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 2020-12-04 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 |
---|---|---|---|---|---|---|---|
796129 | 796129 | 2020-12-04 | Adams | Pennsylvania | 42001 | 2292 | 49 |
796130 | 796130 | 2020-12-04 | Allegheny | Pennsylvania | 42003 | 31454 | 570 |
796131 | 796131 | 2020-12-04 | Armstrong | Pennsylvania | 42005 | 1984 | 46 |
796132 | 796132 | 2020-12-04 | Beaver | Pennsylvania | 42007 | 4554 | 163 |
796133 | 796133 | 2020-12-04 | Bedford | Pennsylvania | 42009 | 1737 | 44 |
796134 | 796134 | 2020-12-04 | Berks | Pennsylvania | 42011 | 15136 | 470 |
796135 | 796135 | 2020-12-04 | Blair | Pennsylvania | 42013 | 4725 | 78 |
796136 | 796136 | 2020-12-04 | Bradford | Pennsylvania | 42015 | 2049 | 43 |
796137 | 796137 | 2020-12-04 | Bucks | Pennsylvania | 42017 | 19654 | 716 |
796138 | 796138 | 2020-12-04 | Butler | Pennsylvania | 42019 | 5087 | 85 |
796139 | 796139 | 2020-12-04 | Cambria | Pennsylvania | 42021 | 5209 | 89 |
796140 | 796140 | 2020-12-04 | Cameron | Pennsylvania | 42023 | 32 | 0 |
796141 | 796141 | 2020-12-04 | Carbon | Pennsylvania | 42025 | 1550 | 57 |
796142 | 796142 | 2020-12-04 | Centre | Pennsylvania | 42027 | 6657 | 73 |
796143 | 796143 | 2020-12-04 | Chester | Pennsylvania | 42029 | 13426 | 416 |
796144 | 796144 | 2020-12-04 | Clarion | Pennsylvania | 42031 | 1144 | 11 |
796145 | 796145 | 2020-12-04 | Clearfield | Pennsylvania | 42033 | 2047 | 19 |
796146 | 796146 | 2020-12-04 | Clinton | Pennsylvania | 42035 | 850 | 12 |
796147 | 796147 | 2020-12-04 | Columbia | Pennsylvania | 42037 | 1584 | 51 |
796148 | 796148 | 2020-12-04 | Crawford | Pennsylvania | 42039 | 2284 | 27 |
796149 | 796149 | 2020-12-04 | Cumberland | Pennsylvania | 42041 | 5973 | 161 |
796150 | 796150 | 2020-12-04 | Dauphin | Pennsylvania | 42043 | 8618 | 224 |
796151 | 796151 | 2020-12-04 | Delaware | Pennsylvania | 42045 | 21560 | 873 |
796152 | 796152 | 2020-12-04 | Elk | Pennsylvania | 42047 | 613 | 8 |
796153 | 796153 | 2020-12-04 | Erie | Pennsylvania | 42049 | 6275 | 81 |
796154 | 796154 | 2020-12-04 | Fayette | Pennsylvania | 42051 | 2567 | 26 |
796155 | 796155 | 2020-12-04 | Forest | Pennsylvania | 42053 | 106 | 1 |
796156 | 796156 | 2020-12-04 | Franklin | Pennsylvania | 42055 | 5232 | 128 |
796157 | 796157 | 2020-12-04 | Fulton | Pennsylvania | 42057 | 356 | 7 |
796158 | 796158 | 2020-12-04 | Greene | Pennsylvania | 42059 | 841 | 5 |
796159 | 796159 | 2020-12-04 | Huntingdon | Pennsylvania | 42061 | 1874 | 62 |
796160 | 796160 | 2020-12-04 | Indiana | Pennsylvania | 42063 | 2797 | 51 |
796161 | 796161 | 2020-12-04 | Jefferson | Pennsylvania | 42065 | 984 | 7 |
