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 2021-03-22 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 |
---|---|---|---|---|---|---|---|
1146660 | 1146660 | 2021-03-22 | Adams | Pennsylvania | 42001 | 7758 | 158 |
1146661 | 1146661 | 2021-03-22 | Allegheny | Pennsylvania | 42003 | 82080 | 1780 |
1146662 | 1146662 | 2021-03-22 | Armstrong | Pennsylvania | 42005 | 5059 | 118 |
1146663 | 1146663 | 2021-03-22 | Beaver | Pennsylvania | 42007 | 12806 | 355 |
1146664 | 1146664 | 2021-03-22 | Bedford | Pennsylvania | 42009 | 3914 | 130 |
1146665 | 1146665 | 2021-03-22 | Berks | Pennsylvania | 42011 | 38226 | 920 |
1146666 | 1146666 | 2021-03-22 | Blair | Pennsylvania | 42013 | 10919 | 309 |
1146667 | 1146667 | 2021-03-22 | Bradford | Pennsylvania | 42015 | 4615 | 82 |
1146668 | 1146668 | 2021-03-22 | Bucks | Pennsylvania | 42017 | 48633 | 1165 |
1146669 | 1146669 | 2021-03-22 | Butler | Pennsylvania | 42019 | 14730 | 382 |
1146670 | 1146670 | 2021-03-22 | Cambria | Pennsylvania | 42021 | 12058 | 402 |
1146671 | 1146671 | 2021-03-22 | Cameron | Pennsylvania | 42023 | 267 | 6 |
1146672 | 1146672 | 2021-03-22 | Carbon | Pennsylvania | 42025 | 5152 | 156 |
1146673 | 1146673 | 2021-03-22 | Centre | Pennsylvania | 42027 | 13909 | 213 |
1146674 | 1146674 | 2021-03-22 | Chester | Pennsylvania | 42029 | 32682 | 746 |
1146675 | 1146675 | 2021-03-22 | Clarion | Pennsylvania | 42031 | 2774 | 87 |
1146676 | 1146676 | 2021-03-22 | Clearfield | Pennsylvania | 42033 | 6849 | 124 |
1146677 | 1146677 | 2021-03-22 | Clinton | Pennsylvania | 42035 | 2992 | 57 |
1146678 | 1146678 | 2021-03-22 | Columbia | Pennsylvania | 42037 | 4834 | 125 |
1146679 | 1146679 | 2021-03-22 | Crawford | Pennsylvania | 42039 | 6597 | 141 |
1146680 | 1146680 | 2021-03-22 | Cumberland | Pennsylvania | 42041 | 17475 | 491 |
1146681 | 1146681 | 2021-03-22 | Dauphin | Pennsylvania | 42043 | 21726 | 511 |
1146682 | 1146682 | 2021-03-22 | Delaware | Pennsylvania | 42045 | 43248 | 1322 |
1146683 | 1146683 | 2021-03-22 | Elk | Pennsylvania | 42047 | 2436 | 36 |
1146684 | 1146684 | 2021-03-22 | Erie | Pennsylvania | 42049 | 18341 | 389 |
1146685 | 1146685 | 2021-03-22 | Fayette | Pennsylvania | 42051 | 10957 | 282 |
1146686 | 1146686 | 2021-03-22 | Forest | Pennsylvania | 42053 | 1389 | 21 |
1146687 | 1146687 | 2021-03-22 | Franklin | Pennsylvania | 42055 | 13123 | 337 |
1146688 | 1146688 | 2021-03-22 | Fulton | Pennsylvania | 42057 | 1165 | 15 |
1146689 | 1146689 | 2021-03-22 | Greene | Pennsylvania | 42059 | 2775 | 35 |
1146690 | 1146690 | 2021-03-22 | Huntingdon | Pennsylvania | 42061 | 4493 | 126 |
1146691 | 1146691 | 2021-03-22 | Indiana | Pennsylvania | 42063 | 5251 | 160 |
1146692 | 1146692 | 2021-03-22 | Jefferson | Pennsylvania | 42065 | 2906 | 90 |
