johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
68 rows where "day" is on date 2022-01-10 and province_or_state = "Pennsylvania" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1694963 | 1694963 | 2022-01-10 | US | Pennsylvania | Adams | 42001 | 20366 | 289 | 0 | 39.87140411 | -77.21610347 | 2022-01-11 04:22:01 | Adams, Pennsylvania, US | |
1694964 | 1694964 | 2022-01-10 | US | Pennsylvania | Allegheny | 42003 | 208603 | 2787 | 0 | 40.46809875 | -79.98167747 | 2022-01-11 04:22:01 | Allegheny, Pennsylvania, US | |
1694965 | 1694965 | 2022-01-10 | US | Pennsylvania | Armstrong | 42005 | 12788 | 281 | 0 | 40.81665618 | -79.46290811 | 2022-01-11 04:22:01 | Armstrong, Pennsylvania, US | |
1694966 | 1694966 | 2022-01-10 | US | Pennsylvania | Beaver | 42007 | 32049 | 624 | 0 | 40.6825484 | -80.34921611 | 2022-01-11 04:22:01 | Beaver, Pennsylvania, US | |
1694967 | 1694967 | 2022-01-10 | US | Pennsylvania | Bedford | 42009 | 9182 | 233 | 0 | 40.00522157 | -78.48998442 | 2022-01-11 04:22:01 | Bedford, Pennsylvania, US | |
1694968 | 1694968 | 2022-01-10 | US | Pennsylvania | Berks | 42011 | 86639 | 1368 | 0 | 40.41570541 | -75.92457766 | 2022-01-11 04:22:01 | Berks, Pennsylvania, US | |
1694969 | 1694969 | 2022-01-10 | US | Pennsylvania | Blair | 42013 | 24159 | 514 | 0 | 40.47961444 | -78.34917412 | 2022-01-11 04:22:01 | Blair, Pennsylvania, US | |
1694970 | 1694970 | 2022-01-10 | US | Pennsylvania | Bradford | 42015 | 11746 | 165 | 0 | 41.78869215 | -76.51570822 | 2022-01-11 04:22:01 | Bradford, Pennsylvania, US | |
1694971 | 1694971 | 2022-01-10 | US | Pennsylvania | Bucks | 42017 | 104758 | 1583 | 0 | 40.33682119 | -75.10836643 | 2022-01-11 04:22:01 | Bucks, Pennsylvania, US | |
1694972 | 1694972 | 2022-01-10 | US | Pennsylvania | Butler | 42019 | 36467 | 634 | 0 | 40.91152759 | -79.91351055 | 2022-01-11 04:22:01 | Butler, Pennsylvania, US | |
1694973 | 1694973 | 2022-01-10 | US | Pennsylvania | Cambria | 42021 | 27511 | 635 | 0 | 40.49527404 | -78.71377428 | 2022-01-11 04:22:01 | Cambria, Pennsylvania, US | |
1694974 | 1694974 | 2022-01-10 | US | Pennsylvania | Cameron | 42023 | 673 | 13 | 0 | 41.43625568 | -78.20376845 | 2022-01-11 04:22:01 | Cameron, Pennsylvania, US | |
1694975 | 1694975 | 2022-01-10 | US | Pennsylvania | Carbon | 42025 | 13127 | 238 | 0 | 40.91545395 | -75.7068525 | 2022-01-11 04:22:01 | Carbon, Pennsylvania, US | |
1694976 | 1694976 | 2022-01-10 | US | Pennsylvania | Centre | 42027 | 28734 | 298 | 0 | 40.92058903 | -77.82200624 | 2022-01-11 04:22:01 | Centre, Pennsylvania, US | |
1694977 | 1694977 | 2022-01-10 | US | Pennsylvania | Chester | 42029 | 76043 | 993 | 0 | 39.97291773 | -75.74768357 | 2022-01-11 04:22:01 | Chester, Pennsylvania, US | |
1694978 | 1694978 | 2022-01-10 | US | Pennsylvania | Clarion | 42031 | 6901 | 178 | 0 | 41.19265812 | -79.42413524 | 2022-01-11 04:22:01 | Clarion, Pennsylvania, US | |
