ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
52,441 rows where state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
- 42045 148
- 42127 148
- 42091 147
- 42089 145
- 42101 144
- 42017 143
- 42095 142
- 42103 142
- 42029 141
- 42041 141
- 42125 141
- 42003 140
- 42077 139
- 42079 139
- 42007 137
- 42001 136
- 42011 136
- 42069 136
- 42133 136
- 42071 135
- 42075 135
- 42129 135
- 42027 134
- 42049 134
- 42055 134
- 42105 134
- 42019 133
- 42093 133
- 42037 132
- 42043 132
- …
county >30
- Delaware 148
- Wayne 148
- Montgomery 147
- Monroe 145
- Philadelphia 144
- Bucks 143
- Northampton 142
- Pike 142
- Chester 141
- Cumberland 141
- Washington 141
- Allegheny 140
- Lehigh 139
- Luzerne 139
- Beaver 137
- Adams 136
- Berks 136
- Lackawanna 136
- York 136
- Lancaster 135
- Lebanon 135
- Westmoreland 135
- Centre 134
- Erie 134
- Franklin 134
- Potter 134
- Butler 133
- Montour 133
- Columbia 132
- Dauphin 132
- …
state 1
- Pennsylvania · 8,824 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
388177 | 388177 | 2020-07-31 | Adams | Pennsylvania | 42001 | 462 | 20 |
388178 | 388178 | 2020-07-31 | Allegheny | Pennsylvania | 42003 | 8094 | 239 |
388179 | 388179 | 2020-07-31 | Armstrong | Pennsylvania | 42005 | 179 | 6 |
388180 | 388180 | 2020-07-31 | Beaver | Pennsylvania | 42007 | 1212 | 88 |
388181 | 388181 | 2020-07-31 | Bedford | Pennsylvania | 42009 | 128 | 4 |
388182 | 388182 | 2020-07-31 | Berks | Pennsylvania | 42011 | 5152 | 365 |
388183 | 388183 | 2020-07-31 | Blair | Pennsylvania | 42013 | 204 | 3 |
388184 | 388184 | 2020-07-31 | Bradford | Pennsylvania | 42015 | 80 | 3 |
388185 | 388185 | 2020-07-31 | Bucks | Pennsylvania | 42017 | 6902 | 578 |
388186 | 388186 | 2020-07-31 | Butler | Pennsylvania | 42019 | 597 | 15 |
388187 | 388187 | 2020-07-31 | Cambria | Pennsylvania | 42021 | 250 | 3 |
388188 | 388188 | 2020-07-31 | Cameron | Pennsylvania | 42023 | 5 | 0 |
388189 | 388189 | 2020-07-31 | Carbon | Pennsylvania | 42025 | 356 | 28 |
388190 | 388190 | 2020-07-31 | Centre | Pennsylvania | 42027 | 357 | 10 |
388191 | 388191 | 2020-07-31 | Chester | Pennsylvania | 42029 | 4885 | 349 |
388192 | 388192 | 2020-07-31 | Clarion | Pennsylvania | 42031 | 75 | 2 |
388193 | 388193 | 2020-07-31 | Clearfield | Pennsylvania | 42033 | 131 | 0 |
388194 | 388194 | 2020-07-31 | Clinton | Pennsylvania | 42035 | 113 | 5 |
388195 | 388195 | 2020-07-31 | Columbia | Pennsylvania | 42037 | 457 | 35 |
388196 | 388196 | 2020-07-31 | Crawford | Pennsylvania | 42039 | 124 | 1 |
388197 | 388197 | 2020-07-31 | Cumberland | Pennsylvania | 42041 | 1203 | 70 |
388198 | 388198 | 2020-07-31 | Dauphin | Pennsylvania | 42043 | 2640 | 155 |
388199 | 388199 | 2020-07-31 | Delaware | Pennsylvania | 42045 | 8669 | 730 |
388200 | 388200 | 2020-07-31 | Elk | Pennsylvania | 42047 | 43 | 2 |
388201 | 388201 | 2020-07-31 | Erie | Pennsylvania | 42049 | 923 | 16 |
