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 2020-05-09 and state = "Pennsylvania" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
129331 | 129331 | 2020-05-09 | Adams | Pennsylvania | 42001 | 156 | 5 |
129332 | 129332 | 2020-05-09 | Allegheny | Pennsylvania | 42003 | 1486 | 120 |
129333 | 129333 | 2020-05-09 | Armstrong | Pennsylvania | 42005 | 55 | 3 |
129334 | 129334 | 2020-05-09 | Beaver | Pennsylvania | 42007 | 482 | 78 |
129335 | 129335 | 2020-05-09 | Bedford | Pennsylvania | 42009 | 29 | 1 |
129336 | 129336 | 2020-05-09 | Berks | Pennsylvania | 42011 | 3257 | 169 |
129337 | 129337 | 2020-05-09 | Blair | Pennsylvania | 42013 | 28 | 0 |
129338 | 129338 | 2020-05-09 | Bradford | Pennsylvania | 42015 | 38 | 5 |
129339 | 129339 | 2020-05-09 | Bucks | Pennsylvania | 42017 | 3852 | 336 |
129340 | 129340 | 2020-05-09 | Butler | Pennsylvania | 42019 | 194 | 6 |
129341 | 129341 | 2020-05-09 | Cambria | Pennsylvania | 42021 | 42 | 2 |
129342 | 129342 | 2020-05-09 | Cameron | Pennsylvania | 42023 | 2 | 0 |
129343 | 129343 | 2020-05-09 | Carbon | Pennsylvania | 42025 | 195 | 16 |
129344 | 129344 | 2020-05-09 | Centre | Pennsylvania | 42027 | 117 | 2 |
129345 | 129345 | 2020-05-09 | Chester | Pennsylvania | 42029 | 1816 | 183 |
129346 | 129346 | 2020-05-09 | Clarion | Pennsylvania | 42031 | 23 | 1 |
129347 | 129347 | 2020-05-09 | Clearfield | Pennsylvania | 42033 | 24 | 0 |
129348 | 129348 | 2020-05-09 | Clinton | Pennsylvania | 42035 | 41 | 0 |
129349 | 129349 | 2020-05-09 | Columbia | Pennsylvania | 42037 | 323 | 28 |
129350 | 129350 | 2020-05-09 | Crawford | Pennsylvania | 42039 | 20 | 0 |
129351 | 129351 | 2020-05-09 | Cumberland | Pennsylvania | 42041 | 425 | 33 |
129352 | 129352 | 2020-05-09 | Dauphin | Pennsylvania | 42043 | 797 | 36 |
129353 | 129353 | 2020-05-09 | Delaware | Pennsylvania | 42045 | 4894 | 394 |
129354 | 129354 | 2020-05-09 | Elk | Pennsylvania | 42047 | 5 | 1 |
129355 | 129355 | 2020-05-09 | Erie | Pennsylvania | 42049 | 120 | 2 |
129356 | 129356 | 2020-05-09 | Fayette | Pennsylvania | 42051 | 85 | 4 |
129357 | 129357 | 2020-05-09 | Forest | Pennsylvania | 42053 | 7 | 0 |
129358 | 129358 | 2020-05-09 | Franklin | Pennsylvania | 42055 | 478 | 12 |
129359 | 129359 | 2020-05-09 | Fulton | Pennsylvania | 42057 | 8 | 0 |
129360 | 129360 | 2020-05-09 | Greene | Pennsylvania | 42059 | 27 | 1 |
129361 | 129361 | 2020-05-09 | Huntingdon | Pennsylvania | 42061 | 119 | 0 |
129362 | 129362 | 2020-05-09 | Indiana | Pennsylvania | 42063 | 76 | 5 |
129363 | 129363 | 2020-05-09 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
129364 | 129364 | 2020-05-09 | Juniata | Pennsylvania | 42067 | 93 | 1 |
129365 | 129365 | 2020-05-09 | Lackawanna | Pennsylvania | 42069 | 1134 | 115 |
129366 | 129366 | 2020-05-09 | Lancaster | Pennsylvania | 42071 | 2185 | 228 |
129367 | 129367 | 2020-05-09 | Lawrence | Pennsylvania | 42073 | 69 | 7 |
129368 | 129368 | 2020-05-09 | Lebanon | Pennsylvania | 42075 | 805 | 16 |
129369 | 129369 | 2020-05-09 | Lehigh | Pennsylvania | 42077 | 3169 | 120 |
129370 | 129370 | 2020-05-09 | Luzerne | Pennsylvania | 42079 | 2356 | 111 |
129371 | 129371 | 2020-05-09 | Lycoming | Pennsylvania | 42081 | 127 | 4 |
129372 | 129372 | 2020-05-09 | McKean | Pennsylvania | 42083 | 6 | 1 |
129373 | 129373 | 2020-05-09 | Mercer | Pennsylvania | 42085 | 73 | 2 |
129374 | 129374 | 2020-05-09 | Mifflin | Pennsylvania | 42087 | 50 | 0 |
129375 | 129375 | 2020-05-09 | Monroe | Pennsylvania | 42089 | 1206 | 63 |
129376 | 129376 | 2020-05-09 | Montgomery | Pennsylvania | 42091 | 5116 | 523 |
129377 | 129377 | 2020-05-09 | Montour | Pennsylvania | 42093 | 49 | 0 |
129378 | 129378 | 2020-05-09 | Northampton | Pennsylvania | 42095 | 2429 | 158 |
129379 | 129379 | 2020-05-09 | Northumberland | Pennsylvania | 42097 | 119 | 0 |
129380 | 129380 | 2020-05-09 | Perry | Pennsylvania | 42099 | 34 | 1 |
129381 | 129381 | 2020-05-09 | Philadelphia | Pennsylvania | 42101 | 17881 | 891 |
129382 | 129382 | 2020-05-09 | Pike | Pennsylvania | 42103 | 427 | 21 |
129383 | 129383 | 2020-05-09 | Potter | Pennsylvania | 42105 | 4 | 0 |
129384 | 129384 | 2020-05-09 | Schuylkill | Pennsylvania | 42107 | 437 | 13 |
129385 | 129385 | 2020-05-09 | Snyder | Pennsylvania | 42109 | 33 | 1 |
129386 | 129386 | 2020-05-09 | Somerset | Pennsylvania | 42111 | 32 | 1 |
129387 | 129387 | 2020-05-09 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
129388 | 129388 | 2020-05-09 | Susquehanna | Pennsylvania | 42115 | 82 | 13 |
129389 | 129389 | 2020-05-09 | Tioga | Pennsylvania | 42117 | 16 | 2 |
129390 | 129390 | 2020-05-09 | Union | Pennsylvania | 42119 | 40 | 1 |
129391 | 129391 | 2020-05-09 | Venango | Pennsylvania | 42121 | 7 | 0 |
129392 | 129392 | 2020-05-09 | Warren | Pennsylvania | 42123 | 1 | 1 |
129393 | 129393 | 2020-05-09 | Washington | Pennsylvania | 42125 | 124 | 4 |
129394 | 129394 | 2020-05-09 | Wayne | Pennsylvania | 42127 | 116 | 5 |
129395 | 129395 | 2020-05-09 | Westmoreland | Pennsylvania | 42129 | 415 | 32 |
129396 | 129396 | 2020-05-09 | Wyoming | Pennsylvania | 42131 | 30 | 2 |
129397 | 129397 | 2020-05-09 | York | Pennsylvania | 42133 | 767 | 13 |
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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);