03-04-2020

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

160 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 Mainland China 2020-03-04T12:53:03 67332 2871 38557 30.9756 112.2707
2 2   South Korea 2020-03-04T19:23:03 5621 35 41 36.0 128.0
3 3   Italy 2020-03-04T19:23:03 3089 107 276 43.0 12.0
4 4   Iran 2020-03-04T12:33:03 2922 92 552 32.0 53.0
5 5 Guangdong Mainland China 2020-03-04T10:03:19 1350 7 1133 23.3417 113.4244
6 6 Henan Mainland China 2020-03-04T00:33:05 1272 22 1234 33.882 113.614
7 7 Zhejiang Mainland China 2020-03-04T10:03:19 1213 1 1114 29.1832 120.0934
8 8 Hunan Mainland China 2020-03-04T15:43:02 1018 4 916 27.6104 111.7088
9 9 Anhui Mainland China 2020-03-04T10:03:19 990 6 956 31.8257 117.2264
10 10 Jiangxi Mainland China 2020-03-04T01:33:07 935 1 884 27.614 115.7221
11 11 Shandong Mainland China 2020-03-04T12:53:03 758 6 516 36.3427 118.1498
12 12 Diamond Princess cruise ship Others 2020-03-03T03:13:06 706 6 10 35.4437 139.638
13 13 Jiangsu Mainland China 2020-03-04T12:53:03 631 0 577 32.9711 119.455
14 14 Chongqing Mainland China 2020-03-04T23:23:01 576 6 502 30.0572 107.874
15 15 Sichuan Mainland China 2020-03-04T12:53:03 538 3 406 30.6171 102.7103
16 16 Heilongjiang Mainland China 2020-03-04T12:53:03 480 13 373 47.862 127.7615
17 17 Beijing Mainland China 2020-03-04T23:23:01 418 8 297 40.1824 116.4142
18 18 Shanghai Mainland China 2020-03-04T04:13:08 338 3 298 31.202 121.4491
19 19   Japan 2020-03-04T19:23:03 331 6 43 36.0 138.0
20 20 Hebei Mainland China 2020-03-04T10:03:19 318 6 301 38.0428 114.5149
21 21 Fujian Mainland China 2020-03-04T12:53:03 296 1 270 26.0789 117.9874
22 22   France 2020-03-04T20:43:02 285 4 12 47.0 2.0
23 23   Germany 2020-03-04T19:33:03 262 0 16 51.0 9.0
24 24 Guangxi Mainland China 2020-03-04T00:13:08 252 2 210 23.8298 108.7881
25 25 Shaanxi Mainland China 2020-03-04T15:43:03 245 1 223 35.1917 108.8701
26 26   Spain 2020-03-04T20:43:02 222 2 2 40.0 -4.0
27 27 Yunnan Mainland China 2020-03-03T03:43:02 174 2 169 24.974 101.487
28 28 Hainan Mainland China 2020-03-04T10:03:19 168 5 158 19.1959 109.7453
29 29 Guizhou Mainland China 2020-03-02T01:13:06 146 2 114 26.8154 106.8748
30 30 Tianjin Mainland China 2020-03-03T11:43:02 136 3 124 39.3054 117.323
31 31 Shanxi Mainland China 2020-03-03T23:13:05 133 0 124 37.5777 112.2922
32 32 Liaoning Mainland China 2020-03-03T14:33:03 125 1 106 41.2956 122.6085
33 33   Singapore 2020-03-03T15:23:03 110 0 78 1.2833 103.8333
34 34 Hong Kong Hong Kong 2020-03-04T23:23:01 105 2 37 22.3 114.2
35 35 Jilin Mainland China 2020-03-04T10:03:19 93 1 86 43.6661 126.1923
36 36 Gansu Mainland China 2020-03-04T15:43:03 91 2 87 36.0611 103.8343
37 37   Switzerland 2020-03-04T19:33:03 90 0 3 46.8182 8.2275
38 38   UK 2020-03-04T19:33:03 85 0 8 55.0 -3.0
39 39 Xinjiang Mainland China 2020-03-04T15:43:03 76 3 69 41.1129 85.2401
40 40 Inner Mongolia Mainland China 2020-03-04T15:43:03 75 1 63 44.0935 113.9448
41 41 Ningxia Mainland China 2020-03-04T01:33:07 75 0 69 37.2692 106.1655
42 42   Kuwait 2020-03-02T20:33:02 56 0 0 29.5 47.75
43 43   Norway 2020-03-04T19:33:03 56 0 0 60.472 8.4689
44 44   Bahrain 2020-03-04T19:33:03 52 0 0 26.0275 50.55
45 45   Malaysia 2020-03-04T13:03:08 50 0 22 2.5 112.5
46 46 Unassigned Location (From Diamond Princess) US 2020-03-02T19:53:03 45 0 0 35.4437 139.638
47 47   Thailand 2020-03-02T06:23:04 43 1 31 15.0 101.0
