04-23-2020
Data source: Big Local News · About: README
3,122 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2910 | 2910 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2927 | 2927 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2930 | 2930 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2902 | 2902 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2881 | 2881 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2879 | 2879 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2854 | 2854 | Anhui | China | 2020-04-09 01:12:20 | 31.8257 | 117.2264 | 991 | 6 | 984 | 1 | Anhui, China | ||
2891 | 2891 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2884 | 2884 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.614 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2872 | 2872 | Gansu | China | 2020-04-16 13:44:14 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2887 | 2887 | Hunan | China | 2020-04-18 01:15:10 | 27.6104 | 111.7088 | 1019 | 4 | 1015 | 0 | Hunan, China | ||
2880 | 2880 | Guizhou | China | 2020-04-19 00:51:07 | 26.8154 | 106.8748 | 147 | 2 | 145 | 0 | Guizhou, China | ||
2882 | 2882 | Hebei | China | 2020-04-20 01:20:14 | 39.549 | 116.1306 | 328 | 6 | 317 | 5 | Hebei, China | ||
2893 | 2893 | Liaoning | China | 2020-04-20 01:20:14 | 41.2956 | 122.6085 | 146 | 2 | 143 | 1 | Liaoning, China | ||
2888 | 2888 | Inner Mongolia | China | 2020-04-21 01:04:31 | 44.0935 | 113.9448 | 194 | 1 | 108 | 85 | Inner Mongolia, China | ||
26 | 26 | 36001 | Albany | New York | US | 2020-04-22 00:00:00 | 42.60060306 | -73.97723916 | 758 | 30 | 0 | 728 | Albany, New York, US |
38 | 38 | 36003 | Allegany | New York | US | 2020-04-22 00:00:00 | 42.25748406 | -78.02750466 | 30 | 2 | 0 | 28 | Allegany, New York, US |
248 | 248 | 36007 | Broome | New York | US | 2020-04-22 00:00:00 | 42.15903158 | -75.81326086 | 224 | 15 | 0 | 209 | Broome, New York, US |
386 | 386 | 36009 | Cattaraugus | New York | US | 2020-04-22 00:00:00 | 42.24778241 | -78.67923096 | 37 | 0 | 0 | 37 | Cattaraugus, New York, US |
387 | 387 | 36011 | Cayuga | New York | US | 2020-04-22 00:00:00 | 42.91261714 | -76.55731592 | 37 | 1 | 0 | 36 | Cayuga, New York, US |
416 | 416 | 36013 | Chautauqua | New York | US | 2020-04-22 00:00:00 | 42.22769210000001 | -79.36691763 | 26 | 3 | 0 | 23 | Chautauqua, New York, US |
421 | 421 | 36015 | Chemung | New York | US | 2020-04-22 00:00:00 | 42.13891056 | -76.7638805 | 76 | 1 | 0 | 75 | Chemung, New York, US |
422 | 422 | 36017 | Chenango | New York | US | 2020-04-22 00:00:00 | 42.49430041 | -75.60887553 | 82 | 0 | 0 | 82 | Chenango, New York, US |
521 | 521 | 36019 | Clinton | New York | US | 2020-04-22 00:00:00 | 44.74530905 | -73.67875352 | 52 | 4 | 0 | 48 | Clinton, New York, US |
550 | 550 | 36021 | Columbia | New York | US | 2020-04-22 00:00:00 | 42.24819348 | -73.63089095 | 123 | 13 | 0 | 110 | Columbia, New York, US |
576 | 576 | 36023 | Cortland | New York | US | 2020-04-22 00:00:00 | 42.59509207 | -76.07048931 | 25 | 0 | 0 | 25 | Cortland, New York, US |
684 | 684 | 36025 | Delaware | New York | US | 2020-04-22 00:00:00 | 42.19837623 | -74.96709306 | 50 | 4 | 0 | 46 | Delaware, New York, US |
743 | 743 | 36027 | Dutchess | New York | US | 2020-04-22 00:00:00 | 41.76486060000001 | -73.74356679 | 2460 | 35 | 0 | 2425 | Dutchess, New York, US |
782 | 782 | 36029 | Erie | New York | US | 2020-04-22 00:00:00 | 42.76249024 | -78.73063652 | 2450 | 188 | 0 | 2262 | Erie, New York, US |
