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 2020-07-09 and state = "Pennsylvania" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
317743 | 317743 | 2020-07-09 | Adams | Pennsylvania | 42001 | 366 | 13 |
317744 | 317744 | 2020-07-09 | Allegheny | Pennsylvania | 42003 | 4367 | 196 |
317745 | 317745 | 2020-07-09 | Armstrong | Pennsylvania | 42005 | 80 | 6 |
317746 | 317746 | 2020-07-09 | Beaver | Pennsylvania | 42007 | 796 | 79 |
317747 | 317747 | 2020-07-09 | Bedford | Pennsylvania | 42009 | 91 | 4 |
317748 | 317748 | 2020-07-09 | Berks | Pennsylvania | 42011 | 4647 | 356 |
317749 | 317749 | 2020-07-09 | Blair | Pennsylvania | 42013 | 93 | 1 |
317750 | 317750 | 2020-07-09 | Bradford | Pennsylvania | 42015 | 59 | 3 |
317751 | 317751 | 2020-07-09 | Bucks | Pennsylvania | 42017 | 6003 | 571 |
317752 | 317752 | 2020-07-09 | Butler | Pennsylvania | 42019 | 396 | 13 |
317753 | 317753 | 2020-07-09 | Cambria | Pennsylvania | 42021 | 113 | 3 |
317754 | 317754 | 2020-07-09 | Cameron | Pennsylvania | 42023 | 4 | 0 |
317755 | 317755 | 2020-07-09 | Carbon | Pennsylvania | 42025 | 293 | 27 |
317756 | 317756 | 2020-07-09 | Centre | Pennsylvania | 42027 | 235 | 8 |
317757 | 317757 | 2020-07-09 | Chester | Pennsylvania | 42029 | 3961 | 333 |
317758 | 317758 | 2020-07-09 | Clarion | Pennsylvania | 42031 | 49 | 2 |
317759 | 317759 | 2020-07-09 | Clearfield | Pennsylvania | 42033 | 82 | 0 |
317760 | 317760 | 2020-07-09 | Clinton | Pennsylvania | 42035 | 91 | 4 |
317761 | 317761 | 2020-07-09 | Columbia | Pennsylvania | 42037 | 416 | 35 |
317762 | 317762 | 2020-07-09 | Crawford | Pennsylvania | 42039 | 76 | 1 |
317763 | 317763 | 2020-07-09 | Cumberland | Pennsylvania | 42041 | 922 | 66 |
317764 | 317764 | 2020-07-09 | Dauphin | Pennsylvania | 42043 | 2247 | 148 |
317765 | 317765 | 2020-07-09 | Delaware | Pennsylvania | 42045 | 7496 | 706 |
317766 | 317766 | 2020-07-09 | Elk | Pennsylvania | 42047 | 29 | 0 |
317767 | 317767 | 2020-07-09 | Erie | Pennsylvania | 42049 | 699 | 13 |
317768 | 317768 | 2020-07-09 | Fayette | Pennsylvania | 42051 | 163 | 4 |
317769 | 317769 | 2020-07-09 | Forest | Pennsylvania | 42053 | 7 | 0 |
317770 | 317770 | 2020-07-09 | Franklin | Pennsylvania | 42055 | 989 | 46 |
317771 | 317771 | 2020-07-09 | Fulton | Pennsylvania | 42057 | 19 | 1 |
317772 | 317772 | 2020-07-09 | Greene | Pennsylvania | 42059 | 56 | 0 |
317773 | 317773 | 2020-07-09 | Huntingdon | Pennsylvania | 42061 | 254 | 4 |
317774 | 317774 | 2020-07-09 | Indiana | Pennsylvania | 42063 | 121 | 6 |
317775 | 317775 | 2020-07-09 | Jefferson | Pennsylvania | 42065 | 34 | 1 |
317776 | 317776 | 2020-07-09 | Juniata | Pennsylvania | 42067 | 114 | 6 |
317777 | 317777 | 2020-07-09 | Lackawanna | Pennsylvania | 42069 | 1749 | 209 |
317778 | 317778 | 2020-07-09 | Lancaster | Pennsylvania | 42071 | 4711 | 377 |
317779 | 317779 | 2020-07-09 | Lawrence | Pennsylvania | 42073 | 146 | 9 |
317780 | 317780 | 2020-07-09 | Lebanon | Pennsylvania | 42075 | 1404 | 47 |
317781 | 317781 | 2020-07-09 | Lehigh | Pennsylvania | 42077 | 4370 | 315 |
317782 | 317782 | 2020-07-09 | Luzerne | Pennsylvania | 42079 | 2979 | 179 |
317783 | 317783 | 2020-07-09 | Lycoming | Pennsylvania | 42081 | 234 | 20 |
317784 | 317784 | 2020-07-09 | McKean | Pennsylvania | 42083 | 20 | 1 |
317785 | 317785 | 2020-07-09 | Mercer | Pennsylvania | 42085 | 161 | 6 |
317786 | 317786 | 2020-07-09 | Mifflin | Pennsylvania | 42087 | 70 | 1 |
317787 | 317787 | 2020-07-09 | Monroe | Pennsylvania | 42089 | 1456 | 111 |
317788 | 317788 | 2020-07-09 | Montgomery | Pennsylvania | 42091 | 8749 | 822 |
317789 | 317789 | 2020-07-09 | Montour | Pennsylvania | 42093 | 76 | 2 |
317790 | 317790 | 2020-07-09 | Northampton | Pennsylvania | 42095 | 3513 | 276 |
317791 | 317791 | 2020-07-09 | Northumberland | Pennsylvania | 42097 | 339 | 8 |
317792 | 317792 | 2020-07-09 | Perry | Pennsylvania | 42099 | 89 | 5 |
317793 | 317793 | 2020-07-09 | Philadelphia | Pennsylvania | 42101 | 27228 | 1633 |
317794 | 317794 | 2020-07-09 | Pike | Pennsylvania | 42103 | 504 | 21 |
317795 | 317795 | 2020-07-09 | Potter | Pennsylvania | 42105 | 17 | 0 |
317796 | 317796 | 2020-07-09 | Schuylkill | Pennsylvania | 42107 | 765 | 47 |
317797 | 317797 | 2020-07-09 | Snyder | Pennsylvania | 42109 | 72 | 2 |
317798 | 317798 | 2020-07-09 | Somerset | Pennsylvania | 42111 | 69 | 1 |
317799 | 317799 | 2020-07-09 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
317800 | 317800 | 2020-07-09 | Susquehanna | Pennsylvania | 42115 | 190 | 25 |
317801 | 317801 | 2020-07-09 | Tioga | Pennsylvania | 42117 | 27 | 2 |
317802 | 317802 | 2020-07-09 | Union | Pennsylvania | 42119 | 97 | 2 |
317803 | 317803 | 2020-07-09 | Venango | Pennsylvania | 42121 | 35 | 0 |
317804 | 317804 | 2020-07-09 | Warren | Pennsylvania | 42123 | 7 | 1 |
317805 | 317805 | 2020-07-09 | Washington | Pennsylvania | 42125 | 366 | 6 |
317806 | 317806 | 2020-07-09 | Wayne | Pennsylvania | 42127 | 141 | 8 |
317807 | 317807 | 2020-07-09 | Westmoreland | Pennsylvania | 42129 | 917 | 39 |
317808 | 317808 | 2020-07-09 | Wyoming | Pennsylvania | 42131 | 41 | 7 |
317809 | 317809 | 2020-07-09 | York | Pennsylvania | 42133 | 1714 | 57 |
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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);