388202 | 388202 | 2020-07-31 | Fayette | Pennsylvania | 42051 | 387 | 4 |
388203 | 388203 | 2020-07-31 | Forest | Pennsylvania | 42053 | 9 | 0 |
388204 | 388204 | 2020-07-31 | Franklin | Pennsylvania | 42055 | 1268 | 46 |
388205 | 388205 | 2020-07-31 | Fulton | Pennsylvania | 42057 | 22 | 2 |
388206 | 388206 | 2020-07-31 | Greene | Pennsylvania | 42059 | 107 | 0 |
388207 | 388207 | 2020-07-31 | Huntingdon | Pennsylvania | 42061 | 287 | 4 |
388208 | 388208 | 2020-07-31 | Indiana | Pennsylvania | 42063 | 256 | 6 |
388209 | 388209 | 2020-07-31 | Jefferson | Pennsylvania | 42065 | 57 | 1 |
388210 | 388210 | 2020-07-31 | Juniata | Pennsylvania | 42067 | 125 | 6 |
388211 | 388211 | 2020-07-31 | Lackawanna | Pennsylvania | 42069 | 1894 | 212 |
388212 | 388212 | 2020-07-31 | Lancaster | Pennsylvania | 42071 | 5525 | 406 |
388213 | 388213 | 2020-07-31 | Lawrence | Pennsylvania | 42073 | 338 | 11 |
388214 | 388214 | 2020-07-31 | Lebanon | Pennsylvania | 42075 | 1563 | 54 |
388215 | 388215 | 2020-07-31 | Lehigh | Pennsylvania | 42077 | 4810 | 334 |
388216 | 388216 | 2020-07-31 | Luzerne | Pennsylvania | 42079 | 3252 | 183 |
388217 | 388217 | 2020-07-31 | Lycoming | Pennsylvania | 42081 | 325 | 20 |
388218 | 388218 | 2020-07-31 | McKean | Pennsylvania | 42083 | 28 | 1 |
388219 | 388219 | 2020-07-31 | Mercer | Pennsylvania | 42085 | 331 | 9 |
388220 | 388220 | 2020-07-31 | Mifflin | Pennsylvania | 42087 | 100 | 1 |
388221 | 388221 | 2020-07-31 | Monroe | Pennsylvania | 42089 | 1580 | 123 |
388222 | 388222 | 2020-07-31 | Montgomery | Pennsylvania | 42091 | 9761 | 848 |
388223 | 388223 | 2020-07-31 | Montour | Pennsylvania | 42093 | 93 | 3 |
388224 | 388224 | 2020-07-31 | Northampton | Pennsylvania | 42095 | 3827 | 290 |
388225 | 388225 | 2020-07-31 | Northumberland | Pennsylvania | 42097 | 401 | 11 |
388226 | 388226 | 2020-07-31 | Perry | Pennsylvania | 42099 | 113 | 5 |
388227 | 388227 | 2020-07-31 | Philadelphia | Pennsylvania | 42101 | 30354 | 1690 |
388228 | 388228 | 2020-07-31 | Pike | Pennsylvania | 42103 | 524 | 21 |
388229 | 388229 | 2020-07-31 | Potter | Pennsylvania | 42105 | 20 | 0 |
388230 | 388230 | 2020-07-31 | Schuylkill | Pennsylvania | 42107 | 880 | 49 |
388231 | 388231 | 2020-07-31 | Snyder | Pennsylvania | 42109 | 93 | 2 |
388232 | 388232 | 2020-07-31 | Somerset | Pennsylvania | 42111 | 120 | 2 |
388233 | 388233 | 2020-07-31 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
388234 | 388234 | 2020-07-31 | Susquehanna | Pennsylvania | 42115 | 209 | 26 |
388235 | 388235 | 2020-07-31 | Tioga | Pennsylvania | 42117 | 35 | 2 |
388236 | 388236 | 2020-07-31 | Union | Pennsylvania | 42119 | 132 | 2 |
388237 | 388237 | 2020-07-31 | Venango | Pennsylvania | 42121 | 62 | 0 |
388238 | 388238 | 2020-07-31 | Warren | Pennsylvania | 42123 | 15 | 1 |
388239 | 388239 | 2020-07-31 | Washington | Pennsylvania | 42125 | 740 | 11 |
