05-09-2020
Data source: Big Local News · About: README
3,234 rows sorted by Combined_Key descending
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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 ▲ |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3234 | 3234 | Zimbabwe | 2020-05-10 02:32:30 | -19.015438 | 29.154857 | 35 | 4 | 9 | 22 | Zimbabwe | |||
2960 | 2960 | 46137 | Ziebach | South Dakota | US | 2020-05-10 02:32:30 | 44.97881876 | -101.6654622 | 1 | 0 | 0 | 1 | Ziebach, South Dakota, US |
3051 | 3051 | Zhejiang | China | 2020-05-10 02:32:30 | 29.1832 | 120.0934 | 1268 | 1 | 1267 | 0 | Zhejiang, China | ||
2959 | 2959 | 48507 | Zavala | Texas | US | 2020-05-10 02:32:30 | 28.86617238 | -99.76050829 | 2 | 0 | 0 | 2 | Zavala, Texas, US |
2958 | 2958 | 48505 | Zapata | Texas | US | 2020-05-10 02:32:30 | 27.00156391 | -99.16987152 | 7 | 0 | 0 | 7 | Zapata, Texas, US |
3233 | 3233 | Zambia | 2020-05-10 02:32:30 | -13.133897 | 27.849332 | 252 | 7 | 112 | 133 | Zambia | |||
3050 | 3050 | Yunnan | China | 2020-05-10 02:32:30 | 24.974 | 101.48700000000001 | 185 | 2 | 183 | 0 | Yunnan, China | ||
2957 | 2957 | 8125 | Yuma | Colorado | US | 2020-05-10 02:32:30 | 40.00346839 | -102.4258673 | 10 | 0 | 0 | 10 | Yuma, Colorado, US |
2956 | 2956 | 4027 | Yuma | Arizona | US | 2020-05-10 02:32:30 | 32.76895712 | -113.90666740000002 | 176 | 3 | 0 | 173 | Yuma, Arizona, US |
2955 | 2955 | 2290 | Yukon-Koyukuk | Alaska | US | 2020-05-10 02:32:30 | 65.50815459 | -151.3907387 | 1 | 0 | 0 | 1 | Yukon-Koyukuk, Alaska, US |
3049 | 3049 | Yukon | Canada | 2020-05-10 02:32:30 | 64.2823 | -135.0 | 11 | 0 | 0 | 11 | Yukon, Canada | ||
2954 | 2954 | 6115 | Yuba | California | US | 2020-05-10 02:32:30 | 39.26255932 | -121.3535644 | 20 | 1 | 0 | 19 | Yuba, California, US |
2953 | 2953 | 48503 | Young | Texas | US | 2020-05-10 02:32:30 | 33.17659707 | -98.68790885 | 4 | 1 | 0 | 3 | Young, Texas, US |
2952 | 2952 | 51199 | York | Virginia | US | 2020-05-10 02:32:30 | 37.24374789 | -76.54412815 | 55 | 2 | 0 | 53 | York, Virginia, US |
2951 | 2951 | 45091 | York | South Carolina | US | 2020-05-10 02:32:30 | 34.97281497 | -81.18085944 | 237 | 5 | 0 | 232 | York, South Carolina, US |
2950 | 2950 | 42133 | York | Pennsylvania | US | 2020-05-10 02:32:30 | 39.9210089 | -76.73040131 | 767 | 13 | 0 | 754 | York, Pennsylvania, US |
2949 | 2949 | 31185 | York | Nebraska | US | 2020-05-10 02:32:30 | 40.87272618 | -97.59710186 | 17 | 0 | 0 | 17 | York, Nebraska, US |
2948 | 2948 | 23031 | York | Maine | US | 2020-05-10 02:32:30 | 43.47808377 | -70.71052375 | 256 | 8 | 0 | 248 | York, Maine, US |
2947 | 2947 | 6113 | Yolo | California | US | 2020-05-10 02:32:30 | 38.68278902 | -121.9018288 | 172 | 20 | 0 | 152 | Yolo, California, US |
2946 | 2946 | 48501 | Yoakum | Texas | US | 2020-05-10 02:32:30 | 33.17320212 | -102.8276433 | 2 | 0 | 0 | 2 | Yoakum, Texas, US |
