Coronavirus in Liechtenstein

Affected Population

0.22 %

This is the part of confirmed infection cases against the total 38 thousand of its population.

Affected 2.16 per 1000 people
Died 0.026 per 1000 people

Recovery Pie

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

Raw Numbers on June 1, 2020

82confirmed0

55recovered0

1fatal0

26active0

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Liechtenstein 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 Liechtenstein. 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 Liechtenstein 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.

Weekly Levels

This graph draws the number of deaths in Liechtenstein 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 Liechtenstein 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 Liechtenstein 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
Jun 1 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 31 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 30 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 29 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 28 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 27 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 26 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 25 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 24 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 23 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 22 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 21 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 20 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 19 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 18 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 17 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 16 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 15 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 14 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 13 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 12 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 11 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 10 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 9 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 8 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 7 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 6 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 5 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 4 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 3 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 2 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 1 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 30 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 29 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 28 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 27 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 26 82 1.2 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 25 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 24 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 23 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 22 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 21 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 20 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 19 81 2.5 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 18 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 17 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 16 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 15 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 14 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 13 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 12 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 11 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 10 79 1.3 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 9 78 0.0 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 8 78 0.0 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 7 78 1.3 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 6 77 0.0 % 55 1 21 71.4 % 1.3 % 0.2 % 2.03 0.026
Apr 5 77 0.0 % 0 1 76 0.0 % 1.3 % 0.2 % 2.03 0.026
Apr 4 77 2.7 % 0 1 76 0.0 % 1.3 % 0.2 % 2.03 0.026
Apr 3 75 0.0 % 0 0 75 0.0 % 0.0 % 0.2 % 1.97 0.00
Apr 2 75 10.3 % 0 0 75 0.0 % 0.0 % 0.2 % 1.97 0.00
Apr 1 68 0.0 % 0 0 68 0.0 % 0.0 % 0.18 % 1.79 0.00
Mar 31 68 9.7 % 0 0 68 0.0 % 0.0 % 0.18 % 1.79 0.00
Mar 30 62 10.7 % 0 0 62 0.0 % 0.0 % 0.16 % 1.63 0.00
Mar 29 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 28 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 27 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 26 56 9.8 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 25 51 0.0 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 24 51 0.0 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 23 51 37.8 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 22 37 0.0 % 0 0 37 0.0 % 0.0 % 0.097 % 0.97 0.00
Mar 21 37 32.1 % 0 0 37 0.0 % 0.0 % 0.097 % 0.97 0.00
Mar 20 28 0.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 19 28 0.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 18 28 300.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 17 7 75.0 % 0 0 7 0.0 % 0.0 % 0.018 % 0.18 0.00
Mar 16 4 0.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 15 4 0.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 14 4 300.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 13 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 12 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 11 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 10 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 9 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 8 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 7 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 6 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 5 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 4 1 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00

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 ▲▲

Comoros

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

Lesotho

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

Tajikistan

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.