388240 | 388240 | 2020-07-31 | Wayne | Pennsylvania | 42127 | 158 | 8 |
388241 | 388241 | 2020-07-31 | Westmoreland | Pennsylvania | 42129 | 1409 | 46 |
388242 | 388242 | 2020-07-31 | Wyoming | Pennsylvania | 42131 | 57 | 8 |
388243 | 388243 | 2020-07-31 | York | Pennsylvania | 42133 | 2269 | 86 |
384960 | 384960 | 2020-07-30 | Adams | Pennsylvania | 42001 | 461 | 19 |
384961 | 384961 | 2020-07-30 | Allegheny | Pennsylvania | 42003 | 7850 | 235 |
384962 | 384962 | 2020-07-30 | Armstrong | Pennsylvania | 42005 | 178 | 6 |
384963 | 384963 | 2020-07-30 | Beaver | Pennsylvania | 42007 | 1189 | 88 |
384964 | 384964 | 2020-07-30 | Bedford | Pennsylvania | 42009 | 127 | 4 |
384965 | 384965 | 2020-07-30 | Berks | Pennsylvania | 42011 | 5125 | 364 |
384966 | 384966 | 2020-07-30 | Blair | Pennsylvania | 42013 | 201 | 3 |
384967 | 384967 | 2020-07-30 | Bradford | Pennsylvania | 42015 | 80 | 3 |
384968 | 384968 | 2020-07-30 | Bucks | Pennsylvania | 42017 | 6847 | 577 |
384969 | 384969 | 2020-07-30 | Butler | Pennsylvania | 42019 | 593 | 15 |
384970 | 384970 | 2020-07-30 | Cambria | Pennsylvania | 42021 | 239 | 3 |
384971 | 384971 | 2020-07-30 | Cameron | Pennsylvania | 42023 | 5 | 0 |
384972 | 384972 | 2020-07-30 | Carbon | Pennsylvania | 42025 | 356 | 28 |
384973 | 384973 | 2020-07-30 | Centre | Pennsylvania | 42027 | 353 | 10 |
384974 | 384974 | 2020-07-30 | Chester | Pennsylvania | 42029 | 4836 | 346 |
384975 | 384975 | 2020-07-30 | Clarion | Pennsylvania | 42031 | 73 | 2 |
384976 | 384976 | 2020-07-30 | Clearfield | Pennsylvania | 42033 | 122 | 0 |
384977 | 384977 | 2020-07-30 | Clinton | Pennsylvania | 42035 | 113 | 5 |
384978 | 384978 | 2020-07-30 | Columbia | Pennsylvania | 42037 | 456 | 35 |
384979 | 384979 | 2020-07-30 | Crawford | Pennsylvania | 42039 | 122 | 1 |
384980 | 384980 | 2020-07-30 | Cumberland | Pennsylvania | 42041 | 1189 | 70 |
384981 | 384981 | 2020-07-30 | Dauphin | Pennsylvania | 42043 | 2628 | 155 |
384982 | 384982 | 2020-07-30 | Delaware | Pennsylvania | 42045 | 8656 | 730 |
384983 | 384983 | 2020-07-30 | Elk | Pennsylvania | 42047 | 42 | 2 |
384984 | 384984 | 2020-07-30 | Erie | Pennsylvania | 42049 | 905 | 15 |
384985 | 384985 | 2020-07-30 | Fayette | Pennsylvania | 42051 | 363 | 4 |
384986 | 384986 | 2020-07-30 | Forest | Pennsylvania | 42053 | 9 | 0 |
384987 | 384987 | 2020-07-30 | Franklin | Pennsylvania | 42055 | 1259 | 46 |
384988 | 384988 | 2020-07-30 | Fulton | Pennsylvania | 42057 | 22 | 2 |
384989 | 384989 | 2020-07-30 | Greene | Pennsylvania | 42059 | 105 | 0 |
384990 | 384990 | 2020-07-30 | Huntingdon | Pennsylvania | 42061 | 287 | 4 |
384991 | 384991 | 2020-07-30 | Indiana | Pennsylvania | 42063 | 250 | 6 |
384992 | 384992 | 2020-07-30 | Jefferson | Pennsylvania | 42065 | 57 | 1 |
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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);