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 2020-08-05 and state = "Pennsylvania" sorted by date descending
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fips 67
- 42001 1
- 42003 1
- 42005 1
- 42007 1
- 42009 1
- 42011 1
- 42013 1
- 42015 1
- 42017 1
- 42019 1
- 42021 1
- 42023 1
- 42025 1
- 42027 1
- 42029 1
- 42031 1
- 42033 1
- 42035 1
- 42037 1
- 42039 1
- 42041 1
- 42043 1
- 42045 1
- 42047 1
- 42049 1
- 42051 1
- 42053 1
- 42055 1
- 42057 1
- 42059 1
- 42061 1
- 42063 1
- 42065 1
- 42067 1
- 42069 1
- 42071 1
- 42073 1
- 42075 1
- 42077 1
- 42079 1
- 42081 1
- 42083 1
- 42085 1
- 42087 1
- 42089 1
- 42091 1
- 42093 1
- 42095 1
- 42097 1
- 42099 1
- 42101 1
- 42103 1
- 42105 1
- 42107 1
- 42109 1
- 42111 1
- 42113 1
- 42115 1
- 42117 1
- 42119 1
- 42121 1
- 42123 1
- 42125 1
- 42127 1
- 42129 1
- 42131 1
- 42133 1
county 67
- Adams 1
- Allegheny 1
- Armstrong 1
- Beaver 1
- Bedford 1
- Berks 1
- Blair 1
- Bradford 1
- Bucks 1
- Butler 1
- Cambria 1
- Cameron 1
- Carbon 1
- Centre 1
- Chester 1
- Clarion 1
- Clearfield 1
- Clinton 1
- Columbia 1
- Crawford 1
- Cumberland 1
- Dauphin 1
- Delaware 1
- Elk 1
- Erie 1
- Fayette 1
- Forest 1
- Franklin 1
- Fulton 1
- Greene 1
- Huntingdon 1
- Indiana 1
- Jefferson 1
- Juniata 1
- Lackawanna 1
- Lancaster 1
- Lawrence 1
- Lebanon 1
- Lehigh 1
- Luzerne 1
- Lycoming 1
- McKean 1
- Mercer 1
- Mifflin 1
- Monroe 1
- Montgomery 1
- Montour 1
- Northampton 1
- Northumberland 1
- Perry 1
- Philadelphia 1
- Pike 1
- Potter 1
- Schuylkill 1
- Snyder 1
- Somerset 1
- Sullivan 1
- Susquehanna 1
- Tioga 1
- Union 1
- Venango 1
- Warren 1
- Washington 1
- Wayne 1
- Westmoreland 1
- Wyoming 1
- York 1
state 1
- Pennsylvania · 67 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
404260 | 404260 | 2020-08-05 | Adams | Pennsylvania | 42001 | 483 | 20 |
404261 | 404261 | 2020-08-05 | Allegheny | Pennsylvania | 42003 | 8512 | 248 |
404262 | 404262 | 2020-08-05 | Armstrong | Pennsylvania | 42005 | 196 | 6 |
404263 | 404263 | 2020-08-05 | Beaver | Pennsylvania | 42007 | 1269 | 89 |
404264 | 404264 | 2020-08-05 | Bedford | Pennsylvania | 42009 | 134 | 4 |
404265 | 404265 | 2020-08-05 | Berks | Pennsylvania | 42011 | 5267 | 367 |
404266 | 404266 | 2020-08-05 | Blair | Pennsylvania | 42013 | 241 | 3 |
404267 | 404267 | 2020-08-05 | Bradford | Pennsylvania | 42015 | 85 | 3 |
404268 | 404268 | 2020-08-05 | Bucks | Pennsylvania | 42017 | 7085 | 580 |
404269 | 404269 | 2020-08-05 | Butler | Pennsylvania | 42019 | 624 | 15 |
404270 | 404270 | 2020-08-05 | Cambria | Pennsylvania | 42021 | 312 | 3 |
404271 | 404271 | 2020-08-05 | Cameron | Pennsylvania | 42023 | 6 | 0 |
404272 | 404272 | 2020-08-05 | Carbon | Pennsylvania | 42025 | 364 | 28 |
404273 | 404273 | 2020-08-05 | Centre | Pennsylvania | 42027 | 361 | 10 |
404274 | 404274 | 2020-08-05 | Chester | Pennsylvania | 42029 | 5040 | 349 |
404275 | 404275 | 2020-08-05 | Clarion | Pennsylvania | 42031 | 77 | 2 |
404276 | 404276 | 2020-08-05 | Clearfield | Pennsylvania | 42033 | 144 | 0 |
404277 | 404277 | 2020-08-05 | Clinton | Pennsylvania | 42035 | 118 | 5 |
404278 | 404278 | 2020-08-05 | Columbia | Pennsylvania | 42037 | 468 | 35 |
404279 | 404279 | 2020-08-05 | Crawford | Pennsylvania | 42039 | 136 | 1 |
404280 | 404280 | 2020-08-05 | Cumberland | Pennsylvania | 42041 | 1259 | 70 |
404281 | 404281 | 2020-08-05 | Dauphin | Pennsylvania | 42043 | 2723 | 156 |
404282 | 404282 | 2020-08-05 | Delaware | Pennsylvania | 42045 | 9078 | 740 |
