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 2021-06-20 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1438869 | 1438869 | 2021-06-20 | Adams | Pennsylvania | 42001 | 9651 | 187 |
1438870 | 1438870 | 2021-06-20 | Allegheny | Pennsylvania | 42003 | 101776 | 2008 |
1438871 | 1438871 | 2021-06-20 | Armstrong | Pennsylvania | 42005 | 6012 | 148 |
1438872 | 1438872 | 2021-06-20 | Beaver | Pennsylvania | 42007 | 15530 | 387 |
1438873 | 1438873 | 2021-06-20 | Bedford | Pennsylvania | 42009 | 4708 | 141 |
1438874 | 1438874 | 2021-06-20 | Berks | Pennsylvania | 42011 | 48394 | 1039 |
1438875 | 1438875 | 2021-06-20 | Blair | Pennsylvania | 42013 | 13517 | 341 |
1438876 | 1438876 | 2021-06-20 | Bradford | Pennsylvania | 42015 | 6122 | 94 |
1438877 | 1438877 | 2021-06-20 | Bucks | Pennsylvania | 42017 | 60773 | 1322 |
1438878 | 1438878 | 2021-06-20 | Butler | Pennsylvania | 42019 | 17599 | 418 |
1438879 | 1438879 | 2021-06-20 | Cambria | Pennsylvania | 42021 | 14808 | 438 |
1438880 | 1438880 | 2021-06-20 | Cameron | Pennsylvania | 42023 | 308 | 7 |
1438881 | 1438881 | 2021-06-20 | Carbon | Pennsylvania | 42025 | 6391 | 175 |
1438882 | 1438882 | 2021-06-20 | Centre | Pennsylvania | 42027 | 16908 | 225 |
1438883 | 1438883 | 2021-06-20 | Chester | Pennsylvania | 42029 | 40765 | 822 |
1438884 | 1438884 | 2021-06-20 | Clarion | Pennsylvania | 42031 | 3205 | 96 |
1438885 | 1438885 | 2021-06-20 | Clearfield | Pennsylvania | 42033 | 8640 | 152 |
1438886 | 1438886 | 2021-06-20 | Clinton | Pennsylvania | 42035 | 3710 | 66 |
1438887 | 1438887 | 2021-06-20 | Columbia | Pennsylvania | 42037 | 5891 | 135 |
1438888 | 1438888 | 2021-06-20 | Crawford | Pennsylvania | 42039 | 7539 | 154 |
1438889 | 1438889 | 2021-06-20 | Cumberland | Pennsylvania | 42041 | 20605 | 525 |
1438890 | 1438890 | 2021-06-20 | Dauphin | Pennsylvania | 42043 | 26100 | 557 |
1438891 | 1438891 | 2021-06-20 | Delaware | Pennsylvania | 42045 | 52366 | 1455 |
1438892 | 1438892 | 2021-06-20 | Elk | Pennsylvania | 42047 | 2868 | 41 |
1438893 | 1438893 | 2021-06-20 | Erie | Pennsylvania | 42049 | 21193 | 417 |
1438894 | 1438894 | 2021-06-20 | Fayette | Pennsylvania | 42051 | 13390 | 328 |
1438895 | 1438895 | 2021-06-20 | Forest | Pennsylvania | 42053 | 1433 | 21 |
1438896 | 1438896 | 2021-06-20 | Franklin | Pennsylvania | 42055 | 15447 | 372 |
1438897 | 1438897 | 2021-06-20 | Fulton | Pennsylvania | 42057 | 1366 | 15 |
1438898 | 1438898 | 2021-06-20 | Greene | Pennsylvania | 42059 | 3346 | 40 |
1438899 | 1438899 | 2021-06-20 | Huntingdon | Pennsylvania | 42061 | 5149 | 135 |
1438900 | 1438900 | 2021-06-20 | Indiana | Pennsylvania | 42063 | 6412 | 178 |
1438901 | 1438901 | 2021-06-20 | Jefferson | Pennsylvania | 42065 | 3343 | 99 |
