johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
64 rows where "last_update" is on date 2022-10-01 and province_or_state = "New York" sorted by day descending
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Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
855840 | 855840 | 2022-09-30 | US | New York | Albany | 36001 | 72887 | 556 | 0 | 42.60060306 | -73.97723916 | 2022-10-01 04:23:01 | Albany, New York, US | |
855841 | 855841 | 2022-09-30 | US | New York | Allegany | 36003 | 10170 | 162 | 0 | 42.25748406 | -78.02750466 | 2022-10-01 04:23:01 | Allegany, New York, US | |
855842 | 855842 | 2022-09-30 | US | New York | Bronx | 36005 | 487992 | 8012 | 0 | 40.85209301 | -73.86282755 | 2022-10-01 04:23:01 | Bronx, New York, US | |
855843 | 855843 | 2022-09-30 | US | New York | Broome | 36007 | 54231 | 553 | 0 | 42.15903158 | -75.81326086 | 2022-10-01 04:23:01 | Broome, New York, US | |
855844 | 855844 | 2022-09-30 | US | New York | Cattaraugus | 36009 | 18108 | 236 | 0 | 42.24778241 | -78.67923096 | 2022-10-01 04:23:01 | Cattaraugus, New York, US | |
855845 | 855845 | 2022-09-30 | US | New York | Cayuga | 36011 | 19001 | 165 | 0 | 42.91261714 | -76.55731592 | 2022-10-01 04:23:01 | Cayuga, New York, US | |
855846 | 855846 | 2022-09-30 | US | New York | Chautauqua | 36013 | 27571 | 317 | 0 | 42.2276921 | -79.36691763 | 2022-10-01 04:23:01 | Chautauqua, New York, US | |
855847 | 855847 | 2022-09-30 | US | New York | Chemung | 36015 | 24766 | 242 | 0 | 42.13891056 | -76.7638805 | 2022-10-01 04:23:01 | Chemung, New York, US | |
855848 | 855848 | 2022-09-30 | US | New York | Chenango | 36017 | 11021 | 126 | 0 | 42.49430041 | -75.60887553 | 2022-10-01 04:23:01 | Chenango, New York, US | |
855849 | 855849 | 2022-09-30 | US | New York | Clinton | 36019 | 20703 | 103 | 0 | 44.74530905 | -73.67875352 | 2022-10-01 04:23:01 | Clinton, New York, US | |
855850 | 855850 | 2022-09-30 | US | New York | Columbia | 36021 | 12661 | 157 | 0 | 42.24819348 | -73.63089095 | 2022-10-01 04:23:01 | Columbia, New York, US | |
855851 | 855851 | 2022-09-30 | US | New York | Cortland | 36023 | 12487 | 128 | 0 | 42.59509207 | -76.07048931 | 2022-10-01 04:23:01 | Cortland, New York, US | |
855852 | 855852 | 2022-09-30 | US | New York | Delaware | 36025 | 9394 | 84 | 0 | 42.19837623 | -74.96709306 | 2022-10-01 04:23:01 | Delaware, New York, US | |
855853 | 855853 | 2022-09-30 | US | New York | Dutchess | 36027 | 77259 | 698 | 0 | 41.7648606 | -73.74356679 | 2022-10-01 04:23:01 | Dutchess, New York, US | |
855854 | 855854 | 2022-09-30 | US | New York | Erie | 36029 | 252037 | 2756 | 0 | 42.76249024 | -78.73063652 | 2022-10-01 04:23:01 | Erie, New York, US | |
855855 | 855855 | 2022-09-30 | US | New York | Essex | 36031 | 7052 | 66 | 0 | 44.11630765 | -73.77297842 | 2022-10-01 04:23:01 | Essex, New York, US | |
855856 | 855856 | 2022-09-30 | US | New York | Franklin | 36033 | 11267 | 50 | 0 | 44.59040891 | -74.29926032 | 2022-10-01 04:23:01 | Franklin, New York, US | |
855857 | 855857 | 2022-09-30 | US | New York | Fulton | 36035 | 15338 | 175 | 0 | 43.11363907 | -74.41798804 | 2022-10-01 04:23:01 | Fulton, New York, US | |
855858 | 855858 | 2022-09-30 | US | New York | Genesee | 36037 | 15544 | 202 | 0 | 43.0022601 | -78.19135193 | 2022-10-01 04:23:01 | Genesee, New York, US | |
855859 | 855859 | 2022-09-30 | US | New York | Greene | 36039 | 10140 | 139 | 0 | 42.275797 | -74.12384884 | 2022-10-01 04:23:01 | Greene, New York, US | |
