covid
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day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-01-09 | US | New York | Albany | 36001 | 46933 | 447 | 0 | 42.60060306 | -73.97723916 | 2022-01-10 04:22:07 | Albany, New York, US | |
2022-01-09 | US | New York | Allegany | 36003 | 7368 | 139 | 0 | 42.25748406 | -78.02750466 | 2022-01-10 04:22:07 | Allegany, New York, US | |
2022-01-09 | US | New York | Bronx | 36005 | 343370 | 7006 | 0 | 40.85209301 | -73.86282755 | 2022-01-10 04:22:07 | Bronx, New York, US | |
2022-01-09 | US | New York | Broome | 36007 | 37225 | 476 | 0 | 42.15903158 | -75.81326086 | 2022-01-10 04:22:07 | Broome, New York, US | |
2022-01-09 | US | New York | Cattaraugus | 36009 | 12346 | 194 | 0 | 42.24778241 | -78.67923096 | 2022-01-10 04:22:07 | Cattaraugus, New York, US | |
2022-01-09 | US | New York | Cayuga | 36011 | 12804 | 123 | 0 | 42.91261714 | -76.55731592 | 2022-01-10 04:22:07 | Cayuga, New York, US | |
2022-01-09 | US | New York | Chautauqua | 36013 | 19262 | 231 | 0 | 42.22769210000001 | -79.36691763 | 2022-01-10 04:22:07 | Chautauqua, New York, US | |
2022-01-09 | US | New York | Chemung | 36015 | 16813 | 197 | 0 | 42.13891056 | -76.7638805 | 2022-01-10 04:22:07 | Chemung, New York, US | |
2022-01-09 | US | New York | Chenango | 36017 | 7408 | 103 | 0 | 42.49430041 | -75.60887553 | 2022-01-10 04:22:07 | Chenango, New York, US | |
2022-01-09 | US | New York | Clinton | 36019 | 11401 | 59 | 0 | 44.74530905 | -73.67875352 | 2022-01-10 04:22:07 | Clinton, New York, US | |
2022-01-09 | US | New York | Columbia | 36021 | 7856 | 124 | 0 | 42.24819348 | -73.63089095 | 2022-01-10 04:22:07 | Columbia, New York, US | |
2022-01-09 | US | New York | Cortland | 36023 | 8160 | 93 | 0 | 42.59509207 | -76.07048931 | 2022-01-10 04:22:07 | Cortland, New York, US | |
2022-01-09 | US | New York | Delaware | 36025 | 6184 | 61 | 0 | 42.19837623 | -74.96709306 | 2022-01-10 04:22:07 | Delaware, New York, US | |
2022-01-09 | US | New York | Dutchess | 36027 | 53157 | 547 | 0 | 41.76486060000001 | -73.74356679 | 2022-01-10 04:22:07 | Dutchess, New York, US | |
2022-01-09 | US | New York | Erie | 36029 | 171021 | 2295 | 0 | 42.76249024 | -78.73063652 | 2022-01-10 04:22:07 | Erie, New York, US | |
2022-01-09 | US | New York | Essex | 36031 | 4230 | 49 | 0 | 44.11630765 | -73.77297842 | 2022-01-10 04:22:07 | Essex, New York, US | |
2022-01-09 | US | New York | Franklin | 36033 | 7097 | 34 | 0 | 44.59040891 | -74.29926032 | 2022-01-10 04:22:07 | Franklin, New York, US | |
2022-01-09 | US | New York | Fulton | 36035 | 9848 | 135 | 0 | 43.11363907 | -74.41798804 | 2022-01-10 04:22:07 | Fulton, New York, US | |
2022-01-09 | US | New York | Genesee | 36037 | 11207 | 164 | 0 | 43.0022601 | -78.19135193 | 2022-01-10 04:22:07 | Genesee, New York, US | |
2022-01-09 | US | New York | Greene | 36039 | 6894 | 102 | 0 | 42.275797 | -74.12384884 | 2022-01-10 04:22:07 | Greene, New York, US | |
2022-01-09 | US | New York | Hamilton | 36041 | 708 | 4 | 0 | 43.66146647 | -74.49721957 | 2022-01-10 04:22:07 | Hamilton, New York, US | |
