04-24-2020
Data source: Big Local News · About: README
3,128 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2917 | 2917 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2933 | 2933 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2936 | 2936 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2911 | 2911 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2890 | 2890 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2888 | 2888 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2900 | 2900 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2893 | 2893 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.61399999999999 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2881 | 2881 | Gansu | China | 2020-04-16 13:44:14 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2896 | 2896 | Hunan | China | 2020-04-18 01:15:10 | 27.6104 | 111.7088 | 1019 | 4 | 1015 | 0 | Hunan, China | ||
2889 | 2889 | Guizhou | China | 2020-04-19 00:51:07 | 26.8154 | 106.8748 | 147 | 2 | 145 | 0 | Guizhou, China | ||
2902 | 2902 | 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 | 2020-04-23 00:00:00 | 42.60060306 | -73.97723916 | 805 | 31 | 0 | 774 | Albany, New York, US |
38 | 38 | 36003 | Allegany | New York | US | 2020-04-23 00:00:00 | 42.25748406 | -78.02750466 | 31 | 2 | 0 | 29 | Allegany, New York, US |
248 | 248 | 36007 | Broome | New York | US | 2020-04-23 00:00:00 | 42.15903158 | -75.81326086 | 232 | 17 | 0 | 215 | Broome, New York, US |
386 | 386 | 36009 | Cattaraugus | New York | US | 2020-04-23 00:00:00 | 42.24778241 | -78.67923096 | 39 | 0 | 0 | 39 | Cattaraugus, New York, US |
387 | 387 | 36011 | Cayuga | New York | US | 2020-04-23 00:00:00 | 42.91261714 | -76.55731592 | 39 | 1 | 0 | 38 | Cayuga, New York, US |
416 | 416 | 36013 | Chautauqua | New York | US | 2020-04-23 00:00:00 | 42.22769210000001 | -79.36691763 | 27 | 3 | 0 | 24 | Chautauqua, New York, US |
421 | 421 | 36015 | Chemung | New York | US | 2020-04-23 00:00:00 | 42.13891056 | -76.7638805 | 79 | 1 | 0 | 78 | Chemung, New York, US |
422 | 422 | 36017 | Chenango | New York | US | 2020-04-23 00:00:00 | 42.49430041 | -75.60887553 | 84 | 0 | 0 | 84 | Chenango, New York, US |
521 | 521 | 36019 | Clinton | New York | US | 2020-04-23 00:00:00 | 44.74530905 | -73.67875352 | 53 | 4 | 0 | 49 | Clinton, New York, US |
551 | 551 | 36021 | Columbia | New York | US | 2020-04-23 00:00:00 | 42.24819348 | -73.63089095 | 129 | 13 | 0 | 116 | Columbia, New York, US |
577 | 577 | 36023 | Cortland | New York | US | 2020-04-23 00:00:00 | 42.59509207 | -76.07048931 | 25 | 0 | 0 | 25 | Cortland, New York, US |
685 | 685 | 36025 | Delaware | New York | US | 2020-04-23 00:00:00 | 42.19837623 | -74.96709306 | 51 | 4 | 0 | 47 | Delaware, New York, US |
744 | 744 | 36027 | Dutchess | New York | US | 2020-04-23 00:00:00 | 41.76486060000001 | -73.74356679 | 2517 | 35 | 0 | 2482 | Dutchess, New York, US |
783 | 783 | 36029 | Erie | New York | US | 2020-04-23 00:00:00 | 42.76249024 | -78.73063652 | 2603 | 198 | 0 | 2405 | Erie, New York, US |
790 | 790 | 36031 | Essex | New York | US | 2020-04-23 00:00:00 | 44.11630765 | -73.77297842 | 22 | 0 | 0 | 22 | Essex, New York, US |
865 | 865 | 36033 | Franklin | New York | US | 2020-04-23 00:00:00 | 44.59040891 | -74.29926032 | 13 | 0 | 0 | 13 | Franklin, New York, US |
890 | 890 | 36035 | Fulton | New York | US | 2020-04-23 00:00:00 | 43.11363907 | -74.41798804 | 29 | 0 | 0 | 29 | Fulton, New York, US |
