04-15-2020
Data source: Big Local News · About: README
3,028 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2819 | 2819 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2839 | 2839 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2844 | 2844 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2810 | 2810 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2787 | 2787 | Guizhou | China | 2020-03-18 01:37:43 | 26.8154 | 106.8748 | 146 | 2 | 144 | 0 | Guizhou, China | ||
2788 | 2788 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2770 | 2770 | Chongqing | China | 2020-03-29 00:14:12 | 30.0572 | 107.874 | 579 | 6 | 570 | 3 | Chongqing, China | ||
2786 | 2786 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2794 | 2794 | Hunan | China | 2020-04-02 01:30:57 | 27.6104 | 111.7088 | 1019 | 4 | 1014 | 1 | Hunan, China | ||
2760 | 2760 | Anhui | China | 2020-04-09 01:12:20 | 31.8257 | 117.2264 | 991 | 6 | 984 | 1 | Anhui, China | ||
2798 | 2798 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2800 | 2800 | Liaoning | China | 2020-04-14 00:18:37 | 41.2956 | 122.6085 | 145 | 2 | 138 | 5 | Liaoning, China | ||
2791 | 2791 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.61399999999999 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2789 | 2789 | Hebei | China | 2020-04-14 01:49:04 | 39.549 | 116.1306 | 327 | 6 | 314 | 7 | Hebei, China | ||
2778 | 2778 | Gansu | China | 2020-04-14 14:31:10 | 37.8099 | 101.0583 | 139 | 2 | 136 | 1 | Gansu, China | ||
2846 | 2846 | Yunnan | China | 2020-04-15 00:18:56 | 24.974 | 101.48700000000001 | 184 | 2 | 176 | 6 | Yunnan, China | ||
2799 | 2799 | Jilin | China | 2020-04-15 00:28:05 | 43.6661 | 126.1923 | 102 | 1 | 96 | 5 | Jilin, China | ||
2832 | 2832 | Shanxi | China | 2020-04-15 00:28:05 | 37.5777 | 112.2922 | 186 | 0 | 135 | 51 | Shanxi, China | ||
2795 | 2795 | Inner Mongolia | China | 2020-04-15 00:31:14 | 44.0935 | 113.9448 | 190 | 1 | 94 | 95 | Inner Mongolia, China | ||
2790 | 2790 | Heilongjiang | China | 2020-04-15 00:40:21 | 47.861999999999995 | 127.7615 | 841 | 13 | 470 | 358 | Heilongjiang, China | ||
2830 | 2830 | Shandong | China | 2020-04-15 00:52:31 | 36.3427 | 118.1498 | 784 | 7 | 761 | 16 | Shandong, China | ||
2833 | 2833 | Sichuan | China | 2020-04-15 01:04:46 | 30.6171 | 102.7103 | 560 | 3 | 550 | 7 | Sichuan, China | ||
2763 | 2763 | Beijing | China | 2020-04-15 01:12:53 | 40.1824 | 116.4142 | 590 | 8 | 495 | 87 | Beijing, China | ||
2797 | 2797 | Jiangsu | China | 2020-04-15 01:12:53 | 32.9711 | 119.455 | 653 | 0 | 642 | 11 | Jiangsu, China | ||
2829 | 2829 | Shaanxi | China | 2020-04-15 01:20:59 | 35.1917 | 108.8701 | 256 | 3 | 251 | 2 | Shaanxi, China | ||
2785 | 2785 | Guangdong | China | 2020-04-15 01:45:25 | 23.3417 | 113.4244 | 1566 | 8 | 1462 | 96 | Guangdong, China | ||
2793 | 2793 | Hubei | China | 2020-04-15 01:45:25 | 30.9756 | 112.2707 | 67803 | 3222 | 64402 | 179 | Hubei, China | ||
