johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
64 rows where "last_update" is on date 2022-05-12 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3447064 | 3447064 | 2022-05-11 | US | New York | Albany | 36001 | 63241 | 522 | 0 | 42.60060306 | -73.97723916 | 2022-05-12 04:20:54 | Albany, New York, US | |
3447065 | 3447065 | 2022-05-11 | US | New York | Allegany | 36003 | 9258 | 154 | 0 | 42.25748406 | -78.02750466 | 2022-05-12 04:20:54 | Allegany, New York, US | |
3447066 | 3447066 | 2022-05-11 | US | New York | Bronx | 36005 | 416473 | 7743 | 0 | 40.85209301 | -73.86282755 | 2022-05-12 04:20:54 | Bronx, New York, US | |
3447067 | 3447067 | 2022-05-11 | US | New York | Broome | 36007 | 48812 | 519 | 0 | 42.15903158 | -75.81326086 | 2022-05-12 04:20:54 | Broome, New York, US | |
3447068 | 3447068 | 2022-05-11 | US | New York | Cattaraugus | 36009 | 16081 | 222 | 0 | 42.24778241 | -78.67923096 | 2022-05-12 04:20:54 | Cattaraugus, New York, US | |
3447069 | 3447069 | 2022-05-11 | US | New York | Cayuga | 36011 | 17345 | 152 | 0 | 42.91261714 | -76.55731592 | 2022-05-12 04:20:54 | Cayuga, New York, US | |
3447070 | 3447070 | 2022-05-11 | US | New York | Chautauqua | 36013 | 24499 | 302 | 0 | 42.2276921 | -79.36691763 | 2022-05-12 04:20:54 | Chautauqua, New York, US | |
3447071 | 3447071 | 2022-05-11 | US | New York | Chemung | 36015 | 22545 | 232 | 0 | 42.13891056 | -76.7638805 | 2022-05-12 04:20:54 | Chemung, New York, US | |
3447072 | 3447072 | 2022-05-11 | US | New York | Chenango | 36017 | 9836 | 120 | 0 | 42.49430041 | -75.60887553 | 2022-05-12 04:20:54 | Chenango, New York, US | |
3447073 | 3447073 | 2022-05-11 | US | New York | Clinton | 36019 | 17976 | 90 | 0 | 44.74530905 | -73.67875352 | 2022-05-12 04:20:54 | Clinton, New York, US | |
3447074 | 3447074 | 2022-05-11 | US | New York | Columbia | 36021 | 10734 | 140 | 0 | 42.24819348 | -73.63089095 | 2022-05-12 04:20:54 | Columbia, New York, US | |
3447075 | 3447075 | 2022-05-11 | US | New York | Cortland | 36023 | 11346 | 120 | 0 | 42.59509207 | -76.07048931 | 2022-05-12 04:20:54 | Cortland, New York, US | |
3447076 | 3447076 | 2022-05-11 | US | New York | Delaware | 36025 | 8239 | 72 | 0 | 42.19837623 | -74.96709306 | 2022-05-12 04:20:54 | Delaware, New York, US | |
3447077 | 3447077 | 2022-05-11 | US | New York | Dutchess | 36027 | 66790 | 659 | 0 | 41.7648606 | -73.74356679 | 2022-05-12 04:20:54 | Dutchess, New York, US | |
3447078 | 3447078 | 2022-05-11 | US | New York | Erie | 36029 | 226159 | 2647 | 0 | 42.76249024 | -78.73063652 | 2022-05-12 04:20:54 | Erie, New York, US | |
3447079 | 3447079 | 2022-05-11 | US | New York | Essex | 36031 | 6095 | 60 | 0 | 44.11630765 | -73.77297842 | 2022-05-12 04:20:54 | Essex, New York, US | |
3447080 | 3447080 | 2022-05-11 | US | New York | Franklin | 36033 | 10026 | 46 | 0 | 44.59040891 | -74.29926032 | 2022-05-12 04:20:54 | Franklin, New York, US | |
3447081 | 3447081 | 2022-05-11 | US | New York | Fulton | 36035 | 13402 | 169 | 0 | 43.11363907 | -74.41798804 | 2022-05-12 04:20:54 | Fulton, New York, US | |
3447082 | 3447082 | 2022-05-11 | US | New York | Genesee | 36037 | 14363 | 187 | 0 | 43.0022601 | -78.19135193 | 2022-05-12 04:20:54 | Genesee, New York, US | |
3447083 | 3447083 | 2022-05-11 | US | New York | Greene | 36039 | 9044 | 129 | 0 | 42.275797 | -74.12384884 | 2022-05-12 04:20:54 | Greene, New York, US | |
3447084 | 3447084 | 2022-05-11 | US | New York | Hamilton | 36041 | 919 | 5 | 0 | 43.66146647 | -74.49721957 | 2022-05-12 04:20:54 | Hamilton, New York, US | |
