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 2021-08-18 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1630450 | 1630450 | 2021-08-18 | Adams | Pennsylvania | 42001 | 10165 | 190 |
1630451 | 1630451 | 2021-08-18 | Allegheny | Pennsylvania | 42003 | 106150 | 2047 |
1630452 | 1630452 | 2021-08-18 | Armstrong | Pennsylvania | 42005 | 6166 | 148 |
1630453 | 1630453 | 2021-08-18 | Beaver | Pennsylvania | 42007 | 16245 | 395 |
1630454 | 1630454 | 2021-08-18 | Bedford | Pennsylvania | 42009 | 4875 | 142 |
1630455 | 1630455 | 2021-08-18 | Berks | Pennsylvania | 42011 | 49801 | 1045 |
1630456 | 1630456 | 2021-08-18 | Blair | Pennsylvania | 42013 | 13748 | 346 |
1630457 | 1630457 | 2021-08-18 | Bradford | Pennsylvania | 42015 | 6230 | 97 |
1630458 | 1630458 | 2021-08-18 | Bucks | Pennsylvania | 42017 | 63107 | 1338 |
1630459 | 1630459 | 2021-08-18 | Butler | Pennsylvania | 42019 | 18286 | 425 |
1630460 | 1630460 | 2021-08-18 | Cambria | Pennsylvania | 42021 | 15149 | 443 |
1630461 | 1630461 | 2021-08-18 | Cameron | Pennsylvania | 42023 | 324 | 10 |
1630462 | 1630462 | 2021-08-18 | Carbon | Pennsylvania | 42025 | 6620 | 176 |
1630463 | 1630463 | 2021-08-18 | Centre | Pennsylvania | 42027 | 17329 | 230 |
1630464 | 1630464 | 2021-08-18 | Chester | Pennsylvania | 42029 | 42565 | 830 |
1630465 | 1630465 | 2021-08-18 | Clarion | Pennsylvania | 42031 | 3300 | 96 |
1630466 | 1630466 | 2021-08-18 | Clearfield | Pennsylvania | 42033 | 8972 | 162 |
1630467 | 1630467 | 2021-08-18 | Clinton | Pennsylvania | 42035 | 3837 | 68 |
1630468 | 1630468 | 2021-08-18 | Columbia | Pennsylvania | 42037 | 6080 | 136 |
1630469 | 1630469 | 2021-08-18 | Crawford | Pennsylvania | 42039 | 7806 | 158 |
1630470 | 1630470 | 2021-08-18 | Cumberland | Pennsylvania | 42041 | 21539 | 535 |
1630471 | 1630471 | 2021-08-18 | Dauphin | Pennsylvania | 42043 | 27367 | 573 |
1630472 | 1630472 | 2021-08-18 | Delaware | Pennsylvania | 42045 | 54242 | 1426 |
1630473 | 1630473 | 2021-08-18 | Elk | Pennsylvania | 42047 | 2941 | 41 |
1630474 | 1630474 | 2021-08-18 | Erie | Pennsylvania | 42049 | 21920 | 423 |
1630475 | 1630475 | 2021-08-18 | Fayette | Pennsylvania | 42051 | 13749 | 335 |
1630476 | 1630476 | 2021-08-18 | Forest | Pennsylvania | 42053 | 1445 | 21 |
1630477 | 1630477 | 2021-08-18 | Franklin | Pennsylvania | 42055 | 16029 | 378 |
1630478 | 1630478 | 2021-08-18 | Fulton | Pennsylvania | 42057 | 1415 | 17 |
1630479 | 1630479 | 2021-08-18 | Greene | Pennsylvania | 42059 | 3471 | 42 |
1630480 | 1630480 | 2021-08-18 | Huntingdon | Pennsylvania | 42061 | 5265 | 137 |
1630481 | 1630481 | 2021-08-18 | Indiana | Pennsylvania | 42063 | 6657 | 180 |
1630482 | 1630482 | 2021-08-18 | Jefferson | Pennsylvania | 42065 | 3440 | 99 |
1630483 | 1630483 | 2021-08-18 | Juniata | Pennsylvania | 42067 | 2191 | 88 |