2777 | 2777 | Fujian | China | 2020-04-15 01:53:31 | 26.0789 | 117.9874 | 353 | 1 | 331 | 21 | Fujian, China | ||
2847 | 2847 | Zhejiang | China | 2020-04-15 02:05:41 | 29.1832 | 120.0934 | 1268 | 1 | 1244 | 23 | Zhejiang, China | ||
2831 | 2831 | Shanghai | China | 2020-04-15 06:12:32 | 31.201999999999998 | 121.4491 | 622 | 7 | 485 | 130 | Shanghai, China | ||
2838 | 2838 | Tianjin | China | 2020-04-15 13:31:10 | 39.3054 | 117.323 | 185 | 3 | 171 | 11 | Tianjin, China | ||
2792 | 2792 | Hong Kong | China | 2020-04-15 14:46:10 | 22.3 | 114.2 | 1017 | 4 | 459 | 554 | Hong Kong, China | ||
2801 | 2801 | Macau | China | 2020-04-15 14:46:10 | 22.1667 | 113.55 | 45 | 0 | 16 | 29 | Macau, China | ||
3009 | 3009 | Taiwan* | 2020-04-15 14:46:10 | 23.7 | 121.0 | 395 | 6 | 124 | 265 | Taiwan* | |||
2759 | 2759 | Anguilla | United Kingdom | 2020-04-15 22:56:32 | 18.2206 | -63.0686 | 3 | 0 | 1 | 2 | Anguilla, United Kingdom | ||
2761 | 2761 | Aruba | Netherlands | 2020-04-15 22:56:32 | 12.5211 | -69.9683 | 93 | 1 | 39 | 53 | Aruba, Netherlands | ||
2764 | 2764 | Bermuda | United Kingdom | 2020-04-15 22:56:32 | 32.3078 | -64.7505 | 81 | 5 | 33 | 43 | Bermuda, United Kingdom | ||
2765 | 2765 | Bonaire, Sint Eustatius and Saba | Netherlands | 2020-04-15 22:56:32 | 12.1784 | -68.2385 | 3 | 0 | 0 | 3 | Bonaire, Sint Eustatius and Saba, Netherlands | ||
2767 | 2767 | British Virgin Islands | United Kingdom | 2020-04-15 22:56:32 | 18.4207 | -64.64 | 3 | 0 | 2 | 1 | British Virgin Islands, United Kingdom | ||
2768 | 2768 | Cayman Islands | United Kingdom | 2020-04-15 22:56:32 | 19.3133 | -81.2546 | 54 | 1 | 6 | 47 | Cayman Islands, United Kingdom | ||
2769 | 2769 | Channel Islands | United Kingdom | 2020-04-15 22:56:32 | 49.3723 | -2.3644 | 447 | 15 | 69 | 363 | Channel Islands, United Kingdom | ||
2771 | 2771 | Curacao | Netherlands | 2020-04-15 22:56:32 | 12.1696 | -68.99 | 14 | 1 | 10 | 3 | Curacao, Netherlands | ||
2773 | 2773 | Falkland Islands (Malvinas) | United Kingdom | 2020-04-15 22:56:32 | -51.7963 | -59.5236 | 11 | 0 | 1 | 10 | Falkland Islands (Malvinas), United Kingdom | ||
2774 | 2774 | Faroe Islands | Denmark | 2020-04-15 22:56:32 | 61.8926 | -6.9118 | 184 | 0 | 166 | 18 | Faroe Islands, Denmark | ||
2775 | 2775 | French Guiana | France | 2020-04-15 22:56:32 | 4.0 | -53.0 | 86 | 0 | 51 | 35 | French Guiana, France | ||
2776 | 2776 | French Polynesia | France | 2020-04-15 22:56:32 | -17.6797 | -149.4068 | 55 | 0 | 0 | 55 | French Polynesia, France | ||
2779 | 2779 | Gibraltar | United Kingdom | 2020-04-15 22:56:32 | 36.1408 | -5.3536 | 131 | 0 | 104 | 27 | Gibraltar, United Kingdom | ||
2782 | 2782 | Greenland | Denmark | 2020-04-15 22:56:32 | 71.7069 | -42.6043 | 11 | 0 | 11 | 0 | Greenland, Denmark | ||
2783 | 2783 | Guadeloupe | France | 2020-04-15 22:56:32 | 16.265 | -61.551 | 145 | 8 | 67 | 70 | Guadeloupe, France | ||
2796 | 2796 | Isle of Man | United Kingdom | 2020-04-15 22:56:32 | 54.2361 | -4.5481 | 256 | 4 | 151 | 101 | Isle of Man, United Kingdom | ||
