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 2020-11-16 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 |
---|---|---|---|---|---|---|---|
737710 | 737710 | 2020-11-16 | Adams | Pennsylvania | 42001 | 1517 | 39 |
737711 | 737711 | 2020-11-16 | Allegheny | Pennsylvania | 42003 | 20526 | 459 |
737712 | 737712 | 2020-11-16 | Armstrong | Pennsylvania | 42005 | 1251 | 31 |
737713 | 737713 | 2020-11-16 | Beaver | Pennsylvania | 42007 | 2865 | 144 |
737714 | 737714 | 2020-11-16 | Bedford | Pennsylvania | 42009 | 955 | 11 |
737715 | 737715 | 2020-11-16 | Berks | Pennsylvania | 42011 | 11518 | 441 |
737716 | 737716 | 2020-11-16 | Blair | Pennsylvania | 42013 | 2598 | 41 |
737717 | 737717 | 2020-11-16 | Bradford | Pennsylvania | 42015 | 1403 | 29 |
737718 | 737718 | 2020-11-16 | Bucks | Pennsylvania | 42017 | 13285 | 636 |
737719 | 737719 | 2020-11-16 | Butler | Pennsylvania | 42019 | 2983 | 46 |
737720 | 737720 | 2020-11-16 | Cambria | Pennsylvania | 42021 | 2261 | 23 |
737721 | 737721 | 2020-11-16 | Cameron | Pennsylvania | 42023 | 16 | 0 |
737722 | 737722 | 2020-11-16 | Carbon | Pennsylvania | 42025 | 906 | 36 |
737723 | 737723 | 2020-11-16 | Centre | Pennsylvania | 42027 | 5178 | 24 |
737724 | 737724 | 2020-11-16 | Chester | Pennsylvania | 42029 | 9895 | 384 |
737725 | 737725 | 2020-11-16 | Clarion | Pennsylvania | 42031 | 536 | 4 |
737726 | 737726 | 2020-11-16 | Clearfield | Pennsylvania | 42033 | 874 | 8 |
737727 | 737727 | 2020-11-16 | Clinton | Pennsylvania | 42035 | 402 | 9 |
737728 | 737728 | 2020-11-16 | Columbia | Pennsylvania | 42037 | 1220 | 45 |
737729 | 737729 | 2020-11-16 | Crawford | Pennsylvania | 42039 | 1097 | 5 |
737730 | 737730 | 2020-11-16 | Cumberland | Pennsylvania | 42041 | 3534 | 87 |
737731 | 737731 | 2020-11-16 | Dauphin | Pennsylvania | 42043 | 6146 | 203 |
737732 | 737732 | 2020-11-16 | Delaware | Pennsylvania | 42045 | 16736 | 831 |
737733 | 737733 | 2020-11-16 | Elk | Pennsylvania | 42047 | 368 | 3 |
737734 | 737734 | 2020-11-16 | Erie | Pennsylvania | 42049 | 3463 | 48 |
737735 | 737735 | 2020-11-16 | Fayette | Pennsylvania | 42051 | 1394 | 15 |
737736 | 737736 | 2020-11-16 | Forest | Pennsylvania | 42053 | 27 | 1 |
737737 | 737737 | 2020-11-16 | Franklin | Pennsylvania | 42055 | 3156 | 76 |
737738 | 737738 | 2020-11-16 | Fulton | Pennsylvania | 42057 | 152 | 4 |
737739 | 737739 | 2020-11-16 | Greene | Pennsylvania | 42059 | 466 | 1 |
737740 | 737740 | 2020-11-16 | Huntingdon | Pennsylvania | 42061 | 1372 | 37 |
737741 | 737741 | 2020-11-16 | Indiana | Pennsylvania | 42063 | 1828 | 25 |
737742 | 737742 | 2020-11-16 | Jefferson | Pennsylvania | 42065 | 434 | 4 |
