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 2022-04-01 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2365098 | 2365098 | 2022-04-01 | Adams | Pennsylvania | 42001 | 24693 | 358 |
2365099 | 2365099 | 2022-04-01 | Allegheny | Pennsylvania | 42003 | 263209 | 3288 |
2365100 | 2365100 | 2022-04-01 | Armstrong | Pennsylvania | 42005 | 15233 | 340 |
2365101 | 2365101 | 2022-04-01 | Beaver | Pennsylvania | 42007 | 40081 | 732 |
2365102 | 2365102 | 2022-04-01 | Bedford | Pennsylvania | 42009 | 10964 | 275 |
2365103 | 2365103 | 2022-04-01 | Berks | Pennsylvania | 42011 | 102132 | 1590 |
2365104 | 2365104 | 2022-04-01 | Blair | Pennsylvania | 42013 | 29607 | 607 |
2365105 | 2365105 | 2022-04-01 | Bradford | Pennsylvania | 42015 | 15081 | 200 |
2365106 | 2365106 | 2022-04-01 | Bucks | Pennsylvania | 42017 | 122932 | 1875 |
2365107 | 2365107 | 2022-04-01 | Butler | Pennsylvania | 42019 | 44379 | 727 |
2365108 | 2365108 | 2022-04-01 | Cambria | Pennsylvania | 42021 | 34534 | 722 |
2365109 | 2365109 | 2022-04-01 | Cameron | Pennsylvania | 42023 | 814 | 20 |
2365110 | 2365110 | 2022-04-01 | Carbon | Pennsylvania | 42025 | 15851 | 290 |
2365111 | 2365111 | 2022-04-01 | Centre | Pennsylvania | 42027 | 35093 | 346 |
2365112 | 2365112 | 2022-04-01 | Chester | Pennsylvania | 42029 | 91520 | 1140 |
2365113 | 2365113 | 2022-04-01 | Clarion | Pennsylvania | 42031 | 8220 | 203 |
2365114 | 2365114 | 2022-04-01 | Clearfield | Pennsylvania | 42033 | 19260 | 341 |
2365115 | 2365115 | 2022-04-01 | Clinton | Pennsylvania | 42035 | 9028 | 124 |
2365116 | 2365116 | 2022-04-01 | Columbia | Pennsylvania | 42037 | 15026 | 243 |
2365117 | 2365117 | 2022-04-01 | Crawford | Pennsylvania | 42039 | 19745 | 314 |
2365118 | 2365118 | 2022-04-01 | Cumberland | Pennsylvania | 42041 | 50849 | 888 |
2365119 | 2365119 | 2022-04-01 | Dauphin | Pennsylvania | 42043 | 59007 | 957 |
2365120 | 2365120 | 2022-04-01 | Delaware | Pennsylvania | 42045 | 109759 | 1862 |
2365121 | 2365121 | 2022-04-01 | Elk | Pennsylvania | 42047 | 7127 | 100 |
2365122 | 2365122 | 2022-04-01 | Erie | Pennsylvania | 42049 | 56984 | 750 |
2365123 | 2365123 | 2022-04-01 | Fayette | Pennsylvania | 42051 | 30994 | 664 |
2365124 | 2365124 | 2022-04-01 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2365125 | 2365125 | 2022-04-01 | Franklin | Pennsylvania | 42055 | 40272 | 688 |
2365126 | 2365126 | 2022-04-01 | Fulton | Pennsylvania | 42057 | 4121 | 65 |
2365127 | 2365127 | 2022-04-01 | Greene | Pennsylvania | 42059 | 8445 | 104 |
2365128 | 2365128 | 2022-04-01 | Huntingdon | Pennsylvania | 42061 | 11487 | 243 |
2365129 | 2365129 | 2022-04-01 | Indiana | Pennsylvania | 42063 | 17384 | 352 |
2365130 | 2365130 | 2022-04-01 | Jefferson | Pennsylvania | 42065 | 8995 | 229 |
2365131 | 2365131 | 2022-04-01 | Juniata | Pennsylvania | 42067 | 4763 | 175 |
