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 2020-05-04 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
114539 | 114539 | 2020-05-04 | Adams | Pennsylvania | 42001 | 148 | 4 |
114540 | 114540 | 2020-05-04 | Allegheny | Pennsylvania | 42003 | 1365 | 102 |
114541 | 114541 | 2020-05-04 | Armstrong | Pennsylvania | 42005 | 52 | 2 |
114542 | 114542 | 2020-05-04 | Beaver | Pennsylvania | 42007 | 458 | 68 |
114543 | 114543 | 2020-05-04 | Bedford | Pennsylvania | 42009 | 24 | 1 |
114544 | 114544 | 2020-05-04 | Berks | Pennsylvania | 42011 | 2948 | 118 |
114545 | 114545 | 2020-05-04 | Blair | Pennsylvania | 42013 | 25 | 0 |
114546 | 114546 | 2020-05-04 | Bradford | Pennsylvania | 42015 | 35 | 5 |
114547 | 114547 | 2020-05-04 | Bucks | Pennsylvania | 42017 | 3429 | 258 |
114548 | 114548 | 2020-05-04 | Butler | Pennsylvania | 42019 | 180 | 6 |
114549 | 114549 | 2020-05-04 | Cambria | Pennsylvania | 42021 | 34 | 2 |
114550 | 114550 | 2020-05-04 | Cameron | Pennsylvania | 42023 | 1 | 0 |
114551 | 114551 | 2020-05-04 | Carbon | Pennsylvania | 42025 | 185 | 15 |
114552 | 114552 | 2020-05-04 | Centre | Pennsylvania | 42027 | 105 | 2 |
114553 | 114553 | 2020-05-04 | Chester | Pennsylvania | 42029 | 1605 | 118 |
114554 | 114554 | 2020-05-04 | Clarion | Pennsylvania | 42031 | 23 | 1 |
114555 | 114555 | 2020-05-04 | Clearfield | Pennsylvania | 42033 | 21 | 0 |
114556 | 114556 | 2020-05-04 | Clinton | Pennsylvania | 42035 | 33 | 0 |
114557 | 114557 | 2020-05-04 | Columbia | Pennsylvania | 42037 | 296 | 14 |
114558 | 114558 | 2020-05-04 | Crawford | Pennsylvania | 42039 | 19 | 0 |
114559 | 114559 | 2020-05-04 | Cumberland | Pennsylvania | 42041 | 375 | 18 |
114560 | 114560 | 2020-05-04 | Dauphin | Pennsylvania | 42043 | 652 | 28 |
114561 | 114561 | 2020-05-04 | Delaware | Pennsylvania | 42045 | 4256 | 258 |
114562 | 114562 | 2020-05-04 | Elk | Pennsylvania | 42047 | 4 | 0 |
114563 | 114563 | 2020-05-04 | Erie | Pennsylvania | 42049 | 91 | 2 |
114564 | 114564 | 2020-05-04 | Fayette | Pennsylvania | 42051 | 83 | 4 |
114565 | 114565 | 2020-05-04 | Forest | Pennsylvania | 42053 | 7 | 0 |
114566 | 114566 | 2020-05-04 | Franklin | Pennsylvania | 42055 | 377 | 10 |
114567 | 114567 | 2020-05-04 | Fulton | Pennsylvania | 42057 | 6 | 0 |
114568 | 114568 | 2020-05-04 | Greene | Pennsylvania | 42059 | 27 | 1 |
114569 | 114569 | 2020-05-04 | Huntingdon | Pennsylvania | 42061 | 57 | 0 |
114570 | 114570 | 2020-05-04 | Indiana | Pennsylvania | 42063 | 70 | 4 |
114571 | 114571 | 2020-05-04 | Jefferson | Pennsylvania | 42065 | 6 | 0 |
114572 | 114572 | 2020-05-04 | Juniata | Pennsylvania | 42067 | 86 | 1 |
114573 | 114573 | 2020-05-04 | Lackawanna | Pennsylvania | 42069 | 1017 | 87 |
114574 | 114574 | 2020-05-04 | Lancaster | Pennsylvania | 42071 | 1991 | 198 |
114575 | 114575 | 2020-05-04 | Lawrence | Pennsylvania | 42073 | 65 | 6 |
114576 | 114576 | 2020-05-04 | Lebanon | Pennsylvania | 42075 | 756 | 10 |
114577 | 114577 | 2020-05-04 | Lehigh | Pennsylvania | 42077 | 2963 | 83 |
114578 | 114578 | 2020-05-04 | Luzerne | Pennsylvania | 42079 | 2255 | 101 |
114579 | 114579 | 2020-05-04 | Lycoming | Pennsylvania | 42081 | 86 | 3 |
114580 | 114580 | 2020-05-04 | McKean | Pennsylvania | 42083 | 6 | 0 |
114581 | 114581 | 2020-05-04 | Mercer | Pennsylvania | 42085 | 66 | 1 |
114582 | 114582 | 2020-05-04 | Mifflin | Pennsylvania | 42087 | 39 | 0 |
114583 | 114583 | 2020-05-04 | Monroe | Pennsylvania | 42089 | 1173 | 55 |
114584 | 114584 | 2020-05-04 | Montgomery | Pennsylvania | 42091 | 4645 | 382 |
114585 | 114585 | 2020-05-04 | Montour | Pennsylvania | 42093 | 50 | 0 |
114586 | 114586 | 2020-05-04 | Northampton | Pennsylvania | 42095 | 2240 | 94 |
114587 | 114587 | 2020-05-04 | Northumberland | Pennsylvania | 42097 | 100 | 0 |
114588 | 114588 | 2020-05-04 | Perry | Pennsylvania | 42099 | 34 | 1 |
114589 | 114589 | 2020-05-04 | Philadelphia | Pennsylvania | 42101 | 16040 | 726 |
114590 | 114590 | 2020-05-04 | Pike | Pennsylvania | 42103 | 408 | 17 |
114591 | 114591 | 2020-05-04 | Potter | Pennsylvania | 42105 | 4 | 0 |
114592 | 114592 | 2020-05-04 | Schuylkill | Pennsylvania | 42107 | 398 | 7 |
114593 | 114593 | 2020-05-04 | Snyder | Pennsylvania | 42109 | 33 | 1 |
114594 | 114594 | 2020-05-04 | Somerset | Pennsylvania | 42111 | 30 | 1 |
114595 | 114595 | 2020-05-04 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
114596 | 114596 | 2020-05-04 | Susquehanna | Pennsylvania | 42115 | 86 | 9 |
114597 | 114597 | 2020-05-04 | Tioga | Pennsylvania | 42117 | 16 | 2 |
114598 | 114598 | 2020-05-04 | Union | Pennsylvania | 42119 | 38 | 0 |
114599 | 114599 | 2020-05-04 | Venango | Pennsylvania | 42121 | 7 | 0 |
114600 | 114600 | 2020-05-04 | Warren | Pennsylvania | 42123 | 1 | 1 |
114601 | 114601 | 2020-05-04 | Washington | Pennsylvania | 42125 | 120 | 2 |
114602 | 114602 | 2020-05-04 | Wayne | Pennsylvania | 42127 | 109 | 5 |
114603 | 114603 | 2020-05-04 | Westmoreland | Pennsylvania | 42129 | 403 | 31 |
114604 | 114604 | 2020-05-04 | Wyoming | Pennsylvania | 42131 | 27 | 2 |
114605 | 114605 | 2020-05-04 | York | Pennsylvania | 42133 | 702 | 13 |
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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);