04-29-2020
Data source: Big Local News · About: README
3,170 rows sorted by FIPS
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
143 | 143 | Bear River | Utah | US | 2020-04-30 02:32:27 | 41.52106798 | -113.08328159999999 | 60 | 1 | 0 | 59 | Bear River, Utah, US | |
395 | 395 | Central Utah | Utah | US | 2020-04-30 02:32:27 | 39.37231946 | -111.5758676 | 22 | 0 | 0 | 22 | Central Utah, Utah, US | |
746 | 746 | Dukes and Nantucket | Massachusetts | US | 2020-04-30 02:32:27 | 41.40674725 | -70.68763497 | 27 | 1 | 0 | 26 | Dukes and Nantucket, Massachusetts, US | |
833 | 833 | Federal Correctional Institution (FCI) | Michigan | US | 2020-04-30 02:32:27 | 86 | 1 | 0 | 85 | Federal Correctional Institution (FCI), Michigan, US | |||
1319 | 1319 | Kansas City | Missouri | US | 2020-04-30 02:32:27 | 39.0997 | -94.5786 | 520 | 16 | 0 | 504 | Kansas City, Missouri, US | |
1720 | 1720 | Michigan Department of Corrections (MDOC) | Michigan | US | 2020-04-30 02:32:27 | 1264 | 41 | 0 | 1223 | Michigan Department of Corrections (MDOC), Michigan, US | |||
2385 | 2385 | Southeast Utah | Utah | US | 2020-04-30 02:32:27 | 38.99617072 | -110.70139579999999 | 14 | 0 | 0 | 14 | Southeast Utah, Utah, US | |
2387 | 2387 | Southwest Utah | Utah | US | 2020-04-30 02:32:27 | 37.85447192 | -111.4418764 | 93 | 2 | 0 | 91 | Southwest Utah, Utah, US | |
2552 | 2552 | TriCounty | Utah | US | 2020-04-30 02:32:27 | 40.12491499 | -109.5174415 | 11 | 0 | 0 | 11 | TriCounty, Utah, US | |
2775 | 2775 | Weber-Morgan | Utah | US | 2020-04-30 02:32:27 | 41.27116049 | -111.9145117 | 151 | 2 | 0 | 149 | Weber-Morgan, Utah, US | |
2899 | 2899 | Alberta | Canada | 2020-04-30 02:32:27 | 53.9333 | -116.5765 | 5165 | 87 | 0 | 5078 | Alberta, Canada | ||
2900 | 2900 | Anguilla | United Kingdom | 2020-04-30 02:32:27 | 18.2206 | -63.0686 | 3 | 0 | 3 | 0 | Anguilla, United Kingdom | ||
2901 | 2901 | Anhui | China | 2020-04-30 02:32:27 | 31.8257 | 117.2264 | 991 | 6 | 985 | 0 | Anhui, China | ||
2902 | 2902 | Aruba | Netherlands | 2020-04-30 02:32:27 | 12.5211 | -69.9683 | 100 | 2 | 73 | 25 | Aruba, Netherlands | ||
2903 | 2903 | Australian Capital Territory | Australia | 2020-04-30 02:32:27 | -35.4735 | 149.0124 | 106 | 3 | 101 | 2 | Australian Capital Territory, Australia | ||
2904 | 2904 | Beijing | China | 2020-04-30 02:32:27 | 40.1824 | 116.4142 | 593 | 9 | 542 | 42 | Beijing, China | ||
2905 | 2905 | Bermuda | United Kingdom | 2020-04-30 02:32:27 | 32.3078 | -64.7505 | 111 | 6 | 48 | 57 | Bermuda, United Kingdom | ||
2906 | 2906 | Bonaire, Sint Eustatius and Saba | Netherlands | 2020-04-30 02:32:27 | 12.1784 | -68.2385 | 5 | 0 | 0 | 5 | Bonaire, Sint Eustatius and Saba, Netherlands | ||
