johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
64 rows where "last_update" is on date 2022-10-30 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
914433 | 914433 | 2022-10-29 | US | New York | Albany | 36001 | 74586 | 568 | 0 | 42.60060306 | -73.97723916 | 2022-10-30 04:22:14 | Albany, New York, US | |
914434 | 914434 | 2022-10-29 | US | New York | Allegany | 36003 | 10312 | 163 | 0 | 42.25748406 | -78.02750466 | 2022-10-30 04:22:14 | Allegany, New York, US | |
914435 | 914435 | 2022-10-29 | US | New York | Bronx | 36005 | 496890 | 8205 | 0 | 40.85209301 | -73.86282755 | 2022-10-30 04:22:14 | Bronx, New York, US | |
914436 | 914436 | 2022-10-29 | US | New York | Broome | 36007 | 55560 | 564 | 0 | 42.15903158 | -75.81326086 | 2022-10-30 04:22:14 | Broome, New York, US | |
914437 | 914437 | 2022-10-29 | US | New York | Cattaraugus | 36009 | 18484 | 240 | 0 | 42.24778241 | -78.67923096 | 2022-10-30 04:22:14 | Cattaraugus, New York, US | |
914438 | 914438 | 2022-10-29 | US | New York | Cayuga | 36011 | 19448 | 167 | 0 | 42.91261714 | -76.55731592 | 2022-10-30 04:22:14 | Cayuga, New York, US | |
914439 | 914439 | 2022-10-29 | US | New York | Chautauqua | 36013 | 28168 | 322 | 0 | 42.2276921 | -79.36691763 | 2022-10-30 04:22:14 | Chautauqua, New York, US | |
914440 | 914440 | 2022-10-29 | US | New York | Chemung | 36015 | 25320 | 247 | 0 | 42.13891056 | -76.7638805 | 2022-10-30 04:22:14 | Chemung, New York, US | |
914441 | 914441 | 2022-10-29 | US | New York | Chenango | 36017 | 11238 | 127 | 0 | 42.49430041 | -75.60887553 | 2022-10-30 04:22:14 | Chenango, New York, US | |
914442 | 914442 | 2022-10-29 | US | New York | Clinton | 36019 | 21267 | 109 | 0 | 44.74530905 | -73.67875352 | 2022-10-30 04:22:14 | Clinton, New York, US | |
914443 | 914443 | 2022-10-29 | US | New York | Columbia | 36021 | 12920 | 159 | 0 | 42.24819348 | -73.63089095 | 2022-10-30 04:22:14 | Columbia, New York, US | |
914444 | 914444 | 2022-10-29 | US | New York | Cortland | 36023 | 12709 | 129 | 0 | 42.59509207 | -76.07048931 | 2022-10-30 04:22:14 | Cortland, New York, US | |
914445 | 914445 | 2022-10-29 | US | New York | Delaware | 36025 | 9576 | 85 | 0 | 42.19837623 | -74.96709306 | 2022-10-30 04:22:14 | Delaware, New York, US | |
914446 | 914446 | 2022-10-29 | US | New York | Dutchess | 36027 | 78722 | 707 | 0 | 41.7648606 | -73.74356679 | 2022-10-30 04:22:14 | Dutchess, New York, US | |
914447 | 914447 | 2022-10-29 | US | New York | Erie | 36029 | 256676 | 2787 | 0 | 42.76249024 | -78.73063652 | 2022-10-30 04:22:14 | Erie, New York, US | |
914448 | 914448 | 2022-10-29 | US | New York | Essex | 36031 | 7233 | 70 | 0 | 44.11630765 | -73.77297842 | 2022-10-30 04:22:14 | Essex, New York, US | |
914449 | 914449 | 2022-10-29 | US | New York | Franklin | 36033 | 11577 | 51 | 0 | 44.59040891 | -74.29926032 | 2022-10-30 04:22:14 | Franklin, New York, US | |
914450 | 914450 | 2022-10-29 | US | New York | Fulton | 36035 | 15762 | 180 | 0 | 43.11363907 | -74.41798804 | 2022-10-30 04:22:14 | Fulton, New York, US | |
914451 | 914451 | 2022-10-29 | US | New York | Genesee | 36037 | 15865 | 203 | 0 | 43.0022601 | -78.19135193 | 2022-10-30 04:22:14 | Genesee, New York, US | |
914452 | 914452 | 2022-10-29 | US | New York | Greene | 36039 | 10301 | 139 | 0 | 42.275797 | -74.12384884 | 2022-10-30 04:22:14 | Greene, New York, US | |
914453 | 914453 | 2022-10-29 | US | New York | Hamilton | 36041 | 1030 | 5 | 0 | 43.66146647 | -74.49721957 | 2022-10-30 04:22:14 | Hamilton, New York, US | |
