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 2020-06-26 and state = "Pennsylvania" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
fips 67
- 42001 1
- 42003 1
- 42005 1
- 42007 1
- 42009 1
- 42011 1
- 42013 1
- 42015 1
- 42017 1
- 42019 1
- 42021 1
- 42023 1
- 42025 1
- 42027 1
- 42029 1
- 42031 1
- 42033 1
- 42035 1
- 42037 1
- 42039 1
- 42041 1
- 42043 1
- 42045 1
- 42047 1
- 42049 1
- 42051 1
- 42053 1
- 42055 1
- 42057 1
- 42059 1
- 42061 1
- 42063 1
- 42065 1
- 42067 1
- 42069 1
- 42071 1
- 42073 1
- 42075 1
- 42077 1
- 42079 1
- 42081 1
- 42083 1
- 42085 1
- 42087 1
- 42089 1
- 42091 1
- 42093 1
- 42095 1
- 42097 1
- 42099 1
- 42101 1
- 42103 1
- 42105 1
- 42107 1
- 42109 1
- 42111 1
- 42113 1
- 42115 1
- 42117 1
- 42119 1
- 42121 1
- 42123 1
- 42125 1
- 42127 1
- 42129 1
- 42131 1
- 42133 1
county 67
- Adams 1
- Allegheny 1
- Armstrong 1
- Beaver 1
- Bedford 1
- Berks 1
- Blair 1
- Bradford 1
- Bucks 1
- Butler 1
- Cambria 1
- Cameron 1
- Carbon 1
- Centre 1
- Chester 1
- Clarion 1
- Clearfield 1
- Clinton 1
- Columbia 1
- Crawford 1
- Cumberland 1
- Dauphin 1
- Delaware 1
- Elk 1
- Erie 1
- Fayette 1
- Forest 1
- Franklin 1
- Fulton 1
- Greene 1
- Huntingdon 1
- Indiana 1
- Jefferson 1
- Juniata 1
- Lackawanna 1
- Lancaster 1
- Lawrence 1
- Lebanon 1
- Lehigh 1
- Luzerne 1
- Lycoming 1
- McKean 1
- Mercer 1
- Mifflin 1
- Monroe 1
- Montgomery 1
- Montour 1
- Northampton 1
- Northumberland 1
- Perry 1
- Philadelphia 1
- Pike 1
- Potter 1
- Schuylkill 1
- Snyder 1
- Somerset 1
- Sullivan 1
- Susquehanna 1
- Tioga 1
- Union 1
- Venango 1
- Warren 1
- Washington 1
- Wayne 1
- Westmoreland 1
- Wyoming 1
- York 1
state 1
- Pennsylvania · 67 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
276678 | 276678 | 2020-06-26 | Adams | Pennsylvania | 42001 | 324 | 12 |
276679 | 276679 | 2020-06-26 | Allegheny | Pennsylvania | 42003 | 2382 | 183 |
276680 | 276680 | 2020-06-26 | Armstrong | Pennsylvania | 42005 | 72 | 6 |
276681 | 276681 | 2020-06-26 | Beaver | Pennsylvania | 42007 | 638 | 78 |
276682 | 276682 | 2020-06-26 | Bedford | Pennsylvania | 42009 | 76 | 3 |
276683 | 276683 | 2020-06-26 | Berks | Pennsylvania | 42011 | 4474 | 348 |
276684 | 276684 | 2020-06-26 | Blair | Pennsylvania | 42013 | 69 | 1 |
276685 | 276685 | 2020-06-26 | Bradford | Pennsylvania | 42015 | 56 | 3 |
276686 | 276686 | 2020-06-26 | Bucks | Pennsylvania | 42017 | 5676 | 561 |
276687 | 276687 | 2020-06-26 | Butler | Pennsylvania | 42019 | 284 | 13 |
276688 | 276688 | 2020-06-26 | Cambria | Pennsylvania | 42021 | 67 | 3 |
276689 | 276689 | 2020-06-26 | Cameron | Pennsylvania | 42023 | 2 | 0 |
276690 | 276690 | 2020-06-26 | Carbon | Pennsylvania | 42025 | 272 | 25 |
276691 | 276691 | 2020-06-26 | Centre | Pennsylvania | 42027 | 198 | 6 |
276692 | 276692 | 2020-06-26 | Chester | Pennsylvania | 42029 | 3649 | 323 |
276693 | 276693 | 2020-06-26 | Clarion | Pennsylvania | 42031 | 33 | 2 |
276694 | 276694 | 2020-06-26 | Clearfield | Pennsylvania | 42033 | 72 | 0 |
276695 | 276695 | 2020-06-26 | Clinton | Pennsylvania | 42035 | 75 | 4 |
276696 | 276696 | 2020-06-26 | Columbia | Pennsylvania | 42037 | 399 | 33 |
276697 | 276697 | 2020-06-26 | Crawford | Pennsylvania | 42039 | 51 | 0 |
276698 | 276698 | 2020-06-26 | Cumberland | Pennsylvania | 42041 | 830 | 63 |
276699 | 276699 | 2020-06-26 | Dauphin | Pennsylvania | 42043 | 1917 | 132 |
276700 | 276700 | 2020-06-26 | Delaware | Pennsylvania | 42045 | 7165 | 696 |