2907 | 2907 | British Columbia | Canada | 2020-04-30 02:32:27 | 53.7267 | -127.6476 | 2087 | 109 | 0 | 1978 | British Columbia, Canada | ||
2908 | 2908 | British Virgin Islands | United Kingdom | 2020-04-30 02:32:27 | 18.4207 | -64.64 | 6 | 1 | 3 | 2 | British Virgin Islands, United Kingdom | ||
2909 | 2909 | Cayman Islands | United Kingdom | 2020-04-30 02:32:27 | 19.3133 | -81.2546 | 73 | 1 | 10 | 62 | Cayman Islands, United Kingdom | ||
2910 | 2910 | Channel Islands | United Kingdom | 2020-04-30 02:32:27 | 49.3723 | -2.3644 | 537 | 38 | 386 | 113 | Channel Islands, United Kingdom | ||
2911 | 2911 | Chongqing | China | 2020-04-30 02:32:27 | 30.0572 | 107.874 | 579 | 6 | 573 | 0 | Chongqing, China | ||
2912 | 2912 | Curacao | Netherlands | 2020-04-30 02:32:27 | 12.1696 | -68.99 | 16 | 1 | 13 | 2 | Curacao, Netherlands | ||
2913 | 2913 | Diamond Princess | Canada | 2020-04-30 02:32:27 | 0 | 1 | 0 | -1 | Diamond Princess, Canada | ||||
2915 | 2915 | Falkland Islands (Malvinas) | United Kingdom | 2020-04-30 02:32:27 | -51.7963 | -59.5236 | 13 | 0 | 11 | 2 | Falkland Islands (Malvinas), United Kingdom | ||
2916 | 2916 | Faroe Islands | Denmark | 2020-04-30 02:32:27 | 61.8926 | -6.9118 | 187 | 0 | 181 | 6 | Faroe Islands, Denmark | ||
2917 | 2917 | French Guiana | France | 2020-04-30 02:32:27 | 4.0 | -53.0 | 125 | 1 | 93 | 31 | French Guiana, France | ||
2918 | 2918 | French Polynesia | France | 2020-04-30 02:32:27 | -17.6797 | -149.4068 | 58 | 0 | 50 | 8 | French Polynesia, France | ||
2919 | 2919 | Fujian | China | 2020-04-30 02:32:27 | 26.0789 | 117.9874 | 355 | 1 | 353 | 1 | Fujian, China | ||
2920 | 2920 | Gansu | China | 2020-04-30 02:32:27 | 37.8099 | 101.0583 | 139 | 2 | 137 | 0 | Gansu, China | ||
2921 | 2921 | Gibraltar | United Kingdom | 2020-04-30 02:32:27 | 36.1408 | -5.3536 | 141 | 0 | 131 | 10 | Gibraltar, United Kingdom | ||
2922 | 2922 | Grand Princess | Canada | 2020-04-30 02:32:27 | 13 | 0 | 0 | 13 | Grand Princess, Canada | ||||
2924 | 2924 | Greenland | Denmark | 2020-04-30 02:32:27 | 71.7069 | -42.6043 | 11 | 0 | 11 | 0 | Greenland, Denmark | ||
2925 | 2925 | Guadeloupe | France | 2020-04-30 02:32:27 | 16.265 | -61.551 | 149 | 12 | 82 | 55 | Guadeloupe, France | ||
2927 | 2927 | Guangdong | China | 2020-04-30 02:32:27 | 23.3417 | 113.4244 | 1588 | 8 | 1557 | 23 | Guangdong, China | ||
2928 | 2928 | Guangxi | China | 2020-04-30 02:32:27 | 23.8298 | 108.7881 | 254 | 2 | 252 | 0 | Guangxi, China | ||
2929 | 2929 | Guizhou | China | 2020-04-30 02:32:27 | 26.8154 | 106.8748 | 147 | 2 | 145 | 0 | Guizhou, China | ||
