johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
64 rows where "last_update" is on date 2022-01-16 and province_or_state = "New York" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3842731 | 3842731 | 2022-01-15 | US | New York | Albany | 36001 | 50940 | 456 | 0 | 42.60060306 | -73.97723916 | 2022-01-16 04:21:12 | Albany, New York, US | |
3842732 | 3842732 | 2022-01-15 | US | New York | Allegany | 36003 | 7669 | 140 | 0 | 42.25748406 | -78.02750466 | 2022-01-16 04:21:12 | Allegany, New York, US | |
3842733 | 3842733 | 2022-01-15 | US | New York | Bronx | 36005 | 369814 | 7109 | 0 | 40.85209301 | -73.86282755 | 2022-01-16 04:21:12 | Bronx, New York, US | |
3842734 | 3842734 | 2022-01-15 | US | New York | Broome | 36007 | 39317 | 481 | 0 | 42.15903158 | -75.81326086 | 2022-01-16 04:21:12 | Broome, New York, US | |
3842735 | 3842735 | 2022-01-15 | US | New York | Cattaraugus | 36009 | 12956 | 197 | 0 | 42.24778241 | -78.67923096 | 2022-01-16 04:21:12 | Cattaraugus, New York, US | |
3842736 | 3842736 | 2022-01-15 | US | New York | Cayuga | 36011 | 13689 | 125 | 0 | 42.91261714 | -76.55731592 | 2022-01-16 04:21:12 | Cayuga, New York, US | |
3842737 | 3842737 | 2022-01-15 | US | New York | Chautauqua | 36013 | 20341 | 237 | 0 | 42.22769210000001 | -79.36691763 | 2022-01-16 04:21:12 | Chautauqua, New York, US | |
3842738 | 3842738 | 2022-01-15 | US | New York | Chemung | 36015 | 18314 | 202 | 0 | 42.13891056 | -76.7638805 | 2022-01-16 04:21:12 | Chemung, New York, US | |
3842739 | 3842739 | 2022-01-15 | US | New York | Chenango | 36017 | 7798 | 105 | 0 | 42.49430041 | -75.60887553 | 2022-01-16 04:21:12 | Chenango, New York, US | |
3842740 | 3842740 | 2022-01-15 | US | New York | Clinton | 36019 | 12662 | 62 | 0 | 44.74530905 | -73.67875352 | 2022-01-16 04:21:12 | Clinton, New York, US | |
3842741 | 3842741 | 2022-01-15 | US | New York | Columbia | 36021 | 8464 | 127 | 0 | 42.24819348 | -73.63089095 | 2022-01-16 04:21:12 | Columbia, New York, US | |
3842742 | 3842742 | 2022-01-15 | US | New York | Cortland | 36023 | 8731 | 93 | 0 | 42.59509207 | -76.07048931 | 2022-01-16 04:21:12 | Cortland, New York, US | |
3842743 | 3842743 | 2022-01-15 | US | New York | Delaware | 36025 | 6548 | 62 | 0 | 42.19837623 | -74.96709306 | 2022-01-16 04:21:12 | Delaware, New York, US | |
3842744 | 3842744 | 2022-01-15 | US | New York | Dutchess | 36027 | 57058 | 565 | 0 | 41.76486060000001 | -73.74356679 | 2022-01-16 04:21:12 | Dutchess, New York, US | |
3842745 | 3842745 | 2022-01-15 | US | New York | Erie | 36029 | 184143 | 2334 | 0 | 42.76249024 | -78.73063652 | 2022-01-16 04:21:12 | Erie, New York, US | |
3842746 | 3842746 | 2022-01-15 | US | New York | Essex | 36031 | 4547 | 52 | 0 | 44.11630765 | -73.77297842 | 2022-01-16 04:21:12 | Essex, New York, US | |
3842747 | 3842747 | 2022-01-15 | US | New York | Franklin | 36033 | 7533 | 36 | 0 | 44.59040891 | -74.29926032 | 2022-01-16 04:21:12 | Franklin, New York, US | |
3842748 | 3842748 | 2022-01-15 | US | New York | Fulton | 36035 | 10473 | 136 | 0 | 43.11363907 | -74.41798804 | 2022-01-16 04:21:12 | Fulton, New York, US | |
3842749 | 3842749 | 2022-01-15 | US | New York | Genesee | 36037 | 12030 | 167 | 0 | 43.0022601 | -78.19135193 | 2022-01-16 04:21:12 | Genesee, New York, US | |
3842750 | 3842750 | 2022-01-15 | US | New York | Greene | 36039 | 7466 | 106 | 0 | 42.275797 | -74.12384884 | 2022-01-16 04:21:12 | Greene, New York, US | |
3842751 | 3842751 | 2022-01-15 | US | New York | Hamilton | 36041 | 734 | 4 | 0 | 43.66146647 | -74.49721957 | 2022-01-16 04:21:12 | Hamilton, New York, US | |
