020-05-29 | Philadelphia | Pennsylvania | 42101 | 22405 | 1300 |
189829 | 189829 | 2020-05-29 | Pike | Pennsylvania | 42103 | 476 | 19 |
189830 | 189830 | 2020-05-29 | Potter | Pennsylvania | 42105 | 4 | 0 |
189831 | 189831 | 2020-05-29 | Schuylkill | Pennsylvania | 42107 | 616 | 32 |
189832 | 189832 | 2020-05-29 | Snyder | Pennsylvania | 42109 | 39 | 1 |
189833 | 189833 | 2020-05-29 | Somerset | Pennsylvania | 42111 | 37 | 1 |
189834 | 189834 | 2020-05-29 | Sullivan | Pennsylvania | 42113 | 3 | 0 |
189835 | 189835 | 2020-05-29 | Susquehanna | Pennsylvania | 42115 | 109 | 15 |
189836 | 189836 | 2020-05-29 | Tioga | Pennsylvania | 42117 | 17 | 2 |
189837 | 189837 | 2020-05-29 | Union | Pennsylvania | 42119 | 57 | 1 |
189838 | 189838 | 2020-05-29 | Venango | Pennsylvania | 42121 | 8 | 0 |
189839 | 189839 | 2020-05-29 | Warren | Pennsylvania | 42123 | 3 | 0 |
189840 | 189840 | 2020-05-29 | Washington | Pennsylvania | 42125 | 139 | 5 |
189841 | 189841 | 2020-05-29 | Wayne | Pennsylvania | 42127 | 119 | 7 |
189842 | 189842 | 2020-05-29 | Westmoreland | Pennsylvania | 42129 | 444 | 38 |
189843 | 189843 | 2020-05-29 | Wyoming | Pennsylvania | 42131 | 34 | 7 |
189844 | 189844 | 2020-05-29 | York | Pennsylvania | 42133 | 991 | 26 |
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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);