1438902 | 1438902 | 2021-06-20 | Juniata | Pennsylvania | 42067 | 2139 | 87 |
1438903 | 1438903 | 2021-06-20 | Lackawanna | Pennsylvania | 42069 | 18533 | 480 |
1438904 | 1438904 | 2021-06-20 | Lancaster | Pennsylvania | 42071 | 55362 | 1160 |
1438905 | 1438905 | 2021-06-20 | Lawrence | Pennsylvania | 42073 | 7663 | 214 |
1438906 | 1438906 | 2021-06-20 | Lebanon | Pennsylvania | 42075 | 16182 | 294 |
1438907 | 1438907 | 2021-06-20 | Lehigh | Pennsylvania | 42077 | 39817 | 861 |
1438908 | 1438908 | 2021-06-20 | Luzerne | Pennsylvania | 42079 | 32049 | 823 |
1438909 | 1438909 | 2021-06-20 | Lycoming | Pennsylvania | 42081 | 11947 | 292 |
1438910 | 1438910 | 2021-06-20 | McKean | Pennsylvania | 42083 | 3807 | 72 |
1438911 | 1438911 | 2021-06-20 | Mercer | Pennsylvania | 42085 | 9712 | 261 |
1438912 | 1438912 | 2021-06-20 | Mifflin | Pennsylvania | 42087 | 5429 | 180 |
1438913 | 1438913 | 2021-06-20 | Monroe | Pennsylvania | 42089 | 14802 | 321 |
1438914 | 1438914 | 2021-06-20 | Montgomery | Pennsylvania | 42091 | 70360 | 1734 |
1438915 | 1438915 | 2021-06-20 | Montour | Pennsylvania | 42093 | 2019 | 67 |
1438916 | 1438916 | 2021-06-20 | Northampton | Pennsylvania | 42095 | 35841 | 716 |
1438917 | 1438917 | 2021-06-20 | Northumberland | Pennsylvania | 42097 | 9705 | 357 |
1438918 | 1438918 | 2021-06-20 | Perry | Pennsylvania | 42099 | 3847 | 101 |
1438919 | 1438919 | 2021-06-20 | Philadelphia | Pennsylvania | 42101 | 154185 | 3748 |
1438920 | 1438920 | 2021-06-20 | Pike | Pennsylvania | 42103 | 4027 | 54 |
1438921 | 1438921 | 2021-06-20 | Potter | Pennsylvania | 42105 | 1212 | 25 |
1438922 | 1438922 | 2021-06-20 | Schuylkill | Pennsylvania | 42107 | 14785 | 412 |
1438923 | 1438923 | 2021-06-20 | Snyder | Pennsylvania | 42109 | 3676 | 85 |
1438924 | 1438924 | 2021-06-20 | Somerset | Pennsylvania | 42111 | 8062 | 218 |
1438925 | 1438925 | 2021-06-20 | Sullivan | Pennsylvania | 42113 | 440 | 20 |
1438926 | 1438926 | 2021-06-20 | Susquehanna | Pennsylvania | 42115 | 2659 | 62 |
1438927 | 1438927 | 2021-06-20 | Tioga | Pennsylvania | 42117 | 3121 | 110 |
1438928 | 1438928 | 2021-06-20 | Union | Pennsylvania | 42119 | 6153 | 89 |
1438929 | 1438929 | 2021-06-20 | Venango | Pennsylvania | 42121 | 4092 | 100 |
1438930 | 1438930 | 2021-06-20 | Warren | Pennsylvania | 42123 | 2643 | 103 |
1438931 | 1438931 | 2021-06-20 | Washington | Pennsylvania | 42125 | 17905 | 304 |
1438932 | 1438932 | 2021-06-20 | Wayne | Pennsylvania | 42127 | 4142 | 84 |
1438933 | 1438933 | 2021-06-20 | Westmoreland | Pennsylvania | 42129 | 34379 | 771 |
1438934 | 1438934 | 2021-06-20 | Wyoming | Pennsylvania | 42131 | 1995 | 54 |
1438935 | 1438935 | 2021-06-20 | York | Pennsylvania | 42133 | 46946 | 824 |
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);