914454 | 914454 | 2022-10-29 | US | New York | Herkimer | 36043 | 16717 | 207 | 0 | 43.42034246 | -74.96145307 | 2022-10-30 04:22:14 | Herkimer, New York, US | |
914455 | 914455 | 2022-10-29 | US | New York | Jefferson | 36045 | 25227 | 146 | 0 | 44.04200959 | -75.94653457 | 2022-10-30 04:22:14 | Jefferson, New York, US | |
914456 | 914456 | 2022-10-29 | US | New York | Kings | 36047 | 872952 | 13570 | 0 | 40.6361825 | -73.94935552 | 2022-10-30 04:22:14 | Kings, New York, US | |
914457 | 914457 | 2022-10-29 | US | New York | Lewis | 36049 | 7025 | 53 | 0 | 43.7844157 | -75.44903992 | 2022-10-30 04:22:14 | Lewis, New York, US | |
914458 | 914458 | 2022-10-29 | US | New York | Livingston | 36051 | 13735 | 129 | 0 | 42.72596275 | -77.77966158 | 2022-10-30 04:22:14 | Livingston, New York, US | |
914459 | 914459 | 2022-10-29 | US | New York | Madison | 36053 | 16080 | 139 | 0 | 42.91653905 | -75.67266639 | 2022-10-30 04:22:14 | Madison, New York, US | |
914460 | 914460 | 2022-10-29 | US | New York | Monroe | 36055 | 182362 | 1739 | 0 | 43.14638895 | -77.69322942 | 2022-10-30 04:22:14 | Monroe, New York, US | |
914461 | 914461 | 2022-10-29 | US | New York | Montgomery | 36057 | 14347 | 222 | 0 | 42.90123494 | -74.44011632 | 2022-10-30 04:22:14 | Montgomery, New York, US | |
914462 | 914462 | 2022-10-29 | US | New York | Nassau | 36059 | 506855 | 4065 | 0 | 40.74066522 | -73.58941873 | 2022-10-30 04:22:14 | Nassau, New York, US | |
914463 | 914463 | 2022-10-29 | US | New York | New York | 36061 | 543679 | 5853 | 0 | 40.7672726 | -73.97152637 | 2022-10-30 04:22:14 | New York, New York, US | |
914464 | 914464 | 2022-10-29 | US | New York | Niagara | 36063 | 57055 | 613 | 0 | 43.19898042 | -78.74777412 | 2022-10-30 04:22:14 | Niagara, New York, US | |
914465 | 914465 | 2022-10-29 | US | New York | Oneida | 36065 | 65823 | 843 | 0 | 43.24375382 | -75.43710392 | 2022-10-30 04:22:14 | Oneida, New York, US | |
914466 | 914466 | 2022-10-29 | US | New York | Onondaga | 36067 | 136644 | 1144 | 0 | 43.00491923 | -76.19971155 | 2022-10-30 04:22:14 | Onondaga, New York, US | |
914467 | 914467 | 2022-10-29 | US | New York | Ontario | 36069 | 24666 | 201 | 0 | 42.85145728 | -77.30874425 | 2022-10-30 04:22:14 | Ontario, New York, US | |
914468 | 914468 | 2022-10-29 | US | New York | Orange | 36071 | 137702 | 1232 | 0 | 41.40337468 | -74.30240757 | 2022-10-30 04:22:14 | Orange, New York, US | |
914469 | 914469 | 2022-10-29 | US | New York | Orleans | 36073 | 10068 | 123 | 0 | 43.2516977 | -78.2320066 | 2022-10-30 04:22:14 | Orleans, New York, US | |
914470 | 914470 | 2022-10-29 | US | New York | Oswego | 36075 | 32964 | 214 | 0 | 43.42778894 | -76.14635194 | 2022-10-30 04:22:14 | Oswego, New York, US | |
914471 | 914471 | 2022-10-29 | US | New York | Otsego | 36077 | 12616 | 98 | 0 | 42.63492579 | -75.03151402 | 2022-10-30 04:22:14 | Otsego, New York, US | |
914472 | 914472 | 2022-10-29 | US | New York | Out of NY | 80036 | 0 | 521 | 0 | 44.74530905 | 0.0 | 2022-10-30 04:22:14 | Out of NY, New York, US | |
914473 | 914473 | 2022-10-29 | US | New York | Putnam | 36079 | 29249 | 136 | 0 | 41.42630093 | -73.74965532 | 2022-10-30 04:22:14 | Putnam, New York, US | |
914474 | 914474 | 2022-10-29 | US | New York | Queens | 36081 | 812952 | 12778 | 0 | 40.71088124 | -73.81684712 | 2022-10-30 04:22:14 | Queens, New York, US | |
914475 | 914475 | 2022-10-29 | US | New York | Rensselaer | 36083 | 39710 | 291 | 0 | 42.71348136 | -73.51089874 | 2022-10-30 04:22:14 | Rensselaer, New York, US | |
