ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
59 rows where "date" is on date 2020-03-30 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
fips 59
- 42001 1
- 42003 1
- 42005 1
- 42007 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
- 42037 1
- 42039 1
- 42041 1
- 42043 1
- 42045 1
- 42049 1
- 42051 1
- 42055 1
- 42059 1
- 42061 1
- 42063 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
- 42115 1
- 42117 1
- 42119 1
- 42121 1
- 42123 1
- 42125 1
- 42127 1
- 42129 1
- 42133 1
county 59
- Adams 1
- Allegheny 1
- Armstrong 1
- Beaver 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
- Columbia 1
- Crawford 1
- Cumberland 1
- Dauphin 1
- Delaware 1
- Erie 1
- Fayette 1
- Franklin 1
- Greene 1
- Huntingdon 1
- Indiana 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
- Susquehanna 1
- Tioga 1
- Union 1
- Venango 1
- Warren 1
- Washington 1
- Wayne 1
- Westmoreland 1
- York 1
state 1
- Pennsylvania · 59 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
21153 | 21153 | 2020-03-30 | Adams | Pennsylvania | 42001 | 8 | 0 |
21154 | 21154 | 2020-03-30 | Allegheny | Pennsylvania | 42003 | 290 | 2 |
21155 | 21155 | 2020-03-30 | Armstrong | Pennsylvania | 42005 | 3 | 0 |
21156 | 21156 | 2020-03-30 | Beaver | Pennsylvania | 42007 | 44 | 0 |
21157 | 21157 | 2020-03-30 | Berks | Pennsylvania | 42011 | 82 | 0 |
21158 | 21158 | 2020-03-30 | Blair | Pennsylvania | 42013 | 6 | 0 |
21159 | 21159 | 2020-03-30 | Bradford | Pennsylvania | 42015 | 3 | 0 |
21160 | 21160 | 2020-03-30 | Bucks | Pennsylvania | 42017 | 249 | 3 |
21161 | 21161 | 2020-03-30 | Butler | Pennsylvania | 42019 | 49 | 2 |
21162 | 21162 | 2020-03-30 | Cambria | Pennsylvania | 42021 | 2 | 0 |
21163 | 21163 | 2020-03-30 | Cameron | Pennsylvania | 42023 | 1 | 0 |
21164 | 21164 | 2020-03-30 | Carbon | Pennsylvania | 42025 | 13 | 0 |
21165 | 21165 | 2020-03-30 | Centre | Pennsylvania | 42027 | 24 | 0 |
21166 | 21166 | 2020-03-30 | Chester | Pennsylvania | 42029 | 146 | 0 |
21167 | 21167 | 2020-03-30 | Clarion | Pennsylvania | 42031 | 1 | 0 |
21168 | 21168 | 2020-03-30 | Clearfield | Pennsylvania | 42033 | 4 | 0 |
21169 | 21169 | 2020-03-30 | Columbia | Pennsylvania | 42037 | 6 | 0 |
21170 | 21170 | 2020-03-30 | Crawford | Pennsylvania | 42039 | 4 | 0 |
21171 | 21171 | 2020-03-30 | Cumberland | Pennsylvania | 42041 | 24 | 1 |
21172 | 21172 | 2020-03-30 | Dauphin | Pennsylvania | 42043 | 36 | 0 |
21173 | 21173 | 2020-03-30 | Delaware | Pennsylvania | 42045 | 303 | 4 |
21174 | 21174 | 2020-03-30 | Erie | Pennsylvania | 42049 | 13 | 0 |
21175 | 21175 | 2020-03-30 | Fayette | Pennsylvania | 42051 | 11 | 0 |
