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 2020-10-14 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 |
---|---|---|---|---|---|---|---|
630655 | 630655 | 2020-10-14 | Adams | Pennsylvania | 42001 | 957 | 27 |
630656 | 630656 | 2020-10-14 | Allegheny | Pennsylvania | 42003 | 13533 | 397 |
630657 | 630657 | 2020-10-14 | Armstrong | Pennsylvania | 42005 | 528 | 19 |
630658 | 630658 | 2020-10-14 | Beaver | Pennsylvania | 42007 | 2084 | 136 |
630659 | 630659 | 2020-10-14 | Bedford | Pennsylvania | 42009 | 309 | 6 |
630660 | 630660 | 2020-10-14 | Berks | Pennsylvania | 42011 | 7961 | 409 |
630661 | 630661 | 2020-10-14 | Blair | Pennsylvania | 42013 | 926 | 23 |
630662 | 630662 | 2020-10-14 | Bradford | Pennsylvania | 42015 | 392 | 6 |
630663 | 630663 | 2020-10-14 | Bucks | Pennsylvania | 42017 | 9423 | 622 |
630664 | 630664 | 2020-10-14 | Butler | Pennsylvania | 42019 | 1319 | 25 |
630665 | 630665 | 2020-10-14 | Cambria | Pennsylvania | 42021 | 783 | 7 |
630666 | 630666 | 2020-10-14 | Cameron | Pennsylvania | 42023 | 8 | 0 |
630667 | 630667 | 2020-10-14 | Carbon | Pennsylvania | 42025 | 521 | 29 |
630668 | 630668 | 2020-10-14 | Centre | Pennsylvania | 42027 | 3564 | 14 |
630669 | 630669 | 2020-10-14 | Chester | Pennsylvania | 42029 | 7491 | 375 |
630670 | 630670 | 2020-10-14 | Clarion | Pennsylvania | 42031 | 166 | 3 |
630671 | 630671 | 2020-10-14 | Clearfield | Pennsylvania | 42033 | 376 | 7 |
630672 | 630672 | 2020-10-14 | Clinton | Pennsylvania | 42035 | 231 | 6 |
630673 | 630673 | 2020-10-14 | Columbia | Pennsylvania | 42037 | 1012 | 38 |
630674 | 630674 | 2020-10-14 | Crawford | Pennsylvania | 42039 | 359 | 3 |
630675 | 630675 | 2020-10-14 | Cumberland | Pennsylvania | 42041 | 2158 | 77 |
630676 | 630676 | 2020-10-14 | Dauphin | Pennsylvania | 42043 | 4257 | 185 |
630677 | 630677 | 2020-10-14 | Delaware | Pennsylvania | 42045 | 12306 | 800 |
630678 | 630678 | 2020-10-14 | Elk | Pennsylvania | 42047 | 91 | 2 |
630679 | 630679 | 2020-10-14 | Erie | Pennsylvania | 42049 | 1826 | 48 |
630680 | 630680 | 2020-10-14 | Fayette | Pennsylvania | 42051 | 886 | 9 |
630681 | 630681 | 2020-10-14 | Forest | Pennsylvania | 42053 | 17 | 1 |
630682 | 630682 | 2020-10-14 | Franklin | Pennsylvania | 42055 | 1936 | 53 |
630683 | 630683 | 2020-10-14 | Fulton | Pennsylvania | 42057 | 60 | 2 |
630684 | 630684 | 2020-10-14 | Greene | Pennsylvania | 42059 | 205 | 1 |
630685 | 630685 | 2020-10-14 | Huntingdon | Pennsylvania | 42061 | 604 | 8 |
630686 | 630686 | 2020-10-14 | Indiana | Pennsylvania | 42063 | 896 | 14 |
630687 | 630687 | 2020-10-14 | Jefferson | Pennsylvania | 42065 | 138 | 3 |
