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 2020-05-20 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 |
---|---|---|---|---|---|---|---|
162377 | 162377 | 2020-05-20 | Adams | Pennsylvania | 42001 | 197 | 5 |
162378 | 162378 | 2020-05-20 | Allegheny | Pennsylvania | 42003 | 1687 | 147 |
162379 | 162379 | 2020-05-20 | Armstrong | Pennsylvania | 42005 | 58 | 2 |
162380 | 162380 | 2020-05-20 | Beaver | Pennsylvania | 42007 | 539 | 70 |
162381 | 162381 | 2020-05-20 | Bedford | Pennsylvania | 42009 | 32 | 2 |
162382 | 162382 | 2020-05-20 | Berks | Pennsylvania | 42011 | 3763 | 273 |
162383 | 162383 | 2020-05-20 | Blair | Pennsylvania | 42013 | 39 | 1 |
162384 | 162384 | 2020-05-20 | Bradford | Pennsylvania | 42015 | 41 | 3 |
162385 | 162385 | 2020-05-20 | Bucks | Pennsylvania | 42017 | 4662 | 431 |
162386 | 162386 | 2020-05-20 | Butler | Pennsylvania | 42019 | 208 | 12 |
162387 | 162387 | 2020-05-20 | Cambria | Pennsylvania | 42021 | 54 | 2 |
162388 | 162388 | 2020-05-20 | Cameron | Pennsylvania | 42023 | 2 | 0 |
162389 | 162389 | 2020-05-20 | Carbon | Pennsylvania | 42025 | 219 | 22 |
162390 | 162390 | 2020-05-20 | Centre | Pennsylvania | 42027 | 133 | 5 |
162391 | 162391 | 2020-05-20 | Chester | Pennsylvania | 42029 | 2242 | 235 |
162392 | 162392 | 2020-05-20 | Clarion | Pennsylvania | 42031 | 25 | 2 |
162393 | 162393 | 2020-05-20 | Clearfield | Pennsylvania | 42033 | 33 | 0 |
162394 | 162394 | 2020-05-20 | Clinton | Pennsylvania | 42035 | 45 | 0 |
162395 | 162395 | 2020-05-20 | Columbia | Pennsylvania | 42037 | 340 | 29 |
162396 | 162396 | 2020-05-20 | Crawford | Pennsylvania | 42039 | 21 | 0 |
162397 | 162397 | 2020-05-20 | Cumberland | Pennsylvania | 42041 | 545 | 43 |
162398 | 162398 | 2020-05-20 | Dauphin | Pennsylvania | 42043 | 1012 | 51 |
162399 | 162399 | 2020-05-20 | Delaware | Pennsylvania | 42045 | 5844 | 491 |
162400 | 162400 | 2020-05-20 | Elk | Pennsylvania | 42047 | 6 | 0 |
162401 | 162401 | 2020-05-20 | Erie | Pennsylvania | 42049 | 163 | 4 |
162402 | 162402 | 2020-05-20 | Fayette | Pennsylvania | 42051 | 93 | 4 |
162403 | 162403 | 2020-05-20 | Forest | Pennsylvania | 42053 | 7 | 0 |
162404 | 162404 | 2020-05-20 | Franklin | Pennsylvania | 42055 | 662 | 27 |
162405 | 162405 | 2020-05-20 | Fulton | Pennsylvania | 42057 | 13 | 1 |
162406 | 162406 | 2020-05-20 | Greene | Pennsylvania | 42059 | 27 | 0 |
162407 | 162407 | 2020-05-20 | Huntingdon | Pennsylvania | 42061 | 215 | 1 |
162408 | 162408 | 2020-05-20 | Indiana | Pennsylvania | 42063 | 86 | 4 |
162409 | 162409 | 2020-05-20 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
162410 | 162410 | 2020-05-20 | Juniata | Pennsylvania | 42067 | 94 | 2 |
162411 | 162411 | 2020-05-20 | Lackawanna | Pennsylvania | 42069 | 1400 | 132 |
162412 | 162412 | 2020-05-20 | Lancaster | Pennsylvania | 42071 | 2599 | 271 |
162413 | 162413 | 2020-05-20 | Lawrence | Pennsylvania | 42073 | 73 | 8 |
162414 | 162414 | 2020-05-20 | Lebanon | Pennsylvania | 42075 | 885 | 24 |
162415 | 162415 | 2020-05-20 | Lehigh | Pennsylvania | 42077 | 3550 | 188 |
162416 | 162416 | 2020-05-20 | Luzerne | Pennsylvania | 42079 | 2572 | 128 |
162417 | 162417 | 2020-05-20 | Lycoming | Pennsylvania | 42081 | 152 | 9 |
162418 | 162418 | 2020-05-20 | McKean | Pennsylvania | 42083 | 11 | 1 |
162419 | 162419 | 2020-05-20 | Mercer | Pennsylvania | 42085 | 96 | 4 |
162420 | 162420 | 2020-05-20 | Mifflin | Pennsylvania | 42087 | 57 | 1 |
162421 | 162421 | 2020-05-20 | Monroe | Pennsylvania | 42089 | 1278 | 93 |
162422 | 162422 | 2020-05-20 | Montgomery | Pennsylvania | 42091 | 6154 | 596 |
162423 | 162423 | 2020-05-20 | Montour | Pennsylvania | 42093 | 50 | 0 |
162424 | 162424 | 2020-05-20 | Northampton | Pennsylvania | 42095 | 2779 | 182 |
162425 | 162425 | 2020-05-20 | Northumberland | Pennsylvania | 42097 | 150 | 2 |
162426 | 162426 | 2020-05-20 | Perry | Pennsylvania | 42099 | 42 | 1 |
162427 | 162427 | 2020-05-20 | Philadelphia | Pennsylvania | 42101 | 20359 | 1152 |
162428 | 162428 | 2020-05-20 | Pike | Pennsylvania | 42103 | 470 | 18 |
162429 | 162429 | 2020-05-20 | Potter | Pennsylvania | 42105 | 4 | 0 |
162430 | 162430 | 2020-05-20 | Schuylkill | Pennsylvania | 42107 | 541 | 21 |
162431 | 162431 | 2020-05-20 | Snyder | Pennsylvania | 42109 | 33 | 1 |
162432 | 162432 | 2020-05-20 | Somerset | Pennsylvania | 42111 | 37 | 0 |
162433 | 162433 | 2020-05-20 | Sullivan | Pennsylvania | 42113 | 2 | 0 |
162434 | 162434 | 2020-05-20 | Susquehanna | Pennsylvania | 42115 | 87 | 15 |
162435 | 162435 | 2020-05-20 | Tioga | Pennsylvania | 42117 | 16 | 2 |
162436 | 162436 | 2020-05-20 | Union | Pennsylvania | 42119 | 56 | 1 |
162437 | 162437 | 2020-05-20 | Venango | Pennsylvania | 42121 | 8 | 0 |
162438 | 162438 | 2020-05-20 | Warren | Pennsylvania | 42123 | 2 | 0 |
162439 | 162439 | 2020-05-20 | Washington | Pennsylvania | 42125 | 130 | 5 |
162440 | 162440 | 2020-05-20 | Wayne | Pennsylvania | 42127 | 110 | 7 |
162441 | 162441 | 2020-05-20 | Westmoreland | Pennsylvania | 42129 | 432 | 38 |
162442 | 162442 | 2020-05-20 | Wyoming | Pennsylvania | 42131 | 30 | 6 |
162443 | 162443 | 2020-05-20 | York | Pennsylvania | 42133 | 872 | 19 |
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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);