04-22-2020
Data source: Big Local News · About: README
3,101 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2892 | 2892 | Qinghai | China | 2020-02-23 11:19:02 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2912 | 2912 | Tibet | China | 2020-02-23 11:19:02 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2917 | 2917 | Xinjiang | China | 2020-03-08 05:31:02 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2883 | 2883 | Ningxia | China | 2020-03-16 08:47:05 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2861 | 2861 | Hainan | China | 2020-03-24 04:19:14 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2844 | 2844 | Chongqing | China | 2020-03-29 00:14:12 | 30.0572 | 107.874 | 579 | 6 | 570 | 3 | Chongqing, China | ||
2859 | 2859 | Guangxi | China | 2020-04-02 00:16:02 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2834 | 2834 | Anhui | China | 2020-04-09 01:12:20 | 31.8257 | 117.2264 | 991 | 6 | 984 | 1 | Anhui, China | ||
2871 | 2871 | Jiangxi | China | 2020-04-10 01:22:42 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2864 | 2864 | Henan | China | 2020-04-14 00:43:57 | 33.882 | 113.61399999999999 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2852 | 2852 | Gansu | China | 2020-04-16 13:44:14 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2867 | 2867 | Hunan | China | 2020-04-18 01:15:10 | 27.6104 | 111.7088 | 1019 | 4 | 1015 | 0 | Hunan, China | ||
2919 | 2919 | Yunnan | China | 2020-04-19 00:00:14 | 24.974 | 101.48700000000001 | 184 | 2 | 178 | 4 | Yunnan, China | ||
2860 | 2860 | Guizhou | China | 2020-04-19 00:51:07 | 26.8154 | 106.8748 | 147 | 2 | 145 | 0 | Guizhou, China | ||
2862 | 2862 | Hebei | China | 2020-04-20 01:20:14 | 39.549 | 116.1306 | 328 | 6 | 317 | 5 | Hebei, China | ||
2873 | 2873 | Liaoning | China | 2020-04-20 01:20:14 | 41.2956 | 122.6085 | 146 | 2 | 143 | 1 | Liaoning, China | ||
2905 | 2905 | Shanxi | China | 2020-04-21 00:12:35 | 37.5777 | 112.2922 | 197 | 0 | 140 | 57 | Shanxi, China | ||
2868 | 2868 | Inner Mongolia | China | 2020-04-21 01:04:31 | 44.0935 | 113.9448 | 194 | 1 | 108 | 85 | Inner Mongolia, China | ||
2911 | 2911 | Tianjin | China | 2020-04-21 12:33:57 | 39.3054 | 117.323 | 189 | 3 | 176 | 10 | Tianjin, China | ||
2903 | 2903 | Shandong | China | 2020-04-22 00:33:30 | 36.3427 | 118.1498 | 787 | 7 | 766 | 14 | Shandong, China | ||
2906 | 2906 | Sichuan | China | 2020-04-22 00:45:39 | 30.6171 | 102.7103 | 561 | 3 | 556 | 2 | Sichuan, China | ||
2837 | 2837 | Beijing | China | 2020-04-22 01:14:13 | 40.1824 | 116.4142 | 593 | 8 | 518 | 67 | Beijing, China | ||
2870 | 2870 | Jiangsu | China | 2020-04-22 01:14:13 | 32.9711 | 119.455 | 653 | 0 | 645 | 8 | Jiangsu, China | ||
2858 | 2858 | Guangdong | China | 2020-04-22 01:32:33 | 23.3417 | 113.4244 | 1582 | 8 | 1511 | 63 | Guangdong, China | ||
2866 | 2866 | Hubei | China | 2020-04-22 01:32:33 | 30.9756 | 112.2707 | 68128 | 4512 | 63519 | 97 | Hubei, China | ||
2920 | 2920 | Zhejiang | China | 2020-04-22 01:32:33 | 29.1832 | 120.0934 | 1268 | 1 | 1252 | 15 | Zhejiang, China | ||