1694979 | 1694979 | 2022-01-10 | US | Pennsylvania | Clearfield | 42033 | 15282 | 268 | 0 | 41.00110782 | -78.47592663 | 2022-01-11 04:22:01 | Clearfield, Pennsylvania, US | |
1694980 | 1694980 | 2022-01-10 | US | Pennsylvania | Clinton | 42035 | 7333 | 110 | 0 | 41.23255967 | -77.63785995 | 2022-01-11 04:22:01 | Clinton, Pennsylvania, US | |
1694981 | 1694981 | 2022-01-10 | US | Pennsylvania | Columbia | 42037 | 11935 | 198 | 0 | 41.04821986 | -76.40565017 | 2022-01-11 04:22:01 | Columbia, Pennsylvania, US | |
1694982 | 1694982 | 2022-01-10 | US | Pennsylvania | Crawford | 42039 | 16377 | 264 | 0 | 41.68447709 | -80.10760592 | 2022-01-11 04:22:01 | Crawford, Pennsylvania, US | |
1694983 | 1694983 | 2022-01-10 | US | Pennsylvania | Cumberland | 42041 | 40593 | 743 | 0 | 40.1625372 | -77.26130755 | 2022-01-11 04:22:01 | Cumberland, Pennsylvania, US | |
1694984 | 1694984 | 2022-01-10 | US | Pennsylvania | Dauphin | 42043 | 49125 | 784 | 0 | 40.41377078 | -76.77993242 | 2022-01-11 04:22:01 | Dauphin, Pennsylvania, US | |
1694985 | 1694985 | 2022-01-10 | US | Pennsylvania | Delaware | 42045 | 93468 | 1604 | 0 | 39.91680171 | -75.40243663 | 2022-01-11 04:22:01 | Delaware, Pennsylvania, US | |
1694986 | 1694986 | 2022-01-10 | US | Pennsylvania | Elk | 42047 | 5699 | 79 | 0 | 41.42822061 | -78.64524744 | 2022-01-11 04:22:01 | Elk, Pennsylvania, US | |
1694987 | 1694987 | 2022-01-10 | US | Pennsylvania | Erie | 42049 | 47123 | 644 | 0 | 41.99253829 | -80.03301954 | 2022-01-11 04:22:01 | Erie, Pennsylvania, US | |
1694988 | 1694988 | 2022-01-10 | US | Pennsylvania | Fayette | 42051 | 24567 | 550 | 0 | 39.92041012 | -79.64291195 | 2022-01-11 04:22:01 | Fayette, Pennsylvania, US | |
1694989 | 1694989 | 2022-01-10 | US | Pennsylvania | Forest | 42053 | 1907 | 33 | 0 | 41.51095103 | -79.23229292 | 2022-01-11 04:22:01 | Forest, Pennsylvania, US | |
1694990 | 1694990 | 2022-01-10 | US | Pennsylvania | Franklin | 42055 | 32689 | 572 | 0 | 39.92956518 | -77.72157791 | 2022-01-11 04:22:01 | Franklin, Pennsylvania, US | |
1694991 | 1694991 | 2022-01-10 | US | Pennsylvania | Fulton | 42057 | 3361 | 51 | 0 | 39.92913544 | -78.11163677 | 2022-01-11 04:22:01 | Fulton, Pennsylvania, US | |
1694992 | 1694992 | 2022-01-10 | US | Pennsylvania | Greene | 42059 | 6734 | 82 | 0 | 39.85746531 | -80.22357106 | 2022-01-11 04:22:01 | Greene, Pennsylvania, US | |
1694993 | 1694993 | 2022-01-10 | US | Pennsylvania | Huntingdon | 42061 | 9021 | 205 | 0 | 40.42162652 | -77.97673273 | 2022-01-11 04:22:01 | Huntingdon, Pennsylvania, US | |
1694994 | 1694994 | 2022-01-10 | US | Pennsylvania | Indiana | 42063 | 13528 | 306 | 0 | 40.65241041 | -79.08963285 | 2022-01-11 04:22:01 | Indiana, Pennsylvania, US | |
1694995 | 1694995 | 2022-01-10 | US | Pennsylvania | Jefferson | 42065 | 7216 | 187 | 0 | 41.12913106 | -78.9986361 | 2022-01-11 04:22:01 | Jefferson, Pennsylvania, US | |
1694996 | 1694996 | 2022-01-10 | US | Pennsylvania | Juniata | 42067 | 4009 | 152 | 0 | 40.53358749 | -77.39975129999998 | 2022-01-11 04:22:01 | Juniata, Pennsylvania, US | |
