New: World coronavirus map

Coronavirus in Maldives

Affected Population

0.0036 %

This is the part of confirmed infection cases against the total 531 thousand of its population.

Affected 1 of every 27,947

Recovery Pie

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

Raw Numbers on April 6th, 2020

19confirmed0

13recovered0

0failed0

6active0

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Maldives 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 Maldives. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

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.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Died
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per million
Died
per million
Apr 6th 19 0.0 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Apr 5th 19 0.0 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Apr 4th 19 0.0 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Apr 3rd 19 0.0 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Apr 2nd 19 0.0 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Apr 1st 19 5.6 % 13 0 6 68.4 % 0.0 % 0.0036 % 35.78 0.00
Mar 31st 18 5.9 % 13 0 5 72.2 % 0.0 % 0.0034 % 33.90 0.00
Mar 30th 17 0.0 % 13 0 4 76.5 % 0.0 % 0.0032 % 32.02 0.00
Mar 29th 17 6.3 % 13 0 4 76.5 % 0.0 % 0.0032 % 32.02 0.00
Mar 28th 16 0.0 % 9 0 7 56.3 % 0.0 % 0.003 % 30.13 0.00
Mar 27th 16 23.1 % 9 0 7 56.3 % 0.0 % 0.003 % 30.13 0.00
Mar 26th 13 0.0 % 8 0 5 61.5 % 0.0 % 0.0024 % 24.48 0.00
Mar 25th 13 0.0 % 8 0 5 61.5 % 0.0 % 0.0024 % 24.48 0.00
Mar 24th 13 0.0 % 5 0 8 38.5 % 0.0 % 0.0024 % 24.48 0.00
Mar 23rd 13 0.0 % 5 0 8 38.5 % 0.0 % 0.0024 % 24.48 0.00
Mar 22nd 13 0.0 % 3 0 10 23.1 % 0.0 % 0.0024 % 24.48 0.00
Mar 21st 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 20th 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 19th 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 18th 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 17th 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 16th 13 0.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 15th 13 30.0 % 0 0 13 0.0 % 0.0 % 0.0024 % 24.48 0.00
Mar 14th 10 11.1 % 0 0 10 0.0 % 0.0 % 0.0019 % 18.83 0.00
Mar 13th 9 12.5 % 0 0 9 0.0 % 0.0 % 0.0017 % 16.95 0.00
Mar 12th 8 0.0 % 0 0 8 0.0 % 0.0 % 0.0015 % 15.07 0.00
Mar 11th 8 33.3 % 0 0 8 0.0 % 0.0 % 0.0015 % 15.07 0.00
Mar 10th 6 50.0 % 0 0 6 0.0 % 0.0 % 0.0011 % 11.30 0.00
Mar 9th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 7.53 0.00
Mar 8th 4 0 0 4 0.0 % 0.0 % < 0.001 % 7.53 0.00

Statistics per Continent

Spread over the continents timeline

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

The whole world

World excluding China

More statistics on countries

Countries vs China

Whole world

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

China, Hong Kong SAR

China, Macao SAR

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

Zambia

Zimbabwe

The green and red arrows display the change of the number of new confirmed cases for the last two days.

Link
Send
Send

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. 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.