789 | 789 | 36031 | Essex | New York | US | 2020-04-22 00:00:00 | 44.11630765 | -73.77297842 | 22 | 0 | 0 | 22 | Essex, New York, US |
864 | 864 | 36033 | Franklin | New York | US | 2020-04-22 00:00:00 | 44.59040891 | -74.29926032 | 13 | 0 | 0 | 13 | Franklin, New York, US |
889 | 889 | 36035 | Fulton | New York | US | 2020-04-22 00:00:00 | 43.11363907 | -74.41798804 | 28 | 0 | 0 | 28 | Fulton, New York, US |
916 | 916 | 36037 | Genesee | New York | US | 2020-04-22 00:00:00 | 43.0022601 | -78.19135193 | 126 | 3 | 0 | 123 | Genesee, New York, US |
990 | 990 | 36039 | Greene | New York | US | 2020-04-22 00:00:00 | 42.275797 | -74.12384884 | 89 | 0 | 0 | 89 | Greene, New York, US |
1031 | 1031 | 36041 | Hamilton | New York | US | 2020-04-22 00:00:00 | 43.66146647 | -74.49721957 | 3 | 0 | 0 | 3 | Hamilton, New York, US |
1112 | 1112 | 36043 | Herkimer | New York | US | 2020-04-22 00:00:00 | 43.42034246 | -74.96145307 | 54 | 3 | 0 | 51 | Herkimer, New York, US |
1250 | 1250 | 36045 | Jefferson | New York | US | 2020-04-22 00:00:00 | 44.04200959 | -75.94653457 | 56 | 0 | 0 | 56 | Jefferson, New York, US |
1452 | 1452 | 36049 | Lewis | New York | US | 2020-04-22 00:00:00 | 43.7844157 | -75.44903992 | 9 | 0 | 0 | 9 | Lewis, New York, US |
1499 | 1499 | 36051 | Livingston | New York | US | 2020-04-22 00:00:00 | 42.72596275 | -77.77966158 | 41 | 5 | 0 | 36 | Livingston, New York, US |
1562 | 1562 | 36053 | Madison | New York | US | 2020-04-22 00:00:00 | 42.91653905 | -75.67266639 | 106 | 5 | 0 | 101 | Madison, New York, US |
1743 | 1743 | 36055 | Monroe | New York | US | 2020-04-22 00:00:00 | 43.14638895 | -77.69322942 | 1152 | 91 | 0 | 1061 | Monroe, New York, US |
1764 | 1764 | 36057 | Montgomery | New York | US | 2020-04-22 00:00:00 | 42.90123494 | -74.44011632 | 39 | 1 | 0 | 38 | Montgomery, New York, US |
1818 | 1818 | 36059 | Nassau | New York | US | 2020-04-22 00:00:00 | 40.74066522 | -73.58941873 | 32124 | 1471 | 0 | 30653 | Nassau, New York, US |
1849 | 1849 | 36063 | Niagara | New York | US | 2020-04-22 00:00:00 | 43.19898042 | -78.74777412 | 295 | 18 | 0 | 277 | Niagara, New York, US |
1900 | 1900 | 36065 | Oneida | New York | US | 2020-04-22 00:00:00 | 43.24375382 | -75.43710392 | 317 | 11 | 0 | 306 | Oneida, New York, US |
1902 | 1902 | 36067 | Onondaga | New York | US | 2020-04-22 00:00:00 | 43.00491923 | -76.19971155 | 600 | 23 | 0 | 577 | Onondaga, New York, US |
1904 | 1904 | 36069 | Ontario | New York | US | 2020-04-22 00:00:00 | 42.85145728 | -77.30874425 | 73 | 0 | 0 | 73 | Ontario, New York, US |
1909 | 1909 | 36071 | Orange | New York | US | 2020-04-22 00:00:00 | 41.40337468 | -74.30240757 | 6816 | 268 | 0 | 6548 | Orange, New York, US |
1917 | 1917 | 36073 | Orleans | New York | US | 2020-04-22 00:00:00 | 43.2516977 | -78.2320066 | 59 | 5 | 0 | 54 | Orleans, New York, US |
1927 | 1927 | 36075 | Oswego | New York | US | 2020-04-22 00:00:00 | 43.42778894 | -76.14635194 | 49 | 2 | 0 | 47 | Oswego, New York, US |
1932 | 1932 | 36077 | Otsego | New York | US | 2020-04-22 00:00:00 | 42.63492579 | -75.03151402 | 50 | 4 | 0 | 46 | Otsego, New York, US |
2109 | 2109 | 36079 | Putnam | New York | US | 2020-04-22 00:00:00 | 41.42630093 | -73.74965532 | 615 | 7 | 0 | 608 | Putnam, New York, US |
2146 | 2146 | 36083 | Rensselaer | New York | US | 2020-04-22 00:00:00 | 42.71348136 | -73.51089874 | 191 | 10 | 0 | 181 | Rensselaer, New York, US |
