SPCN's Covid-19 Daily Statistics
This table displays Covid-19 statistics, sorted by change in numbers in descending order which helps seeing where the cases are growing rapidly.
Click on the country name to view the country's page.
Data source: 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE (link: https://github.com/CSSEGISandData/COVID-19).
For map, please see Johns Hopkins CSSE's COVID-19 dashboard.
Useful links:
- Johns Hopkins CSSE's COVID-19 Dashboard (Desktop Version): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
- Johns Hopkins CSSE's COVID-19 Dashboard (Mobile Version): https://www.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61
- WHO COVID-19 page: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/
- CDC COVID-19 page: https://www.cdc.gov/coronavirus/2019-ncov/index.html
Total: 102,012
By Change in Numbers
Past Day
(08 Apr - 09 Apr)
28 0.03%
(Top 3 States)
Past 3 Days
(07 Apr - 09 Apr)
59 0.06%
(Top 3 States)
Total: 4,843
By Change in Numbers
Past Day
(08 Apr - 09 Apr)
2 0.04%
(Top 3 States)
Past 3 Days
(07 Apr - 09 Apr)
2 0.04%
(Top 3 States)
Confirmed Cases | Confirmed Deaths | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Past Day (08 Apr - 09 Apr) | Past 3 Days (07 Apr - 09 Apr) | Past Day (08 Apr - 09 Apr) | Past 3 Days (07 Apr - 09 Apr) | ||||||||||||
Country | Latest Confirmed Cases (date: 09 Apr) | Change | Change (%) | Change | Change (%) | Latest Confirmed Deaths (date: 09 Apr) | Change | Change (%) | Change | Change (%) | |||||
China | 102,012 | 28 | 0.03% | 59 | 0.06% | 4,843 | 2 | 0.04% | 2 | 0.04% | |||||
Hong Kong | 2 2 | 11,563 | 14 | 50.00% | 0.12% | 24 | 40.68% | 0.21% | 207 | 2 | 100.00% | 0.98% | 2 | 100.00% | 0.98% |
Shanghai | 4 7 | 1,920 | 4 | 14.29% | 0.21% | 7 | 11.86% | 0.37% | 7 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Fujian | 576 | 2 | 7.14% | 0.35% | 3 | 5.08% | 0.52% | 1 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Beijing | 9 5 | 1,055 | 1 | 3.57% | 0.09% | 2 | 3.39% | 0.19% | 9 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Hubei | 1 1 | 68,154 | 1 | 3.57% | 0.00% | 1 | 1.69% | 0.00% | 4,512 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Liaoning | 408 | 1 | 3.57% | 0.25% | 1 | 1.69% | 0.25% | 2 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Shaanxi | 576 | 1 | 3.57% | 0.17% | 3 | 5.08% | 0.52% | 3 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Shandong | 7 | 872 | 1 | 3.57% | 0.11% | 1 | 1.69% | 0.11% | 7 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Shanxi | 247 | 1 | 3.57% | 0.41% | 2 | 3.39% | 0.82% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Yunnan | 321 | 1 | 3.57% | 0.31% | 9 | 15.25% | 2.88% | 2 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Zhejiang | 6 | 1,325 | 1 | 3.57% | 0.08% | 1 | 1.69% | 0.08% | 1 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Anhui | 8 | 994 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 6 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Chongqing | 591 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 6 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Gansu | 193 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 2 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Guangdong | 3 6 | 2,295 | 0 | 0.00% | 0.00% | 4 | 6.78% | 0.17% | 8 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Guangxi | 267 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 2 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Guizhou | 147 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 2 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Hainan | 171 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 6 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Hebei | 7 7 | 1,317 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 7 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Heilongjiang | 5 4 | 1,610 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 13 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Henan | 8 3 | 1,311 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 22 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Hunan | 10 | 1,044 | 0 | 0.00% | 0.00% | 1 | 1.69% | 0.10% | 4 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |
Inner Mongolia | 377 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 1 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Jiangsu | 716 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Jiangxi | 937 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 1 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Jilin | 573 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 3 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Macau | 49 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Ningxia | 75 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Qinghai | 18 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Sichuan | 954 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 3 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Tianjin | 375 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 3 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | |
Tibet | 1 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 0 | 0 | 0.00% | N/A | 0 | 0.00% | N/A | |
Xinjiang | 980 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% | 3 | 0 | 0.00% | 0.00% | 0 | 0.00% | 0.00% |