1630484 | 1630484 | 2021-08-18 | Lackawanna | Pennsylvania | 42069 | 19081 | 487 |
1630485 | 1630485 | 2021-08-18 | Lancaster | Pennsylvania | 42071 | 57499 | 1179 |
1630486 | 1630486 | 2021-08-18 | Lawrence | Pennsylvania | 42073 | 8086 | 224 |
1630487 | 1630487 | 2021-08-18 | Lebanon | Pennsylvania | 42075 | 16689 | 301 |
1630488 | 1630488 | 2021-08-18 | Lehigh | Pennsylvania | 42077 | 41371 | 875 |
1630489 | 1630489 | 2021-08-18 | Luzerne | Pennsylvania | 42079 | 33142 | 838 |
1630490 | 1630490 | 2021-08-18 | Lycoming | Pennsylvania | 42081 | 12254 | 300 |
1630491 | 1630491 | 2021-08-18 | McKean | Pennsylvania | 42083 | 3886 | 75 |
1630492 | 1630492 | 2021-08-18 | Mercer | Pennsylvania | 42085 | 9962 | 269 |
1630493 | 1630493 | 2021-08-18 | Mifflin | Pennsylvania | 42087 | 5525 | 183 |
1630494 | 1630494 | 2021-08-18 | Monroe | Pennsylvania | 42089 | 15622 | 323 |
1630495 | 1630495 | 2021-08-18 | Montgomery | Pennsylvania | 42091 | 73441 | 1747 |
1630496 | 1630496 | 2021-08-18 | Montour | Pennsylvania | 42093 | 2046 | 67 |
1630497 | 1630497 | 2021-08-18 | Northampton | Pennsylvania | 42095 | 37604 | 725 |
1630498 | 1630498 | 2021-08-18 | Northumberland | Pennsylvania | 42097 | 9933 | 366 |
1630499 | 1630499 | 2021-08-18 | Perry | Pennsylvania | 42099 | 3980 | 101 |
1630500 | 1630500 | 2021-08-18 | Philadelphia | Pennsylvania | 42101 | 161040 | 3802 |
1630501 | 1630501 | 2021-08-18 | Pike | Pennsylvania | 42103 | 4250 | 54 |
1630502 | 1630502 | 2021-08-18 | Potter | Pennsylvania | 42105 | 1274 | 25 |
1630503 | 1630503 | 2021-08-18 | Schuylkill | Pennsylvania | 42107 | 15202 | 415 |
1630504 | 1630504 | 2021-08-18 | Snyder | Pennsylvania | 42109 | 3769 | 86 |
1630505 | 1630505 | 2021-08-18 | Somerset | Pennsylvania | 42111 | 8253 | 219 |
1630506 | 1630506 | 2021-08-18 | Sullivan | Pennsylvania | 42113 | 448 | 21 |
1630507 | 1630507 | 2021-08-18 | Susquehanna | Pennsylvania | 42115 | 2750 | 62 |
1630508 | 1630508 | 2021-08-18 | Tioga | Pennsylvania | 42117 | 3184 | 113 |
1630509 | 1630509 | 2021-08-18 | Union | Pennsylvania | 42119 | 6250 | 90 |
1630510 | 1630510 | 2021-08-18 | Venango | Pennsylvania | 42121 | 4234 | 105 |
1630511 | 1630511 | 2021-08-18 | Warren | Pennsylvania | 42123 | 2709 | 107 |
1630512 | 1630512 | 2021-08-18 | Washington | Pennsylvania | 42125 | 18622 | 314 |
1630513 | 1630513 | 2021-08-18 | Wayne | Pennsylvania | 42127 | 4351 | 84 |
1630514 | 1630514 | 2021-08-18 | Westmoreland | Pennsylvania | 42129 | 35458 | 788 |
1630515 | 1630515 | 2021-08-18 | Wyoming | Pennsylvania | 42131 | 2073 | 54 |
1630516 | 1630516 | 2021-08-18 | York | Pennsylvania | 42133 | 48746 | 842 |
Advanced export
JSON shape: default, array, newline-delimited
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);