917 | 917 | 36037 | Genesee | New York | US | 2020-04-23 00:00:00 | 43.0022601 | -78.19135193 | 127 | 3 | 0 | 124 | Genesee, New York, US |
992 | 992 | 36039 | Greene | New York | US | 2020-04-23 00:00:00 | 42.275797 | -74.12384884 | 90 | 5 | 0 | 85 | Greene, New York, US |
1033 | 1033 | 36041 | Hamilton | New York | US | 2020-04-23 00:00:00 | 43.66146647 | -74.49721957 | 3 | 0 | 0 | 3 | Hamilton, New York, US |
1114 | 1114 | 36043 | Herkimer | New York | US | 2020-04-23 00:00:00 | 43.42034246 | -74.96145307 | 56 | 3 | 0 | 53 | Herkimer, New York, US |
1252 | 1252 | 36045 | Jefferson | New York | US | 2020-04-23 00:00:00 | 44.04200959 | -75.94653457 | 58 | 0 | 0 | 58 | Jefferson, New York, US |
1454 | 1454 | 36049 | Lewis | New York | US | 2020-04-23 00:00:00 | 43.7844157 | -75.44903992 | 9 | 0 | 0 | 9 | Lewis, New York, US |
1501 | 1501 | 36051 | Livingston | New York | US | 2020-04-23 00:00:00 | 42.72596275 | -77.77966158 | 44 | 5 | 0 | 39 | Livingston, New York, US |
1564 | 1564 | 36053 | Madison | New York | US | 2020-04-23 00:00:00 | 42.91653905 | -75.67266639 | 106 | 5 | 0 | 101 | Madison, New York, US |
1746 | 1746 | 36055 | Monroe | New York | US | 2020-04-23 00:00:00 | 43.14638895 | -77.69322942 | 1199 | 96 | 0 | 1103 | Monroe, New York, US |
1767 | 1767 | 36057 | Montgomery | New York | US | 2020-04-23 00:00:00 | 42.90123494 | -74.44011632 | 39 | 1 | 0 | 38 | Montgomery, New York, US |
1821 | 1821 | 36059 | Nassau | New York | US | 2020-04-23 00:00:00 | 40.74066522 | -73.58941873 | 32765 | 1518 | 0 | 31247 | Nassau, New York, US |
1852 | 1852 | 36063 | Niagara | New York | US | 2020-04-23 00:00:00 | 43.19898042 | -78.74777412 | 332 | 21 | 0 | 311 | Niagara, New York, US |
1905 | 1905 | 36065 | Oneida | New York | US | 2020-04-23 00:00:00 | 43.24375382 | -75.43710392 | 323 | 11 | 0 | 312 | Oneida, New York, US |
1907 | 1907 | 36067 | Onondaga | New York | US | 2020-04-23 00:00:00 | 43.00491923 | -76.19971155 | 639 | 25 | 0 | 614 | Onondaga, New York, US |
1909 | 1909 | 36069 | Ontario | New York | US | 2020-04-23 00:00:00 | 42.85145728 | -77.30874425 | 73 | 9 | 0 | 64 | Ontario, New York, US |
1914 | 1914 | 36071 | Orange | New York | US | 2020-04-23 00:00:00 | 41.40337468 | -74.30240757 | 7155 | 274 | 0 | 6881 | Orange, New York, US |
1922 | 1922 | 36073 | Orleans | New York | US | 2020-04-23 00:00:00 | 43.2516977 | -78.2320066 | 60 | 7 | 0 | 53 | Orleans, New York, US |
1932 | 1932 | 36075 | Oswego | New York | US | 2020-04-23 00:00:00 | 43.42778894 | -76.14635194 | 51 | 2 | 0 | 49 | Oswego, New York, US |
1937 | 1937 | 36077 | Otsego | New York | US | 2020-04-23 00:00:00 | 42.63492579 | -75.03151402 | 50 | 4 | 0 | 46 | Otsego, New York, US |
2114 | 2114 | 36079 | Putnam | New York | US | 2020-04-23 00:00:00 | 41.42630093 | -73.74965532 | 619 | 7 | 0 | 612 | Putnam, New York, US |
2151 | 2151 | 36083 | Rensselaer | New York | US | 2020-04-23 00:00:00 | 42.71348136 | -73.51089874 | 198 | 11 | 0 | 187 | Rensselaer, New York, US |
2194 | 2194 | 36087 | Rockland | New York | US | 2020-04-23 00:00:00 | 41.15027894 | -74.02560498 | 10091 | 453 | 0 | 9638 | Rockland, New York, US |
2259 | 2259 | 36091 | Saratoga | New York | US | 2020-04-23 00:00:00 | 43.10904162 | -73.86653895 | 278 | 11 | 0 | 267 | Saratoga, New York, US |
2265 | 2265 | 36093 | Schenectady | New York | US | 2020-04-23 00:00:00 | 42.81668777 | -74.05278291 | 297 | 15 | 0 | 282 | Schenectady, New York, US |