2872 | 2872 | Jilin | China | 2020-04-22 01:40:40 | 43.6661 | 126.1923 | 106 | 1 | 98 | 7 | Jilin, China | ||
2851 | 2851 | Fujian | China | 2020-04-22 02:32:25 | 26.0789 | 117.9874 | 355 | 1 | 342 | 12 | Fujian, China | ||
2902 | 2902 | Shaanxi | China | 2020-04-22 02:37:29 | 35.1917 | 108.8701 | 279 | 3 | 253 | 23 | Shaanxi, China | ||
2904 | 2904 | Shanghai | China | 2020-04-22 07:14:57 | 31.201999999999998 | 121.4491 | 639 | 7 | 534 | 98 | Shanghai, China | ||
2863 | 2863 | Heilongjiang | China | 2020-04-22 10:15:03 | 47.861999999999995 | 127.7615 | 921 | 13 | 479 | 429 | Heilongjiang, China | ||
2865 | 2865 | Hong Kong | China | 2020-04-22 11:20:17 | 22.3 | 114.2 | 1033 | 4 | 678 | 351 | Hong Kong, China | ||
3082 | 3082 | Taiwan* | 2020-04-22 11:28:26 | 23.7 | 121.0 | 426 | 6 | 236 | 184 | Taiwan* | |||
2874 | 2874 | Macau | China | 2020-04-22 12:28:25 | 22.1667 | 113.55 | 45 | 0 | 26 | 19 | Macau, China | ||
2833 | 2833 | Anguilla | United Kingdom | 2020-04-22 23:30:32 | 18.2206 | -63.0686 | 3 | 0 | 1 | 2 | Anguilla, United Kingdom | ||
2835 | 2835 | Aruba | Netherlands | 2020-04-22 23:30:32 | 12.5211 | -69.9683 | 100 | 2 | 68 | 30 | Aruba, Netherlands | ||
2838 | 2838 | Bermuda | United Kingdom | 2020-04-22 23:30:32 | 32.3078 | -64.7505 | 99 | 5 | 39 | 55 | Bermuda, United Kingdom | ||
2839 | 2839 | Bonaire, Sint Eustatius and Saba | Netherlands | 2020-04-22 23:30:32 | 12.1784 | -68.2385 | 5 | 0 | 0 | 5 | Bonaire, Sint Eustatius and Saba, Netherlands | ||
2841 | 2841 | British Virgin Islands | United Kingdom | 2020-04-22 23:30:32 | 18.4207 | -64.64 | 5 | 1 | 3 | 1 | British Virgin Islands, United Kingdom | ||
2842 | 2842 | Cayman Islands | United Kingdom | 2020-04-22 23:30:32 | 19.3133 | -81.2546 | 66 | 1 | 7 | 58 | Cayman Islands, United Kingdom | ||
2843 | 2843 | Channel Islands | United Kingdom | 2020-04-22 23:30:32 | 49.3723 | -2.3644 | 498 | 28 | 285 | 185 | Channel Islands, United Kingdom | ||
2845 | 2845 | Curacao | Netherlands | 2020-04-22 23:30:32 | 12.1696 | -68.99 | 14 | 1 | 11 | 2 | Curacao, Netherlands | ||
2847 | 2847 | Falkland Islands (Malvinas) | United Kingdom | 2020-04-22 23:30:32 | -51.7963 | -59.5236 | 11 | 0 | 3 | 8 | Falkland Islands (Malvinas), United Kingdom | ||
2848 | 2848 | Faroe Islands | Denmark | 2020-04-22 23:30:32 | 61.8926 | -6.9118 | 185 | 0 | 178 | 7 | Faroe Islands, Denmark | ||
2849 | 2849 | French Guiana | France | 2020-04-22 23:30:32 | 4.0 | -53.0 | 97 | 1 | 83 | 13 | French Guiana, France | ||
2850 | 2850 | French Polynesia | France | 2020-04-22 23:30:32 | -17.6797 | -149.4068 | 57 | 0 | 35 | 22 | French Polynesia, France | ||
2853 | 2853 | Gibraltar | United Kingdom | 2020-04-22 23:30:32 | 36.1408 | -5.3536 | 132 | 0 | 127 | 5 | Gibraltar, United Kingdom | ||
2855 | 2855 | Greenland | Denmark | 2020-04-22 23:30:32 | 71.7069 | -42.6043 | 11 | 0 | 11 | 0 | Greenland, Denmark | ||
2856 | 2856 | Guadeloupe | France | 2020-04-22 23:30:32 | 16.265 | -61.551 | 148 | 12 | 73 | 63 | Guadeloupe, France | ||
