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 2021-09-23 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 |
---|---|---|---|---|---|---|---|
1747401 | 1747401 | 2021-09-23 | Adams | Pennsylvania | 42001 | 11666 | 196 |
1747402 | 1747402 | 2021-09-23 | Allegheny | Pennsylvania | 42003 | 118357 | 2131 |
1747403 | 1747403 | 2021-09-23 | Armstrong | Pennsylvania | 42005 | 7308 | 160 |
1747404 | 1747404 | 2021-09-23 | Beaver | Pennsylvania | 42007 | 18958 | 428 |
1747405 | 1747405 | 2021-09-23 | Bedford | Pennsylvania | 42009 | 5689 | 149 |
1747406 | 1747406 | 2021-09-23 | Berks | Pennsylvania | 42011 | 53705 | 1081 |
1747407 | 1747407 | 2021-09-23 | Blair | Pennsylvania | 42013 | 15056 | 354 |
1747408 | 1747408 | 2021-09-23 | Bradford | Pennsylvania | 42015 | 6747 | 106 |
1747409 | 1747409 | 2021-09-23 | Bucks | Pennsylvania | 42017 | 68042 | 1366 |
1747410 | 1747410 | 2021-09-23 | Butler | Pennsylvania | 42019 | 21561 | 440 |
1747411 | 1747411 | 2021-09-23 | Cambria | Pennsylvania | 42021 | 16789 | 457 |
1747412 | 1747412 | 2021-09-23 | Cameron | Pennsylvania | 42023 | 395 | 10 |
1747413 | 1747413 | 2021-09-23 | Carbon | Pennsylvania | 42025 | 7572 | 185 |
1747414 | 1747414 | 2021-09-23 | Centre | Pennsylvania | 42027 | 18951 | 234 |
1747415 | 1747415 | 2021-09-23 | Chester | Pennsylvania | 42029 | 46667 | 843 |
1747416 | 1747416 | 2021-09-23 | Clarion | Pennsylvania | 42031 | 3832 | 100 |
1747417 | 1747417 | 2021-09-23 | Clearfield | Pennsylvania | 42033 | 9913 | 175 |
1747418 | 1747418 | 2021-09-23 | Clinton | Pennsylvania | 42035 | 4214 | 71 |
1747419 | 1747419 | 2021-09-23 | Columbia | Pennsylvania | 42037 | 6829 | 141 |
1747420 | 1747420 | 2021-09-23 | Crawford | Pennsylvania | 42039 | 9178 | 169 |
1747421 | 1747421 | 2021-09-23 | Cumberland | Pennsylvania | 42041 | 24449 | 556 |
1747422 | 1747422 | 2021-09-23 | Dauphin | Pennsylvania | 42043 | 30702 | 587 |
1747423 | 1747423 | 2021-09-23 | Delaware | Pennsylvania | 42045 | 58449 | 1453 |
1747424 | 1747424 | 2021-09-23 | Elk | Pennsylvania | 42047 | 3461 | 48 |
1747425 | 1747425 | 2021-09-23 | Erie | Pennsylvania | 42049 | 24751 | 449 |
1747426 | 1747426 | 2021-09-23 | Fayette | Pennsylvania | 42051 | 15265 | 347 |
1747427 | 1747427 | 2021-09-23 | Forest | Pennsylvania | 42053 | 1503 | 22 |
1747428 | 1747428 | 2021-09-23 | Franklin | Pennsylvania | 42055 | 19092 | 405 |
1747429 | 1747429 | 2021-09-23 | Fulton | Pennsylvania | 42057 | 1826 | 23 |
1747430 | 1747430 | 2021-09-23 | Greene | Pennsylvania | 42059 | 4090 | 48 |
1747431 | 1747431 | 2021-09-23 | Huntingdon | Pennsylvania | 42061 | 5931 | 143 |
1747432 | 1747432 | 2021-09-23 | Indiana | Pennsylvania | 42063 | 7716 | 190 |
1747433 | 1747433 | 2021-09-23 | Jefferson | Pennsylvania | 42065 | 4001 | 103 |
