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 2020-04-17 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
66580 | 66580 | 2020-04-17 | Adams | Pennsylvania | 42001 | 70 | 1 |
66581 | 66581 | 2020-04-17 | Allegheny | Pennsylvania | 42003 | 947 | 43 |
66582 | 66582 | 2020-04-17 | Armstrong | Pennsylvania | 42005 | 32 | 2 |
66583 | 66583 | 2020-04-17 | Beaver | Pennsylvania | 42007 | 178 | 15 |
66584 | 66584 | 2020-04-17 | Bedford | Pennsylvania | 42009 | 13 | 1 |
66585 | 66585 | 2020-04-17 | Berks | Pennsylvania | 42011 | 1537 | 34 |
66586 | 66586 | 2020-04-17 | Blair | Pennsylvania | 42013 | 14 | 0 |
66587 | 66587 | 2020-04-17 | Bradford | Pennsylvania | 42015 | 20 | 0 |
66588 | 66588 | 2020-04-17 | Bucks | Pennsylvania | 42017 | 1689 | 77 |
66589 | 66589 | 2020-04-17 | Butler | Pennsylvania | 42019 | 157 | 5 |
66590 | 66590 | 2020-04-17 | Cambria | Pennsylvania | 42021 | 14 | 1 |
66591 | 66591 | 2020-04-17 | Cameron | Pennsylvania | 42023 | 1 | 0 |
66592 | 66592 | 2020-04-17 | Carbon | Pennsylvania | 42025 | 118 | 7 |
66593 | 66593 | 2020-04-17 | Centre | Pennsylvania | 42027 | 73 | 1 |
66594 | 66594 | 2020-04-17 | Chester | Pennsylvania | 42029 | 773 | 30 |
66595 | 66595 | 2020-04-17 | Clarion | Pennsylvania | 42031 | 18 | 0 |
66596 | 66596 | 2020-04-17 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
66597 | 66597 | 2020-04-17 | Clinton | Pennsylvania | 42035 | 10 | 0 |
66598 | 66598 | 2020-04-17 | Columbia | Pennsylvania | 42037 | 166 | 3 |
66599 | 66599 | 2020-04-17 | Crawford | Pennsylvania | 42039 | 16 | 0 |
66600 | 66600 | 2020-04-17 | Cumberland | Pennsylvania | 42041 | 154 | 4 |
66601 | 66601 | 2020-04-17 | Dauphin | Pennsylvania | 42043 | 311 | 7 |
66602 | 66602 | 2020-04-17 | Delaware | Pennsylvania | 42045 | 2281 | 74 |
66603 | 66603 | 2020-04-17 | Elk | Pennsylvania | 42047 | 2 | 0 |
66604 | 66604 | 2020-04-17 | Erie | Pennsylvania | 42049 | 49 | 1 |
66605 | 66605 | 2020-04-17 | Fayette | Pennsylvania | 42051 | 66 | 3 |
66606 | 66606 | 2020-04-17 | Forest | Pennsylvania | 42053 | 7 | 0 |
66607 | 66607 | 2020-04-17 | Franklin | Pennsylvania | 42055 | 89 | 0 |
66608 | 66608 | 2020-04-17 | Fulton | Pennsylvania | 42057 | 2 | 0 |
66609 | 66609 | 2020-04-17 | Greene | Pennsylvania | 42059 | 24 | 0 |
66610 | 66610 | 2020-04-17 | Huntingdon | Pennsylvania | 42061 | 12 | 0 |
66611 | 66611 | 2020-04-17 | Indiana | Pennsylvania | 42063 | 45 | 3 |
66612 | 66612 | 2020-04-17 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
66613 | 66613 | 2020-04-17 | Juniata | Pennsylvania | 42067 | 63 | 0 |
66614 | 66614 | 2020-04-17 | Lackawanna | Pennsylvania | 42069 | 592 | 30 |
66615 | 66615 | 2020-04-17 | Lancaster | Pennsylvania | 42071 | 1030 | 85 |
66616 | 66616 | 2020-04-17 | Lawrence | Pennsylvania | 42073 | 59 | 5 |
66617 | 66617 | 2020-04-17 | Lebanon | Pennsylvania | 42075 | 424 | 2 |
66618 | 66618 | 2020-04-17 | Lehigh | Pennsylvania | 42077 | 2092 | 29 |
66619 | 66619 | 2020-04-17 | Luzerne | Pennsylvania | 42079 | 1668 | 31 |
66620 | 66620 | 2020-04-17 | Lycoming | Pennsylvania | 42081 | 32 | 0 |
66621 | 66621 | 2020-04-17 | McKean | Pennsylvania | 42083 | 4 | 0 |
66622 | 66622 | 2020-04-17 | Mercer | Pennsylvania | 42085 | 56 | 1 |
66623 | 66623 | 2020-04-17 | Mifflin | Pennsylvania | 42087 | 17 | 0 |
66624 | 66624 | 2020-04-17 | Monroe | Pennsylvania | 42089 | 929 | 29 |
66625 | 66625 | 2020-04-17 | Montgomery | Pennsylvania | 42091 | 2684 | 135 |
66626 | 66626 | 2020-04-17 | Montour | Pennsylvania | 42093 | 48 | 0 |
66627 | 66627 | 2020-04-17 | Northampton | Pennsylvania | 42095 | 1335 | 27 |
66628 | 66628 | 2020-04-17 | Northumberland | Pennsylvania | 42097 | 60 | 0 |
66629 | 66629 | 2020-04-17 | Perry | Pennsylvania | 42099 | 18 | 1 |
66630 | 66630 | 2020-04-17 | Philadelphia | Pennsylvania | 42101 | 8563 | 298 |
66631 | 66631 | 2020-04-17 | Pike | Pennsylvania | 42103 | 290 | 8 |
66632 | 66632 | 2020-04-17 | Potter | Pennsylvania | 42105 | 4 | 0 |
66633 | 66633 | 2020-04-17 | Schuylkill | Pennsylvania | 42107 | 244 | 4 |
66634 | 66634 | 2020-04-17 | Snyder | Pennsylvania | 42109 | 25 | 1 |
66635 | 66635 | 2020-04-17 | Somerset | Pennsylvania | 42111 | 15 | 0 |
66636 | 66636 | 2020-04-17 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
66637 | 66637 | 2020-04-17 | Susquehanna | Pennsylvania | 42115 | 58 | 1 |
66638 | 66638 | 2020-04-17 | Tioga | Pennsylvania | 42117 | 14 | 1 |
66639 | 66639 | 2020-04-17 | Union | Pennsylvania | 42119 | 26 | 0 |
66640 | 66640 | 2020-04-17 | Venango | Pennsylvania | 42121 | 6 | 0 |
66641 | 66641 | 2020-04-17 | Warren | Pennsylvania | 42123 | 1 | 0 |
66642 | 66642 | 2020-04-17 | Washington | Pennsylvania | 42125 | 75 | 1 |
66643 | 66643 | 2020-04-17 | Wayne | Pennsylvania | 42127 | 81 | 2 |
66644 | 66644 | 2020-04-17 | Westmoreland | Pennsylvania | 42129 | 249 | 19 |
66645 | 66645 | 2020-04-17 | Wyoming | Pennsylvania | 42131 | 16 | 1 |
66646 | 66646 | 2020-04-17 | York | Pennsylvania | 42133 | 443 | 4 |
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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);