04-14-2020
Data source: Big Local News · About: README
3,015 rows sorted by Last_Update
This data as json, copyable, CSV (advanced)
Suggested facets: Last_Update (date)
Link | rowid | FIPS | Admin2 | Province_State | Country_Region | Last_Update ▼ | Lat | Long_ | Confirmed | Deaths | Recovered | Active | Combined_Key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2806 | 2806 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2826 | 2826 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2831 | 2831 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2797 | 2797 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2774 | 2774 | Guizhou | China | 2020-03-18 01:37:43 | 26.8154 | 106.8748 | 146 | 2 | 144 | 0 | Guizhou, China | ||
2775 | 2775 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2757 | 2757 | Chongqing | China | 2020-03-29 00:14:12 | 30.0572 | 107.874 | 579 | 6 | 570 | 3 | Chongqing, China | ||
2773 | 2773 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2781 | 2781 | Hunan | China | 2020-04-02 01:30:57 | 27.6104 | 111.7088 | 1019 | 4 | 1014 | 1 | Hunan, China | ||
2747 | 2747 | Anhui | China | 2020-04-09 01:12:20 | 31.8257 | 117.2264 | 991 | 6 | 984 | 1 | Anhui, China | ||
2785 | 2785 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2816 | 2816 | Shaanxi | China | 2020-04-11 00:52:23 | 35.1917 | 108.8701 | 256 | 3 | 248 | 5 | Shaanxi, China | ||
2788 | 2788 | Macau | China | 2020-04-12 12:33:48 | 22.1667 | 113.55 | 45 | 0 | 13 | 32 | Macau, China | ||
2819 | 2819 | Shanxi | China | 2020-04-13 00:27:41 | 37.5777 | 112.2922 | 173 | 0 | 135 | 38 | Shanxi, China | ||
2786 | 2786 | Jilin | China | 2020-04-13 09:36:31 | 43.6661 | 126.1923 | 100 | 1 | 96 | 3 | Jilin, China | ||
2820 | 2820 | Sichuan | China | 2020-04-13 09:36:31 | 30.6171 | 102.7103 | 560 | 3 | 548 | 9 | Sichuan, China | ||
2782 | 2782 | Inner Mongolia | China | 2020-04-13 23:49:09 | 44.0935 | 113.9448 | 190 | 1 | 91 | 98 | Inner Mongolia, China | ||
2833 | 2833 | Yunnan | China | 2020-04-14 00:13:34 | 24.974 | 101.487 | 184 | 2 | 175 | 7 | Yunnan, China | ||
2787 | 2787 | Liaoning | China | 2020-04-14 00:18:37 | 41.2956 | 122.6085 | 145 | 2 | 138 | 5 | Liaoning, China | ||
2778 | 2778 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.614 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2817 | 2817 | Shandong | China | 2020-04-14 00:43:57 | 36.3427 | 118.1498 | 784 | 7 | 759 | 18 | Shandong, China | ||
2777 | 2777 | Heilongjiang | China | 2020-04-14 00:52:07 | 47.862 | 127.7615 | 819 | 13 | 470 | 336 | Heilongjiang, China | ||
2780 | 2780 | Hubei | China | 2020-04-14 01:11:34 | 30.9756 | 112.2707 | 67803 | 3221 | 64363 | 219 | Hubei, China | ||
2750 | 2750 | Beijing | China | 2020-04-14 01:21:44 | 40.1824 | 116.4142 | 589 | 8 | 491 | 90 | Beijing, China | ||
2834 | 2834 | Zhejiang | China | 2020-04-14 01:37:55 | 29.1832 | 120.0934 | 1267 | 1 | 1242 | 24 | Zhejiang, China | ||
2776 | 2776 | Hebei | China | 2020-04-14 01:49:04 | 39.549 | 116.1306 | 327 | 6 | 314 | 7 | Hebei, China | ||
