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

119 rows

View and edit SQL

Suggested facets: Deaths, Last Update (date)

Link rowid ▼ Province/State Country/Region Last Update Confirmed Deaths Recovered
1 Hubei Mainland China 2020-02-29T12:13:10 66337 2727 28993
2   South Korea 2020-02-29T18:13:07 3150 16 27
3 Guangdong Mainland China 2020-02-29T15:33:03 1349 7 983
4 Henan Mainland China 2020-02-29T12:43:05 1272 21 1170
5 Zhejiang Mainland China 2020-02-29T09:13:10 1205 1 1016
6   Italy 2020-02-29T18:03:05 1128 29 46
7 Hunan Mainland China 2020-02-29T15:33:03 1018 4 846
8 Anhui Mainland China 2020-02-29T05:03:13 990 6 868
9 Jiangxi Mainland China 2020-02-29T01:23:07 935 1 811
10 Shandong Mainland China 2020-02-29T15:33:03 756 6 421
11 Diamond Princess cruise ship Others 2020-02-29T01:43:02 705 6 10
12 Jiangsu Mainland China 2020-02-29T07:23:11 631 0 523
13   Iran 2020-02-29T14:53:04 593 43 123
14 Chongqing Mainland China 2020-02-29T23:13:06 576 6 438
15 Sichuan Mainland China 2020-02-29T12:03:07 538 3 351
16 Heilongjiang Mainland China 2020-02-29T12:03:07 480 13 301
17 Beijing Mainland China 2020-02-29T03:33:02 411 8 271
18 Shanghai Mainland China 2020-02-29T06:23:03 337 3 287
19 Hebei Mainland China 2020-02-29T15:33:03 318 6 282
20 Fujian Mainland China 2020-02-29T15:33:03 296 1 243
21 Guangxi Mainland China 2020-02-29T12:03:07 252 2 176
22 Shaanxi Mainland China 2020-02-29T09:03:06 245 1 207
23   Japan 2020-02-29T15:53:04 241 5 32
24 Yunnan Mainland China 2020-02-29T05:03:13 174 2 157
25 Hainan Mainland China 2020-02-29T23:43:02 168 5 148
26 Guizhou Mainland China 2020-02-27T00:43:02 146 2 112
27 Tianjin Mainland China 2020-02-29T12:03:07 136 3 109
28 Shanxi Mainland China 2020-02-29T23:13:06 133 0 114
29 Liaoning Mainland China 2020-02-29T15:33:03 121 1 96
30   Singapore 2020-02-29T14:33:03 102 0 72
31   France 2020-02-29T19:03:04 100 2 12
32 Hong Kong Hong Kong 2020-02-29T23:53:02 95 2 33
33 Jilin Mainland China 2020-02-29T09:13:10 93 1 75
34 Gansu Mainland China 2020-02-28T02:33:02 91 2 82
35   Germany 2020-02-29T14:43:03 79 0 16
36 Xinjiang Mainland China 2020-02-29T12:03:07 76 3 62
37 Inner Mongolia Mainland China 2020-02-29T09:03:06 75 0 49
38 Ningxia Mainland China 2020-02-29T05:53:02 73 0 69
39   Kuwait 2020-02-28T16:23:03 45 0 0
40   Spain 2020-02-29T19:13:08 45 0 2
41 Unassigned Location (From Diamond Princess) US 2020-02-28T20:03:03 44 0 0
42   Thailand 2020-02-29T12:33:03 42 0 28
43   Bahrain 2020-02-29T18:03:05 41 0 0
44 Taiwan Taiwan 2020-02-29T07:13:05 39 1 9
45   Malaysia 2020-02-29T04:03:18 25 0 18
46   UK 2020-02-29T18:03:05 23 0 8
47   United Arab Emirates 2020-02-29T12:33:03 21 0 5
48 Qinghai Mainland China 2020-02-21T04:43:02 18 0 18
49   Switzerland 2020-02-29T18:03:05 18 0 0
50   Vietnam 2020-02-25T08:53:02 16 0 16
51   Norway 2020-02-29T23:13:06 15 0 0
52   Iraq 2020-02-29T18:03:05 13 0 0
53   Sweden 2020-02-29T14:43:03 12 0 0
54 Toronto, ON Canada 2020-02-29T23:23:13 10 0 2
55 Macau Macau 2020-02-27T12:43:02 10 0 8
56 Queensland Australia 2020-02-29T02:03:10 9 0 1
57   Austria 2020-02-29T14:43:03 9 0 0
58 British Columbia Canada 2020-02-29T23:23:13 8 0 3
59 Victoria Australia 2020-02-29T02:03:10 7 0 4
60   Israel 2020-02-29T01:53:03 6 0 0
61   Croatia 2020-02-29T18:03:05 6 0 0
62   Netherlands 2020-02-29T18:03:05 6 0 0
63   Oman 2020-02-29T12:33:03 6 0 1
64 Seattle, WA US 2020-02-29T22:33:03 6 1 1
65 New South Wales Australia 2020-02-13T17:53:03 4 0 4
66   Greece 2020-02-28T15:33:03 4 0 0
67   Lebanon 2020-02-29T01:53:03 4 0 0
68   Mexico 2020-02-29T21:13:17 4 0 0
69   Pakistan 2020-02-29T18:03:05 4 0 0
70 South Australia Australia 2020-02-29T02:03:10 3 0 2
71   Denmark 2020-02-29T18:03:05 3 0 0
72   Finland 2020-02-29T05:23:03 3 0 1
73   India 2020-02-16T07:43:02 3 0 3
74   Philippines 2020-02-12T07:43:02 3 1 1
75   Romania 2020-02-28T15:33:03 3 0 0
76 Santa Clara, CA US 2020-02-29T01:33:03 3 0 1
77 Western Australia Australia 2020-02-29T23:13:06 2 0 0
78   Brazil 2020-02-29T21:03:05 2 0 0
79   Russia 2020-02-12T14:43:03 2 0 2
80 Chicago, IL US 2020-02-09T19:03:03 2 0 2
81 Sacramento County, CA US 2020-02-27T20:33:02 2 0 0
82 San Benito, CA US 2020-02-03T03:53:02 2 0 0
83 San Diego County, CA US 2020-02-21T05:43:02 2 0 1
84   Afghanistan 2020-02-24T23:33:02 1 0 0
85   Algeria 2020-02-25T23:43:03 1 0 0
86   Belarus 2020-02-28T16:23:03 1 0 0
87   Belgium 2020-02-17T04:23:06 1 0 1
88   Cambodia 2020-02-12T07:43:02 1 0 1
89 Montreal, QC Canada 2020-02-28T05:23:07 1 0 0
90 London, ON Canada 2020-02-12T18:53:03 1 0 1
91   Egypt 2020-02-28T04:13:09 1 0 1
92   Estonia 2020-02-27T16:23:03 1 0 0
93   Georgia 2020-02-27T16:23:03 1 0 0
94   Iceland 2020-02-29T00:33:01 1 0 0
95   Ireland 2020-02-29T22:33:03 1 0 0
96   Lithuania 2020-02-28T16:23:03 1 0 0
97   Luxembourg 2020-02-29T21:03:05 1 0 0
98 Tibet Mainland China 2020-02-12T06:43:02 1 0 1
99   Monaco 2020-02-29T00:33:01 1 0 0
100   Nepal 2020-02-12T14:43:03 1 0 1

Next page

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE [02-29-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER
);