04-17-2020
Data source: Big Local News · About: README
3,047 rows sorted by Last_Update
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Link | rowid | FIPS | Admin2 | Province_State | Country_Region | Last_Update ▼ | Lat | Long_ | Confirmed | Deaths | Recovered | Active | Combined_Key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2838 | 2838 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2858 | 2858 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2863 | 2863 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2829 | 2829 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2806 | 2806 | Guizhou | China | 2020-03-18 01:37:43 | 26.8154 | 106.8748 | 146 | 2 | 144 | 0 | Guizhou, China | ||
2807 | 2807 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2789 | 2789 | Chongqing | China | 2020-03-29 00:14:12 | 30.0572 | 107.874 | 579 | 6 | 570 | 3 | Chongqing, China | ||
2805 | 2805 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2813 | 2813 | Hunan | China | 2020-04-02 01:30:57 | 27.6104 | 111.7088 | 1019 | 4 | 1014 | 1 | Hunan, China | ||
2779 | 2779 | Anhui | China | 2020-04-09 01:12:20 | 31.8257 | 117.2264 | 991 | 6 | 984 | 1 | Anhui, China | ||
2817 | 2817 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2810 | 2810 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.61399999999999 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2820 | 2820 | Macau | China | 2020-04-15 14:46:10 | 22.1667 | 113.55 | 45 | 0 | 16 | 29 | Macau, China | ||
2852 | 2852 | Sichuan | China | 2020-04-16 01:07:06 | 30.6171 | 102.7103 | 560 | 3 | 552 | 5 | Sichuan, China | ||
2797 | 2797 | Gansu | China | 2020-04-16 13:44:14 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2851 | 2851 | Shanxi | China | 2020-04-16 23:58:59 | 37.5777 | 112.2922 | 197 | 0 | 135 | 62 | Shanxi, China | ||
2865 | 2865 | Yunnan | China | 2020-04-16 23:58:59 | 24.974 | 101.48700000000001 | 184 | 2 | 177 | 5 | Yunnan, China | ||
2818 | 2818 | Jilin | China | 2020-04-17 00:08:14 | 43.6661 | 126.1923 | 102 | 1 | 97 | 4 | Jilin, China | ||
2809 | 2809 | Heilongjiang | China | 2020-04-17 00:20:24 | 47.861999999999995 | 127.7615 | 872 | 13 | 471 | 388 | Heilongjiang, China | ||
2819 | 2819 | Liaoning | China | 2020-04-17 00:20:24 | 41.2956 | 122.6085 | 146 | 2 | 140 | 4 | Liaoning, China | ||
2849 | 2849 | Shandong | China | 2020-04-17 00:37:40 | 36.3427 | 118.1498 | 787 | 7 | 761 | 19 | Shandong, China | ||
2804 | 2804 | Guangdong | China | 2020-04-17 00:45:46 | 23.3417 | 113.4244 | 1577 | 8 | 1475 | 94 | Guangdong, China | ||
2796 | 2796 | Fujian | China | 2020-04-17 00:50:50 | 26.0789 | 117.9874 | 354 | 1 | 334 | 19 | Fujian, China | ||
2816 | 2816 | Jiangsu | China | 2020-04-17 01:05:09 | 32.9711 | 119.455 | 653 | 0 | 643 | 10 | Jiangsu, China | ||
2848 | 2848 | Shaanxi | China | 2020-04-17 01:05:09 | 35.1917 | 108.8701 | 256 | 3 | 252 | 1 | Shaanxi, China | ||
2808 | 2808 | Hebei | China | 2020-04-17 01:25:26 | 39.549 | 116.1306 | 328 | 6 | 316 | 6 | Hebei, China | ||