3232 | 3232 | Yemen | 2020-05-10 02:32:30 | 15.552727 | 48.516388 | 34 | 7 | 1 | 26 | Yemen | |||
2945 | 2945 | 30111 | Yellowstone | Montana | US | 2020-05-10 02:32:30 | 45.93955949 | -108.2691486 | 82 | 2 | 0 | 80 | Yellowstone, Montana, US |
2944 | 2944 | 27173 | Yellow Medicine | Minnesota | US | 2020-05-10 02:32:30 | 44.71710183 | -95.86842453 | 3 | 0 | 0 | 3 | Yellow Medicine, Minnesota, US |
2943 | 2943 | 5149 | Yell | Arkansas | US | 2020-05-10 02:32:30 | 35.00292371 | -93.41171338 | 7 | 1 | 0 | 6 | Yell, Arkansas, US |
2942 | 2942 | 28163 | Yazoo | Mississippi | US | 2020-05-10 02:32:30 | 32.77890365 | -90.39656148 | 162 | 2 | 0 | 160 | Yazoo, Mississippi, US |
2941 | 2941 | 4025 | Yavapai | Arizona | US | 2020-05-10 02:32:30 | 34.59933926 | -112.5538588 | 175 | 4 | 0 | 171 | Yavapai, Arizona, US |
2940 | 2940 | 36123 | Yates | New York | US | 2020-05-10 02:32:30 | 42.63505484 | -77.10369919 | 20 | 1 | 0 | 19 | Yates, New York, US |
2939 | 2939 | 46135 | Yankton | South Dakota | US | 2020-05-10 02:32:30 | 43.00924485 | -97.39467635 | 29 | 0 | 0 | 29 | Yankton, South Dakota, US |
2938 | 2938 | 37199 | Yancey | North Carolina | US | 2020-05-10 02:32:30 | 35.90079156 | -82.31237181 | 8 | 0 | 0 | 8 | Yancey, North Carolina, US |
2937 | 2937 | 41071 | Yamhill | Oregon | US | 2020-05-10 02:32:30 | 45.23330449 | -123.3086963 | 47 | 7 | 0 | 40 | Yamhill, Oregon, US |
2936 | 2936 | 28161 | Yalobusha | Mississippi | US | 2020-05-10 02:32:30 | 34.02824175 | -89.70762049999998 | 30 | 0 | 0 | 30 | Yalobusha, Mississippi, US |
2935 | 2935 | 53077 | Yakima | Washington | US | 2020-05-10 02:32:30 | 46.45738486 | -120.7380126 | 1686 | 64 | 0 | 1627 | Yakima, Washington, US |
2934 | 2934 | 37197 | Yadkin | North Carolina | US | 2020-05-10 02:32:30 | 36.16222629 | -80.66239436 | 49 | 1 | 0 | 48 | Yadkin, North Carolina, US |
3048 | 3048 | Xinjiang | China | 2020-05-10 02:32:30 | 41.1129 | 85.2401 | 76 | 3 | 73 | 0 | Xinjiang, China | ||
2933 | 2933 | 51197 | Wythe | Virginia | US | 2020-05-10 02:32:30 | 36.91582035 | -81.07834059 | 13 | 1 | 0 | 12 | Wythe, Virginia, US |
2932 | 2932 | 54109 | Wyoming | West Virginia | US | 2020-05-10 02:32:30 | 37.612327 | -81.54511071 | 1 | 0 | 0 | 1 | Wyoming, West Virginia, US |
2931 | 2931 | 42131 | Wyoming | Pennsylvania | US | 2020-05-10 02:32:30 | 41.51955538 | -76.01074915 | 30 | 2 | 0 | 28 | Wyoming, Pennsylvania, US |
2930 | 2930 | 36121 | Wyoming | New York | US | 2020-05-10 02:32:30 | 42.70145109 | -78.22199579 | 75 | 5 | 0 | 70 | Wyoming, New York, US |
2929 | 2929 | 20209 | Wyandotte | Kansas | US | 2020-05-10 02:32:30 | 39.11727348 | -94.76378225 | 1045 | 64 | 0 | 981 | Wyandotte, Kansas, US |
2928 | 2928 | 39175 | Wyandot | Ohio | US | 2020-05-10 02:32:30 | 40.84339621 | -83.30734173 | 27 | 2 | 0 | 25 | Wyandot, Ohio, US |
