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 2020-04-15 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
61108 | 61108 | 2020-04-15 | Adams | Pennsylvania | 42001 | 64 | 1 |
61109 | 61109 | 2020-04-15 | Allegheny | Pennsylvania | 42003 | 904 | 26 |
61110 | 61110 | 2020-04-15 | Armstrong | Pennsylvania | 42005 | 29 | 1 |
61111 | 61111 | 2020-04-15 | Beaver | Pennsylvania | 42007 | 158 | 14 |
61112 | 61112 | 2020-04-15 | Bedford | Pennsylvania | 42009 | 9 | 1 |
61113 | 61113 | 2020-04-15 | Berks | Pennsylvania | 42011 | 1335 | 28 |
61114 | 61114 | 2020-04-15 | Blair | Pennsylvania | 42013 | 12 | 0 |
61115 | 61115 | 2020-04-15 | Bradford | Pennsylvania | 42015 | 19 | 0 |
61116 | 61116 | 2020-04-15 | Bucks | Pennsylvania | 42017 | 1450 | 60 |
61117 | 61117 | 2020-04-15 | Butler | Pennsylvania | 42019 | 150 | 5 |
61118 | 61118 | 2020-04-15 | Cambria | Pennsylvania | 42021 | 14 | 1 |
61119 | 61119 | 2020-04-15 | Cameron | Pennsylvania | 42023 | 1 | 0 |
61120 | 61120 | 2020-04-15 | Carbon | Pennsylvania | 42025 | 112 | 6 |
61121 | 61121 | 2020-04-15 | Centre | Pennsylvania | 42027 | 72 | 0 |
61122 | 61122 | 2020-04-15 | Chester | Pennsylvania | 42029 | 675 | 25 |
61123 | 61123 | 2020-04-15 | Clarion | Pennsylvania | 42031 | 16 | 0 |
61124 | 61124 | 2020-04-15 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
61125 | 61125 | 2020-04-15 | Clinton | Pennsylvania | 42035 | 8 | 0 |
61126 | 61126 | 2020-04-15 | Columbia | Pennsylvania | 42037 | 131 | 3 |
61127 | 61127 | 2020-04-15 | Crawford | Pennsylvania | 42039 | 16 | 0 |
61128 | 61128 | 2020-04-15 | Cumberland | Pennsylvania | 42041 | 131 | 4 |
61129 | 61129 | 2020-04-15 | Dauphin | Pennsylvania | 42043 | 271 | 5 |
61130 | 61130 | 2020-04-15 | Delaware | Pennsylvania | 42045 | 1935 | 60 |
61131 | 61131 | 2020-04-15 | Elk | Pennsylvania | 42047 | 2 | 0 |
61132 | 61132 | 2020-04-15 | Erie | Pennsylvania | 42049 | 42 | 1 |
61133 | 61133 | 2020-04-15 | Fayette | Pennsylvania | 42051 | 58 | 3 |
61134 | 61134 | 2020-04-15 | Forest | Pennsylvania | 42053 | 5 | 0 |
61135 | 61135 | 2020-04-15 | Franklin | Pennsylvania | 42055 | 78 | 0 |
61136 | 61136 | 2020-04-15 | Fulton | Pennsylvania | 42057 | 2 | 0 |
61137 | 61137 | 2020-04-15 | Greene | Pennsylvania | 42059 | 23 | 0 |
61138 | 61138 | 2020-04-15 | Huntingdon | Pennsylvania | 42061 | 12 | 0 |
61139 | 61139 | 2020-04-15 | Indiana | Pennsylvania | 42063 | 43 | 1 |
61140 | 61140 | 2020-04-15 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
61141 | 61141 | 2020-04-15 | Juniata | Pennsylvania | 42067 | 47 | 0 |
61142 | 61142 | 2020-04-15 | Lackawanna | Pennsylvania | 42069 | 527 | 26 |
61143 | 61143 | 2020-04-15 | Lancaster | Pennsylvania | 42071 | 914 | 69 |
61144 | 61144 | 2020-04-15 | Lawrence | Pennsylvania | 42073 | 55 | 5 |
61145 | 61145 | 2020-04-15 | Lebanon | Pennsylvania | 42075 | 349 | 2 |
61146 | 61146 | 2020-04-15 | Lehigh | Pennsylvania | 42077 | 1922 | 25 |
61147 | 61147 | 2020-04-15 | Luzerne | Pennsylvania | 42079 | 1567 | 27 |
61148 | 61148 | 2020-04-15 | Lycoming | Pennsylvania | 42081 | 30 | 0 |
61149 | 61149 | 2020-04-15 | McKean | Pennsylvania | 42083 | 4 | 0 |
61150 | 61150 | 2020-04-15 | Mercer | Pennsylvania | 42085 | 47 | 0 |
61151 | 61151 | 2020-04-15 | Mifflin | Pennsylvania | 42087 | 15 | 0 |
61152 | 61152 | 2020-04-15 | Monroe | Pennsylvania | 42089 | 872 | 28 |
61153 | 61153 | 2020-04-15 | Montgomery | Pennsylvania | 42091 | 2475 | 120 |
61154 | 61154 | 2020-04-15 | Montour | Pennsylvania | 42093 | 44 | 0 |
61155 | 61155 | 2020-04-15 | Northampton | Pennsylvania | 42095 | 1251 | 25 |
61156 | 61156 | 2020-04-15 | Northumberland | Pennsylvania | 42097 | 56 | 0 |
61157 | 61157 | 2020-04-15 | Perry | Pennsylvania | 42099 | 17 | 1 |
61158 | 61158 | 2020-04-15 | Philadelphia | Pennsylvania | 42101 | 7441 | 222 |
61159 | 61159 | 2020-04-15 | Pike | Pennsylvania | 42103 | 268 | 7 |
61160 | 61160 | 2020-04-15 | Potter | Pennsylvania | 42105 | 4 | 0 |
61161 | 61161 | 2020-04-15 | Schuylkill | Pennsylvania | 42107 | 212 | 3 |
61162 | 61162 | 2020-04-15 | Snyder | Pennsylvania | 42109 | 24 | 1 |
61163 | 61163 | 2020-04-15 | Somerset | Pennsylvania | 42111 | 14 | 0 |
61164 | 61164 | 2020-04-15 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
61165 | 61165 | 2020-04-15 | Susquehanna | Pennsylvania | 42115 | 40 | 1 |
61166 | 61166 | 2020-04-15 | Tioga | Pennsylvania | 42117 | 13 | 1 |
61167 | 61167 | 2020-04-15 | Union | Pennsylvania | 42119 | 23 | 0 |
61168 | 61168 | 2020-04-15 | Venango | Pennsylvania | 42121 | 6 | 0 |
61169 | 61169 | 2020-04-15 | Warren | Pennsylvania | 42123 | 1 | 0 |
61170 | 61170 | 2020-04-15 | Washington | Pennsylvania | 42125 | 71 | 1 |
61171 | 61171 | 2020-04-15 | Wayne | Pennsylvania | 42127 | 75 | 2 |
61172 | 61172 | 2020-04-15 | Westmoreland | Pennsylvania | 42129 | 237 | 18 |
61173 | 61173 | 2020-04-15 | Wyoming | Pennsylvania | 42131 | 13 | 0 |
61174 | 61174 | 2020-04-15 | York | Pennsylvania | 42133 | 381 | 4 |
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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);