covid
This data as json, yaml, Notebook, copyable, CSV
day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-19 | US | New York | Albany | 36001 | 74056 | 562 | 0 | 42.60060306 | -73.97723916 | 2022-10-20 04:22:59 | Albany, New York, US | |
2022-10-19 | US | New York | Allegany | 36003 | 10258 | 163 | 0 | 42.25748406 | -78.02750466 | 2022-10-20 04:22:59 | Allegany, New York, US | |
2022-10-19 | US | New York | Bronx | 36005 | 493471 | 8059 | 0 | 40.85209301 | -73.86282755 | 2022-10-20 04:22:59 | Bronx, New York, US | |
2022-10-19 | US | New York | Broome | 36007 | 55158 | 558 | 0 | 42.15903158 | -75.81326086 | 2022-10-20 04:22:59 | Broome, New York, US | |
2022-10-19 | US | New York | Cattaraugus | 36009 | 18365 | 239 | 0 | 42.24778241 | -78.67923096 | 2022-10-20 04:22:59 | Cattaraugus, New York, US | |
2022-10-19 | US | New York | Cayuga | 36011 | 19320 | 167 | 0 | 42.91261714 | -76.55731592 | 2022-10-20 04:22:59 | Cayuga, New York, US | |
2022-10-19 | US | New York | Chautauqua | 36013 | 27997 | 319 | 0 | 42.2276921 | -79.36691763 | 2022-10-20 04:22:59 | Chautauqua, New York, US | |
2022-10-19 | US | New York | Chemung | 36015 | 25121 | 244 | 0 | 42.13891056 | -76.7638805 | 2022-10-20 04:22:59 | Chemung, New York, US | |
2022-10-19 | US | New York | Chenango | 36017 | 11161 | 127 | 0 | 42.49430041 | -75.60887553 | 2022-10-20 04:22:59 | Chenango, New York, US | |
2022-10-19 | US | New York | Clinton | 36019 | 21123 | 107 | 0 | 44.74530905 | -73.67875352 | 2022-10-20 04:22:59 | Clinton, New York, US | |
2022-10-19 | US | New York | Columbia | 36021 | 12845 | 158 | 0 | 42.24819348 | -73.63089095 | 2022-10-20 04:22:59 | Columbia, New York, US | |
2022-10-19 | US | New York | Cortland | 36023 | 12652 | 129 | 0 | 42.59509207 | -76.07048931 | 2022-10-20 04:22:59 | Cortland, New York, US | |
2022-10-19 | US | New York | Delaware | 36025 | 9520 | 84 | 0 | 42.19837623 | -74.96709306 | 2022-10-20 04:22:59 | Delaware, New York, US | |
2022-10-19 | US | New York | Dutchess | 36027 | 78203 | 704 | 0 | 41.7648606 | -73.74356679 | 2022-10-20 04:22:59 | Dutchess, New York, US | |
2022-10-19 | US | New York | Erie | 36029 | 255086 | 2781 | 0 | 42.76249024 | -78.73063652 | 2022-10-20 04:22:59 | Erie, New York, US | |
2022-10-19 | US | New York | Essex | 36031 | 7178 | 69 | 0 | 44.11630765 | -73.77297842 | 2022-10-20 04:22:59 | Essex, New York, US | |
2022-10-19 | US | New York | Franklin | 36033 | 11481 | 51 | 0 | 44.59040891 | -74.29926032 | 2022-10-20 04:22:59 | Franklin, New York, US | |
2022-10-19 | US | New York | Fulton | 36035 | 15653 | 179 | 0 | 43.11363907 | -74.41798804 | 2022-10-20 04:22:59 | Fulton, New York, US | |
2022-10-19 | US | New York | Genesee | 36037 | 15765 | 203 | 0 | 43.0022601 | -78.19135193 | 2022-10-20 04:22:59 | Genesee, New York, US | |
2022-10-19 | US | New York | Greene | 36039 | 10247 | 139 | 0 | 42.275797 | -74.12384884 | 2022-10-20 04:22:59 | Greene, New York, US | |
2022-10-19 | US | New York | Hamilton | 36041 | 1024 | 5 | 0 | 43.66146647 | -74.49721957 | 2022-10-20 04:22:59 | Hamilton, New York, US | |