2803 | 2803 | Martinique | France | 2020-04-15 22:56:32 | 14.6415 | -61.0242 | 158 | 8 | 73 | 77 | Martinique, France | ||
2804 | 2804 | Mayotte | France | 2020-04-15 22:56:32 | -12.8275 | 45.166244 | 217 | 3 | 69 | 145 | Mayotte, France | ||
2805 | 2805 | Montserrat | United Kingdom | 2020-04-15 22:56:32 | 16.742498 | -62.187366000000004 | 11 | 0 | 1 | 10 | Montserrat, United Kingdom | ||
2807 | 2807 | New Caledonia | France | 2020-04-15 22:56:32 | -20.904304999999997 | 165.618042 | 18 | 0 | 1 | 17 | New Caledonia, France | ||
2824 | 2824 | Reunion | France | 2020-04-15 22:56:32 | -21.1151 | 55.5364 | 391 | 0 | 237 | 154 | Reunion, France | ||
2825 | 2825 | Saint Barthelemy | France | 2020-04-15 22:56:32 | 17.9 | -62.8333 | 6 | 0 | 4 | 2 | Saint Barthelemy, France | ||
2826 | 2826 | Saint Helena, Ascension and Tristan da Cunha | United Kingdom | 2020-04-15 22:56:32 | -7.9467 | -14.3559 | 0 | 0 | 0 | 0 | Saint Helena, Ascension and Tristan da Cunha, United Kingdom | ||
2827 | 2827 | Saint Pierre and Miquelon | France | 2020-04-15 22:56:32 | 46.8852 | -56.3159 | 1 | 0 | 0 | 1 | Saint Pierre and Miquelon, France | ||
2834 | 2834 | Sint Maarten | Netherlands | 2020-04-15 22:56:32 | 18.0425 | -63.0548 | 53 | 9 | 5 | 39 | Sint Maarten, Netherlands | ||
2836 | 2836 | St Martin | France | 2020-04-15 22:56:32 | 18.0708 | -63.0501 | 35 | 2 | 13 | 20 | St Martin, France | ||
2840 | 2840 | Turks and Caicos Islands | United Kingdom | 2020-04-15 22:56:32 | 21.69400000000001 | -71.7979 | 10 | 1 | 0 | 9 | Turks and Caicos Islands, United Kingdom | ||
2848 | 2848 | Afghanistan | 2020-04-15 22:56:32 | 33.93911 | 67.709953 | 785 | 29 | 43 | 716 | Afghanistan | |||
2849 | 2849 | Albania | 2020-04-15 22:56:32 | 41.1533 | 20.1683 | 494 | 25 | 251 | 218 | Albania | |||
2850 | 2850 | Algeria | 2020-04-15 22:56:32 | 28.0339 | 1.6596 | 2160 | 336 | 708 | 1116 | Algeria | |||
2851 | 2851 | Andorra | 2020-04-15 22:56:32 | 42.5063 | 1.5218 | 673 | 33 | 169 | 471 | Andorra | |||
2852 | 2852 | Angola | 2020-04-15 22:56:32 | -11.2027 | 17.8739 | 19 | 2 | 5 | 12 | Angola | |||
2853 | 2853 | Antigua and Barbuda | 2020-04-15 22:56:32 | 17.0608 | -61.7964 | 23 | 2 | 3 | 18 | Antigua and Barbuda | |||
2854 | 2854 | Argentina | 2020-04-15 22:56:32 | -38.4161 | -63.6167 | 2443 | 111 | 596 | 1736 | Argentina | |||
2855 | 2855 | Armenia | 2020-04-15 22:56:32 | 40.0691 | 45.0382 | 1111 | 17 | 297 | 797 | Armenia | |||
2856 | 2856 | Austria | 2020-04-15 22:56:32 | 47.5162 | 14.5501 | 14336 | 393 | 8098 | 5845 | Austria | |||
2857 | 2857 | Azerbaijan | 2020-04-15 22:56:32 | 40.1431 | 47.5769 | 1253 | 13 | 404 | 836 | Azerbaijan | |||
2858 | 2858 | Bahamas | 2020-04-15 22:56:32 | 25.025885 | -78.035889 | 49 | 8 | 6 | 35 | Bahamas | |||
2859 | 2859 | Bahrain | 2020-04-15 22:56:32 | 26.0275 | 50.55 | 1671 | 7 | 663 | 1001 | Bahrain | |||
2860 | 2860 | Bangladesh | 2020-04-15 22:56:32 | 23.685 | 90.3563 | 1231 | 50 | 49 | 1132 | Bangladesh | |||
