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 2022-02-24 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
2248007 | 2248007 | 2022-02-24 | Adams | Pennsylvania | 42001 | 24452 | 349 |
2248008 | 2248008 | 2022-02-24 | Allegheny | Pennsylvania | 42003 | 260022 | 3186 |
2248009 | 2248009 | 2022-02-24 | Armstrong | Pennsylvania | 42005 | 15084 | 329 |
2248010 | 2248010 | 2022-02-24 | Beaver | Pennsylvania | 42007 | 39635 | 705 |
2248011 | 2248011 | 2022-02-24 | Bedford | Pennsylvania | 42009 | 10853 | 266 |
2248012 | 2248012 | 2022-02-24 | Berks | Pennsylvania | 42011 | 101429 | 1565 |
2248013 | 2248013 | 2022-02-24 | Blair | Pennsylvania | 42013 | 29296 | 594 |
2248014 | 2248014 | 2022-02-24 | Bradford | Pennsylvania | 42015 | 14781 | 192 |
2248015 | 2248015 | 2022-02-24 | Bucks | Pennsylvania | 42017 | 121674 | 1824 |
2248016 | 2248016 | 2022-02-24 | Butler | Pennsylvania | 42019 | 43963 | 698 |
2248017 | 2248017 | 2022-02-24 | Cambria | Pennsylvania | 42021 | 34196 | 701 |
2248018 | 2248018 | 2022-02-24 | Cameron | Pennsylvania | 42023 | 811 | 19 |
2248019 | 2248019 | 2022-02-24 | Carbon | Pennsylvania | 42025 | 15706 | 281 |
2248020 | 2248020 | 2022-02-24 | Centre | Pennsylvania | 42027 | 34638 | 335 |
2248021 | 2248021 | 2022-02-24 | Chester | Pennsylvania | 42029 | 90329 | 1109 |
2248022 | 2248022 | 2022-02-24 | Clarion | Pennsylvania | 42031 | 8137 | 197 |
2248023 | 2248023 | 2022-02-24 | Clearfield | Pennsylvania | 42033 | 18967 | 321 |
2248024 | 2248024 | 2022-02-24 | Clinton | Pennsylvania | 42035 | 8948 | 123 |
2248025 | 2248025 | 2022-02-24 | Columbia | Pennsylvania | 42037 | 14830 | 236 |
2248026 | 2248026 | 2022-02-24 | Crawford | Pennsylvania | 42039 | 19599 | 304 |
2248027 | 2248027 | 2022-02-24 | Cumberland | Pennsylvania | 42041 | 50295 | 858 |
2248028 | 2248028 | 2022-02-24 | Dauphin | Pennsylvania | 42043 | 58564 | 921 |
2248029 | 2248029 | 2022-02-24 | Delaware | Pennsylvania | 42045 | 108643 | 1814 |
2248030 | 2248030 | 2022-02-24 | Elk | Pennsylvania | 42047 | 7049 | 95 |
2248031 | 2248031 | 2022-02-24 | Erie | Pennsylvania | 42049 | 56356 | 735 |
2248032 | 2248032 | 2022-02-24 | Fayette | Pennsylvania | 42051 | 30510 | 628 |
2248033 | 2248033 | 2022-02-24 | Forest | Pennsylvania | 42053 | 2222 | 35 |
2248034 | 2248034 | 2022-02-24 | Franklin | Pennsylvania | 42055 | 39959 | 662 |
2248035 | 2248035 | 2022-02-24 | Fulton | Pennsylvania | 42057 | 4067 | 64 |
2248036 | 2248036 | 2022-02-24 | Greene | Pennsylvania | 42059 | 8297 | 98 |
2248037 | 2248037 | 2022-02-24 | Huntingdon | Pennsylvania | 42061 | 11367 | 238 |
2248038 | 2248038 | 2022-02-24 | Indiana | Pennsylvania | 42063 | 17127 | 340 |
2248039 | 2248039 | 2022-02-24 | Jefferson | Pennsylvania | 42065 | 8830 | 214 |
2248040 | 2248040 | 2022-02-24 | Juniata | Pennsylvania | 42067 | 4728 | 174 |
