Coronavirus in China

China provinces and regions

Affected Population

0.0059 %

This is the part of confirmed infection cases against the total 1434 million of its population.

Affected 0.059 per 1000 people
Died 0.0032 per 1000 people

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in China.

Raw Numbers on April 27, 2020

83,918confirmed+6

78,374recovered+97

4,637fatal0

907active−91

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in China and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in China. The only parameter here is the number of confirmed cases.

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in China every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.

Note that the vertical axis is drawn in logarithmic scale by default.

As there is no monthly data available in China, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.

Weekly Levels

This graph draws the number of deaths in China connected to the COVID-19 infection aggregated by weeks of 2020.

Crude rates

Crude mortality rate is the number of people died in a country within a year per each 1000 of population.

Here, the crude rate in China is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.

Note that the vertical axis is drawn in logarithmic scale by default.

Per capita values

Here, the number of confirmations and deaths per 1000 of population in China is shown. These numbers is a better choice when comparing different countries than absolute numbers.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Fatal
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per 1000
Died
per 1000
Apr 27 83,918 0.0 % 78,374 4,637 907 93.4 % 5.5 % 0.0059 % 0.059 0.0032
Apr 26 83,912 0.0 % 78,277 4,637 998 93.3 % 5.5 % 0.0059 % 0.059 0.0032
Apr 25 83,909 0.0 % 78,175 4,636 1,098 93.2 % 5.5 % 0.0059 % 0.059 0.0032
Apr 24 83,899 0.0 % 78,109 4,636 1,154 93.1 % 5.5 % 0.0059 % 0.059 0.0032
Apr 23 83,884 0.0 % 77,983 4,636 1,265 93.0 % 5.5 % 0.0059 % 0.059 0.0032
Apr 22 83,868 0.0 % 77,861 4,636 1,371 92.8 % 5.5 % 0.0058 % 0.058 0.0032
Apr 21 83,853 0.0 % 77,799 4,636 1,418 92.8 % 5.5 % 0.0058 % 0.058 0.0032
Apr 20 83,817 0.0 % 77,745 4,636 1,436 92.8 % 5.5 % 0.0058 % 0.058 0.0032
Apr 19 83,805 0.0 % 77,690 4,636 1,479 92.7 % 5.5 % 0.0058 % 0.058 0.0032
Apr 18 83,787 0.0 % 77,614 4,636 1,537 92.6 % 5.5 % 0.0058 % 0.058 0.0032
Apr 17 83,760 0.4 % 77,552 4,636 1,572 92.6 % 5.5 % 0.0058 % 0.058 0.0032
Apr 16 83,403 0.1 % 78,401 3,346 1,656 94.0 % 4.0 % 0.0058 % 0.058 0.0023
Apr 15 83,356 0.1 % 78,311 3,346 1,699 93.9 % 4.0 % 0.0058 % 0.058 0.0023
Apr 14 83,306 0.1 % 78,200 3,345 1,761 93.9 % 4.0 % 0.0058 % 0.058 0.0023
Apr 13 83,213 0.1 % 78,039 3,345 1,829 93.8 % 4.0 % 0.0058 % 0.058 0.0023
Apr 12 83,134 0.1 % 77,956 3,343 1,835 93.8 % 4.0 % 0.0058 % 0.058 0.0023
Apr 11 83,014 0.1 % 77,877 3,343 1,794 93.8 % 4.0 % 0.0058 % 0.058 0.0023