630688 | 630688 | 2020-10-14 | Juniata | Pennsylvania | 42067 | 204 | 8 |
630689 | 630689 | 2020-10-14 | Lackawanna | Pennsylvania | 42069 | 3065 | 217 |
630690 | 630690 | 2020-10-14 | Lancaster | Pennsylvania | 42071 | 8718 | 466 |
630691 | 630691 | 2020-10-14 | Lawrence | Pennsylvania | 42073 | 653 | 24 |
630692 | 630692 | 2020-10-14 | Lebanon | Pennsylvania | 42075 | 2427 | 65 |
630693 | 630693 | 2020-10-14 | Lehigh | Pennsylvania | 42077 | 6023 | 361 |
630694 | 630694 | 2020-10-14 | Luzerne | Pennsylvania | 42079 | 4496 | 190 |
630695 | 630695 | 2020-10-14 | Lycoming | Pennsylvania | 42081 | 847 | 29 |
630696 | 630696 | 2020-10-14 | McKean | Pennsylvania | 42083 | 80 | 2 |
630697 | 630697 | 2020-10-14 | Mercer | Pennsylvania | 42085 | 847 | 25 |
630698 | 630698 | 2020-10-14 | Mifflin | Pennsylvania | 42087 | 289 | 3 |
630699 | 630699 | 2020-10-14 | Monroe | Pennsylvania | 42089 | 1893 | 134 |
630700 | 630700 | 2020-10-14 | Montgomery | Pennsylvania | 42091 | 12945 | 890 |
630701 | 630701 | 2020-10-14 | Montour | Pennsylvania | 42093 | 251 | 5 |
630702 | 630702 | 2020-10-14 | Northampton | Pennsylvania | 42095 | 4905 | 309 |
630703 | 630703 | 2020-10-14 | Northumberland | Pennsylvania | 42097 | 1296 | 90 |
630704 | 630704 | 2020-10-14 | Perry | Pennsylvania | 42099 | 289 | 6 |
630705 | 630705 | 2020-10-14 | Philadelphia | Pennsylvania | 42101 | 39691 | 1857 |
630706 | 630706 | 2020-10-14 | Pike | Pennsylvania | 42103 | 607 | 23 |
630707 | 630707 | 2020-10-14 | Potter | Pennsylvania | 42105 | 37 | 1 |
630708 | 630708 | 2020-10-14 | Schuylkill | Pennsylvania | 42107 | 1457 | 68 |
630709 | 630709 | 2020-10-14 | Snyder | Pennsylvania | 42109 | 433 | 12 |
630710 | 630710 | 2020-10-14 | Somerset | Pennsylvania | 42111 | 279 | 3 |
630711 | 630711 | 2020-10-14 | Sullivan | Pennsylvania | 42113 | 15 | 1 |
630712 | 630712 | 2020-10-14 | Susquehanna | Pennsylvania | 42115 | 354 | 28 |
630713 | 630713 | 2020-10-14 | Tioga | Pennsylvania | 42117 | 122 | 3 |
630714 | 630714 | 2020-10-14 | Union | Pennsylvania | 42119 | 619 | 7 |
630715 | 630715 | 2020-10-14 | Venango | Pennsylvania | 42121 | 142 | 1 |
630716 | 630716 | 2020-10-14 | Warren | Pennsylvania | 42123 | 58 | 1 |
630717 | 630717 | 2020-10-14 | Washington | Pennsylvania | 42125 | 1563 | 31 |
630718 | 630718 | 2020-10-14 | Wayne | Pennsylvania | 42127 | 268 | 12 |
630719 | 630719 | 2020-10-14 | Westmoreland | Pennsylvania | 42129 | 3053 | 64 |
630720 | 630720 | 2020-10-14 | Wyoming | Pennsylvania | 42131 | 92 | 8 |
630721 | 630721 | 2020-10-14 | York | Pennsylvania | 42133 | 5615 | 182 |
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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);