737743 | 737743 | 2020-11-16 | Juniata | Pennsylvania | 42067 | 413 | 9 |
737744 | 737744 | 2020-11-16 | Lackawanna | Pennsylvania | 42069 | 4369 | 226 |
737745 | 737745 | 2020-11-16 | Lancaster | Pennsylvania | 42071 | 12434 | 496 |
737746 | 737746 | 2020-11-16 | Lawrence | Pennsylvania | 42073 | 1595 | 54 |
737747 | 737747 | 2020-11-16 | Lebanon | Pennsylvania | 42075 | 4110 | 85 |
737748 | 737748 | 2020-11-16 | Lehigh | Pennsylvania | 42077 | 8725 | 374 |
737749 | 737749 | 2020-11-16 | Luzerne | Pennsylvania | 42079 | 7104 | 230 |
737750 | 737750 | 2020-11-16 | Lycoming | Pennsylvania | 42081 | 1341 | 33 |
737751 | 737751 | 2020-11-16 | McKean | Pennsylvania | 42083 | 282 | 2 |
737752 | 737752 | 2020-11-16 | Mercer | Pennsylvania | 42085 | 1913 | 30 |
737753 | 737753 | 2020-11-16 | Mifflin | Pennsylvania | 42087 | 898 | 7 |
737754 | 737754 | 2020-11-16 | Monroe | Pennsylvania | 42089 | 2598 | 135 |
737755 | 737755 | 2020-11-16 | Montgomery | Pennsylvania | 42091 | 17631 | 904 |
737756 | 737756 | 2020-11-16 | Montour | Pennsylvania | 42093 | 367 | 14 |
737757 | 737757 | 2020-11-16 | Northampton | Pennsylvania | 42095 | 6918 | 323 |
737758 | 737758 | 2020-11-16 | Northumberland | Pennsylvania | 42097 | 1945 | 118 |
737759 | 737759 | 2020-11-16 | Perry | Pennsylvania | 42099 | 489 | 8 |
737760 | 737760 | 2020-11-16 | Philadelphia | Pennsylvania | 42101 | 55302 | 1935 |
737761 | 737761 | 2020-11-16 | Pike | Pennsylvania | 42103 | 730 | 23 |
737762 | 737762 | 2020-11-16 | Potter | Pennsylvania | 42105 | 105 | 2 |
737763 | 737763 | 2020-11-16 | Schuylkill | Pennsylvania | 42107 | 2955 | 134 |
737764 | 737764 | 2020-11-16 | Snyder | Pennsylvania | 42109 | 702 | 18 |
737765 | 737765 | 2020-11-16 | Somerset | Pennsylvania | 42111 | 933 | 5 |
737766 | 737766 | 2020-11-16 | Sullivan | Pennsylvania | 42113 | 34 | 1 |
737767 | 737767 | 2020-11-16 | Susquehanna | Pennsylvania | 42115 | 491 | 30 |
737768 | 737768 | 2020-11-16 | Tioga | Pennsylvania | 42117 | 558 | 5 |
737769 | 737769 | 2020-11-16 | Union | Pennsylvania | 42119 | 1016 | 12 |
737770 | 737770 | 2020-11-16 | Venango | Pennsylvania | 42121 | 574 | 1 |
737771 | 737771 | 2020-11-16 | Warren | Pennsylvania | 42123 | 111 | 1 |
737772 | 737772 | 2020-11-16 | Washington | Pennsylvania | 42125 | 3106 | 50 |
737773 | 737773 | 2020-11-16 | Wayne | Pennsylvania | 42127 | 351 | 12 |
737774 | 737774 | 2020-11-16 | Westmoreland | Pennsylvania | 42129 | 6266 | 136 |
737775 | 737775 | 2020-11-16 | Wyoming | Pennsylvania | 42131 | 313 | 13 |
737776 | 737776 | 2020-11-16 | York | Pennsylvania | 42133 | 8216 | 223 |
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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);