Apr 10 82,941 0.1 % 77,791 3,340 1,810 93.8 % 4.0 % 0.0058 % 0.058 0.0023
Apr 9 82,883 0.1 % 77,679 3,339 1,865 93.7 % 4.0 % 0.0058 % 0.058 0.0023
Apr 8 82,809 0.1 % 77,567 3,337 1,905 93.7 % 4.0 % 0.0058 % 0.058 0.0023
Apr 7 82,718 0.1 % 77,410 3,335 1,973 93.6 % 4.0 % 0.0058 % 0.058 0.0023
Apr 6 82,665 0.1 % 77,310 3,335 2,020 93.5 % 4.0 % 0.0058 % 0.058 0.0023
Apr 5 82,602 0.1 % 77,207 3,333 2,062 93.5 % 4.0 % 0.0058 % 0.058 0.0023
Apr 4 82,543 0.0 % 76,946 3,330 2,267 93.2 % 4.0 % 0.0058 % 0.058 0.0023
Apr 3 82,511 0.1 % 76,760 3,326 2,425 93.0 % 4.0 % 0.0058 % 0.058 0.0023
Apr 2 82,432 0.1 % 76,565 3,322 2,545 92.9 % 4.0 % 0.0057 % 0.057 0.0023
Apr 1 82,361 0.1 % 76,399 3,316 2,646 92.8 % 4.0 % 0.0057 % 0.057 0.0023
Mar 31 82,279 0.1 % 76,200 3,309 2,770 92.6 % 4.0 % 0.0057 % 0.057 0.0023
Mar 30 82,198 0.1 % 75,917 3,308 2,973 92.4 % 4.0 % 0.0057 % 0.057 0.0023
Mar 29 82,122 0.2 % 75,576 3,304 3,242 92.0 % 4.0 % 0.0057 % 0.057 0.0023
Mar 28 81,999 0.1 % 75,094 3,299 3,606 91.6 % 4.0 % 0.0057 % 0.057 0.0023
Mar 27 81,897 0.1 % 74,714 3,296 3,887 91.2 % 4.0 % 0.0057 % 0.057 0.0023
Mar 26 81,782 0.1 % 74,175 3,291 4,316 90.7 % 4.0 % 0.0057 % 0.057 0.0023
Mar 25 81,661 0.1 % 73,767 3,285 4,609 90.3 % 4.0 % 0.0057 % 0.057 0.0023
Mar 24 81,591 0.1 % 73,274 3,281 5,036 89.8 % 4.0 % 0.0057 % 0.057 0.0023
Mar 23 81,496 0.1 % 72,819 3,274 5,403 89.4 % 4.0 % 0.0057 % 0.057 0.0023
Mar 22 81,397 0.1 % 72,362 3,265 5,770 88.9 % 4.0 % 0.0057 % 0.057 0.0023
Mar 21 81,305 0.1 % 71,857 3,259 6,189 88.4 % 4.0 % 0.0057 % 0.057 0.0023
Mar 20 81,250 0.1 % 71,266 3,253 6,731 87.7 % 4.0 % 0.0057 % 0.057 0.0023
Mar 19 81,156 0.1 % 70,535 3,249 7,372 86.9 % 4.0 % 0.0057 % 0.057 0.0023
Mar 18 81,102 0.1 % 69,755 3,241 8,106 86.0 % 4.0 % 0.0057 % 0.057 0.0023
Mar 17 81,058 0.0 % 68,798 3,230 9,030 84.9 % 4.0 % 0.0057 % 0.057 0.0023
Mar 16 81,033 0.0 % 67,910 3,217 9,906 83.8 % 4.0 % 0.0057 % 0.057 0.0022
Mar 15 81,003 0.0 % 67,017 3,203 10,783 82.7 % 4.0 % 0.0056 % 0.056 0.0022
Mar 14 80,977 0.0 % 65,660 3,193 12,124 81.1 % 3.9 % 0.0056 % 0.056 0.0022
Mar 13 80,945 0.0 % 64,196 3,180 13,569 79.3 % 3.9 % 0.0056 % 0.056 0.0022
Mar 12 80,932 0.0 % 62,901 3,172 14,859 77.7 % 3.9 % 0.0056 % 0.056 0.0022
Mar 11 80,921 -0.0 % 61,644 3,161 16,116 76.2 % 3.9 % 0.0056 % 0.056 0.0022
Mar 10 80,934 0.1 % 60,198 3,140 17,596 74.4 % 3.9 % 0.0056 % 0.056 0.0022
Mar 9 80,860 0.0 % 58,804 3,123 18,933 72.7 % 3.9 % 0.0056 % 0.056 0.0022
Mar 8 80,823 0.1 % 57,388 3,100 20,335 71.0 % 3.8 % 0.0056 % 0.056 0.0022
Mar 7 80,770 0.1 % 55,539 3,072 22,159 68.8 % 3.8 % 0.0056 % 0.056 0.0021
Mar 6 80,690 0.2 % 53,944 3,044 23,702 66.9 % 3.8 % 0.0056 % 0.056 0.0021
Mar 5 80,537 0.2 % 52,292 3,015 25,230 64.9 % 3.7 % 0.0056 % 0.056 0.0021
Mar 4 80,386 0.2 % 50,001 2,983 27,402 62.2 % 3.7 % 0.0056 % 0.056 0.0021
Mar 3 80,261 0.2 % 47,450 2,947 29,864 59.1 % 3.7 % 0.0056 % 0.056 0.0021
Mar 2 80,136 0.3 % 44,854 2,914 32,368 56.0 % 3.6 % 0.0056 % 0.056 0.0020