2869 | 2869 | Isle of Man | United Kingdom | 2020-04-22 23:30:32 | 54.2361 | -4.5481 | 307 | 15 | 212 | 80 | Isle of Man, United Kingdom | ||
2876 | 2876 | Martinique | France | 2020-04-22 23:30:32 | 14.6415 | -61.0242 | 164 | 14 | 73 | 77 | Martinique, France | ||
2877 | 2877 | Mayotte | France | 2020-04-22 23:30:32 | -12.8275 | 45.166244 | 326 | 4 | 125 | 197 | Mayotte, France | ||
2878 | 2878 | Montserrat | United Kingdom | 2020-04-22 23:30:32 | 16.742498 | -62.187366000000004 | 11 | 0 | 2 | 9 | Montserrat, United Kingdom | ||
2880 | 2880 | New Caledonia | France | 2020-04-22 23:30:32 | -20.904304999999997 | 165.618042 | 18 | 0 | 17 | 1 | New Caledonia, France | ||
2897 | 2897 | Reunion | France | 2020-04-22 23:30:32 | -21.1151 | 55.5364 | 410 | 0 | 238 | 172 | Reunion, France | ||
2898 | 2898 | Saint Barthelemy | France | 2020-04-22 23:30:32 | 17.9 | -62.8333 | 6 | 0 | 6 | 0 | Saint Barthelemy, France | ||
2899 | 2899 | Saint Helena, Ascension and Tristan da Cunha | United Kingdom | 2020-04-22 23:30:32 | -7.9467 | -14.3559 | 0 | 0 | 0 | 0 | Saint Helena, Ascension and Tristan da Cunha, United Kingdom | ||
2900 | 2900 | Saint Pierre and Miquelon | France | 2020-04-22 23:30:32 | 46.8852 | -56.3159 | 1 | 0 | 0 | 1 | Saint Pierre and Miquelon, France | ||
2907 | 2907 | Sint Maarten | Netherlands | 2020-04-22 23:30:32 | 18.0425 | -63.0548 | 71 | 11 | 22 | 38 | Sint Maarten, Netherlands | ||
2909 | 2909 | St Martin | France | 2020-04-22 23:30:32 | 18.0708 | -63.0501 | 38 | 2 | 19 | 17 | St Martin, France | ||
2913 | 2913 | Turks and Caicos Islands | United Kingdom | 2020-04-22 23:30:32 | 21.69400000000001 | -71.7979 | 11 | 1 | 4 | 6 | Turks and Caicos Islands, United Kingdom | ||
2921 | 2921 | Afghanistan | 2020-04-22 23:30:32 | 33.93911 | 67.709953 | 1177 | 40 | 166 | 970 | Afghanistan | |||
2922 | 2922 | Albania | 2020-04-22 23:30:32 | 41.1533 | 20.1683 | 634 | 27 | 356 | 251 | Albania | |||
2923 | 2923 | Algeria | 2020-04-22 23:30:32 | 28.0339 | 1.6596 | 2910 | 402 | 1204 | 1304 | Algeria | |||
2924 | 2924 | Andorra | 2020-04-22 23:30:32 | 42.5063 | 1.5218 | 723 | 37 | 309 | 377 | Andorra | |||
2925 | 2925 | Angola | 2020-04-22 23:30:32 | -11.2027 | 17.8739 | 25 | 2 | 6 | 17 | Angola | |||
2926 | 2926 | Antigua and Barbuda | 2020-04-22 23:30:32 | 17.0608 | -61.7964 | 24 | 3 | 10 | 11 | Antigua and Barbuda | |||
2927 | 2927 | Argentina | 2020-04-22 23:30:32 | -38.4161 | -63.6167 | 3144 | 152 | 872 | 2120 | Argentina | |||
2928 | 2928 | Armenia | 2020-04-22 23:30:32 | 40.0691 | 45.0382 | 1473 | 24 | 633 | 816 | Armenia | |||
2929 | 2929 | Austria | 2020-04-22 23:30:32 | 47.5162 | 14.5501 | 14925 | 510 | 11328 | 3087 | Austria | |||
2930 | 2930 | Azerbaijan | 2020-04-22 23:30:32 | 40.1431 | 47.5769 | 1518 | 20 | 907 | 591 | Azerbaijan | |||
2931 | 2931 | Bahamas | 2020-04-22 23:30:32 | 25.025885 | -78.035889 | 65 | 9 | 12 | 44 | Bahamas | |||
2932 | 2932 | Bahrain | 2020-04-22 23:30:32 | 26.0275 | 50.55 | 2027 | 7 | 1026 | 994 | Bahrain | |||