2022-01-09 | US | New York | Herkimer | 36043 | 11146 | 163 | 0 | 43.42034246 | -74.96145307 | 2022-01-10 04:22:07 | Herkimer, New York, US | |
2022-01-09 | US | New York | Jefferson | 36045 | 14816 | 119 | 0 | 44.04200959 | -75.94653457 | 2022-01-10 04:22:07 | Jefferson, New York, US | |
2022-01-09 | US | New York | Kings | 36047 | 574741 | 11345 | 0 | 40.636182500000004 | -73.94935552 | 2022-01-10 04:22:07 | Kings, New York, US | |
2022-01-09 | US | New York | Lewis | 36049 | 5127 | 42 | 0 | 43.784415700000004 | -75.44903992 | 2022-01-10 04:22:07 | Lewis, New York, US | |
2022-01-09 | US | New York | Livingston | 36051 | 9328 | 96 | 0 | 42.72596275 | -77.77966158 | 2022-01-10 04:22:07 | Livingston, New York, US | |
2022-01-09 | US | New York | Madison | 36053 | 10111 | 118 | 0 | 42.91653905 | -75.67266639 | 2022-01-10 04:22:07 | Madison, New York, US | |
2022-01-09 | US | New York | Monroe | 36055 | 127632 | 1371 | 0 | 43.14638895 | -77.69322942 | 2022-01-10 04:22:07 | Monroe, New York, US | |
2022-01-09 | US | New York | Montgomery | 36057 | 9380 | 179 | 0 | 42.90123494 | -74.44011632 | 2022-01-10 04:22:07 | Montgomery, New York, US | |
2022-01-09 | US | New York | Nassau | 36059 | 350265 | 3472 | 0 | 40.74066522 | -73.58941873 | 2022-01-10 04:22:07 | Nassau, New York, US | |
2022-01-09 | US | New York | New York | 36061 | 335225 | 4795 | 0 | 40.76727260000001 | -73.97152637 | 2022-01-10 04:22:07 | New York, New York, US | |
2022-01-09 | US | New York | Niagara | 36063 | 39167 | 488 | 0 | 43.19898042 | -78.74777412 | 2022-01-10 04:22:07 | Niagara, New York, US | |
2022-01-09 | US | New York | Oneida | 36065 | 43463 | 711 | 0 | 43.24375382 | -75.43710392 | 2022-01-10 04:22:07 | Oneida, New York, US | |
2022-01-09 | US | New York | Onondaga | 36067 | 83866 | 904 | 0 | 43.00491923 | -76.19971155 | 2022-01-10 04:22:07 | Onondaga, New York, US | |
2022-01-09 | US | New York | Ontario | 36069 | 15707 | 149 | 0 | 42.85145728 | -77.30874425 | 2022-01-10 04:22:07 | Ontario, New York, US | |
2022-01-09 | US | New York | Orange | 36071 | 89570 | 982 | 0 | 41.40337468 | -74.30240757 | 2022-01-10 04:22:07 | Orange, New York, US | |
2022-01-09 | US | New York | Orleans | 36073 | 7056 | 104 | 0 | 43.2516977 | -78.2320066 | 2022-01-10 04:22:07 | Orleans, New York, US | |
2022-01-09 | US | New York | Oswego | 36075 | 19323 | 153 | 0 | 43.42778894 | -76.14635194 | 2022-01-10 04:22:07 | Oswego, New York, US | |
2022-01-09 | US | New York | Otsego | 36077 | 7510 | 72 | 0 | 42.63492579 | -75.03151402 | 2022-01-10 04:22:07 | Otsego, New York, US | |
2022-01-09 | US | New York | Out of NY | 80036 | 0 | 400 | 0 | 44.74530905 | 0.0 | 2022-01-10 04:22:07 | Out of NY, New York, US | |
2022-01-09 | US | New York | Putnam | 36079 | 20016 | 108 | 0 | 41.42630093 | -73.74965532 | 2022-01-10 04:22:07 | Putnam, New York, US | |
2022-01-09 | US | New York | Queens | 36081 | 528902 | 10701 | 0 | 40.71088124 | -73.81684712 | 2022-01-10 04:22:07 | Queens, New York, US | |
