04-25-2020
Data source: Big Local News · About: README
3,134 rows sorted by Last_Update
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Suggested facets: Last_Update (date)
Link | rowid | FIPS | Admin2 | Province_State | Country_Region | Last_Update ▼ | Lat | Long_ | Confirmed | Deaths | Recovered | Active | Combined_Key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2923 | 2923 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2939 | 2939 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2942 | 2942 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2917 | 2917 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2896 | 2896 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2894 | 2894 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2906 | 2906 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2899 | 2899 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.614 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2887 | 2887 | Gansu | China | 2020-04-16 13:44:14 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2902 | 2902 | Hunan | China | 2020-04-18 01:15:10 | 27.6104 | 111.7088 | 1019 | 4 | 1015 | 0 | Hunan, China | ||
2895 | 2895 | Guizhou | China | 2020-04-19 00:51:07 | 26.8154 | 106.8748 | 147 | 2 | 145 | 0 | Guizhou, China | ||
2908 | 2908 | Liaoning | China | 2020-04-20 01:20:14 | 41.2956 | 122.6085 | 146 | 2 | 143 | 1 | Liaoning, China | ||
26 | 26 | 36001 | Albany | New York | US | 2020-04-24 00:00:00 | 42.60060306 | -73.97723916 | 899 | 31 | 0 | 868 | Albany, New York, US |
38 | 38 | 36003 | Allegany | New York | US | 2020-04-24 00:00:00 | 42.25748406 | -78.02750466 | 35 | 2 | 0 | 33 | Allegany, New York, US |
248 | 248 | 36007 | Broome | New York | US | 2020-04-24 00:00:00 | 42.15903158 | -75.81326086 | 251 | 17 | 0 | 234 | Broome, New York, US |
386 | 386 | 36009 | Cattaraugus | New York | US | 2020-04-24 00:00:00 | 42.24778241 | -78.67923096 | 45 | 0 | 0 | 45 | Cattaraugus, New York, US |
387 | 387 | 36011 | Cayuga | New York | US | 2020-04-24 00:00:00 | 42.91261714 | -76.55731592 | 47 | 1 | 0 | 46 | Cayuga, New York, US |
416 | 416 | 36013 | Chautauqua | New York | US | 2020-04-24 00:00:00 | 42.22769210000001 | -79.36691763 | 27 | 3 | 0 | 24 | Chautauqua, New York, US |
421 | 421 | 36015 | Chemung | New York | US | 2020-04-24 00:00:00 | 42.13891056 | -76.7638805 | 103 | 1 | 0 | 102 | Chemung, New York, US |
422 | 422 | 36017 | Chenango | New York | US | 2020-04-24 00:00:00 | 42.49430041 | -75.60887553 | 91 | 0 | 0 | 91 | Chenango, New York, US |
521 | 521 | 36019 | Clinton | New York | US | 2020-04-24 00:00:00 | 44.74530905 | -73.67875352 | 54 | 4 | 0 | 50 | Clinton, New York, US |
551 | 551 | 36021 | Columbia | New York | US | 2020-04-24 00:00:00 | 42.24819348 | -73.63089095 | 140 | 13 | 0 | 127 | Columbia, New York, US |