2365132 | 2365132 | 2022-04-01 | Lackawanna | Pennsylvania | 42069 | 43365 | 758 |
2365133 | 2365133 | 2022-04-01 | Lancaster | Pennsylvania | 42071 | 120770 | 1877 |
2365134 | 2365134 | 2022-04-01 | Lawrence | Pennsylvania | 42073 | 18923 | 412 |
2365135 | 2365135 | 2022-04-01 | Lebanon | Pennsylvania | 42075 | 36510 | 513 |
2365136 | 2365136 | 2022-04-01 | Lehigh | Pennsylvania | 42077 | 89280 | 1233 |
2365137 | 2365137 | 2022-04-01 | Luzerne | Pennsylvania | 42079 | 73379 | 1341 |
2365138 | 2365138 | 2022-04-01 | Lycoming | Pennsylvania | 42081 | 28378 | 511 |
2365139 | 2365139 | 2022-04-01 | McKean | Pennsylvania | 42083 | 8170 | 138 |
2365140 | 2365140 | 2022-04-01 | Mercer | Pennsylvania | 42085 | 23284 | 496 |
2365141 | 2365141 | 2022-04-01 | Mifflin | Pennsylvania | 42087 | 12257 | 276 |
2365142 | 2365142 | 2022-04-01 | Monroe | Pennsylvania | 42089 | 36905 | 517 |
2365143 | 2365143 | 2022-04-01 | Montgomery | Pennsylvania | 42091 | 152075 | 2304 |
2365144 | 2365144 | 2022-04-01 | Montour | Pennsylvania | 42093 | 4509 | 93 |
2365145 | 2365145 | 2022-04-01 | Northampton | Pennsylvania | 42095 | 79393 | 1082 |
2365146 | 2365146 | 2022-04-01 | Northumberland | Pennsylvania | 42097 | 22788 | 529 |
2365147 | 2365147 | 2022-04-01 | Perry | Pennsylvania | 42099 | 8818 | 183 |
2365148 | 2365148 | 2022-04-01 | Philadelphia | Pennsylvania | 42101 | 308108 | 5066 |
2365149 | 2365149 | 2022-04-01 | Pike | Pennsylvania | 42103 | 10103 | 95 |
2365150 | 2365150 | 2022-04-01 | Potter | Pennsylvania | 42105 | 3175 | 91 |
2365151 | 2365151 | 2022-04-01 | Schuylkill | Pennsylvania | 42107 | 34384 | 672 |
2365152 | 2365152 | 2022-04-01 | Snyder | Pennsylvania | 42109 | 8095 | 155 |
2365153 | 2365153 | 2022-04-01 | Somerset | Pennsylvania | 42111 | 18686 | 401 |
2365154 | 2365154 | 2022-04-01 | Sullivan | Pennsylvania | 42113 | 1048 | 36 |
2365155 | 2365155 | 2022-04-01 | Susquehanna | Pennsylvania | 42115 | 7768 | 107 |
2365156 | 2365156 | 2022-04-01 | Tioga | Pennsylvania | 42117 | 7997 | 192 |
2365157 | 2365157 | 2022-04-01 | Union | Pennsylvania | 42119 | 11678 | 153 |
2365158 | 2365158 | 2022-04-01 | Venango | Pennsylvania | 42121 | 11232 | 237 |
2365159 | 2365159 | 2022-04-01 | Warren | Pennsylvania | 42123 | 7322 | 210 |
2365160 | 2365160 | 2022-04-01 | Washington | Pennsylvania | 42125 | 50752 | 649 |
2365161 | 2365161 | 2022-04-01 | Wayne | Pennsylvania | 42127 | 10110 | 169 |
2365162 | 2365162 | 2022-04-01 | Westmoreland | Pennsylvania | 42129 | 79584 | 1363 |
2365163 | 2365163 | 2022-04-01 | Wyoming | Pennsylvania | 42131 | 5065 | 104 |
2365164 | 2365164 | 2022-04-01 | York | Pennsylvania | 42133 | 118435 | 1485 |
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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);