02-02-2020

67 rows sorted by Deaths

View and edit SQL

Suggested facets: Country/Region, Deaths, Recovered, Last Update (date)

Link rowid Province/State Country/Region Last Update Confirmed Deaths ▼ Recovered
2 Zhejiang Mainland China 2020-02-02T18:03:05 661 0 32
3 Guangdong Mainland China 2020-02-02T18:03:05 632 0 15
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
9 Jiangsu Mainland China 2020-02-02T18:03:05 236 0 7
11 Shandong Mainland China 2020-02-02T18:03:05 230 0 6
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
20 Liaoning Mainland China 2020-02-02T18:03:05 70 0 1
21 Shanxi Mainland China 2020-02-02T23:23:13 66 0 3
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 5
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
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
10 Sichuan Mainland China 2020-02-02T18:03:05 231 1 11
12 Beijing Mainland China 2020-02-02T08:43:02 191 1 9
13 Shanghai Mainland China 2020-02-02T05:53:02 182 1 10
18 Hebei Mainland China 2020-02-02T02:53:02 104 1 3
22 Hainan Mainland China 2020-02-02T18:03:05 64 1 4
50   Philippines 2020-02-02T03:33:07 2 1 0
4 Henan Mainland China 2020-02-02T18:03:05 493 2 10
8 Chongqing Mainland China 2020-02-02T23:33:02 300 2 7
19 Heilongjiang Mainland China 2020-02-02T03:23:14 95 2 2
1 Hubei Mainland China 2020-02-02T23:43:02 11177 350 295

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE "02-02-2020" (
"Province/State" TEXT,
  "Country/Region" TEXT,
  "Last Update" TEXT,
  "Confirmed" INTEGER,
  "Deaths" INTEGER,
  "Recovered" INTEGER
);
Powered by Datasette · Query took 17.108ms