577 | 577 | 36023 | Cortland | New York | US | 2020-04-24 00:00:00 | 42.59509207 | -76.07048931 | 28 | 0 | 0 | 28 | Cortland, New York, US |
685 | 685 | 36025 | Delaware | New York | US | 2020-04-24 00:00:00 | 42.19837623 | -74.96709306 | 58 | 4 | 0 | 54 | Delaware, New York, US |
744 | 744 | 36027 | Dutchess | New York | US | 2020-04-24 00:00:00 | 41.76486060000001 | -73.74356679 | 2660 | 35 | 0 | 2625 | Dutchess, New York, US |
783 | 783 | 36029 | Erie | New York | US | 2020-04-24 00:00:00 | 42.76249024 | -78.73063652 | 2773 | 198 | 0 | 2575 | Erie, New York, US |
790 | 790 | 36031 | Essex | New York | US | 2020-04-24 00:00:00 | 44.11630765 | -73.77297842 | 24 | 0 | 0 | 24 | Essex, New York, US |
865 | 865 | 36033 | Franklin | New York | US | 2020-04-24 00:00:00 | 44.59040891 | -74.29926032 | 14 | 0 | 0 | 14 | Franklin, New York, US |
890 | 890 | 36035 | Fulton | New York | US | 2020-04-24 00:00:00 | 43.11363907 | -74.41798804 | 61 | 0 | 0 | 61 | Fulton, New York, US |
917 | 917 | 36037 | Genesee | New York | US | 2020-04-24 00:00:00 | 43.0022601 | -78.19135193 | 141 | 3 | 0 | 138 | Genesee, New York, US |
992 | 992 | 36039 | Greene | New York | US | 2020-04-24 00:00:00 | 42.275797 | -74.12384884 | 107 | 5 | 0 | 102 | Greene, New York, US |
1033 | 1033 | 36041 | Hamilton | New York | US | 2020-04-24 00:00:00 | 43.66146647 | -74.49721957 | 3 | 0 | 0 | 3 | Hamilton, New York, US |
1114 | 1114 | 36043 | Herkimer | New York | US | 2020-04-24 00:00:00 | 43.42034246 | -74.96145307 | 56 | 3 | 0 | 53 | Herkimer, New York, US |
1253 | 1253 | 36045 | Jefferson | New York | US | 2020-04-24 00:00:00 | 44.04200959 | -75.94653457 | 59 | 0 | 0 | 59 | Jefferson, New York, US |
1456 | 1456 | 36049 | Lewis | New York | US | 2020-04-24 00:00:00 | 43.7844157 | -75.44903992 | 9 | 0 | 0 | 9 | Lewis, New York, US |
1503 | 1503 | 36051 | Livingston | New York | US | 2020-04-24 00:00:00 | 42.72596275 | -77.77966158 | 58 | 5 | 0 | 53 | Livingston, New York, US |
1566 | 1566 | 36053 | Madison | New York | US | 2020-04-24 00:00:00 | 42.91653905 | -75.67266639 | 121 | 5 | 0 | 116 | Madison, New York, US |
1750 | 1750 | 36055 | Monroe | New York | US | 2020-04-24 00:00:00 | 43.14638895 | -77.69322942 | 1285 | 96 | 0 | 1189 | Monroe, New York, US |
1771 | 1771 | 36057 | Montgomery | New York | US | 2020-04-24 00:00:00 | 42.90123494 | -74.44011632 | 46 | 1 | 0 | 45 | Montgomery, New York, US |
1825 | 1825 | 36059 | Nassau | New York | US | 2020-04-24 00:00:00 | 40.74066522 | -73.58941873 | 33798 | 1558 | 0 | 32240 | Nassau, New York, US |
1856 | 1856 | 36063 | Niagara | New York | US | 2020-04-24 00:00:00 | 43.19898042 | -78.74777412 | 344 | 21 | 0 | 323 | Niagara, New York, US |
1909 | 1909 | 36065 | Oneida | New York | US | 2020-04-24 00:00:00 | 43.24375382 | -75.43710392 | 364 | 11 | 0 | 353 | Oneida, New York, US |