48 48 Taiwan Taiwan 2020-03-03T06:43:02 42 1 12 23.7 121.0
49 49   Netherlands 2020-03-04T12:33:03 38 0 0 52.1326 5.2913
50 50   Iraq 2020-03-04T20:43:02 35 2 0 33.0 44.0
51 51   Sweden 2020-03-04T12:33:03 35 0 0 63.0 16.0
52 52 King County, WA US 2020-03-04T19:53:02 31 9 1 47.548 -121.9836
53 53   Austria 2020-03-04T19:33:03 29 0 0 47.5162 14.5501
54 54   India 2020-03-04T12:33:03 28 0 3 21.0 78.0
55 55   United Arab Emirates 2020-03-03T23:43:02 27 0 5 24.0 54.0
56 56   Iceland 2020-03-04T19:33:03 26 0 0 64.9631 -19.0208
57 57   Belgium 2020-03-04T12:33:03 23 0 1 50.8333 4.0
58 58 New South Wales Australia 2020-03-04T20:43:03 22 1 4 -33.8688 151.2093
59 59 Toronto, ON Canada 2020-03-03T20:03:08 19 0 2 43.6532 -79.3832
60 60 Qinghai Mainland China 2020-02-21T04:43:02 18 0 18 35.7452 95.9956
61 61   San Marino 2020-03-04T19:33:03 16 1 0 43.9424 12.4578
62 62   Vietnam 2020-02-25T08:53:02 16 0 16 16.0 108.0
63 63   Israel 2020-03-04T12:43:03 15 0 0 31.0 35.0
64 64   Oman 2020-03-04T19:33:03 15 0 2 21.0 57.0
65 65   Lebanon 2020-03-04T16:53:02 13 0 1 33.8547 35.8623
66 66   Algeria 2020-03-04T19:33:03 12 0 0 28.0339 1.6596
67 67 British Columbia Canada 2020-03-04T04:23:05 12 0 3 49.2827 -123.1207
68 68 Queensland Australia 2020-03-03T15:23:03 11 0 1 -28.0167 153.4
69 69 Santa Clara, CA US 2020-03-03T23:33:03 11 0 1 37.3541 -121.9552
70 70 Victoria Australia 2020-03-04T12:43:03 10 0 4 -37.8136 144.9631
71 71   Croatia 2020-03-04T16:53:02 10 0 0 45.1667 15.5
72 72   Denmark 2020-03-04T00:03:15 10 0 0 56.2639 9.5018
73 73   Ecuador 2020-03-04T19:33:03 10 0 0 -1.8312 -78.1834
74 74 Macau Macau 2020-03-03T12:33:02 10 0 9 22.1667 113.55
75 75 Westchester County, NY US 2020-03-04T21:23:10 10 0 0 41.122 -73.7949
76 76   Greece 2020-03-04T19:33:03 9 0 0 39.0742 21.8243
77 77   Czech Republic 2020-03-04T19:33:03 8 0 0 49.8175 15.473
78 78   Qatar 2020-03-04T00:03:15 8 0 0 25.3548 51.1839
79 79 Snohomish County, WA US 2020-03-04T19:53:02 8 1 0 48.033 -121.8339
80 80 Los Angeles, CA US 2020-03-04T18:13:18 7 0 0 34.0522 -118.2437
81 81   Belarus 2020-03-04T12:43:03 6 0 0 53.7098 27.9534
82 82   Finland 2020-03-01T23:23:02 6 0 1 64.0 26.0
83 83   Ireland 2020-03-04T21:13:07 6 0 0 53.1424 -7.6921
84 84 South Australia Australia 2020-03-04T21:03:07 5 0 2 -34.9285 138.6007
85 85   Mexico 2020-03-03T10:03:04 5 0 1 23.0 -102.0
86 86   Pakistan 2020-03-03T04:33:03 5 0 0 30.3753 69.3451
87 87   Portugal 2020-03-04T12:43:03 5 0 0 39.3999 -8.2245
88 88   Brazil 2020-03-04T20:33:02 4 0 0 -14.235 -51.9253
89 89   Romania 2020-03-04T00:53:02 4 0 1 46.0 25.0
90 90   Senegal 2020-03-04T20:43:02 4 0 0 14.4974 -14.4524
91 91 Cook County, IL US 2020-03-02T20:33:02 4 0 2 41.7377 -87.6976
92 92   Azerbaijan 2020-03-01T02:43:03 3 0 0 40.1431 47.5769
93 93   Georgia 2020-03-01T15:43:03 3 0 0 42.3154 43.3569
94 94   New Zealand 2020-03-04T20:13:11 3 0 0 -40.9006 174.886
95 95   Philippines 2020-02-12T07:43:02 3 1 1 13.0 122.0
96 96   Russia 2020-03-02T21:23:04 3 0 2 60.0 90.0
97 97   Saint Barthelemy 2020-03-04T02:43:03 3 0 0 17.9 -62.8333
98 98 Orange County, CA US 2020-03-04T02:13:11 3 0 0 33.7879 -117.8531
99 99 Western Australia Australia 2020-03-01T02:43:03 2 1 0 -31.9505 115.8605
100 100   Egypt 2020-03-01T23:33:03 2 0 1 26.0 30.0

Next page

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE [03-04-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER,
   [Latitude] FLOAT,
   [Longitude] FLOAT
);