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 2020-10-23 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
659864 | 659864 | 2020-10-23 | Adams | Pennsylvania | 42001 | 1062 | 27 |
659865 | 659865 | 2020-10-23 | Allegheny | Pennsylvania | 42003 | 14687 | 421 |
659866 | 659866 | 2020-10-23 | Armstrong | Pennsylvania | 42005 | 622 | 20 |
659867 | 659867 | 2020-10-23 | Beaver | Pennsylvania | 42007 | 2214 | 139 |
659868 | 659868 | 2020-10-23 | Bedford | Pennsylvania | 42009 | 369 | 6 |
659869 | 659869 | 2020-10-23 | Berks | Pennsylvania | 42011 | 8698 | 418 |
659870 | 659870 | 2020-10-23 | Blair | Pennsylvania | 42013 | 1116 | 27 |
659871 | 659871 | 2020-10-23 | Bradford | Pennsylvania | 42015 | 613 | 9 |
659872 | 659872 | 2020-10-23 | Bucks | Pennsylvania | 42017 | 9848 | 624 |
659873 | 659873 | 2020-10-23 | Butler | Pennsylvania | 42019 | 1555 | 27 |
659874 | 659874 | 2020-10-23 | Cambria | Pennsylvania | 42021 | 986 | 7 |
659875 | 659875 | 2020-10-23 | Cameron | Pennsylvania | 42023 | 8 | 0 |
659876 | 659876 | 2020-10-23 | Carbon | Pennsylvania | 42025 | 561 | 29 |
659877 | 659877 | 2020-10-23 | Centre | Pennsylvania | 42027 | 3908 | 16 |
659878 | 659878 | 2020-10-23 | Chester | Pennsylvania | 42029 | 7833 | 378 |
659879 | 659879 | 2020-10-23 | Clarion | Pennsylvania | 42031 | 200 | 3 |
659880 | 659880 | 2020-10-23 | Clearfield | Pennsylvania | 42033 | 427 | 7 |
659881 | 659881 | 2020-10-23 | Clinton | Pennsylvania | 42035 | 249 | 6 |
659882 | 659882 | 2020-10-23 | Columbia | Pennsylvania | 42037 | 1041 | 41 |
659883 | 659883 | 2020-10-23 | Crawford | Pennsylvania | 42039 | 438 | 3 |
659884 | 659884 | 2020-10-23 | Cumberland | Pennsylvania | 42041 | 2391 | 78 |
659885 | 659885 | 2020-10-23 | Dauphin | Pennsylvania | 42043 | 4556 | 192 |
659886 | 659886 | 2020-10-23 | Delaware | Pennsylvania | 42045 | 12976 | 808 |
659887 | 659887 | 2020-10-23 | Elk | Pennsylvania | 42047 | 143 | 2 |
659888 | 659888 | 2020-10-23 | Erie | Pennsylvania | 42049 | 1962 | 48 |
659889 | 659889 | 2020-10-23 | Fayette | Pennsylvania | 42051 | 974 | 14 |
659890 | 659890 | 2020-10-23 | Forest | Pennsylvania | 42053 | 18 | 1 |
659891 | 659891 | 2020-10-23 | Franklin | Pennsylvania | 42055 | 2081 | 54 |
659892 | 659892 | 2020-10-23 | Fulton | Pennsylvania | 42057 | 64 | 3 |
659893 | 659893 | 2020-10-23 | Greene | Pennsylvania | 42059 | 220 | 1 |
659894 | 659894 | 2020-10-23 | Huntingdon | Pennsylvania | 42061 | 835 | 14 |
659895 | 659895 | 2020-10-23 | Indiana | Pennsylvania | 42063 | 1028 | 16 |
659896 | 659896 | 2020-10-23 | Jefferson | Pennsylvania | 42065 | 158 | 4 |
659897 | 659897 | 2020-10-23 | Juniata | Pennsylvania | 42067 | 223 | 8 |
659898 | 659898 | 2020-10-23 | Lackawanna | Pennsylvania | 42069 | 3536 | 218 |
659899 | 659899 | 2020-10-23 | Lancaster | Pennsylvania | 42071 | 9205 | 472 |
659900 | 659900 | 2020-10-23 | Lawrence | Pennsylvania | 42073 | 800 | 31 |
659901 | 659901 | 2020-10-23 | Lebanon | Pennsylvania | 42075 | 2760 | 66 |
659902 | 659902 | 2020-10-23 | Lehigh | Pennsylvania | 42077 | 6318 | 364 |
659903 | 659903 | 2020-10-23 | Luzerne | Pennsylvania | 42079 | 5011 | 193 |
659904 | 659904 | 2020-10-23 | Lycoming | Pennsylvania | 42081 | 914 | 31 |
659905 | 659905 | 2020-10-23 | McKean | Pennsylvania | 42083 | 112 | 2 |
659906 | 659906 | 2020-10-23 | Mercer | Pennsylvania | 42085 | 969 | 25 |
659907 | 659907 | 2020-10-23 | Mifflin | Pennsylvania | 42087 | 349 | 3 |
659908 | 659908 | 2020-10-23 | Monroe | Pennsylvania | 42089 | 1968 | 135 |
659909 | 659909 | 2020-10-23 | Montgomery | Pennsylvania | 42091 | 13428 | 893 |
659910 | 659910 | 2020-10-23 | Montour | Pennsylvania | 42093 | 291 | 9 |
659911 | 659911 | 2020-10-23 | Northampton | Pennsylvania | 42095 | 5184 | 311 |
659912 | 659912 | 2020-10-23 | Northumberland | Pennsylvania | 42097 | 1420 | 107 |
659913 | 659913 | 2020-10-23 | Perry | Pennsylvania | 42099 | 347 | 6 |
659914 | 659914 | 2020-10-23 | Philadelphia | Pennsylvania | 42101 | 41972 | 1873 |
659915 | 659915 | 2020-10-23 | Pike | Pennsylvania | 42103 | 614 | 23 |
659916 | 659916 | 2020-10-23 | Potter | Pennsylvania | 42105 | 43 | 1 |
659917 | 659917 | 2020-10-23 | Schuylkill | Pennsylvania | 42107 | 1769 | 84 |
659918 | 659918 | 2020-10-23 | Snyder | Pennsylvania | 42109 | 465 | 17 |
659919 | 659919 | 2020-10-23 | Somerset | Pennsylvania | 42111 | 355 | 3 |
659920 | 659920 | 2020-10-23 | Sullivan | Pennsylvania | 42113 | 17 | 1 |
659921 | 659921 | 2020-10-23 | Susquehanna | Pennsylvania | 42115 | 390 | 28 |
659922 | 659922 | 2020-10-23 | Tioga | Pennsylvania | 42117 | 173 | 3 |
659923 | 659923 | 2020-10-23 | Union | Pennsylvania | 42119 | 672 | 10 |
659924 | 659924 | 2020-10-23 | Venango | Pennsylvania | 42121 | 203 | 1 |
659925 | 659925 | 2020-10-23 | Warren | Pennsylvania | 42123 | 62 | 1 |
659926 | 659926 | 2020-10-23 | Washington | Pennsylvania | 42125 | 1818 | 34 |
659927 | 659927 | 2020-10-23 | Wayne | Pennsylvania | 42127 | 283 | 12 |
659928 | 659928 | 2020-10-23 | Westmoreland | Pennsylvania | 42129 | 3900 | 80 |
659929 | 659929 | 2020-10-23 | Wyoming | Pennsylvania | 42131 | 110 | 8 |
659930 | 659930 | 2020-10-23 | York | Pennsylvania | 42133 | 6137 | 199 |
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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);