2784 | 2784 | Jiangsu | China | 2020-04-14 01:54:09 | 32.9711 | 119.455 | 653 | 0 | 641 | 12 | Jiangsu, China | ||
2764 | 2764 | Fujian | China | 2020-04-14 01:59:13 | 26.0789 | 117.9874 | 353 | 1 | 329 | 23 | Fujian, China | ||
2772 | 2772 | Guangdong | China | 2020-04-14 10:29:41 | 23.3417 | 113.4244 | 1564 | 8 | 1458 | 98 | Guangdong, China | ||
2779 | 2779 | Hong Kong | China | 2020-04-14 10:29:41 | 22.3 | 114.2 | 1012 | 4 | 434 | 574 | Hong Kong, China | ||
2818 | 2818 | Shanghai | China | 2020-04-14 10:39:48 | 31.202 | 121.4491 | 618 | 7 | 468 | 143 | Shanghai, China | ||
2996 | 2996 | Taiwan* | 2020-04-14 12:51:41 | 23.7 | 121.0 | 393 | 6 | 124 | 263 | Taiwan* | |||
2765 | 2765 | Gansu | China | 2020-04-14 14:31:10 | 37.8099 | 101.0583 | 139 | 2 | 136 | 1 | Gansu, China | ||
2825 | 2825 | Tianjin | China | 2020-04-14 14:31:10 | 39.3054 | 117.323 | 185 | 3 | 168 | 14 | Tianjin, China | ||
2746 | 2746 | Anguilla | United Kingdom | 2020-04-14 23:33:12 | 18.2206 | -63.0686 | 3 | 0 | 1 | 2 | Anguilla, United Kingdom | ||
2748 | 2748 | Aruba | Netherlands | 2020-04-14 23:33:12 | 12.5211 | -69.9683 | 92 | 0 | 32 | 60 | Aruba, Netherlands | ||
2751 | 2751 | Bermuda | United Kingdom | 2020-04-14 23:33:12 | 32.3078 | -64.7505 | 57 | 5 | 30 | 22 | Bermuda, United Kingdom | ||
2752 | 2752 | Bonaire, Sint Eustatius and Saba | Netherlands | 2020-04-14 23:33:12 | 12.1784 | -68.2385 | 3 | 0 | 0 | 3 | Bonaire, Sint Eustatius and Saba, Netherlands | ||
2754 | 2754 | British Virgin Islands | United Kingdom | 2020-04-14 23:33:12 | 18.4207 | -64.64 | 3 | 0 | 2 | 1 | British Virgin Islands, United Kingdom | ||
2755 | 2755 | Cayman Islands | United Kingdom | 2020-04-14 23:33:12 | 19.3133 | -81.2546 | 54 | 1 | 6 | 47 | Cayman Islands, United Kingdom | ||
2756 | 2756 | Channel Islands | United Kingdom | 2020-04-14 23:33:12 | 49.3723 | -2.3644 | 440 | 13 | 48 | 379 | Channel Islands, United Kingdom | ||
2758 | 2758 | Curacao | Netherlands | 2020-04-14 23:33:12 | 12.1696 | -68.99 | 14 | 1 | 10 | 3 | Curacao, Netherlands | ||
2760 | 2760 | Falkland Islands (Malvinas) | United Kingdom | 2020-04-14 23:33:12 | -51.7963 | -59.5236 | 11 | 0 | 1 | 10 | Falkland Islands (Malvinas), United Kingdom | ||
2761 | 2761 | Faroe Islands | Denmark | 2020-04-14 23:33:12 | 61.8926 | -6.9118 | 184 | 0 | 163 | 21 | Faroe Islands, Denmark | ||
2762 | 2762 | French Guiana | France | 2020-04-14 23:33:12 | 4.0 | -53.0 | 86 | 0 | 51 | 35 | French Guiana, France | ||
2763 | 2763 | French Polynesia | France | 2020-04-14 23:33:12 | -17.6797 | -149.4068 | 55 | 0 | 0 | 55 | French Polynesia, France | ||
2766 | 2766 | Gibraltar | United Kingdom | 2020-04-14 23:33:12 | 36.1408 | -5.3536 | 129 | 0 | 93 | 36 | Gibraltar, United Kingdom | ||
2769 | 2769 | Greenland | Denmark | 2020-04-14 23:33:12 | 71.7069 | -42.6043 | 11 | 0 | 11 | 0 | Greenland, Denmark | ||
2770 | 2770 | Guadeloupe | France | 2020-04-14 23:33:12 | 16.265 | -61.551 | 145 | 8 | 67 | 70 | Guadeloupe, France | ||
