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 2020-06-07 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
217476 | 217476 | 2020-06-07 | Adams | Pennsylvania | 42001 | 273 | 8 |
217477 | 217477 | 2020-06-07 | Allegheny | Pennsylvania | 42003 | 2003 | 168 |
217478 | 217478 | 2020-06-07 | Armstrong | Pennsylvania | 42005 | 65 | 5 |
217479 | 217479 | 2020-06-07 | Beaver | Pennsylvania | 42007 | 603 | 74 |
217480 | 217480 | 2020-06-07 | Bedford | Pennsylvania | 42009 | 44 | 2 |
217481 | 217481 | 2020-06-07 | Berks | Pennsylvania | 42011 | 4201 | 333 |
217482 | 217482 | 2020-06-07 | Blair | Pennsylvania | 42013 | 53 | 1 |
217483 | 217483 | 2020-06-07 | Bradford | Pennsylvania | 42015 | 46 | 3 |
217484 | 217484 | 2020-06-07 | Bucks | Pennsylvania | 42017 | 5261 | 529 |
217485 | 217485 | 2020-06-07 | Butler | Pennsylvania | 42019 | 247 | 12 |
217486 | 217486 | 2020-06-07 | Cambria | Pennsylvania | 42021 | 59 | 2 |
217487 | 217487 | 2020-06-07 | Cameron | Pennsylvania | 42023 | 2 | 0 |
217488 | 217488 | 2020-06-07 | Carbon | Pennsylvania | 42025 | 249 | 24 |
217489 | 217489 | 2020-06-07 | Centre | Pennsylvania | 42027 | 156 | 7 |
217490 | 217490 | 2020-06-07 | Chester | Pennsylvania | 42029 | 3091 | 297 |
217491 | 217491 | 2020-06-07 | Clarion | Pennsylvania | 42031 | 27 | 2 |
217492 | 217492 | 2020-06-07 | Clearfield | Pennsylvania | 42033 | 44 | 0 |
217493 | 217493 | 2020-06-07 | Clinton | Pennsylvania | 42035 | 60 | 3 |
217494 | 217494 | 2020-06-07 | Columbia | Pennsylvania | 42037 | 364 | 31 |
217495 | 217495 | 2020-06-07 | Crawford | Pennsylvania | 42039 | 30 | 0 |
217496 | 217496 | 2020-06-07 | Cumberland | Pennsylvania | 42041 | 669 | 57 |
217497 | 217497 | 2020-06-07 | Dauphin | Pennsylvania | 42043 | 1481 | 91 |
217498 | 217498 | 2020-06-07 | Delaware | Pennsylvania | 42045 | 6743 | 651 |
217499 | 217499 | 2020-06-07 | Elk | Pennsylvania | 42047 | 6 | 0 |
217500 | 217500 | 2020-06-07 | Erie | Pennsylvania | 42049 | 367 | 5 |
217501 | 217501 | 2020-06-07 | Fayette | Pennsylvania | 42051 | 95 | 4 |
217502 | 217502 | 2020-06-07 | Forest | Pennsylvania | 42053 | 7 | 0 |
217503 | 217503 | 2020-06-07 | Franklin | Pennsylvania | 42055 | 795 | 39 |
217504 | 217504 | 2020-06-07 | Fulton | Pennsylvania | 42057 | 16 | 1 |
217505 | 217505 | 2020-06-07 | Greene | Pennsylvania | 42059 | 27 | 0 |
217506 | 217506 | 2020-06-07 | Huntingdon | Pennsylvania | 42061 | 236 | 4 |
217507 | 217507 | 2020-06-07 | Indiana | Pennsylvania | 42063 | 92 | 5 |
217508 | 217508 | 2020-06-07 | Jefferson | Pennsylvania | 42065 | 16 | 0 |
217509 | 217509 | 2020-06-07 | Juniata | Pennsylvania | 42067 | 97 | 4 |
217510 | 217510 | 2020-06-07 | Lackawanna | Pennsylvania | 42069 | 1583 | 187 |
217511 | 217511 | 2020-06-07 | Lancaster | Pennsylvania | 42071 | 3461 | 318 |
217512 | 217512 | 2020-06-07 | Lawrence | Pennsylvania | 42073 | 85 | 8 |
217513 | 217513 | 2020-06-07 | Lebanon | Pennsylvania | 42075 | 1062 | 37 |
217514 | 217514 | 2020-06-07 | Lehigh | Pennsylvania | 42077 | 3858 | 248 |
217515 | 217515 | 2020-06-07 | Luzerne | Pennsylvania | 42079 | 2793 | 157 |
217516 | 217516 | 2020-06-07 | Lycoming | Pennsylvania | 42081 | 167 | 17 |
217517 | 217517 | 2020-06-07 | McKean | Pennsylvania | 42083 | 13 | 1 |
217518 | 217518 | 2020-06-07 | Mercer | Pennsylvania | 42085 | 111 | 6 |
217519 | 217519 | 2020-06-07 | Mifflin | Pennsylvania | 42087 | 59 | 1 |
217520 | 217520 | 2020-06-07 | Monroe | Pennsylvania | 42089 | 1338 | 102 |
217521 | 217521 | 2020-06-07 | Montgomery | Pennsylvania | 42091 | 7582 | 725 |
217522 | 217522 | 2020-06-07 | Montour | Pennsylvania | 42093 | 53 | 0 |
217523 | 217523 | 2020-06-07 | Northampton | Pennsylvania | 42095 | 3151 | 232 |
217524 | 217524 | 2020-06-07 | Northumberland | Pennsylvania | 42097 | 209 | 3 |
217525 | 217525 | 2020-06-07 | Perry | Pennsylvania | 42099 | 68 | 3 |
217526 | 217526 | 2020-06-07 | Philadelphia | Pennsylvania | 42101 | 23529 | 1420 |
217527 | 217527 | 2020-06-07 | Pike | Pennsylvania | 42103 | 482 | 20 |
217528 | 217528 | 2020-06-07 | Potter | Pennsylvania | 42105 | 11 | 0 |
217529 | 217529 | 2020-06-07 | Schuylkill | Pennsylvania | 42107 | 656 | 39 |
217530 | 217530 | 2020-06-07 | Snyder | Pennsylvania | 42109 | 55 | 1 |
217531 | 217531 | 2020-06-07 | Somerset | Pennsylvania | 42111 | 39 | 1 |
217532 | 217532 | 2020-06-07 | Sullivan | Pennsylvania | 42113 | 3 | 0 |
217533 | 217533 | 2020-06-07 | Susquehanna | Pennsylvania | 42115 | 148 | 16 |
217534 | 217534 | 2020-06-07 | Tioga | Pennsylvania | 42117 | 19 | 2 |
217535 | 217535 | 2020-06-07 | Union | Pennsylvania | 42119 | 73 | 2 |
217536 | 217536 | 2020-06-07 | Venango | Pennsylvania | 42121 | 15 | 0 |
217537 | 217537 | 2020-06-07 | Warren | Pennsylvania | 42123 | 5 | 0 |
217538 | 217538 | 2020-06-07 | Washington | Pennsylvania | 42125 | 147 | 6 |
217539 | 217539 | 2020-06-07 | Wayne | Pennsylvania | 42127 | 126 | 9 |
217540 | 217540 | 2020-06-07 | Westmoreland | Pennsylvania | 42129 | 459 | 38 |
217541 | 217541 | 2020-06-07 | Wyoming | Pennsylvania | 42131 | 34 | 7 |
217542 | 217542 | 2020-06-07 | York | Pennsylvania | 42133 | 1082 | 29 |
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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);