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 2020-07-03 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 |
---|---|---|---|---|---|---|---|
298735 | 298735 | 2020-07-03 | Adams | Pennsylvania | 42001 | 344 | 13 |
298736 | 298736 | 2020-07-03 | Allegheny | Pennsylvania | 42003 | 3280 | 190 |
298737 | 298737 | 2020-07-03 | Armstrong | Pennsylvania | 42005 | 78 | 6 |
298738 | 298738 | 2020-07-03 | Beaver | Pennsylvania | 42007 | 706 | 79 |
298739 | 298739 | 2020-07-03 | Bedford | Pennsylvania | 42009 | 89 | 4 |
298740 | 298740 | 2020-07-03 | Berks | Pennsylvania | 42011 | 4569 | 352 |
298741 | 298741 | 2020-07-03 | Blair | Pennsylvania | 42013 | 79 | 1 |
298742 | 298742 | 2020-07-03 | Bradford | Pennsylvania | 42015 | 57 | 3 |
298743 | 298743 | 2020-07-03 | Bucks | Pennsylvania | 42017 | 5829 | 567 |
298744 | 298744 | 2020-07-03 | Butler | Pennsylvania | 42019 | 330 | 13 |
298745 | 298745 | 2020-07-03 | Cambria | Pennsylvania | 42021 | 90 | 3 |
298746 | 298746 | 2020-07-03 | Cameron | Pennsylvania | 42023 | 3 | 0 |
298747 | 298747 | 2020-07-03 | Carbon | Pennsylvania | 42025 | 284 | 26 |
298748 | 298748 | 2020-07-03 | Centre | Pennsylvania | 42027 | 218 | 7 |
298749 | 298749 | 2020-07-03 | Chester | Pennsylvania | 42029 | 3796 | 329 |
298750 | 298750 | 2020-07-03 | Clarion | Pennsylvania | 42031 | 40 | 2 |
298751 | 298751 | 2020-07-03 | Clearfield | Pennsylvania | 42033 | 74 | 0 |
298752 | 298752 | 2020-07-03 | Clinton | Pennsylvania | 42035 | 80 | 4 |
298753 | 298753 | 2020-07-03 | Columbia | Pennsylvania | 42037 | 407 | 34 |
298754 | 298754 | 2020-07-03 | Crawford | Pennsylvania | 42039 | 62 | 0 |
298755 | 298755 | 2020-07-03 | Cumberland | Pennsylvania | 42041 | 871 | 64 |
298756 | 298756 | 2020-07-03 | Dauphin | Pennsylvania | 42043 | 2161 | 140 |
298757 | 298757 | 2020-07-03 | Delaware | Pennsylvania | 42045 | 7299 | 702 |
298758 | 298758 | 2020-07-03 | Elk | Pennsylvania | 42047 | 16 | 0 |
298759 | 298759 | 2020-07-03 | Erie | Pennsylvania | 42049 | 642 | 13 |
298760 | 298760 | 2020-07-03 | Fayette | Pennsylvania | 42051 | 132 | 4 |
298761 | 298761 | 2020-07-03 | Forest | Pennsylvania | 42053 | 7 | 0 |
298762 | 298762 | 2020-07-03 | Franklin | Pennsylvania | 42055 | 954 | 44 |
298763 | 298763 | 2020-07-03 | Fulton | Pennsylvania | 42057 | 18 | 1 |
298764 | 298764 | 2020-07-03 | Greene | Pennsylvania | 42059 | 41 | 0 |
298765 | 298765 | 2020-07-03 | Huntingdon | Pennsylvania | 42061 | 254 | 4 |
298766 | 298766 | 2020-07-03 | Indiana | Pennsylvania | 42063 | 114 | 6 |
298767 | 298767 | 2020-07-03 | Jefferson | Pennsylvania | 42065 | 25 | 1 |
298768 | 298768 | 2020-07-03 | Juniata | Pennsylvania | 42067 | 113 | 6 |
298769 | 298769 | 2020-07-03 | Lackawanna | Pennsylvania | 42069 | 1719 | 207 |
298770 | 298770 | 2020-07-03 | Lancaster | Pennsylvania | 42071 | 4530 | 365 |
298771 | 298771 | 2020-07-03 | Lawrence | Pennsylvania | 42073 | 110 | 9 |
298772 | 298772 | 2020-07-03 | Lebanon | Pennsylvania | 42075 | 1375 | 43 |
298773 | 298773 | 2020-07-03 | Lehigh | Pennsylvania | 42077 | 4292 | 307 |
298774 | 298774 | 2020-07-03 | Luzerne | Pennsylvania | 42079 | 2939 | 178 |
298775 | 298775 | 2020-07-03 | Lycoming | Pennsylvania | 42081 | 196 | 20 |
298776 | 298776 | 2020-07-03 | McKean | Pennsylvania | 42083 | 20 | 1 |
298777 | 298777 | 2020-07-03 | Mercer | Pennsylvania | 42085 | 143 | 6 |
298778 | 298778 | 2020-07-03 | Mifflin | Pennsylvania | 42087 | 63 | 1 |
298779 | 298779 | 2020-07-03 | Monroe | Pennsylvania | 42089 | 1430 | 109 |
298780 | 298780 | 2020-07-03 | Montgomery | Pennsylvania | 42091 | 8562 | 810 |
298781 | 298781 | 2020-07-03 | Montour | Pennsylvania | 42093 | 75 | 1 |
298782 | 298782 | 2020-07-03 | Northampton | Pennsylvania | 42095 | 3458 | 272 |
298783 | 298783 | 2020-07-03 | Northumberland | Pennsylvania | 42097 | 320 | 8 |
298784 | 298784 | 2020-07-03 | Perry | Pennsylvania | 42099 | 86 | 5 |
298785 | 298785 | 2020-07-03 | Philadelphia | Pennsylvania | 42101 | 26536 | 1619 |
298786 | 298786 | 2020-07-03 | Pike | Pennsylvania | 42103 | 500 | 21 |
298787 | 298787 | 2020-07-03 | Potter | Pennsylvania | 42105 | 17 | 0 |
298788 | 298788 | 2020-07-03 | Schuylkill | Pennsylvania | 42107 | 753 | 44 |
298789 | 298789 | 2020-07-03 | Snyder | Pennsylvania | 42109 | 67 | 2 |
298790 | 298790 | 2020-07-03 | Somerset | Pennsylvania | 42111 | 63 | 1 |
298791 | 298791 | 2020-07-03 | Sullivan | Pennsylvania | 42113 | 6 | 0 |
298792 | 298792 | 2020-07-03 | Susquehanna | Pennsylvania | 42115 | 185 | 24 |
298793 | 298793 | 2020-07-03 | Tioga | Pennsylvania | 42117 | 26 | 2 |
298794 | 298794 | 2020-07-03 | Union | Pennsylvania | 42119 | 94 | 2 |
298795 | 298795 | 2020-07-03 | Venango | Pennsylvania | 42121 | 23 | 0 |
298796 | 298796 | 2020-07-03 | Warren | Pennsylvania | 42123 | 7 | 1 |
298797 | 298797 | 2020-07-03 | Washington | Pennsylvania | 42125 | 259 | 6 |
298798 | 298798 | 2020-07-03 | Wayne | Pennsylvania | 42127 | 142 | 9 |
298799 | 298799 | 2020-07-03 | Westmoreland | Pennsylvania | 42129 | 744 | 38 |
298800 | 298800 | 2020-07-03 | Wyoming | Pennsylvania | 42131 | 39 | 7 |
298801 | 298801 | 2020-07-03 | York | Pennsylvania | 42133 | 1577 | 54 |
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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);