855860 | 855860 | 2022-09-30 | US | New York | Hamilton | 36041 | 1011 | 5 | 0 | 43.66146647 | -74.49721957 | 2022-10-01 04:23:01 | Hamilton, New York, US | |
855861 | 855861 | 2022-09-30 | US | New York | Herkimer | 36043 | 16358 | 201 | 0 | 43.42034246 | -74.96145307 | 2022-10-01 04:23:01 | Herkimer, New York, US | |
855862 | 855862 | 2022-09-30 | US | New York | Jefferson | 36045 | 24594 | 144 | 0 | 44.04200959 | -75.94653457 | 2022-10-01 04:23:01 | Jefferson, New York, US | |
855863 | 855863 | 2022-09-30 | US | New York | Kings | 36047 | 857249 | 13384 | 0 | 40.6361825 | -73.94935552 | 2022-10-01 04:23:01 | Kings, New York, US | |
855864 | 855864 | 2022-09-30 | US | New York | Lewis | 36049 | 6915 | 53 | 0 | 43.7844157 | -75.44903992 | 2022-10-01 04:23:01 | Lewis, New York, US | |
855865 | 855865 | 2022-09-30 | US | New York | Livingston | 36051 | 13438 | 129 | 0 | 42.72596275 | -77.77966158 | 2022-10-01 04:23:01 | Livingston, New York, US | |
855866 | 855866 | 2022-09-30 | US | New York | Madison | 36053 | 15681 | 133 | 0 | 42.91653905 | -75.67266639 | 2022-10-01 04:23:01 | Madison, New York, US | |
855867 | 855867 | 2022-09-30 | US | New York | Monroe | 36055 | 179106 | 1714 | 0 | 43.14638895 | -77.69322942 | 2022-10-01 04:23:01 | Monroe, New York, US | |
855868 | 855868 | 2022-09-30 | US | New York | Montgomery | 36057 | 14019 | 220 | 0 | 42.90123494 | -74.44011632 | 2022-10-01 04:23:01 | Montgomery, New York, US | |
855869 | 855869 | 2022-09-30 | US | New York | Nassau | 36059 | 497827 | 4026 | 0 | 40.74066522 | -73.58941873 | 2022-10-01 04:23:01 | Nassau, New York, US | |
855870 | 855870 | 2022-09-30 | US | New York | New York | 36061 | 533091 | 5729 | 0 | 40.7672726 | -73.97152637 | 2022-10-01 04:23:01 | New York, New York, US | |
855871 | 855871 | 2022-09-30 | US | New York | Niagara | 36063 | 56052 | 606 | 0 | 43.19898042 | -78.74777412 | 2022-10-01 04:23:01 | Niagara, New York, US | |
855872 | 855872 | 2022-09-30 | US | New York | Oneida | 36065 | 64366 | 833 | 0 | 43.24375382 | -75.43710392 | 2022-10-01 04:23:01 | Oneida, New York, US | |
855873 | 855873 | 2022-09-30 | US | New York | Onondaga | 36067 | 133908 | 1129 | 0 | 43.00491923 | -76.19971155 | 2022-10-01 04:23:01 | Onondaga, New York, US | |
855874 | 855874 | 2022-09-30 | US | New York | Ontario | 36069 | 24053 | 196 | 0 | 42.85145728 | -77.30874425 | 2022-10-01 04:23:01 | Ontario, New York, US | |
855875 | 855875 | 2022-09-30 | US | New York | Orange | 36071 | 134449 | 1212 | 0 | 41.40337468 | -74.30240757 | 2022-10-01 04:23:01 | Orange, New York, US | |
855876 | 855876 | 2022-09-30 | US | New York | Orleans | 36073 | 9878 | 121 | 0 | 43.2516977 | -78.2320066 | 2022-10-01 04:23:01 | Orleans, New York, US | |
855877 | 855877 | 2022-09-30 | US | New York | Oswego | 36075 | 31970 | 211 | 0 | 43.42778894 | -76.14635194 | 2022-10-01 04:23:01 | Oswego, New York, US | |
855878 | 855878 | 2022-09-30 | US | New York | Otsego | 36077 | 12328 | 98 | 0 | 42.63492579 | -75.03151402 | 2022-10-01 04:23:01 | Otsego, New York, US | |
855879 | 855879 | 2022-09-30 | US | New York | Out of NY | 80036 | 0 | 512 | 0 | 44.74530905 | 0.0 | 2022-10-01 04:23:01 | Out of NY, New York, US | |
855880 | 855880 | 2022-09-30 | US | New York | Putnam | 36079 | 28741 | 131 | 0 | 41.42630093 | -73.74965532 | 2022-10-01 04:23:01 | Putnam, New York, US | |
855881 | 855881 | 2022-09-30 | US | New York | Queens | 36081 | 796990 | 12366 | 0 | 40.71088124 | -73.81684712 | 2022-10-01 04:23:01 | Queens, New York, US | |
855882 | 855882 | 2022-09-30 | US | New York | Rensselaer | 36083 | 38823 | 284 | 0 | 42.71348136 | -73.51089874 | 2022-10-01 04:23:01 | Rensselaer, New York, US | |