3447085 | 3447085 | 2022-05-11 | US | New York | Herkimer | 36043 | 14798 | 193 | 0 | 43.42034246 | -74.96145307 | 2022-05-12 04:20:54 | Herkimer, New York, US | |
3447086 | 3447086 | 2022-05-11 | US | New York | Jefferson | 36045 | 21358 | 137 | 0 | 44.04200959 | -75.94653457 | 2022-05-12 04:20:54 | Jefferson, New York, US | |
3447087 | 3447087 | 2022-05-11 | US | New York | Kings | 36047 | 726043 | 12844 | 0 | 40.6361825 | -73.94935552 | 2022-05-12 04:20:54 | Kings, New York, US | |
3447088 | 3447088 | 2022-05-11 | US | New York | Lewis | 36049 | 6397 | 49 | 0 | 43.7844157 | -75.44903992 | 2022-05-12 04:20:54 | Lewis, New York, US | |
3447089 | 3447089 | 2022-05-11 | US | New York | Livingston | 36051 | 12295 | 118 | 0 | 42.72596275 | -77.77966158 | 2022-05-12 04:20:54 | Livingston, New York, US | |
3447090 | 3447090 | 2022-05-11 | US | New York | Madison | 36053 | 14290 | 127 | 0 | 42.91653905 | -75.67266639 | 2022-05-12 04:20:54 | Madison, New York, US | |
3447091 | 3447091 | 2022-05-11 | US | New York | Monroe | 36055 | 163021 | 1583 | 0 | 43.14638895 | -77.69322942 | 2022-05-12 04:20:54 | Monroe, New York, US | |
3447092 | 3447092 | 2022-05-11 | US | New York | Montgomery | 36057 | 12444 | 205 | 0 | 42.90123494 | -74.44011632 | 2022-05-12 04:20:54 | Montgomery, New York, US | |
3447093 | 3447093 | 2022-05-11 | US | New York | Nassau | 36059 | 424236 | 3851 | 0 | 40.74066522 | -73.58941873 | 2022-05-12 04:20:54 | Nassau, New York, US | |
3447094 | 3447094 | 2022-05-11 | US | New York | New York | 36061 | 443352 | 5463 | 0 | 40.7672726 | -73.97152637 | 2022-05-12 04:20:54 | New York, New York, US | |
3447095 | 3447095 | 2022-05-11 | US | New York | Niagara | 36063 | 50889 | 583 | 0 | 43.19898042 | -78.74777412 | 2022-05-12 04:20:54 | Niagara, New York, US | |
3447096 | 3447096 | 2022-05-11 | US | New York | Oneida | 36065 | 58246 | 801 | 0 | 43.24375382 | -75.43710392 | 2022-05-12 04:20:54 | Oneida, New York, US | |
3447097 | 3447097 | 2022-05-11 | US | New York | Onondaga | 36067 | 121517 | 1073 | 0 | 43.00491923 | -76.19971155 | 2022-05-12 04:20:54 | Onondaga, New York, US | |
3447098 | 3447098 | 2022-05-11 | US | New York | Ontario | 36069 | 21538 | 180 | 0 | 42.85145728 | -77.30874425 | 2022-05-12 04:20:54 | Ontario, New York, US | |
3447099 | 3447099 | 2022-05-11 | US | New York | Orange | 36071 | 114009 | 1155 | 0 | 41.40337468 | -74.30240757 | 2022-05-12 04:20:54 | Orange, New York, US | |
3447100 | 3447100 | 2022-05-11 | US | New York | Orleans | 36073 | 9084 | 116 | 0 | 43.2516977 | -78.2320066 | 2022-05-12 04:20:54 | Orleans, New York, US | |
3447101 | 3447101 | 2022-05-11 | US | New York | Oswego | 36075 | 28774 | 194 | 0 | 43.42778894 | -76.14635194 | 2022-05-12 04:20:54 | Oswego, New York, US | |
3447102 | 3447102 | 2022-05-11 | US | New York | Otsego | 36077 | 10636 | 88 | 0 | 42.63492579 | -75.03151402 | 2022-05-12 04:20:54 | Otsego, New York, US | |
3447103 | 3447103 | 2022-05-11 | US | New York | Out of NY | 80036 | 0 | 464 | 0 | 44.74530905 | 0.0 | 2022-05-12 04:20:54 | Out of NY, New York, US | |
3447104 | 3447104 | 2022-05-11 | US | New York | Putnam | 36079 | 24801 | 125 | 0 | 41.42630093 | -73.74965532 | 2022-05-12 04:20:54 | Putnam, New York, US | |
3447105 | 3447105 | 2022-05-11 | US | New York | Queens | 36081 | 665738 | 11875 | 0 | 40.71088124 | -73.81684712 | 2022-05-12 04:20:54 | Queens, New York, US | |
3447106 | 3447106 | 2022-05-11 | US | New York | Rensselaer | 36083 | 33730 | 257 | 0 | 42.71348136 | -73.51089874 | 2022-05-12 04:20:54 | Rensselaer, New York, US | |