2267 | 2267 | 36095 | Schoharie | New York | US | 2020-04-23 00:00:00 | 42.58831742 | -74.44339029999998 | 21 | 0 | 0 | 21 | Schoharie, New York, US |
2270 | 2270 | 36097 | Schuyler | New York | US | 2020-04-23 00:00:00 | 42.39184015 | -76.8773299 | 7 | 0 | 0 | 7 | Schuyler, New York, US |
2294 | 2294 | 36099 | Seneca | New York | US | 2020-04-23 00:00:00 | 42.78081007 | -76.82497064 | 18 | 0 | 0 | 18 | Seneca, New York, US |
2379 | 2379 | 36089 | St. Lawrence | New York | US | 2020-04-23 00:00:00 | 44.4976179 | -75.06550039 | 144 | 0 | 0 | 144 | St. Lawrence, New York, US |
2409 | 2409 | 36101 | Steuben | New York | US | 2020-04-23 00:00:00 | 42.2689144 | -77.3829924 | 171 | 33 | 0 | 138 | Steuben, New York, US |
2426 | 2426 | 36103 | Suffolk | New York | US | 2020-04-23 00:00:00 | 40.88320119 | -72.8012172 | 30606 | 993 | 0 | 29613 | Suffolk, New York, US |
2430 | 2430 | 36105 | Sullivan | New York | US | 2020-04-23 00:00:00 | 41.71579493 | -74.76394559 | 628 | 17 | 0 | 611 | Sullivan, New York, US |
2494 | 2494 | 36107 | Tioga | New York | US | 2020-04-23 00:00:00 | 42.16852837 | -76.30835812 | 40 | 5 | 0 | 35 | Tioga, New York, US |
2507 | 2507 | 36109 | Tompkins | New York | US | 2020-04-23 00:00:00 | 42.44945765 | -76.47229843 | 121 | 0 | 0 | 121 | Tompkins, New York, US |
2541 | 2541 | 36111 | Ulster | New York | US | 2020-04-23 00:00:00 | 41.89027881 | -74.26252104 | 976 | 23 | 0 | 953 | Ulster, New York, US |
2672 | 2672 | 36113 | Warren | New York | US | 2020-04-23 00:00:00 | 43.56173026 | -73.8433699 | 122 | 0 | 0 | 122 | Warren, New York, US |
2701 | 2701 | 36115 | Washington | New York | US | 2020-04-23 00:00:00 | 43.31153794 | -73.43043448 | 83 | 2 | 0 | 81 | Washington, New York, US |
2728 | 2728 | 36117 | Wayne | New York | US | 2020-04-23 00:00:00 | 43.15494365 | -77.02976528 | 53 | 0 | 0 | 53 | Wayne, New York, US |
2751 | 2751 | 36119 | Westchester | New York | US | 2020-04-23 00:00:00 | 41.16278376 | -73.75741653 | 26633 | 891 | 0 | 25742 | Westchester, New York, US |
2832 | 2832 | 36121 | Wyoming | New York | US | 2020-04-23 00:00:00 | 42.70145109 | -78.22199579 | 43 | 5 | 0 | 38 | Wyoming, New York, US |
2841 | 2841 | 36123 | Yates | New York | US | 2020-04-23 00:00:00 | 42.63505484 | -77.10369919 | 11 | 1 | 0 | 10 | Yates, New York, US |
2903 | 2903 | Macau | China | 2020-04-23 10:54:47 | 22.1667 | 113.55 | 45 | 0 | 27 | 18 | Macau, China | ||
17 | 17 | 53001 | Adams | Washington | US | 2020-04-24 00:00:00 | 46.98299757 | -118.5601734 | 45 | 0 | 0 | 45 | Adams, Washington, US |
87 | 87 | 53003 | Asotin | Washington | US | 2020-04-24 00:00:00 | 46.18894415 | -117.2022851 | 16 | 1 | 0 | 15 | Asotin, Washington, US |
169 | 169 | 53005 | Benton | Washington | US | 2020-04-24 00:00:00 | 46.23946995 | -119.5120834 | 383 | 39 | 0 | 347 | Benton, Washington, US |
420 | 420 | 53007 | Chelan | Washington | US | 2020-04-24 00:00:00 | 47.87046092 | -120.6173956 | 89 | 5 | 0 | 84 | Chelan, Washington, US |
465 | 465 | 53009 | Clallam | Washington | US | 2020-04-24 00:00:00 | 48.04754642 | -123.9226319 | 14 | 0 | 0 | 14 | Clallam, Washington, US |
478 | 478 | 53011 | Clark | Washington | US | 2020-04-24 00:00:00 | 45.77568046 | -122.4829204 | 293 | 20 | 0 | 277 | Clark, Washington, US |
554 | 554 | 53013 | Columbia | Washington | US | 2020-04-24 00:00:00 | 46.29442881 | -117.9051983 | 1 | 0 | 0 | 1 | Columbia, Washington, US |