796162 | 796162 | 2020-12-04 | Juniata | Pennsylvania | 42067 | 789 | 17 |
796163 | 796163 | 2020-12-04 | Lackawanna | Pennsylvania | 42069 | 5588 | 233 |
796164 | 796164 | 2020-12-04 | Lancaster | Pennsylvania | 42071 | 18478 | 545 |
796165 | 796165 | 2020-12-04 | Lawrence | Pennsylvania | 42073 | 2503 | 75 |
796166 | 796166 | 2020-12-04 | Lebanon | Pennsylvania | 42075 | 5891 | 119 |
796167 | 796167 | 2020-12-04 | Lehigh | Pennsylvania | 42077 | 12554 | 395 |
796168 | 796168 | 2020-12-04 | Luzerne | Pennsylvania | 42079 | 10758 | 309 |
796169 | 796169 | 2020-12-04 | Lycoming | Pennsylvania | 42081 | 2600 | 47 |
796170 | 796170 | 2020-12-04 | McKean | Pennsylvania | 42083 | 562 | 4 |
796171 | 796171 | 2020-12-04 | Mercer | Pennsylvania | 42085 | 3285 | 57 |
796172 | 796172 | 2020-12-04 | Mifflin | Pennsylvania | 42087 | 2054 | 47 |
796173 | 796173 | 2020-12-04 | Monroe | Pennsylvania | 42089 | 3802 | 158 |
796174 | 796174 | 2020-12-04 | Montgomery | Pennsylvania | 42091 | 23916 | 955 |
796175 | 796175 | 2020-12-04 | Montour | Pennsylvania | 42093 | 781 | 16 |
796176 | 796176 | 2020-12-04 | Northampton | Pennsylvania | 42095 | 10036 | 343 |
796177 | 796177 | 2020-12-04 | Northumberland | Pennsylvania | 42097 | 2940 | 139 |
796178 | 796178 | 2020-12-04 | Perry | Pennsylvania | 42099 | 778 | 14 |
796179 | 796179 | 2020-12-04 | Philadelphia | Pennsylvania | 42101 | 72314 | 2099 |
796180 | 796180 | 2020-12-04 | Pike | Pennsylvania | 42103 | 923 | 27 |
796181 | 796181 | 2020-12-04 | Potter | Pennsylvania | 42105 | 321 | 6 |
796182 | 796182 | 2020-12-04 | Schuylkill | Pennsylvania | 42107 | 4487 | 189 |
796183 | 796183 | 2020-12-04 | Snyder | Pennsylvania | 42109 | 1156 | 23 |
796184 | 796184 | 2020-12-04 | Somerset | Pennsylvania | 42111 | 2212 | 21 |
796185 | 796185 | 2020-12-04 | Sullivan | Pennsylvania | 42113 | 77 | 1 |
796186 | 796186 | 2020-12-04 | Susquehanna | Pennsylvania | 42115 | 654 | 36 |
796187 | 796187 | 2020-12-04 | Tioga | Pennsylvania | 42117 | 1163 | 28 |
796188 | 796188 | 2020-12-04 | Union | Pennsylvania | 42119 | 1829 | 19 |
796189 | 796189 | 2020-12-04 | Venango | Pennsylvania | 42121 | 1126 | 11 |
796190 | 796190 | 2020-12-04 | Warren | Pennsylvania | 42123 | 382 | 1 |
796191 | 796191 | 2020-12-04 | Washington | Pennsylvania | 42125 | 5115 | 75 |
796192 | 796192 | 2020-12-04 | Wayne | Pennsylvania | 42127 | 640 | 12 |
796193 | 796193 | 2020-12-04 | Westmoreland | Pennsylvania | 42129 | 10455 | 229 |
796194 | 796194 | 2020-12-04 | Wyoming | Pennsylvania | 42131 | 502 | 26 |
796195 | 796195 | 2020-12-04 | York | Pennsylvania | 42133 | 12777 | 260 |
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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);