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 2020-12-05 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 |
---|---|---|---|---|---|---|---|
799374 | 799374 | 2020-12-05 | Adams | Pennsylvania | 42001 | 2424 | 50 |
799375 | 799375 | 2020-12-05 | Allegheny | Pennsylvania | 42003 | 32651 | 575 |
799376 | 799376 | 2020-12-05 | Armstrong | Pennsylvania | 42005 | 2057 | 47 |
799377 | 799377 | 2020-12-05 | Beaver | Pennsylvania | 42007 | 4843 | 166 |
799378 | 799378 | 2020-12-05 | Bedford | Pennsylvania | 42009 | 1815 | 49 |
799379 | 799379 | 2020-12-05 | Berks | Pennsylvania | 42011 | 15514 | 472 |
799380 | 799380 | 2020-12-05 | Blair | Pennsylvania | 42013 | 4946 | 81 |
799381 | 799381 | 2020-12-05 | Bradford | Pennsylvania | 42015 | 2092 | 43 |
799382 | 799382 | 2020-12-05 | Bucks | Pennsylvania | 42017 | 20128 | 718 |
799383 | 799383 | 2020-12-05 | Butler | Pennsylvania | 42019 | 5255 | 92 |
799384 | 799384 | 2020-12-05 | Cambria | Pennsylvania | 42021 | 5529 | 100 |
799385 | 799385 | 2020-12-05 | Cameron | Pennsylvania | 42023 | 32 | 0 |
799386 | 799386 | 2020-12-05 | Carbon | Pennsylvania | 42025 | 1618 | 59 |
799387 | 799387 | 2020-12-05 | Centre | Pennsylvania | 42027 | 6753 | 77 |
799388 | 799388 | 2020-12-05 | Chester | Pennsylvania | 42029 | 13686 | 416 |
799389 | 799389 | 2020-12-05 | Clarion | Pennsylvania | 42031 | 1198 | 11 |
799390 | 799390 | 2020-12-05 | Clearfield | Pennsylvania | 42033 | 2121 | 21 |
799391 | 799391 | 2020-12-05 | Clinton | Pennsylvania | 42035 | 890 | 13 |
799392 | 799392 | 2020-12-05 | Columbia | Pennsylvania | 42037 | 1610 | 51 |
799393 | 799393 | 2020-12-05 | Crawford | Pennsylvania | 42039 | 2370 | 30 |
799394 | 799394 | 2020-12-05 | Cumberland | Pennsylvania | 42041 | 6228 | 168 |
799395 | 799395 | 2020-12-05 | Dauphin | Pennsylvania | 42043 | 8894 | 225 |
799396 | 799396 | 2020-12-05 | Delaware | Pennsylvania | 42045 | 21953 | 873 |
799397 | 799397 | 2020-12-05 | Elk | Pennsylvania | 42047 | 651 | 8 |
799398 | 799398 | 2020-12-05 | Erie | Pennsylvania | 42049 | 6510 | 88 |
799399 | 799399 | 2020-12-05 | Fayette | Pennsylvania | 42051 | 2796 | 26 |
799400 | 799400 | 2020-12-05 | Forest | Pennsylvania | 42053 | 114 | 1 |
799401 | 799401 | 2020-12-05 | Franklin | Pennsylvania | 42055 | 5423 | 133 |
799402 | 799402 | 2020-12-05 | Fulton | Pennsylvania | 42057 | 384 | 7 |
799403 | 799403 | 2020-12-05 | Greene | Pennsylvania | 42059 | 882 | 5 |
799404 | 799404 | 2020-12-05 | Huntingdon | Pennsylvania | 42061 | 1928 | 62 |
799405 | 799405 | 2020-12-05 | Indiana | Pennsylvania | 42063 | 2893 | 55 |
799406 | 799406 | 2020-12-05 | Jefferson | Pennsylvania | 42065 | 1039 | 7 |