914476 | 914476 | 2022-10-29 | US | New York | Richmond | 36085 | 207205 | 2532 | 0 | 40.58582155 | -74.14808598 | 2022-10-30 04:22:14 | Richmond, New York, US | |
914477 | 914477 | 2022-10-29 | US | New York | Rockland | 36087 | 110668 | 935 | 0 | 41.15027894 | -74.02560498 | 2022-10-30 04:22:14 | Rockland, New York, US | |
914478 | 914478 | 2022-10-29 | US | New York | Saratoga | 36091 | 58336 | 374 | 0 | 43.10904162 | -73.86653895 | 2022-10-30 04:22:14 | Saratoga, New York, US | |
914479 | 914479 | 2022-10-29 | US | New York | Schenectady | 36093 | 41446 | 339 | 0 | 42.81668777 | -74.05278291 | 2022-10-30 04:22:14 | Schenectady, New York, US | |
914480 | 914480 | 2022-10-29 | US | New York | Schoharie | 36095 | 6236 | 40 | 0 | 42.58831742 | -74.4433903 | 2022-10-30 04:22:14 | Schoharie, New York, US | |
914481 | 914481 | 2022-10-29 | US | New York | Schuyler | 36097 | 4173 | 30 | 0 | 42.39184015 | -76.8773299 | 2022-10-30 04:22:14 | Schuyler, New York, US | |
914482 | 914482 | 2022-10-29 | US | New York | Seneca | 36099 | 7233 | 94 | 0 | 42.78081007 | -76.82497064 | 2022-10-30 04:22:14 | Seneca, New York, US | |
914483 | 914483 | 2022-10-29 | US | New York | St. Lawrence | 36089 | 25322 | 210 | 0 | 44.4976179 | -75.06550039 | 2022-10-30 04:22:14 | St. Lawrence, New York, US | |
914484 | 914484 | 2022-10-29 | US | New York | Steuben | 36101 | 24070 | 262 | 0 | 42.2689144 | -77.3829924 | 2022-10-30 04:22:14 | Steuben, New York, US | |
914485 | 914485 | 2022-10-29 | US | New York | Suffolk | 36103 | 524543 | 4659 | 0 | 40.88320119 | -72.8012172 | 2022-10-30 04:22:14 | Suffolk, New York, US | |
914486 | 914486 | 2022-10-29 | US | New York | Sullivan | 36105 | 22804 | 140 | 0 | 41.71579493 | -74.76394559 | 2022-10-30 04:22:14 | Sullivan, New York, US | |
914487 | 914487 | 2022-10-29 | US | New York | Tioga | 36107 | 13347 | 88 | 0 | 42.16852837 | -76.30835812 | 2022-10-30 04:22:14 | Tioga, New York, US | |
914488 | 914488 | 2022-10-29 | US | New York | Tompkins | 36109 | 25199 | 96 | 0 | 42.44945765 | -76.47229843 | 2022-10-30 04:22:14 | Tompkins, New York, US | |
914489 | 914489 | 2022-10-29 | US | New York | Ulster | 36111 | 40131 | 392 | 0 | 41.89027881 | -74.26252104 | 2022-10-30 04:22:14 | Ulster, New York, US | |
914490 | 914490 | 2022-10-29 | US | New York | Unassigned | 90036 | 927 | 2 | 0 | 44.74530905 | 0.0 | 2022-10-30 04:22:14 | Unassigned, New York, US | |
914491 | 914491 | 2022-10-29 | US | New York | Warren | 36113 | 17750 | 140 | 0 | 43.56173026 | -73.8433699 | 2022-10-30 04:22:14 | Warren, New York, US | |
914492 | 914492 | 2022-10-29 | US | New York | Washington | 36115 | 14893 | 128 | 0 | 43.31153794 | -73.43043448 | 2022-10-30 04:22:14 | Washington, New York, US | |
914493 | 914493 | 2022-10-29 | US | New York | Wayne | 36117 | 20790 | 198 | 0 | 43.15494365 | -77.02976528 | 2022-10-30 04:22:14 | Wayne, New York, US | |
914494 | 914494 | 2022-10-29 | US | New York | Westchester | 36119 | 310929 | 2850 | 0 | 41.16278376 | -73.75741653 | 2022-10-30 04:22:14 | Westchester, New York, US | |
914495 | 914495 | 2022-10-29 | US | New York | Wyoming | 36121 | 9606 | 89 | 0 | 42.70145109 | -78.22199579 | 2022-10-30 04:22:14 | Wyoming, New York, US | |
914496 | 914496 | 2022-10-29 | US | New York | Yates | 36123 | 4239 | 40 | 0 | 42.63505484 | -77.10369919 | 2022-10-30 04:22:14 | 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]);