3842752 | 3842752 | 2022-01-15 | US | New York | Herkimer | 36043 | 11860 | 167 | 0 | 43.42034246 | -74.96145307 | 2022-01-16 04:21:12 | Herkimer, New York, US | |
3842753 | 3842753 | 2022-01-15 | US | New York | Jefferson | 36045 | 16135 | 119 | 0 | 44.04200959 | -75.94653457 | 2022-01-16 04:21:12 | Jefferson, New York, US | |
3842754 | 3842754 | 2022-01-15 | US | New York | Kings | 36047 | 620611 | 11563 | 0 | 40.636182500000004 | -73.94935552 | 2022-01-16 04:21:12 | Kings, New York, US | |
3842755 | 3842755 | 2022-01-15 | US | New York | Lewis | 36049 | 5430 | 43 | 0 | 43.784415700000004 | -75.44903992 | 2022-01-16 04:21:12 | Lewis, New York, US | |
3842756 | 3842756 | 2022-01-15 | US | New York | Livingston | 36051 | 9947 | 97 | 0 | 42.72596275 | -77.77966158 | 2022-01-16 04:21:12 | Livingston, New York, US | |
3842757 | 3842757 | 2022-01-15 | US | New York | Madison | 36053 | 10797 | 118 | 0 | 42.91653905 | -75.67266639 | 2022-01-16 04:21:12 | Madison, New York, US | |
3842758 | 3842758 | 2022-01-15 | US | New York | Monroe | 36055 | 135739 | 1395 | 0 | 43.14638895 | -77.69322942 | 2022-01-16 04:21:12 | Monroe, New York, US | |
3842759 | 3842759 | 2022-01-15 | US | New York | Montgomery | 36057 | 10027 | 180 | 0 | 42.90123494 | -74.44011632 | 2022-01-16 04:21:12 | Montgomery, New York, US | |
3842760 | 3842760 | 2022-01-15 | US | New York | Nassau | 36059 | 371873 | 3548 | 0 | 40.74066522 | -73.58941873 | 2022-01-16 04:21:12 | Nassau, New York, US | |
3842761 | 3842761 | 2022-01-15 | US | New York | New York | 36061 | 362489 | 4893 | 0 | 40.76727260000001 | -73.97152637 | 2022-01-16 04:21:12 | New York, New York, US | |
3842762 | 3842762 | 2022-01-15 | US | New York | Niagara | 36063 | 42282 | 497 | 0 | 43.19898042 | -78.74777412 | 2022-01-16 04:21:12 | Niagara, New York, US | |
3842763 | 3842763 | 2022-01-15 | US | New York | Oneida | 36065 | 45927 | 721 | 0 | 43.24375382 | -75.43710392 | 2022-01-16 04:21:12 | Oneida, New York, US | |
3842764 | 3842764 | 2022-01-15 | US | New York | Onondaga | 36067 | 91347 | 922 | 0 | 43.00491923 | -76.19971155 | 2022-01-16 04:21:12 | Onondaga, New York, US | |
3842765 | 3842765 | 2022-01-15 | US | New York | Ontario | 36069 | 16805 | 156 | 0 | 42.85145728 | -77.30874425 | 2022-01-16 04:21:12 | Ontario, New York, US | |
3842766 | 3842766 | 2022-01-15 | US | New York | Orange | 36071 | 96264 | 1020 | 0 | 41.40337468 | -74.30240757 | 2022-01-16 04:21:12 | Orange, New York, US | |
3842767 | 3842767 | 2022-01-15 | US | New York | Orleans | 36073 | 7563 | 105 | 0 | 43.2516977 | -78.2320066 | 2022-01-16 04:21:12 | Orleans, New York, US | |
3842768 | 3842768 | 2022-01-15 | US | New York | Oswego | 36075 | 20814 | 156 | 0 | 43.42778894 | -76.14635194 | 2022-01-16 04:21:12 | Oswego, New York, US | |
3842769 | 3842769 | 2022-01-15 | US | New York | Otsego | 36077 | 8146 | 74 | 0 | 42.63492579 | -75.03151402 | 2022-01-16 04:21:12 | Otsego, New York, US | |
3842770 | 3842770 | 2022-01-15 | US | New York | Out of NY | 80036 | 0 | 406 | 0 | 44.74530905 | 0.0 | 2022-01-16 04:21:12 | Out of NY, New York, US | |
3842771 | 3842771 | 2022-01-15 | US | New York | Putnam | 36079 | 21431 | 112 | 0 | 41.42630093 | -73.74965532 | 2022-01-16 04:21:12 | Putnam, New York, US | |
3842772 | 3842772 | 2022-01-15 | US | New York | Queens | 36081 | 581524 | 10874 | 0 | 40.71088124 | -73.81684712 | 2022-01-16 04:21:12 | Queens, New York, US | |
3842773 | 3842773 | 2022-01-15 | US | New York | Rensselaer | 36083 | 26560 | 227 | 0 | 42.71348136 | -73.51089874 | 2022-01-16 04:21:12 | Rensselaer, New York, US | |
