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 191
- 42127 191
- 42091 190
- 42089 188
- 42101 187
- 42017 186
- 42095 185
- 42103 185
- 42029 184
- 42041 184
- 42125 184
- 42003 183
- 42077 182
- 42079 182
- 42007 180
- 42001 179
- 42011 179
- 42069 179
- 42133 179
- 42071 178
- 42075 178
- 42129 178
- 42027 177
- 42049 177
- 42055 177
- 42105 177
- 42019 176
- 42093 176
- 42037 175
- 42043 175
- …
county >30
- Delaware 191
- Wayne 191
- Montgomery 190
- Monroe 188
- Philadelphia 187
- Bucks 186
- Northampton 185
- Pike 185
- Chester 184
- Cumberland 184
- Washington 184
- Allegheny 183
- Lehigh 182
- Luzerne 182
- Beaver 180
- Adams 179
- Berks 179
- Lackawanna 179
- York 179
- Lancaster 178
- Lebanon 178
- Westmoreland 178
- Centre 177
- Erie 177
- Franklin 177
- Potter 177
- Butler 176
- Montour 176
- Columbia 175
- Dauphin 175
- …
state 1
- Pennsylvania · 11,705 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
526969 | 526969 | 2020-09-12 | Adams | Pennsylvania | 42001 | 734 | 24 |
526970 | 526970 | 2020-09-12 | Allegheny | Pennsylvania | 42003 | 11126 | 362 |
526971 | 526971 | 2020-09-12 | Armstrong | Pennsylvania | 42005 | 380 | 13 |
526972 | 526972 | 2020-09-12 | Beaver | Pennsylvania | 42007 | 1767 | 106 |
526973 | 526973 | 2020-09-12 | Bedford | Pennsylvania | 42009 | 202 | 6 |
526974 | 526974 | 2020-09-12 | Berks | Pennsylvania | 42011 | 6521 | 385 |
526975 | 526975 | 2020-09-12 | Blair | Pennsylvania | 42013 | 517 | 13 |
526976 | 526976 | 2020-09-12 | Bradford | Pennsylvania | 42015 | 104 | 3 |
526977 | 526977 | 2020-09-12 | Bucks | Pennsylvania | 42017 | 8229 | 594 |
526978 | 526978 | 2020-09-12 | Butler | Pennsylvania | 42019 | 932 | 21 |
526979 | 526979 | 2020-09-12 | Cambria | Pennsylvania | 42021 | 518 | 6 |
526980 | 526980 | 2020-09-12 | Cameron | Pennsylvania | 42023 | 8 | 0 |
526981 | 526981 | 2020-09-12 | Carbon | Pennsylvania | 42025 | 436 | 28 |
526982 | 526982 | 2020-09-12 | Centre | Pennsylvania | 42027 | 1135 | 11 |
526983 | 526983 | 2020-09-12 | Chester | Pennsylvania | 42029 | 6187 | 362 |
526984 | 526984 | 2020-09-12 | Clarion | Pennsylvania | 42031 | 110 | 3 |
526985 | 526985 | 2020-09-12 | Clearfield | Pennsylvania | 42033 | 271 | 1 |
526986 | 526986 | 2020-09-12 | Clinton | Pennsylvania | 42035 | 169 | 5 |
526987 | 526987 | 2020-09-12 | Columbia | Pennsylvania | 42037 | 836 | 35 |
526988 | 526988 | 2020-09-12 | Crawford | Pennsylvania | 42039 | 245 | 2 |
526989 | 526989 | 2020-09-12 | Cumberland | Pennsylvania | 42041 | 1661 | 73 |
526990 | 526990 | 2020-09-12 | Dauphin | Pennsylvania | 42043 | 3559 | 169 |
526991 | 526991 | 2020-09-12 | Delaware | Pennsylvania | 42045 | 10857 | 780 |
526992 | 526992 | 2020-09-12 | Elk | Pennsylvania | 42047 | 66 | 2 |
526993 | 526993 | 2020-09-12 | Erie | Pennsylvania | 42049 | 1421 | 37 |
526994 | 526994 | 2020-09-12 | Fayette | Pennsylvania | 42051 | 740 | 7 |
