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 2021-03-09 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 |
---|---|---|---|---|---|---|---|
1104455 | 1104455 | 2021-03-09 | Adams | Pennsylvania | 42001 | 7476 | 153 |
1104456 | 1104456 | 2021-03-09 | Allegheny | Pennsylvania | 42003 | 78705 | 1760 |
1104457 | 1104457 | 2021-03-09 | Armstrong | Pennsylvania | 42005 | 4950 | 116 |
1104458 | 1104458 | 2021-03-09 | Beaver | Pennsylvania | 42007 | 12534 | 351 |
1104459 | 1104459 | 2021-03-09 | Bedford | Pennsylvania | 42009 | 3847 | 129 |
1104460 | 1104460 | 2021-03-09 | Berks | Pennsylvania | 42011 | 36529 | 909 |
1104461 | 1104461 | 2021-03-09 | Blair | Pennsylvania | 42013 | 10741 | 305 |
1104462 | 1104462 | 2021-03-09 | Bradford | Pennsylvania | 42015 | 4456 | 79 |
1104463 | 1104463 | 2021-03-09 | Bucks | Pennsylvania | 42017 | 46408 | 1146 |
1104464 | 1104464 | 2021-03-09 | Butler | Pennsylvania | 42019 | 14192 | 372 |
1104465 | 1104465 | 2021-03-09 | Cambria | Pennsylvania | 42021 | 11875 | 396 |
1104466 | 1104466 | 2021-03-09 | Cameron | Pennsylvania | 42023 | 264 | 7 |
1104467 | 1104467 | 2021-03-09 | Carbon | Pennsylvania | 42025 | 4960 | 152 |
1104468 | 1104468 | 2021-03-09 | Centre | Pennsylvania | 42027 | 13177 | 213 |
1104469 | 1104469 | 2021-03-09 | Chester | Pennsylvania | 42029 | 31372 | 735 |
1104470 | 1104470 | 2021-03-09 | Clarion | Pennsylvania | 42031 | 2713 | 86 |
1104471 | 1104471 | 2021-03-09 | Clearfield | Pennsylvania | 42033 | 6495 | 117 |
1104472 | 1104472 | 2021-03-09 | Clinton | Pennsylvania | 42035 | 2871 | 57 |
1104473 | 1104473 | 2021-03-09 | Columbia | Pennsylvania | 42037 | 4711 | 125 |
1104474 | 1104474 | 2021-03-09 | Crawford | Pennsylvania | 42039 | 6480 | 138 |
1104475 | 1104475 | 2021-03-09 | Cumberland | Pennsylvania | 42041 | 16900 | 485 |
1104476 | 1104476 | 2021-03-09 | Dauphin | Pennsylvania | 42043 | 21081 | 501 |
1104477 | 1104477 | 2021-03-09 | Delaware | Pennsylvania | 42045 | 41923 | 1294 |
1104478 | 1104478 | 2021-03-09 | Elk | Pennsylvania | 42047 | 2358 | 36 |
1104479 | 1104479 | 2021-03-09 | Erie | Pennsylvania | 42049 | 17696 | 384 |
1104480 | 1104480 | 2021-03-09 | Fayette | Pennsylvania | 42051 | 10640 | 271 |
1104481 | 1104481 | 2021-03-09 | Forest | Pennsylvania | 42053 | 1387 | 21 |
1104482 | 1104482 | 2021-03-09 | Franklin | Pennsylvania | 42055 | 12725 | 328 |
1104483 | 1104483 | 2021-03-09 | Fulton | Pennsylvania | 42057 | 1145 | 14 |
1104484 | 1104484 | 2021-03-09 | Greene | Pennsylvania | 42059 | 2717 | 33 |
1104485 | 1104485 | 2021-03-09 | Huntingdon | Pennsylvania | 42061 | 4391 | 125 |
1104486 | 1104486 | 2021-03-09 | Indiana | Pennsylvania | 42063 | 5140 | 160 |
1104487 | 1104487 | 2021-03-09 | Jefferson | Pennsylvania | 42065 | 2842 | 90 |
