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 2020-10-08 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
611200 | 611200 | 2020-10-08 | Adams | Pennsylvania | 42001 | 910 | 26 |
611201 | 611201 | 2020-10-08 | Allegheny | Pennsylvania | 42003 | 13024 | 393 |
611202 | 611202 | 2020-10-08 | Armstrong | Pennsylvania | 42005 | 484 | 18 |
611203 | 611203 | 2020-10-08 | Beaver | Pennsylvania | 42007 | 2007 | 132 |
611204 | 611204 | 2020-10-08 | Bedford | Pennsylvania | 42009 | 273 | 6 |
611205 | 611205 | 2020-10-08 | Berks | Pennsylvania | 42011 | 7564 | 404 |
611206 | 611206 | 2020-10-08 | Blair | Pennsylvania | 42013 | 837 | 19 |
611207 | 611207 | 2020-10-08 | Bradford | Pennsylvania | 42015 | 279 | 6 |
611208 | 611208 | 2020-10-08 | Bucks | Pennsylvania | 42017 | 9172 | 621 |
611209 | 611209 | 2020-10-08 | Butler | Pennsylvania | 42019 | 1199 | 25 |
611210 | 611210 | 2020-10-08 | Cambria | Pennsylvania | 42021 | 705 | 7 |
611211 | 611211 | 2020-10-08 | Cameron | Pennsylvania | 42023 | 8 | 0 |
611212 | 611212 | 2020-10-08 | Carbon | Pennsylvania | 42025 | 492 | 29 |
611213 | 611213 | 2020-10-08 | Centre | Pennsylvania | 42027 | 3291 | 12 |
611214 | 611214 | 2020-10-08 | Chester | Pennsylvania | 42029 | 7243 | 371 |
611215 | 611215 | 2020-10-08 | Clarion | Pennsylvania | 42031 | 150 | 3 |
611216 | 611216 | 2020-10-08 | Clearfield | Pennsylvania | 42033 | 350 | 7 |
611217 | 611217 | 2020-10-08 | Clinton | Pennsylvania | 42035 | 219 | 6 |
611218 | 611218 | 2020-10-08 | Columbia | Pennsylvania | 42037 | 976 | 36 |
611219 | 611219 | 2020-10-08 | Crawford | Pennsylvania | 42039 | 334 | 3 |
611220 | 611220 | 2020-10-08 | Cumberland | Pennsylvania | 42041 | 2021 | 77 |
611221 | 611221 | 2020-10-08 | Dauphin | Pennsylvania | 42043 | 4048 | 183 |
611222 | 611222 | 2020-10-08 | Delaware | Pennsylvania | 42045 | 11935 | 799 |
611223 | 611223 | 2020-10-08 | Elk | Pennsylvania | 42047 | 81 | 2 |
611224 | 611224 | 2020-10-08 | Erie | Pennsylvania | 42049 | 1707 | 48 |
611225 | 611225 | 2020-10-08 | Fayette | Pennsylvania | 42051 | 850 | 8 |
611226 | 611226 | 2020-10-08 | Forest | Pennsylvania | 42053 | 15 | 1 |
611227 | 611227 | 2020-10-08 | Franklin | Pennsylvania | 42055 | 1869 | 52 |
611228 | 611228 | 2020-10-08 | Fulton | Pennsylvania | 42057 | 57 | 2 |
611229 | 611229 | 2020-10-08 | Greene | Pennsylvania | 42059 | 198 | 1 |
611230 | 611230 | 2020-10-08 | Huntingdon | Pennsylvania | 42061 | 500 | 6 |
611231 | 611231 | 2020-10-08 | Indiana | Pennsylvania | 42063 | 819 | 13 |
611232 | 611232 | 2020-10-08 | Jefferson | Pennsylvania | 42065 | 126 | 3 |
611233 | 611233 | 2020-10-08 | Juniata | Pennsylvania | 42067 | 199 | 8 |