2022-10-19 | US | New York | Herkimer | 36043 | 16618 | 204 | 0 | 43.42034246 | -74.96145307 | 2022-10-20 04:22:59 | Herkimer, New York, US | |
2022-10-19 | US | New York | Jefferson | 36045 | 25030 | 146 | 0 | 44.04200959 | -75.94653457 | 2022-10-20 04:22:59 | Jefferson, New York, US | |
2022-10-19 | US | New York | Kings | 36047 | 867282 | 13435 | 0 | 40.6361825 | -73.94935552 | 2022-10-20 04:22:59 | Kings, New York, US | |
2022-10-19 | US | New York | Lewis | 36049 | 6986 | 53 | 0 | 43.7844157 | -75.44903992 | 2022-10-20 04:22:59 | Lewis, New York, US | |
2022-10-19 | US | New York | Livingston | 36051 | 13648 | 129 | 0 | 42.72596275 | -77.77966158 | 2022-10-20 04:22:59 | Livingston, New York, US | |
2022-10-19 | US | New York | Madison | 36053 | 15994 | 136 | 0 | 42.91653905 | -75.67266639 | 2022-10-20 04:22:59 | Madison, New York, US | |
2022-10-19 | US | New York | Monroe | 36055 | 181296 | 1729 | 0 | 43.14638895 | -77.69322942 | 2022-10-20 04:22:59 | Monroe, New York, US | |
2022-10-19 | US | New York | Montgomery | 36057 | 14229 | 222 | 0 | 42.90123494 | -74.44011632 | 2022-10-20 04:22:59 | Montgomery, New York, US | |
2022-10-19 | US | New York | Nassau | 36059 | 503372 | 4052 | 0 | 40.74066522 | -73.58941873 | 2022-10-20 04:22:59 | Nassau, New York, US | |
2022-10-19 | US | New York | New York | 36061 | 539711 | 5767 | 0 | 40.7672726 | -73.97152637 | 2022-10-20 04:22:59 | New York, New York, US | |
2022-10-19 | US | New York | Niagara | 36063 | 56650 | 613 | 0 | 43.19898042 | -78.74777412 | 2022-10-20 04:22:59 | Niagara, New York, US | |
2022-10-19 | US | New York | Oneida | 36065 | 65437 | 838 | 0 | 43.24375382 | -75.43710392 | 2022-10-20 04:22:59 | Oneida, New York, US | |
2022-10-19 | US | New York | Onondaga | 36067 | 135849 | 1139 | 0 | 43.00491923 | -76.19971155 | 2022-10-20 04:22:59 | Onondaga, New York, US | |
2022-10-19 | US | New York | Ontario | 36069 | 24494 | 199 | 0 | 42.85145728 | -77.30874425 | 2022-10-20 04:22:59 | Ontario, New York, US | |
2022-10-19 | US | New York | Orange | 36071 | 136636 | 1230 | 0 | 41.40337468 | -74.30240757 | 2022-10-20 04:22:59 | Orange, New York, US | |
2022-10-19 | US | New York | Orleans | 36073 | 10003 | 122 | 0 | 43.2516977 | -78.2320066 | 2022-10-20 04:22:59 | Orleans, New York, US | |
2022-10-19 | US | New York | Oswego | 36075 | 32707 | 213 | 0 | 43.42778894 | -76.14635194 | 2022-10-20 04:22:59 | Oswego, New York, US | |
2022-10-19 | US | New York | Otsego | 36077 | 12531 | 98 | 0 | 42.63492579 | -75.03151402 | 2022-10-20 04:22:59 | Otsego, New York, US | |
2022-10-19 | US | New York | Out of NY | 80036 | 0 | 516 | 0 | 44.74530905 | 0.0 | 2022-10-20 04:22:59 | Out of NY, New York, US | |
2022-10-19 | US | New York | Putnam | 36079 | 29077 | 135 | 0 | 41.42630093 | -73.74965532 | 2022-10-20 04:22:59 | Putnam, New York, US | |
2022-10-19 | US | New York | Queens | 36081 | 807537 | 12448 | 0 | 40.71088124 | -73.81684712 | 2022-10-20 04:22:59 | Queens, New York, US | |
