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 2020-05-19 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 |
---|---|---|---|---|---|---|---|
159350 | 159350 | 2020-05-19 | Adams | Pennsylvania | 42001 | 194 | 5 |
159351 | 159351 | 2020-05-19 | Allegheny | Pennsylvania | 42003 | 1658 | 145 |
159352 | 159352 | 2020-05-19 | Armstrong | Pennsylvania | 42005 | 58 | 2 |
159353 | 159353 | 2020-05-19 | Beaver | Pennsylvania | 42007 | 534 | 70 |
159354 | 159354 | 2020-05-19 | Bedford | Pennsylvania | 42009 | 32 | 2 |
159355 | 159355 | 2020-05-19 | Berks | Pennsylvania | 42011 | 3735 | 262 |
159356 | 159356 | 2020-05-19 | Blair | Pennsylvania | 42013 | 38 | 1 |
159357 | 159357 | 2020-05-19 | Bradford | Pennsylvania | 42015 | 41 | 5 |
159358 | 159358 | 2020-05-19 | Bucks | Pennsylvania | 42017 | 4573 | 426 |
159359 | 159359 | 2020-05-19 | Butler | Pennsylvania | 42019 | 206 | 12 |
159360 | 159360 | 2020-05-19 | Cambria | Pennsylvania | 42021 | 54 | 2 |
159361 | 159361 | 2020-05-19 | Cameron | Pennsylvania | 42023 | 2 | 0 |
159362 | 159362 | 2020-05-19 | Carbon | Pennsylvania | 42025 | 214 | 22 |
159363 | 159363 | 2020-05-19 | Centre | Pennsylvania | 42027 | 132 | 5 |
159364 | 159364 | 2020-05-19 | Chester | Pennsylvania | 42029 | 2242 | 230 |
159365 | 159365 | 2020-05-19 | Clarion | Pennsylvania | 42031 | 24 | 2 |
159366 | 159366 | 2020-05-19 | Clearfield | Pennsylvania | 42033 | 33 | 0 |
159367 | 159367 | 2020-05-19 | Clinton | Pennsylvania | 42035 | 45 | 0 |
159368 | 159368 | 2020-05-19 | Columbia | Pennsylvania | 42037 | 337 | 29 |
159369 | 159369 | 2020-05-19 | Crawford | Pennsylvania | 42039 | 21 | 0 |
159370 | 159370 | 2020-05-19 | Cumberland | Pennsylvania | 42041 | 540 | 42 |
159371 | 159371 | 2020-05-19 | Dauphin | Pennsylvania | 42043 | 989 | 50 |
159372 | 159372 | 2020-05-19 | Delaware | Pennsylvania | 42045 | 5807 | 491 |
159373 | 159373 | 2020-05-19 | Elk | Pennsylvania | 42047 | 6 | 0 |
159374 | 159374 | 2020-05-19 | Erie | Pennsylvania | 42049 | 147 | 4 |
159375 | 159375 | 2020-05-19 | Fayette | Pennsylvania | 42051 | 92 | 4 |
159376 | 159376 | 2020-05-19 | Forest | Pennsylvania | 42053 | 7 | 0 |
159377 | 159377 | 2020-05-19 | Franklin | Pennsylvania | 42055 | 644 | 27 |
159378 | 159378 | 2020-05-19 | Fulton | Pennsylvania | 42057 | 12 | 1 |
159379 | 159379 | 2020-05-19 | Greene | Pennsylvania | 42059 | 27 | 0 |
159380 | 159380 | 2020-05-19 | Huntingdon | Pennsylvania | 42061 | 214 | 0 |
159381 | 159381 | 2020-05-19 | Indiana | Pennsylvania | 42063 | 86 | 4 |
159382 | 159382 | 2020-05-19 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
159383 | 159383 | 2020-05-19 | Juniata | Pennsylvania | 42067 | 94 | 2 |
159384 | 159384 | 2020-05-19 | Lackawanna | Pennsylvania | 42069 | 1374 | 127 |
159385 | 159385 | 2020-05-19 | Lancaster | Pennsylvania | 42071 | 2593 | 267 |
159386 | 159386 | 2020-05-19 | Lawrence | Pennsylvania | 42073 | 73 | 8 |
159387 | 159387 | 2020-05-19 | Lebanon | Pennsylvania | 42075 | 880 | 24 |
159388 | 159388 | 2020-05-19 | Lehigh | Pennsylvania | 42077 | 3513 | 182 |
159389 | 159389 | 2020-05-19 | Luzerne | Pennsylvania | 42079 | 2554 | 124 |
159390 | 159390 | 2020-05-19 | Lycoming | Pennsylvania | 42081 | 149 | 9 |
159391 | 159391 | 2020-05-19 | McKean | Pennsylvania | 42083 | 11 | 1 |
159392 | 159392 | 2020-05-19 | Mercer | Pennsylvania | 42085 | 96 | 4 |
159393 | 159393 | 2020-05-19 | Mifflin | Pennsylvania | 42087 | 57 | 1 |
159394 | 159394 | 2020-05-19 | Monroe | Pennsylvania | 42089 | 1267 | 89 |
159395 | 159395 | 2020-05-19 | Montgomery | Pennsylvania | 42091 | 6063 | 575 |
159396 | 159396 | 2020-05-19 | Montour | Pennsylvania | 42093 | 50 | 0 |
159397 | 159397 | 2020-05-19 | Northampton | Pennsylvania | 42095 | 2758 | 176 |
159398 | 159398 | 2020-05-19 | Northumberland | Pennsylvania | 42097 | 145 | 2 |
159399 | 159399 | 2020-05-19 | Perry | Pennsylvania | 42099 | 41 | 1 |
159400 | 159400 | 2020-05-19 | Philadelphia | Pennsylvania | 42101 | 20129 | 1109 |
159401 | 159401 | 2020-05-19 | Pike | Pennsylvania | 42103 | 469 | 17 |
159402 | 159402 | 2020-05-19 | Potter | Pennsylvania | 42105 | 4 | 0 |
159403 | 159403 | 2020-05-19 | Schuylkill | Pennsylvania | 42107 | 534 | 21 |
159404 | 159404 | 2020-05-19 | Snyder | Pennsylvania | 42109 | 33 | 1 |
159405 | 159405 | 2020-05-19 | Somerset | Pennsylvania | 42111 | 36 | 0 |
159406 | 159406 | 2020-05-19 | Sullivan | Pennsylvania | 42113 | 2 | 0 |
159407 | 159407 | 2020-05-19 | Susquehanna | Pennsylvania | 42115 | 85 | 15 |
159408 | 159408 | 2020-05-19 | Tioga | Pennsylvania | 42117 | 16 | 2 |
159409 | 159409 | 2020-05-19 | Union | Pennsylvania | 42119 | 50 | 1 |
159410 | 159410 | 2020-05-19 | Venango | Pennsylvania | 42121 | 8 | 0 |
159411 | 159411 | 2020-05-19 | Warren | Pennsylvania | 42123 | 2 | 1 |
159412 | 159412 | 2020-05-19 | Washington | Pennsylvania | 42125 | 130 | 5 |
159413 | 159413 | 2020-05-19 | Wayne | Pennsylvania | 42127 | 110 | 7 |
159414 | 159414 | 2020-05-19 | Westmoreland | Pennsylvania | 42129 | 431 | 32 |
159415 | 159415 | 2020-05-19 | Wyoming | Pennsylvania | 42131 | 30 | 5 |
159416 | 159416 | 2020-05-19 | York | Pennsylvania | 42133 | 866 | 18 |
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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);