2927 | 2927 | 29229 | Wright | Missouri | US | 2020-05-10 02:32:30 | 37.27029221 | -92.46914488 | 10 | 0 | 0 | 10 | Wright, Missouri, US |
2926 | 2926 | 27171 | Wright | Minnesota | US | 2020-05-10 02:32:30 | 45.17297924 | -93.96234781 | 92 | 1 | 0 | 91 | Wright, Minnesota, US |
2925 | 2925 | 19197 | Wright | Iowa | US | 2020-05-10 02:32:30 | 42.73305373 | -93.73515113 | 6 | 0 | 0 | 6 | Wright, Iowa, US |
2924 | 2924 | 29227 | Worth | Missouri | US | 2020-05-10 02:32:30 | 40.47945588 | -94.42328751 | 1 | 0 | 0 | 1 | Worth, Missouri, US |
2923 | 2923 | 19195 | Worth | Iowa | US | 2020-05-10 02:32:30 | 43.37750768 | -93.26087602 | 1 | 0 | 0 | 1 | Worth, Iowa, US |
2922 | 2922 | 13321 | Worth | Georgia | US | 2020-05-10 02:32:30 | 31.55162306 | -83.85090513 | 182 | 13 | 0 | 169 | Worth, Georgia, US |
2921 | 2921 | 25027 | Worcester | Massachusetts | US | 2020-05-10 02:32:30 | 42.35026951 | -71.90493363 | 7611 | 420 | 0 | 7191 | Worcester, Massachusetts, US |
2920 | 2920 | 24047 | Worcester | Maryland | US | 2020-05-10 02:32:30 | 38.21274277 | -75.33200012 | 102 | 4 | 0 | 98 | Worcester, Maryland, US |
2919 | 2919 | 40153 | Woodward | Oklahoma | US | 2020-05-10 02:32:30 | 36.42316318 | -99.26283045 | 1 | 0 | 0 | 1 | Woodward, Oklahoma, US |
2918 | 2918 | 20207 | Woodson | Kansas | US | 2020-05-10 02:32:30 | 37.8865336 | -95.74006277 | 6 | 0 | 0 | 6 | Woodson, Kansas, US |
2917 | 2917 | 40151 | Woods | Oklahoma | US | 2020-05-10 02:32:30 | 36.76705782 | -98.86573064 | 3 | 0 | 0 | 3 | Woods, Oklahoma, US |
2916 | 2916 | 5147 | Woodruff | Arkansas | US | 2020-05-10 02:32:30 | 35.18902527 | -91.2439489 | 1 | 0 | 0 | 1 | Woodruff, Arkansas, US |
2915 | 2915 | 21239 | Woodford | Kentucky | US | 2020-05-10 02:32:30 | 38.04178222 | -84.7417556 | 17 | 0 | 0 | 17 | Woodford, Kentucky, US |
2914 | 2914 | 17203 | Woodford | Illinois | US | 2020-05-10 02:32:30 | 40.78579374 | -89.20973757 | 15 | 1 | 0 | 14 | Woodford, Illinois, US |
2913 | 2913 | 19193 | Woodbury | Iowa | US | 2020-05-10 02:32:30 | 42.38979414 | -96.0459439 | 1554 | 7 | 0 | 1547 | Woodbury, Iowa, US |
2912 | 2912 | 55141 | Wood | Wisconsin | US | 2020-05-10 02:32:30 | 44.45537896 | -90.04158336 | 2 | 0 | 0 | 2 | Wood, Wisconsin, US |
2911 | 2911 | 54107 | Wood | West Virginia | US | 2020-05-10 02:32:30 | 39.20967886 | -81.5162836 | 43 | 2 | 0 | 41 | Wood, West Virginia, US |
2910 | 2910 | 48499 | Wood | Texas | US | 2020-05-10 02:32:30 | 32.78722382 | -95.38236368 | 13 | 0 | 0 | 13 | Wood, Texas, US |
2909 | 2909 | 39173 | Wood | Ohio | US | 2020-05-10 02:32:30 | 41.36224827 | -83.62285108 | 222 | 37 | 0 | 193 | Wood, Ohio, US |
2908 | 2908 | 51195 | Wise | Virginia | US | 2020-05-10 02:32:30 | 36.9746148 | -82.62410519 | 22 | 1 | 0 | 21 | Wise, Virginia, US |
2907 | 2907 | 48497 | Wise | Texas | US | 2020-05-10 02:32:30 | 33.21570665 | -97.65460265 | 30 | 2 | 0 | 28 | Wise, Texas, US |
