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Coronavirus in Iceland

Affected Population

0.28 %

This is the part of confirmed infection cases against the total 339 thousand of its population.

Affected 1 of every 352
Failed to recover 1 of every 169,500

Recovery Pie

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

Raw Numbers on March 28th, 2020

963confirmed

114recovered

2failed

847active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Iceland 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 Iceland. 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 less cases registered today than yesterday.

Raw Daily Numbers

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Failed
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
1 confirmed
per every
1 failed
per every
Mar 28th 963 8.2 % 114 2 847 11.8 % 0.2 % 0.28 % 352 169,500
Mar 27th 890 11.0 % 97 2 791 10.9 % 0.2 % 0.26 % 381 169,500
Mar 26th 802 8.8 % 82 2 718 10.2 % 0.2 % 0.24 % 423 169,500
Mar 25th 737 13.7 % 56 2 679 7.6 % 0.3 % 0.22 % 460 169,500
Mar 24th 648 10.2 % 51 2 595 7.9 % 0.3 % 0.19 % 523 169,500
Mar 23th 588 3.5 % 51 1 536 8.7 % 0.2 % 0.17 % 577 339,000
Mar 22nd 568 20.1 % 5 1 562 0.9 % 0.2 % 0.17 % 597 339,000
Mar 21st 473 15.6 % 22 1 450 4.7 % 0.2 % 0.14 % 717 339,000
Mar 20th 409 23.9 % 5 0 404 1.2 % 0.0 % 0.12 % 829
Mar 19th 330 32.0 % 5 1 324 1.5 % 0.3 % 0.097 % 1,027 339,000
Mar 18th 250 13.6 % 5 1 244 2.0 % 0.4 % 0.074 % 1,356 339,000
Mar 17th 220 22.2 % 0 1 219 0.0 % 0.5 % 0.065 % 1,541 339,000
Mar 16th 180 5.3 % 0 0 180 0.0 % 0.0 % 0.053 % 1,883
Mar 15th 171 9.6 % 8 5 158 4.7 % 2.9 % 0.05 % 1,982 67,800
Mar 14th 156 16.4 % 1 0 155 0.6 % 0.0 % 0.046 % 2,173
Mar 13th 134 30.1 % 1 0 133 0.7 % 0.0 % 0.04 % 2,530
Mar 12th 103 21.2 % 1 0 102 1.0 % 0.0 % 0.03 % 3,291
Mar 11th 85 23.2 % 1 0 84 1.2 % 0.0 % 0.025 % 3,988
Mar 10th 69 19.0 % 1 0 68 1.4 % 0.0 % 0.02 % 4,913
Mar 9th 58 16.0 % 0 0 58 0.0 % 0.0 % 0.017 % 5,845
Mar 8th 50 0.0 % 0 0 50 0.0 % 0.0 % 0.015 % 6,780
Mar 7th 50 16.3 % 0 0 50 0.0 % 0.0 % 0.015 % 6,780
Mar 6th 43 26.5 % 0 0 43 0.0 % 0.0 % 0.013 % 7,884
Mar 5th 34 30.8 % 0 0 34 0.0 % 0.0 % 0.01 % 9,971
Mar 4th 26 136.4 % 0 0 26 0.0 % 0.0 % 0.0077 % 13,038
Mar 3rd 11 83.3 % 0 0 11 0.0 % 0.0 % 0.0032 % 30,818
Mar 2nd 6 100.0 % 0 0 6 0.0 % 0.0 % 0.0018 % 56,500
Mar 1st 3 200.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 113,000
Feb 29th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 339,000
Feb 28th 1 0 0 1 0.0 % 0.0 % < 0.001 % 339,000

Statistics per Continent

Spread over the continents timeline

Whole world

Africa

Asia

Europe

North America

Oceania

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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

Bosnia and Herzegovina

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

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

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

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

San Marino

Saudi Arabia

Senegal

Serbia

Seychelles

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

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

Zambia

Zimbabwe

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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. 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.