2930 | 2930 | Hainan | China | 2020-04-30 02:32:27 | 19.1959 | 109.7453 | 168 | 6 | 162 | 0 | Hainan, China | ||
2931 | 2931 | Hebei | China | 2020-04-30 02:32:27 | 39.549 | 116.1306 | 328 | 6 | 318 | 4 | Hebei, China | ||
2932 | 2932 | Heilongjiang | China | 2020-04-30 02:32:27 | 47.862 | 127.7615 | 939 | 13 | 587 | 339 | Heilongjiang, China | ||
2933 | 2933 | Henan | China | 2020-04-30 02:32:27 | 33.882 | 113.614 | 1276 | 22 | 1254 | 0 | Henan, China | ||
2934 | 2934 | Hong Kong | China | 2020-04-30 02:32:27 | 22.3 | 114.2 | 1037 | 4 | 830 | 203 | Hong Kong, China | ||
2935 | 2935 | Hubei | China | 2020-04-30 02:32:27 | 30.9756 | 112.2707 | 68128 | 4512 | 63616 | 0 | Hubei, China | ||
2936 | 2936 | Hunan | China | 2020-04-30 02:32:27 | 27.6104 | 111.7088 | 1019 | 4 | 1015 | 0 | Hunan, China | ||
2937 | 2937 | Inner Mongolia | China | 2020-04-30 02:32:27 | 44.0935 | 113.9448 | 200 | 1 | 150 | 49 | Inner Mongolia, China | ||
2938 | 2938 | Isle of Man | United Kingdom | 2020-04-30 02:32:27 | 54.2361 | -4.5481 | 313 | 21 | 258 | 34 | Isle of Man, United Kingdom | ||
2939 | 2939 | Jiangsu | China | 2020-04-30 02:32:27 | 32.9711 | 119.455 | 653 | 0 | 648 | 5 | Jiangsu, China | ||
2940 | 2940 | Jiangxi | China | 2020-04-30 02:32:27 | 27.614 | 115.7221 | 937 | 1 | 936 | 0 | Jiangxi, China | ||
2941 | 2941 | Jilin | China | 2020-04-30 02:32:27 | 43.6661 | 126.1923 | 111 | 1 | 99 | 11 | Jilin, China | ||
2942 | 2942 | Liaoning | China | 2020-04-30 02:32:27 | 41.2956 | 122.6085 | 146 | 2 | 143 | 1 | Liaoning, China | ||
2943 | 2943 | Macau | China | 2020-04-30 02:32:27 | 22.1667 | 113.55 | 45 | 0 | 34 | 11 | Macau, China | ||
2944 | 2944 | Manitoba | Canada | 2020-04-30 02:32:27 | 53.7609 | -98.8139 | 275 | 6 | 0 | 269 | Manitoba, Canada | ||
2945 | 2945 | Martinique | France | 2020-04-30 02:32:27 | 14.6415 | -61.0242 | 175 | 14 | 83 | 78 | Martinique, France | ||
2946 | 2946 | Mayotte | France | 2020-04-30 02:32:27 | -12.8275 | 45.166244 | 460 | 4 | 235 | 221 | Mayotte, France | ||
2947 | 2947 | Montserrat | United Kingdom | 2020-04-30 02:32:27 | 16.742498 | -62.187366000000004 | 11 | 1 | 2 | 8 | Montserrat, United Kingdom | ||
2948 | 2948 | New Brunswick | Canada | 2020-04-30 02:32:27 | 46.5653 | -66.4619 | 118 | 0 | 0 | 118 | New Brunswick, Canada | ||
2949 | 2949 | New Caledonia | France | 2020-04-30 02:32:27 | -20.904304999999997 | 165.618042 | 18 | 0 | 17 | 1 | New Caledonia, France | ||
2950 | 2950 | New South Wales | Australia | 2020-04-30 02:32:27 | -33.8688 | 151.2093 | 3016 | 40 | 2284 | 692 | New South Wales, Australia | ||
