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 | 2020-02-02T23:43:02 | 11177 | 350 | 295 |
2 | Zhejiang | Mainland China | 2020-02-02T18:03:05 | 661 | 0 | 32 |
3 | Guangdong | Mainland China | 2020-02-02T18:03:05 | 632 | 0 | 15 |
4 | Henan | Mainland China | 2020-02-02T18:03:05 | 493 | 2 | 10 |
5 | Hunan | Mainland China | 2020-02-02T18:03:05 | 463 | 0 | 16 |
6 | Anhui | Mainland China | 2020-02-02T18:03:05 | 340 | 0 | 7 |
7 | Jiangxi | Mainland China | 2020-02-02T18:03:05 | 333 | 0 | 12 |
8 | Chongqing | Mainland China | 2020-02-02T23:33:02 | 300 | 2 | 7 |
9 | Jiangsu | Mainland China | 2020-02-02T18:03:05 | 236 | 0 | 7 |
10 | Sichuan | Mainland China | 2020-02-02T18:03:05 | 231 | 1 | 11 |
11 | Shandong | Mainland China | 2020-02-02T18:03:05 | 230 | 0 | 6 |
12 | Beijing | Mainland China | 2020-02-02T08:43:02 | 191 | 1 | 9 |
13 | Shanghai | Mainland China | 2020-02-02T05:53:02 | 182 | 1 | 10 |
14 | Fujian | Mainland China | 2020-02-02T03:43:01 | 159 | 0 | 0 |
15 | Shaanxi | Mainland China | 2020-02-02T03:23:14 | 116 | 0 | 0 |
16 | Guangxi | Mainland China | 2020-02-02T00:23:13 | 111 | 0 | 2 |
17 | Yunnan | Mainland China | 2020-02-02T18:03:05 | 105 | 0 | 3 |
18 | Hebei | Mainland China | 2020-02-02T02:53:02 | 104 | 1 | 3 |
19 | Heilongjiang | Mainland China | 2020-02-02T03:23:14 | 95 | 2 | 2 |
20 | Liaoning | Mainland China | 2020-02-02T18:03:05 | 70 | 0 | 1 |
21 | Shanxi | Mainland China | 2020-02-02T23:23:13 | 66 | 0 | 3 |
22 | Hainan | Mainland China | 2020-02-02T18:03:05 | 64 | 1 | 4 |
23 | Gansu | Mainland China | 2020-02-02T23:43:02 | 51 | 0 | 3 |
24 | Tianjin | Mainland China | 2020-02-02T09:43:01 | 48 | 0 | 1 |
25 | Guizhou | Mainland China | 2020-02-02T01:03:32 | 38 | 0 | 2 |
26 | Ningxia | Mainland China | 2020-02-02T01:43:02 | 28 | 0 | 0 |
27 | Inner Mongolia | Mainland China | 2020-02-02T03:43:01 | 27 | 0 | 1 |
28 | Jilin | Mainland China | 2020-02-02T02:33:02 | 23 | 0 | 1 |
29 | Xinjiang | Mainland China | 2020-02-02T00:43:02 | 21 | 0 | 0 |
30 | Japan | 2020-02-01T18:53:03 | 20 | 0 | 1 | |
31 | Thailand | 2020-01-31T10:37:00 | 19 | 0 | 9 | |
32 | Singapore | 2020-02-02T01:03:32 | 18 | 0 | 0 | |
33 | Hong Kong | Hong Kong | 2020-02-02T23:53:02 | 15 | 0 | 0 |
34 | South Korea | 2020-02-02T02:23:13 | 15 | 0 | 0 | |
35 | Qinghai | Mainland China | 2020-02-02T05:33:03 | 11 | 0 | 0 |
36 | Germany | 2020-02-02T18:03:05 | 10 | 0 | 0 | |
37 | Taiwan | Taiwan | 2020-01-31T15:20:56 | 10 | 0 | 0 |
38 | Macau | Macau | 2020-02-02T04:23:14 | 8 | 0 | 0 |
39 | Malaysia | 2020-01-31T08:15:53 | 8 | 0 | 0 | |
40 | France | 2020-02-01T01:52:40 | 6 | 0 | 0 | |
41 | Vietnam | 2020-02-01T07:38:12 | 6 | 0 | 1 | |
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 | Ontario | Canada | 2020-02-01T18:12:49 | 3 | 0 | 0 |
46 | Queensland | Australia | 2020-02-02T22:33:07 | 2 | 0 | 0 |
47 | South Australia | Australia | 2020-02-02T22:33:07 | 2 | 0 | 0 |
48 | India | 2020-02-02T06:03:08 | 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 | Cambodia | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
55 | British Columbia | Canada | 2020-02-01T18:12:49 | 1 | 0 | 0 |
56 | Finland | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
57 | Tibet | Mainland China | 2020-02-01T01:52:40 | 1 | 0 | 0 |
58 | Nepal | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
59 | Spain | 2020-02-01T23:43:02 | 1 | 0 | 0 | |
60 | Sri Lanka | 2020-01-31T08:15:53 | 1 | 0 | 0 | |
61 | Sweden | 2020-02-01T02:13:26 | 1 | 0 | 0 | |
62 | Boston, MA | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |
63 | Los Angeles, CA | US | 2020-02-01T19:53:03 | 1 | 0 | 0 |
64 | Orange, CA | US | 2020-02-01T19:53:03 | 1 | 0 | 0 |
65 | Santa Clara, CA | US | 2020-02-01T19:53:03 | 1 | 0 | 0 |
66 | Seattle, WA | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |
67 | Tempe, AZ | US | 2020-02-01T19:43:03 | 1 | 0 | 0 |