276701 | 276701 | 2020-06-26 | Elk | Pennsylvania | 42047 | 12 | 0 |
276702 | 276702 | 2020-06-26 | Erie | Pennsylvania | 42049 | 572 | 10 |
276703 | 276703 | 2020-06-26 | Fayette | Pennsylvania | 42051 | 106 | 4 |
276704 | 276704 | 2020-06-26 | Forest | Pennsylvania | 42053 | 7 | 0 |
276705 | 276705 | 2020-06-26 | Franklin | Pennsylvania | 42055 | 902 | 42 |
276706 | 276706 | 2020-06-26 | Fulton | Pennsylvania | 42057 | 18 | 1 |
276707 | 276707 | 2020-06-26 | Greene | Pennsylvania | 42059 | 35 | 0 |
276708 | 276708 | 2020-06-26 | Huntingdon | Pennsylvania | 42061 | 245 | 4 |
276709 | 276709 | 2020-06-26 | Indiana | Pennsylvania | 42063 | 101 | 6 |
276710 | 276710 | 2020-06-26 | Jefferson | Pennsylvania | 42065 | 21 | 1 |
276711 | 276711 | 2020-06-26 | Juniata | Pennsylvania | 42067 | 110 | 5 |
276712 | 276712 | 2020-06-26 | Lackawanna | Pennsylvania | 42069 | 1662 | 202 |
276713 | 276713 | 2020-06-26 | Lancaster | Pennsylvania | 42071 | 4280 | 354 |
276714 | 276714 | 2020-06-26 | Lawrence | Pennsylvania | 42073 | 99 | 9 |
276715 | 276715 | 2020-06-26 | Lebanon | Pennsylvania | 42075 | 1300 | 43 |
276716 | 276716 | 2020-06-26 | Lehigh | Pennsylvania | 42077 | 4187 | 288 |
276717 | 276717 | 2020-06-26 | Luzerne | Pennsylvania | 42079 | 2891 | 176 |
276718 | 276718 | 2020-06-26 | Lycoming | Pennsylvania | 42081 | 176 | 19 |
276719 | 276719 | 2020-06-26 | McKean | Pennsylvania | 42083 | 15 | 1 |
276720 | 276720 | 2020-06-26 | Mercer | Pennsylvania | 42085 | 130 | 6 |
276721 | 276721 | 2020-06-26 | Mifflin | Pennsylvania | 42087 | 62 | 1 |
276722 | 276722 | 2020-06-26 | Monroe | Pennsylvania | 42089 | 1391 | 108 |
276723 | 276723 | 2020-06-26 | Montgomery | Pennsylvania | 42091 | 8301 | 794 |
276724 | 276724 | 2020-06-26 | Montour | Pennsylvania | 42093 | 69 | 0 |
276725 | 276725 | 2020-06-26 | Northampton | Pennsylvania | 42095 | 3360 | 263 |
276726 | 276726 | 2020-06-26 | Northumberland | Pennsylvania | 42097 | 288 | 5 |
276727 | 276727 | 2020-06-26 | Perry | Pennsylvania | 42099 | 86 | 5 |
276728 | 276728 | 2020-06-26 | Philadelphia | Pennsylvania | 42101 | 25693 | 1587 |
276729 | 276729 | 2020-06-26 | Pike | Pennsylvania | 42103 | 489 | 20 |
276730 | 276730 | 2020-06-26 | Potter | Pennsylvania | 42105 | 15 | 0 |
276731 | 276731 | 2020-06-26 | Schuylkill | Pennsylvania | 42107 | 736 | 44 |
276732 | 276732 | 2020-06-26 | Snyder | Pennsylvania | 42109 | 61 | 2 |
276733 | 276733 | 2020-06-26 | Somerset | Pennsylvania | 42111 | 55 | 1 |
276734 | 276734 | 2020-06-26 | Sullivan | Pennsylvania | 42113 | 3 | 0 |
276735 | 276735 | 2020-06-26 | Susquehanna | Pennsylvania | 42115 | 179 | 22 |
276736 | 276736 | 2020-06-26 | Tioga | Pennsylvania | 42117 | 23 | 2 |
276737 | 276737 | 2020-06-26 | Union | Pennsylvania | 42119 | 90 | 2 |
276738 | 276738 | 2020-06-26 | Venango | Pennsylvania | 42121 | 17 | 0 |
276739 | 276739 | 2020-06-26 | Warren | Pennsylvania | 42123 | 5 | 0 |
276740 | 276740 | 2020-06-26 | Washington | Pennsylvania | 42125 | 187 | 6 |
276741 | 276741 | 2020-06-26 | Wayne | Pennsylvania | 42127 | 138 | 9 |
276742 | 276742 | 2020-06-26 | Westmoreland | Pennsylvania | 42129 | 587 | 38 |
276743 | 276743 | 2020-06-26 | Wyoming | Pennsylvania | 42131 | 37 | 7 |
276744 | 276744 | 2020-06-26 | York | Pennsylvania | 42133 | 1428 | 43 |
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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);