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 2021-12-01 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1971619 | 1971619 | 2021-12-01 | Adams | Pennsylvania | 42001 | 14762 | 247 |
1971620 | 1971620 | 2021-12-01 | Allegheny | Pennsylvania | 42003 | 150886 | 2495 |
1971621 | 1971621 | 2021-12-01 | Armstrong | Pennsylvania | 42005 | 10489 | 228 |
1971622 | 1971622 | 2021-12-01 | Beaver | Pennsylvania | 42007 | 26172 | 523 |
1971623 | 1971623 | 2021-12-01 | Bedford | Pennsylvania | 42009 | 7786 | 192 |
1971624 | 1971624 | 2021-12-01 | Berks | Pennsylvania | 42011 | 64789 | 1210 |
1971625 | 1971625 | 2021-12-01 | Blair | Pennsylvania | 42013 | 20774 | 437 |
1971626 | 1971626 | 2021-12-01 | Bradford | Pennsylvania | 42015 | 9287 | 137 |
1971627 | 1971627 | 2021-12-01 | Bucks | Pennsylvania | 42017 | 79277 | 1482 |
1971628 | 1971628 | 2021-12-01 | Butler | Pennsylvania | 42019 | 29058 | 549 |
1971629 | 1971629 | 2021-12-01 | Cambria | Pennsylvania | 42021 | 22742 | 565 |
1971630 | 1971630 | 2021-12-01 | Cameron | Pennsylvania | 42023 | 596 | 13 |
1971631 | 1971631 | 2021-12-01 | Carbon | Pennsylvania | 42025 | 10068 | 214 |
1971632 | 1971632 | 2021-12-01 | Centre | Pennsylvania | 42027 | 22912 | 258 |
1971633 | 1971633 | 2021-12-01 | Chester | Pennsylvania | 42029 | 55670 | 906 |
1971634 | 1971634 | 2021-12-01 | Clarion | Pennsylvania | 42031 | 5938 | 147 |
1971635 | 1971635 | 2021-12-01 | Clearfield | Pennsylvania | 42033 | 12813 | 228 |
1971636 | 1971636 | 2021-12-01 | Clinton | Pennsylvania | 42035 | 6048 | 92 |
1971637 | 1971637 | 2021-12-01 | Columbia | Pennsylvania | 42037 | 9256 | 167 |
1971638 | 1971638 | 2021-12-01 | Crawford | Pennsylvania | 42039 | 13354 | 218 |
1971639 | 1971639 | 2021-12-01 | Cumberland | Pennsylvania | 42041 | 31775 | 656 |
1971640 | 1971640 | 2021-12-01 | Dauphin | Pennsylvania | 42043 | 38271 | 694 |
1971641 | 1971641 | 2021-12-01 | Delaware | Pennsylvania | 42045 | 66368 | 1527 |
1971642 | 1971642 | 2021-12-01 | Elk | Pennsylvania | 42047 | 4839 | 66 |
1971643 | 1971643 | 2021-12-01 | Erie | Pennsylvania | 42049 | 35940 | 547 |
1971644 | 1971644 | 2021-12-01 | Fayette | Pennsylvania | 42051 | 20623 | 462 |
1971645 | 1971645 | 2021-12-01 | Forest | Pennsylvania | 42053 | 1755 | 29 |
1971646 | 1971646 | 2021-12-01 | Franklin | Pennsylvania | 42055 | 24197 | 496 |
1971647 | 1971647 | 2021-12-01 | Fulton | Pennsylvania | 42057 | 2653 | 39 |
1971648 | 1971648 | 2021-12-01 | Greene | Pennsylvania | 42059 | 5700 | 65 |
1971649 | 1971649 | 2021-12-01 | Huntingdon | Pennsylvania | 42061 | 7649 | 179 |
1971650 | 1971650 | 2021-12-01 | Indiana | Pennsylvania | 42063 | 10952 | 268 |
1971651 | 1971651 | 2021-12-01 | Jefferson | Pennsylvania | 42065 | 6153 | 148 |
