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Coronavirus in South Korea

Affected Population

0.02 %

This is the part of confirmed infection cases against the total 51 million of its population.

Affected 1 of every 4,981
Failed to recover 1 of every 275,405

Recovery Pie

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

Raw Numbers on April 6th, 2020

10,284confirmed+47

6,598recovered+135

186failed+3

3,500active−91

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in South Korea 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 South Korea. 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 South Korea 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 South Korea connected to the COVID-19 infection aggregated by weeks of 2020.

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 10,284 0.5 % 6,598 186 3,500 64.2 % 1.8 % 0.02 % 200.76 3.63
Apr 5th 10,237 0.8 % 6,463 183 3,591 63.1 % 1.8 % 0.02 % 199.84 3.57
Apr 4th 10,156 0.9 % 6,325 177 3,654 62.3 % 1.7 % 0.02 % 198.26 3.46
Apr 3rd 10,062 0.9 % 6,021 174 3,867 59.8 % 1.7 % 0.02 % 196.43 3.40
Apr 2nd 9,976 0.9 % 5,828 169 3,979 58.4 % 1.7 % 0.019 % 194.75 3.30
Apr 1st 9,887 1.0 % 5,567 165 4,155 56.3 % 1.7 % 0.019 % 193.01 3.22
Mar 31st 9,786 1.3 % 5,408 162 4,216 55.3 % 1.7 % 0.019 % 191.04 3.16
Mar 30th 9,661 0.8 % 5,228 158 4,275 54.1 % 1.6 % 0.019 % 188.60 3.08
Mar 29th 9,583 1.1 % 5,033 152 4,398 52.5 % 1.6 % 0.019 % 187.08 2.97
Mar 28th 9,478 1.6 % 4,811 144 4,523 50.8 % 1.5 % 0.019 % 185.03 2.81
Mar 27th 9,332 1.0 % 4,528 139 4,665 48.5 % 1.5 % 0.018 % 182.18 2.71
Mar 26th 9,241 1.1 % 4,144 131 4,966 44.8 % 1.4 % 0.018 % 180.40 2.56
Mar 25th 9,137 1.1 % 3,730 126 5,281 40.8 % 1.4 % 0.018 % 178.37 2.46
Mar 24th 9,037 0.8 % 3,507 120 5,410 38.8 % 1.3 % 0.018 % 176.42 2.34
Mar 23rd 8,961 0.7 % 3,166 111 5,684 35.3 % 1.2 % 0.017 % 174.93 2.17
Mar 22nd 8,897 1.1 % 2,909 104 5,884 32.7 % 1.2 % 0.017 % 173.68 2.03
Mar 21st 8,799 1.7 % 1,540 102 7,157 17.5 % 1.2 % 0.017 % 171.77 1.99
Mar 20th 8,652 1.0 % 1,540 94 7,018 17.8 % 1.1 % 0.017 % 168.90 1.84
Mar 19th 8,565 1.8 % 1,540 91 6,934 18.0 % 1.1 % 0.017 % 167.20 1.78
Mar 18th 8,413 1.1 % 1,540 84 6,789 18.3 % 1.0 % 0.016 % 164.24 1.64
Mar 17th 8,320 1.0 % 1,407 81 6,832 16.9 % 1.0 % 0.016 % 162.42 1.58
Mar 16th 8,236 0.9 % 1,137 75 7,024 13.8 % 0.9 % 0.016 % 160.78 1.46
Mar 15th 8,162 0.9 % 510 75 7,577 6.2 % 0.9 % 0.016 % 159.34 1.46
Mar 14th 8,086 1.3 % 510 72 7,504 6.3 % 0.9 % 0.016 % 157.85 1.41
Mar 13th 7,979 1.4 % 510 66 7,403 6.4 % 0.8 % 0.016 % 155.76 1.29
Mar 12th 7,869 1.5 % 333 66 7,470 4.2 % 0.8 % 0.015 % 153.62 1.29
Mar 11th 7,755 3.2 % 288 60 7,407 3.7 % 0.8 % 0.015 % 151.39 1.17
Mar 10th 7,513 0.5 % 247 54 7,212 3.3 % 0.7 % 0.015 % 146.67 1.05
Mar 9th 7,478 2.2 % 118 53 7,307 1.6 % 0.7 % 0.015 % 145.98 1.03
Mar 8th 7,314 3.9 % 118 50 7,146 1.6 % 0.7 % 0.014 % 142.78 0.98
Mar 7th 7,041 6.8 % 135 44 6,862 1.9 % 0.6 % 0.014 % 137.45 0.86
