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 2020-04-09 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
45058 | 45058 | 2020-04-09 | Adams | Pennsylvania | 42001 | 38 | 1 |
45059 | 45059 | 2020-04-09 | Allegheny | Pennsylvania | 42003 | 759 | 12 |
45060 | 45060 | 2020-04-09 | Armstrong | Pennsylvania | 42005 | 20 | 0 |
45061 | 45061 | 2020-04-09 | Beaver | Pennsylvania | 42007 | 129 | 13 |
45062 | 45062 | 2020-04-09 | Bedford | Pennsylvania | 42009 | 4 | 0 |
45063 | 45063 | 2020-04-09 | Berks | Pennsylvania | 42011 | 616 | 8 |
45064 | 45064 | 2020-04-09 | Blair | Pennsylvania | 42013 | 6 | 0 |
45065 | 45065 | 2020-04-09 | Bradford | Pennsylvania | 42015 | 15 | 0 |
45066 | 45066 | 2020-04-09 | Bucks | Pennsylvania | 42017 | 1022 | 28 |
45067 | 45067 | 2020-04-09 | Butler | Pennsylvania | 42019 | 113 | 2 |
45068 | 45068 | 2020-04-09 | Cambria | Pennsylvania | 42021 | 10 | 1 |
45069 | 45069 | 2020-04-09 | Cameron | Pennsylvania | 42023 | 1 | 0 |
45070 | 45070 | 2020-04-09 | Carbon | Pennsylvania | 42025 | 83 | 2 |
45071 | 45071 | 2020-04-09 | Centre | Pennsylvania | 42027 | 59 | 0 |
45072 | 45072 | 2020-04-09 | Chester | Pennsylvania | 42029 | 425 | 7 |
45073 | 45073 | 2020-04-09 | Clarion | Pennsylvania | 42031 | 8 | 0 |
45074 | 45074 | 2020-04-09 | Clearfield | Pennsylvania | 42033 | 7 | 0 |
45075 | 45075 | 2020-04-09 | Clinton | Pennsylvania | 42035 | 4 | 0 |
45076 | 45076 | 2020-04-09 | Columbia | Pennsylvania | 42037 | 65 | 2 |
45077 | 45077 | 2020-04-09 | Crawford | Pennsylvania | 42039 | 13 | 0 |
45078 | 45078 | 2020-04-09 | Cumberland | Pennsylvania | 42041 | 88 | 2 |
45079 | 45079 | 2020-04-09 | Dauphin | Pennsylvania | 42043 | 180 | 2 |
45080 | 45080 | 2020-04-09 | Delaware | Pennsylvania | 42045 | 1222 | 26 |
45081 | 45081 | 2020-04-09 | Elk | Pennsylvania | 42047 | 2 | 0 |
45082 | 45082 | 2020-04-09 | Erie | Pennsylvania | 42049 | 32 | 1 |
45083 | 45083 | 2020-04-09 | Fayette | Pennsylvania | 42051 | 45 | 1 |
45084 | 45084 | 2020-04-09 | Forest | Pennsylvania | 42053 | 5 | 0 |
45085 | 45085 | 2020-04-09 | Franklin | Pennsylvania | 42055 | 52 | 0 |
45086 | 45086 | 2020-04-09 | Fulton | Pennsylvania | 42057 | 1 | 0 |
45087 | 45087 | 2020-04-09 | Greene | Pennsylvania | 42059 | 21 | 0 |
45088 | 45088 | 2020-04-09 | Huntingdon | Pennsylvania | 42061 | 8 | 0 |
45089 | 45089 | 2020-04-09 | Indiana | Pennsylvania | 42063 | 21 | 0 |
45090 | 45090 | 2020-04-09 | Jefferson | Pennsylvania | 42065 | 1 | 0 |
45091 | 45091 | 2020-04-09 | Juniata | Pennsylvania | 42067 | 23 | 0 |
45092 | 45092 | 2020-04-09 | Lackawanna | Pennsylvania | 42069 | 312 | 16 |
45093 | 45093 | 2020-04-09 | Lancaster | Pennsylvania | 42071 | 596 | 17 |
45094 | 45094 | 2020-04-09 | Lawrence | Pennsylvania | 42073 | 37 | 2 |
45095 | 45095 | 2020-04-09 | Lebanon | Pennsylvania | 42075 | 187 | 0 |
45096 | 45096 | 2020-04-09 | Lehigh | Pennsylvania | 42077 | 1466 | 13 |
45097 | 45097 | 2020-04-09 | Luzerne | Pennsylvania | 42079 | 1241 | 12 |
45098 | 45098 | 2020-04-09 | Lycoming | Pennsylvania | 42081 | 17 | 0 |
45099 | 45099 | 2020-04-09 | McKean | Pennsylvania | 42083 | 1 | 0 |
45100 | 45100 | 2020-04-09 | Mercer | Pennsylvania | 42085 | 30 | 0 |
45101 | 45101 | 2020-04-09 | Mifflin | Pennsylvania | 42087 | 10 | 0 |
45102 | 45102 | 2020-04-09 | Monroe | Pennsylvania | 42089 | 716 | 19 |
45103 | 45103 | 2020-04-09 | Montgomery | Pennsylvania | 42091 | 1693 | 37 |
45104 | 45104 | 2020-04-09 | Montour | Pennsylvania | 42093 | 25 | 0 |
45105 | 45105 | 2020-04-09 | Northampton | Pennsylvania | 42095 | 949 | 20 |
45106 | 45106 | 2020-04-09 | Northumberland | Pennsylvania | 42097 | 24 | 0 |
45107 | 45107 | 2020-04-09 | Perry | Pennsylvania | 42099 | 15 | 1 |
45108 | 45108 | 2020-04-09 | Philadelphia | Pennsylvania | 42101 | 5029 | 86 |
45109 | 45109 | 2020-04-09 | Pike | Pennsylvania | 42103 | 163 | 6 |
45110 | 45110 | 2020-04-09 | Potter | Pennsylvania | 42105 | 3 | 0 |
45111 | 45111 | 2020-04-09 | Schuylkill | Pennsylvania | 42107 | 149 | 1 |
45112 | 45112 | 2020-04-09 | Snyder | Pennsylvania | 42109 | 9 | 1 |
45113 | 45113 | 2020-04-09 | Somerset | Pennsylvania | 42111 | 7 | 0 |
45114 | 45114 | 2020-04-09 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
45115 | 45115 | 2020-04-09 | Susquehanna | Pennsylvania | 42115 | 16 | 1 |
45116 | 45116 | 2020-04-09 | Tioga | Pennsylvania | 42117 | 10 | 0 |
45117 | 45117 | 2020-04-09 | Union | Pennsylvania | 42119 | 11 | 0 |
45118 | 45118 | 2020-04-09 | Venango | Pennsylvania | 42121 | 5 | 0 |
45119 | 45119 | 2020-04-09 | Warren | Pennsylvania | 42123 | 1 | 0 |
45120 | 45120 | 2020-04-09 | Washington | Pennsylvania | 42125 | 63 | 0 |
45121 | 45121 | 2020-04-09 | Wayne | Pennsylvania | 42127 | 49 | 0 |
45122 | 45122 | 2020-04-09 | Westmoreland | Pennsylvania | 42129 | 190 | 1 |
45123 | 45123 | 2020-04-09 | Wyoming | Pennsylvania | 42131 | 6 | 0 |
45124 | 45124 | 2020-04-09 | York | Pennsylvania | 42133 | 250 | 3 |
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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);