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 2022-04-09 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 |
---|---|---|---|---|---|---|---|
2391131 | 2391131 | 2022-04-09 | Adams | Pennsylvania | 42001 | 24757 | 360 |
2391132 | 2391132 | 2022-04-09 | Allegheny | Pennsylvania | 42003 | 263899 | 3294 |
2391133 | 2391133 | 2022-04-09 | Armstrong | Pennsylvania | 42005 | 15253 | 341 |
2391134 | 2391134 | 2022-04-09 | Beaver | Pennsylvania | 42007 | 40137 | 737 |
2391135 | 2391135 | 2022-04-09 | Bedford | Pennsylvania | 42009 | 10969 | 275 |
2391136 | 2391136 | 2022-04-09 | Berks | Pennsylvania | 42011 | 102278 | 1591 |
2391137 | 2391137 | 2022-04-09 | Blair | Pennsylvania | 42013 | 29654 | 610 |
2391138 | 2391138 | 2022-04-09 | Bradford | Pennsylvania | 42015 | 15187 | 200 |
2391139 | 2391139 | 2022-04-09 | Bucks | Pennsylvania | 42017 | 123270 | 1882 |
2391140 | 2391140 | 2022-04-09 | Butler | Pennsylvania | 42019 | 44443 | 730 |
2391141 | 2391141 | 2022-04-09 | Cambria | Pennsylvania | 42021 | 34567 | 723 |
2391142 | 2391142 | 2022-04-09 | Cameron | Pennsylvania | 42023 | 814 | 20 |
2391143 | 2391143 | 2022-04-09 | Carbon | Pennsylvania | 42025 | 15889 | 291 |
2391144 | 2391144 | 2022-04-09 | Centre | Pennsylvania | 42027 | 35194 | 347 |
2391145 | 2391145 | 2022-04-09 | Chester | Pennsylvania | 42029 | 91895 | 1143 |
2391146 | 2391146 | 2022-04-09 | Clarion | Pennsylvania | 42031 | 8229 | 203 |
2391147 | 2391147 | 2022-04-09 | Clearfield | Pennsylvania | 42033 | 19275 | 344 |
2391148 | 2391148 | 2022-04-09 | Clinton | Pennsylvania | 42035 | 9034 | 124 |
2391149 | 2391149 | 2022-04-09 | Columbia | Pennsylvania | 42037 | 15064 | 243 |
2391150 | 2391150 | 2022-04-09 | Crawford | Pennsylvania | 42039 | 19765 | 315 |
2391151 | 2391151 | 2022-04-09 | Cumberland | Pennsylvania | 42041 | 50929 | 890 |
2391152 | 2391152 | 2022-04-09 | Dauphin | Pennsylvania | 42043 | 59062 | 960 |
2391153 | 2391153 | 2022-04-09 | Delaware | Pennsylvania | 42045 | 110096 | 1864 |
2391154 | 2391154 | 2022-04-09 | Elk | Pennsylvania | 42047 | 7131 | 100 |
2391155 | 2391155 | 2022-04-09 | Erie | Pennsylvania | 42049 | 57108 | 754 |
2391156 | 2391156 | 2022-04-09 | Fayette | Pennsylvania | 42051 | 31027 | 667 |
2391157 | 2391157 | 2022-04-09 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2391158 | 2391158 | 2022-04-09 | Franklin | Pennsylvania | 42055 | 40315 | 692 |
2391159 | 2391159 | 2022-04-09 | Fulton | Pennsylvania | 42057 | 4122 | 65 |
2391160 | 2391160 | 2022-04-09 | Greene | Pennsylvania | 42059 | 8456 | 104 |
2391161 | 2391161 | 2022-04-09 | Huntingdon | Pennsylvania | 42061 | 11504 | 244 |
2391162 | 2391162 | 2022-04-09 | Indiana | Pennsylvania | 42063 | 17405 | 354 |
2391163 | 2391163 | 2022-04-09 | Jefferson | Pennsylvania | 42065 | 9005 | 231 |
