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 2020-04-28 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
97351 | 97351 | 2020-04-28 | Adams | Pennsylvania | 42001 | 124 | 2 |
97352 | 97352 | 2020-04-28 | Allegheny | Pennsylvania | 42003 | 1235 | 87 |
97353 | 97353 | 2020-04-28 | Armstrong | Pennsylvania | 42005 | 50 | 2 |
97354 | 97354 | 2020-04-28 | Beaver | Pennsylvania | 42007 | 388 | 59 |
97355 | 97355 | 2020-04-28 | Bedford | Pennsylvania | 42009 | 22 | 1 |
97356 | 97356 | 2020-04-28 | Berks | Pennsylvania | 42011 | 2605 | 91 |
97357 | 97357 | 2020-04-28 | Blair | Pennsylvania | 42013 | 21 | 0 |
97358 | 97358 | 2020-04-28 | Bradford | Pennsylvania | 42015 | 28 | 5 |
97359 | 97359 | 2020-04-28 | Bucks | Pennsylvania | 42017 | 2776 | 178 |
97360 | 97360 | 2020-04-28 | Butler | Pennsylvania | 42019 | 174 | 6 |
97361 | 97361 | 2020-04-28 | Cambria | Pennsylvania | 42021 | 22 | 2 |
97362 | 97362 | 2020-04-28 | Cameron | Pennsylvania | 42023 | 1 | 0 |
97363 | 97363 | 2020-04-28 | Carbon | Pennsylvania | 42025 | 169 | 13 |
97364 | 97364 | 2020-04-28 | Centre | Pennsylvania | 42027 | 93 | 2 |
97365 | 97365 | 2020-04-28 | Chester | Pennsylvania | 42029 | 1289 | 85 |
97366 | 97366 | 2020-04-28 | Clarion | Pennsylvania | 42031 | 23 | 1 |
97367 | 97367 | 2020-04-28 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
97368 | 97368 | 2020-04-28 | Clinton | Pennsylvania | 42035 | 29 | 0 |
97369 | 97369 | 2020-04-28 | Columbia | Pennsylvania | 42037 | 279 | 8 |
97370 | 97370 | 2020-04-28 | Crawford | Pennsylvania | 42039 | 19 | 0 |
97371 | 97371 | 2020-04-28 | Cumberland | Pennsylvania | 42041 | 296 | 10 |
97372 | 97372 | 2020-04-28 | Dauphin | Pennsylvania | 42043 | 553 | 20 |
97373 | 97373 | 2020-04-28 | Delaware | Pennsylvania | 42045 | 3514 | 164 |
97374 | 97374 | 2020-04-28 | Elk | Pennsylvania | 42047 | 3 | 0 |
97375 | 97375 | 2020-04-28 | Erie | Pennsylvania | 42049 | 86 | 2 |
97376 | 97376 | 2020-04-28 | Fayette | Pennsylvania | 42051 | 79 | 4 |
97377 | 97377 | 2020-04-28 | Forest | Pennsylvania | 42053 | 7 | 0 |
97378 | 97378 | 2020-04-28 | Franklin | Pennsylvania | 42055 | 237 | 10 |
97379 | 97379 | 2020-04-28 | Fulton | Pennsylvania | 42057 | 3 | 0 |
97380 | 97380 | 2020-04-28 | Greene | Pennsylvania | 42059 | 26 | 0 |
97381 | 97381 | 2020-04-28 | Huntingdon | Pennsylvania | 42061 | 26 | 0 |
97382 | 97382 | 2020-04-28 | Indiana | Pennsylvania | 42063 | 62 | 4 |
97383 | 97383 | 2020-04-28 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
97384 | 97384 | 2020-04-28 | Juniata | Pennsylvania | 42067 | 81 | 0 |
97385 | 97385 | 2020-04-28 | Lackawanna | Pennsylvania | 42069 | 854 | 71 |
97386 | 97386 | 2020-04-28 | Lancaster | Pennsylvania | 42071 | 1678 | 164 |
97387 | 97387 | 2020-04-28 | Lawrence | Pennsylvania | 42073 | 63 | 6 |
97388 | 97388 | 2020-04-28 | Lebanon | Pennsylvania | 42075 | 635 | 8 |
97389 | 97389 | 2020-04-28 | Lehigh | Pennsylvania | 42077 | 2685 | 64 |
97390 | 97390 | 2020-04-28 | Luzerne | Pennsylvania | 42079 | 2078 | 74 |
97391 | 97391 | 2020-04-28 | Lycoming | Pennsylvania | 42081 | 58 | 2 |
97392 | 97392 | 2020-04-28 | McKean | Pennsylvania | 42083 | 5 | 0 |
97393 | 97393 | 2020-04-28 | Mercer | Pennsylvania | 42085 | 66 | 1 |
97394 | 97394 | 2020-04-28 | Mifflin | Pennsylvania | 42087 | 34 | 0 |
97395 | 97395 | 2020-04-28 | Monroe | Pennsylvania | 42089 | 1097 | 48 |
97396 | 97396 | 2020-04-28 | Montgomery | Pennsylvania | 42091 | 4043 | 249 |
97397 | 97397 | 2020-04-28 | Montour | Pennsylvania | 42093 | 48 | 0 |
97398 | 97398 | 2020-04-28 | Northampton | Pennsylvania | 42095 | 1970 | 55 |
97399 | 97399 | 2020-04-28 | Northumberland | Pennsylvania | 42097 | 92 | 0 |
97400 | 97400 | 2020-04-28 | Perry | Pennsylvania | 42099 | 27 | 1 |
97401 | 97401 | 2020-04-28 | Philadelphia | Pennsylvania | 42101 | 13445 | 516 |
97402 | 97402 | 2020-04-28 | Pike | Pennsylvania | 42103 | 362 | 12 |
97403 | 97403 | 2020-04-28 | Potter | Pennsylvania | 42105 | 4 | 0 |
97404 | 97404 | 2020-04-28 | Schuylkill | Pennsylvania | 42107 | 330 | 7 |
97405 | 97405 | 2020-04-28 | Snyder | Pennsylvania | 42109 | 33 | 1 |
97406 | 97406 | 2020-04-28 | Somerset | Pennsylvania | 42111 | 26 | 0 |
97407 | 97407 | 2020-04-28 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
97408 | 97408 | 2020-04-28 | Susquehanna | Pennsylvania | 42115 | 82 | 4 |
97409 | 97409 | 2020-04-28 | Tioga | Pennsylvania | 42117 | 14 | 2 |
97410 | 97410 | 2020-04-28 | Union | Pennsylvania | 42119 | 33 | 0 |
97411 | 97411 | 2020-04-28 | Venango | Pennsylvania | 42121 | 7 | 0 |
97412 | 97412 | 2020-04-28 | Warren | Pennsylvania | 42123 | 1 | 1 |
97413 | 97413 | 2020-04-28 | Washington | Pennsylvania | 42125 | 109 | 2 |
97414 | 97414 | 2020-04-28 | Wayne | Pennsylvania | 42127 | 93 | 3 |
97415 | 97415 | 2020-04-28 | Westmoreland | Pennsylvania | 42129 | 383 | 30 |
97416 | 97416 | 2020-04-28 | Wyoming | Pennsylvania | 42131 | 18 | 2 |
97417 | 97417 | 2020-04-28 | York | Pennsylvania | 42133 | 614 | 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);