21176 | 21176 | 2020-03-30 | Franklin | Pennsylvania | 42055 | 12 | 0 |
21177 | 21177 | 2020-03-30 | Greene | Pennsylvania | 42059 | 7 | 0 |
21178 | 21178 | 2020-03-30 | Huntingdon | Pennsylvania | 42061 | 1 | 0 |
21179 | 21179 | 2020-03-30 | Indiana | Pennsylvania | 42063 | 2 | 0 |
21180 | 21180 | 2020-03-30 | Juniata | Pennsylvania | 42067 | 3 | 0 |
21181 | 21181 | 2020-03-30 | Lackawanna | Pennsylvania | 42069 | 62 | 2 |
21182 | 21182 | 2020-03-30 | Lancaster | Pennsylvania | 42071 | 97 | 2 |
21183 | 21183 | 2020-03-30 | Lawrence | Pennsylvania | 42073 | 10 | 1 |
21184 | 21184 | 2020-03-30 | Lebanon | Pennsylvania | 42075 | 27 | 0 |
21185 | 21185 | 2020-03-30 | Lehigh | Pennsylvania | 42077 | 231 | 3 |
21186 | 21186 | 2020-03-30 | Luzerne | Pennsylvania | 42079 | 150 | 3 |
21187 | 21187 | 2020-03-30 | Lycoming | Pennsylvania | 42081 | 4 | 0 |
21188 | 21188 | 2020-03-30 | McKean | Pennsylvania | 42083 | 1 | 0 |
21189 | 21189 | 2020-03-30 | Mercer | Pennsylvania | 42085 | 7 | 0 |
21190 | 21190 | 2020-03-30 | Mifflin | Pennsylvania | 42087 | 2 | 0 |
21191 | 21191 | 2020-03-30 | Monroe | Pennsylvania | 42089 | 182 | 7 |
21192 | 21192 | 2020-03-30 | Montgomery | Pennsylvania | 42091 | 540 | 5 |
21193 | 21193 | 2020-03-30 | Montour | Pennsylvania | 42093 | 10 | 0 |
21194 | 21194 | 2020-03-30 | Northampton | Pennsylvania | 42095 | 184 | 5 |
21195 | 21195 | 2020-03-30 | Northumberland | Pennsylvania | 42097 | 1 | 0 |
21196 | 21196 | 2020-03-30 | Perry | Pennsylvania | 42099 | 1 | 0 |
21197 | 21197 | 2020-03-30 | Philadelphia | Pennsylvania | 42101 | 1072 | 7 |
21198 | 21198 | 2020-03-30 | Pike | Pennsylvania | 42103 | 39 | 1 |
21199 | 21199 | 2020-03-30 | Potter | Pennsylvania | 42105 | 2 | 0 |
21200 | 21200 | 2020-03-30 | Schuylkill | Pennsylvania | 42107 | 30 | 0 |
21201 | 21201 | 2020-03-30 | Snyder | Pennsylvania | 42109 | 2 | 0 |
21202 | 21202 | 2020-03-30 | Somerset | Pennsylvania | 42111 | 2 | 0 |
21203 | 21203 | 2020-03-30 | Susquehanna | Pennsylvania | 42115 | 1 | 0 |
21204 | 21204 | 2020-03-30 | Tioga | Pennsylvania | 42117 | 1 | 0 |
21205 | 21205 | 2020-03-30 | Union | Pennsylvania | 42119 | 4 | 0 |
21206 | 21206 | 2020-03-30 | Venango | Pennsylvania | 42121 | 1 | 0 |
21207 | 21207 | 2020-03-30 | Warren | Pennsylvania | 42123 | 1 | 0 |
21208 | 21208 | 2020-03-30 | Washington | Pennsylvania | 42125 | 26 | 0 |
21209 | 21209 | 2020-03-30 | Wayne | Pennsylvania | 42127 | 10 | 0 |
21210 | 21210 | 2020-03-30 | Westmoreland | Pennsylvania | 42129 | 55 | 0 |
21211 | 21211 | 2020-03-30 | York | Pennsylvania | 42133 | 54 | 0 |
Advanced export
JSON shape: default, array, newline-delimited
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);