Mar 1 79,932 0.7 % 42,162 2,872 34,898 52.7 % 3.6 % 0.0056 % 0.056 0.0020
Feb 29 79,356 0.5 % 39,320 2,837 37,199 49.5 % 3.6 % 0.0055 % 0.055 0.0020
Feb 28 78,928 0.4 % 36,329 2,790 39,809 46.0 % 3.5 % 0.0055 % 0.055 0.0019
Feb 27 78,600 0.6 % 32,930 2,746 42,924 41.9 % 3.5 % 0.0055 % 0.055 0.0019
Feb 26 78,166 0.5 % 30,084 2,717 45,365 38.5 % 3.5 % 0.0055 % 0.055 0.0019
Feb 25 77,754 0.7 % 27,676 2,665 47,413 35.6 % 3.4 % 0.0054 % 0.054 0.0019
Feb 24 77,241 0.3 % 25,015 2,595 49,631 32.4 % 3.4 % 0.0054 % 0.054 0.0018
Feb 23 77,022 0.0 % 23,187 2,445 51,390 30.1 % 3.2 % 0.0054 % 0.054 0.0017
Feb 22 77,001 1.9 % 22,699 2,443 51,859 29.5 % 3.2 % 0.0054 % 0.054 0.0017
Feb 21 75,550 0.6 % 18,704 2,238 54,608 24.8 % 3.0 % 0.0053 % 0.053 0.0016
Feb 20 75,077 0.6 % 18,014 2,238 54,825 24.0 % 3.0 % 0.0052 % 0.052 0.0016
Feb 19 74,619 0.5 % 15,962 2,116 56,541 21.4 % 2.8 % 0.0052 % 0.052 0.0015
Feb 18 74,211 2.5 % 14,206 2,003 58,002 19.1 % 2.7 % 0.0052 % 0.052 0.0014
Feb 17 72,434 2.7 % 12,462 1,864 58,108 17.2 % 2.6 % 0.0051 % 0.051 0.0013
Feb 16 70,513 3.1 % 10,755 1,766 57,992 15.3 % 2.5 % 0.0049 % 0.049 0.0012
Feb 15 68,413 3.1 % 9,298 1,663 57,452 13.6 % 2.4 % 0.0048 % 0.048 0.0012
Feb 14 66,358 10.8 % 7,977 1,521 56,860 12.0 % 2.3 % 0.0046 % 0.046 0.0011
Feb 13 59,895 33.8 % 6,217 1,369 52,309 10.4 % 2.3 % 0.0042 % 0.042 0.00095
Feb 12 44,759 0.8 % 5,082 1,117 38,560 11.4 % 2.5 % 0.0031 % 0.031 0.00078
Feb 11 44,386 4.8 % 4,636 1,112 38,638 10.4 % 2.5 % 0.0031 % 0.031 0.00078
Feb 10 42,354 6.3 % 3,918 1,012 37,424 9.3 % 2.4 % 0.003 % 0.030 0.00071
Feb 9 39,829 8.2 % 3,219 905 35,705 8.1 % 2.3 % 0.0028 % 0.028 0.00063
Feb 8 36,814 7.9 % 2,596 805 33,413 7.1 % 2.2 % 0.0026 % 0.026 0.00056
Feb 7 34,110 11.5 % 1,999 718 31,393 5.9 % 2.1 % 0.0024 % 0.024 0.00050
Feb 6 30,587 11.5 % 1,477 633 28,477 4.8 % 2.1 % 0.0021 % 0.021 0.00044
Feb 5 27,440 15.7 % 1,115 563 25,762 4.1 % 2.1 % 0.0019 % 0.019 0.00039
Feb 4 23,707 20.2 % 843 491 22,373 3.6 % 2.1 % 0.0017 % 0.017 0.00034
Feb 3 19,716 18.6 % 614 425 18,677 3.1 % 2.2 % 0.0014 % 0.014 0.00030
Feb 2 16,630 39.9 % 463 361 15,806 2.8 % 2.2 % 0.0012 % 0.012 0.00025
Feb 1 11,891 21.3 % 275 259 11,357 2.3 % 2.2 % < 0.001 % 0.0083 0.00018
Jan 31 9,802 20.4 % 214 213 9,375 2.2 % 2.2 % < 0.001 % 0.0068 0.00015
Jan 30 8,141 33.7 % 135 171 7,835 1.7 % 2.1 % < 0.001 % 0.0057 0.00012
Jan 29 6,087 10.5 % 120 133 5,834 2.0 % 2.2 % < 0.001 % 0.0042 0.00
Jan 28 5,509 91.5 % 101 131 5,277 1.8 % 2.4 % < 0.001 % 0.0038 0.00
Jan 27 2,877 38.7 % 58 82 2,737 2.0 % 2.9 % < 0.001 % 0.0020 0.00
Jan 26 2,075 47.6 % 49 56 1,970 2.4 % 2.7 % < 0.001 % 0.0014 0.00
Jan 25 1,406 52.8 % 39 42 1,325 2.8 % 3.0 % < 0.001 % 0.00098 0.00
Jan 24 920 43.1 % 36 26 858 3.9 % 2.8 % < 0.001 % 0.00064 0.00
Jan 23 643 17.3 % 30 18 595 4.7 % 2.8 % < 0.001 % 0.00045 0.00
Jan 22 548 28 17 503 5.1 % 3.1 % < 0.001 % 0.00038 0.00