2248041 | 2248041 | 2022-02-24 | Lackawanna | Pennsylvania | 42069 | 42665 | 722 |
2248042 | 2248042 | 2022-02-24 | Lancaster | Pennsylvania | 42071 | 119897 | 1836 |
2248043 | 2248043 | 2022-02-24 | Lawrence | Pennsylvania | 42073 | 18715 | 401 |
2248044 | 2248044 | 2022-02-24 | Lebanon | Pennsylvania | 42075 | 36276 | 498 |
2248045 | 2248045 | 2022-02-24 | Lehigh | Pennsylvania | 42077 | 88686 | 1214 |
2248046 | 2248046 | 2022-02-24 | Luzerne | Pennsylvania | 42079 | 72602 | 1295 |
2248047 | 2248047 | 2022-02-24 | Lycoming | Pennsylvania | 42081 | 28160 | 500 |
2248048 | 2248048 | 2022-02-24 | McKean | Pennsylvania | 42083 | 8050 | 132 |
2248049 | 2248049 | 2022-02-24 | Mercer | Pennsylvania | 42085 | 23136 | 482 |
2248050 | 2248050 | 2022-02-24 | Mifflin | Pennsylvania | 42087 | 12156 | 268 |
2248051 | 2248051 | 2022-02-24 | Monroe | Pennsylvania | 42089 | 36586 | 504 |
2248052 | 2248052 | 2022-02-24 | Montgomery | Pennsylvania | 42091 | 149527 | 2262 |
2248053 | 2248053 | 2022-02-24 | Montour | Pennsylvania | 42093 | 4436 | 89 |
2248054 | 2248054 | 2022-02-24 | Northampton | Pennsylvania | 42095 | 78693 | 1066 |
2248055 | 2248055 | 2022-02-24 | Northumberland | Pennsylvania | 42097 | 22588 | 515 |
2248056 | 2248056 | 2022-02-24 | Perry | Pennsylvania | 42099 | 8756 | 178 |
2248057 | 2248057 | 2022-02-24 | Philadelphia | Pennsylvania | 42101 | 304068 | 4950 |
2248058 | 2248058 | 2022-02-24 | Pike | Pennsylvania | 42103 | 9841 | 92 |
2248059 | 2248059 | 2022-02-24 | Potter | Pennsylvania | 42105 | 3103 | 90 |
2248060 | 2248060 | 2022-02-24 | Schuylkill | Pennsylvania | 42107 | 34042 | 656 |
2248061 | 2248061 | 2022-02-24 | Snyder | Pennsylvania | 42109 | 8010 | 150 |
2248062 | 2248062 | 2022-02-24 | Somerset | Pennsylvania | 42111 | 18528 | 394 |
2248063 | 2248063 | 2022-02-24 | Sullivan | Pennsylvania | 42113 | 1038 | 36 |
2248064 | 2248064 | 2022-02-24 | Susquehanna | Pennsylvania | 42115 | 7589 | 104 |
2248065 | 2248065 | 2022-02-24 | Tioga | Pennsylvania | 42117 | 7834 | 188 |
2248066 | 2248066 | 2022-02-24 | Union | Pennsylvania | 42119 | 11512 | 148 |
2248067 | 2248067 | 2022-02-24 | Venango | Pennsylvania | 42121 | 11149 | 229 |
2248068 | 2248068 | 2022-02-24 | Warren | Pennsylvania | 42123 | 7198 | 207 |
2248069 | 2248069 | 2022-02-24 | Washington | Pennsylvania | 42125 | 50227 | 626 |
2248070 | 2248070 | 2022-02-24 | Wayne | Pennsylvania | 42127 | 9954 | 161 |
2248071 | 2248071 | 2022-02-24 | Westmoreland | Pennsylvania | 42129 | 78785 | 1326 |
2248072 | 2248072 | 2022-02-24 | Wyoming | Pennsylvania | 42131 | 5009 | 100 |
2248073 | 2248073 | 2022-02-24 | York | Pennsylvania | 42133 | 117449 | 1440 |
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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);