ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
65 rows where "date" is on date 2020-04-06 and state = "Pennsylvania" sorted by date descending
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fips >30
county >30
- 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
- Erie 1
- Fayette 1
- Forest 1
- Franklin 1
- Fulton 1
- Greene 1
- Huntingdon 1
- …
state 1
- Pennsylvania · 65 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
37391 | 37391 | 2020-04-06 | Adams | Pennsylvania | 42001 | 25 | 0 |
37392 | 37392 | 2020-04-06 | Allegheny | Pennsylvania | 42003 | 642 | 4 |
37393 | 37393 | 2020-04-06 | Armstrong | Pennsylvania | 42005 | 13 | 0 |
37394 | 37394 | 2020-04-06 | Beaver | Pennsylvania | 42007 | 96 | 6 |
37395 | 37395 | 2020-04-06 | Bedford | Pennsylvania | 42009 | 4 | 0 |
37396 | 37396 | 2020-04-06 | Berks | Pennsylvania | 42011 | 326 | 3 |
37397 | 37397 | 2020-04-06 | Blair | Pennsylvania | 42013 | 6 | 0 |
37398 | 37398 | 2020-04-06 | Bradford | Pennsylvania | 42015 | 10 | 0 |
37399 | 37399 | 2020-04-06 | Bucks | Pennsylvania | 42017 | 713 | 20 |
37400 | 37400 | 2020-04-06 | Butler | Pennsylvania | 42019 | 91 | 2 |
37401 | 37401 | 2020-04-06 | Cambria | Pennsylvania | 42021 | 7 | 0 |
37402 | 37402 | 2020-04-06 | Cameron | Pennsylvania | 42023 | 1 | 0 |
37403 | 37403 | 2020-04-06 | Carbon | Pennsylvania | 42025 | 59 | 1 |
37404 | 37404 | 2020-04-06 | Centre | Pennsylvania | 42027 | 44 | 0 |
37405 | 37405 | 2020-04-06 | Chester | Pennsylvania | 42029 | 307 | 3 |
37406 | 37406 | 2020-04-06 | Clarion | Pennsylvania | 42031 | 6 | 0 |
37407 | 37407 | 2020-04-06 | Clearfield | Pennsylvania | 42033 | 7 | 0 |
37408 | 37408 | 2020-04-06 | Clinton | Pennsylvania | 42035 | 3 | 0 |
37409 | 37409 | 2020-04-06 | Columbia | Pennsylvania | 42037 | 26 | 0 |
37410 | 37410 | 2020-04-06 | Crawford | Pennsylvania | 42039 | 9 | 0 |
37411 | 37411 | 2020-04-06 | Cumberland | Pennsylvania | 42041 | 68 | 2 |
37412 | 37412 | 2020-04-06 | Dauphin | Pennsylvania | 42043 | 132 | 1 |
37413 | 37413 | 2020-04-06 | Delaware | Pennsylvania | 42045 | 822 | 15 |
37414 | 37414 | 2020-04-06 | Erie | Pennsylvania | 42049 | 20 | 1 |
37415 | 37415 | 2020-04-06 | Fayette | Pennsylvania | 42051 | 29 | 1 |
37416 | 37416 | 2020-04-06 | Forest | Pennsylvania | 42053 | 4 | 0 |
37417 | 37417 | 2020-04-06 | Franklin | Pennsylvania | 42055 | 32 | 0 |
37418 | 37418 | 2020-04-06 | Fulton | Pennsylvania | 42057 | 1 | 0 |
37419 | 37419 | 2020-04-06 | Greene | Pennsylvania | 42059 | 12 | 0 |
37420 | 37420 | 2020-04-06 | Huntingdon | Pennsylvania | 42061 | 4 | 0 |
37421 | 37421 | 2020-04-06 | Indiana | Pennsylvania | 42063 | 17 | 0 |
37422 | 37422 | 2020-04-06 | Juniata | Pennsylvania | 42067 | 11 | 0 |
37423 | 37423 | 2020-04-06 | Lackawanna | Pennsylvania | 42069 | 190 | 7 |
37424 | 37424 | 2020-04-06 | Lancaster | Pennsylvania | 42071 | 408 | 11 |
37425 | 37425 | 2020-04-06 | Lawrence | Pennsylvania | 42073 | 24 | 2 |
37426 | 37426 | 2020-04-06 | Lebanon | Pennsylvania | 42075 | 124 | 0 |
37427 | 37427 | 2020-04-06 | Lehigh | Pennsylvania | 42077 | 1006 | 8 |
37428 | 37428 | 2020-04-06 | Luzerne | Pennsylvania | 42079 | 849 | 5 |
37429 | 37429 | 2020-04-06 | Lycoming | Pennsylvania | 42081 | 10 | 0 |
37430 | 37430 | 2020-04-06 | McKean | Pennsylvania | 42083 | 1 | 0 |
37431 | 37431 | 2020-04-06 | Mercer | Pennsylvania | 42085 | 18 | 0 |
37432 | 37432 | 2020-04-06 | Mifflin | Pennsylvania | 42087 | 5 | 0 |
37433 | 37433 | 2020-04-06 | Monroe | Pennsylvania | 42089 | 572 | 11 |
37434 | 37434 | 2020-04-06 | Montgomery | Pennsylvania | 42091 | 1230 | 22 |
37435 | 37435 | 2020-04-06 | Montour | Pennsylvania | 42093 | 33 | 0 |
37436 | 37436 | 2020-04-06 | Northampton | Pennsylvania | 42095 | 716 | 12 |
37437 | 37437 | 2020-04-06 | Northumberland | Pennsylvania | 42097 | 15 | 0 |
37438 | 37438 | 2020-04-06 | Perry | Pennsylvania | 42099 | 5 | 1 |
37439 | 37439 | 2020-04-06 | Philadelphia | Pennsylvania | 42101 | 3611 | 28 |
37440 | 37440 | 2020-04-06 | Pike | Pennsylvania | 42103 | 125 | 2 |
37441 | 37441 | 2020-04-06 | Potter | Pennsylvania | 42105 | 3 | 0 |
37442 | 37442 | 2020-04-06 | Schuylkill | Pennsylvania | 42107 | 103 | 0 |
37443 | 37443 | 2020-04-06 | Snyder | Pennsylvania | 42109 | 8 | 1 |
37444 | 37444 | 2020-04-06 | Somerset | Pennsylvania | 42111 | 6 | 0 |
37445 | 37445 | 2020-04-06 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
37446 | 37446 | 2020-04-06 | Susquehanna | Pennsylvania | 42115 | 6 | 0 |
37447 | 37447 | 2020-04-06 | Tioga | Pennsylvania | 42117 | 8 | 0 |
37448 | 37448 | 2020-04-06 | Union | Pennsylvania | 42119 | 6 | 0 |
37449 | 37449 | 2020-04-06 | Venango | Pennsylvania | 42121 | 5 | 0 |
37450 | 37450 | 2020-04-06 | Warren | Pennsylvania | 42123 | 1 | 0 |
37451 | 37451 | 2020-04-06 | Washington | Pennsylvania | 42125 | 53 | 0 |
37452 | 37452 | 2020-04-06 | Wayne | Pennsylvania | 42127 | 35 | 0 |
37453 | 37453 | 2020-04-06 | Westmoreland | Pennsylvania | 42129 | 157 | 0 |
37454 | 37454 | 2020-04-06 | Wyoming | Pennsylvania | 42131 | 5 | 0 |
37455 | 37455 | 2020-04-06 | York | Pennsylvania | 42133 | 189 | 1 |
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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);