2951 | 2951 | Newfoundland and Labrador | Canada | 2020-04-30 02:32:27 | 53.1355 | -57.6604 | 258 | 3 | 0 | 255 | Newfoundland and Labrador, Canada | ||
2952 | 2952 | Ningxia | China | 2020-04-30 02:32:27 | 37.2692 | 106.1655 | 75 | 0 | 75 | 0 | Ningxia, China | ||
2954 | 2954 | Northern Territory | Australia | 2020-04-30 02:32:27 | -12.4634 | 130.8456 | 28 | 0 | 25 | 3 | Northern Territory, Australia | ||
2955 | 2955 | Northwest Territories | Canada | 2020-04-30 02:32:27 | 64.8255 | -124.8457 | 5 | 0 | 0 | 5 | Northwest Territories, Canada | ||
2956 | 2956 | Nova Scotia | Canada | 2020-04-30 02:32:27 | 44.681999999999995 | -63.7443 | 935 | 28 | 0 | 907 | Nova Scotia, Canada | ||
2957 | 2957 | Nunavut | Canada | 2020-04-30 02:32:27 | 70.2998 | -83.1076 | 0 | 0 | 0 | 0 | Nunavut, Canada | ||
2958 | 2958 | Ontario | Canada | 2020-04-30 02:32:27 | 51.2538 | -85.3232 | 16978 | 1153 | 0 | 15825 | Ontario, Canada | ||
2959 | 2959 | Prince Edward Island | Canada | 2020-04-30 02:32:27 | 46.5107 | -63.4168 | 27 | 0 | 0 | 27 | Prince Edward Island, Canada | ||
2961 | 2961 | Qinghai | China | 2020-04-30 02:32:27 | 35.7452 | 95.9956 | 18 | 0 | 18 | 0 | Qinghai, China | ||
2962 | 2962 | Quebec | Canada | 2020-04-30 02:32:27 | 52.9399 | -73.5491 | 26610 | 2607 | 0 | 24848 | Quebec, Canada | ||
2963 | 2963 | Queensland | Australia | 2020-04-30 02:32:27 | -27.4698 | 153.0251 | 1033 | 6 | 943 | 84 | Queensland, Australia | ||
2964 | 2964 | Recovered | Canada | 2020-04-30 02:32:27 | 0 | 0 | 20327 | -20327 | Recovered, Canada | ||||
2965 | 2965 | Recovered | US | 2020-04-30 02:32:27 | 0 | 0 | 120720 | -120720 | Recovered, US | ||||
2966 | 2966 | Reunion | France | 2020-04-30 02:32:27 | -21.1151 | 55.5364 | 420 | 0 | 300 | 120 | Reunion, France | ||
2967 | 2967 | Saint Barthelemy | France | 2020-04-30 02:32:27 | 17.9 | -62.8333 | 6 | 0 | 6 | 0 | Saint Barthelemy, France | ||
2968 | 2968 | Saint Helena, Ascension and Tristan da Cunha | United Kingdom | 2020-04-30 02:32:27 | -7.9467 | -14.3559 | 0 | 0 | 0 | 0 | Saint Helena, Ascension and Tristan da Cunha, United Kingdom | ||
2969 | 2969 | Saint Pierre and Miquelon | France | 2020-04-30 02:32:27 | 46.8852 | -56.3159 | 1 | 0 | 0 | 1 | Saint Pierre and Miquelon, France | ||
2970 | 2970 | Saskatchewan | Canada | 2020-04-30 02:32:27 | 52.9399 | -106.4509 | 383 | 6 | 0 | 377 | Saskatchewan, Canada | ||
2971 | 2971 | Shaanxi | China | 2020-04-30 02:32:27 | 35.1917 | 108.8701 | 306 | 3 | 253 | 50 | Shaanxi, China | ||
2972 | 2972 | Shandong | China | 2020-04-30 02:32:27 | 36.3427 | 118.1498 | 787 | 7 | 772 | 8 | Shandong, China | ||
