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 2022-03-10 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 |
---|---|---|---|---|---|---|---|
2293533 | 2293533 | 2022-03-10 | Adams | Pennsylvania | 42001 | 24614 | 354 |
2293534 | 2293534 | 2022-03-10 | Allegheny | Pennsylvania | 42003 | 261789 | 3244 |
2293535 | 2293535 | 2022-03-10 | Armstrong | Pennsylvania | 42005 | 15172 | 336 |
2293536 | 2293536 | 2022-03-10 | Beaver | Pennsylvania | 42007 | 39935 | 714 |
2293537 | 2293537 | 2022-03-10 | Bedford | Pennsylvania | 42009 | 10917 | 271 |
2293538 | 2293538 | 2022-03-10 | Berks | Pennsylvania | 42011 | 101820 | 1580 |
2293539 | 2293539 | 2022-03-10 | Blair | Pennsylvania | 42013 | 29499 | 600 |
2293540 | 2293540 | 2022-03-10 | Bradford | Pennsylvania | 42015 | 14923 | 195 |
2293541 | 2293541 | 2022-03-10 | Bucks | Pennsylvania | 42017 | 122181 | 1854 |
2293542 | 2293542 | 2022-03-10 | Butler | Pennsylvania | 42019 | 44185 | 716 |
2293543 | 2293543 | 2022-03-10 | Cambria | Pennsylvania | 42021 | 34392 | 710 |
2293544 | 2293544 | 2022-03-10 | Cameron | Pennsylvania | 42023 | 813 | 19 |
2293545 | 2293545 | 2022-03-10 | Carbon | Pennsylvania | 42025 | 15775 | 285 |
2293546 | 2293546 | 2022-03-10 | Centre | Pennsylvania | 42027 | 34876 | 345 |
2293547 | 2293547 | 2022-03-10 | Chester | Pennsylvania | 42029 | 90913 | 1126 |
2293548 | 2293548 | 2022-03-10 | Clarion | Pennsylvania | 42031 | 8185 | 199 |
2293549 | 2293549 | 2022-03-10 | Clearfield | Pennsylvania | 42033 | 19148 | 332 |
2293550 | 2293550 | 2022-03-10 | Clinton | Pennsylvania | 42035 | 8996 | 124 |
2293551 | 2293551 | 2022-03-10 | Columbia | Pennsylvania | 42037 | 14959 | 242 |
2293552 | 2293552 | 2022-03-10 | Crawford | Pennsylvania | 42039 | 19690 | 311 |
2293553 | 2293553 | 2022-03-10 | Cumberland | Pennsylvania | 42041 | 50648 | 871 |
2293554 | 2293554 | 2022-03-10 | Dauphin | Pennsylvania | 42043 | 58846 | 941 |
2293555 | 2293555 | 2022-03-10 | Delaware | Pennsylvania | 42045 | 109118 | 1844 |
2293556 | 2293556 | 2022-03-10 | Elk | Pennsylvania | 42047 | 7091 | 97 |
2293557 | 2293557 | 2022-03-10 | Erie | Pennsylvania | 42049 | 56717 | 740 |
2293558 | 2293558 | 2022-03-10 | Fayette | Pennsylvania | 42051 | 30798 | 654 |
2293559 | 2293559 | 2022-03-10 | Forest | Pennsylvania | 42053 | 2234 | 35 |
2293560 | 2293560 | 2022-03-10 | Franklin | Pennsylvania | 42055 | 40157 | 675 |
2293561 | 2293561 | 2022-03-10 | Fulton | Pennsylvania | 42057 | 4097 | 65 |
2293562 | 2293562 | 2022-03-10 | Greene | Pennsylvania | 42059 | 8383 | 100 |
2293563 | 2293563 | 2022-03-10 | Huntingdon | Pennsylvania | 42061 | 11448 | 240 |
2293564 | 2293564 | 2022-03-10 | Indiana | Pennsylvania | 42063 | 17295 | 347 |
2293565 | 2293565 | 2022-03-10 | Jefferson | Pennsylvania | 42065 | 8928 | 223 |