2391164 | 2391164 | 2022-04-09 | Juniata | Pennsylvania | 42067 | 4765 | 175 |
2391165 | 2391165 | 2022-04-09 | Lackawanna | Pennsylvania | 42069 | 43502 | 761 |
2391166 | 2391166 | 2022-04-09 | Lancaster | Pennsylvania | 42071 | 120966 | 1878 |
2391167 | 2391167 | 2022-04-09 | Lawrence | Pennsylvania | 42073 | 18941 | 412 |
2391168 | 2391168 | 2022-04-09 | Lebanon | Pennsylvania | 42075 | 36554 | 514 |
2391169 | 2391169 | 2022-04-09 | Lehigh | Pennsylvania | 42077 | 89492 | 1235 |
2391170 | 2391170 | 2022-04-09 | Luzerne | Pennsylvania | 42079 | 73486 | 1346 |
2391171 | 2391171 | 2022-04-09 | Lycoming | Pennsylvania | 42081 | 28418 | 514 |
2391172 | 2391172 | 2022-04-09 | McKean | Pennsylvania | 42083 | 8194 | 138 |
2391173 | 2391173 | 2022-04-09 | Mercer | Pennsylvania | 42085 | 23314 | 496 |
2391174 | 2391174 | 2022-04-09 | Mifflin | Pennsylvania | 42087 | 12273 | 276 |
2391175 | 2391175 | 2022-04-09 | Monroe | Pennsylvania | 42089 | 36994 | 518 |
2391176 | 2391176 | 2022-04-09 | Montgomery | Pennsylvania | 42091 | 152677 | 2308 |
2391177 | 2391177 | 2022-04-09 | Montour | Pennsylvania | 42093 | 4521 | 93 |
2391178 | 2391178 | 2022-04-09 | Northampton | Pennsylvania | 42095 | 79596 | 1086 |
2391179 | 2391179 | 2022-04-09 | Northumberland | Pennsylvania | 42097 | 22821 | 530 |
2391180 | 2391180 | 2022-04-09 | Perry | Pennsylvania | 42099 | 8827 | 184 |
2391181 | 2391181 | 2022-04-09 | Philadelphia | Pennsylvania | 42101 | 309301 | 5081 |
2391182 | 2391182 | 2022-04-09 | Pike | Pennsylvania | 42103 | 10194 | 95 |
2391183 | 2391183 | 2022-04-09 | Potter | Pennsylvania | 42105 | 3189 | 92 |
2391184 | 2391184 | 2022-04-09 | Schuylkill | Pennsylvania | 42107 | 34420 | 674 |
2391185 | 2391185 | 2022-04-09 | Snyder | Pennsylvania | 42109 | 8100 | 156 |
2391186 | 2391186 | 2022-04-09 | Somerset | Pennsylvania | 42111 | 18707 | 404 |
2391187 | 2391187 | 2022-04-09 | Sullivan | Pennsylvania | 42113 | 1050 | 36 |
2391188 | 2391188 | 2022-04-09 | Susquehanna | Pennsylvania | 42115 | 7827 | 108 |
2391189 | 2391189 | 2022-04-09 | Tioga | Pennsylvania | 42117 | 8019 | 192 |
2391190 | 2391190 | 2022-04-09 | Union | Pennsylvania | 42119 | 11683 | 153 |
2391191 | 2391191 | 2022-04-09 | Venango | Pennsylvania | 42121 | 11243 | 237 |
2391192 | 2391192 | 2022-04-09 | Warren | Pennsylvania | 42123 | 7335 | 210 |
2391193 | 2391193 | 2022-04-09 | Washington | Pennsylvania | 42125 | 50828 | 651 |
2391194 | 2391194 | 2022-04-09 | Wayne | Pennsylvania | 42127 | 10141 | 169 |
2391195 | 2391195 | 2022-04-09 | Westmoreland | Pennsylvania | 42129 | 79714 | 1367 |
2391196 | 2391196 | 2022-04-09 | Wyoming | Pennsylvania | 42131 | 5074 | 104 |
2391197 | 2391197 | 2022-04-09 | York | Pennsylvania | 42133 | 118605 | 1491 |
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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);