611234 | 611234 | 2020-10-08 | Lackawanna | Pennsylvania | 42069 | 2799 | 216 |
611235 | 611235 | 2020-10-08 | Lancaster | Pennsylvania | 42071 | 8368 | 462 |
611236 | 611236 | 2020-10-08 | Lawrence | Pennsylvania | 42073 | 593 | 23 |
611237 | 611237 | 2020-10-08 | Lebanon | Pennsylvania | 42075 | 2245 | 62 |
611238 | 611238 | 2020-10-08 | Lehigh | Pennsylvania | 42077 | 5875 | 357 |
611239 | 611239 | 2020-10-08 | Luzerne | Pennsylvania | 42079 | 4277 | 190 |
611240 | 611240 | 2020-10-08 | Lycoming | Pennsylvania | 42081 | 795 | 26 |
611241 | 611241 | 2020-10-08 | McKean | Pennsylvania | 42083 | 66 | 2 |
611242 | 611242 | 2020-10-08 | Mercer | Pennsylvania | 42085 | 797 | 24 |
611243 | 611243 | 2020-10-08 | Mifflin | Pennsylvania | 42087 | 257 | 2 |
611244 | 611244 | 2020-10-08 | Monroe | Pennsylvania | 42089 | 1848 | 134 |
611245 | 611245 | 2020-10-08 | Montgomery | Pennsylvania | 42091 | 12645 | 886 |
611246 | 611246 | 2020-10-08 | Montour | Pennsylvania | 42093 | 226 | 5 |
611247 | 611247 | 2020-10-08 | Northampton | Pennsylvania | 42095 | 4714 | 307 |
611248 | 611248 | 2020-10-08 | Northumberland | Pennsylvania | 42097 | 1227 | 73 |
611249 | 611249 | 2020-10-08 | Perry | Pennsylvania | 42099 | 257 | 6 |
611250 | 611250 | 2020-10-08 | Philadelphia | Pennsylvania | 42101 | 38515 | 1849 |
611251 | 611251 | 2020-10-08 | Pike | Pennsylvania | 42103 | 600 | 22 |
611252 | 611252 | 2020-10-08 | Potter | Pennsylvania | 42105 | 34 | 0 |
611253 | 611253 | 2020-10-08 | Schuylkill | Pennsylvania | 42107 | 1320 | 61 |
611254 | 611254 | 2020-10-08 | Snyder | Pennsylvania | 42109 | 408 | 10 |
611255 | 611255 | 2020-10-08 | Somerset | Pennsylvania | 42111 | 259 | 3 |
611256 | 611256 | 2020-10-08 | Sullivan | Pennsylvania | 42113 | 15 | 0 |
611257 | 611257 | 2020-10-08 | Susquehanna | Pennsylvania | 42115 | 320 | 28 |
611258 | 611258 | 2020-10-08 | Tioga | Pennsylvania | 42117 | 103 | 3 |
611259 | 611259 | 2020-10-08 | Union | Pennsylvania | 42119 | 577 | 7 |
611260 | 611260 | 2020-10-08 | Venango | Pennsylvania | 42121 | 110 | 1 |
611261 | 611261 | 2020-10-08 | Warren | Pennsylvania | 42123 | 46 | 1 |
611262 | 611262 | 2020-10-08 | Washington | Pennsylvania | 42125 | 1484 | 30 |
611263 | 611263 | 2020-10-08 | Wayne | Pennsylvania | 42127 | 260 | 12 |
611264 | 611264 | 2020-10-08 | Westmoreland | Pennsylvania | 42129 | 2608 | 59 |
611265 | 611265 | 2020-10-08 | Wyoming | Pennsylvania | 42131 | 81 | 8 |
611266 | 611266 | 2020-10-08 | York | Pennsylvania | 42133 | 5300 | 176 |
Advanced export
JSON shape: default, array, newline-delimited
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);