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 2020-05-03 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
111657 | 111657 | 2020-05-03 | Adams | Pennsylvania | 42001 | 145 | 4 |
111658 | 111658 | 2020-05-03 | Allegheny | Pennsylvania | 42003 | 1345 | 102 |
111659 | 111659 | 2020-05-03 | Armstrong | Pennsylvania | 42005 | 52 | 2 |
111660 | 111660 | 2020-05-03 | Beaver | Pennsylvania | 42007 | 435 | 68 |
111661 | 111661 | 2020-05-03 | Bedford | Pennsylvania | 42009 | 24 | 1 |
111662 | 111662 | 2020-05-03 | Berks | Pennsylvania | 42011 | 2886 | 118 |
111663 | 111663 | 2020-05-03 | Blair | Pennsylvania | 42013 | 24 | 0 |
111664 | 111664 | 2020-05-03 | Bradford | Pennsylvania | 42015 | 35 | 5 |
111665 | 111665 | 2020-05-03 | Bucks | Pennsylvania | 42017 | 3319 | 240 |
111666 | 111666 | 2020-05-03 | Butler | Pennsylvania | 42019 | 180 | 6 |
111667 | 111667 | 2020-05-03 | Cambria | Pennsylvania | 42021 | 33 | 2 |
111668 | 111668 | 2020-05-03 | Cameron | Pennsylvania | 42023 | 1 | 0 |
111669 | 111669 | 2020-05-03 | Carbon | Pennsylvania | 42025 | 183 | 15 |
111670 | 111670 | 2020-05-03 | Centre | Pennsylvania | 42027 | 102 | 2 |
111671 | 111671 | 2020-05-03 | Chester | Pennsylvania | 42029 | 1546 | 117 |
111672 | 111672 | 2020-05-03 | Clarion | Pennsylvania | 42031 | 23 | 1 |
111673 | 111673 | 2020-05-03 | Clearfield | Pennsylvania | 42033 | 21 | 0 |
111674 | 111674 | 2020-05-03 | Clinton | Pennsylvania | 42035 | 32 | 0 |
111675 | 111675 | 2020-05-03 | Columbia | Pennsylvania | 42037 | 291 | 14 |
111676 | 111676 | 2020-05-03 | Crawford | Pennsylvania | 42039 | 19 | 0 |
111677 | 111677 | 2020-05-03 | Cumberland | Pennsylvania | 42041 | 373 | 18 |
111678 | 111678 | 2020-05-03 | Dauphin | Pennsylvania | 42043 | 634 | 28 |
111679 | 111679 | 2020-05-03 | Delaware | Pennsylvania | 42045 | 4173 | 255 |
111680 | 111680 | 2020-05-03 | Elk | Pennsylvania | 42047 | 4 | 0 |
111681 | 111681 | 2020-05-03 | Erie | Pennsylvania | 42049 | 91 | 2 |
111682 | 111682 | 2020-05-03 | Fayette | Pennsylvania | 42051 | 83 | 4 |
111683 | 111683 | 2020-05-03 | Forest | Pennsylvania | 42053 | 7 | 0 |
111684 | 111684 | 2020-05-03 | Franklin | Pennsylvania | 42055 | 351 | 10 |
111685 | 111685 | 2020-05-03 | Fulton | Pennsylvania | 42057 | 6 | 0 |
111686 | 111686 | 2020-05-03 | Greene | Pennsylvania | 42059 | 27 | 1 |
111687 | 111687 | 2020-05-03 | Huntingdon | Pennsylvania | 42061 | 56 | 0 |
111688 | 111688 | 2020-05-03 | Indiana | Pennsylvania | 42063 | 69 | 4 |
111689 | 111689 | 2020-05-03 | Jefferson | Pennsylvania | 42065 | 6 | 0 |
111690 | 111690 | 2020-05-03 | Juniata | Pennsylvania | 42067 | 86 | 1 |
111691 | 111691 | 2020-05-03 | Lackawanna | Pennsylvania | 42069 | 999 | 86 |
111692 | 111692 | 2020-05-03 | Lancaster | Pennsylvania | 42071 | 1936 | 191 |
111693 | 111693 | 2020-05-03 | Lawrence | Pennsylvania | 42073 | 65 | 6 |
111694 | 111694 | 2020-05-03 | Lebanon | Pennsylvania | 42075 | 735 | 10 |
111695 | 111695 | 2020-05-03 | Lehigh | Pennsylvania | 42077 | 2924 | 83 |
111696 | 111696 | 2020-05-03 | Luzerne | Pennsylvania | 42079 | 2240 | 97 |
111697 | 111697 | 2020-05-03 | Lycoming | Pennsylvania | 42081 | 85 | 2 |
111698 | 111698 | 2020-05-03 | McKean | Pennsylvania | 42083 | 6 | 0 |
111699 | 111699 | 2020-05-03 | Mercer | Pennsylvania | 42085 | 66 | 1 |
111700 | 111700 | 2020-05-03 | Mifflin | Pennsylvania | 42087 | 39 | 0 |
111701 | 111701 | 2020-05-03 | Monroe | Pennsylvania | 42089 | 1172 | 55 |
111702 | 111702 | 2020-05-03 | Montgomery | Pennsylvania | 42091 | 4552 | 381 |
111703 | 111703 | 2020-05-03 | Montour | Pennsylvania | 42093 | 50 | 0 |
111704 | 111704 | 2020-05-03 | Northampton | Pennsylvania | 42095 | 2214 | 94 |
111705 | 111705 | 2020-05-03 | Northumberland | Pennsylvania | 42097 | 99 | 0 |
111706 | 111706 | 2020-05-03 | Perry | Pennsylvania | 42099 | 34 | 1 |
111707 | 111707 | 2020-05-03 | Philadelphia | Pennsylvania | 42101 | 15854 | 727 |
111708 | 111708 | 2020-05-03 | Pike | Pennsylvania | 42103 | 405 | 16 |
111709 | 111709 | 2020-05-03 | Potter | Pennsylvania | 42105 | 4 | 0 |
111710 | 111710 | 2020-05-03 | Schuylkill | Pennsylvania | 42107 | 395 | 7 |
111711 | 111711 | 2020-05-03 | Snyder | Pennsylvania | 42109 | 33 | 1 |
111712 | 111712 | 2020-05-03 | Somerset | Pennsylvania | 42111 | 29 | 1 |
111713 | 111713 | 2020-05-03 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
111714 | 111714 | 2020-05-03 | Susquehanna | Pennsylvania | 42115 | 85 | 9 |
111715 | 111715 | 2020-05-03 | Tioga | Pennsylvania | 42117 | 16 | 2 |
111716 | 111716 | 2020-05-03 | Union | Pennsylvania | 42119 | 38 | 0 |
111717 | 111717 | 2020-05-03 | Venango | Pennsylvania | 42121 | 7 | 0 |
111718 | 111718 | 2020-05-03 | Warren | Pennsylvania | 42123 | 1 | 1 |
111719 | 111719 | 2020-05-03 | Washington | Pennsylvania | 42125 | 119 | 2 |
111720 | 111720 | 2020-05-03 | Wayne | Pennsylvania | 42127 | 109 | 5 |
111721 | 111721 | 2020-05-03 | Westmoreland | Pennsylvania | 42129 | 401 | 30 |
111722 | 111722 | 2020-05-03 | Wyoming | Pennsylvania | 42131 | 25 | 2 |
111723 | 111723 | 2020-05-03 | York | Pennsylvania | 42133 | 679 | 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);