526995 | 526995 | 2020-09-12 | Forest | Pennsylvania | 42053 | 14 | 0 |
526996 | 526996 | 2020-09-12 | Franklin | Pennsylvania | 42055 | 1642 | 49 |
526997 | 526997 | 2020-09-12 | Fulton | Pennsylvania | 42057 | 40 | 2 |
526998 | 526998 | 2020-09-12 | Greene | Pennsylvania | 42059 | 159 | 1 |
526999 | 526999 | 2020-09-12 | Huntingdon | Pennsylvania | 42061 | 393 | 6 |
527000 | 527000 | 2020-09-12 | Indiana | Pennsylvania | 42063 | 523 | 11 |
527001 | 527001 | 2020-09-12 | Jefferson | Pennsylvania | 42065 | 101 | 2 |
527002 | 527002 | 2020-09-12 | Juniata | Pennsylvania | 42067 | 164 | 6 |
527003 | 527003 | 2020-09-12 | Lackawanna | Pennsylvania | 42069 | 2301 | 214 |
527004 | 527004 | 2020-09-12 | Lancaster | Pennsylvania | 42071 | 7273 | 445 |
527005 | 527005 | 2020-09-12 | Lawrence | Pennsylvania | 42073 | 481 | 21 |
527006 | 527006 | 2020-09-12 | Lebanon | Pennsylvania | 42075 | 1814 | 57 |
527007 | 527007 | 2020-09-12 | Lehigh | Pennsylvania | 42077 | 5366 | 345 |
527008 | 527008 | 2020-09-12 | Luzerne | Pennsylvania | 42079 | 3941 | 189 |
527009 | 527009 | 2020-09-12 | Lycoming | Pennsylvania | 42081 | 585 | 23 |
527010 | 527010 | 2020-09-12 | McKean | Pennsylvania | 42083 | 47 | 2 |
527011 | 527011 | 2020-09-12 | Mercer | Pennsylvania | 42085 | 636 | 13 |
527012 | 527012 | 2020-09-12 | Mifflin | Pennsylvania | 42087 | 189 | 1 |
527013 | 527013 | 2020-09-12 | Monroe | Pennsylvania | 42089 | 1753 | 129 |
527014 | 527014 | 2020-09-12 | Montgomery | Pennsylvania | 42091 | 11578 | 867 |
527015 | 527015 | 2020-09-12 | Montour | Pennsylvania | 42093 | 160 | 5 |
527016 | 527016 | 2020-09-12 | Northampton | Pennsylvania | 42095 | 4224 | 302 |
527017 | 527017 | 2020-09-12 | Northumberland | Pennsylvania | 42097 | 799 | 43 |
527018 | 527018 | 2020-09-12 | Perry | Pennsylvania | 42099 | 186 | 6 |
527019 | 527019 | 2020-09-12 | Philadelphia | Pennsylvania | 42101 | 35094 | 1784 |
527020 | 527020 | 2020-09-12 | Pike | Pennsylvania | 42103 | 554 | 21 |
527021 | 527021 | 2020-09-12 | Potter | Pennsylvania | 42105 | 25 | 0 |
527022 | 527022 | 2020-09-12 | Schuylkill | Pennsylvania | 42107 | 1029 | 51 |
527023 | 527023 | 2020-09-12 | Snyder | Pennsylvania | 42109 | 203 | 3 |
527024 | 527024 | 2020-09-12 | Somerset | Pennsylvania | 42111 | 195 | 3 |
527025 | 527025 | 2020-09-12 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
527026 | 527026 | 2020-09-12 | Susquehanna | Pennsylvania | 42115 | 286 | 28 |
527027 | 527027 | 2020-09-12 | Tioga | Pennsylvania | 42117 | 51 | 3 |
527028 | 527028 | 2020-09-12 | Union | Pennsylvania | 42119 | 425 | 6 |
527029 | 527029 | 2020-09-12 | Venango | Pennsylvania | 42121 | 74 | 1 |
527030 | 527030 | 2020-09-12 | Warren | Pennsylvania | 42123 | 40 | 1 |
527031 | 527031 | 2020-09-12 | Washington | Pennsylvania | 42125 | 1190 | 28 |
