03-11-2020

Table actions
Big Local News snapshots this data once a day from The Johns Hopkins University Center for Systems Science and Engineering. These are daily reports which provide cases, deaths and recovered for all global locations as wells as United States counties. There is one CSV file for each day's report. The entire set of CSV files are refreshed daily. The zipped archives contain previous daily reports and are date stamped when they were uplaoded by Big Local News. Please cite Johns Hopkins University as described in the README.

Data source: Big Local News · About: README

216 rows

✎ View and edit SQL

This data as json, copyable, CSV (advanced)

Suggested facets: Deaths, Last Update (date)

Link rowid ▼ Province/State Country/Region Last Update Confirmed Deaths Recovered Latitude Longitude
1 1 Hubei China 2020-03-11T10:53:02 67773 3046 49134 30.9756 112.2707
2 2   Italy 2020-03-11T21:33:02 12462 827 1045 43.0 12.0
3 3   Iran 2020-03-11T18:52:03 9000 354 2959 32.0 53.0
4 4   Korea, South 2020-03-11T21:13:18 7755 60 288 36.0 128.0
5 5 France France 2020-03-11T22:53:03 2281 48 12 46.2276 2.2137
6 6   Spain 2020-03-11T20:53:02 2277 54 183 40.0 -4.0
7 7   Germany 2020-03-11T19:13:17 1908 3 25 51.0 9.0
8 8 Guangdong China 2020-03-11T10:13:06 1356 8 1282 23.3417 113.4244
9 9 Henan China 2020-03-11T08:13:09 1273 22 1249 33.882 113.614
10 10 Zhejiang China 2020-03-11T09:33:12 1215 1 1195 29.1832 120.0934
11 11 Hunan China 2020-03-11T02:18:14 1018 4 995 27.6104 111.7088
12 12 Anhui China 2020-03-11T02:18:14 990 6 984 31.8257 117.2264
13 13 Jiangxi China 2020-03-11T02:18:14 935 1 932 27.614 115.7221
14 14 Shandong China 2020-03-11T11:33:07 760 6 726 36.3427 118.1498
15 15 Diamond Princess Cruise Ship 2020-03-11T22:13:12 696 7 325 35.4437 139.638
16 16   Switzerland 2020-03-11T20:53:02 652 4 4 46.8182 8.2275
17 17   Japan 2020-03-11T21:33:03 639 15 118 36.0 138.0
18 18 Jiangsu China 2020-03-11T02:18:14 631 0 627 32.9711 119.455
19 19   Norway 2020-03-11T19:33:02 598 0 1 60.472 8.4689
20 20 Chongqing China 2020-03-11T23:13:05 576 6 554 30.0572 107.874
21 21 Sichuan China 2020-03-11T14:33:03 539 3 488 30.6171 102.7103
22 22   Netherlands 2020-03-11T14:13:11 503 5 0 52.1326 5.2913
23 23   Sweden 2020-03-11T19:33:02 500 1 1 63.0 16.0
24 24 Heilongjiang China 2020-03-11T11:33:07 482 13 436 47.862 127.7615
25 25 UK United Kingdom 2020-03-11T21:33:03 456 8 18 55.3781 -3.436
26 26 Denmark Denmark 2020-03-11T22:13:13 442 0 1 56.2639 9.5018
27 27 Beijing China 2020-03-11T02:18:14 435 8 326 40.1824 116.4142
28 28 Washington US 2020-03-11T22:33:03 366 29 1 47.4009 -121.4905
29 29 Shanghai China 2020-03-11T03:13:07 344 3 320 31.202 121.4491
30 30 Hebei China 2020-03-11T02:18:14 318 6 307 39.549 116.1306
31 31   Belgium 2020-03-11T18:52:03 314 3 1 50.8333 4.0
32 32 Fujian China 2020-03-11T02:18:14 296 1 295 26.0789 117.9874
33 33   Qatar 2020-03-11T18:52:03 262 0 0 25.3548 51.1839
34 34 Guangxi China 2020-03-11T11:33:07 252 2 238 23.8298 108.7881
35 35   Austria 2020-03-11T22:33:03 246 0 4 47.5162 14.5501
36 36 Shaanxi China 2020-03-11T09:33:12 245 1 232 35.1917 108.8701
37 37 New York US 2020-03-11T22:53:03 220 0 0 42.1657 -74.9481
38 38   Bahrain 2020-03-11T22:33:03 195 0 35 26.0275 50.55
39 39   Singapore 2020-03-11T13:53:24 178 0 96 1.2833 103.8333
40 40 California US 2020-03-11T23:53:03 177 3 2 36.1162 -119.6816
41 41 Yunnan China 2020-03-11T02:18:14 174 2 170 24.974 101.487
42 42 Hainan China 2020-03-11T02:18:14 168 6 159 19.1959 109.7453
43 43   Malaysia 2020-03-11T11:33:08 149 0 26 2.5 112.5
44 44 Guizhou China 2020-03-11T02:33:03 146 2 133 26.8154 106.8748