404283 | 404283 | 2020-08-05 | Elk | Pennsylvania | 42047 | 46 | 2 |
404284 | 404284 | 2020-08-05 | Erie | Pennsylvania | 42049 | 1037 | 17 |
404285 | 404285 | 2020-08-05 | Fayette | Pennsylvania | 42051 | 431 | 4 |
404286 | 404286 | 2020-08-05 | Forest | Pennsylvania | 42053 | 9 | 0 |
404287 | 404287 | 2020-08-05 | Franklin | Pennsylvania | 42055 | 1305 | 46 |
404288 | 404288 | 2020-08-05 | Fulton | Pennsylvania | 42057 | 25 | 2 |
404289 | 404289 | 2020-08-05 | Greene | Pennsylvania | 42059 | 110 | 1 |
404290 | 404290 | 2020-08-05 | Huntingdon | Pennsylvania | 42061 | 295 | 4 |
404291 | 404291 | 2020-08-05 | Indiana | Pennsylvania | 42063 | 283 | 6 |
404292 | 404292 | 2020-08-05 | Jefferson | Pennsylvania | 42065 | 61 | 1 |
404293 | 404293 | 2020-08-05 | Juniata | Pennsylvania | 42067 | 128 | 6 |
404294 | 404294 | 2020-08-05 | Lackawanna | Pennsylvania | 42069 | 1912 | 212 |
404295 | 404295 | 2020-08-05 | Lancaster | Pennsylvania | 42071 | 5725 | 408 |
404296 | 404296 | 2020-08-05 | Lawrence | Pennsylvania | 42073 | 359 | 12 |
404297 | 404297 | 2020-08-05 | Lebanon | Pennsylvania | 42075 | 1584 | 54 |
404298 | 404298 | 2020-08-05 | Lehigh | Pennsylvania | 42077 | 4887 | 335 |
404299 | 404299 | 2020-08-05 | Luzerne | Pennsylvania | 42079 | 3377 | 183 |
404300 | 404300 | 2020-08-05 | Lycoming | Pennsylvania | 42081 | 351 | 20 |
404301 | 404301 | 2020-08-05 | McKean | Pennsylvania | 42083 | 33 | 1 |
404302 | 404302 | 2020-08-05 | Mercer | Pennsylvania | 42085 | 376 | 9 |
404303 | 404303 | 2020-08-05 | Mifflin | Pennsylvania | 42087 | 113 | 1 |
404304 | 404304 | 2020-08-05 | Monroe | Pennsylvania | 42089 | 1611 | 124 |
404305 | 404305 | 2020-08-05 | Montgomery | Pennsylvania | 42091 | 9952 | 853 |
404306 | 404306 | 2020-08-05 | Montour | Pennsylvania | 42093 | 97 | 3 |
404307 | 404307 | 2020-08-05 | Northampton | Pennsylvania | 42095 | 3891 | 291 |
404308 | 404308 | 2020-08-05 | Northumberland | Pennsylvania | 42097 | 421 | 11 |
404309 | 404309 | 2020-08-05 | Perry | Pennsylvania | 42099 | 120 | 5 |
404310 | 404310 | 2020-08-05 | Philadelphia | Pennsylvania | 42101 | 30877 | 1695 |
404311 | 404311 | 2020-08-05 | Pike | Pennsylvania | 42103 | 526 | 21 |
404312 | 404312 | 2020-08-05 | Potter | Pennsylvania | 42105 | 20 | 0 |
404313 | 404313 | 2020-08-05 | Schuylkill | Pennsylvania | 42107 | 905 | 49 |
404314 | 404314 | 2020-08-05 | Snyder | Pennsylvania | 42109 | 100 | 2 |
404315 | 404315 | 2020-08-05 | Somerset | Pennsylvania | 42111 | 127 | 3 |
404316 | 404316 | 2020-08-05 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
404317 | 404317 | 2020-08-05 | Susquehanna | Pennsylvania | 42115 | 212 | 27 |
404318 | 404318 | 2020-08-05 | Tioga | Pennsylvania | 42117 | 36 | 3 |
404319 | 404319 | 2020-08-05 | Union | Pennsylvania | 42119 | 201 | 2 |
404320 | 404320 | 2020-08-05 | Venango | Pennsylvania | 42121 | 62 | 0 |
404321 | 404321 | 2020-08-05 | Warren | Pennsylvania | 42123 | 20 | 1 |
404322 | 404322 | 2020-08-05 | Washington | Pennsylvania | 42125 | 785 | 11 |
404323 | 404323 | 2020-08-05 | Wayne | Pennsylvania | 42127 | 157 | 8 |
404324 | 404324 | 2020-08-05 | Westmoreland | Pennsylvania | 42129 | 1475 | 46 |
404325 | 404325 | 2020-08-05 | Wyoming | Pennsylvania | 42131 | 58 | 8 |
404326 | 404326 | 2020-08-05 | York | Pennsylvania | 42133 | 2400 | 89 |
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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);