3447107 | 3447107 | 2022-05-11 | US | New York | Richmond | 36085 | 171882 | 2330 | 0 | 40.58582155 | -74.14808598 | 2022-05-12 04:20:54 | Richmond, New York, US | |
3447108 | 3447108 | 2022-05-11 | US | New York | Rockland | 36087 | 95943 | 897 | 0 | 41.15027894 | -74.02560498 | 2022-05-12 04:20:54 | Rockland, New York, US | |
3447109 | 3447109 | 2022-05-11 | US | New York | Saratoga | 36091 | 49695 | 333 | 0 | 43.10904162 | -73.86653895 | 2022-05-12 04:20:54 | Saratoga, New York, US | |
3447110 | 3447110 | 2022-05-11 | US | New York | Schenectady | 36093 | 35186 | 305 | 0 | 42.81668777 | -74.05278291 | 2022-05-12 04:20:54 | Schenectady, New York, US | |
3447111 | 3447111 | 2022-05-11 | US | New York | Schoharie | 36095 | 5325 | 36 | 0 | 42.58831742 | -74.4433903 | 2022-05-12 04:20:54 | Schoharie, New York, US | |
3447112 | 3447112 | 2022-05-11 | US | New York | Schuyler | 36097 | 3714 | 25 | 0 | 42.39184015 | -76.8773299 | 2022-05-12 04:20:54 | Schuyler, New York, US | |
3447113 | 3447113 | 2022-05-11 | US | New York | Seneca | 36099 | 6369 | 91 | 0 | 42.78081007 | -76.82497064 | 2022-05-12 04:20:54 | Seneca, New York, US | |
3447114 | 3447114 | 2022-05-11 | US | New York | St. Lawrence | 36089 | 22424 | 191 | 0 | 44.4976179 | -75.06550039 | 2022-05-12 04:20:54 | St. Lawrence, New York, US | |
3447115 | 3447115 | 2022-05-11 | US | New York | Steuben | 36101 | 21156 | 253 | 0 | 42.2689144 | -77.3829924 | 2022-05-12 04:20:54 | Steuben, New York, US | |
3447116 | 3447116 | 2022-05-11 | US | New York | Suffolk | 36103 | 443819 | 4397 | 0 | 40.88320119 | -72.8012172 | 2022-05-12 04:20:54 | Suffolk, New York, US | |
3447117 | 3447117 | 2022-05-11 | US | New York | Sullivan | 36105 | 19175 | 130 | 0 | 41.71579493 | -74.76394559 | 2022-05-12 04:20:54 | Sullivan, New York, US | |
3447118 | 3447118 | 2022-05-11 | US | New York | Tioga | 36107 | 11686 | 84 | 0 | 42.16852837 | -76.30835812 | 2022-05-12 04:20:54 | Tioga, New York, US | |
3447119 | 3447119 | 2022-05-11 | US | New York | Tompkins | 36109 | 21071 | 85 | 0 | 42.44945765 | -76.47229843 | 2022-05-12 04:20:54 | Tompkins, New York, US | |
3447120 | 3447120 | 2022-05-11 | US | New York | Ulster | 36111 | 33727 | 363 | 0 | 41.89027881 | -74.26252104 | 2022-05-12 04:20:54 | Ulster, New York, US | |
3447121 | 3447121 | 2022-05-11 | US | New York | Unassigned | 90036 | 579 | 1 | 0 | 44.74530905 | 0.0 | 2022-05-12 04:20:54 | Unassigned, New York, US | |
3447122 | 3447122 | 2022-05-11 | US | New York | Warren | 36113 | 14693 | 129 | 0 | 43.56173026 | -73.8433699 | 2022-05-12 04:20:54 | Warren, New York, US | |
3447123 | 3447123 | 2022-05-11 | US | New York | Washington | 36115 | 12823 | 115 | 0 | 43.31153794 | -73.43043448 | 2022-05-12 04:20:54 | Washington, New York, US | |
3447124 | 3447124 | 2022-05-11 | US | New York | Wayne | 36117 | 18451 | 179 | 0 | 43.15494365 | -77.02976528 | 2022-05-12 04:20:54 | Wayne, New York, US | |
3447125 | 3447125 | 2022-05-11 | US | New York | Westchester | 36119 | 263807 | 2719 | 0 | 41.16278376 | -73.75741653 | 2022-05-12 04:20:54 | Westchester, New York, US | |
3447126 | 3447126 | 2022-05-11 | US | New York | Wyoming | 36121 | 8677 | 84 | 0 | 42.70145109 | -78.22199579 | 2022-05-12 04:20:54 | Wyoming, New York, US | |
3447127 | 3447127 | 2022-05-11 | US | New York | Yates | 36123 | 3696 | 40 | 0 | 42.63505484 | -77.10369919 | 2022-05-12 04:20:54 | 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]);