527032 | 527032 | 2020-09-12 | Wayne | Pennsylvania | 42127 | 201 | 10 |
527033 | 527033 | 2020-09-12 | Westmoreland | Pennsylvania | 42129 | 1962 | 49 |
527034 | 527034 | 2020-09-12 | Wyoming | Pennsylvania | 42131 | 72 | 8 |
527035 | 527035 | 2020-09-12 | York | Pennsylvania | 42133 | 4124 | 132 |
523733 | 523733 | 2020-09-11 | Adams | Pennsylvania | 42001 | 723 | 24 |
523734 | 523734 | 2020-09-11 | Allegheny | Pennsylvania | 42003 | 11069 | 361 |
523735 | 523735 | 2020-09-11 | Armstrong | Pennsylvania | 42005 | 378 | 13 |
523736 | 523736 | 2020-09-11 | Beaver | Pennsylvania | 42007 | 1757 | 106 |
523737 | 523737 | 2020-09-11 | Bedford | Pennsylvania | 42009 | 199 | 6 |
523738 | 523738 | 2020-09-11 | Berks | Pennsylvania | 42011 | 6442 | 385 |
523739 | 523739 | 2020-09-11 | Blair | Pennsylvania | 42013 | 511 | 13 |
523740 | 523740 | 2020-09-11 | Bradford | Pennsylvania | 42015 | 103 | 3 |
523741 | 523741 | 2020-09-11 | Bucks | Pennsylvania | 42017 | 8198 | 594 |
523742 | 523742 | 2020-09-11 | Butler | Pennsylvania | 42019 | 923 | 21 |
523743 | 523743 | 2020-09-11 | Cambria | Pennsylvania | 42021 | 515 | 6 |
523744 | 523744 | 2020-09-11 | Cameron | Pennsylvania | 42023 | 8 | 0 |
523745 | 523745 | 2020-09-11 | Carbon | Pennsylvania | 42025 | 436 | 28 |
523746 | 523746 | 2020-09-11 | Centre | Pennsylvania | 42027 | 1062 | 11 |
523747 | 523747 | 2020-09-11 | Chester | Pennsylvania | 42029 | 6187 | 362 |
523748 | 523748 | 2020-09-11 | Clarion | Pennsylvania | 42031 | 107 | 3 |
523749 | 523749 | 2020-09-11 | Clearfield | Pennsylvania | 42033 | 270 | 1 |
523750 | 523750 | 2020-09-11 | Clinton | Pennsylvania | 42035 | 166 | 5 |
523751 | 523751 | 2020-09-11 | Columbia | Pennsylvania | 42037 | 831 | 35 |
523752 | 523752 | 2020-09-11 | Crawford | Pennsylvania | 42039 | 245 | 2 |
523753 | 523753 | 2020-09-11 | Cumberland | Pennsylvania | 42041 | 1649 | 73 |
523754 | 523754 | 2020-09-11 | Dauphin | Pennsylvania | 42043 | 3543 | 169 |
523755 | 523755 | 2020-09-11 | Delaware | Pennsylvania | 42045 | 10852 | 780 |
523756 | 523756 | 2020-09-11 | Elk | Pennsylvania | 42047 | 65 | 2 |
523757 | 523757 | 2020-09-11 | Erie | Pennsylvania | 42049 | 1411 | 37 |
523758 | 523758 | 2020-09-11 | Fayette | Pennsylvania | 42051 | 733 | 7 |
523759 | 523759 | 2020-09-11 | Forest | Pennsylvania | 42053 | 14 | 0 |
523760 | 523760 | 2020-09-11 | Franklin | Pennsylvania | 42055 | 1633 | 49 |
523761 | 523761 | 2020-09-11 | Fulton | Pennsylvania | 42057 | 39 | 2 |
523762 | 523762 | 2020-09-11 | Greene | Pennsylvania | 42059 | 156 | 1 |
523763 | 523763 | 2020-09-11 | Huntingdon | Pennsylvania | 42061 | 392 | 6 |
523764 | 523764 | 2020-09-11 | Indiana | Pennsylvania | 42063 | 505 | 11 |
523765 | 523765 | 2020-09-11 | Jefferson | Pennsylvania | 42065 | 101 | 2 |
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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);