2293566 | 2293566 | 2022-03-10 | Juniata | Pennsylvania | 42067 | 4752 | 174 |
2293567 | 2293567 | 2022-03-10 | Lackawanna | Pennsylvania | 42069 | 43047 | 737 |
2293568 | 2293568 | 2022-03-10 | Lancaster | Pennsylvania | 42071 | 120391 | 1865 |
2293569 | 2293569 | 2022-03-10 | Lawrence | Pennsylvania | 42073 | 18813 | 408 |
2293570 | 2293570 | 2022-03-10 | Lebanon | Pennsylvania | 42075 | 36381 | 505 |
2293571 | 2293571 | 2022-03-10 | Lehigh | Pennsylvania | 42077 | 88960 | 1228 |
2293572 | 2293572 | 2022-03-10 | Luzerne | Pennsylvania | 42079 | 73094 | 1321 |
2293573 | 2293573 | 2022-03-10 | Lycoming | Pennsylvania | 42081 | 28291 | 507 |
2293574 | 2293574 | 2022-03-10 | McKean | Pennsylvania | 42083 | 8123 | 138 |
2293575 | 2293575 | 2022-03-10 | Mercer | Pennsylvania | 42085 | 23224 | 491 |
2293576 | 2293576 | 2022-03-10 | Mifflin | Pennsylvania | 42087 | 12229 | 274 |
2293577 | 2293577 | 2022-03-10 | Monroe | Pennsylvania | 42089 | 36717 | 514 |
2293578 | 2293578 | 2022-03-10 | Montgomery | Pennsylvania | 42091 | 150402 | 2286 |
2293579 | 2293579 | 2022-03-10 | Montour | Pennsylvania | 42093 | 4489 | 91 |
2293580 | 2293580 | 2022-03-10 | Northampton | Pennsylvania | 42095 | 78999 | 1076 |
2293581 | 2293581 | 2022-03-10 | Northumberland | Pennsylvania | 42097 | 22708 | 525 |
2293582 | 2293582 | 2022-03-10 | Perry | Pennsylvania | 42099 | 8797 | 180 |
2293583 | 2293583 | 2022-03-10 | Philadelphia | Pennsylvania | 42101 | 305927 | 5015 |
2293584 | 2293584 | 2022-03-10 | Pike | Pennsylvania | 42103 | 9950 | 93 |
2293585 | 2293585 | 2022-03-10 | Potter | Pennsylvania | 42105 | 3142 | 91 |
2293586 | 2293586 | 2022-03-10 | Schuylkill | Pennsylvania | 42107 | 34268 | 662 |
2293587 | 2293587 | 2022-03-10 | Snyder | Pennsylvania | 42109 | 8075 | 154 |
2293588 | 2293588 | 2022-03-10 | Somerset | Pennsylvania | 42111 | 18629 | 396 |
2293589 | 2293589 | 2022-03-10 | Sullivan | Pennsylvania | 42113 | 1046 | 36 |
2293590 | 2293590 | 2022-03-10 | Susquehanna | Pennsylvania | 42115 | 7672 | 107 |
2293591 | 2293591 | 2022-03-10 | Tioga | Pennsylvania | 42117 | 7912 | 190 |
2293592 | 2293592 | 2022-03-10 | Union | Pennsylvania | 42119 | 11641 | 151 |
2293593 | 2293593 | 2022-03-10 | Venango | Pennsylvania | 42121 | 11200 | 233 |
2293594 | 2293594 | 2022-03-10 | Warren | Pennsylvania | 42123 | 7272 | 207 |
2293595 | 2293595 | 2022-03-10 | Washington | Pennsylvania | 42125 | 50507 | 638 |
2293596 | 2293596 | 2022-03-10 | Wayne | Pennsylvania | 42127 | 10032 | 167 |
2293597 | 2293597 | 2022-03-10 | Westmoreland | Pennsylvania | 42129 | 79267 | 1351 |
2293598 | 2293598 | 2022-03-10 | Wyoming | Pennsylvania | 42131 | 5041 | 103 |
2293599 | 2293599 | 2022-03-10 | York | Pennsylvania | 42133 | 118091 | 1464 |
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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);