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 2020-04-19 and state = "Pennsylvania" sorted by date descending
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Suggested facets: deaths
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
72105 | 72105 | 2020-04-19 | Adams | Pennsylvania | 42001 | 80 | 1 |
72106 | 72106 | 2020-04-19 | Allegheny | Pennsylvania | 42003 | 1035 | 50 |
72107 | 72107 | 2020-04-19 | Armstrong | Pennsylvania | 42005 | 38 | 2 |
72108 | 72108 | 2020-04-19 | Beaver | Pennsylvania | 42007 | 288 | 32 |
72109 | 72109 | 2020-04-19 | Bedford | Pennsylvania | 42009 | 15 | 1 |
72110 | 72110 | 2020-04-19 | Berks | Pennsylvania | 42011 | 1898 | 65 |
72111 | 72111 | 2020-04-19 | Blair | Pennsylvania | 42013 | 14 | 0 |
72112 | 72112 | 2020-04-19 | Bradford | Pennsylvania | 42015 | 25 | 1 |
72113 | 72113 | 2020-04-19 | Bucks | Pennsylvania | 42017 | 1886 | 88 |
72114 | 72114 | 2020-04-19 | Butler | Pennsylvania | 42019 | 161 | 5 |
72115 | 72115 | 2020-04-19 | Cambria | Pennsylvania | 42021 | 19 | 1 |
72116 | 72116 | 2020-04-19 | Cameron | Pennsylvania | 42023 | 1 | 0 |
72117 | 72117 | 2020-04-19 | Carbon | Pennsylvania | 42025 | 140 | 8 |
72118 | 72118 | 2020-04-19 | Centre | Pennsylvania | 42027 | 73 | 1 |
72119 | 72119 | 2020-04-19 | Chester | Pennsylvania | 42029 | 877 | 42 |
72120 | 72120 | 2020-04-19 | Clarion | Pennsylvania | 42031 | 18 | 1 |
72121 | 72121 | 2020-04-19 | Clearfield | Pennsylvania | 42033 | 11 | 0 |
72122 | 72122 | 2020-04-19 | Clinton | Pennsylvania | 42035 | 11 | 0 |
72123 | 72123 | 2020-04-19 | Columbia | Pennsylvania | 42037 | 202 | 6 |
72124 | 72124 | 2020-04-19 | Crawford | Pennsylvania | 42039 | 16 | 0 |
72125 | 72125 | 2020-04-19 | Cumberland | Pennsylvania | 42041 | 182 | 4 |
72126 | 72126 | 2020-04-19 | Dauphin | Pennsylvania | 42043 | 368 | 9 |
72127 | 72127 | 2020-04-19 | Delaware | Pennsylvania | 42045 | 2460 | 91 |
72128 | 72128 | 2020-04-19 | Elk | Pennsylvania | 42047 | 2 | 0 |
72129 | 72129 | 2020-04-19 | Erie | Pennsylvania | 42049 | 58 | 1 |
72130 | 72130 | 2020-04-19 | Fayette | Pennsylvania | 42051 | 66 | 3 |
72131 | 72131 | 2020-04-19 | Forest | Pennsylvania | 42053 | 7 | 0 |
72132 | 72132 | 2020-04-19 | Franklin | Pennsylvania | 42055 | 111 | 0 |
72133 | 72133 | 2020-04-19 | Fulton | Pennsylvania | 42057 | 2 | 0 |
72134 | 72134 | 2020-04-19 | Greene | Pennsylvania | 42059 | 24 | 0 |
72135 | 72135 | 2020-04-19 | Huntingdon | Pennsylvania | 42061 | 13 | 0 |
72136 | 72136 | 2020-04-19 | Indiana | Pennsylvania | 42063 | 51 | 4 |
72137 | 72137 | 2020-04-19 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
72138 | 72138 | 2020-04-19 | Juniata | Pennsylvania | 42067 | 70 | 0 |
72139 | 72139 | 2020-04-19 | Lackawanna | Pennsylvania | 42069 | 636 | 41 |
72140 | 72140 | 2020-04-19 | Lancaster | Pennsylvania | 42071 | 1188 | 98 |
72141 | 72141 | 2020-04-19 | Lawrence | Pennsylvania | 42073 | 59 | 5 |
72142 | 72142 | 2020-04-19 | Lebanon | Pennsylvania | 42075 | 484 | 4 |
72143 | 72143 | 2020-04-19 | Lehigh | Pennsylvania | 42077 | 2203 | 32 |
72144 | 72144 | 2020-04-19 | Luzerne | Pennsylvania | 42079 | 1741 | 34 |
72145 | 72145 | 2020-04-19 | Lycoming | Pennsylvania | 42081 | 37 | 0 |
72146 | 72146 | 2020-04-19 | McKean | Pennsylvania | 42083 | 4 | 0 |
72147 | 72147 | 2020-04-19 | Mercer | Pennsylvania | 42085 | 59 | 1 |
72148 | 72148 | 2020-04-19 | Mifflin | Pennsylvania | 42087 | 20 | 0 |
72149 | 72149 | 2020-04-19 | Monroe | Pennsylvania | 42089 | 963 | 38 |
72150 | 72150 | 2020-04-19 | Montgomery | Pennsylvania | 42091 | 2913 | 164 |
72151 | 72151 | 2020-04-19 | Montour | Pennsylvania | 42093 | 48 | 0 |
72152 | 72152 | 2020-04-19 | Northampton | Pennsylvania | 42095 | 1441 | 36 |
72153 | 72153 | 2020-04-19 | Northumberland | Pennsylvania | 42097 | 67 | 0 |
72154 | 72154 | 2020-04-19 | Perry | Pennsylvania | 42099 | 20 | 1 |
72155 | 72155 | 2020-04-19 | Philadelphia | Pennsylvania | 42101 | 9214 | 365 |
72156 | 72156 | 2020-04-19 | Pike | Pennsylvania | 42103 | 301 | 8 |
72157 | 72157 | 2020-04-19 | Potter | Pennsylvania | 42105 | 4 | 0 |
72158 | 72158 | 2020-04-19 | Schuylkill | Pennsylvania | 42107 | 261 | 5 |
72159 | 72159 | 2020-04-19 | Snyder | Pennsylvania | 42109 | 27 | 1 |
72160 | 72160 | 2020-04-19 | Somerset | Pennsylvania | 42111 | 18 | 0 |
72161 | 72161 | 2020-04-19 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
72162 | 72162 | 2020-04-19 | Susquehanna | Pennsylvania | 42115 | 63 | 3 |
72163 | 72163 | 2020-04-19 | Tioga | Pennsylvania | 42117 | 14 | 1 |
72164 | 72164 | 2020-04-19 | Union | Pennsylvania | 42119 | 27 | 0 |
72165 | 72165 | 2020-04-19 | Venango | Pennsylvania | 42121 | 6 | 0 |
72166 | 72166 | 2020-04-19 | Warren | Pennsylvania | 42123 | 1 | 0 |
72167 | 72167 | 2020-04-19 | Washington | Pennsylvania | 42125 | 82 | 2 |
72168 | 72168 | 2020-04-19 | Wayne | Pennsylvania | 42127 | 84 | 3 |
72169 | 72169 | 2020-04-19 | Westmoreland | Pennsylvania | 42129 | 284 | 20 |
72170 | 72170 | 2020-04-19 | Wyoming | Pennsylvania | 42131 | 17 | 1 |
72171 | 72171 | 2020-04-19 | York | Pennsylvania | 42133 | 481 | 6 |
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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);