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 2021-05-29 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
1367464 | 1367464 | 2021-05-29 | Adams | Pennsylvania | 42001 | 9558 | 183 |
1367465 | 1367465 | 2021-05-29 | Allegheny | Pennsylvania | 42003 | 101223 | 1979 |
1367466 | 1367466 | 2021-05-29 | Armstrong | Pennsylvania | 42005 | 5977 | 144 |
1367467 | 1367467 | 2021-05-29 | Beaver | Pennsylvania | 42007 | 15410 | 383 |
1367468 | 1367468 | 2021-05-29 | Bedford | Pennsylvania | 42009 | 4626 | 138 |
1367469 | 1367469 | 2021-05-29 | Berks | Pennsylvania | 42011 | 47950 | 1031 |
1367470 | 1367470 | 2021-05-29 | Blair | Pennsylvania | 42013 | 13414 | 338 |
1367471 | 1367471 | 2021-05-29 | Bradford | Pennsylvania | 42015 | 6041 | 90 |
1367472 | 1367472 | 2021-05-29 | Bucks | Pennsylvania | 42017 | 60554 | 1301 |
1367473 | 1367473 | 2021-05-29 | Butler | Pennsylvania | 42019 | 17446 | 415 |
1367474 | 1367474 | 2021-05-29 | Cambria | Pennsylvania | 42021 | 14597 | 432 |
1367475 | 1367475 | 2021-05-29 | Cameron | Pennsylvania | 42023 | 303 | 7 |
1367476 | 1367476 | 2021-05-29 | Carbon | Pennsylvania | 42025 | 6356 | 171 |
1367477 | 1367477 | 2021-05-29 | Centre | Pennsylvania | 42027 | 16853 | 224 |
1367478 | 1367478 | 2021-05-29 | Chester | Pennsylvania | 42029 | 40623 | 814 |
1367479 | 1367479 | 2021-05-29 | Clarion | Pennsylvania | 42031 | 3181 | 92 |
1367480 | 1367480 | 2021-05-29 | Clearfield | Pennsylvania | 42033 | 8578 | 147 |
1367481 | 1367481 | 2021-05-29 | Clinton | Pennsylvania | 42035 | 3679 | 66 |
1367482 | 1367482 | 2021-05-29 | Columbia | Pennsylvania | 42037 | 5845 | 133 |
1367483 | 1367483 | 2021-05-29 | Crawford | Pennsylvania | 42039 | 7435 | 151 |
1367484 | 1367484 | 2021-05-29 | Cumberland | Pennsylvania | 42041 | 20377 | 524 |
1367485 | 1367485 | 2021-05-29 | Dauphin | Pennsylvania | 42043 | 25904 | 548 |
1367486 | 1367486 | 2021-05-29 | Delaware | Pennsylvania | 42045 | 52113 | 1444 |
1367487 | 1367487 | 2021-05-29 | Elk | Pennsylvania | 42047 | 2859 | 39 |
1367488 | 1367488 | 2021-05-29 | Erie | Pennsylvania | 42049 | 20997 | 415 |
1367489 | 1367489 | 2021-05-29 | Fayette | Pennsylvania | 42051 | 13183 | 322 |
1367490 | 1367490 | 2021-05-29 | Forest | Pennsylvania | 42053 | 1430 | 21 |
1367491 | 1367491 | 2021-05-29 | Franklin | Pennsylvania | 42055 | 15297 | 370 |
1367492 | 1367492 | 2021-05-29 | Fulton | Pennsylvania | 42057 | 1355 | 15 |
1367493 | 1367493 | 2021-05-29 | Greene | Pennsylvania | 42059 | 3292 | 40 |
1367494 | 1367494 | 2021-05-29 | Huntingdon | Pennsylvania | 42061 | 5106 | 132 |
1367495 | 1367495 | 2021-05-29 | Indiana | Pennsylvania | 42063 | 6345 | 176 |
1367496 | 1367496 | 2021-05-29 | Jefferson | Pennsylvania | 42065 | 3322 | 98 |
1367497 | 1367497 | 2021-05-29 | Juniata | Pennsylvania | 42067 | 2130 | 87 |