2189 | 2189 | 36087 | Rockland | New York | US | 2020-04-22 00:00:00 | 41.15027894 | -74.02560498 | 9828 | 436 | 0 | 9392 | Rockland, New York, US |
2254 | 2254 | 36091 | Saratoga | New York | US | 2020-04-22 00:00:00 | 43.10904162 | -73.86653895 | 265 | 7 | 0 | 258 | Saratoga, New York, US |
2260 | 2260 | 36093 | Schenectady | New York | US | 2020-04-22 00:00:00 | 42.81668777 | -74.05278291 | 288 | 15 | 0 | 273 | Schenectady, New York, US |
2262 | 2262 | 36095 | Schoharie | New York | US | 2020-04-22 00:00:00 | 42.58831742 | -74.44339029999998 | 21 | 0 | 0 | 21 | Schoharie, New York, US |
2265 | 2265 | 36097 | Schuyler | New York | US | 2020-04-22 00:00:00 | 42.39184015 | -76.8773299 | 7 | 0 | 0 | 7 | Schuyler, New York, US |
2289 | 2289 | 36099 | Seneca | New York | US | 2020-04-22 00:00:00 | 42.78081007 | -76.82497064 | 18 | 0 | 0 | 18 | Seneca, New York, US |
2374 | 2374 | 36089 | St. Lawrence | New York | US | 2020-04-22 00:00:00 | 44.4976179 | -75.06550039 | 139 | 0 | 0 | 139 | St. Lawrence, New York, US |
2403 | 2403 | 36101 | Steuben | New York | US | 2020-04-22 00:00:00 | 42.2689144 | -77.3829924 | 171 | 33 | 0 | 138 | Steuben, New York, US |
2420 | 2420 | 36103 | Suffolk | New York | US | 2020-04-22 00:00:00 | 40.88320119 | -72.8012172 | 29567 | 959 | 0 | 28608 | Suffolk, New York, US |
2424 | 2424 | 36105 | Sullivan | New York | US | 2020-04-22 00:00:00 | 41.71579493 | -74.76394559 | 580 | 17 | 0 | 563 | Sullivan, New York, US |
2488 | 2488 | 36107 | Tioga | New York | US | 2020-04-22 00:00:00 | 42.16852837 | -76.30835812 | 40 | 4 | 0 | 36 | Tioga, New York, US |
2501 | 2501 | 36109 | Tompkins | New York | US | 2020-04-22 00:00:00 | 42.44945765 | -76.47229843 | 119 | 0 | 0 | 119 | Tompkins, New York, US |
2535 | 2535 | 36111 | Ulster | New York | US | 2020-04-22 00:00:00 | 41.89027881 | -74.26252104 | 942 | 21 | 0 | 921 | Ulster, New York, US |
2665 | 2665 | 36113 | Warren | New York | US | 2020-04-22 00:00:00 | 43.56173026 | -73.8433699 | 119 | 0 | 0 | 119 | Warren, New York, US |
2694 | 2694 | 36115 | Washington | New York | US | 2020-04-22 00:00:00 | 43.31153794 | -73.43043448 | 80 | 2 | 0 | 78 | Washington, New York, US |
2720 | 2720 | 36117 | Wayne | New York | US | 2020-04-22 00:00:00 | 43.15494365 | -77.02976528 | 53 | 0 | 0 | 53 | Wayne, New York, US |
2743 | 2743 | 36119 | Westchester | New York | US | 2020-04-22 00:00:00 | 41.16278376 | -73.75741653 | 25959 | 863 | 0 | 25096 | Westchester, New York, US |
2823 | 2823 | 36121 | Wyoming | New York | US | 2020-04-22 00:00:00 | 42.70145109 | -78.22199579 | 41 | 4 | 0 | 37 | Wyoming, New York, US |
2832 | 2832 | 36123 | Yates | New York | US | 2020-04-22 00:00:00 | 42.63505484 | -77.10369919 | 11 | 1 | 0 | 10 | Yates, New York, US |
2920 | 2920 | Shandong | China | 2020-04-22 00:33:30 | 36.3427 | 118.1498 | 787 | 7 | 766 | 14 | Shandong, China | ||
2919 | 2919 | Shaanxi | China | 2020-04-22 02:37:29 | 35.1917 | 108.8701 | 279 | 3 | 253 | 23 | Shaanxi, China | ||
17 | 17 | 53001 | Adams | Washington | US | 2020-04-23 00:00:00 | 46.98299757 | -118.5601734 | 45 | 0 | 0 | 45 | Adams, Washington, US |
87 | 87 | 53003 | Asotin | Washington | US | 2020-04-23 00:00:00 | 46.18894415 | -117.2022851 | 16 | 1 | 0 | 15 | Asotin, Washington, US |
169 | 169 | 53005 | Benton | Washington | US | 2020-04-23 00:00:00 | 46.23946995 | -119.5120834 | 365 | 38 | 0 | 329 | Benton, Washington, US |