588 | 588 | 53015 | Cowlitz | Washington | US | 2020-04-24 00:00:00 | 46.19074721 | -122.6782231 | 36 | 0 | 0 | 36 | Cowlitz, Washington, US |
732 | 732 | 53017 | Douglas | Washington | US | 2020-04-24 00:00:00 | 47.7361335 | -119.692937 | 69 | 1 | 0 | 68 | Douglas, Washington, US |
825 | 825 | 53019 | Ferry | Washington | US | 2020-04-24 00:00:00 | 48.471143100000006 | -118.5154041 | 1 | 0 | 0 | 1 | Ferry, Washington, US |
873 | 873 | 53021 | Franklin | Washington | US | 2020-04-24 00:00:00 | 46.53351425 | -118.9018212 | 239 | 5 | 0 | 234 | Franklin, Washington, US |
905 | 905 | 53023 | Garfield | Washington | US | 2020-04-24 00:00:00 | 46.43197502 | -117.5454032 | 0 | 0 | 0 | 0 | Garfield, Washington, US |
967 | 967 | 53025 | Grant | Washington | US | 2020-04-24 00:00:00 | 47.20753737 | -119.4500749 | 149 | 3 | 0 | 147 | Grant, Washington, US |
975 | 975 | 53027 | Grays Harbor | Washington | US | 2020-04-24 00:00:00 | 47.14003705 | -123.7820567 | 12 | 0 | 0 | 12 | Grays Harbor, Washington, US |
1198 | 1198 | 53029 | Island | Washington | US | 2020-04-24 00:00:00 | 48.14713305 | -122.5216407 | 160 | 8 | 0 | 151 | Island, Washington, US |
1259 | 1259 | 53031 | Jefferson | Washington | US | 2020-04-24 00:00:00 | 47.75003077 | -123.56097040000002 | 28 | 0 | 0 | 28 | Jefferson, Washington, US |
1328 | 1328 | 53033 | King | Washington | US | 2020-04-24 00:00:00 | 47.49137892 | -121.8346131 | 5637 | 418 | 0 | 5244 | King, Washington, US |
1338 | 1338 | 53035 | Kitsap | Washington | US | 2020-04-24 00:00:00 | 47.63479026 | -122.6436061 | 143 | 2 | 0 | 141 | Kitsap, Washington, US |
1339 | 1339 | 53037 | Kittitas | Washington | US | 2020-04-24 00:00:00 | 47.12521214 | -120.679439 | 14 | 0 | 0 | 14 | Kittitas, Washington, US |
1343 | 1343 | 53039 | Klickitat | Washington | US | 2020-04-24 00:00:00 | 45.87325839 | -120.7913598 | 16 | 2 | 0 | 13 | Klickitat, Washington, US |
1456 | 1456 | 53041 | Lewis | Washington | US | 2020-04-24 00:00:00 | 46.57756476 | -122.3925769 | 25 | 3 | 0 | 22 | Lewis, Washington, US |
1487 | 1487 | 53043 | Lincoln | Washington | US | 2020-04-24 00:00:00 | 47.57705241 | -118.4194388 | 2 | 0 | 0 | 2 | Lincoln, Washington, US |
1627 | 1627 | 53045 | Mason | Washington | US | 2020-04-24 00:00:00 | 47.35007586 | -123.1863685 | 22 | 0 | 0 | 22 | Mason, Washington, US |
1895 | 1895 | 53047 | Okanogan | Washington | US | 2020-04-24 00:00:00 | 48.54855019 | -119.7387224 | 16 | 1 | 0 | 16 | Okanogan, Washington, US |
1959 | 1959 | 53049 | Pacific | Washington | US | 2020-04-24 00:00:00 | 46.55418369 | -123.7285716 | 4 | 0 | 0 | 4 | Pacific, Washington, US |
1986 | 1986 | 53051 | Pend Oreille | Washington | US | 2020-04-24 00:00:00 | 48.53234021 | -117.2741804 | 2 | 0 | 0 | 2 | Pend Oreille, Washington, US |
2025 | 2025 | 53053 | Pierce | Washington | US | 2020-04-24 00:00:00 | 47.03892768 | -122.1405958 | 1212 | 51 | 0 | 1169 | Pierce, Washington, US |
2241 | 2241 | 53055 | San Juan | Washington | US | 2020-04-24 00:00:00 | 48.60182783 | -122.96745 | 14 | 0 | 0 | 14 | San Juan, Washington, US |
2333 | 2333 | 53057 | Skagit | Washington | US | 2020-04-24 00:00:00 | 48.48171488 | -121.766131 | 283 | 10 | 0 | 273 | Skagit, Washington, US |
2334 | 2334 | 53059 | Skamania | Washington | US | 2020-04-24 00:00:00 | 46.02408726 | -121.9164403 | 3 | 0 | 0 | 3 | Skamania, Washington, US |
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CREATE TABLE [04-24-2020] ( [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 );