01-30-2020

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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

58 rows sorted by Province/State

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Suggested facets: Country/Region, Deaths, Recovered

Link rowid Province/State ▼ Country/Region Last Update Confirmed Deaths Recovered
39 39   Japan 1/30/20 16:00 11   1.0
40 40   Thailand 1/30/20 16:00 14 0 7.0
41 41   South Korea 1/30/20 16:00 4    
42 42   Singapore 1/30/20 16:00 10    
43 43   Vietnam 1/30/20 16:00 2    
44 44   France 1/30/20 16:00 5    
45 45   Nepal 1/30/20 16:00 1    
46 46   Malaysia 1/30/20 16:00 8    
49 49   Cambodia 1/30/20 16:00 1    
50 50   Sri Lanka 1/30/20 16:00 1    
55 55   Finland 1/30/20 16:00 1    
56 56   United Arab Emirates 1/30/20 16:00 4    
57 57   Philippines 1/30/20 16:00 1    
58 58   India 1/30/20 16:00 1    
6 6 Anhui Mainland China 1/30/20 16:00 200   2.0
38 38 Arizona US 1/30/20 16:00 1    
54 54 Bavaria Germany 1/30/20 16:00 4    
12 12 Beijing Mainland China 1/30/20 16:00 114 1 4.0
48 48 British Columbia Canada 1/30/20 16:00 1    
37 37 California US 1/30/20 16:00 2    
7 7 Chongqing Mainland China 1/30/20 16:00 182   1.0
14 14 Fujian Mainland China 1/30/20 16:00 101    
24 24 Gansu Mainland China 1/30/20 16:00 26    
3 3 Guangdong Mainland China 1/30/20 16:00 354   10.0
15 15 Guangxi Mainland China 1/30/20 16:00 78   2.0
29 29 Guizhou Mainland China 1/30/20 16:00 12   1.0
19 19 Hainan Mainland China 1/30/20 16:00 46 1 1.0
17 17 Hebei Mainland China 1/30/20 16:00 65 1  
20 20 Heilongjiang Mainland China 1/30/20 16:00 44 2  
4 4 Henan Mainland China 1/30/20 16:00 278 2 2.0
30 30 Hong Kong Hong Kong 1/30/20 16:00 10    
1 1 Hubei Mainland China 1/30/20 16:00 4903 162 90.0
5 5 Hunan Mainland China 1/30/20 16:00 277   2.0
36 36 Illinois US 1/30/20 16:00 1    
25 25 Inner Mongolia Mainland China 1/30/20 16:00 19    
11 11 Jiangsu Mainland China 1/30/20 16:00 129   1.0
8 8 Jiangxi Mainland China 1/30/20 16:00 162   5.0
27 27 Jilin Mainland China 1/30/20 16:00 14   1.0
21 21 Liaoning Mainland China 1/30/20 16:00 41   1.0
33 33 Macau Macau 1/30/20 16:00 7    
51 51 New South Wales Australia 1/30/20 16:00 4   2.0
26 26 Ningxia Mainland China 1/30/20 16:00 17    
47 47 Ontario Canada 1/30/20 16:00 2    
32 32 Qinghai Mainland China 1/30/20 16:00 8    
53 53 Queensland Australia 1/30/20 16:00 3    
18 18 Shaanxi Mainland China 1/30/20 16:00 63    
9 9 Shandong Mainland China 1/30/20 16:00 158   1.0
13 13 Shanghai Mainland China 1/30/20 16:00 112 1 5.0
22 22 Shanxi Mainland China 1/30/20 16:00 35   1.0
10 10 Sichuan Mainland China 1/30/20 16:00 142 1 1.0
31 31 Taiwan Taiwan 1/30/20 16:00 9    
23 23 Tianjin Mainland China 1/30/20 16:00 31    
34 34 Tibet Mainland China 1/30/20 16:00 1    
52 52 Victoria Australia 1/30/20 16:00 2    
35 35 Washington US 1/30/20 16:00 1    
28 28 Xinjiang Mainland China 1/30/20 16:00 14    
16 16 Yunnan Mainland China 1/30/20 16:00 70    
2 2 Zhejiang Mainland China 1/30/20 16:00 428   4.0

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CREATE TABLE [01-30-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] FLOAT
);