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 2020-04-29 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
100200 | 100200 | 2020-04-29 | Adams | Pennsylvania | 42001 | 130 | 4 |
100201 | 100201 | 2020-04-29 | Allegheny | Pennsylvania | 42003 | 1273 | 86 |
100202 | 100202 | 2020-04-29 | Armstrong | Pennsylvania | 42005 | 50 | 2 |
100203 | 100203 | 2020-04-29 | Beaver | Pennsylvania | 42007 | 392 | 65 |
100204 | 100204 | 2020-04-29 | Bedford | Pennsylvania | 42009 | 24 | 1 |
100205 | 100205 | 2020-04-29 | Berks | Pennsylvania | 42011 | 2637 | 116 |
100206 | 100206 | 2020-04-29 | Blair | Pennsylvania | 42013 | 23 | 0 |
100207 | 100207 | 2020-04-29 | Bradford | Pennsylvania | 42015 | 29 | 5 |
100208 | 100208 | 2020-04-29 | Bucks | Pennsylvania | 42017 | 2907 | 198 |
100209 | 100209 | 2020-04-29 | Butler | Pennsylvania | 42019 | 175 | 6 |
100210 | 100210 | 2020-04-29 | Cambria | Pennsylvania | 42021 | 25 | 2 |
100211 | 100211 | 2020-04-29 | Cameron | Pennsylvania | 42023 | 1 | 0 |
100212 | 100212 | 2020-04-29 | Carbon | Pennsylvania | 42025 | 170 | 14 |
100213 | 100213 | 2020-04-29 | Centre | Pennsylvania | 42027 | 95 | 2 |
100214 | 100214 | 2020-04-29 | Chester | Pennsylvania | 42029 | 1339 | 102 |
100215 | 100215 | 2020-04-29 | Clarion | Pennsylvania | 42031 | 23 | 1 |
100216 | 100216 | 2020-04-29 | Clearfield | Pennsylvania | 42033 | 14 | 0 |
100217 | 100217 | 2020-04-29 | Clinton | Pennsylvania | 42035 | 30 | 0 |
100218 | 100218 | 2020-04-29 | Columbia | Pennsylvania | 42037 | 283 | 14 |
100219 | 100219 | 2020-04-29 | Crawford | Pennsylvania | 42039 | 19 | 0 |
100220 | 100220 | 2020-04-29 | Cumberland | Pennsylvania | 42041 | 324 | 15 |
100221 | 100221 | 2020-04-29 | Dauphin | Pennsylvania | 42043 | 558 | 21 |
100222 | 100222 | 2020-04-29 | Delaware | Pennsylvania | 42045 | 3672 | 224 |
100223 | 100223 | 2020-04-29 | Elk | Pennsylvania | 42047 | 3 | 0 |
100224 | 100224 | 2020-04-29 | Erie | Pennsylvania | 42049 | 87 | 2 |
100225 | 100225 | 2020-04-29 | Fayette | Pennsylvania | 42051 | 80 | 4 |
100226 | 100226 | 2020-04-29 | Forest | Pennsylvania | 42053 | 7 | 0 |
100227 | 100227 | 2020-04-29 | Franklin | Pennsylvania | 42055 | 264 | 10 |
100228 | 100228 | 2020-04-29 | Fulton | Pennsylvania | 42057 | 5 | 0 |
100229 | 100229 | 2020-04-29 | Greene | Pennsylvania | 42059 | 26 | 0 |
100230 | 100230 | 2020-04-29 | Huntingdon | Pennsylvania | 42061 | 29 | 0 |
100231 | 100231 | 2020-04-29 | Indiana | Pennsylvania | 42063 | 63 | 4 |
100232 | 100232 | 2020-04-29 | Jefferson | Pennsylvania | 42065 | 4 | 0 |
100233 | 100233 | 2020-04-29 | Juniata | Pennsylvania | 42067 | 82 | 1 |
100234 | 100234 | 2020-04-29 | Lackawanna | Pennsylvania | 42069 | 873 | 81 |
100235 | 100235 | 2020-04-29 | Lancaster | Pennsylvania | 42071 | 1703 | 170 |
100236 | 100236 | 2020-04-29 | Lawrence | Pennsylvania | 42073 | 64 | 6 |
100237 | 100237 | 2020-04-29 | Lebanon | Pennsylvania | 42075 | 648 | 9 |
100238 | 100238 | 2020-04-29 | Lehigh | Pennsylvania | 42077 | 2719 | 72 |
100239 | 100239 | 2020-04-29 | Luzerne | Pennsylvania | 42079 | 2111 | 82 |
100240 | 100240 | 2020-04-29 | Lycoming | Pennsylvania | 42081 | 61 | 2 |
100241 | 100241 | 2020-04-29 | McKean | Pennsylvania | 42083 | 6 | 0 |
100242 | 100242 | 2020-04-29 | Mercer | Pennsylvania | 42085 | 66 | 1 |
100243 | 100243 | 2020-04-29 | Mifflin | Pennsylvania | 42087 | 36 | 0 |
100244 | 100244 | 2020-04-29 | Monroe | Pennsylvania | 42089 | 1111 | 54 |
100245 | 100245 | 2020-04-29 | Montgomery | Pennsylvania | 42091 | 4177 | 329 |
100246 | 100246 | 2020-04-29 | Montour | Pennsylvania | 42093 | 48 | 0 |
100247 | 100247 | 2020-04-29 | Northampton | Pennsylvania | 42095 | 2008 | 85 |
100248 | 100248 | 2020-04-29 | Northumberland | Pennsylvania | 42097 | 92 | 0 |
100249 | 100249 | 2020-04-29 | Perry | Pennsylvania | 42099 | 30 | 1 |
100250 | 100250 | 2020-04-29 | Philadelphia | Pennsylvania | 42101 | 13445 | 516 |
100251 | 100251 | 2020-04-29 | Pike | Pennsylvania | 42103 | 369 | 14 |
100252 | 100252 | 2020-04-29 | Potter | Pennsylvania | 42105 | 4 | 0 |
100253 | 100253 | 2020-04-29 | Schuylkill | Pennsylvania | 42107 | 343 | 7 |
100254 | 100254 | 2020-04-29 | Snyder | Pennsylvania | 42109 | 33 | 1 |
100255 | 100255 | 2020-04-29 | Somerset | Pennsylvania | 42111 | 26 | 0 |
100256 | 100256 | 2020-04-29 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
100257 | 100257 | 2020-04-29 | Susquehanna | Pennsylvania | 42115 | 82 | 8 |
100258 | 100258 | 2020-04-29 | Tioga | Pennsylvania | 42117 | 14 | 2 |
100259 | 100259 | 2020-04-29 | Union | Pennsylvania | 42119 | 33 | 0 |
100260 | 100260 | 2020-04-29 | Venango | Pennsylvania | 42121 | 7 | 0 |
100261 | 100261 | 2020-04-29 | Warren | Pennsylvania | 42123 | 1 | 1 |
100262 | 100262 | 2020-04-29 | Washington | Pennsylvania | 42125 | 113 | 2 |
100263 | 100263 | 2020-04-29 | Wayne | Pennsylvania | 42127 | 95 | 5 |
100264 | 100264 | 2020-04-29 | Westmoreland | Pennsylvania | 42129 | 386 | 30 |
100265 | 100265 | 2020-04-29 | Wyoming | Pennsylvania | 42131 | 19 | 2 |
100266 | 100266 | 2020-04-29 | York | Pennsylvania | 42133 | 624 | 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);