02-11-2020

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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

73 rows

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Suggested facets: Country/Region, Deaths, Last Update (date)

Link rowid ▼ Province/State Country/Region Last Update Confirmed Deaths Recovered
1 1 Hubei Mainland China 2020-02-11T23:33:02 33366 1068 2639
2 2 Guangdong Mainland China 2020-02-11T14:03:05 1177 1 212
3 3 Zhejiang Mainland China 2020-02-11T12:53:02 1117 0 270
4 4 Henan Mainland China 2020-02-11T14:03:05 1105 7 218
5 5 Hunan Mainland China 2020-02-11T12:53:02 912 1 247
6 6 Anhui Mainland China 2020-02-11T09:43:02 860 4 105
7 7 Jiangxi Mainland China 2020-02-11T14:03:05 804 1 128
8 8 Jiangsu Mainland China 2020-02-11T08:13:06 515 0 93
9 9 Chongqing Mainland China 2020-02-11T23:53:02 505 3 79
10 10 Shandong Mainland China 2020-02-11T11:23:04 487 1 80
11 11 Sichuan Mainland China 2020-02-11T11:23:04 417 1 85
12 12 Heilongjiang Mainland China 2020-02-11T11:23:04 360 8 28
13 13 Beijing Mainland China 2020-02-11T03:03:07 342 3 48
14 14 Shanghai Mainland China 2020-02-11T06:23:02 303 1 52
15 15 Fujian Mainland China 2020-02-11T14:03:05 267 0 45
16 16 Hebei Mainland China 2020-02-11T11:23:04 239 2 48
17 17 Shaanxi Mainland China 2020-02-11T06:03:16 219 0 32
18 18 Guangxi Mainland China 2020-02-11T11:23:04 215 1 33
19 19 Yunnan Mainland China 2020-02-11T09:23:04 153 0 20
20 20 Hainan Mainland China 2020-02-11T14:33:02 144 3 20
21 21 Diamond Princess cruise ship Others 2020-02-10T16:03:12 135 0 0
22 22 Guizhou Mainland China 2020-02-11T14:03:05 127 1 17
23 23 Shanxi Mainland China 2020-02-11T23:33:02 124 0 30
24 24 Liaoning Mainland China 2020-02-11T12:53:02 111 0 19
25 25 Tianjin Mainland China 2020-02-11T23:13:05 106 2 10
26 26 Gansu Mainland China 2020-02-11T15:23:04 86 2 24
27 27 Jilin Mainland China 2020-02-11T08:03:06 81 1 18
28 28 Inner Mongolia Mainland China 2020-02-10T02:43:05 58 0 5
29 29 Xinjiang Mainland China 2020-02-11T09:13:11 55 0 3
30 30 Ningxia Mainland China 2020-02-11T10:03:08 53 0 22
31 31 Hong Kong Hong Kong 2020-02-11T09:43:02 49 1 0
32 32   Singapore 2020-02-11T16:43:06 47 0 9
33 33   Thailand 2020-02-11T18:43:04 33 0 11
34 34   South Korea 2020-02-11T02:53:02 28 0 3
35 35   Japan 2020-02-11T02:53:02 26 0 9
36 36 Qinghai Mainland China 2020-02-11T11:23:04 18 0 5
37 37   Malaysia 2020-02-11T03:13:13 18 0 3
38 38 Taiwan Taiwan 2020-02-09T09:13:11 18 0 1
39 39   Germany 2020-02-11T19:33:03 16 0 0
40 40   Vietnam 2020-02-11T16:43:06 15 0 6
41 41   France 2020-02-08T09:53:01 11 0 0
42 42 Macau Macau 2020-02-06T14:23:04 10 0 1
43 43   UK 2020-02-10T19:03:02 8 0 0
44 44   United Arab Emirates 2020-02-10T23:03:09 8 0 0
45 45 Queensland Australia 2020-02-09T19:33:02 5 0 0
46 46 New South Wales Australia 2020-02-06T03:13:22 4 0 2
47 47 Victoria Australia 2020-02-01T18:12:49 4 0 0
48 48 British Columbia Canada 2020-02-07T05:43:03 4 0 0
49 49   India 2020-02-03T21:43:02 3 0 0
50 50   Italy 2020-02-07T17:53:02 3 0 0
51 51   Philippines 2020-02-07T16:43:04 3 1 0
52 52 South Australia Australia 2020-02-02T22:33:07 2 0 0
53 53 Toronto, ON Canada 2020-02-04T00:13:06 2 0 0
54 54   Russia 2020-01-31T16:13:45 2 0 0
55 55   Spain 2020-02-09T20:33:03 2 0 0
56 56 Chicago, IL US 2020-02-09T19:03:03 2 0 2
57 57 San Benito, CA US 2020-02-03T03:53:02 2 0 0
58 58 Santa Clara, CA US 2020-02-03T00:43:02 2 0 0
59 59   Belgium 2020-02-04T15:43:02 1 0 0
60 60   Cambodia 2020-01-31T08:15:53 1 0 0
61 61 London, ON Canada 2020-02-04T00:03:11 1 0 0
62 62   Finland 2020-01-31T08:15:53 1 0 0
63 63 Tibet Mainland China 2020-02-01T01:52:40 1 0 0
64 64   Nepal 2020-01-31T08:15:53 1 0 0
65 65   Sri Lanka 2020-02-08T03:43:03 1 0 1
66 66   Sweden 2020-02-01T02:13:26 1 0 0
67 67 Boston, MA US 2020-02-01T19:43:03 1 0 0
68 68 Los Angeles, CA US 2020-02-01T19:53:03 1 0 0
69 69 Madison, WI US 2020-02-05T21:53:02 1 0 0
70 70 Orange, CA US 2020-02-01T19:53:03 1 0 0
71 71 San Diego County, CA US 2020-02-11T01:23:05 1 0 0
72 72 Seattle, WA US 2020-02-09T07:03:04 1 0 1
73 73 Tempe, AZ US 2020-02-01T19:43:03 1 0 0

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CREATE TABLE [02-11-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER
);