2814 | 2814 | Inner Mongolia | China | 2020-04-17 02:03:55 | 44.0935 | 113.9448 | 193 | 1 | 103 | 89 | Inner Mongolia, China | ||
2866 | 2866 | Zhejiang | China | 2020-04-17 02:46:34 | 29.1832 | 120.0934 | 1268 | 1 | 1246 | 21 | Zhejiang, China | ||
2782 | 2782 | Beijing | China | 2020-04-17 02:49:36 | 40.1824 | 116.4142 | 593 | 8 | 509 | 76 | Beijing, China | ||
2812 | 2812 | Hubei | China | 2020-04-17 05:08:48 | 30.9756 | 112.2707 | 68128 | 4512 | 63487 | 129 | Hubei, China | ||
2850 | 2850 | Shanghai | China | 2020-04-17 06:07:47 | 31.201999999999998 | 121.4491 | 628 | 7 | 512 | 109 | Shanghai, China | ||
3028 | 3028 | Taiwan* | 2020-04-17 08:03:39 | 23.7 | 121.0 | 395 | 6 | 166 | 223 | Taiwan* | |||
2811 | 2811 | Hong Kong | China | 2020-04-17 09:19:52 | 22.3 | 114.2 | 1021 | 4 | 533 | 484 | Hong Kong, China | ||
2857 | 2857 | Tianjin | China | 2020-04-17 15:23:31 | 39.3054 | 117.323 | 189 | 3 | 173 | 13 | Tianjin, China | ||
2778 | 2778 | Anguilla | United Kingdom | 2020-04-17 23:30:32 | 18.2206 | -63.0686 | 3 | 0 | 1 | 2 | Anguilla, United Kingdom | ||
2780 | 2780 | Aruba | Netherlands | 2020-04-17 23:30:32 | 12.5211 | -69.9683 | 96 | 2 | 43 | 51 | Aruba, Netherlands | ||
2783 | 2783 | Bermuda | United Kingdom | 2020-04-17 23:30:32 | 32.3078 | -64.7505 | 83 | 5 | 35 | 43 | Bermuda, United Kingdom | ||
2784 | 2784 | Bonaire, Sint Eustatius and Saba | Netherlands | 2020-04-17 23:30:32 | 12.1784 | -68.2385 | 3 | 0 | 0 | 3 | Bonaire, Sint Eustatius and Saba, Netherlands | ||
2786 | 2786 | British Virgin Islands | United Kingdom | 2020-04-17 23:30:32 | 18.4207 | -64.64 | 4 | 0 | 2 | 2 | British Virgin Islands, United Kingdom | ||
2787 | 2787 | Cayman Islands | United Kingdom | 2020-04-17 23:30:32 | 19.3133 | -81.2546 | 61 | 1 | 7 | 53 | Cayman Islands, United Kingdom | ||
2788 | 2788 | Channel Islands | United Kingdom | 2020-04-17 23:30:32 | 49.3723 | -2.3644 | 470 | 20 | 73 | 377 | Channel Islands, United Kingdom | ||
2790 | 2790 | Curacao | Netherlands | 2020-04-17 23:30:32 | 12.1696 | -68.99 | 14 | 1 | 10 | 3 | Curacao, Netherlands | ||
2792 | 2792 | Falkland Islands (Malvinas) | United Kingdom | 2020-04-17 23:30:32 | -51.7963 | -59.5236 | 11 | 0 | 1 | 10 | Falkland Islands (Malvinas), United Kingdom | ||
2793 | 2793 | Faroe Islands | Denmark | 2020-04-17 23:30:32 | 61.8926 | -6.9118 | 184 | 0 | 171 | 13 | Faroe Islands, Denmark | ||
2794 | 2794 | French Guiana | France | 2020-04-17 23:30:32 | 4.0 | -53.0 | 96 | 0 | 61 | 35 | French Guiana, France | ||
2795 | 2795 | French Polynesia | France | 2020-04-17 23:30:32 | -17.6797 | -149.4068 | 55 | 0 | 0 | 55 | French Polynesia, France | ||
2798 | 2798 | Gibraltar | United Kingdom | 2020-04-17 23:30:32 | 36.1408 | -5.3536 | 132 | 0 | 105 | 27 | Gibraltar, United Kingdom | ||
2801 | 2801 | Greenland | Denmark | 2020-04-17 23:30:32 | 71.7069 | -42.6043 | 11 | 0 | 11 | 0 | Greenland, Denmark | ||
2802 | 2802 | Guadeloupe | France | 2020-04-17 23:30:32 | 16.265 | -61.551 | 145 | 8 | 67 | 70 | Guadeloupe, France | ||
