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 2020-12-29 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
877264 | 877264 | 2020-12-29 | Adams | Pennsylvania | 42001 | 4325 | 77 |
877265 | 877265 | 2020-12-29 | Allegheny | Pennsylvania | 42003 | 52473 | 952 |
877266 | 877266 | 2020-12-29 | Armstrong | Pennsylvania | 42005 | 3283 | 67 |
877267 | 877267 | 2020-12-29 | Beaver | Pennsylvania | 42007 | 8159 | 242 |
877268 | 877268 | 2020-12-29 | Bedford | Pennsylvania | 42009 | 2904 | 91 |
877269 | 877269 | 2020-12-29 | Berks | Pennsylvania | 42011 | 22758 | 546 |
877270 | 877270 | 2020-12-29 | Blair | Pennsylvania | 42013 | 7766 | 173 |
877271 | 877271 | 2020-12-29 | Bradford | Pennsylvania | 42015 | 2972 | 53 |
877272 | 877272 | 2020-12-29 | Bucks | Pennsylvania | 42017 | 29692 | 889 |
877273 | 877273 | 2020-12-29 | Butler | Pennsylvania | 42019 | 9003 | 179 |
877274 | 877274 | 2020-12-29 | Cambria | Pennsylvania | 42021 | 8627 | 231 |
877275 | 877275 | 2020-12-29 | Cameron | Pennsylvania | 42023 | 139 | 1 |
877276 | 877276 | 2020-12-29 | Carbon | Pennsylvania | 42025 | 2652 | 90 |
877277 | 877277 | 2020-12-29 | Centre | Pennsylvania | 42027 | 8834 | 135 |
877278 | 877278 | 2020-12-29 | Chester | Pennsylvania | 42029 | 19845 | 499 |
877279 | 877279 | 2020-12-29 | Clarion | Pennsylvania | 42031 | 1973 | 40 |
877280 | 877280 | 2020-12-29 | Clearfield | Pennsylvania | 42033 | 3874 | 44 |
877281 | 877281 | 2020-12-29 | Clinton | Pennsylvania | 42035 | 1878 | 22 |
877282 | 877282 | 2020-12-29 | Columbia | Pennsylvania | 42037 | 2626 | 68 |
877283 | 877283 | 2020-12-29 | Crawford | Pennsylvania | 42039 | 4760 | 74 |
877284 | 877284 | 2020-12-29 | Cumberland | Pennsylvania | 42041 | 10115 | 285 |
877285 | 877285 | 2020-12-29 | Dauphin | Pennsylvania | 42043 | 13569 | 308 |
877286 | 877286 | 2020-12-29 | Delaware | Pennsylvania | 42045 | 28738 | 973 |
877287 | 877287 | 2020-12-29 | Elk | Pennsylvania | 42047 | 1353 | 15 |
877288 | 877288 | 2020-12-29 | Erie | Pennsylvania | 42049 | 11398 | 199 |
877289 | 877289 | 2020-12-29 | Fayette | Pennsylvania | 42051 | 7000 | 97 |
877290 | 877290 | 2020-12-29 | Forest | Pennsylvania | 42053 | 295 | 3 |
877291 | 877291 | 2020-12-29 | Franklin | Pennsylvania | 42055 | 8391 | 215 |
877292 | 877292 | 2020-12-29 | Fulton | Pennsylvania | 42057 | 672 | 9 |
877293 | 877293 | 2020-12-29 | Greene | Pennsylvania | 42059 | 1622 | 13 |
877294 | 877294 | 2020-12-29 | Huntingdon | Pennsylvania | 42061 | 2994 | 83 |
877295 | 877295 | 2020-12-29 | Indiana | Pennsylvania | 42063 | 3876 | 111 |
877296 | 877296 | 2020-12-29 | Jefferson | Pennsylvania | 42065 | 1832 | 40 |
877297 | 877297 | 2020-12-29 | Juniata | Pennsylvania | 42067 | 1323 | 44 |
