02-25-2020

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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

94 rows sorted by Recovered

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Suggested facets: Deaths, Last Update (date)

Link rowid Province/State Country/Region Last Update Confirmed Deaths Recovered ▼
10 10 Diamond Princess cruise ship Others 2020-02-23T22:33:03 691 3 0
29 29   Iran 2020-02-25T14:53:03 95 16 0
38 38 Unassigned Location (From Diamond Princess) US 2020-02-25T21:23:03 36 0 0
40 40   Bahrain 2020-02-25T18:55:32 23 0 0
48 48   Kuwait 2020-02-25T23:43:03 11 0 0
50 50 From Diamond Princess Australia 2020-02-22T17:03:05 7 0 0
51 51 British Columbia Canada 2020-02-25T02:23:05 7 0 0
60 60 None Austria 2020-02-25T18:55:32 2 0 0
61 61   Oman 2020-02-25T01:13:09 2 0 0
64 64 San Benito, CA US 2020-02-03T03:53:02 2 0 0
67 67   Afghanistan 2020-02-24T23:33:02 1 0 0
68 68   Algeria 2020-02-25T23:43:03 1 0 0
72 72   Croatia 2020-02-25T18:55:32 1 0 0
73 73   Egypt 2020-02-21T18:53:02 1 0 0
75 75   Iraq 2020-02-24T23:33:02 1 0 0
76 76 From Diamond Princess Israel 2020-02-22T20:53:02 1 0 0
77 77   Lebanon 2020-02-22T20:53:02 1 0 0
81 81   Sweden 2020-02-01T02:13:26 1 0 0
82 82   Switzerland 2020-02-25T19:13:21 1 0 0
83 83 Boston, MA US 2020-02-01T19:43:03 1 0 0
84 84 Humboldt County, CA US 2020-02-21T05:13:09 1 0 0
85 85 Los Angeles, CA US 2020-02-01T19:53:03 1 0 0
86 86 Madison, WI US 2020-02-05T21:53:02 1 0 0
87 87 Orange, CA US 2020-02-01T19:53:03 1 0 0
88 88 Sacramento County, CA US 2020-02-21T23:13:16 1 0 0
89 89 San Antonio, TX US 2020-02-13T18:53:02 1 0 0
92 92 Lackland, TX (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0
93 93 Omaha, NE (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0
94 94 Travis, CA (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0
17 17   Italy 2020-02-25T18:55:32 322 10 1
53 53 Queensland Australia 2020-02-21T05:43:02 5 0 1
58 58   Philippines 2020-02-12T07:43:02 3 1 1
65 65 San Diego County, CA US 2020-02-21T05:43:02 2 0 1
66 66 Santa Clara, CA US 2020-02-21T05:23:04 2 0 1
69 69   Belgium 2020-02-17T04:23:06 1 0 1
70 70   Cambodia 2020-02-12T07:43:02 1 0 1
71 71 London, ON Canada 2020-02-12T18:53:03 1 0 1
74 74   Finland 2020-02-12T00:03:12 1 0 1
78 78 Tibet Mainland China 2020-02-12T06:43:02 1 0 1
79 79   Nepal 2020-02-12T14:43:03 1 0 1
80 80   Sri Lanka 2020-02-08T03:43:03 1 0 1
90 90 Seattle, WA US 2020-02-09T07:03:04 1 0 1
91 91 Tempe, AZ US 2020-02-25T21:23:03 1 0 1
52 52   Spain 2020-02-25T21:33:02 6 0 2
56 56 Toronto, ON Canada 2020-02-24T14:43:03 3 0 2
59 59 South Australia Australia 2020-02-17T08:13:09 2 0 2
62 62   Russia 2020-02-12T14:43:03 2 0 2
63 63 Chicago, IL US 2020-02-09T19:03:03 2 0 2
57 57   India 2020-02-16T07:43:02 3 0 3
47 47   United Arab Emirates 2020-02-22T14:53:02 13 0 4
54 54 New South Wales Australia 2020-02-13T17:53:03 4 0 4
55 55 Victoria Australia 2020-02-13T17:53:03 4 0 4
39 39 Taiwan Taiwan 2020-02-25T06:53:02 31 1 5
49 49 Macau Macau 2020-02-25T15:23:04 10 0 7
46 46   UK 2020-02-24T08:33:02 13 0 8
45 45   France 2020-02-25T21:23:03 14 1 11
43 43   Germany 2020-02-25T21:33:02 17 0 14
44 44   Vietnam 2020-02-25T08:53:02 16 0 16
41 41   Malaysia 2020-02-24T11:53:02 22 0 18
42 42 Qinghai Mainland China 2020-02-21T04:43:02 18 0 18
33 33 Hong Kong Hong Kong 2020-02-25T09:43:02 84 2 19
7 7   South Korea 2020-02-25T08:13:19 977 10 22
23 23   Japan 2020-02-25T14:53:03 170 1 22
37 37   Thailand 2020-02-25T08:53:02 37 0 22
34 34 Xinjiang Mainland China 2020-02-24T15:03:05 76 2 30
35 35 Inner Mongolia Mainland China 2020-02-25T23:53:02 75 0 35
32 32   Singapore 2020-02-25T18:55:32 91 0 53
36 36 Ningxia Mainland China 2020-02-25T03:53:02 71 0 61
30 30 Jilin Mainland China 2020-02-25T15:23:04 93 1 63
31 31 Gansu Mainland China 2020-02-24T15:13:07 91 2 80
28 28 Liaoning Mainland China 2020-02-25T00:23:03 121 1 83
26 26 Tianjin Mainland China 2020-02-25T15:23:04 135 3 91
27 27 Shanxi Mainland China 2020-02-25T23:13:03 133 0 98
25 25 Guizhou Mainland China 2020-02-25T08:03:07 146 2 104
24 24 Hainan Mainland China 2020-02-25T12:53:02 168 5 124
22 22 Yunnan Mainland China 2020-02-25T04:53:02 174 2 129
20 20 Guangxi Mainland China 2020-02-25T10:03:07 252 2 134
21 21 Shaanxi Mainland China 2020-02-25T15:23:04 245 1 186
19 19 Fujian Mainland China 2020-02-25T10:03:07 294 1 199
15 15 Beijing Mainland China 2020-02-25T01:33:02 400 4 215
14 14 Heilongjiang Mainland China 2020-02-25T15:23:04 480 12 243
18 18 Hebei Mainland China 2020-02-25T12:43:02 311 6 248
16 16 Shanghai Mainland China 2020-02-25T06:33:02 336 3 268
13 13 Sichuan Mainland China 2020-02-25T15:03:05 529 3 289
9 9 Shandong Mainland China 2020-02-25T12:53:02 756 6 355
12 12 Chongqing Mainland China 2020-02-25T23:23:03 576 6 372
11 11 Jiangsu Mainland China 2020-02-25T00:53:02 631 0 458
8 8 Jiangxi Mainland China 2020-02-25T15:03:05 934 1 683
6 6 Anhui Mainland China 2020-02-25T06:33:02 989 6 712
5 5 Hunan Mainland China 2020-02-25T15:03:05 1016 4 768
4 4 Zhejiang Mainland China 2020-02-25T09:13:05 1205 1 808
2 2 Guangdong Mainland China 2020-02-25T08:53:02 1347 7 822
3 3 Henan Mainland China 2020-02-25T12:43:02 1271 19 1002
1 1 Hubei Mainland China 2020-02-25T15:23:04 64786 2563 18971

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CREATE TABLE [02-25-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER
);