1911 | 1911 | 36067 | Onondaga | New York | US | 2020-04-24 00:00:00 | 43.00491923 | -76.19971155 | 664 | 25 | 0 | 639 | Onondaga, New York, US |
1913 | 1913 | 36069 | Ontario | New York | US | 2020-04-24 00:00:00 | 42.85145728 | -77.30874425 | 82 | 9 | 0 | 73 | Ontario, New York, US |
1918 | 1918 | 36071 | Orange | New York | US | 2020-04-24 00:00:00 | 41.40337468 | -74.30240757 | 7973 | 274 | 0 | 7699 | Orange, New York, US |
1926 | 1926 | 36073 | Orleans | New York | US | 2020-04-24 00:00:00 | 43.2516977 | -78.2320066 | 75 | 7 | 0 | 68 | Orleans, New York, US |
1936 | 1936 | 36075 | Oswego | New York | US | 2020-04-24 00:00:00 | 43.42778894 | -76.14635194 | 57 | 2 | 0 | 55 | Oswego, New York, US |
1941 | 1941 | 36077 | Otsego | New York | US | 2020-04-24 00:00:00 | 42.63492579 | -75.03151402 | 60 | 4 | 0 | 56 | Otsego, New York, US |
2119 | 2119 | 36079 | Putnam | New York | US | 2020-04-24 00:00:00 | 41.42630093 | -73.74965532 | 885 | 7 | 0 | 878 | Putnam, New York, US |
2156 | 2156 | 36083 | Rensselaer | New York | US | 2020-04-24 00:00:00 | 42.71348136 | -73.51089874 | 221 | 11 | 0 | 210 | Rensselaer, New York, US |
2199 | 2199 | 36087 | Rockland | New York | US | 2020-04-24 00:00:00 | 41.15027894 | -74.02560498 | 11091 | 453 | 0 | 10638 | Rockland, New York, US |
2264 | 2264 | 36091 | Saratoga | New York | US | 2020-04-24 00:00:00 | 43.10904162 | -73.86653895 | 320 | 11 | 0 | 309 | Saratoga, New York, US |
2270 | 2270 | 36093 | Schenectady | New York | US | 2020-04-24 00:00:00 | 42.81668777 | -74.05278291 | 431 | 15 | 0 | 416 | Schenectady, New York, US |
2272 | 2272 | 36095 | Schoharie | New York | US | 2020-04-24 00:00:00 | 42.58831742 | -74.44339029999998 | 33 | 0 | 0 | 33 | Schoharie, New York, US |
2275 | 2275 | 36097 | Schuyler | New York | US | 2020-04-24 00:00:00 | 42.39184015 | -76.8773299 | 7 | 0 | 0 | 7 | Schuyler, New York, US |
2299 | 2299 | 36099 | Seneca | New York | US | 2020-04-24 00:00:00 | 42.78081007 | -76.82497064 | 36 | 0 | 0 | 36 | Seneca, New York, US |
2384 | 2384 | 36089 | St. Lawrence | New York | US | 2020-04-24 00:00:00 | 44.4976179 | -75.06550039 | 156 | 0 | 0 | 156 | St. Lawrence, New York, US |
2414 | 2414 | 36101 | Steuben | New York | US | 2020-04-24 00:00:00 | 42.2689144 | -77.3829924 | 204 | 33 | 0 | 171 | Steuben, New York, US |
2431 | 2431 | 36103 | Suffolk | New York | US | 2020-04-24 00:00:00 | 40.88320119 | -72.8012172 | 31368 | 1042 | 0 | 30326 | Suffolk, New York, US |
2435 | 2435 | 36105 | Sullivan | New York | US | 2020-04-24 00:00:00 | 41.71579493 | -74.76394559 | 689 | 17 | 0 | 672 | Sullivan, New York, US |
2499 | 2499 | 36107 | Tioga | New York | US | 2020-04-24 00:00:00 | 42.16852837 | -76.30835812 | 71 | 5 | 0 | 66 | Tioga, New York, US |
2512 | 2512 | 36109 | Tompkins | New York | US | 2020-04-24 00:00:00 | 42.44945765 | -76.47229843 | 126 | 0 | 0 | 126 | Tompkins, New York, US |