2973 | 2973 | Shanghai | China | 2020-04-30 02:32:27 | 31.202 | 121.4491 | 647 | 7 | 597 | 43 | Shanghai, China | ||
2974 | 2974 | Shanxi | China | 2020-04-30 02:32:27 | 37.5777 | 112.2922 | 197 | 0 | 164 | 33 | Shanxi, China | ||
2975 | 2975 | Sichuan | China | 2020-04-30 02:32:27 | 30.6171 | 102.7103 | 561 | 3 | 558 | 0 | Sichuan, China | ||
2976 | 2976 | Sint Maarten | Netherlands | 2020-04-30 02:32:27 | 18.0425 | -63.0548 | 75 | 13 | 33 | 29 | Sint Maarten, Netherlands | ||
2977 | 2977 | South Australia | Australia | 2020-04-30 02:32:27 | -34.9285 | 138.6007 | 438 | 4 | 420 | 14 | South Australia, Australia | ||
2978 | 2978 | St Martin | France | 2020-04-30 02:32:27 | 18.0708 | -63.0501 | 38 | 3 | 24 | 11 | St Martin, France | ||
2979 | 2979 | Tasmania | Australia | 2020-04-30 02:32:27 | -42.8821 | 147.3272 | 219 | 12 | 144 | 63 | Tasmania, Australia | ||
2980 | 2980 | Tianjin | China | 2020-04-30 02:32:27 | 39.3054 | 117.323 | 190 | 3 | 183 | 4 | Tianjin, China | ||
2981 | 2981 | Tibet | China | 2020-04-30 02:32:27 | 31.6927 | 88.0924 | 1 | 0 | 1 | 0 | Tibet, China | ||
2982 | 2982 | Turks and Caicos Islands | United Kingdom | 2020-04-30 02:32:27 | 21.69400000000001 | -71.7979 | 12 | 1 | 5 | 6 | Turks and Caicos Islands, United Kingdom | ||
2983 | 2983 | Victoria | Australia | 2020-04-30 02:32:27 | -37.8136 | 144.9631 | 1361 | 18 | 1291 | 52 | Victoria, Australia | ||
2985 | 2985 | Western Australia | Australia | 2020-04-30 02:32:27 | -31.9505 | 115.8605 | 551 | 8 | 507 | 36 | Western Australia, Australia | ||
2986 | 2986 | Xinjiang | China | 2020-04-30 02:32:27 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2987 | 2987 | Yukon | Canada | 2020-04-30 02:32:27 | 64.2823 | -135.0 | 11 | 0 | 0 | 11 | Yukon, Canada | ||
2988 | 2988 | Yunnan | China | 2020-04-30 02:32:27 | 24.974 | 101.487 | 185 | 2 | 181 | 2 | Yunnan, China | ||
2989 | 2989 | Zhejiang | China | 2020-04-30 02:32:27 | 29.1832 | 120.0934 | 1268 | 1 | 1263 | 4 | Zhejiang, China | ||
2990 | 2990 | Afghanistan | 2020-04-30 02:32:27 | 33.93911 | 67.709953 | 1940 | 61 | 252 | 1627 | Afghanistan | |||
2991 | 2991 | Albania | 2020-04-30 02:32:27 | 41.1533 | 20.1683 | 766 | 30 | 455 | 281 | Albania | |||
2992 | 2992 | Algeria | 2020-04-30 02:32:27 | 28.0339 | 1.6596 | 3848 | 444 | 1702 | 1702 | Algeria | |||
2993 | 2993 | Andorra | 2020-04-30 02:32:27 | 42.5063 | 1.5218 | 743 | 42 | 423 | 278 | Andorra | |||
2994 | 2994 | Angola | 2020-04-30 02:32:27 | -11.2027 | 17.8739 | 27 | 2 | 7 | 18 | Angola |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [04-29-2020] ( [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 );