1694997 | 1694997 | 2022-01-10 | US | Pennsylvania | Lackawanna | 42069 | 33546 | 610 | 0 | 41.43564672 | -75.60379201 | 2022-01-11 04:22:01 | Lackawanna, Pennsylvania, US | |
1694998 | 1694998 | 2022-01-10 | US | Pennsylvania | Lancaster | 42071 | 102154 | 1596 | 0 | 40.03904563 | -76.24770128 | 2022-01-11 04:22:01 | Lancaster, Pennsylvania, US | |
1694999 | 1694999 | 2022-01-10 | US | Pennsylvania | Lawrence | 42073 | 15858 | 347 | 0 | 40.99206278 | -80.33393706 | 2022-01-11 04:22:01 | Lawrence, Pennsylvania, US | |
1695000 | 1695000 | 2022-01-10 | US | Pennsylvania | Lebanon | 42075 | 30756 | 420 | 0 | 40.36680311 | -76.45651841 | 2022-01-11 04:22:01 | Lebanon, Pennsylvania, US | |
1695001 | 1695001 | 2022-01-10 | US | Pennsylvania | Lehigh | 42077 | 75139 | 1077 | 0 | 40.6154815 | -75.59435245 | 2022-01-11 04:22:01 | Lehigh, Pennsylvania, US | |
1695002 | 1695002 | 2022-01-10 | US | Pennsylvania | Luzerne | 42079 | 60101 | 1106 | 0 | 41.17823008 | -75.98447579 | 2022-01-11 04:22:01 | Luzerne, Pennsylvania, US | |
1695003 | 1695003 | 2022-01-10 | US | Pennsylvania | Lycoming | 42081 | 23214 | 456 | 0 | 41.34310539 | -77.06629984 | 2022-01-11 04:22:01 | Lycoming, Pennsylvania, US | |
1695004 | 1695004 | 2022-01-10 | US | Pennsylvania | McKean | 42083 | 6662 | 118 | 0 | 41.80938602 | -78.56478358 | 2022-01-11 04:22:01 | McKean, Pennsylvania, US | |
1695005 | 1695005 | 2022-01-10 | US | Pennsylvania | Mercer | 42085 | 19724 | 437 | 0 | 41.30248872 | -80.25816981 | 2022-01-11 04:22:01 | Mercer, Pennsylvania, US | |
1695006 | 1695006 | 2022-01-10 | US | Pennsylvania | Mifflin | 42087 | 9797 | 246 | 0 | 40.61116939 | -77.61070738 | 2022-01-11 04:22:01 | Mifflin, Pennsylvania, US | |
1695007 | 1695007 | 2022-01-10 | US | Pennsylvania | Monroe | 42089 | 30697 | 428 | 0 | 41.05934058 | -75.34031025 | 2022-01-11 04:22:01 | Monroe, Pennsylvania, US | |
1695008 | 1695008 | 2022-01-10 | US | Pennsylvania | Montgomery | 42091 | 125898 | 2029 | 0 | 40.21053671 | -75.36652296 | 2022-01-11 04:22:01 | Montgomery, Pennsylvania, US | |
1695009 | 1695009 | 2022-01-10 | US | Pennsylvania | Montour | 42093 | 3570 | 82 | 0 | 41.03023987 | -76.66345939 | 2022-01-11 04:22:01 | Montour, Pennsylvania, US | |
1695010 | 1695010 | 2022-01-10 | US | Pennsylvania | Northampton | 42095 | 67302 | 907 | 0 | 40.75182733 | -75.30471829 | 2022-01-11 04:22:01 | Northampton, Pennsylvania, US | |
1695011 | 1695011 | 2022-01-10 | US | Pennsylvania | Northumberland | 42097 | 18407 | 479 | 0 | 40.84785433 | -76.70798222 | 2022-01-11 04:22:01 | Northumberland, Pennsylvania, US | |
1695012 | 1695012 | 2022-01-10 | US | Pennsylvania | Perry | 42099 | 7283 | 158 | 0 | 40.40206612 | -77.26297447 | 2022-01-11 04:22:01 | Perry, Pennsylvania, US | |
1695013 | 1695013 | 2022-01-10 | US | Pennsylvania | Philadelphia | 42101 | 261739 | 4326 | 0 | 40.00338507 | -75.1379271 | 2022-01-11 04:22:01 | Philadelphia, Pennsylvania, US | |
