COVID_Johns_Hopkins_daily_reports
Data source: Big Local News · About: README
This data as json, copyable, CSV
rowid | Province/State | Country/Region | Last Update | Confirmed | Deaths | Recovered |
---|---|---|---|---|---|---|
1 | Hubei | Mainland China | 2020-02-04T23:43:01 | 16678 | 479 | 522 |
2 | Zhejiang | Mainland China | 2020-02-04T13:03:07 | 829 | 0 | 62 |
3 | Guangdong | Mainland China | 2020-02-04T13:03:07 | 813 | 0 | 30 |
4 | Henan | Mainland China | 2020-02-04T11:53:02 | 675 | 2 | 27 |
5 | Hunan | Mainland China | 2020-02-04T14:03:03 | 593 | 0 | 31 |
6 | Anhui | Mainland China | 2020-02-04T05:33:01 | 480 | 0 | 20 |
7 | Jiangxi | Mainland China | 2020-02-04T14:43:02 | 476 | 0 | 20 |
8 | Chongqing | Mainland China | 2020-02-04T23:43:01 | 366 | 2 | 9 |
9 | Jiangsu | Mainland China | 2020-02-04T11:53:02 | 308 | 0 | 12 |
10 | Sichuan | Mainland China | 2020-02-04T01:43:02 | 282 | 1 | 14 |
11 | Shandong | Mainland China | 2020-02-04T12:03:04 | 275 | 0 | 11 |
12 | Beijing | Mainland China | 2020-02-04T08:33:01 | 228 | 1 | 23 |
13 | Shanghai | Mainland China | 2020-02-04T06:33:02 | 219 | 1 | 12 |
14 | Fujian | Mainland China | 2020-02-04T12:13:11 | 194 | 0 | 3 |
15 | Heilongjiang | Mainland China | 2020-02-04T07:43:01 | 155 | 2 | 4 |
16 | Shaanxi | Mainland China | 2020-02-04T12:33:02 | 142 | 0 | 2 |
17 | Guangxi | Mainland China | 2020-02-04T05:53:01 | 139 | 0 | 10 |
18 | Hebei | Mainland China | 2020-02-04T08:53:01 | 126 | 1 | 4 |
19 | Yunnan | Mainland China | 2020-02-04T23:23:02 | 122 | 0 | 5 |
20 | Liaoning | Mainland China | 2020-02-04T14:13:08 | 81 | 0 | 2 |
21 | Shanxi | Mainland China | 2020-02-04T23:23:02 | 81 | 0 | 4 |
22 | Hainan | Mainland China | 2020-02-04T11:33:03 | 80 | 1 | 5 |
23 | Tianjin | Mainland China | 2020-02-04T13:33:02 | 67 | 0 | 2 |
24 | Guizhou | Mainland China | 2020-02-04T10:43:02 | 58 | 0 | 2 |
25 | Gansu | Mainland China | 2020-02-04T15:43:02 | 57 | 0 | 4 |
26 | Jilin | Mainland China | 2020-02-04T00:23:05 | 42 | 0 | 1 |
27 | Inner Mongolia | Mainland China | 2020-02-04T03:03:07 | 35 | 0 | 1 |
28 | Ningxia | Mainland China | 2020-02-04T02:13:18 | 34 | 0 | 1 |
29 | Xinjiang | Mainland China | 2020-02-04T01:33:01 | 29 | 0 | 0 |
30 | Thailand | 2020-02-04T15:33:03 | 25 | 0 | 10 | |
31 | Singapore | 2020-02-04T15:33:03 | 24 | 0 | 0 | |
32 | Japan | 2020-02-04T16:43:03 | 22 | 0 | 1 | |
33 | Hong Kong | Hong Kong | 2020-02-04T09:03:02 | 17 | 1 | 0 |
34 | South Korea | 2020-02-04T15:33:03 | 16 | 0 | 0 | |
35 | Qinghai | Mainland China | 2020-02-04T01:33:01 | 15 | 0 | 0 |
36 | Germany | 2020-02-03T20:53:02 | 12 | 0 | 0 | |
37 | Taiwan | Taiwan | 2020-02-04T14:53:02 | 11 | 0 | 0 |
38 | Macau | Macau | 2020-02-04T04:43:02 | 10 | 0 | 0 |
39 | Malaysia | 2020-02-04T07:33:02 | 10 | 0 | 0 | |
40 | Vietnam | 2020-02-03T21:43:02 | 8 | 0 | 1 | |
41 | France | 2020-02-01T01:52:40 | 6 | 0 | 0 | |
42 | United Arab Emirates | 2020-02-02T05:43:01 | 5 | 0 | 0 | |
43 | New South Wales | Australia | 2020-02-01T18:12:49 | 4 | 0 | 2 |
44 | Victoria | Australia | 2020-02-01T18:12:49 | 4 | 0 | 0 |
45 | Queensland | Australia | 2020-02-04T16:53:03 | 3 | 0 | 0 |
46 | India | 2020-02-03T21:43:02 | 3 | 0 | 0 | |
47 | South Australia | Australia | 2020-02-02T22:33:07 | 2 | 0 | 0 |
48 | Toronto, ON | Canada | 2020-02-04T00:13:06 | 2 | 0 | 0 |
49 | Italy | 2020-01-31T08:15:53 | 2 | 0 | 0 | |
50 | Philippines | 2020-02-02T03:33:07 | 2 | 1 | 0 | |
51 | Russia | 2020-01-31T16:13:45 | 2 | 0 | 0 | |
52 | UK | 2020-02-01T01:52:40 | 2 | 0 | 0 | |
53 | Chicago, IL | US | 2020-02-01T19:43:03 | 2 | 0 | 0 |
54 | San Benito, CA | US | 2020-02-03T03:53:02 | 2 | 0 | 0 |
55 | Santa Clara, CA | US | 2020-02-03T00:43:02 | 2 | 0 | 0 |
56 | Belgium | 2020-02-04T15:43:02 | 1 | 0 | 0 | |
57 | Cambodia | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
58 | British Columbia | Canada | 2020-02-01T18:12:49 | 1 | 0 | 0 |
59 | London, ON | Canada | 2020-02-04T00:03:11 | 1 | 0 | 0 |
60 | Finland | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
61 | Tibet | Mainland China | 2020-02-01T01:52:40 | 1 | 0 | 0 |
62 | Nepal | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
63 | Spain | 2020-02-01T23:43:02 | 1 | 0 | 0 | |
64 | Sri Lanka | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
65 | Sweden | 2020-02-01T02:13:26 | 1 | 0 | 0 | |
66 | Boston, MA | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |
67 | Los Angeles, CA | US | 2020-02-01T19:53:03 | 1 | 0 | 0 |
68 | Orange, CA | US | 2020-02-01T19:53:03 | 1 | 0 | 0 |
69 | Seattle, WA | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |
70 | Tempe, AZ | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |