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 2020-11-14 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 |
---|---|---|---|---|---|---|---|
731220 | 731220 | 2020-11-14 | Adams | Pennsylvania | 42001 | 1481 | 39 |
731221 | 731221 | 2020-11-14 | Allegheny | Pennsylvania | 42003 | 19499 | 458 |
731222 | 731222 | 2020-11-14 | Armstrong | Pennsylvania | 42005 | 1185 | 31 |
731223 | 731223 | 2020-11-14 | Beaver | Pennsylvania | 42007 | 2782 | 144 |
731224 | 731224 | 2020-11-14 | Bedford | Pennsylvania | 42009 | 898 | 11 |
731225 | 731225 | 2020-11-14 | Berks | Pennsylvania | 42011 | 11191 | 441 |
731226 | 731226 | 2020-11-14 | Blair | Pennsylvania | 42013 | 2424 | 41 |
731227 | 731227 | 2020-11-14 | Bradford | Pennsylvania | 42015 | 1314 | 25 |
731228 | 731228 | 2020-11-14 | Bucks | Pennsylvania | 42017 | 12748 | 636 |
731229 | 731229 | 2020-11-14 | Butler | Pennsylvania | 42019 | 2829 | 43 |
731230 | 731230 | 2020-11-14 | Cambria | Pennsylvania | 42021 | 2057 | 21 |
731231 | 731231 | 2020-11-14 | Cameron | Pennsylvania | 42023 | 16 | 0 |
731232 | 731232 | 2020-11-14 | Carbon | Pennsylvania | 42025 | 862 | 36 |
731233 | 731233 | 2020-11-14 | Centre | Pennsylvania | 42027 | 5044 | 23 |
731234 | 731234 | 2020-11-14 | Chester | Pennsylvania | 42029 | 9601 | 384 |
731235 | 731235 | 2020-11-14 | Clarion | Pennsylvania | 42031 | 454 | 4 |
731236 | 731236 | 2020-11-14 | Clearfield | Pennsylvania | 42033 | 811 | 8 |
731237 | 731237 | 2020-11-14 | Clinton | Pennsylvania | 42035 | 391 | 9 |
731238 | 731238 | 2020-11-14 | Columbia | Pennsylvania | 42037 | 1214 | 45 |
731239 | 731239 | 2020-11-14 | Crawford | Pennsylvania | 42039 | 998 | 5 |
731240 | 731240 | 2020-11-14 | Cumberland | Pennsylvania | 42041 | 3384 | 87 |
731241 | 731241 | 2020-11-14 | Dauphin | Pennsylvania | 42043 | 6000 | 200 |
731242 | 731242 | 2020-11-14 | Delaware | Pennsylvania | 42045 | 16340 | 831 |
731243 | 731243 | 2020-11-14 | Elk | Pennsylvania | 42047 | 335 | 3 |
731244 | 731244 | 2020-11-14 | Erie | Pennsylvania | 42049 | 3227 | 48 |
731245 | 731245 | 2020-11-14 | Fayette | Pennsylvania | 42051 | 1321 | 15 |
731246 | 731246 | 2020-11-14 | Forest | Pennsylvania | 42053 | 26 | 1 |
731247 | 731247 | 2020-11-14 | Franklin | Pennsylvania | 42055 | 3060 | 72 |
731248 | 731248 | 2020-11-14 | Fulton | Pennsylvania | 42057 | 151 | 4 |
731249 | 731249 | 2020-11-14 | Greene | Pennsylvania | 42059 | 421 | 1 |
731250 | 731250 | 2020-11-14 | Huntingdon | Pennsylvania | 42061 | 1352 | 37 |
731251 | 731251 | 2020-11-14 | Indiana | Pennsylvania | 42063 | 1727 | 24 |
731252 | 731252 | 2020-11-14 | Jefferson | Pennsylvania | 42065 | 379 | 4 |