Coronavirus in China

Cumulative China statistics | Distribution over the provinces | Compare the provinces

China excluding Hubei

Anhui

Beijing

Chongqing

Fujian

Gansu

Guangdong

Guangxi Zhuangzu

Guizhou

Hainan

Hebei

Heilongjiang

Henan

Hong Kong

Hubei

Hunan

Jiangsu

Jiangxi

Jilin

Liaoning

Macao

Nei Mongol

Ningxia Huizi

Qinghai

Shaanxi

Shandong

Shanghai

Shanxi

Sichuan

Taiwan

Tianjin

Xinjiang Uygur

Xizang

Yunnan

Zhejiang

Statistics per Continent

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

Afghanistan ▲▲

Albania

Algeria

Andorra

Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

Azerbaijan

Bahamas

Bahrain

Bangladesh

Barbados

Belarus

Belgium

Belize

Benin

Bermuda

Bhutan

Bolivia

Bonaire, St. Eustatius & Saba

Bosnia and Herzegovina

Botswana

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

Burundi

Cabo Verde

Cambodia

Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

Colombia

Congo

Costa Rica

Croatia

Cuba

Curaçao

Cyprus

Czechia

Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

Egypt

El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Falkland Islands

Faroe Islands

Fiji

Finland

France ▲▲

French Guiana

French Polynesia

Gabon ▲▲

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

Grenada

Guadeloupe

Guam

Guatemala

Guinea ▲▲

Guinea-Bissau ▲▲

Guyana

Haiti

Holy See

Honduras ▲▲

Hungary

Iceland

India

Indonesia

Iran

Iraq

Ireland

Isle of Man

Israel

Italy

Jamaica

Japan

Jordan

Kazakhstan

Kenya

Kosovo

Kuwait

Kyrgyzstan

Lao People's Dem. Rep.

Latvia

Lebanon

Liberia

Libya

Liechtenstein

Lithuania

Luxembourg

Madagascar

Malawi

Malaysia

Maldives

Mali

Malta

Martinique

Mauritania

Mauritius

Mayotte

Mexico

Moldova

Monaco

Mongolia

Montenegro

Montserrat

Morocco

Mozambique

Myanmar

Namibia

Nepal

Netherlands

New Caledonia

New Zealand

Nicaragua

Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

Réunion

Romania

Russian Federation

Rwanda ▲▲

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Pierre and Miquelon

San Marino

Sao Tome and Principe

Saudi Arabia

Senegal

Serbia

Seychelles

Sierra Leone

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

South Sudan

Spain

Sri Lanka ▲▲

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

Tanzania

Thailand

Timor-Leste

Togo

Trinidad and Tobago

Tunisia

Turkey

Turks and Caicos Islands

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Venezuela

Viet Nam

Western Sahara

Yemen

Zambia

Zimbabwe

The green and red arrows next to the country name display the trend of the new confirmed cases during the last week.

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. Central European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.