1971652 | 1971652 | 2021-12-01 | Juniata | Pennsylvania | 42067 | 3352 | 125 |
1971653 | 1971653 | 2021-12-01 | Lackawanna | Pennsylvania | 42069 | 25592 | 549 |
1971654 | 1971654 | 2021-12-01 | Lancaster | Pennsylvania | 42071 | 78794 | 1407 |
1971655 | 1971655 | 2021-12-01 | Lawrence | Pennsylvania | 42073 | 12718 | 297 |
1971656 | 1971656 | 2021-12-01 | Lebanon | Pennsylvania | 42075 | 23017 | 360 |
1971657 | 1971657 | 2021-12-01 | Lehigh | Pennsylvania | 42077 | 53173 | 963 |
1971658 | 1971658 | 2021-12-01 | Luzerne | Pennsylvania | 42079 | 46190 | 988 |
1971659 | 1971659 | 2021-12-01 | Lycoming | Pennsylvania | 42081 | 19554 | 394 |
1971660 | 1971660 | 2021-12-01 | McKean | Pennsylvania | 42083 | 5873 | 106 |
1971661 | 1971661 | 2021-12-01 | Mercer | Pennsylvania | 42085 | 15906 | 374 |
1971662 | 1971662 | 2021-12-01 | Mifflin | Pennsylvania | 42087 | 8206 | 223 |
1971663 | 1971663 | 2021-12-01 | Monroe | Pennsylvania | 42089 | 21879 | 381 |
1971664 | 1971664 | 2021-12-01 | Montgomery | Pennsylvania | 42091 | 92939 | 1909 |
1971665 | 1971665 | 2021-12-01 | Montour | Pennsylvania | 42093 | 2898 | 75 |
1971666 | 1971666 | 2021-12-01 | Northampton | Pennsylvania | 42095 | 48668 | 819 |
1971667 | 1971667 | 2021-12-01 | Northumberland | Pennsylvania | 42097 | 14891 | 430 |
1971668 | 1971668 | 2021-12-01 | Perry | Pennsylvania | 42099 | 5969 | 134 |
1971669 | 1971669 | 2021-12-01 | Philadelphia | Pennsylvania | 42101 | 191846 | 4103 |
1971670 | 1971670 | 2021-12-01 | Pike | Pennsylvania | 42103 | 6082 | 70 |
1971671 | 1971671 | 2021-12-01 | Potter | Pennsylvania | 42105 | 2324 | 63 |
1971672 | 1971672 | 2021-12-01 | Schuylkill | Pennsylvania | 42107 | 22496 | 504 |
1971673 | 1971673 | 2021-12-01 | Snyder | Pennsylvania | 42109 | 5401 | 113 |
1971674 | 1971674 | 2021-12-01 | Somerset | Pennsylvania | 42111 | 12277 | 278 |
1971675 | 1971675 | 2021-12-01 | Sullivan | Pennsylvania | 42113 | 656 | 24 |
1971676 | 1971676 | 2021-12-01 | Susquehanna | Pennsylvania | 42115 | 4647 | 76 |
1971677 | 1971677 | 2021-12-01 | Tioga | Pennsylvania | 42117 | 5559 | 150 |
1971678 | 1971678 | 2021-12-01 | Union | Pennsylvania | 42119 | 8155 | 112 |
1971679 | 1971679 | 2021-12-01 | Venango | Pennsylvania | 42121 | 8020 | 170 |
1971680 | 1971680 | 2021-12-01 | Warren | Pennsylvania | 42123 | 5129 | 157 |
1971681 | 1971681 | 2021-12-01 | Washington | Pennsylvania | 42125 | 30121 | 435 |
1971682 | 1971682 | 2021-12-01 | Wayne | Pennsylvania | 42127 | 6596 | 124 |
1971683 | 1971683 | 2021-12-01 | Westmoreland | Pennsylvania | 42129 | 51919 | 983 |
1971684 | 1971684 | 2021-12-01 | Wyoming | Pennsylvania | 42131 | 3231 | 69 |
1971685 | 1971685 | 2021-12-01 | York | Pennsylvania | 42133 | 70896 | 1072 |
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);