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 2020-08-02 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 |
---|---|---|---|---|---|---|---|
394610 | 394610 | 2020-08-02 | Adams | Pennsylvania | 42001 | 474 | 20 |
394611 | 394611 | 2020-08-02 | Allegheny | Pennsylvania | 42003 | 8242 | 242 |
394612 | 394612 | 2020-08-02 | Armstrong | Pennsylvania | 42005 | 187 | 6 |
394613 | 394613 | 2020-08-02 | Beaver | Pennsylvania | 42007 | 1232 | 89 |
394614 | 394614 | 2020-08-02 | Bedford | Pennsylvania | 42009 | 130 | 4 |
394615 | 394615 | 2020-08-02 | Berks | Pennsylvania | 42011 | 5190 | 365 |
394616 | 394616 | 2020-08-02 | Blair | Pennsylvania | 42013 | 224 | 3 |
394617 | 394617 | 2020-08-02 | Bradford | Pennsylvania | 42015 | 81 | 3 |
394618 | 394618 | 2020-08-02 | Bucks | Pennsylvania | 42017 | 6995 | 579 |
394619 | 394619 | 2020-08-02 | Butler | Pennsylvania | 42019 | 602 | 15 |
394620 | 394620 | 2020-08-02 | Cambria | Pennsylvania | 42021 | 267 | 3 |
394621 | 394621 | 2020-08-02 | Cameron | Pennsylvania | 42023 | 6 | 0 |
394622 | 394622 | 2020-08-02 | Carbon | Pennsylvania | 42025 | 360 | 28 |
394623 | 394623 | 2020-08-02 | Centre | Pennsylvania | 42027 | 357 | 10 |
394624 | 394624 | 2020-08-02 | Chester | Pennsylvania | 42029 | 4890 | 349 |
394625 | 394625 | 2020-08-02 | Clarion | Pennsylvania | 42031 | 76 | 2 |
394626 | 394626 | 2020-08-02 | Clearfield | Pennsylvania | 42033 | 136 | 0 |
394627 | 394627 | 2020-08-02 | Clinton | Pennsylvania | 42035 | 115 | 5 |
394628 | 394628 | 2020-08-02 | Columbia | Pennsylvania | 42037 | 461 | 35 |
394629 | 394629 | 2020-08-02 | Crawford | Pennsylvania | 42039 | 127 | 1 |
394630 | 394630 | 2020-08-02 | Cumberland | Pennsylvania | 42041 | 1225 | 70 |
394631 | 394631 | 2020-08-02 | Dauphin | Pennsylvania | 42043 | 2657 | 155 |
394632 | 394632 | 2020-08-02 | Delaware | Pennsylvania | 42045 | 8804 | 730 |
394633 | 394633 | 2020-08-02 | Elk | Pennsylvania | 42047 | 44 | 2 |
394634 | 394634 | 2020-08-02 | Erie | Pennsylvania | 42049 | 967 | 16 |
394635 | 394635 | 2020-08-02 | Fayette | Pennsylvania | 42051 | 408 | 4 |
394636 | 394636 | 2020-08-02 | Forest | Pennsylvania | 42053 | 9 | 0 |
394637 | 394637 | 2020-08-02 | Franklin | Pennsylvania | 42055 | 1281 | 46 |
394638 | 394638 | 2020-08-02 | Fulton | Pennsylvania | 42057 | 24 | 2 |
394639 | 394639 | 2020-08-02 | Greene | Pennsylvania | 42059 | 108 | 1 |
394640 | 394640 | 2020-08-02 | Huntingdon | Pennsylvania | 42061 | 288 | 4 |
394641 | 394641 | 2020-08-02 | Indiana | Pennsylvania | 42063 | 272 | 6 |
394642 | 394642 | 2020-08-02 | Jefferson | Pennsylvania | 42065 | 58 | 1 |
394643 | 394643 | 2020-08-02 | Juniata | Pennsylvania | 42067 | 126 | 6 |
394644 | 394644 | 2020-08-02 | Lackawanna | Pennsylvania | 42069 | 1900 | 212 |
394645 | 394645 | 2020-08-02 | Lancaster | Pennsylvania | 42071 | 5654 | 407 |
394646 | 394646 | 2020-08-02 | Lawrence | Pennsylvania | 42073 | 343 | 12 |
394647 | 394647 | 2020-08-02 | Lebanon | Pennsylvania | 42075 | 1571 | 54 |
394648 | 394648 | 2020-08-02 | Lehigh | Pennsylvania | 42077 | 4849 | 335 |
394649 | 394649 | 2020-08-02 | Luzerne | Pennsylvania | 42079 | 3324 | 183 |
394650 | 394650 | 2020-08-02 | Lycoming | Pennsylvania | 42081 | 337 | 20 |
394651 | 394651 | 2020-08-02 | McKean | Pennsylvania | 42083 | 28 | 1 |
394652 | 394652 | 2020-08-02 | Mercer | Pennsylvania | 42085 | 348 | 9 |
394653 | 394653 | 2020-08-02 | Mifflin | Pennsylvania | 42087 | 106 | 1 |
394654 | 394654 | 2020-08-02 | Monroe | Pennsylvania | 42089 | 1591 | 123 |
394655 | 394655 | 2020-08-02 | Montgomery | Pennsylvania | 42091 | 9835 | 850 |
394656 | 394656 | 2020-08-02 | Montour | Pennsylvania | 42093 | 93 | 3 |
394657 | 394657 | 2020-08-02 | Northampton | Pennsylvania | 42095 | 3860 | 290 |
394658 | 394658 | 2020-08-02 | Northumberland | Pennsylvania | 42097 | 403 | 11 |
394659 | 394659 | 2020-08-02 | Perry | Pennsylvania | 42099 | 120 | 5 |
394660 | 394660 | 2020-08-02 | Philadelphia | Pennsylvania | 42101 | 30354 | 1690 |
394661 | 394661 | 2020-08-02 | Pike | Pennsylvania | 42103 | 525 | 21 |
394662 | 394662 | 2020-08-02 | Potter | Pennsylvania | 42105 | 20 | 0 |
394663 | 394663 | 2020-08-02 | Schuylkill | Pennsylvania | 42107 | 892 | 49 |
394664 | 394664 | 2020-08-02 | Snyder | Pennsylvania | 42109 | 97 | 2 |
394665 | 394665 | 2020-08-02 | Somerset | Pennsylvania | 42111 | 124 | 2 |
394666 | 394666 | 2020-08-02 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
394667 | 394667 | 2020-08-02 | Susquehanna | Pennsylvania | 42115 | 210 | 26 |
394668 | 394668 | 2020-08-02 | Tioga | Pennsylvania | 42117 | 35 | 2 |
394669 | 394669 | 2020-08-02 | Union | Pennsylvania | 42119 | 172 | 2 |
394670 | 394670 | 2020-08-02 | Venango | Pennsylvania | 42121 | 62 | 0 |
394671 | 394671 | 2020-08-02 | Warren | Pennsylvania | 42123 | 18 | 1 |
394672 | 394672 | 2020-08-02 | Washington | Pennsylvania | 42125 | 756 | 11 |
394673 | 394673 | 2020-08-02 | Wayne | Pennsylvania | 42127 | 158 | 8 |
394674 | 394674 | 2020-08-02 | Westmoreland | Pennsylvania | 42129 | 1438 | 46 |
394675 | 394675 | 2020-08-02 | Wyoming | Pennsylvania | 42131 | 57 | 8 |
394676 | 394676 | 2020-08-02 | York | Pennsylvania | 42133 | 2325 | 88 |
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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);