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 2020-04-30 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
103053 | 103053 | 2020-04-30 | Adams | Pennsylvania | 42001 | 137 | 4 |
103054 | 103054 | 2020-04-30 | Allegheny | Pennsylvania | 42003 | 1289 | 94 |
103055 | 103055 | 2020-04-30 | Armstrong | Pennsylvania | 42005 | 51 | 2 |
103056 | 103056 | 2020-04-30 | Beaver | Pennsylvania | 42007 | 405 | 65 |
103057 | 103057 | 2020-04-30 | Bedford | Pennsylvania | 42009 | 24 | 1 |
103058 | 103058 | 2020-04-30 | Berks | Pennsylvania | 42011 | 2698 | 117 |
103059 | 103059 | 2020-04-30 | Blair | Pennsylvania | 42013 | 23 | 0 |
103060 | 103060 | 2020-04-30 | Bradford | Pennsylvania | 42015 | 31 | 5 |
103061 | 103061 | 2020-04-30 | Bucks | Pennsylvania | 42017 | 3070 | 217 |
103062 | 103062 | 2020-04-30 | Butler | Pennsylvania | 42019 | 178 | 6 |
103063 | 103063 | 2020-04-30 | Cambria | Pennsylvania | 42021 | 28 | 2 |
103064 | 103064 | 2020-04-30 | Cameron | Pennsylvania | 42023 | 1 | 0 |
103065 | 103065 | 2020-04-30 | Carbon | Pennsylvania | 42025 | 175 | 15 |
103066 | 103066 | 2020-04-30 | Centre | Pennsylvania | 42027 | 96 | 2 |
103067 | 103067 | 2020-04-30 | Chester | Pennsylvania | 42029 | 1412 | 111 |
103068 | 103068 | 2020-04-30 | Clarion | Pennsylvania | 42031 | 23 | 1 |
103069 | 103069 | 2020-04-30 | Clearfield | Pennsylvania | 42033 | 16 | 0 |
103070 | 103070 | 2020-04-30 | Clinton | Pennsylvania | 42035 | 31 | 0 |
103071 | 103071 | 2020-04-30 | Columbia | Pennsylvania | 42037 | 283 | 14 |
103072 | 103072 | 2020-04-30 | Crawford | Pennsylvania | 42039 | 19 | 0 |
103073 | 103073 | 2020-04-30 | Cumberland | Pennsylvania | 42041 | 343 | 16 |
103074 | 103074 | 2020-04-30 | Dauphin | Pennsylvania | 42043 | 584 | 25 |
103075 | 103075 | 2020-04-30 | Delaware | Pennsylvania | 42045 | 3747 | 235 |
103076 | 103076 | 2020-04-30 | Elk | Pennsylvania | 42047 | 3 | 0 |
103077 | 103077 | 2020-04-30 | Erie | Pennsylvania | 42049 | 87 | 2 |
103078 | 103078 | 2020-04-30 | Fayette | Pennsylvania | 42051 | 80 | 4 |
103079 | 103079 | 2020-04-30 | Forest | Pennsylvania | 42053 | 7 | 0 |
103080 | 103080 | 2020-04-30 | Franklin | Pennsylvania | 42055 | 284 | 10 |
103081 | 103081 | 2020-04-30 | Fulton | Pennsylvania | 42057 | 5 | 0 |
103082 | 103082 | 2020-04-30 | Greene | Pennsylvania | 42059 | 26 | 0 |
103083 | 103083 | 2020-04-30 | Huntingdon | Pennsylvania | 42061 | 38 | 0 |
103084 | 103084 | 2020-04-30 | Indiana | Pennsylvania | 42063 | 63 | 4 |
103085 | 103085 | 2020-04-30 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
103086 | 103086 | 2020-04-30 | Juniata | Pennsylvania | 42067 | 83 | 1 |
103087 | 103087 | 2020-04-30 | Lackawanna | Pennsylvania | 42069 | 913 | 82 |
103088 | 103088 | 2020-04-30 | Lancaster | Pennsylvania | 42071 | 1765 | 173 |
103089 | 103089 | 2020-04-30 | Lawrence | Pennsylvania | 42073 | 65 | 6 |
103090 | 103090 | 2020-04-30 | Lebanon | Pennsylvania | 42075 | 676 | 9 |
103091 | 103091 | 2020-04-30 | Lehigh | Pennsylvania | 42077 | 2796 | 74 |
103092 | 103092 | 2020-04-30 | Luzerne | Pennsylvania | 42079 | 2143 | 88 |
103093 | 103093 | 2020-04-30 | Lycoming | Pennsylvania | 42081 | 68 | 2 |
103094 | 103094 | 2020-04-30 | McKean | Pennsylvania | 42083 | 6 | 0 |
103095 | 103095 | 2020-04-30 | Mercer | Pennsylvania | 42085 | 66 | 1 |
103096 | 103096 | 2020-04-30 | Mifflin | Pennsylvania | 42087 | 38 | 0 |
103097 | 103097 | 2020-04-30 | Monroe | Pennsylvania | 42089 | 1127 | 54 |
103098 | 103098 | 2020-04-30 | Montgomery | Pennsylvania | 42091 | 4307 | 351 |
103099 | 103099 | 2020-04-30 | Montour | Pennsylvania | 42093 | 48 | 0 |
103100 | 103100 | 2020-04-30 | Northampton | Pennsylvania | 42095 | 2050 | 94 |
103101 | 103101 | 2020-04-30 | Northumberland | Pennsylvania | 42097 | 93 | 0 |
103102 | 103102 | 2020-04-30 | Perry | Pennsylvania | 42099 | 30 | 1 |
103103 | 103103 | 2020-04-30 | Philadelphia | Pennsylvania | 42101 | 14468 | 607 |
103104 | 103104 | 2020-04-30 | Pike | Pennsylvania | 42103 | 378 | 14 |
103105 | 103105 | 2020-04-30 | Potter | Pennsylvania | 42105 | 4 | 0 |
103106 | 103106 | 2020-04-30 | Schuylkill | Pennsylvania | 42107 | 368 | 7 |
103107 | 103107 | 2020-04-30 | Snyder | Pennsylvania | 42109 | 33 | 1 |
103108 | 103108 | 2020-04-30 | Somerset | Pennsylvania | 42111 | 26 | 0 |
103109 | 103109 | 2020-04-30 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
103110 | 103110 | 2020-04-30 | Susquehanna | Pennsylvania | 42115 | 84 | 8 |
103111 | 103111 | 2020-04-30 | Tioga | Pennsylvania | 42117 | 16 | 2 |
103112 | 103112 | 2020-04-30 | Union | Pennsylvania | 42119 | 36 | 0 |
103113 | 103113 | 2020-04-30 | Venango | Pennsylvania | 42121 | 7 | 0 |
103114 | 103114 | 2020-04-30 | Warren | Pennsylvania | 42123 | 1 | 1 |
103115 | 103115 | 2020-04-30 | Washington | Pennsylvania | 42125 | 115 | 2 |
103116 | 103116 | 2020-04-30 | Wayne | Pennsylvania | 42127 | 100 | 5 |
103117 | 103117 | 2020-04-30 | Westmoreland | Pennsylvania | 42129 | 391 | 30 |
103118 | 103118 | 2020-04-30 | Wyoming | Pennsylvania | 42131 | 20 | 2 |
103119 | 103119 | 2020-04-30 | York | Pennsylvania | 42133 | 641 | 13 |
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);