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 2020-05-26 and state = "Pennsylvania" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
180610 | 180610 | 2020-05-26 | Adams | Pennsylvania | 42001 | 233 | 7 |
180611 | 180611 | 2020-05-26 | Allegheny | Pennsylvania | 42003 | 1816 | 160 |
180612 | 180612 | 2020-05-26 | Armstrong | Pennsylvania | 42005 | 59 | 3 |
180613 | 180613 | 2020-05-26 | Beaver | Pennsylvania | 42007 | 570 | 72 |
180614 | 180614 | 2020-05-26 | Bedford | Pennsylvania | 42009 | 37 | 2 |
180615 | 180615 | 2020-05-26 | Berks | Pennsylvania | 42011 | 3919 | 296 |
180616 | 180616 | 2020-05-26 | Blair | Pennsylvania | 42013 | 48 | 1 |
180617 | 180617 | 2020-05-26 | Bradford | Pennsylvania | 42015 | 45 | 3 |
180618 | 180618 | 2020-05-26 | Bucks | Pennsylvania | 42017 | 4916 | 461 |
180619 | 180619 | 2020-05-26 | Butler | Pennsylvania | 42019 | 220 | 12 |
180620 | 180620 | 2020-05-26 | Cambria | Pennsylvania | 42021 | 57 | 2 |
180621 | 180621 | 2020-05-26 | Cameron | Pennsylvania | 42023 | 2 | 0 |
180622 | 180622 | 2020-05-26 | Carbon | Pennsylvania | 42025 | 231 | 22 |
180623 | 180623 | 2020-05-26 | Centre | Pennsylvania | 42027 | 148 | 6 |
180624 | 180624 | 2020-05-26 | Chester | Pennsylvania | 42029 | 2497 | 252 |
180625 | 180625 | 2020-05-26 | Clarion | Pennsylvania | 42031 | 29 | 2 |
180626 | 180626 | 2020-05-26 | Clearfield | Pennsylvania | 42033 | 37 | 0 |
180627 | 180627 | 2020-05-26 | Clinton | Pennsylvania | 42035 | 54 | 1 |
180628 | 180628 | 2020-05-26 | Columbia | Pennsylvania | 42037 | 343 | 31 |
180629 | 180629 | 2020-05-26 | Crawford | Pennsylvania | 42039 | 22 | 0 |
180630 | 180630 | 2020-05-26 | Cumberland | Pennsylvania | 42041 | 602 | 46 |
180631 | 180631 | 2020-05-26 | Dauphin | Pennsylvania | 42043 | 1137 | 63 |
180632 | 180632 | 2020-05-26 | Delaware | Pennsylvania | 42045 | 6295 | 524 |
180633 | 180633 | 2020-05-26 | Elk | Pennsylvania | 42047 | 6 | 0 |
180634 | 180634 | 2020-05-26 | Erie | Pennsylvania | 42049 | 223 | 4 |
180635 | 180635 | 2020-05-26 | Fayette | Pennsylvania | 42051 | 95 | 4 |
180636 | 180636 | 2020-05-26 | Forest | Pennsylvania | 42053 | 7 | 0 |
180637 | 180637 | 2020-05-26 | Franklin | Pennsylvania | 42055 | 746 | 29 |
180638 | 180638 | 2020-05-26 | Fulton | Pennsylvania | 42057 | 15 | 1 |
180639 | 180639 | 2020-05-26 | Greene | Pennsylvania | 42059 | 27 | 0 |
180640 | 180640 | 2020-05-26 | Huntingdon | Pennsylvania | 42061 | 228 | 1 |
180641 | 180641 | 2020-05-26 | Indiana | Pennsylvania | 42063 | 89 | 5 |
180642 | 180642 | 2020-05-26 | Jefferson | Pennsylvania | 42065 | 7 | 0 |
180643 | 180643 | 2020-05-26 | Juniata | Pennsylvania | 42067 | 95 | 4 |
180644 | 180644 | 2020-05-26 | Lackawanna | Pennsylvania | 42069 | 1503 | 155 |
180645 | 180645 | 2020-05-26 | Lancaster | Pennsylvania | 42071 | 2985 | 283 |
180646 | 180646 | 2020-05-26 | Lawrence | Pennsylvania | 42073 | 74 | 8 |
180647 | 180647 | 2020-05-26 | Lebanon | Pennsylvania | 42075 | 922 | 27 |
180648 | 180648 | 2020-05-26 | Lehigh | Pennsylvania | 42077 | 3676 | 210 |
180649 | 180649 | 2020-05-26 | Luzerne | Pennsylvania | 42079 | 2662 | 135 |
180650 | 180650 | 2020-05-26 | Lycoming | Pennsylvania | 42081 | 161 | 14 |
180651 | 180651 | 2020-05-26 | McKean | Pennsylvania | 42083 | 12 | 1 |
180652 | 180652 | 2020-05-26 | Mercer | Pennsylvania | 42085 | 105 | 4 |
180653 | 180653 | 2020-05-26 | Mifflin | Pennsylvania | 42087 | 58 | 1 |
180654 | 180654 | 2020-05-26 | Monroe | Pennsylvania | 42089 | 1305 | 99 |
180655 | 180655 | 2020-05-26 | Montgomery | Pennsylvania | 42091 | 6598 | 635 |
180656 | 180656 | 2020-05-26 | Montour | Pennsylvania | 42093 | 50 | 0 |
180657 | 180657 | 2020-05-26 | Northampton | Pennsylvania | 42095 | 2933 | 199 |
180658 | 180658 | 2020-05-26 | Northumberland | Pennsylvania | 42097 | 177 | 3 |
180659 | 180659 | 2020-05-26 | Perry | Pennsylvania | 42099 | 48 | 1 |
180660 | 180660 | 2020-05-26 | Philadelphia | Pennsylvania | 42101 | 21738 | 1243 |
180661 | 180661 | 2020-05-26 | Pike | Pennsylvania | 42103 | 476 | 18 |
180662 | 180662 | 2020-05-26 | Potter | Pennsylvania | 42105 | 4 | 0 |
180663 | 180663 | 2020-05-26 | Schuylkill | Pennsylvania | 42107 | 600 | 27 |
180664 | 180664 | 2020-05-26 | Snyder | Pennsylvania | 42109 | 38 | 1 |
180665 | 180665 | 2020-05-26 | Somerset | Pennsylvania | 42111 | 37 | 0 |
180666 | 180666 | 2020-05-26 | Sullivan | Pennsylvania | 42113 | 2 | 0 |
180667 | 180667 | 2020-05-26 | Susquehanna | Pennsylvania | 42115 | 97 | 15 |
180668 | 180668 | 2020-05-26 | Tioga | Pennsylvania | 42117 | 16 | 2 |
180669 | 180669 | 2020-05-26 | Union | Pennsylvania | 42119 | 56 | 1 |
180670 | 180670 | 2020-05-26 | Venango | Pennsylvania | 42121 | 8 | 0 |
180671 | 180671 | 2020-05-26 | Warren | Pennsylvania | 42123 | 3 | 0 |
180672 | 180672 | 2020-05-26 | Washington | Pennsylvania | 42125 | 138 | 5 |
180673 | 180673 | 2020-05-26 | Wayne | Pennsylvania | 42127 | 118 | 7 |
180674 | 180674 | 2020-05-26 | Westmoreland | Pennsylvania | 42129 | 442 | 38 |
180675 | 180675 | 2020-05-26 | Wyoming | Pennsylvania | 42131 | 33 | 7 |
180676 | 180676 | 2020-05-26 | York | Pennsylvania | 42133 | 943 | 22 |
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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);