2022-10-19 | US | New York | Rensselaer | 36083 | 39425 | 290 | 0 | 42.71348136 | -73.51089874 | 2022-10-20 04:22:59 | Rensselaer, New York, US | |
2022-10-19 | US | New York | Richmond | 36085 | 205848 | 2506 | 0 | 40.58582155 | -74.14808598 | 2022-10-20 04:22:59 | Richmond, New York, US | |
2022-10-19 | US | New York | Rockland | 36087 | 109989 | 932 | 0 | 41.15027894 | -74.02560498 | 2022-10-20 04:22:59 | Rockland, New York, US | |
2022-10-19 | US | New York | Saratoga | 36091 | 58025 | 368 | 0 | 43.10904162 | -73.86653895 | 2022-10-20 04:22:59 | Saratoga, New York, US | |
2022-10-19 | US | New York | Schenectady | 36093 | 41134 | 337 | 0 | 42.81668777 | -74.05278291 | 2022-10-20 04:22:59 | Schenectady, New York, US | |
2022-10-19 | US | New York | Schoharie | 36095 | 6187 | 39 | 0 | 42.58831742 | -74.4433903 | 2022-10-20 04:22:59 | Schoharie, New York, US | |
2022-10-19 | US | New York | Schuyler | 36097 | 4144 | 29 | 0 | 42.39184015 | -76.8773299 | 2022-10-20 04:22:59 | Schuyler, New York, US | |
2022-10-19 | US | New York | Seneca | 36099 | 7167 | 94 | 0 | 42.78081007 | -76.82497064 | 2022-10-20 04:22:59 | Seneca, New York, US | |
2022-10-19 | US | New York | St. Lawrence | 36089 | 25172 | 209 | 0 | 44.4976179 | -75.06550039 | 2022-10-20 04:22:59 | St. Lawrence, New York, US | |
2022-10-19 | US | New York | Steuben | 36101 | 23923 | 262 | 0 | 42.2689144 | -77.3829924 | 2022-10-20 04:22:59 | Steuben, New York, US | |
2022-10-19 | US | New York | Suffolk | 36103 | 521255 | 4639 | 0 | 40.88320119 | -72.8012172 | 2022-10-20 04:22:59 | Suffolk, New York, US | |
2022-10-19 | US | New York | Sullivan | 36105 | 22610 | 139 | 0 | 41.71579493 | -74.76394559 | 2022-10-20 04:22:59 | Sullivan, New York, US | |
2022-10-19 | US | New York | Tioga | 36107 | 13222 | 88 | 0 | 42.16852837 | -76.30835812 | 2022-10-20 04:22:59 | Tioga, New York, US | |
2022-10-19 | US | New York | Tompkins | 36109 | 25038 | 95 | 0 | 42.44945765 | -76.47229843 | 2022-10-20 04:22:59 | Tompkins, New York, US | |
2022-10-19 | US | New York | Ulster | 36111 | 39811 | 390 | 0 | 41.89027881 | -74.26252104 | 2022-10-20 04:22:59 | Ulster, New York, US | |
2022-10-19 | US | New York | Unassigned | 90036 | 924 | 2 | 0 | 44.74530905 | 0.0 | 2022-10-20 04:22:59 | Unassigned, New York, US | |
2022-10-19 | US | New York | Warren | 36113 | 17592 | 140 | 0 | 43.56173026 | -73.8433699 | 2022-10-20 04:22:59 | Warren, New York, US | |
2022-10-19 | US | New York | Washington | 36115 | 14791 | 128 | 0 | 43.31153794 | -73.43043448 | 2022-10-20 04:22:59 | Washington, New York, US | |
2022-10-19 | US | New York | Wayne | 36117 | 20642 | 197 | 0 | 43.15494365 | -77.02976528 | 2022-10-20 04:22:59 | Wayne, New York, US | |
2022-10-19 | US | New York | Westchester | 36119 | 309063 | 2847 | 0 | 41.16278376 | -73.75741653 | 2022-10-20 04:22:59 | Westchester, New York, US | |
2022-10-19 | US | New York | Wyoming | 36121 | 9527 | 89 | 0 | 42.70145109 | -78.22199579 | 2022-10-20 04:22:59 | Wyoming, New York, US | |
2022-10-19 | US | New York | Yates | 36123 | 4206 | 40 | 0 | 42.63505484 | -77.10369919 | 2022-10-20 04:22:59 | Yates, New York, US |