877298 | 877298 | 2020-12-29 | Lackawanna | Pennsylvania | 42069 | 8499 | 264 |
877299 | 877299 | 2020-12-29 | Lancaster | Pennsylvania | 42071 | 27272 | 712 |
877300 | 877300 | 2020-12-29 | Lawrence | Pennsylvania | 42073 | 4162 | 121 |
877301 | 877301 | 2020-12-29 | Lebanon | Pennsylvania | 42075 | 8569 | 148 |
877302 | 877302 | 2020-12-29 | Lehigh | Pennsylvania | 42077 | 19701 | 489 |
877303 | 877303 | 2020-12-29 | Luzerne | Pennsylvania | 42079 | 16614 | 446 |
877304 | 877304 | 2020-12-29 | Lycoming | Pennsylvania | 42081 | 5797 | 116 |
877305 | 877305 | 2020-12-29 | McKean | Pennsylvania | 42083 | 1624 | 18 |
877306 | 877306 | 2020-12-29 | Mercer | Pennsylvania | 42085 | 5808 | 129 |
877307 | 877307 | 2020-12-29 | Mifflin | Pennsylvania | 42087 | 3339 | 111 |
877308 | 877308 | 2020-12-29 | Monroe | Pennsylvania | 42089 | 5900 | 195 |
877309 | 877309 | 2020-12-29 | Montgomery | Pennsylvania | 42091 | 35086 | 1124 |
877310 | 877310 | 2020-12-29 | Montour | Pennsylvania | 42093 | 1021 | 24 |
877311 | 877311 | 2020-12-29 | Northampton | Pennsylvania | 42095 | 16084 | 416 |
877312 | 877312 | 2020-12-29 | Northumberland | Pennsylvania | 42097 | 4685 | 210 |
877313 | 877313 | 2020-12-29 | Perry | Pennsylvania | 42099 | 1653 | 31 |
877314 | 877314 | 2020-12-29 | Philadelphia | Pennsylvania | 42101 | 92354 | 2409 |
877315 | 877315 | 2020-12-29 | Pike | Pennsylvania | 42103 | 1375 | 33 |
877316 | 877316 | 2020-12-29 | Potter | Pennsylvania | 42105 | 565 | 13 |
877317 | 877317 | 2020-12-29 | Schuylkill | Pennsylvania | 42107 | 7572 | 240 |
877318 | 877318 | 2020-12-29 | Snyder | Pennsylvania | 42109 | 1829 | 42 |
877319 | 877319 | 2020-12-29 | Somerset | Pennsylvania | 42111 | 4697 | 73 |
877320 | 877320 | 2020-12-29 | Sullivan | Pennsylvania | 42113 | 139 | 2 |
877321 | 877321 | 2020-12-29 | Susquehanna | Pennsylvania | 42115 | 981 | 37 |
877322 | 877322 | 2020-12-29 | Tioga | Pennsylvania | 42117 | 1886 | 54 |
877323 | 877323 | 2020-12-29 | Union | Pennsylvania | 42119 | 2816 | 39 |
877324 | 877324 | 2020-12-29 | Venango | Pennsylvania | 42121 | 2311 | 43 |
877325 | 877325 | 2020-12-29 | Warren | Pennsylvania | 42123 | 1425 | 25 |
877326 | 877326 | 2020-12-29 | Washington | Pennsylvania | 42125 | 8727 | 122 |
877327 | 877327 | 2020-12-29 | Wayne | Pennsylvania | 42127 | 1720 | 18 |
877328 | 877328 | 2020-12-29 | Westmoreland | Pennsylvania | 42129 | 18855 | 394 |
877329 | 877329 | 2020-12-29 | Wyoming | Pennsylvania | 42131 | 759 | 29 |
877330 | 877330 | 2020-12-29 | York | Pennsylvania | 42133 | 22537 | 394 |
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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);