2933 | 2933 | Bangladesh | 2020-04-22 23:30:32 | 23.685 | 90.3563 | 3772 | 120 | 92 | 3560 | Bangladesh | |||
2934 | 2934 | Barbados | 2020-04-22 23:30:32 | 13.1939 | -59.5432 | 75 | 5 | 25 | 45 | Barbados | |||
2935 | 2935 | Belarus | 2020-04-22 23:30:32 | 53.7098 | 27.9534 | 7281 | 58 | 769 | 6454 | Belarus | |||
2936 | 2936 | Belgium | 2020-04-22 23:30:32 | 50.8333 | 4.469936 | 41889 | 6262 | 9433 | 26194 | Belgium | |||
2937 | 2937 | Belize | 2020-04-22 23:30:32 | 17.1899 | -88.4976 | 18 | 2 | 2 | 14 | Belize | |||
2938 | 2938 | Benin | 2020-04-22 23:30:32 | 9.3077 | 2.3158 | 54 | 1 | 27 | 26 | Benin | |||
2939 | 2939 | Bhutan | 2020-04-22 23:30:32 | 27.5142 | 90.4336 | 6 | 0 | 2 | 4 | Bhutan | |||
2940 | 2940 | Bolivia | 2020-04-22 23:30:32 | -16.2902 | -63.5887 | 609 | 37 | 44 | 528 | Bolivia | |||
2941 | 2941 | Bosnia and Herzegovina | 2020-04-22 23:30:32 | 43.9159 | 17.6791 | 1368 | 53 | 460 | 855 | Bosnia and Herzegovina | |||
2942 | 2942 | Botswana | 2020-04-22 23:30:32 | -22.3285 | 24.6849 | 22 | 1 | 0 | 21 | Botswana | |||
2943 | 2943 | Brazil | 2020-04-22 23:30:32 | -14.235 | -51.9253 | 45757 | 2906 | 25318 | 17533 | Brazil | |||
2944 | 2944 | Brunei | 2020-04-22 23:30:32 | 4.5353 | 114.7277 | 138 | 1 | 117 | 20 | Brunei | |||
2945 | 2945 | Bulgaria | 2020-04-22 23:30:32 | 42.7339 | 25.4858 | 1024 | 49 | 174 | 801 | Bulgaria | |||
2946 | 2946 | Burkina Faso | 2020-04-22 23:30:32 | 12.2383 | -1.5616 | 609 | 39 | 389 | 181 | Burkina Faso | |||
2947 | 2947 | Burma | 2020-04-22 23:30:32 | 21.9162 | 95.956 | 123 | 5 | 7 | 111 | Burma | |||
2948 | 2948 | Burundi | 2020-04-22 23:30:32 | -3.3731 | 29.9189 | 11 | 1 | 4 | 6 | Burundi | |||
2949 | 2949 | Cabo Verde | 2020-04-22 23:30:32 | 16.5388 | -23.0418 | 73 | 1 | 1 | 71 | Cabo Verde | |||
2950 | 2950 | Cambodia | 2020-04-22 23:30:32 | 11.55 | 104.9167 | 122 | 0 | 110 | 12 | Cambodia | |||
2951 | 2951 | Cameroon | 2020-04-22 23:30:32 | 3.8480000000000003 | 11.5021 | 1163 | 43 | 397 | 723 | Cameroon | |||
2952 | 2952 | Central African Republic | 2020-04-22 23:30:32 | 6.6111 | 20.9394 | 14 | 0 | 10 | 4 | Central African Republic | |||
2953 | 2953 | Chad | 2020-04-22 23:30:32 | 15.4542 | 18.7322 | 33 | 0 | 8 | 25 | Chad | |||
2954 | 2954 | Chile | 2020-04-22 23:30:32 | -35.6751 | -71.543 | 11296 | 160 | 5386 | 5750 | Chile | |||
2955 | 2955 | Colombia | 2020-04-22 23:30:32 | 4.5709 | -74.2973 | 4356 | 206 | 870 | 3280 | Colombia | |||
2956 | 2956 | Congo (Brazzaville) | 2020-04-22 23:30:32 | -4.2634 | 15.2832 | 186 | 6 | 16 | 164 | Congo (Brazzaville) | |||
2957 | 2957 | Congo (Kinshasa) | 2020-04-22 23:30:32 | -4.322447 | 15.307045 | 359 | 25 | 45 | 289 | Congo (Kinshasa) | |||
2958 | 2958 | Costa Rica | 2020-04-22 23:30:32 | 9.7489 | -83.7534 | 681 | 6 | 180 | 495 | Costa Rica | |||
2959 | 2959 | Cote d'Ivoire | 2020-04-22 23:30:32 | 7.54 | -5.5471 | 952 | 14 | 310 | 628 | Cote d'Ivoire |
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CREATE TABLE [04-22-2020] ( [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 );