2815 | 2815 | Isle of Man | United Kingdom | 2020-04-17 23:30:32 | 54.2361 | -4.5481 | 291 | 4 | 169 | 118 | Isle of Man, United Kingdom | ||
2822 | 2822 | Martinique | France | 2020-04-17 23:30:32 | 14.6415 | -61.0242 | 158 | 8 | 73 | 77 | Martinique, France | ||
2823 | 2823 | Mayotte | France | 2020-04-17 23:30:32 | -12.8275 | 45.166244 | 245 | 4 | 117 | 124 | Mayotte, France | ||
2824 | 2824 | Montserrat | United Kingdom | 2020-04-17 23:30:32 | 16.742498 | -62.187366000000004 | 11 | 0 | 1 | 10 | Montserrat, United Kingdom | ||
2826 | 2826 | New Caledonia | France | 2020-04-17 23:30:32 | -20.904304999999997 | 165.618042 | 18 | 0 | 14 | 4 | New Caledonia, France | ||
2843 | 2843 | Reunion | France | 2020-04-17 23:30:32 | -21.1151 | 55.5364 | 402 | 0 | 237 | 165 | Reunion, France | ||
2844 | 2844 | Saint Barthelemy | France | 2020-04-17 23:30:32 | 17.9 | -62.8333 | 6 | 0 | 4 | 2 | Saint Barthelemy, France | ||
2845 | 2845 | Saint Helena, Ascension and Tristan da Cunha | United Kingdom | 2020-04-17 23:30:32 | -7.9467 | -14.3559 | 0 | 0 | 0 | 0 | Saint Helena, Ascension and Tristan da Cunha, United Kingdom | ||
2846 | 2846 | Saint Pierre and Miquelon | France | 2020-04-17 23:30:32 | 46.8852 | -56.3159 | 1 | 0 | 0 | 1 | Saint Pierre and Miquelon, France | ||
2853 | 2853 | Sint Maarten | Netherlands | 2020-04-17 23:30:32 | 18.0425 | -63.0548 | 57 | 9 | 12 | 36 | Sint Maarten, Netherlands | ||
2855 | 2855 | St Martin | France | 2020-04-17 23:30:32 | 18.0708 | -63.0501 | 35 | 2 | 13 | 20 | St Martin, France | ||
2859 | 2859 | Turks and Caicos Islands | United Kingdom | 2020-04-17 23:30:32 | 21.69400000000001 | -71.7979 | 11 | 1 | 0 | 10 | Turks and Caicos Islands, United Kingdom | ||
2867 | 2867 | Afghanistan | 2020-04-17 23:30:32 | 33.93911 | 67.709953 | 907 | 30 | 99 | 777 | Afghanistan | |||
2868 | 2868 | Albania | 2020-04-17 23:30:32 | 41.1533 | 20.1683 | 539 | 26 | 283 | 230 | Albania | |||
2869 | 2869 | Algeria | 2020-04-17 23:30:32 | 28.0339 | 1.6596 | 2418 | 364 | 846 | 1208 | Algeria | |||
2870 | 2870 | Andorra | 2020-04-17 23:30:32 | 42.5063 | 1.5218 | 696 | 35 | 191 | 470 | Andorra | |||
2871 | 2871 | Angola | 2020-04-17 23:30:32 | -11.2027 | 17.8739 | 19 | 2 | 5 | 12 | Angola | |||
2872 | 2872 | Antigua and Barbuda | 2020-04-17 23:30:32 | 17.0608 | -61.7964 | 23 | 3 | 3 | 17 | Antigua and Barbuda | |||
2873 | 2873 | Argentina | 2020-04-17 23:30:32 | -38.4161 | -63.6167 | 2669 | 123 | 666 | 1880 | Argentina | |||
2874 | 2874 | Armenia | 2020-04-17 23:30:32 | 40.0691 | 45.0382 | 1201 | 19 | 402 | 780 | Armenia | |||
2875 | 2875 | Austria | 2020-04-17 23:30:32 | 47.5162 | 14.5501 | 14595 | 431 | 9704 | 4460 | Austria | |||
2876 | 2876 | Azerbaijan | 2020-04-17 23:30:32 | 40.1431 | 47.5769 | 1340 | 15 | 528 | 797 | Azerbaijan | |||
2877 | 2877 | Bahamas | 2020-04-17 23:30:32 | 25.025885 | -78.035889 | 54 | 9 | 6 | 39 | Bahamas | |||
2878 | 2878 | Bahrain | 2020-04-17 23:30:32 | 26.0275 | 50.55 | 1740 | 7 | 725 | 1008 | Bahrain | |||