2022-01-09 | US | New York | Rensselaer | 36083 | 24329 | 221 | 0 | 42.71348136 | -73.51089874 | 2022-01-10 04:22:07 | Rensselaer, New York, US | |
2022-01-09 | US | New York | Richmond | 36085 | 141783 | 2035 | 0 | 40.58582155 | -74.14808598 | 2022-01-10 04:22:07 | Richmond, New York, US | |
2022-01-09 | US | New York | Rockland | 36087 | 78478 | 818 | 0 | 41.15027894 | -74.02560498 | 2022-01-10 04:22:07 | Rockland, New York, US | |
2022-01-09 | US | New York | Saratoga | 36091 | 35955 | 278 | 0 | 43.10904162 | -73.86653895 | 2022-01-10 04:22:07 | Saratoga, New York, US | |
2022-01-09 | US | New York | Schenectady | 36093 | 25976 | 274 | 0 | 42.81668777 | -74.05278291 | 2022-01-10 04:22:07 | Schenectady, New York, US | |
2022-01-09 | US | New York | Schoharie | 36095 | 3812 | 30 | 0 | 42.58831742 | -74.44339029999998 | 2022-01-10 04:22:07 | Schoharie, New York, US | |
2022-01-09 | US | New York | Schuyler | 36097 | 2681 | 23 | 0 | 42.39184015 | -76.8773299 | 2022-01-10 04:22:07 | Schuyler, New York, US | |
2022-01-09 | US | New York | Seneca | 36099 | 4393 | 82 | 0 | 42.78081007 | -76.82497064 | 2022-01-10 04:22:07 | Seneca, New York, US | |
2022-01-09 | US | New York | St. Lawrence | 36089 | 16330 | 161 | 0 | 44.4976179 | -75.06550039 | 2022-01-10 04:22:07 | St. Lawrence, New York, US | |
2022-01-09 | US | New York | Steuben | 36101 | 15779 | 221 | 0 | 42.2689144 | -77.3829924 | 2022-01-10 04:22:07 | Steuben, New York, US | |
2022-01-09 | US | New York | Suffolk | 36103 | 373459 | 3922 | 0 | 40.88320119 | -72.8012172 | 2022-01-10 04:22:07 | Suffolk, New York, US | |
2022-01-09 | US | New York | Sullivan | 36105 | 14756 | 107 | 0 | 41.71579493 | -74.76394559 | 2022-01-10 04:22:07 | Sullivan, New York, US | |
2022-01-09 | US | New York | Tioga | 36107 | 8500 | 79 | 0 | 42.16852837 | -76.30835812 | 2022-01-10 04:22:07 | Tioga, New York, US | |
2022-01-09 | US | New York | Tompkins | 36109 | 13387 | 74 | 0 | 42.44945765 | -76.47229843 | 2022-01-10 04:22:07 | Tompkins, New York, US | |
2022-01-09 | US | New York | Ulster | 36111 | 25225 | 316 | 0 | 41.89027881 | -74.26252104 | 2022-01-10 04:22:07 | Ulster, New York, US | |
2022-01-09 | US | New York | Unassigned | 90036 | 306 | 1 | 0 | 44.74530905 | 0.0 | 2022-01-10 04:22:07 | Unassigned, New York, US | |
2022-01-09 | US | New York | Warren | 36113 | 10523 | 111 | 0 | 43.56173026 | -73.8433699 | 2022-01-10 04:22:07 | Warren, New York, US | |
2022-01-09 | US | New York | Washington | 36115 | 9363 | 94 | 0 | 43.31153794 | -73.43043448 | 2022-01-10 04:22:07 | Washington, New York, US | |
2022-01-09 | US | New York | Wayne | 36117 | 13556 | 135 | 0 | 43.15494365 | -77.02976528 | 2022-01-10 04:22:07 | Wayne, New York, US | |
2022-01-09 | US | New York | Westchester | 36119 | 215425 | 2463 | 0 | 41.16278376 | -73.75741653 | 2022-01-10 04:22:07 | Westchester, New York, US | |
2022-01-09 | US | New York | Wyoming | 36121 | 6885 | 75 | 0 | 42.70145109 | -78.22199579 | 2022-01-10 04:22:07 | Wyoming, New York, US | |
2022-01-09 | US | New York | Yates | 36123 | 2610 | 36 | 0 | 42.63505484 | -77.10369919 | 2022-01-10 04:22:07 | Yates, New York, US |