855883 | 855883 | 2022-09-30 | US | New York | Richmond | 36085 | 202603 | 2482 | 0 | 40.58582155 | -74.14808598 | 2022-10-01 04:23:01 | Richmond, New York, US | |
855884 | 855884 | 2022-09-30 | US | New York | Rockland | 36087 | 108970 | 929 | 0 | 41.15027894 | -74.02560498 | 2022-10-01 04:23:01 | Rockland, New York, US | |
855885 | 855885 | 2022-09-30 | US | New York | Saratoga | 36091 | 57123 | 364 | 0 | 43.10904162 | -73.86653895 | 2022-10-01 04:23:01 | Saratoga, New York, US | |
855886 | 855886 | 2022-09-30 | US | New York | Schenectady | 36093 | 40562 | 334 | 0 | 42.81668777 | -74.05278291 | 2022-10-01 04:23:01 | Schenectady, New York, US | |
855887 | 855887 | 2022-09-30 | US | New York | Schoharie | 36095 | 6071 | 37 | 0 | 42.58831742 | -74.4433903 | 2022-10-01 04:23:01 | Schoharie, New York, US | |
855888 | 855888 | 2022-09-30 | US | New York | Schuyler | 36097 | 4081 | 28 | 0 | 42.39184015 | -76.8773299 | 2022-10-01 04:23:01 | Schuyler, New York, US | |
855889 | 855889 | 2022-09-30 | US | New York | Seneca | 36099 | 7030 | 94 | 0 | 42.78081007 | -76.82497064 | 2022-10-01 04:23:01 | Seneca, New York, US | |
855890 | 855890 | 2022-09-30 | US | New York | St. Lawrence | 36089 | 24780 | 207 | 0 | 44.4976179 | -75.06550039 | 2022-10-01 04:23:01 | St. Lawrence, New York, US | |
855891 | 855891 | 2022-09-30 | US | New York | Steuben | 36101 | 23545 | 262 | 0 | 42.2689144 | -77.3829924 | 2022-10-01 04:23:01 | Steuben, New York, US | |
855892 | 855892 | 2022-09-30 | US | New York | Suffolk | 36103 | 514763 | 4605 | 0 | 40.88320119 | -72.8012172 | 2022-10-01 04:23:01 | Suffolk, New York, US | |
855893 | 855893 | 2022-09-30 | US | New York | Sullivan | 36105 | 22268 | 137 | 0 | 41.71579493 | -74.76394559 | 2022-10-01 04:23:01 | Sullivan, New York, US | |
855894 | 855894 | 2022-09-30 | US | New York | Tioga | 36107 | 13007 | 88 | 0 | 42.16852837 | -76.30835812 | 2022-10-01 04:23:01 | Tioga, New York, US | |
855895 | 855895 | 2022-09-30 | US | New York | Tompkins | 36109 | 24692 | 94 | 0 | 42.44945765 | -76.47229843 | 2022-10-01 04:23:01 | Tompkins, New York, US | |
855896 | 855896 | 2022-09-30 | US | New York | Ulster | 36111 | 39208 | 387 | 0 | 41.89027881 | -74.26252104 | 2022-10-01 04:23:01 | Ulster, New York, US | |
855897 | 855897 | 2022-09-30 | US | New York | Unassigned | 90036 | 923 | 2 | 0 | 44.74530905 | 0.0 | 2022-10-01 04:23:01 | Unassigned, New York, US | |
855898 | 855898 | 2022-09-30 | US | New York | Warren | 36113 | 17232 | 137 | 0 | 43.56173026 | -73.8433699 | 2022-10-01 04:23:01 | Warren, New York, US | |
855899 | 855899 | 2022-09-30 | US | New York | Washington | 36115 | 14536 | 127 | 0 | 43.31153794 | -73.43043448 | 2022-10-01 04:23:01 | Washington, New York, US | |
855900 | 855900 | 2022-09-30 | US | New York | Wayne | 36117 | 20323 | 195 | 0 | 43.15494365 | -77.02976528 | 2022-10-01 04:23:01 | Wayne, New York, US | |
855901 | 855901 | 2022-09-30 | US | New York | Westchester | 36119 | 305607 | 2828 | 0 | 41.16278376 | -73.75741653 | 2022-10-01 04:23:01 | Westchester, New York, US | |
855902 | 855902 | 2022-09-30 | US | New York | Wyoming | 36121 | 9400 | 87 | 0 | 42.70145109 | -78.22199579 | 2022-10-01 04:23:01 | Wyoming, New York, US | |
855903 | 855903 | 2022-09-30 | US | New York | Yates | 36123 | 4113 | 40 | 0 | 42.63505484 | -77.10369919 | 2022-10-01 04:23:01 | Yates, New York, US |
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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]);