2906 | 2906 | 54105 | Wirt | West Virginia | US | 2020-05-10 02:32:30 | 39.02775007 | -81.37473928 | 3 | 0 | 0 | 3 | Wirt, West Virginia, US |
2905 | 2905 | 28159 | Winston | Mississippi | US | 2020-05-10 02:32:30 | 33.08747908 | -89.03391385 | 61 | 0 | 0 | 61 | Winston, Mississippi, US |
2904 | 2904 | 1133 | Winston | Alabama | US | 2020-05-10 02:32:30 | 34.15030532 | -87.37325922 | 18 | 0 | 0 | 20 | Winston, Alabama, US |
2903 | 2903 | 27169 | Winona | Minnesota | US | 2020-05-10 02:32:30 | 43.98772283 | -91.78081305 | 70 | 15 | 0 | 55 | Winona, Minnesota, US |
2902 | 2902 | 19191 | Winneshiek | Iowa | US | 2020-05-10 02:32:30 | 43.29094334 | -91.84422722 | 18 | 0 | 0 | 18 | Winneshiek, Iowa, US |
2901 | 2901 | 55139 | Winnebago | Wisconsin | US | 2020-05-10 02:32:30 | 44.06886922 | -88.64477096 | 98 | 1 | 0 | 97 | Winnebago, Wisconsin, US |
2900 | 2900 | 19189 | Winnebago | Iowa | US | 2020-05-10 02:32:30 | 43.37751174 | -93.73407298 | 3 | 0 | 0 | 3 | Winnebago, Iowa, US |
2899 | 2899 | 17201 | Winnebago | Illinois | US | 2020-05-10 02:32:30 | 42.33641854 | -89.16085327 | 877 | 24 | 0 | 853 | Winnebago, Illinois, US |
2898 | 2898 | 22127 | Winn | Louisiana | US | 2020-05-10 02:32:30 | 31.94449367 | -92.63789413 | 51 | 2 | 0 | 49 | Winn, Louisiana, US |
2897 | 2897 | 48495 | Winkler | Texas | US | 2020-05-10 02:32:30 | 31.85008651 | -103.0485163 | 3 | 0 | 0 | 3 | Winkler, Texas, US |
2896 | 2896 | 50027 | Windsor | Vermont | US | 2020-05-10 02:32:30 | 43.58010937 | -72.58595157 | 46 | 2 | 0 | 44 | Windsor, Vermont, US |
2895 | 2895 | 50025 | Windham | Vermont | US | 2020-05-10 02:32:30 | 42.986982 | -72.71268875 | 74 | 3 | 0 | 71 | Windham, Vermont, US |
2894 | 2894 | 9015 | Windham | Connecticut | US | 2020-05-10 02:32:30 | 41.82972709 | -71.98182316 | 266 | 6 | 0 | 260 | Windham, Connecticut, US |
2893 | 2893 | 51840 | Winchester | Virginia | US | 2020-05-10 02:32:30 | 39.17054517 | -78.17325058 | 64 | 0 | 0 | 64 | Winchester, Virginia, US |
2892 | 2892 | 48493 | Wilson | Texas | US | 2020-05-10 02:32:30 | 29.1732598 | -98.08693082 | 34 | 4 | 0 | 30 | Wilson, Texas, US |
2891 | 2891 | 47189 | Wilson | Tennessee | US | 2020-05-10 02:32:30 | 36.15496772 | -86.29775884 | 297 | 6 | 0 | 291 | Wilson, Tennessee, US |
2890 | 2890 | 37195 | Wilson | North Carolina | US | 2020-05-10 02:32:30 | 35.70625477 | -77.917978 | 203 | 8 | 0 | 195 | Wilson, North Carolina, US |
2889 | 2889 | 20205 | Wilson | Kansas | US | 2020-05-10 02:32:30 | 37.55937174 | -95.74323255 | 1 | 0 | 0 | 1 | Wilson, Kansas, US |
2888 | 2888 | 48491 | Williamson | Texas | US | 2020-05-10 02:32:30 | 30.64655664 | -97.6004854 | 368 | 13 | 0 | 355 | Williamson, Texas, US |
2887 | 2887 | 47187 | Williamson | Tennessee | US | 2020-05-10 02:32:30 | 35.89099229 | -86.89281867 | 441 | 10 | 0 | 431 | Williamson, Tennessee, US |
