ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
56 rows where "date" is on date 2020-03-28 and state = "Pennsylvania" sorted by date descending
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fips >30
county >30
- 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
- …
state 1
- Pennsylvania · 56 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
17165 | 17165 | 2020-03-28 | Adams | Pennsylvania | 42001 | 8 | 0 |
17166 | 17166 | 2020-03-28 | Allegheny | Pennsylvania | 42003 | 219 | 2 |
17167 | 17167 | 2020-03-28 | Armstrong | Pennsylvania | 42005 | 2 | 0 |
17168 | 17168 | 2020-03-28 | Beaver | Pennsylvania | 42007 | 22 | 0 |
17169 | 17169 | 2020-03-28 | Berks | Pennsylvania | 42011 | 65 | 0 |
17170 | 17170 | 2020-03-28 | Blair | Pennsylvania | 42013 | 2 | 0 |
17171 | 17171 | 2020-03-28 | Bradford | Pennsylvania | 42015 | 3 | 0 |
17172 | 17172 | 2020-03-28 | Bucks | Pennsylvania | 42017 | 216 | 1 |
17173 | 17173 | 2020-03-28 | Butler | Pennsylvania | 42019 | 41 | 2 |
17174 | 17174 | 2020-03-28 | Cambria | Pennsylvania | 42021 | 1 | 0 |
17175 | 17175 | 2020-03-28 | Cameron | Pennsylvania | 42023 | 1 | 0 |
17176 | 17176 | 2020-03-28 | Carbon | Pennsylvania | 42025 | 3 | 0 |
17177 | 17177 | 2020-03-28 | Centre | Pennsylvania | 42027 | 15 | 0 |
17178 | 17178 | 2020-03-28 | Chester | Pennsylvania | 42029 | 116 | 0 |
17179 | 17179 | 2020-03-28 | Clarion | Pennsylvania | 42031 | 1 | 0 |
17180 | 17180 | 2020-03-28 | Clearfield | Pennsylvania | 42033 | 2 | 0 |
17181 | 17181 | 2020-03-28 | Columbia | Pennsylvania | 42037 | 4 | 0 |
17182 | 17182 | 2020-03-28 | Crawford | Pennsylvania | 42039 | 2 | 0 |
17183 | 17183 | 2020-03-28 | Cumberland | Pennsylvania | 42041 | 22 | 1 |
17184 | 17184 | 2020-03-28 | Dauphin | Pennsylvania | 42043 | 23 | 0 |
17185 | 17185 | 2020-03-28 | Delaware | Pennsylvania | 42045 | 226 | 4 |
17186 | 17186 | 2020-03-28 | Erie | Pennsylvania | 42049 | 7 | 0 |
17187 | 17187 | 2020-03-28 | Fayette | Pennsylvania | 42051 | 10 | 0 |
17188 | 17188 | 2020-03-28 | Franklin | Pennsylvania | 42055 | 7 | 0 |
17189 | 17189 | 2020-03-28 | Greene | Pennsylvania | 42059 | 6 | 0 |
17190 | 17190 | 2020-03-28 | Huntingdon | Pennsylvania | 42061 | 1 | 0 |
17191 | 17191 | 2020-03-28 | Indiana | Pennsylvania | 42063 | 2 | 0 |
17192 | 17192 | 2020-03-28 | Juniata | Pennsylvania | 42067 | 1 | 0 |
17193 | 17193 | 2020-03-28 | Lackawanna | Pennsylvania | 42069 | 51 | 2 |
17194 | 17194 | 2020-03-28 | Lancaster | Pennsylvania | 42071 | 45 | 1 |
17195 | 17195 | 2020-03-28 | Lawrence | Pennsylvania | 42073 | 8 | 0 |
17196 | 17196 | 2020-03-28 | Lebanon | Pennsylvania | 42075 | 15 | 0 |
17197 | 17197 | 2020-03-28 | Lehigh | Pennsylvania | 42077 | 109 | 3 |
17198 | 17198 | 2020-03-28 | Luzerne | Pennsylvania | 42079 | 65 | 2 |
17199 | 17199 | 2020-03-28 | Lycoming | Pennsylvania | 42081 | 2 | 0 |
17200 | 17200 | 2020-03-28 | McKean | Pennsylvania | 42083 | 1 | 0 |
17201 | 17201 | 2020-03-28 | Mercer | Pennsylvania | 42085 | 6 | 0 |
17202 | 17202 | 2020-03-28 | Monroe | Pennsylvania | 42089 | 106 | 2 |
17203 | 17203 | 2020-03-28 | Montgomery | Pennsylvania | 42091 | 411 | 5 |
17204 | 17204 | 2020-03-28 | Montour | Pennsylvania | 42093 | 5 | 0 |
17205 | 17205 | 2020-03-28 | Northampton | Pennsylvania | 42095 | 94 | 4 |
17206 | 17206 | 2020-03-28 | Northumberland | Pennsylvania | 42097 | 1 | 0 |
17207 | 17207 | 2020-03-28 | Perry | Pennsylvania | 42099 | 1 | 0 |
17208 | 17208 | 2020-03-28 | Philadelphia | Pennsylvania | 42101 | 709 | 5 |
17209 | 17209 | 2020-03-28 | Pike | Pennsylvania | 42103 | 27 | 1 |
17210 | 17210 | 2020-03-28 | Potter | Pennsylvania | 42105 | 2 | 0 |
17211 | 17211 | 2020-03-28 | Schuylkill | Pennsylvania | 42107 | 16 | 0 |
17212 | 17212 | 2020-03-28 | Snyder | Pennsylvania | 42109 | 1 | 0 |
17213 | 17213 | 2020-03-28 | Somerset | Pennsylvania | 42111 | 2 | 0 |
17214 | 17214 | 2020-03-28 | Susquehanna | Pennsylvania | 42115 | 1 | 0 |
17215 | 17215 | 2020-03-28 | Tioga | Pennsylvania | 42117 | 1 | 0 |
17216 | 17216 | 2020-03-28 | Warren | Pennsylvania | 42123 | 1 | 0 |
17217 | 17217 | 2020-03-28 | Washington | Pennsylvania | 42125 | 23 | 0 |
17218 | 17218 | 2020-03-28 | Wayne | Pennsylvania | 42127 | 6 | 0 |
17219 | 17219 | 2020-03-28 | Westmoreland | Pennsylvania | 42129 | 41 | 0 |
17220 | 17220 | 2020-03-28 | York | Pennsylvania | 42133 | 37 | 0 |
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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);