799407 | 799407 | 2020-12-05 | Juniata | Pennsylvania | 42067 | 808 | 17 |
799408 | 799408 | 2020-12-05 | Lackawanna | Pennsylvania | 42069 | 5729 | 234 |
799409 | 799409 | 2020-12-05 | Lancaster | Pennsylvania | 42071 | 18904 | 550 |
799410 | 799410 | 2020-12-05 | Lawrence | Pennsylvania | 42073 | 2597 | 77 |
799411 | 799411 | 2020-12-05 | Lebanon | Pennsylvania | 42075 | 6040 | 120 |
799412 | 799412 | 2020-12-05 | Lehigh | Pennsylvania | 42077 | 12930 | 399 |
799413 | 799413 | 2020-12-05 | Luzerne | Pennsylvania | 42079 | 11071 | 319 |
799414 | 799414 | 2020-12-05 | Lycoming | Pennsylvania | 42081 | 2751 | 47 |
799415 | 799415 | 2020-12-05 | McKean | Pennsylvania | 42083 | 600 | 4 |
799416 | 799416 | 2020-12-05 | Mercer | Pennsylvania | 42085 | 3468 | 57 |
799417 | 799417 | 2020-12-05 | Mifflin | Pennsylvania | 42087 | 2237 | 51 |
799418 | 799418 | 2020-12-05 | Monroe | Pennsylvania | 42089 | 3918 | 159 |
799419 | 799419 | 2020-12-05 | Montgomery | Pennsylvania | 42091 | 24495 | 961 |
799420 | 799420 | 2020-12-05 | Montour | Pennsylvania | 42093 | 982 | 16 |
799421 | 799421 | 2020-12-05 | Northampton | Pennsylvania | 42095 | 10327 | 344 |
799422 | 799422 | 2020-12-05 | Northumberland | Pennsylvania | 42097 | 3028 | 141 |
799423 | 799423 | 2020-12-05 | Perry | Pennsylvania | 42099 | 804 | 14 |
799424 | 799424 | 2020-12-05 | Philadelphia | Pennsylvania | 42101 | 72314 | 2106 |
799425 | 799425 | 2020-12-05 | Pike | Pennsylvania | 42103 | 945 | 27 |
799426 | 799426 | 2020-12-05 | Potter | Pennsylvania | 42105 | 326 | 6 |
799427 | 799427 | 2020-12-05 | Schuylkill | Pennsylvania | 42107 | 4641 | 196 |
799428 | 799428 | 2020-12-05 | Snyder | Pennsylvania | 42109 | 1182 | 24 |
799429 | 799429 | 2020-12-05 | Somerset | Pennsylvania | 42111 | 2365 | 21 |
799430 | 799430 | 2020-12-05 | Sullivan | Pennsylvania | 42113 | 81 | 1 |
799431 | 799431 | 2020-12-05 | Susquehanna | Pennsylvania | 42115 | 676 | 36 |
799432 | 799432 | 2020-12-05 | Tioga | Pennsylvania | 42117 | 1185 | 30 |
799433 | 799433 | 2020-12-05 | Union | Pennsylvania | 42119 | 1870 | 19 |
799434 | 799434 | 2020-12-05 | Venango | Pennsylvania | 42121 | 1174 | 11 |
799435 | 799435 | 2020-12-05 | Warren | Pennsylvania | 42123 | 412 | 1 |
799436 | 799436 | 2020-12-05 | Washington | Pennsylvania | 42125 | 5348 | 75 |
799437 | 799437 | 2020-12-05 | Wayne | Pennsylvania | 42127 | 668 | 12 |
799438 | 799438 | 2020-12-05 | Westmoreland | Pennsylvania | 42129 | 10892 | 239 |
799439 | 799439 | 2020-12-05 | Wyoming | Pennsylvania | 42131 | 505 | 27 |
799440 | 799440 | 2020-12-05 | York | Pennsylvania | 42133 | 13573 | 261 |
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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);