1146693 | 1146693 | 2021-03-22 | Juniata | Pennsylvania | 42067 | 1871 | 81 |
1146694 | 1146694 | 2021-03-22 | Lackawanna | Pennsylvania | 42069 | 14908 | 429 |
1146695 | 1146695 | 2021-03-22 | Lancaster | Pennsylvania | 42071 | 46275 | 1073 |
1146696 | 1146696 | 2021-03-22 | Lawrence | Pennsylvania | 42073 | 6400 | 193 |
1146697 | 1146697 | 2021-03-22 | Lebanon | Pennsylvania | 42075 | 13432 | 264 |
1146698 | 1146698 | 2021-03-22 | Lehigh | Pennsylvania | 42077 | 32671 | 799 |
1146699 | 1146699 | 2021-03-22 | Luzerne | Pennsylvania | 42079 | 26204 | 756 |
1146700 | 1146700 | 2021-03-22 | Lycoming | Pennsylvania | 42081 | 9846 | 257 |
1146701 | 1146701 | 2021-03-22 | McKean | Pennsylvania | 42083 | 3120 | 65 |
1146702 | 1146702 | 2021-03-22 | Mercer | Pennsylvania | 42085 | 8411 | 245 |
1146703 | 1146703 | 2021-03-22 | Mifflin | Pennsylvania | 42087 | 4703 | 175 |
1146704 | 1146704 | 2021-03-22 | Monroe | Pennsylvania | 42089 | 10761 | 283 |
1146705 | 1146705 | 2021-03-22 | Montgomery | Pennsylvania | 42091 | 57655 | 1593 |
1146706 | 1146706 | 2021-03-22 | Montour | Pennsylvania | 42093 | 1801 | 60 |
1146707 | 1146707 | 2021-03-22 | Northampton | Pennsylvania | 42095 | 28955 | 669 |
1146708 | 1146708 | 2021-03-22 | Northumberland | Pennsylvania | 42097 | 8360 | 330 |
1146709 | 1146709 | 2021-03-22 | Perry | Pennsylvania | 42099 | 3100 | 88 |
1146710 | 1146710 | 2021-03-22 | Philadelphia | Pennsylvania | 42101 | 125428 | 3231 |
1146711 | 1146711 | 2021-03-22 | Pike | Pennsylvania | 42103 | 2912 | 50 |
1146712 | 1146712 | 2021-03-22 | Potter | Pennsylvania | 42105 | 972 | 21 |
1146713 | 1146713 | 2021-03-22 | Schuylkill | Pennsylvania | 42107 | 12510 | 378 |
1146714 | 1146714 | 2021-03-22 | Snyder | Pennsylvania | 42109 | 3222 | 82 |
1146715 | 1146715 | 2021-03-22 | Somerset | Pennsylvania | 42111 | 6859 | 185 |
1146716 | 1146716 | 2021-03-22 | Sullivan | Pennsylvania | 42113 | 338 | 20 |
1146717 | 1146717 | 2021-03-22 | Susquehanna | Pennsylvania | 42115 | 1849 | 53 |
1146718 | 1146718 | 2021-03-22 | Tioga | Pennsylvania | 42117 | 2529 | 94 |
1146719 | 1146719 | 2021-03-22 | Union | Pennsylvania | 42119 | 5369 | 84 |
1146720 | 1146720 | 2021-03-22 | Venango | Pennsylvania | 42121 | 3492 | 89 |
1146721 | 1146721 | 2021-03-22 | Warren | Pennsylvania | 42123 | 2247 | 98 |
1146722 | 1146722 | 2021-03-22 | Washington | Pennsylvania | 42125 | 14484 | 271 |
1146723 | 1146723 | 2021-03-22 | Wayne | Pennsylvania | 42127 | 3265 | 69 |
1146724 | 1146724 | 2021-03-22 | Westmoreland | Pennsylvania | 42129 | 28221 | 698 |
1146725 | 1146725 | 2021-03-22 | Wyoming | Pennsylvania | 42131 | 1286 | 42 |
1146726 | 1146726 | 2021-03-22 | York | Pennsylvania | 42133 | 38027 | 743 |
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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);