1367498 | 1367498 | 2021-05-29 | Lackawanna | Pennsylvania | 42069 | 18436 | 473 |
1367499 | 1367499 | 2021-05-29 | Lancaster | Pennsylvania | 42071 | 55090 | 1153 |
1367500 | 1367500 | 2021-05-29 | Lawrence | Pennsylvania | 42073 | 7576 | 211 |
1367501 | 1367501 | 2021-05-29 | Lebanon | Pennsylvania | 42075 | 16096 | 289 |
1367502 | 1367502 | 2021-05-29 | Lehigh | Pennsylvania | 42077 | 39609 | 853 |
1367503 | 1367503 | 2021-05-29 | Luzerne | Pennsylvania | 42079 | 31777 | 812 |
1367504 | 1367504 | 2021-05-29 | Lycoming | Pennsylvania | 42081 | 11856 | 286 |
1367505 | 1367505 | 2021-05-29 | McKean | Pennsylvania | 42083 | 3769 | 72 |
1367506 | 1367506 | 2021-05-29 | Mercer | Pennsylvania | 42085 | 9592 | 257 |
1367507 | 1367507 | 2021-05-29 | Mifflin | Pennsylvania | 42087 | 5384 | 178 |
1367508 | 1367508 | 2021-05-29 | Monroe | Pennsylvania | 42089 | 14688 | 317 |
1367509 | 1367509 | 2021-05-29 | Montgomery | Pennsylvania | 42091 | 70006 | 1716 |
1367510 | 1367510 | 2021-05-29 | Montour | Pennsylvania | 42093 | 2008 | 66 |
1367511 | 1367511 | 2021-05-29 | Northampton | Pennsylvania | 42095 | 35676 | 711 |
1367512 | 1367512 | 2021-05-29 | Northumberland | Pennsylvania | 42097 | 9607 | 357 |
1367513 | 1367513 | 2021-05-29 | Perry | Pennsylvania | 42099 | 3814 | 100 |
1367514 | 1367514 | 2021-05-29 | Philadelphia | Pennsylvania | 42101 | 152956 | 3669 |
1367515 | 1367515 | 2021-05-29 | Pike | Pennsylvania | 42103 | 3986 | 54 |
1367516 | 1367516 | 2021-05-29 | Potter | Pennsylvania | 42105 | 1181 | 23 |
1367517 | 1367517 | 2021-05-29 | Schuylkill | Pennsylvania | 42107 | 14704 | 407 |
1367518 | 1367518 | 2021-05-29 | Snyder | Pennsylvania | 42109 | 3654 | 84 |
1367519 | 1367519 | 2021-05-29 | Somerset | Pennsylvania | 42111 | 7980 | 212 |
1367520 | 1367520 | 2021-05-29 | Sullivan | Pennsylvania | 42113 | 434 | 20 |
1367521 | 1367521 | 2021-05-29 | Susquehanna | Pennsylvania | 42115 | 2633 | 62 |
1367522 | 1367522 | 2021-05-29 | Tioga | Pennsylvania | 42117 | 3041 | 108 |
1367523 | 1367523 | 2021-05-29 | Union | Pennsylvania | 42119 | 6125 | 87 |
1367524 | 1367524 | 2021-05-29 | Venango | Pennsylvania | 42121 | 4052 | 96 |
1367525 | 1367525 | 2021-05-29 | Warren | Pennsylvania | 42123 | 2621 | 103 |
1367526 | 1367526 | 2021-05-29 | Washington | Pennsylvania | 42125 | 17760 | 300 |
1367527 | 1367527 | 2021-05-29 | Wayne | Pennsylvania | 42127 | 4103 | 80 |
1367528 | 1367528 | 2021-05-29 | Westmoreland | Pennsylvania | 42129 | 34091 | 766 |
1367529 | 1367529 | 2021-05-29 | Wyoming | Pennsylvania | 42131 | 1968 | 54 |
1367530 | 1367530 | 2021-05-29 | York | Pennsylvania | 42133 | 46318 | 811 |
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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);