420 | 420 | 53007 | Chelan | Washington | US | 2020-04-23 00:00:00 | 47.87046092 | -120.6173956 | 88 | 5 | 0 | 83 | Chelan, Washington, US |
465 | 465 | 53009 | Clallam | Washington | US | 2020-04-23 00:00:00 | 48.04754642 | -123.9226319 | 14 | 0 | 0 | 14 | Clallam, Washington, US |
478 | 478 | 53011 | Clark | Washington | US | 2020-04-23 00:00:00 | 45.77568046 | -122.4829204 | 291 | 19 | 0 | 276 | Clark, Washington, US |
553 | 553 | 53013 | Columbia | Washington | US | 2020-04-23 00:00:00 | 46.29442881 | -117.9051983 | 1 | 0 | 0 | 1 | Columbia, Washington, US |
587 | 587 | 53015 | Cowlitz | Washington | US | 2020-04-23 00:00:00 | 46.19074721 | -122.6782231 | 35 | 0 | 0 | 35 | Cowlitz, Washington, US |
731 | 731 | 53017 | Douglas | Washington | US | 2020-04-23 00:00:00 | 47.7361335 | -119.692937 | 63 | 1 | 0 | 62 | Douglas, Washington, US |
824 | 824 | 53019 | Ferry | Washington | US | 2020-04-23 00:00:00 | 48.471143100000006 | -118.5154041 | 1 | 0 | 0 | 1 | Ferry, Washington, US |
872 | 872 | 53021 | Franklin | Washington | US | 2020-04-23 00:00:00 | 46.53351425 | -118.9018212 | 233 | 5 | 0 | 228 | Franklin, Washington, US |
904 | 904 | 53023 | Garfield | Washington | US | 2020-04-23 00:00:00 | 46.43197502 | -117.5454032 | 0 | 0 | 0 | 0 | Garfield, Washington, US |
965 | 965 | 53025 | Grant | Washington | US | 2020-04-23 00:00:00 | 47.20753737 | -119.4500749 | 146 | 2 | 0 | 144 | Grant, Washington, US |
973 | 973 | 53027 | Grays Harbor | Washington | US | 2020-04-23 00:00:00 | 47.14003705 | -123.7820567 | 12 | 0 | 0 | 12 | Grays Harbor, Washington, US |
1196 | 1196 | 53029 | Island | Washington | US | 2020-04-23 00:00:00 | 48.14713305 | -122.5216407 | 160 | 8 | 0 | 151 | Island, Washington, US |
1257 | 1257 | 53031 | Jefferson | Washington | US | 2020-04-23 00:00:00 | 47.75003077 | -123.56097040000002 | 28 | 0 | 0 | 28 | Jefferson, Washington, US |
1326 | 1326 | 53033 | King | Washington | US | 2020-04-23 00:00:00 | 47.49137892 | -121.8346131 | 5532 | 410 | 0 | 5147 | King, Washington, US |
1336 | 1336 | 53035 | Kitsap | Washington | US | 2020-04-23 00:00:00 | 47.63479026 | -122.6436061 | 144 | 2 | 0 | 142 | Kitsap, Washington, US |
1337 | 1337 | 53037 | Kittitas | Washington | US | 2020-04-23 00:00:00 | 47.12521214 | -120.679439 | 14 | 0 | 0 | 14 | Kittitas, Washington, US |
1341 | 1341 | 53039 | Klickitat | Washington | US | 2020-04-23 00:00:00 | 45.87325839 | -120.7913598 | 16 | 2 | 0 | 13 | Klickitat, Washington, US |
1454 | 1454 | 53041 | Lewis | Washington | US | 2020-04-23 00:00:00 | 46.57756476 | -122.3925769 | 22 | 3 | 0 | 19 | Lewis, Washington, US |
1485 | 1485 | 53043 | Lincoln | Washington | US | 2020-04-23 00:00:00 | 47.57705241 | -118.4194388 | 2 | 0 | 0 | 2 | Lincoln, Washington, US |
1625 | 1625 | 53045 | Mason | Washington | US | 2020-04-23 00:00:00 | 47.35007586 | -123.1863685 | 22 | 0 | 0 | 22 | Mason, Washington, US |
1890 | 1890 | 53047 | Okanogan | Washington | US | 2020-04-23 00:00:00 | 48.54855019 | -119.7387224 | 16 | 1 | 0 | 16 | Okanogan, Washington, US |
1954 | 1954 | 53049 | Pacific | Washington | US | 2020-04-23 00:00:00 | 46.55418369 | -123.7285716 | 4 | 0 | 0 | 4 | Pacific, Washington, US |
1981 | 1981 | 53051 | Pend Oreille | Washington | US | 2020-04-23 00:00:00 | 48.53234021 | -117.2741804 | 2 | 0 | 0 | 2 | Pend Oreille, Washington, US |
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CREATE TABLE [04-23-2020] ( [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 );