731253 | 731253 | 2020-11-14 | Juniata | Pennsylvania | 42067 | 404 | 9 |
731254 | 731254 | 2020-11-14 | Lackawanna | Pennsylvania | 42069 | 4321 | 225 |
731255 | 731255 | 2020-11-14 | Lancaster | Pennsylvania | 42071 | 11988 | 496 |
731256 | 731256 | 2020-11-14 | Lawrence | Pennsylvania | 42073 | 1525 | 48 |
731257 | 731257 | 2020-11-14 | Lebanon | Pennsylvania | 42075 | 3999 | 83 |
731258 | 731258 | 2020-11-14 | Lehigh | Pennsylvania | 42077 | 8466 | 374 |
731259 | 731259 | 2020-11-14 | Luzerne | Pennsylvania | 42079 | 6933 | 225 |
731260 | 731260 | 2020-11-14 | Lycoming | Pennsylvania | 42081 | 1300 | 32 |
731261 | 731261 | 2020-11-14 | McKean | Pennsylvania | 42083 | 261 | 2 |
731262 | 731262 | 2020-11-14 | Mercer | Pennsylvania | 42085 | 1788 | 30 |
731263 | 731263 | 2020-11-14 | Mifflin | Pennsylvania | 42087 | 884 | 6 |
731264 | 731264 | 2020-11-14 | Monroe | Pennsylvania | 42089 | 2525 | 135 |
731265 | 731265 | 2020-11-14 | Montgomery | Pennsylvania | 42091 | 17051 | 904 |
731266 | 731266 | 2020-11-14 | Montour | Pennsylvania | 42093 | 366 | 13 |
731267 | 731267 | 2020-11-14 | Northampton | Pennsylvania | 42095 | 6700 | 322 |
731268 | 731268 | 2020-11-14 | Northumberland | Pennsylvania | 42097 | 1925 | 117 |
731269 | 731269 | 2020-11-14 | Perry | Pennsylvania | 42099 | 477 | 8 |
731270 | 731270 | 2020-11-14 | Philadelphia | Pennsylvania | 42101 | 52723 | 1934 |
731271 | 731271 | 2020-11-14 | Pike | Pennsylvania | 42103 | 719 | 23 |
731272 | 731272 | 2020-11-14 | Potter | Pennsylvania | 42105 | 97 | 1 |
731273 | 731273 | 2020-11-14 | Schuylkill | Pennsylvania | 42107 | 2827 | 132 |
731274 | 731274 | 2020-11-14 | Snyder | Pennsylvania | 42109 | 678 | 18 |
731275 | 731275 | 2020-11-14 | Somerset | Pennsylvania | 42111 | 855 | 5 |
731276 | 731276 | 2020-11-14 | Sullivan | Pennsylvania | 42113 | 32 | 1 |
731277 | 731277 | 2020-11-14 | Susquehanna | Pennsylvania | 42115 | 487 | 30 |
731278 | 731278 | 2020-11-14 | Tioga | Pennsylvania | 42117 | 485 | 5 |
731279 | 731279 | 2020-11-14 | Union | Pennsylvania | 42119 | 966 | 12 |
731280 | 731280 | 2020-11-14 | Venango | Pennsylvania | 42121 | 535 | 1 |
731281 | 731281 | 2020-11-14 | Warren | Pennsylvania | 42123 | 108 | 1 |
731282 | 731282 | 2020-11-14 | Washington | Pennsylvania | 42125 | 2928 | 49 |
731283 | 731283 | 2020-11-14 | Wayne | Pennsylvania | 42127 | 340 | 12 |
731284 | 731284 | 2020-11-14 | Westmoreland | Pennsylvania | 42129 | 5912 | 133 |
731285 | 731285 | 2020-11-14 | Wyoming | Pennsylvania | 42131 | 303 | 13 |
731286 | 731286 | 2020-11-14 | York | Pennsylvania | 42133 | 7966 | 223 |
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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);