ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where date = "2020-09-02" and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
494627 | 494627 | 2020-09-02 | Adams | Pennsylvania | 42001 | 680 | 23 |
494628 | 494628 | 2020-09-02 | Allegheny | Pennsylvania | 42003 | 10444 | 343 |
494629 | 494629 | 2020-09-02 | Armstrong | Pennsylvania | 42005 | 324 | 10 |
494630 | 494630 | 2020-09-02 | Beaver | Pennsylvania | 42007 | 1630 | 98 |
494631 | 494631 | 2020-09-02 | Bedford | Pennsylvania | 42009 | 172 | 5 |
494632 | 494632 | 2020-09-02 | Berks | Pennsylvania | 42011 | 6129 | 382 |
494633 | 494633 | 2020-09-02 | Blair | Pennsylvania | 42013 | 468 | 11 |
494634 | 494634 | 2020-09-02 | Bradford | Pennsylvania | 42015 | 99 | 3 |
494635 | 494635 | 2020-09-02 | Bucks | Pennsylvania | 42017 | 7856 | 587 |
494636 | 494636 | 2020-09-02 | Butler | Pennsylvania | 42019 | 801 | 19 |
494637 | 494637 | 2020-09-02 | Cambria | Pennsylvania | 42021 | 473 | 5 |
494638 | 494638 | 2020-09-02 | Cameron | Pennsylvania | 42023 | 8 | 0 |
494639 | 494639 | 2020-09-02 | Carbon | Pennsylvania | 42025 | 425 | 28 |
494640 | 494640 | 2020-09-02 | Centre | Pennsylvania | 42027 | 538 | 11 |
494641 | 494641 | 2020-09-02 | Chester | Pennsylvania | 42029 | 5748 | 358 |
494642 | 494642 | 2020-09-02 | Clarion | Pennsylvania | 42031 | 98 | 3 |
494643 | 494643 | 2020-09-02 | Clearfield | Pennsylvania | 42033 | 235 | 1 |
494644 | 494644 | 2020-09-02 | Clinton | Pennsylvania | 42035 | 143 | 5 |
494645 | 494645 | 2020-09-02 | Columbia | Pennsylvania | 42037 | 692 | 35 |
494646 | 494646 | 2020-09-02 | Crawford | Pennsylvania | 42039 | 218 | 2 |
494647 | 494647 | 2020-09-02 | Cumberland | Pennsylvania | 42041 | 1553 | 72 |
494648 | 494648 | 2020-09-02 | Dauphin | Pennsylvania | 42043 | 3372 | 165 |
494649 | 494649 | 2020-09-02 | Delaware | Pennsylvania | 42045 | 10524 | 774 |
494650 | 494650 | 2020-09-02 | Elk | Pennsylvania | 42047 | 65 | 2 |
494651 | 494651 | 2020-09-02 | Erie | Pennsylvania | 42049 | 1369 | 35 |
494652 | 494652 | 2020-09-02 | Fayette | Pennsylvania | 42051 | 699 | 6 |
494653 | 494653 | 2020-09-02 | Forest | Pennsylvania | 42053 | 14 | 0 |
494654 | 494654 | 2020-09-02 | Franklin | Pennsylvania | 42055 | 1540 | 47 |
494655 | 494655 | 2020-09-02 | Fulton | Pennsylvania | 42057 | 36 | 2 |
494656 | 494656 | 2020-09-02 | Greene | Pennsylvania | 42059 | 140 | 1 |
494657 | 494657 | 2020-09-02 | Huntingdon | Pennsylvania | 42061 | 373 | 5 |
494658 | 494658 | 2020-09-02 | Indiana | Pennsylvania | 42063 | 440 | 10 |
494659 | 494659 | 2020-09-02 | Jefferson | Pennsylvania | 42065 | 97 | 1 |
494660 | 494660 | 2020-09-02 | Juniata | Pennsylvania | 42067 | 151 | 6 |
494661 | 494661 | 2020-09-02 | Lackawanna | Pennsylvania | 42069 | 2117 | 214 |
494662 | 494662 | 2020-09-02 | Lancaster | Pennsylvania | 42071 | 6867 | 434 |
494663 | 494663 | 2020-09-02 | Lawrence | Pennsylvania | 42073 | 466 | 18 |
494664 | 494664 | 2020-09-02 | Lebanon | Pennsylvania | 42075 | 1739 | 57 |
494665 | 494665 | 2020-09-02 | Lehigh | Pennsylvania | 42077 | 5223 | 344 |
494666 | 494666 | 2020-09-02 | Luzerne | Pennsylvania | 42079 | 3801 | 188 |
494667 | 494667 | 2020-09-02 | Lycoming | Pennsylvania | 42081 | 531 | 23 |
494668 | 494668 | 2020-09-02 | McKean | Pennsylvania | 42083 | 40 | 2 |
494669 | 494669 | 2020-09-02 | Mercer | Pennsylvania | 42085 | 553 | 13 |
494670 | 494670 | 2020-09-02 | Mifflin | Pennsylvania | 42087 | 163 | 1 |
494671 | 494671 | 2020-09-02 | Monroe | Pennsylvania | 42089 | 1720 | 129 |
494672 | 494672 | 2020-09-02 | Montgomery | Pennsylvania | 42091 | 11126 | 863 |
494673 | 494673 | 2020-09-02 | Montour | Pennsylvania | 42093 | 137 | 5 |
494674 | 494674 | 2020-09-02 | Northampton | Pennsylvania | 42095 | 4130 | 301 |
494675 | 494675 | 2020-09-02 | Northumberland | Pennsylvania | 42097 | 703 | 35 |
494676 | 494676 | 2020-09-02 | Perry | Pennsylvania | 42099 | 178 | 5 |
494677 | 494677 | 2020-09-02 | Philadelphia | Pennsylvania | 42101 | 34144 | 1769 |
494678 | 494678 | 2020-09-02 | Pike | Pennsylvania | 42103 | 544 | 21 |
494679 | 494679 | 2020-09-02 | Potter | Pennsylvania | 42105 | 25 | 0 |
494680 | 494680 | 2020-09-02 | Schuylkill | Pennsylvania | 42107 | 996 | 51 |
494681 | 494681 | 2020-09-02 | Snyder | Pennsylvania | 42109 | 167 | 2 |
494682 | 494682 | 2020-09-02 | Somerset | Pennsylvania | 42111 | 172 | 3 |
494683 | 494683 | 2020-09-02 | Sullivan | Pennsylvania | 42113 | 10 | 0 |
494684 | 494684 | 2020-09-02 | Susquehanna | Pennsylvania | 42115 | 270 | 27 |
494685 | 494685 | 2020-09-02 | Tioga | Pennsylvania | 42117 | 49 | 3 |
494686 | 494686 | 2020-09-02 | Union | Pennsylvania | 42119 | 390 | 6 |
494687 | 494687 | 2020-09-02 | Venango | Pennsylvania | 42121 | 70 | 1 |
494688 | 494688 | 2020-09-02 | Warren | Pennsylvania | 42123 | 31 | 1 |
494689 | 494689 | 2020-09-02 | Washington | Pennsylvania | 42125 | 1086 | 27 |
494690 | 494690 | 2020-09-02 | Wayne | Pennsylvania | 42127 | 181 | 10 |
494691 | 494691 | 2020-09-02 | Westmoreland | Pennsylvania | 42129 | 1837 | 49 |
494692 | 494692 | 2020-09-02 | Wyoming | Pennsylvania | 42131 | 67 | 8 |
494693 | 494693 | 2020-09-02 | York | Pennsylvania | 42133 | 3490 | 127 |
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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);