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 2020-09-09 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 |
---|---|---|---|---|---|---|---|
517261 | 517261 | 2020-09-09 | Adams | Pennsylvania | 42001 | 717 | 24 |
517262 | 517262 | 2020-09-09 | Allegheny | Pennsylvania | 42003 | 10915 | 358 |
517263 | 517263 | 2020-09-09 | Armstrong | Pennsylvania | 42005 | 366 | 12 |
517264 | 517264 | 2020-09-09 | Beaver | Pennsylvania | 42007 | 1722 | 105 |
517265 | 517265 | 2020-09-09 | Bedford | Pennsylvania | 42009 | 187 | 6 |
517266 | 517266 | 2020-09-09 | Berks | Pennsylvania | 42011 | 6394 | 385 |
517267 | 517267 | 2020-09-09 | Blair | Pennsylvania | 42013 | 504 | 13 |
517268 | 517268 | 2020-09-09 | Bradford | Pennsylvania | 42015 | 103 | 3 |
517269 | 517269 | 2020-09-09 | Bucks | Pennsylvania | 42017 | 8128 | 591 |
517270 | 517270 | 2020-09-09 | Butler | Pennsylvania | 42019 | 904 | 21 |
517271 | 517271 | 2020-09-09 | Cambria | Pennsylvania | 42021 | 509 | 6 |
517272 | 517272 | 2020-09-09 | Cameron | Pennsylvania | 42023 | 8 | 0 |
517273 | 517273 | 2020-09-09 | Carbon | Pennsylvania | 42025 | 432 | 28 |
517274 | 517274 | 2020-09-09 | Centre | Pennsylvania | 42027 | 870 | 11 |
517275 | 517275 | 2020-09-09 | Chester | Pennsylvania | 42029 | 6089 | 361 |
517276 | 517276 | 2020-09-09 | Clarion | Pennsylvania | 42031 | 107 | 3 |
517277 | 517277 | 2020-09-09 | Clearfield | Pennsylvania | 42033 | 265 | 1 |
517278 | 517278 | 2020-09-09 | Clinton | Pennsylvania | 42035 | 162 | 5 |
517279 | 517279 | 2020-09-09 | Columbia | Pennsylvania | 42037 | 813 | 35 |
517280 | 517280 | 2020-09-09 | Crawford | Pennsylvania | 42039 | 237 | 2 |
517281 | 517281 | 2020-09-09 | Cumberland | Pennsylvania | 42041 | 1634 | 73 |
517282 | 517282 | 2020-09-09 | Dauphin | Pennsylvania | 42043 | 3498 | 166 |
517283 | 517283 | 2020-09-09 | Delaware | Pennsylvania | 42045 | 10762 | 778 |
517284 | 517284 | 2020-09-09 | Elk | Pennsylvania | 42047 | 65 | 2 |
517285 | 517285 | 2020-09-09 | Erie | Pennsylvania | 42049 | 1408 | 36 |
517286 | 517286 | 2020-09-09 | Fayette | Pennsylvania | 42051 | 722 | 7 |
517287 | 517287 | 2020-09-09 | Forest | Pennsylvania | 42053 | 14 | 0 |
517288 | 517288 | 2020-09-09 | Franklin | Pennsylvania | 42055 | 1616 | 48 |
517289 | 517289 | 2020-09-09 | Fulton | Pennsylvania | 42057 | 38 | 2 |
517290 | 517290 | 2020-09-09 | Greene | Pennsylvania | 42059 | 152 | 1 |
517291 | 517291 | 2020-09-09 | Huntingdon | Pennsylvania | 42061 | 387 | 5 |
517292 | 517292 | 2020-09-09 | Indiana | Pennsylvania | 42063 | 479 | 11 |
517293 | 517293 | 2020-09-09 | Jefferson | Pennsylvania | 42065 | 100 | 2 |
517294 | 517294 | 2020-09-09 | Juniata | Pennsylvania | 42067 | 159 | 6 |
517295 | 517295 | 2020-09-09 | Lackawanna | Pennsylvania | 42069 | 2218 | 214 |
517296 | 517296 | 2020-09-09 | Lancaster | Pennsylvania | 42071 | 7140 | 442 |
517297 | 517297 | 2020-09-09 | Lawrence | Pennsylvania | 42073 | 479 | 21 |
517298 | 517298 | 2020-09-09 | Lebanon | Pennsylvania | 42075 | 1788 | 57 |
517299 | 517299 | 2020-09-09 | Lehigh | Pennsylvania | 42077 | 5329 | 345 |
517300 | 517300 | 2020-09-09 | Luzerne | Pennsylvania | 42079 | 3910 | 189 |
517301 | 517301 | 2020-09-09 | Lycoming | Pennsylvania | 42081 | 568 | 23 |
517302 | 517302 | 2020-09-09 | McKean | Pennsylvania | 42083 | 44 | 2 |
517303 | 517303 | 2020-09-09 | Mercer | Pennsylvania | 42085 | 612 | 13 |
517304 | 517304 | 2020-09-09 | Mifflin | Pennsylvania | 42087 | 176 | 1 |
517305 | 517305 | 2020-09-09 | Monroe | Pennsylvania | 42089 | 1747 | 129 |
517306 | 517306 | 2020-09-09 | Montgomery | Pennsylvania | 42091 | 11475 | 864 |
517307 | 517307 | 2020-09-09 | Montour | Pennsylvania | 42093 | 154 | 5 |
517308 | 517308 | 2020-09-09 | Northampton | Pennsylvania | 42095 | 4186 | 302 |
517309 | 517309 | 2020-09-09 | Northumberland | Pennsylvania | 42097 | 773 | 40 |
517310 | 517310 | 2020-09-09 | Perry | Pennsylvania | 42099 | 184 | 6 |
517311 | 517311 | 2020-09-09 | Philadelphia | Pennsylvania | 42101 | 34742 | 1779 |
517312 | 517312 | 2020-09-09 | Pike | Pennsylvania | 42103 | 548 | 21 |
517313 | 517313 | 2020-09-09 | Potter | Pennsylvania | 42105 | 25 | 0 |
517314 | 517314 | 2020-09-09 | Schuylkill | Pennsylvania | 42107 | 1023 | 51 |
517315 | 517315 | 2020-09-09 | Snyder | Pennsylvania | 42109 | 191 | 3 |
517316 | 517316 | 2020-09-09 | Somerset | Pennsylvania | 42111 | 186 | 3 |
517317 | 517317 | 2020-09-09 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
517318 | 517318 | 2020-09-09 | Susquehanna | Pennsylvania | 42115 | 284 | 28 |
517319 | 517319 | 2020-09-09 | Tioga | Pennsylvania | 42117 | 50 | 3 |
517320 | 517320 | 2020-09-09 | Union | Pennsylvania | 42119 | 411 | 6 |
517321 | 517321 | 2020-09-09 | Venango | Pennsylvania | 42121 | 74 | 1 |
517322 | 517322 | 2020-09-09 | Warren | Pennsylvania | 42123 | 40 | 1 |
517323 | 517323 | 2020-09-09 | Washington | Pennsylvania | 42125 | 1156 | 28 |
517324 | 517324 | 2020-09-09 | Wayne | Pennsylvania | 42127 | 196 | 10 |
517325 | 517325 | 2020-09-09 | Westmoreland | Pennsylvania | 42129 | 1914 | 49 |
517326 | 517326 | 2020-09-09 | Wyoming | Pennsylvania | 42131 | 70 | 8 |
517327 | 517327 | 2020-09-09 | York | Pennsylvania | 42133 | 3889 | 131 |
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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);