2546 | 2546 | 36111 | Ulster | New York | US | 2020-04-24 00:00:00 | 41.89027881 | -74.26252104 | 1166 | 23 | 0 | 1143 | Ulster, New York, US |
2678 | 2678 | 36113 | Warren | New York | US | 2020-04-24 00:00:00 | 43.56173026 | -73.8433699 | 132 | 0 | 0 | 132 | Warren, New York, US |
2707 | 2707 | 36115 | Washington | New York | US | 2020-04-24 00:00:00 | 43.31153794 | -73.43043448 | 113 | 2 | 0 | 111 | Washington, New York, US |
2734 | 2734 | 36117 | Wayne | New York | US | 2020-04-24 00:00:00 | 43.15494365 | -77.02976528 | 65 | 0 | 0 | 65 | Wayne, New York, US |
2757 | 2757 | 36119 | Westchester | New York | US | 2020-04-24 00:00:00 | 41.16278376 | -73.75741653 | 27231 | 920 | 0 | 26311 | Westchester, New York, US |
2838 | 2838 | 36121 | Wyoming | New York | US | 2020-04-24 00:00:00 | 42.70145109 | -78.22199579 | 57 | 5 | 0 | 52 | Wyoming, New York, US |
2847 | 2847 | 36123 | Yates | New York | US | 2020-04-24 00:00:00 | 42.63505484 | -77.10369919 | 16 | 1 | 0 | 15 | Yates, New York, US |
2878 | 2878 | Chongqing | China | 2020-04-24 00:43:27 | 30.0572 | 107.874 | 579 | 6 | 573 | 0 | Chongqing, China | ||
2905 | 2905 | Jiangsu | China | 2020-04-24 01:27:14 | 32.9711 | 119.455 | 653 | 0 | 646 | 7 | Jiangsu, China | ||
2935 | 2935 | Sichuan | China | 2020-04-24 01:27:14 | 30.6171 | 102.7103 | 561 | 3 | 558 | 0 | Sichuan, China | ||
2869 | 2869 | Anhui | China | 2020-04-24 12:04:47 | 31.8257 | 117.2264 | 991 | 6 | 985 | 0 | Anhui, China | ||
17 | 17 | 53001 | Adams | Washington | US | 2020-04-25 00:00:00 | 46.98299757 | -118.5601734 | 46 | 0 | 0 | 46 | Adams, Washington, US |
87 | 87 | 53003 | Asotin | Washington | US | 2020-04-25 00:00:00 | 46.18894415 | -117.2022851 | 17 | 2 | 0 | 16 | Asotin, Washington, US |
169 | 169 | 53005 | Benton | Washington | US | 2020-04-25 00:00:00 | 46.23946995 | -119.5120834 | 399 | 40 | 0 | 362 | Benton, Washington, US |
420 | 420 | 53007 | Chelan | Washington | US | 2020-04-25 00:00:00 | 47.87046092 | -120.6173956 | 90 | 5 | 0 | 85 | Chelan, Washington, US |
465 | 465 | 53009 | Clallam | Washington | US | 2020-04-25 00:00:00 | 48.04754642 | -123.9226319 | 15 | 0 | 0 | 15 | Clallam, Washington, US |
478 | 478 | 53011 | Clark | Washington | US | 2020-04-25 00:00:00 | 45.77568046 | -122.4829204 | 296 | 20 | 0 | 278 | Clark, Washington, US |
554 | 554 | 53013 | Columbia | Washington | US | 2020-04-25 00:00:00 | 46.29442881 | -117.9051983 | 1 | 0 | 0 | 1 | Columbia, Washington, US |
588 | 588 | 53015 | Cowlitz | Washington | US | 2020-04-25 00:00:00 | 46.19074721 | -122.6782231 | 39 | 0 | 0 | 39 | Cowlitz, Washington, US |
732 | 732 | 53017 | Douglas | Washington | US | 2020-04-25 00:00:00 | 47.7361335 | -119.692937 | 70 | 1 | 0 | 69 | Douglas, Washington, US |
825 | 825 | 53019 | Ferry | Washington | US | 2020-04-25 00:00:00 | 48.471143100000006 | -118.5154041 | 1 | 0 | 0 | 1 | Ferry, Washington, US |