45 45 Tianjin China 2020-03-11T02:18:14 136 3 131 39.3054 117.323
46 46 Shanxi China 2020-03-11T02:18:14 133 0 131 37.5777 112.2922
47 47 Gansu China 2020-03-11T14:33:03 127 2 88 37.8099 101.0583
48 48 Hong Kong China 2020-03-11T18:52:03 126 3 65 22.3 114.2
49 49 Liaoning China 2020-03-11T02:18:14 125 1 111 41.2956 122.6085
50 50   Israel 2020-03-11T21:13:18 90 0 0 31.0 35.0
51 51   Greece 2020-03-11T23:53:02 99 1 0 39.0742 21.8243
52 52 Massachusetts US 2020-03-11T22:53:03 95 0 1 42.2302 -71.5301
53 53 Jilin China 2020-03-11T02:18:14 93 1 91 43.6661 126.1923
54 54   Czechia 2020-03-11T22:13:12 91 0 0 49.8175 15.473
55 55   Iceland 2020-03-11T13:53:24 85 0 1 64.9631 -19.0208
56 56 Xinjiang China 2020-03-11T02:18:14 76 3 73 41.1129 85.2401
57 57 Inner Mongolia China 2020-03-11T03:53:03 75 1 71 44.0935 113.9448
58 58 Ningxia China 2020-03-11T09:33:12 75 0 72 37.2692 106.1655
59 59   United Arab Emirates 2020-03-11T20:53:02 74 0 17 23.4241 53.8478
60 60   Kuwait 2020-03-11T09:53:03 72 0 2 29.5 47.75
61 61   Iraq 2020-03-11T22:13:12 71 7 15 33.0 44.0
62 62 New South Wales Australia 2020-03-11T18:52:04 65 2 4 -33.8688 151.2093
63 63   India 2020-03-11T22:13:12 62 1 4 21.0 78.0
64 64   San Marino 2020-03-11T20:53:02 62 2 0 43.9424 12.4578
65 65   Lebanon 2020-03-11T11:53:03 61 3 1 33.8547 35.8623
66 66   Egypt 2020-03-11T22:13:12 60 1 27 26.0 30.0
67 67   Finland 2020-03-11T13:33:10 59 0 1 64.0 26.0
68 68   Portugal 2020-03-11T13:33:11 59 0 0 39.3999 -8.2245
69 69   Thailand 2020-03-11T09:13:10 59 1 34 15.87 100.9925
70 70   Slovenia 2020-03-11T14:13:11 57 0 0 46.1512 14.9955
71 71   Philippines 2020-03-11T10:53:03 49 1 2 12.8797 121.774
72 72   Taiwan* 2020-03-11T20:13:14 48 1 17 23.7 121.0
73 73 Diamond Princess US 2020-03-10T02:33:04 46 0 0 35.4437 139.638
74 74   Romania 2020-03-11T21:13:18 45 0 6 46.0 25.0
75 75   Ireland 2020-03-11T21:33:03 43 1 0 53.1424 -7.6921
76 76 Ontario Canada 2020-03-11T18:52:04 41 0 4 51.2538 -85.3232
77 77 British Columbia Canada 2020-03-11T02:18:28 39 1 4 53.7267 -127.6476
78 78   Brazil 2020-03-11T22:13:12 38 0 0 -14.235 -51.9253
79 79   Vietnam 2020-03-11T20:53:02 38 0 16 16.0 108.0
80 80   Indonesia 2020-03-11T11:14:26 34 1 2 -0.7893 113.9213
81 81 Colorado US 2020-03-11T22:53:03 34 0 0 39.0598 -105.3111
82 82   Poland 2020-03-11T21:13:21 31 0 0 51.9194 19.1451
83 83 Florida US 2020-03-11T03:33:05 28 2 0 27.7663 -81.6868
84 84 Illinois US 2020-03-11T22:53:03 25 0 2 40.3495 -88.9861
85 85   Georgia 2020-03-11T22:13:12 24 0 0 42.3154 43.3569
86 86   Chile 2020-03-11T22:13:12 23 0 0 -35.6751 -71.543
87 87 Georgia US 2020-03-11T18:52:03 23 0 0 33.0406 -83.6431
88 88 New Jersey US 2020-03-11T18:52:04 23 1 0 40.2989 -74.521
89 89 Victoria Australia 2020-03-11T18:52:04 21 0 7 -37.8136 144.9631
90 90   Saudi Arabia 2020-03-11T13:33:11 21 0 1 24.0 45.0
91 91 Grand Princess US 2020-03-10T02:33:04 21 0 0 37.6489 -122.6655
92 92 Texas US 2020-03-11T22:53:03 21 0 0 31.0545 -97.5635
93 93   Algeria 2020-03-09T10:13:06 20 0 0 28.0339 1.6596
94 94 Queensland Australia 2020-03-11T18:52:04 20 0 8 -28.0167 153.4
95 95   Russia 2020-03-11T18:52:03 20 0 3 60.0 90.0
96 96   Argentina 2020-03-11T02:18:16 19 1 0 -38.4161 -63.6167
97 97 Alberta Canada 2020-03-11T23:13:07 19 0 0 53.9333 -116.5765
98 98   Croatia 2020-03-11T22:13:12 19 0 0 45.1667 15.5
99 99   Pakistan 2020-03-11T21:13:23 19 0 2 30.3753 69.3451
100 100 Oregon US 2020-03-11T22:53:03 19 0 0 44.572 -122.0709

Next page

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE [03-11-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER,
   [Latitude] FLOAT,
   [Longitude] FLOAT
);