ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2021-11-16" and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1922859 | 1922859 | 2021-11-16 | Adams | Pennsylvania | 42001 | 14127 | 238 |
1922860 | 1922860 | 2021-11-16 | Allegheny | Pennsylvania | 42003 | 141336 | 2431 |
1922861 | 1922861 | 2021-11-16 | Armstrong | Pennsylvania | 42005 | 9699 | 216 |
1922862 | 1922862 | 2021-11-16 | Beaver | Pennsylvania | 42007 | 24187 | 498 |
1922863 | 1922863 | 2021-11-16 | Bedford | Pennsylvania | 42009 | 7345 | 184 |
1922864 | 1922864 | 2021-11-16 | Berks | Pennsylvania | 42011 | 61878 | 1182 |
1922865 | 1922865 | 2021-11-16 | Blair | Pennsylvania | 42013 | 19359 | 411 |
1922866 | 1922866 | 2021-11-16 | Bradford | Pennsylvania | 42015 | 8610 | 128 |
1922867 | 1922867 | 2021-11-16 | Bucks | Pennsylvania | 42017 | 76506 | 1454 |
1922868 | 1922868 | 2021-11-16 | Butler | Pennsylvania | 42019 | 27114 | 528 |
1922869 | 1922869 | 2021-11-16 | Cambria | Pennsylvania | 42021 | 21311 | 541 |
1922870 | 1922870 | 2021-11-16 | Cameron | Pennsylvania | 42023 | 555 | 13 |
1922871 | 1922871 | 2021-11-16 | Carbon | Pennsylvania | 42025 | 9497 | 207 |
1922872 | 1922872 | 2021-11-16 | Centre | Pennsylvania | 42027 | 21804 | 251 |
1922873 | 1922873 | 2021-11-16 | Chester | Pennsylvania | 42029 | 53278 | 895 |
1922874 | 1922874 | 2021-11-16 | Clarion | Pennsylvania | 42031 | 5465 | 132 |
1922875 | 1922875 | 2021-11-16 | Clearfield | Pennsylvania | 42033 | 12090 | 211 |
1922876 | 1922876 | 2021-11-16 | Clinton | Pennsylvania | 42035 | 5612 | 84 |
1922877 | 1922877 | 2021-11-16 | Columbia | Pennsylvania | 42037 | 8624 | 160 |
1922878 | 1922878 | 2021-11-16 | Crawford | Pennsylvania | 42039 | 12128 | 203 |
1922879 | 1922879 | 2021-11-16 | Cumberland | Pennsylvania | 42041 | 29993 | 640 |
1922880 | 1922880 | 2021-11-16 | Dauphin | Pennsylvania | 42043 | 36684 | 673 |
1922881 | 1922881 | 2021-11-16 | Delaware | Pennsylvania | 42045 | 64385 | 1515 |
1922882 | 1922882 | 2021-11-16 | Elk | Pennsylvania | 42047 | 4562 | 64 |
1922883 | 1922883 | 2021-11-16 | Erie | Pennsylvania | 42049 | 32850 | 516 |
1922884 | 1922884 | 2021-11-16 | Fayette | Pennsylvania | 42051 | 19380 | 437 |
1922885 | 1922885 | 2021-11-16 | Forest | Pennsylvania | 42053 | 1663 | 26 |
1922886 | 1922886 | 2021-11-16 | Franklin | Pennsylvania | 42055 | 23049 | 477 |
1922887 | 1922887 | 2021-11-16 | Fulton | Pennsylvania | 42057 | 2484 | 35 |
1922888 | 1922888 | 2021-11-16 | Greene | Pennsylvania | 42059 | 5351 | 59 |
1922889 | 1922889 | 2021-11-16 | Huntingdon | Pennsylvania | 42061 | 7292 | 172 |
1922890 | 1922890 | 2021-11-16 | Indiana | Pennsylvania | 42063 | 9984 | 250 |
1922891 | 1922891 | 2021-11-16 | Jefferson | Pennsylvania | 42065 | 5687 | 133 |