873 | 873 | 53021 | Franklin | Washington | US | 2020-04-25 00:00:00 | 46.53351425 | -118.9018212 | 250 | 6 | 0 | 245 | Franklin, Washington, US |
905 | 905 | 53023 | Garfield | Washington | US | 2020-04-25 00:00:00 | 46.43197502 | -117.5454032 | 0 | 0 | 0 | 0 | Garfield, Washington, US |
967 | 967 | 53025 | Grant | Washington | US | 2020-04-25 00:00:00 | 47.20753737 | -119.4500749 | 150 | 3 | 0 | 148 | Grant, Washington, US |
975 | 975 | 53027 | Grays Harbor | Washington | US | 2020-04-25 00:00:00 | 47.14003705 | -123.7820567 | 12 | 0 | 0 | 12 | Grays Harbor, Washington, US |
1199 | 1199 | 53029 | Island | Washington | US | 2020-04-25 00:00:00 | 48.14713305 | -122.5216407 | 161 | 8 | 0 | 152 | Island, Washington, US |
1260 | 1260 | 53031 | Jefferson | Washington | US | 2020-04-25 00:00:00 | 47.75003077 | -123.56097040000002 | 28 | 0 | 0 | 28 | Jefferson, Washington, US |
1329 | 1329 | 53033 | King | Washington | US | 2020-04-25 00:00:00 | 47.49137892 | -121.8346131 | 5739 | 428 | 0 | 5339 | King, Washington, US |
1339 | 1339 | 53035 | Kitsap | Washington | US | 2020-04-25 00:00:00 | 47.63479026 | -122.6436061 | 144 | 2 | 0 | 142 | Kitsap, Washington, US |
1340 | 1340 | 53037 | Kittitas | Washington | US | 2020-04-25 00:00:00 | 47.12521214 | -120.679439 | 14 | 0 | 0 | 14 | Kittitas, Washington, US |
1344 | 1344 | 53039 | Klickitat | Washington | US | 2020-04-25 00:00:00 | 45.87325839 | -120.7913598 | 16 | 2 | 0 | 13 | Klickitat, Washington, US |
1458 | 1458 | 53041 | Lewis | Washington | US | 2020-04-25 00:00:00 | 46.57756476 | -122.3925769 | 29 | 3 | 0 | 26 | Lewis, Washington, US |
1489 | 1489 | 53043 | Lincoln | Washington | US | 2020-04-25 00:00:00 | 47.57705241 | -118.4194388 | 2 | 0 | 0 | 2 | Lincoln, Washington, US |
1630 | 1630 | 53045 | Mason | Washington | US | 2020-04-25 00:00:00 | 47.35007586 | -123.1863685 | 22 | 1 | 0 | 22 | Mason, Washington, US |
1899 | 1899 | 53047 | Okanogan | Washington | US | 2020-04-25 00:00:00 | 48.54855019 | -119.7387224 | 17 | 1 | 0 | 16 | Okanogan, Washington, US |
1963 | 1963 | 53049 | Pacific | Washington | US | 2020-04-25 00:00:00 | 46.55418369 | -123.7285716 | 4 | 0 | 0 | 4 | Pacific, Washington, US |
1991 | 1991 | 53051 | Pend Oreille | Washington | US | 2020-04-25 00:00:00 | 48.53234021 | -117.2741804 | 2 | 0 | 0 | 2 | Pend Oreille, Washington, US |
2030 | 2030 | 53053 | Pierce | Washington | US | 2020-04-25 00:00:00 | 47.03892768 | -122.1405958 | 1235 | 51 | 0 | 1189 | Pierce, Washington, US |
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CREATE TABLE [04-25-2020] ( [FIPS] INTEGER, [Admin2] TEXT, [Province_State] TEXT, [Country_Region] TEXT, [Last_Update] TEXT, [Lat] FLOAT, [Long_] FLOAT, [Confirmed] INTEGER, [Deaths] INTEGER, [Recovered] INTEGER, [Active] INTEGER, [Combined_Key] TEXT );