1104488 | 1104488 | 2021-03-09 | Juniata | Pennsylvania | 42067 | 1845 | 81 |
1104489 | 1104489 | 2021-03-09 | Lackawanna | Pennsylvania | 42069 | 14325 | 427 |
1104490 | 1104490 | 2021-03-09 | Lancaster | Pennsylvania | 42071 | 44684 | 1056 |
1104491 | 1104491 | 2021-03-09 | Lawrence | Pennsylvania | 42073 | 6189 | 187 |
1104492 | 1104492 | 2021-03-09 | Lebanon | Pennsylvania | 42075 | 13056 | 261 |
1104493 | 1104493 | 2021-03-09 | Lehigh | Pennsylvania | 42077 | 31382 | 780 |
1104494 | 1104494 | 2021-03-09 | Luzerne | Pennsylvania | 42079 | 25335 | 744 |
1104495 | 1104495 | 2021-03-09 | Lycoming | Pennsylvania | 42081 | 9526 | 249 |
1104496 | 1104496 | 2021-03-09 | McKean | Pennsylvania | 42083 | 3083 | 64 |
1104497 | 1104497 | 2021-03-09 | Mercer | Pennsylvania | 42085 | 8283 | 242 |
1104498 | 1104498 | 2021-03-09 | Mifflin | Pennsylvania | 42087 | 4634 | 172 |
1104499 | 1104499 | 2021-03-09 | Monroe | Pennsylvania | 42089 | 10044 | 273 |
1104500 | 1104500 | 2021-03-09 | Montgomery | Pennsylvania | 42091 | 55442 | 1570 |
1104501 | 1104501 | 2021-03-09 | Montour | Pennsylvania | 42093 | 1760 | 60 |
1104502 | 1104502 | 2021-03-09 | Northampton | Pennsylvania | 42095 | 27564 | 654 |
1104503 | 1104503 | 2021-03-09 | Northumberland | Pennsylvania | 42097 | 8114 | 326 |
1104504 | 1104504 | 2021-03-09 | Perry | Pennsylvania | 42099 | 2969 | 86 |
1104505 | 1104505 | 2021-03-09 | Philadelphia | Pennsylvania | 42101 | 120966 | 3186 |
1104506 | 1104506 | 2021-03-09 | Pike | Pennsylvania | 42103 | 2659 | 48 |
1104507 | 1104507 | 2021-03-09 | Potter | Pennsylvania | 42105 | 957 | 21 |
1104508 | 1104508 | 2021-03-09 | Schuylkill | Pennsylvania | 42107 | 12226 | 372 |
1104509 | 1104509 | 2021-03-09 | Snyder | Pennsylvania | 42109 | 3123 | 81 |
1104510 | 1104510 | 2021-03-09 | Somerset | Pennsylvania | 42111 | 6750 | 186 |
1104511 | 1104511 | 2021-03-09 | Sullivan | Pennsylvania | 42113 | 317 | 20 |
1104512 | 1104512 | 2021-03-09 | Susquehanna | Pennsylvania | 42115 | 1746 | 53 |
1104513 | 1104513 | 2021-03-09 | Tioga | Pennsylvania | 42117 | 2474 | 94 |
1104514 | 1104514 | 2021-03-09 | Union | Pennsylvania | 42119 | 5292 | 82 |
1104515 | 1104515 | 2021-03-09 | Venango | Pennsylvania | 42121 | 3428 | 87 |
1104516 | 1104516 | 2021-03-09 | Warren | Pennsylvania | 42123 | 2214 | 98 |
1104517 | 1104517 | 2021-03-09 | Washington | Pennsylvania | 42125 | 14003 | 266 |
1104518 | 1104518 | 2021-03-09 | Wayne | Pennsylvania | 42127 | 3139 | 68 |
1104519 | 1104519 | 2021-03-09 | Westmoreland | Pennsylvania | 42129 | 27303 | 684 |
1104520 | 1104520 | 2021-03-09 | Wyoming | Pennsylvania | 42131 | 1193 | 42 |
1104521 | 1104521 | 2021-03-09 | York | Pennsylvania | 42133 | 36540 | 737 |
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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);