2861 | 2861 | Barbados | 2020-04-15 22:56:32 | 13.1939 | -59.5432 | 73 | 5 | 15 | 53 | Barbados | |||
2862 | 2862 | Belarus | 2020-04-15 22:56:32 | 53.7098 | 27.9534 | 3728 | 36 | 203 | 3489 | Belarus | |||
2863 | 2863 | Belgium | 2020-04-15 22:56:32 | 50.8333 | 4.469936 | 33573 | 4440 | 7107 | 22026 | Belgium | |||
2864 | 2864 | Belize | 2020-04-15 22:56:32 | 17.1899 | -88.4976 | 18 | 2 | 0 | 16 | Belize | |||
2865 | 2865 | Benin | 2020-04-15 22:56:32 | 9.3077 | 2.3158 | 35 | 1 | 18 | 16 | Benin | |||
2866 | 2866 | Bhutan | 2020-04-15 22:56:32 | 27.5142 | 90.4336 | 5 | 0 | 2 | 3 | Bhutan | |||
2867 | 2867 | Bolivia | 2020-04-15 22:56:32 | -16.2902 | -63.5887 | 397 | 28 | 7 | 362 | Bolivia | |||
2868 | 2868 | Bosnia and Herzegovina | 2020-04-15 22:56:32 | 43.9159 | 17.6791 | 1110 | 41 | 253 | 816 | Bosnia and Herzegovina | |||
2869 | 2869 | Botswana | 2020-04-15 22:56:32 | -22.3285 | 24.6849 | 13 | 1 | 0 | 12 | Botswana | |||
2870 | 2870 | Brazil | 2020-04-15 22:56:32 | -14.235 | -51.9253 | 28320 | 1736 | 14026 | 12558 | Brazil | |||
2871 | 2871 | Brunei | 2020-04-15 22:56:32 | 4.5353 | 114.7277 | 136 | 1 | 108 | 27 | Brunei | |||
2872 | 2872 | Bulgaria | 2020-04-15 22:56:32 | 42.7339 | 25.4858 | 747 | 36 | 105 | 606 | Bulgaria | |||
2873 | 2873 | Burkina Faso | 2020-04-15 22:56:32 | 12.2383 | -1.5616 | 542 | 32 | 226 | 284 | Burkina Faso | |||
2874 | 2874 | Burma | 2020-04-15 22:56:32 | 21.9162 | 95.956 | 74 | 4 | 2 | 68 | Burma | |||
2875 | 2875 | Burundi | 2020-04-15 22:56:32 | -3.3731 | 29.9189 | 5 | 1 | 0 | 4 | Burundi | |||
2876 | 2876 | Cabo Verde | 2020-04-15 22:56:32 | 16.5388 | -23.0418 | 56 | 1 | 1 | 54 | Cabo Verde | |||
2877 | 2877 | Cambodia | 2020-04-15 22:56:32 | 11.55 | 104.9167 | 122 | 0 | 96 | 26 | Cambodia | |||
2878 | 2878 | Cameroon | 2020-04-15 22:56:32 | 3.8480000000000003 | 11.5021 | 848 | 17 | 165 | 666 | Cameroon | |||
2879 | 2879 | Central African Republic | 2020-04-15 22:56:32 | 6.6111 | 20.9394 | 12 | 0 | 4 | 8 | Central African Republic | |||
2880 | 2880 | Chad | 2020-04-15 22:56:32 | 15.4542 | 18.7322 | 23 | 0 | 2 | 21 | Chad | |||
2881 | 2881 | Chile | 2020-04-15 22:56:32 | -35.6751 | -71.543 | 8273 | 94 | 2937 | 5242 | Chile | |||
2882 | 2882 | Colombia | 2020-04-15 22:56:32 | 4.5709 | -74.2973 | 3105 | 131 | 452 | 2522 | Colombia | |||
2883 | 2883 | Congo (Brazzaville) | 2020-04-15 22:56:32 | -4.2634 | 15.2832 | 117 | 5 | 11 | 101 | Congo (Brazzaville) | |||
2884 | 2884 | Congo (Kinshasa) | 2020-04-15 22:56:32 | -4.322447 | 15.307045 | 254 | 21 | 21 | 212 | Congo (Kinshasa) | |||
2885 | 2885 | Costa Rica | 2020-04-15 22:56:32 | 9.7489 | -83.7534 | 626 | 4 | 67 | 555 | Costa Rica | |||
2886 | 2886 | Cote d'Ivoire | 2020-04-15 22:56:32 | 7.54 | -5.5471 | 638 | 6 | 114 | 518 | Cote d'Ivoire |
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CREATE TABLE [04-15-2020] ( [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 );