2783 | 2783 | Isle of Man | United Kingdom | 2020-04-14 23:33:12 | 54.2361 | -4.5481 | 254 | 2 | 141 | 111 | Isle of Man, United Kingdom | ||
2790 | 2790 | Martinique | France | 2020-04-14 23:33:12 | 14.6415 | -61.0242 | 157 | 6 | 50 | 101 | Martinique, France | ||
2791 | 2791 | Mayotte | France | 2020-04-14 23:33:12 | -12.8275 | 45.166244 | 217 | 3 | 69 | 145 | Mayotte, France | ||
2792 | 2792 | Montserrat | United Kingdom | 2020-04-14 23:33:12 | 16.742498 | -62.187366000000004 | 11 | 0 | 1 | 10 | Montserrat, United Kingdom | ||
2794 | 2794 | New Caledonia | France | 2020-04-14 23:33:12 | -20.904304999999997 | 165.618042 | 18 | 0 | 1 | 17 | New Caledonia, France | ||
2811 | 2811 | Reunion | France | 2020-04-14 23:33:12 | -21.1151 | 55.5364 | 391 | 0 | 40 | 351 | Reunion, France | ||
2812 | 2812 | Saint Barthelemy | France | 2020-04-14 23:33:12 | 17.9 | -62.8333 | 6 | 0 | 4 | 2 | Saint Barthelemy, France | ||
2813 | 2813 | Saint Helena, Ascension and Tristan da Cunha | United Kingdom | 2020-04-14 23:33:12 | -7.9467 | -14.3559 | 0 | 0 | 0 | 0 | Saint Helena, Ascension and Tristan da Cunha, United Kingdom | ||
2814 | 2814 | Saint Pierre and Miquelon | France | 2020-04-14 23:33:12 | 46.8852 | -56.3159 | 1 | 0 | 0 | 1 | Saint Pierre and Miquelon, France | ||
2821 | 2821 | Sint Maarten | Netherlands | 2020-04-14 23:33:12 | 18.0425 | -63.0548 | 52 | 9 | 5 | 38 | Sint Maarten, Netherlands | ||
2823 | 2823 | St Martin | France | 2020-04-14 23:33:12 | 18.0708 | -63.0501 | 32 | 2 | 11 | 19 | St Martin, France | ||
2827 | 2827 | Turks and Caicos Islands | United Kingdom | 2020-04-14 23:33:12 | 21.69400000000001 | -71.7979 | 10 | 1 | 0 | 9 | Turks and Caicos Islands, United Kingdom | ||
2835 | 2835 | Afghanistan | 2020-04-14 23:33:12 | 33.93911 | 67.709953 | 715 | 23 | 40 | 651 | Afghanistan | |||
2836 | 2836 | Albania | 2020-04-14 23:33:12 | 41.1533 | 20.1683 | 475 | 24 | 248 | 203 | Albania | |||
2837 | 2837 | Algeria | 2020-04-14 23:33:12 | 28.0339 | 1.6596 | 2070 | 326 | 691 | 1053 | Algeria | |||
2838 | 2838 | Andorra | 2020-04-14 23:33:12 | 42.5063 | 1.5218 | 659 | 31 | 128 | 500 | Andorra | |||
2839 | 2839 | Angola | 2020-04-14 23:33:12 | -11.2027 | 17.8739 | 19 | 2 | 5 | 12 | Angola | |||
2840 | 2840 | Antigua and Barbuda | 2020-04-14 23:33:12 | 17.0608 | -61.7964 | 23 | 2 | 3 | 18 | Antigua and Barbuda | |||
2841 | 2841 | Argentina | 2020-04-14 23:33:12 | -38.4161 | -63.6167 | 2277 | 102 | 559 | 1616 | Argentina | |||
2842 | 2842 | Armenia | 2020-04-14 23:33:12 | 40.0691 | 45.0382 | 1067 | 16 | 265 | 786 | Armenia | |||
2843 | 2843 | Austria | 2020-04-14 23:33:12 | 47.5162 | 14.5501 | 14226 | 384 | 7633 | 6209 | Austria | |||
2844 | 2844 | Azerbaijan | 2020-04-14 23:33:12 | 40.1431 | 47.5769 | 1197 | 13 | 351 | 833 | Azerbaijan | |||
2845 | 2845 | Bahamas | 2020-04-14 23:33:12 | 25.025885 | -78.035889 | 49 | 8 | 6 | 35 | Bahamas | |||
2846 | 2846 | Bahrain | 2020-04-14 23:33:12 | 26.0275 | 50.55 | 1528 | 7 | 645 | 876 | Bahrain | |||