1695014 | 1695014 | 2022-01-10 | US | Pennsylvania | Pike | 42103 | 8100 | 76 | 0 | 41.33155042 | -75.03208106 | 2022-01-11 04:22:01 | Pike, Pennsylvania, US | |
1695015 | 1695015 | 2022-01-10 | US | Pennsylvania | Potter | 42105 | 2653 | 80 | 0 | 41.74471626 | -77.89559864 | 2022-01-11 04:22:01 | Potter, Pennsylvania, US | |
1695016 | 1695016 | 2022-01-10 | US | Pennsylvania | Schuylkill | 42107 | 28294 | 572 | 0 | 40.70497338 | -76.2150785 | 2022-01-11 04:22:01 | Schuylkill, Pennsylvania, US | |
1695017 | 1695017 | 2022-01-10 | US | Pennsylvania | Snyder | 42109 | 6662 | 132 | 0 | 40.77129231 | -77.06840691 | 2022-01-11 04:22:01 | Snyder, Pennsylvania, US | |
1695018 | 1695018 | 2022-01-10 | US | Pennsylvania | Somerset | 42111 | 14943 | 345 | 0 | 39.97172723 | -79.02699593 | 2022-01-11 04:22:01 | Somerset, Pennsylvania, US | |
1695019 | 1695019 | 2022-01-10 | US | Pennsylvania | Sullivan | 42113 | 852 | 32 | 0 | 41.44634738 | -76.51246591 | 2022-01-11 04:22:01 | Sullivan, Pennsylvania, US | |
1695020 | 1695020 | 2022-01-10 | US | Pennsylvania | Susquehanna | 42115 | 6365 | 93 | 0 | 41.82147784 | -75.80071959 | 2022-01-11 04:22:01 | Susquehanna, Pennsylvania, US | |
1695021 | 1695021 | 2022-01-10 | US | Pennsylvania | Tioga | 42117 | 6579 | 173 | 0 | 41.77255149 | -77.25433032 | 2022-01-11 04:22:01 | Tioga, Pennsylvania, US | |
1695022 | 1695022 | 2022-01-10 | US | Pennsylvania | Unassigned | 90042 | 0 | 0 | 0 | 41.99253829 | -80.34921611 | 2022-01-11 04:22:01 | Unassigned, Pennsylvania, US | |
1695023 | 1695023 | 2022-01-10 | US | Pennsylvania | Union | 42119 | 9499 | 135 | 0 | 40.96188846 | -77.05996014 | 2022-01-11 04:22:01 | Union, Pennsylvania, US | |
1695024 | 1695024 | 2022-01-10 | US | Pennsylvania | Venango | 42121 | 9416 | 207 | 0 | 41.40323442 | -79.75845449 | 2022-01-11 04:22:01 | Venango, Pennsylvania, US | |
1695025 | 1695025 | 2022-01-10 | US | Pennsylvania | Warren | 42123 | 5930 | 184 | 0 | 41.81304978 | -79.26969577 | 2022-01-11 04:22:01 | Warren, Pennsylvania, US | |
1695026 | 1695026 | 2022-01-10 | US | Pennsylvania | Washington | 42125 | 40125 | 535 | 0 | 40.19208869 | -80.24582867 | 2022-01-11 04:22:01 | Washington, Pennsylvania, US | |
1695027 | 1695027 | 2022-01-10 | US | Pennsylvania | Wayne | 42127 | 8369 | 144 | 0 | 41.64938475 | -75.29956506 | 2022-01-11 04:22:01 | Wayne, Pennsylvania, US | |
1695028 | 1695028 | 2022-01-10 | US | Pennsylvania | Westmoreland | 42129 | 64381 | 1153 | 0 | 40.31377979999999 | -79.46615476 | 2022-01-11 04:22:01 | Westmoreland, Pennsylvania, US | |
1695029 | 1695029 | 2022-01-10 | US | Pennsylvania | Wyoming | 42131 | 4170 | 92 | 0 | 41.51955538 | -76.01074915 | 2022-01-11 04:22:01 | Wyoming, Pennsylvania, US | |
1695030 | 1695030 | 2022-01-10 | US | Pennsylvania | York | 42133 | 97191 | 1246 | 0 | 39.9210089 | -76.73040131 | 2022-01-11 04:22:01 | York, Pennsylvania, US |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);