ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2020-10-29" and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
679325 | 679325 | 2020-10-29 | Adams | Pennsylvania | 42001 | 1144 | 28 |
679326 | 679326 | 2020-10-29 | Allegheny | Pennsylvania | 42003 | 15449 | 428 |
679327 | 679327 | 2020-10-29 | Armstrong | Pennsylvania | 42005 | 724 | 21 |
679328 | 679328 | 2020-10-29 | Beaver | Pennsylvania | 42007 | 2283 | 140 |
679329 | 679329 | 2020-10-29 | Bedford | Pennsylvania | 42009 | 404 | 7 |
679330 | 679330 | 2020-10-29 | Berks | Pennsylvania | 42011 | 9388 | 423 |
679331 | 679331 | 2020-10-29 | Blair | Pennsylvania | 42013 | 1268 | 31 |
679332 | 679332 | 2020-10-29 | Bradford | Pennsylvania | 42015 | 775 | 15 |
679333 | 679333 | 2020-10-29 | Bucks | Pennsylvania | 42017 | 10254 | 626 |
679334 | 679334 | 2020-10-29 | Butler | Pennsylvania | 42019 | 1746 | 28 |
679335 | 679335 | 2020-10-29 | Cambria | Pennsylvania | 42021 | 1123 | 9 |
679336 | 679336 | 2020-10-29 | Cameron | Pennsylvania | 42023 | 9 | 0 |
679337 | 679337 | 2020-10-29 | Carbon | Pennsylvania | 42025 | 597 | 30 |
679338 | 679338 | 2020-10-29 | Centre | Pennsylvania | 42027 | 4184 | 16 |
679339 | 679339 | 2020-10-29 | Chester | Pennsylvania | 42029 | 8163 | 379 |
679340 | 679340 | 2020-10-29 | Clarion | Pennsylvania | 42031 | 226 | 4 |
679341 | 679341 | 2020-10-29 | Clearfield | Pennsylvania | 42033 | 480 | 7 |
679342 | 679342 | 2020-10-29 | Clinton | Pennsylvania | 42035 | 273 | 7 |
679343 | 679343 | 2020-10-29 | Columbia | Pennsylvania | 42037 | 1061 | 41 |
679344 | 679344 | 2020-10-29 | Crawford | Pennsylvania | 42039 | 532 | 3 |
679345 | 679345 | 2020-10-29 | Cumberland | Pennsylvania | 42041 | 2500 | 79 |
679346 | 679346 | 2020-10-29 | Dauphin | Pennsylvania | 42043 | 4852 | 196 |
679347 | 679347 | 2020-10-29 | Delaware | Pennsylvania | 42045 | 13618 | 813 |
679348 | 679348 | 2020-10-29 | Elk | Pennsylvania | 42047 | 167 | 2 |
679349 | 679349 | 2020-10-29 | Erie | Pennsylvania | 42049 | 2128 | 48 |
679350 | 679350 | 2020-10-29 | Fayette | Pennsylvania | 42051 | 1035 | 15 |
679351 | 679351 | 2020-10-29 | Forest | Pennsylvania | 42053 | 19 | 1 |
679352 | 679352 | 2020-10-29 | Franklin | Pennsylvania | 42055 | 2219 | 55 |
679353 | 679353 | 2020-10-29 | Fulton | Pennsylvania | 42057 | 83 | 4 |
679354 | 679354 | 2020-10-29 | Greene | Pennsylvania | 42059 | 244 | 1 |
679355 | 679355 | 2020-10-29 | Huntingdon | Pennsylvania | 42061 | 993 | 18 |
679356 | 679356 | 2020-10-29 | Indiana | Pennsylvania | 42063 | 1138 | 17 |
679357 | 679357 | 2020-10-29 | Jefferson | Pennsylvania | 42065 | 197 | 4 |
679358 | 679358 | 2020-10-29 | Juniata | Pennsylvania | 42067 | 241 | 8 |
679359 | 679359 | 2020-10-29 | Lackawanna | Pennsylvania | 42069 | 3780 | 218 |
679360 | 679360 | 2020-10-29 | Lancaster | Pennsylvania | 42071 | 9647 | 477 |
679361 | 679361 | 2020-10-29 | Lawrence | Pennsylvania | 42073 | 903 | 34 |
679362 | 679362 | 2020-10-29 | Lebanon | Pennsylvania | 42075 | 3057 | 67 |
679363 | 679363 | 2020-10-29 | Lehigh | Pennsylvania | 42077 | 6643 | 365 |
679364 | 679364 | 2020-10-29 | Luzerne | Pennsylvania | 42079 | 5412 | 199 |
679365 | 679365 | 2020-10-29 | Lycoming | Pennsylvania | 42081 | 979 | 32 |
679366 | 679366 | 2020-10-29 | McKean | Pennsylvania | 42083 | 148 | 2 |
679367 | 679367 | 2020-10-29 | Mercer | Pennsylvania | 42085 | 1073 | 27 |
679368 | 679368 | 2020-10-29 | Mifflin | Pennsylvania | 42087 | 411 | 3 |
679369 | 679369 | 2020-10-29 | Monroe | Pennsylvania | 42089 | 2029 | 135 |
679370 | 679370 | 2020-10-29 | Montgomery | Pennsylvania | 42091 | 14008 | 895 |
679371 | 679371 | 2020-10-29 | Montour | Pennsylvania | 42093 | 300 | 11 |
679372 | 679372 | 2020-10-29 | Northampton | Pennsylvania | 42095 | 5439 | 312 |
679373 | 679373 | 2020-10-29 | Northumberland | Pennsylvania | 42097 | 1549 | 112 |
679374 | 679374 | 2020-10-29 | Perry | Pennsylvania | 42099 | 363 | 6 |
679375 | 679375 | 2020-10-29 | Philadelphia | Pennsylvania | 42101 | 44139 | 1890 |
679376 | 679376 | 2020-10-29 | Pike | Pennsylvania | 42103 | 624 | 23 |
679377 | 679377 | 2020-10-29 | Potter | Pennsylvania | 42105 | 55 | 1 |
679378 | 679378 | 2020-10-29 | Schuylkill | Pennsylvania | 42107 | 2072 | 91 |
679379 | 679379 | 2020-10-29 | Snyder | Pennsylvania | 42109 | 491 | 17 |
679380 | 679380 | 2020-10-29 | Somerset | Pennsylvania | 42111 | 434 | 3 |
679381 | 679381 | 2020-10-29 | Sullivan | Pennsylvania | 42113 | 19 | 1 |
679382 | 679382 | 2020-10-29 | Susquehanna | Pennsylvania | 42115 | 408 | 28 |
679383 | 679383 | 2020-10-29 | Tioga | Pennsylvania | 42117 | 215 | 3 |
679384 | 679384 | 2020-10-29 | Union | Pennsylvania | 42119 | 705 | 11 |
679385 | 679385 | 2020-10-29 | Venango | Pennsylvania | 42121 | 268 | 1 |
679386 | 679386 | 2020-10-29 | Warren | Pennsylvania | 42123 | 66 | 1 |
679387 | 679387 | 2020-10-29 | Washington | Pennsylvania | 42125 | 2024 | 35 |
679388 | 679388 | 2020-10-29 | Wayne | Pennsylvania | 42127 | 289 | 12 |
679389 | 679389 | 2020-10-29 | Westmoreland | Pennsylvania | 42129 | 4334 | 99 |
679390 | 679390 | 2020-10-29 | Wyoming | Pennsylvania | 42131 | 141 | 8 |
679391 | 679391 | 2020-10-29 | York | Pennsylvania | 42133 | 6545 | 205 |
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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);