ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2020-04-24" and state = "Pennsylvania" sorted by date descending
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Suggested facets: deaths, date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
86055 | 86055 | 2020-04-24 | Adams | Pennsylvania | 42001 | 110 | 2 |
86056 | 86056 | 2020-04-24 | Allegheny | Pennsylvania | 42003 | 1177 | 71 |
86057 | 86057 | 2020-04-24 | Armstrong | Pennsylvania | 42005 | 43 | 2 |
86058 | 86058 | 2020-04-24 | Beaver | Pennsylvania | 42007 | 337 | 46 |
86059 | 86059 | 2020-04-24 | Bedford | Pennsylvania | 42009 | 21 | 1 |
86060 | 86060 | 2020-04-24 | Berks | Pennsylvania | 42011 | 2339 | 87 |
86061 | 86061 | 2020-04-24 | Blair | Pennsylvania | 42013 | 19 | 0 |
86062 | 86062 | 2020-04-24 | Bradford | Pennsylvania | 42015 | 28 | 5 |
86063 | 86063 | 2020-04-24 | Bucks | Pennsylvania | 42017 | 2469 | 135 |
86064 | 86064 | 2020-04-24 | Butler | Pennsylvania | 42019 | 168 | 6 |
86065 | 86065 | 2020-04-24 | Cambria | Pennsylvania | 42021 | 20 | 2 |
86066 | 86066 | 2020-04-24 | Cameron | Pennsylvania | 42023 | 1 | 0 |
86067 | 86067 | 2020-04-24 | Carbon | Pennsylvania | 42025 | 160 | 12 |
86068 | 86068 | 2020-04-24 | Centre | Pennsylvania | 42027 | 77 | 2 |
86069 | 86069 | 2020-04-24 | Chester | Pennsylvania | 42029 | 1102 | 77 |
86070 | 86070 | 2020-04-24 | Clarion | Pennsylvania | 42031 | 22 | 1 |
86071 | 86071 | 2020-04-24 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
86072 | 86072 | 2020-04-24 | Clinton | Pennsylvania | 42035 | 17 | 0 |
86073 | 86073 | 2020-04-24 | Columbia | Pennsylvania | 42037 | 252 | 8 |
86074 | 86074 | 2020-04-24 | Crawford | Pennsylvania | 42039 | 19 | 0 |
86075 | 86075 | 2020-04-24 | Cumberland | Pennsylvania | 42041 | 240 | 8 |
86076 | 86076 | 2020-04-24 | Dauphin | Pennsylvania | 42043 | 468 | 19 |
86077 | 86077 | 2020-04-24 | Delaware | Pennsylvania | 42045 | 3106 | 131 |
86078 | 86078 | 2020-04-24 | Elk | Pennsylvania | 42047 | 2 | 0 |
86079 | 86079 | 2020-04-24 | Erie | Pennsylvania | 42049 | 72 | 1 |
86080 | 86080 | 2020-04-24 | Fayette | Pennsylvania | 42051 | 75 | 4 |
86081 | 86081 | 2020-04-24 | Forest | Pennsylvania | 42053 | 7 | 0 |
86082 | 86082 | 2020-04-24 | Franklin | Pennsylvania | 42055 | 164 | 10 |
86083 | 86083 | 2020-04-24 | Fulton | Pennsylvania | 42057 | 2 | 0 |
86084 | 86084 | 2020-04-24 | Greene | Pennsylvania | 42059 | 25 | 0 |
86085 | 86085 | 2020-04-24 | Huntingdon | Pennsylvania | 42061 | 20 | 0 |
86086 | 86086 | 2020-04-24 | Indiana | Pennsylvania | 42063 | 62 | 4 |
86087 | 86087 | 2020-04-24 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
86088 | 86088 | 2020-04-24 | Juniata | Pennsylvania | 42067 | 77 | 0 |
86089 | 86089 | 2020-04-24 | Lackawanna | Pennsylvania | 42069 | 735 | 61 |
86090 | 86090 | 2020-04-24 | Lancaster | Pennsylvania | 42071 | 1451 | 139 |
86091 | 86091 | 2020-04-24 | Lawrence | Pennsylvania | 42073 | 61 | 6 |
86092 | 86092 | 2020-04-24 | Lebanon | Pennsylvania | 42075 | 575 | 8 |
86093 | 86093 | 2020-04-24 | Lehigh | Pennsylvania | 42077 | 2478 | 49 |
86094 | 86094 | 2020-04-24 | Luzerne | Pennsylvania | 42079 | 1921 | 62 |
86095 | 86095 | 2020-04-24 | Lycoming | Pennsylvania | 42081 | 48 | 2 |
86096 | 86096 | 2020-04-24 | McKean | Pennsylvania | 42083 | 5 | 0 |
86097 | 86097 | 2020-04-24 | Mercer | Pennsylvania | 42085 | 64 | 1 |
86098 | 86098 | 2020-04-24 | Mifflin | Pennsylvania | 42087 | 26 | 0 |
86099 | 86099 | 2020-04-24 | Monroe | Pennsylvania | 42089 | 1037 | 46 |
86100 | 86100 | 2020-04-24 | Montgomery | Pennsylvania | 42091 | 3525 | 208 |
86101 | 86101 | 2020-04-24 | Montour | Pennsylvania | 42093 | 48 | 0 |
86102 | 86102 | 2020-04-24 | Northampton | Pennsylvania | 42095 | 1716 | 46 |
86103 | 86103 | 2020-04-24 | Northumberland | Pennsylvania | 42097 | 84 | 0 |
86104 | 86104 | 2020-04-24 | Perry | Pennsylvania | 42099 | 25 | 1 |
86105 | 86105 | 2020-04-24 | Philadelphia | Pennsylvania | 42101 | 11877 | 449 |
86106 | 86106 | 2020-04-24 | Pike | Pennsylvania | 42103 | 338 | 12 |
86107 | 86107 | 2020-04-24 | Potter | Pennsylvania | 42105 | 4 | 0 |
86108 | 86108 | 2020-04-24 | Schuylkill | Pennsylvania | 42107 | 300 | 7 |
86109 | 86109 | 2020-04-24 | Snyder | Pennsylvania | 42109 | 31 | 1 |
86110 | 86110 | 2020-04-24 | Somerset | Pennsylvania | 42111 | 22 | 0 |
86111 | 86111 | 2020-04-24 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
86112 | 86112 | 2020-04-24 | Susquehanna | Pennsylvania | 42115 | 76 | 4 |
86113 | 86113 | 2020-04-24 | Tioga | Pennsylvania | 42117 | 14 | 2 |
86114 | 86114 | 2020-04-24 | Union | Pennsylvania | 42119 | 31 | 0 |
86115 | 86115 | 2020-04-24 | Venango | Pennsylvania | 42121 | 7 | 0 |
86116 | 86116 | 2020-04-24 | Warren | Pennsylvania | 42123 | 1 | 1 |
86117 | 86117 | 2020-04-24 | Washington | Pennsylvania | 42125 | 96 | 2 |
86118 | 86118 | 2020-04-24 | Wayne | Pennsylvania | 42127 | 88 | 3 |
86119 | 86119 | 2020-04-24 | Westmoreland | Pennsylvania | 42129 | 317 | 27 |
86120 | 86120 | 2020-04-24 | Wyoming | Pennsylvania | 42131 | 17 | 2 |
86121 | 86121 | 2020-04-24 | York | Pennsylvania | 42133 | 563 | 13 |
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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);