New: World coronavirus map

Coronavirus in Austria

Affected Population

0.14 %

This is the part of confirmed infection cases against the total 9 million of its population.

Affected 1 of every 728
Failed to recover 1 of every 40,705

Recovery Pie

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

Raw Numbers on April 6th, 2020

12,297confirmed+246

3,463recovered+465

220failed+16

8,614active−235

Daily Flow

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

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Austria 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 Austria 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 for Austria 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.

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 12,297 2.0 % 3,463 220 8,614 28.2 % 1.8 % 0.14 % 1373.18 24.57
Apr 5th 12,051 2.3 % 2,998 204 8,849 24.9 % 1.7 % 0.13 % 1345.71 22.78
Apr 4th 11,781 2.2 % 2,507 186 9,088 21.3 % 1.6 % 0.13 % 1315.56 20.77
Apr 3rd 11,524 3.5 % 2,022 168 9,334 17.5 % 1.5 % 0.13 % 1286.86 18.76
Apr 2nd 11,129 3.9 % 1,749 158 9,222 15.7 % 1.4 % 0.12 % 1242.76 17.64
Apr 1st 10,711 5.2 % 1,436 146 9,129 13.4 % 1.4 % 0.12 % 1196.08 16.30
Mar 31st 10,180 5.8 % 1,095 128 8,957 10.8 % 1.3 % 0.11 % 1136.78 14.29
Mar 30th 9,618 9.4 % 636 108 8,874 6.6 % 1.1 % 0.11 % 1074.02 12.06
Mar 29th 8,788 6.3 % 479 86 8,223 5.5 % 1.0 % 0.098 % 981.34 9.60
Mar 28th 8,271 8.0 % 225 68 7,978 2.7 % 0.8 % 0.092 % 923.61 7.59
Mar 27th 7,657 10.8 % 225 58 7,374 2.9 % 0.8 % 0.086 % 855.04 6.48
Mar 26th 6,909 23.6 % 112 49 6,748 1.6 % 0.7 % 0.077 % 771.52 5.47
Mar 25th 5,588 5.8 % 9 30 5,549 0.2 % 0.5 % 0.062 % 624.00 3.35
Mar 24th 5,283 18.1 % 9 28 5,246 0.2 % 0.5 % 0.059 % 589.94 3.13
Mar 23rd 4,474 25.0 % 9 21 4,444 0.2 % 0.5 % 0.05 % 499.60 2.35
Mar 22nd 3,580 27.2 % 9 16 3,555 0.3 % 0.4 % 0.04 % 399.77 1.79
Mar 21st 2,814 17.8 % 9 8 2,797 0.3 % 0.3 % 0.031 % 314.23 0.89
Mar 20th 2,388 18.6 % 9 6 2,373 0.4 % 0.3 % 0.027 % 266.66 0.67
Mar 19th 2,013 22.3 % 9 6 1,998 0.4 % 0.3 % 0.022 % 224.79 0.67
Mar 18th 1,646 23.6 % 9 4 1,633 0.5 % 0.2 % 0.018 % 183.81 0.45
Mar 17th 1,332 30.8 % 1 3 1,328 0.1 % 0.2 % 0.015 % 148.74 0.34
Mar 16th 1,018 18.4 % 6 3 1,009 0.6 % 0.3 % 0.011 % 113.68 0.34
Mar 15th 860 31.3 % 6 1 853 0.7 % 0.1 % 0.0096 % 96.03 0.11
Mar 14th 655 30.0 % 6 1 648 0.9 % 0.2 % 0.0073 % 73.14 0.11
Mar 13th 504 66.9 % 6 1 497 1.2 % 0.2 % 0.0056 % 56.28 0.11
Mar 12th 302 22.8 % 4 1 297 1.3 % 0.3 % 0.0034 % 33.72 0.11
Mar 11th 246 35.2 % 4 0 242 1.6 % 0.0 % 0.0027 % 27.47 0.00
Mar 10th 182 38.9 % 4 0 178 2.2 % 0.0 % 0.002 % 20.32 0.00
Mar 9th 131 26.0 % 2 0 129 1.5 % 0.0 % 0.0015 % 14.63 0.00
Mar 8th 104 31.6 % 0 0 104 0.0 % 0.0 % 0.0012 % 11.61 0.00
Mar 7th 79 43.6 % 0 0 79 0.0 % 0.0 % < 0.001 % 8.82 0.00
Mar 6th 55 34.1 % 0 0 55 0.0 % 0.0 % < 0.001 % 6.14 0.00
Mar 5th 41 41.4 % 0 0 41 0.0 % 0.0 % < 0.001 % 4.58 0.00
Mar 4th 29 38.1 % 0 0 29 0.0 % 0.0 % < 0.001 % 3.24 0.00
Mar 3rd 21 16.7 % 0 0 21 0.0 % 0.0 % < 0.001 % 2.35 0.00
Mar 2nd 18 28.6 % 0 0 18 0.0 % 0.0 % < 0.001 % 2.01 0.00
Mar 1st 14 55.6 % 0 0 14 0.0 % 0.0 % < 0.001 % 1.56 0.00
Feb 29th 9 200.0 % 0 0 9 0.0 % 0.0 % < 0.001 % 1.01 0.00
Feb 28th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.34 0.00
Feb 27th 3 50.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.34 0.00
Feb 26th 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.22 0.00
Feb 25th 2 0 0 2 0.0 % 0.0 % < 0.001 % 0.22 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.