2847 | 2847 | Bangladesh | 2020-04-14 23:33:12 | 23.685 | 90.3563 | 1012 | 46 | 42 | 924 | Bangladesh | |||
2848 | 2848 | Barbados | 2020-04-14 23:33:12 | 13.1939 | -59.5432 | 72 | 4 | 13 | 55 | Barbados | |||
2849 | 2849 | Belarus | 2020-04-14 23:33:12 | 53.7098 | 27.9534 | 3281 | 33 | 203 | 3045 | Belarus | |||
2850 | 2850 | Belgium | 2020-04-14 23:33:12 | 50.8333 | 4.469936 | 31119 | 4157 | 6868 | 20094 | Belgium | |||
2851 | 2851 | Belize | 2020-04-14 23:33:12 | 17.1899 | -88.4976 | 18 | 2 | 0 | 16 | Belize | |||
2852 | 2852 | Benin | 2020-04-14 23:33:12 | 9.3077 | 2.3158 | 35 | 1 | 18 | 16 | Benin | |||
2853 | 2853 | Bhutan | 2020-04-14 23:33:12 | 27.5142 | 90.4336 | 5 | 0 | 2 | 3 | Bhutan | |||
2854 | 2854 | Bolivia | 2020-04-14 23:33:12 | -16.2902 | -63.5887 | 354 | 28 | 6 | 320 | Bolivia | |||
2855 | 2855 | Bosnia and Herzegovina | 2020-04-14 23:33:12 | 43.9159 | 17.6791 | 1083 | 40 | 236 | 807 | Bosnia and Herzegovina | |||
2856 | 2856 | Botswana | 2020-04-14 23:33:12 | -22.3285 | 24.6849 | 13 | 1 | 0 | 12 | Botswana | |||
2857 | 2857 | Brazil | 2020-04-14 23:33:12 | -14.235 | -51.9253 | 25262 | 1532 | 3046 | 20684 | Brazil | |||
2858 | 2858 | Brunei | 2020-04-14 23:33:12 | 4.5353 | 114.7277 | 136 | 1 | 107 | 28 | Brunei | |||
2859 | 2859 | Bulgaria | 2020-04-14 23:33:12 | 42.7339 | 25.4858 | 713 | 35 | 81 | 597 | Bulgaria | |||
2860 | 2860 | Burkina Faso | 2020-04-14 23:33:12 | 12.2383 | -1.5616 | 528 | 30 | 177 | 321 | Burkina Faso | |||
2861 | 2861 | Burma | 2020-04-14 23:33:12 | 21.9162 | 95.956 | 63 | 4 | 2 | 57 | Burma | |||
2862 | 2862 | Burundi | 2020-04-14 23:33:12 | -3.3731 | 29.9189 | 5 | 1 | 0 | 4 | Burundi | |||
2863 | 2863 | Cabo Verde | 2020-04-14 23:33:12 | 16.5388 | -23.0418 | 11 | 1 | 1 | 9 | Cabo Verde | |||
2864 | 2864 | Cambodia | 2020-04-14 23:33:12 | 11.55 | 104.9167 | 122 | 0 | 91 | 31 | Cambodia | |||
2865 | 2865 | Cameroon | 2020-04-14 23:33:12 | 3.8480000000000003 | 11.5021 | 848 | 14 | 130 | 704 | Cameroon | |||
2866 | 2866 | Central African Republic | 2020-04-14 23:33:12 | 6.6111 | 20.9394 | 11 | 0 | 4 | 7 | Central African Republic | |||
2867 | 2867 | Chad | 2020-04-14 23:33:12 | 15.4542 | 18.7322 | 23 | 0 | 2 | 21 | Chad | |||
2868 | 2868 | Chile | 2020-04-14 23:33:12 | -35.6751 | -71.543 | 7917 | 92 | 2646 | 5179 | Chile | |||
2869 | 2869 | Colombia | 2020-04-14 23:33:12 | 4.5709 | -74.2973 | 2979 | 127 | 354 | 2498 | Colombia | |||
2870 | 2870 | Congo (Brazzaville) | 2020-04-14 23:33:12 | -4.2634 | 15.2832 | 60 | 5 | 5 | 50 | Congo (Brazzaville) | |||
2871 | 2871 | Congo (Kinshasa) | 2020-04-14 23:33:12 | -4.322447 | 15.307045 | 241 | 20 | 20 | 201 | Congo (Kinshasa) | |||
2872 | 2872 | Costa Rica | 2020-04-14 23:33:12 | 9.7489 | -83.7534 | 618 | 3 | 66 | 549 | Costa Rica | |||
2873 | 2873 | Cote d'Ivoire | 2020-04-14 23:33:12 | 7.54 | -5.5471 | 638 | 6 | 114 | 518 | Cote d'Ivoire |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [04-14-2020] ( [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 );