2886 | 2886 | 17199 | Williamson | Illinois | US | 2020-05-10 02:32:30 | 37.73033511 | -88.92994027 | 44 | 1 | 0 | 43 | Williamson, Illinois, US |
2885 | 2885 | 51830 | Williamsburg | Virginia | US | 2020-05-10 02:32:30 | 37.28131268 | -76.70905141 | 31 | 2 | 0 | 29 | Williamsburg, Virginia, US |
2884 | 2884 | 45089 | Williamsburg | South Carolina | US | 2020-05-10 02:32:30 | 33.62190129 | -79.72767442 | 136 | 7 | 0 | 129 | Williamsburg, South Carolina, US |
2883 | 2883 | 39171 | Williams | Ohio | US | 2020-05-10 02:32:30 | 41.56052014 | -84.58429552 | 44 | 1 | 0 | 43 | Williams, Ohio, US |
2882 | 2882 | 38105 | Williams | North Dakota | US | 2020-05-10 02:32:30 | 48.34522353 | -103.4793387 | 18 | 0 | 0 | 18 | Williams, North Dakota, US |
2881 | 2881 | 48489 | Willacy | Texas | US | 2020-05-10 02:32:30 | 26.47411727 | -97.61535848 | 14 | 1 | 0 | 13 | Willacy, Texas, US |
2880 | 2880 | 17197 | Will | Illinois | US | 2020-05-10 02:32:30 | 41.44619267 | -87.97862712 | 3636 | 202 | 0 | 3434 | Will, Illinois, US |
2879 | 2879 | 28157 | Wilkinson | Mississippi | US | 2020-05-10 02:32:30 | 31.16078225 | -91.31018819 | 75 | 9 | 0 | 66 | Wilkinson, Mississippi, US |
2878 | 2878 | 13319 | Wilkinson | Georgia | US | 2020-05-10 02:32:30 | 32.80291082 | -83.17140684 | 39 | 2 | 0 | 37 | Wilkinson, Georgia, US |
2877 | 2877 | 27167 | Wilkin | Minnesota | US | 2020-05-10 02:32:30 | 46.35721532 | -96.4684375 | 11 | 3 | 0 | 8 | Wilkin, Minnesota, US |
2876 | 2876 | 37193 | Wilkes | North Carolina | US | 2020-05-10 02:32:30 | 36.2084135 | -81.16232895 | 202 | 1 | 0 | 201 | Wilkes, North Carolina, US |
2875 | 2875 | 13317 | Wilkes | Georgia | US | 2020-05-10 02:32:30 | 33.78290391 | -82.74286107 | 27 | 0 | 0 | 27 | Wilkes, Georgia, US |
2874 | 2874 | 13315 | Wilcox | Georgia | US | 2020-05-10 02:32:30 | 31.97496928 | -83.43438555 | 95 | 12 | 0 | 83 | Wilcox, Georgia, US |
2873 | 2873 | 1131 | Wilcox | Alabama | US | 2020-05-10 02:32:30 | 31.98773215 | -87.30891118 | 78 | 4 | 0 | 76 | Wilcox, Alabama, US |
2872 | 2872 | 48487 | Wilbarger | Texas | US | 2020-05-10 02:32:30 | 34.07945812 | -99.24178437 | 2 | 0 | 0 | 2 | Wilbarger, Texas, US |
2871 | 2871 | 24045 | Wicomico | Maryland | US | 2020-05-10 02:32:30 | 38.37301947 | -75.62705831 | 558 | 15 | 0 | 543 | Wicomico, Maryland, US |
2870 | 2870 | 48485 | Wichita | Texas | US | 2020-05-10 02:32:30 | 33.98842886 | -98.7041034 | 74 | 2 | 0 | 72 | Wichita, Texas, US |
2869 | 2869 | 53075 | Whitman | Washington | US | 2020-05-10 02:32:30 | 46.90022523 | -117.5241763 | 15 | 0 | 0 | 15 | Whitman, Washington, US |
2868 | 2868 | 21235 | Whitley | Kentucky | US | 2020-05-10 02:32:30 | 36.75700531 | -84.14541217 | 11 | 0 | 0 | 11 | Whitley, Kentucky, US |
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CREATE TABLE [05-09-2020] ( [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 );