2879 | 2879 | Bangladesh | 2020-04-17 23:30:32 | 23.685 | 90.3563 | 1838 | 75 | 58 | 1705 | Bangladesh | |||
2880 | 2880 | Barbados | 2020-04-17 23:30:32 | 13.1939 | -59.5432 | 75 | 5 | 15 | 55 | Barbados | |||
2881 | 2881 | Belarus | 2020-04-17 23:30:32 | 53.7098 | 27.9534 | 4779 | 42 | 342 | 4395 | Belarus | |||
2882 | 2882 | Belgium | 2020-04-17 23:30:32 | 50.8333 | 4.469936 | 36138 | 5163 | 7961 | 23014 | Belgium | |||
2883 | 2883 | Belize | 2020-04-17 23:30:32 | 17.1899 | -88.4976 | 18 | 2 | 0 | 16 | Belize | |||
2884 | 2884 | Benin | 2020-04-17 23:30:32 | 9.3077 | 2.3158 | 35 | 1 | 18 | 16 | Benin | |||
2885 | 2885 | Bhutan | 2020-04-17 23:30:32 | 27.5142 | 90.4336 | 5 | 0 | 2 | 3 | Bhutan | |||
2886 | 2886 | Bolivia | 2020-04-17 23:30:32 | -16.2902 | -63.5887 | 465 | 31 | 26 | 408 | Bolivia | |||
2887 | 2887 | Bosnia and Herzegovina | 2020-04-17 23:30:32 | 43.9159 | 17.6791 | 1214 | 46 | 320 | 848 | Bosnia and Herzegovina | |||
2888 | 2888 | Botswana | 2020-04-17 23:30:32 | -22.3285 | 24.6849 | 15 | 1 | 0 | 14 | Botswana | |||
2889 | 2889 | Brazil | 2020-04-17 23:30:32 | -14.235 | -51.9253 | 33682 | 2141 | 14026 | 17515 | Brazil | |||
2890 | 2890 | Brunei | 2020-04-17 23:30:32 | 4.5353 | 114.7277 | 136 | 1 | 112 | 23 | Brunei | |||
2891 | 2891 | Bulgaria | 2020-04-17 23:30:32 | 42.7339 | 25.4858 | 846 | 41 | 141 | 664 | Bulgaria | |||
2892 | 2892 | Burkina Faso | 2020-04-17 23:30:32 | 12.2383 | -1.5616 | 557 | 35 | 294 | 228 | Burkina Faso | |||
2893 | 2893 | Burma | 2020-04-17 23:30:32 | 21.9162 | 95.956 | 88 | 4 | 5 | 79 | Burma | |||
2894 | 2894 | Burundi | 2020-04-17 23:30:32 | -3.3731 | 29.9189 | 5 | 1 | 0 | 4 | Burundi | |||
2895 | 2895 | Cabo Verde | 2020-04-17 23:30:32 | 16.5388 | -23.0418 | 56 | 1 | 1 | 54 | Cabo Verde | |||
2896 | 2896 | Cambodia | 2020-04-17 23:30:32 | 11.55 | 104.9167 | 122 | 0 | 98 | 24 | Cambodia | |||
2897 | 2897 | Cameroon | 2020-04-17 23:30:32 | 3.8480000000000003 | 11.5021 | 996 | 22 | 164 | 810 | Cameroon | |||
2898 | 2898 | Central African Republic | 2020-04-17 23:30:32 | 6.6111 | 20.9394 | 12 | 0 | 4 | 8 | Central African Republic | |||
2899 | 2899 | Chad | 2020-04-17 23:30:32 | 15.4542 | 18.7322 | 27 | 0 | 5 | 22 | Chad | |||
2900 | 2900 | Chile | 2020-04-17 23:30:32 | -35.6751 | -71.543 | 9252 | 116 | 3621 | 5515 | Chile | |||
2901 | 2901 | Colombia | 2020-04-17 23:30:32 | 4.5709 | -74.2973 | 3439 | 153 | 634 | 2652 | Colombia | |||
2902 | 2902 | Congo (Brazzaville) | 2020-04-17 23:30:32 | -4.2634 | 15.2832 | 143 | 6 | 11 | 126 | Congo (Brazzaville) | |||
2903 | 2903 | Congo (Kinshasa) | 2020-04-17 23:30:32 | -4.322447 | 15.307045 | 287 | 23 | 25 | 239 | Congo (Kinshasa) | |||
2904 | 2904 | Costa Rica | 2020-04-17 23:30:32 | 9.7489 | -83.7534 | 649 | 4 | 88 | 557 | Costa Rica | |||
2905 | 2905 | Cote d'Ivoire | 2020-04-17 23:30:32 | 7.54 | -5.5471 | 688 | 6 | 193 | 489 | Cote d'Ivoire |
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CREATE TABLE [04-17-2020] ( [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 );