Latest update

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World Statistics

2020-07-12

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confirmed

12,901,551

death

568,969

recovered

7,269,620

active

5,062,962

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Mortality rate

newcases

+ 205,611

Active rate

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cases1M

1,790.68

deaths1M

78.97

recov1M

1,008.99

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active1M

702.72

rt

R(t)=1.06

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gc50per

40 days

gM50per

5 days

days

225

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gd50per

63 days

gdM50per

22 days

ddays

184

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confirmed 7d

1,460,289

deaths 7d

34,157

recov 7d

983,868

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Covid19 by continent

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Africa

Asia

Europe

North America

South America

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Covid19 by Region

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East Asia & Pacific

Europe & Central Asia

South Asia

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Middle East & North Africa

Sub-Saharan Africa

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Latin America & Caribbean

North America

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Covid19 in EU/USA

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United States

European Union

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Covid19 by Income

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High income

Upper middle income

Lower middle income

Lower income

Previous 14d

Cumulative cases by Continent


Confirmed cases by Region (WB definition)


Confirmed cases by Sub-region (Top 5)


Confirmed cases by Country (Top 5)


Confirmed cases by State (USA) (Top 5)


Cases by 1M pop by Continent


Cases by 1M pop by Region (WB definition)


Cases by 1M pop by Sub-region (Top 5)


Cases by 1M pop by Country (Top 5)


Cases by 1M pop by State (USA) (Top 5)


Deaths by 1M pop by Continent


Deaths by 1M pop by Region (WB definition)


Deaths by 1M pop by Sub-region (Top 5)


Deaths by 1M pop by Countries (Top 5)


Deaths by 1M pop by State (USA) (Top 5)


Cases by day

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Cases by day

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New Cases by day

Deaths by day

Country Classification

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Country Classification (2020-07-12)

Column

Cumulative cases

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Cumulative cases

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All in the same TS graph

Cumulative Positive Covid19 cases

Cumulative Covid19 deaths

Cumulative recovered cases

Cumulative active cases

Mortality/Active Rates

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Mortality/Active Rates

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Mortality rate

Active rate

Reproduction number

By Country

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Afghanistan

Albania

Algeria

Andorra

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Angola

Antigua & Barbuda

Argentina

Armenia

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Australia

Austria

Azerbaijan

Bahrain

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Bangladesh

Belarus

Belgium

Benin

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Bhutan

Bolivia

Bosnia & Herzegovina

Botswana

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Brazil

Bulgaria

Burkina Faso

Burundi

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Cameroon

Canada

Cape Verde

Cayman Islands

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Central African Republic

Chad

Chile

China

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Colombia

Comoros

Congo - Brazzaville

Congo - Kinshasa

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Costa Rica

Côte d’Ivoire

Croatia

Cuba

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Cyprus

Czechia

Denmark

Djibouti

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Dominican Republic

Ecuador

Egypt

El Salvador

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Equatorial Guinea

Eritrea

Estonia

Eswatini

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Ethiopia

Finland

France

Gabon

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Gambia

Georgia

Germany

Ghana

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Greece

Guam

Guatemala

Guinea

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Guinea-Bissau

Guyana

Haiti

Honduras

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Hungary

Iceland

India

Indonesia

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Iran

Iraq

Ireland

Israel

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Italy

Jamaica

Japan

Jordan

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Kazakhstan

Kenya

Kuwait

Kyrgyzstan

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Latvia

Lebanon

Liberia

Libya

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Lithuania

Luxembourg

Madagascar

Malawi

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Malaysia

Maldives

Mali

Malta

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Mauritania

Mexico

Moldova

Mongolia

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Montenegro

Morocco

Mozambique

Myanmar (Burma)

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Namibia

Nepal

Netherlands

Nicaragua

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Niger

Nigeria

North Macedonia

Norway

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Oman

Pakistan

Palestinian Territories

Panama

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Paraguay

Peru

Philippines

Poland

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Portugal

Puerto Rico

Qatar

Romania

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Russia

Rwanda

San Marino

São Tomé & Príncipe

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Saudi Arabia

Senegal

Serbia

Seychelles

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Sierra Leone

Singapore

Slovakia

Slovenia

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Somalia

South Africa

South Korea

South Sudan

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Spain

Sri Lanka

Sudan

Suriname

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Sweden

Switzerland

Syria

Tajikistan

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Thailand

Togo

Tunisia

Turkey

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U.S. Virgin Islands

Uganda

Ukraine

United Arab Emirates

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United Kingdom

United States

Uruguay

Uzbekistan

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Venezuela

Vietnam

Yemen

Zambia

Zimbabwe

About

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Author

The data analysis and the design of this website are performed by Dhafer Malouche Professor of Statistics at the University of Carthage, Tunisia.

If you have questions or comments, I’d love to hear from you. So feel free to reach out. You can also email at: dhafer.malouche@essai.u-carthage.tn

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Data

The data used is in this website is extracted from two R packages

  • COVID19 (see [1])
  • nCov19 (see [2])

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References

[1] Guidotti, E., Ardia, D., (2020), “COVID-19 Data Hub”, Working paper, doi: 10.13140/RG.2.2.11649.81763.

[2] Tianzhi Wu, Erqiang Hu, Xijin Ge, Guangchuang Yu. Open-source analytics tools for studying the COVID-19 coronavirus outbreak. medRxiv, 2020.02.25.20027433. doi: https://doi.org/10.1101/2020.02.25.20027433

[3] EpiEstim R package https://cran.r-project.org/web/packages/EpiEstim/index.html

[4] Cori, A. et al. A new framework and software to estimate time-varying reproduction numbers during epidemics (AJE 2013). Wallinga, J. and P. Teunis. Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures (AJE 2004). Reich, N.G. et al. Estimating incubation period distributions with coarse data (Statis. Med. 2009)

[5] Zhanwei Du1, Xiaoke Xu1, Ye Wu1, Lin Wang, Benjamin J. Cowling, and Lauren Ancel Meye, Serial Interval of COVID-19 among Publicly Reported Confirmed Cases, EID Journal, Volume 26, Number 6—June 2020