1747434 | 1747434 | 2021-09-23 | Juniata | Pennsylvania | 42067 | 2527 | 101 |
1747435 | 1747435 | 2021-09-23 | Lackawanna | Pennsylvania | 42069 | 20711 | 498 |
1747436 | 1747436 | 2021-09-23 | Lancaster | Pennsylvania | 42071 | 64140 | 1223 |
1747437 | 1747437 | 2021-09-23 | Lawrence | Pennsylvania | 42073 | 9400 | 237 |
1747438 | 1747438 | 2021-09-23 | Lebanon | Pennsylvania | 42075 | 18628 | 310 |
1747439 | 1747439 | 2021-09-23 | Lehigh | Pennsylvania | 42077 | 45382 | 897 |
1747440 | 1747440 | 2021-09-23 | Luzerne | Pennsylvania | 42079 | 36294 | 864 |
1747441 | 1747441 | 2021-09-23 | Lycoming | Pennsylvania | 42081 | 13935 | 316 |
1747442 | 1747442 | 2021-09-23 | McKean | Pennsylvania | 42083 | 4258 | 76 |
1747443 | 1747443 | 2021-09-23 | Mercer | Pennsylvania | 42085 | 11680 | 284 |
1747444 | 1747444 | 2021-09-23 | Mifflin | Pennsylvania | 42087 | 6102 | 184 |
1747445 | 1747445 | 2021-09-23 | Monroe | Pennsylvania | 42089 | 17739 | 345 |
1747446 | 1747446 | 2021-09-23 | Montgomery | Pennsylvania | 42091 | 79577 | 1779 |
1747447 | 1747447 | 2021-09-23 | Montour | Pennsylvania | 42093 | 2220 | 68 |
1747448 | 1747448 | 2021-09-23 | Northampton | Pennsylvania | 42095 | 41353 | 749 |
1747449 | 1747449 | 2021-09-23 | Northumberland | Pennsylvania | 42097 | 11144 | 380 |
1747450 | 1747450 | 2021-09-23 | Perry | Pennsylvania | 42099 | 4602 | 105 |
1747451 | 1747451 | 2021-09-23 | Philadelphia | Pennsylvania | 42101 | 172505 | 3889 |
1747452 | 1747452 | 2021-09-23 | Pike | Pennsylvania | 42103 | 4742 | 57 |
1747453 | 1747453 | 2021-09-23 | Potter | Pennsylvania | 42105 | 1467 | 29 |
1747454 | 1747454 | 2021-09-23 | Schuylkill | Pennsylvania | 42107 | 16901 | 429 |
1747455 | 1747455 | 2021-09-23 | Snyder | Pennsylvania | 42109 | 4199 | 92 |
1747456 | 1747456 | 2021-09-23 | Somerset | Pennsylvania | 42111 | 9367 | 226 |
1747457 | 1747457 | 2021-09-23 | Sullivan | Pennsylvania | 42113 | 535 | 23 |
1747458 | 1747458 | 2021-09-23 | Susquehanna | Pennsylvania | 42115 | 3110 | 62 |
1747459 | 1747459 | 2021-09-23 | Tioga | Pennsylvania | 42117 | 3808 | 116 |
1747460 | 1747460 | 2021-09-23 | Union | Pennsylvania | 42119 | 6708 | 93 |
1747461 | 1747461 | 2021-09-23 | Venango | Pennsylvania | 42121 | 5020 | 109 |
1747462 | 1747462 | 2021-09-23 | Warren | Pennsylvania | 42123 | 3209 | 114 |
1747463 | 1747463 | 2021-09-23 | Washington | Pennsylvania | 42125 | 21932 | 339 |
1747464 | 1747464 | 2021-09-23 | Wayne | Pennsylvania | 42127 | 4979 | 94 |
1747465 | 1747465 | 2021-09-23 | Westmoreland | Pennsylvania | 42129 | 39792 | 828 |
1747466 | 1747466 | 2021-09-23 | Wyoming | Pennsylvania | 42131 | 2402 | 55 |
1747467 | 1747467 | 2021-09-23 | York | Pennsylvania | 42133 | 54722 | 889 |
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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);