1922892 | 1922892 | 2021-11-16 | Juniata | Pennsylvania | 42067 | 3131 | 120 |
1922893 | 1922893 | 2021-11-16 | Lackawanna | Pennsylvania | 42069 | 24134 | 527 |
1922894 | 1922894 | 2021-11-16 | Lancaster | Pennsylvania | 42071 | 75290 | 1373 |
1922895 | 1922895 | 2021-11-16 | Lawrence | Pennsylvania | 42073 | 11800 | 277 |
1922896 | 1922896 | 2021-11-16 | Lebanon | Pennsylvania | 42075 | 21896 | 347 |
1922897 | 1922897 | 2021-11-16 | Lehigh | Pennsylvania | 42077 | 50486 | 953 |
1922898 | 1922898 | 2021-11-16 | Luzerne | Pennsylvania | 42079 | 43507 | 962 |
1922899 | 1922899 | 2021-11-16 | Lycoming | Pennsylvania | 42081 | 18128 | 374 |
1922900 | 1922900 | 2021-11-16 | McKean | Pennsylvania | 42083 | 5575 | 97 |
1922901 | 1922901 | 2021-11-16 | Mercer | Pennsylvania | 42085 | 14905 | 357 |
1922902 | 1922902 | 2021-11-16 | Mifflin | Pennsylvania | 42087 | 7708 | 215 |
1922903 | 1922903 | 2021-11-16 | Monroe | Pennsylvania | 42089 | 20708 | 374 |
1922904 | 1922904 | 2021-11-16 | Montgomery | Pennsylvania | 42091 | 89346 | 1880 |
1922905 | 1922905 | 2021-11-16 | Montour | Pennsylvania | 42093 | 2708 | 74 |
1922906 | 1922906 | 2021-11-16 | Northampton | Pennsylvania | 42095 | 46580 | 807 |
1922907 | 1922907 | 2021-11-16 | Northumberland | Pennsylvania | 42097 | 13928 | 414 |
1922908 | 1922908 | 2021-11-16 | Perry | Pennsylvania | 42099 | 5630 | 130 |
1922909 | 1922909 | 2021-11-16 | Philadelphia | Pennsylvania | 42101 | 187219 | 4063 |
1922910 | 1922910 | 2021-11-16 | Pike | Pennsylvania | 42103 | 5716 | 65 |
1922911 | 1922911 | 2021-11-16 | Potter | Pennsylvania | 42105 | 2118 | 52 |
1922912 | 1922912 | 2021-11-16 | Schuylkill | Pennsylvania | 42107 | 20853 | 484 |
1922913 | 1922913 | 2021-11-16 | Snyder | Pennsylvania | 42109 | 5094 | 108 |
1922914 | 1922914 | 2021-11-16 | Somerset | Pennsylvania | 42111 | 11469 | 269 |
1922915 | 1922915 | 2021-11-16 | Sullivan | Pennsylvania | 42113 | 623 | 24 |
1922916 | 1922916 | 2021-11-16 | Susquehanna | Pennsylvania | 42115 | 4167 | 71 |
1922917 | 1922917 | 2021-11-16 | Tioga | Pennsylvania | 42117 | 5111 | 139 |
1922918 | 1922918 | 2021-11-16 | Union | Pennsylvania | 42119 | 7861 | 107 |
1922919 | 1922919 | 2021-11-16 | Venango | Pennsylvania | 42121 | 7277 | 152 |
1922920 | 1922920 | 2021-11-16 | Warren | Pennsylvania | 42123 | 4641 | 144 |
1922921 | 1922921 | 2021-11-16 | Washington | Pennsylvania | 42125 | 27923 | 408 |
1922922 | 1922922 | 2021-11-16 | Wayne | Pennsylvania | 42127 | 6128 | 119 |
1922923 | 1922923 | 2021-11-16 | Westmoreland | Pennsylvania | 42129 | 48539 | 941 |
1922924 | 1922924 | 2021-11-16 | Wyoming | Pennsylvania | 42131 | 2982 | 65 |
1922925 | 1922925 | 2021-11-16 | York | Pennsylvania | 42133 | 66993 | 1027 |
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);