3842774 | 3842774 | 2022-01-15 | US | New York | Richmond | 36085 | 151096 | 2069 | 0 | 40.58582155 | -74.14808598 | 2022-01-16 04:21:12 | Richmond, New York, US | |
3842775 | 3842775 | 2022-01-15 | US | New York | Rockland | 36087 | 83819 | 837 | 0 | 41.15027894 | -74.02560498 | 2022-01-16 04:21:12 | Rockland, New York, US | |
3842776 | 3842776 | 2022-01-15 | US | New York | Saratoga | 36091 | 38907 | 288 | 0 | 43.10904162 | -73.86653895 | 2022-01-16 04:21:12 | Saratoga, New York, US | |
3842777 | 3842777 | 2022-01-15 | US | New York | Schenectady | 36093 | 28087 | 277 | 0 | 42.81668777 | -74.05278291 | 2022-01-16 04:21:12 | Schenectady, New York, US | |
3842778 | 3842778 | 2022-01-15 | US | New York | Schoharie | 36095 | 4111 | 31 | 0 | 42.58831742 | -74.44339029999998 | 2022-01-16 04:21:12 | Schoharie, New York, US | |
3842779 | 3842779 | 2022-01-15 | US | New York | Schuyler | 36097 | 2907 | 23 | 0 | 42.39184015 | -76.8773299 | 2022-01-16 04:21:12 | Schuyler, New York, US | |
3842780 | 3842780 | 2022-01-15 | US | New York | Seneca | 36099 | 4775 | 85 | 0 | 42.78081007 | -76.82497064 | 2022-01-16 04:21:12 | Seneca, New York, US | |
3842781 | 3842781 | 2022-01-15 | US | New York | St. Lawrence | 36089 | 17267 | 164 | 0 | 44.4976179 | -75.06550039 | 2022-01-16 04:21:12 | St. Lawrence, New York, US | |
3842782 | 3842782 | 2022-01-15 | US | New York | Steuben | 36101 | 16747 | 224 | 0 | 42.2689144 | -77.3829924 | 2022-01-16 04:21:12 | Steuben, New York, US | |
3842783 | 3842783 | 2022-01-15 | US | New York | Suffolk | 36103 | 395134 | 4006 | 0 | 40.88320119 | -72.8012172 | 2022-01-16 04:21:12 | Suffolk, New York, US | |
3842784 | 3842784 | 2022-01-15 | US | New York | Sullivan | 36105 | 16101 | 110 | 0 | 41.71579493 | -74.76394559 | 2022-01-16 04:21:12 | Sullivan, New York, US | |
3842785 | 3842785 | 2022-01-15 | US | New York | Tioga | 36107 | 9049 | 79 | 0 | 42.16852837 | -76.30835812 | 2022-01-16 04:21:12 | Tioga, New York, US | |
3842786 | 3842786 | 2022-01-15 | US | New York | Tompkins | 36109 | 14460 | 74 | 0 | 42.44945765 | -76.47229843 | 2022-01-16 04:21:12 | Tompkins, New York, US | |
3842787 | 3842787 | 2022-01-15 | US | New York | Ulster | 36111 | 27133 | 323 | 0 | 41.89027881 | -74.26252104 | 2022-01-16 04:21:12 | Ulster, New York, US | |
3842788 | 3842788 | 2022-01-15 | US | New York | Unassigned | 90036 | 370 | 1 | 0 | 44.74530905 | 0.0 | 2022-01-16 04:21:12 | Unassigned, New York, US | |
3842789 | 3842789 | 2022-01-15 | US | New York | Warren | 36113 | 11407 | 114 | 0 | 43.56173026 | -73.8433699 | 2022-01-16 04:21:12 | Warren, New York, US | |
3842790 | 3842790 | 2022-01-15 | US | New York | Washington | 36115 | 10141 | 98 | 0 | 43.31153794 | -73.43043448 | 2022-01-16 04:21:12 | Washington, New York, US | |
3842791 | 3842791 | 2022-01-15 | US | New York | Wayne | 36117 | 14502 | 139 | 0 | 43.15494365 | -77.02976528 | 2022-01-16 04:21:12 | Wayne, New York, US | |
3842792 | 3842792 | 2022-01-15 | US | New York | Westchester | 36119 | 229897 | 2504 | 0 | 41.16278376 | -73.75741653 | 2022-01-16 04:21:12 | Westchester, New York, US | |
3842793 | 3842793 | 2022-01-15 | US | New York | Wyoming | 36121 | 7336 | 75 | 0 | 42.70145109 | -78.22199579 | 2022-01-16 04:21:12 | Wyoming, New York, US | |
3842794 | 3842794 | 2022-01-15 | US | New York | Yates | 36123 | 2812 | 36 | 0 | 42.63505484 | -77.10369919 | 2022-01-16 04:21:12 | Yates, New York, 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]);