Mar 6th 6,593 8.3 % 135 42 6,416 2.0 % 0.6 % 0.013 % 128.71 0.82
Mar 5th 6,088 8.3 % 41 35 6,012 0.7 % 0.6 % 0.012 % 118.85 0.68
Mar 4th 5,621 8.4 % 41 35 5,545 0.7 % 0.6 % 0.011 % 109.73 0.68
Mar 3rd 5,186 19.6 % 30 28 5,128 0.6 % 0.5 % 0.01 % 101.24 0.55
Mar 2nd 4,335 16.0 % 30 28 4,277 0.7 % 0.6 % 0.0085 % 84.63 0.55
Mar 1st 3,736 18.6 % 30 17 3,689 0.8 % 0.5 % 0.0073 % 72.93 0.33
Feb 29th 3,150 34.8 % 27 16 3,107 0.9 % 0.5 % 0.0061 % 61.49 0.31
Feb 28th 2,337 32.3 % 22 13 2,302 0.9 % 0.6 % 0.0046 % 45.62 0.25
Feb 27th 1,766 40.0 % 22 13 1,731 1.2 % 0.7 % 0.0034 % 34.48 0.25
Feb 26th 1,261 29.1 % 22 12 1,227 1.7 % 1.0 % 0.0025 % 24.62 0.23
Feb 25th 977 17.3 % 22 10 945 2.3 % 1.0 % 0.0019 % 19.07 0.20
Feb 24th 833 38.4 % 18 8 807 2.2 % 1.0 % 0.0016 % 16.26 0.16
Feb 23rd 602 39.0 % 18 6 578 3.0 % 1.0 % 0.0012 % 11.75 0.12
Feb 22nd 433 112.3 % 16 2 415 3.7 % 0.5 % < 0.001 % 8.45 0.04
Feb 21st 204 96.2 % 16 2 186 7.8 % 1.0 % < 0.001 % 3.98 0.04
Feb 20th 104 235.5 % 16 1 87 15.4 % 1.0 % < 0.001 % 2.03 0.02
Feb 19th 31 0.0 % 12 0 19 38.7 % 0.0 % < 0.001 % 0.61 0.00
Feb 18th 31 3.3 % 12 0 19 38.7 % 0.0 % < 0.001 % 0.61 0.00
Feb 17th 30 3.4 % 10 0 20 33.3 % 0.0 % < 0.001 % 0.59 0.00
Feb 16th 29 3.6 % 9 0 20 31.0 % 0.0 % < 0.001 % 0.57 0.00
Feb 15th 28 0.0 % 9 0 19 32.1 % 0.0 % < 0.001 % 0.55 0.00
Feb 14th 28 0.0 % 7 0 21 25.0 % 0.0 % < 0.001 % 0.55 0.00
Feb 13th 28 0.0 % 7 0 21 25.0 % 0.0 % < 0.001 % 0.55 0.00
Feb 12th 28 0.0 % 7 0 21 25.0 % 0.0 % < 0.001 % 0.55 0.00
Feb 11th 28 3.7 % 3 0 25 10.7 % 0.0 % < 0.001 % 0.55 0.00
Feb 10th 27 8.0 % 3 0 24 11.1 % 0.0 % < 0.001 % 0.53 0.00
Feb 9th 25 4.2 % 3 0 22 12.0 % 0.0 % < 0.001 % 0.49 0.00
Feb 8th 24 0.0 % 1 0 23 4.2 % 0.0 % < 0.001 % 0.47 0.00
Feb 7th 24 4.3 % 1 0 23 4.2 % 0.0 % < 0.001 % 0.47 0.00
Feb 6th 23 21.1 % 0 0 23 0.0 % 0.0 % < 0.001 % 0.45 0.00
Feb 5th 19 18.8 % 0 0 19 0.0 % 0.0 % < 0.001 % 0.37 0.00
Feb 4th 16 6.7 % 0 0 16 0.0 % 0.0 % < 0.001 % 0.31 0.00
Feb 3rd 15 0.0 % 0 0 15 0.0 % 0.0 % < 0.001 % 0.29 0.00
Feb 2nd 15 25.0 % 0 0 15 0.0 % 0.0 % < 0.001 % 0.29 0.00
Feb 1st 12 9.1 % 0 0 12 0.0 % 0.0 % < 0.001 % 0.23 0.00
Jan 31st 11 175.0 % 0 0 11 0.0 % 0.0 % < 0.001 % 0.21 0.00
Jan 30th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.08 0.00
Jan 29th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.08 0.00
Jan 28th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.08 0.00
Jan 27th 4 33.3 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.08 0.00
Jan 26th 3 50.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.06 0.00
Jan 25th 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.04 0.00
Jan 24th 2 100.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.04 0.00
Jan 23rd 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.02 0.00
Jan 22nd 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.02 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.

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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.