Coronavirus in the Gambia

Affected Population

0.0011 %

This is the part of confirmed infection cases against the total 2 million of its population.

Affected 0.011 per 1000 people
Died 0.00043 per 1000 people

Recovery Pie

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

Raw Numbers on May 31, 2020

25confirmed0

20recovered0

1fatal0

4active0

Daily Flow

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

As there is no monthly data available in the Gambia, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.

Weekly Levels

This graph draws the number of deaths in the Gambia 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 the Gambia 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 the Gambia 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
May 31 25 0.0 % 20 1 4 80.0 % 4.0 % 0.0011 % 0.011 0.00043
May 30 25 0.0 % 20 1 4 80.0 % 4.0 % 0.0011 % 0.011 0.00043
May 29 25 0.0 % 20 1 4 80.0 % 4.0 % 0.0011 % 0.011 0.00043
May 28 25 0.0 % 19 1 5 76.0 % 4.0 % 0.0011 % 0.011 0.00043
May 27 25 0.0 % 19 1 5 76.0 % 4.0 % 0.0011 % 0.011 0.00043
May 26 25 0.0 % 18 1 6 72.0 % 4.0 % 0.0011 % 0.011 0.00043
May 25 25 0.0 % 17 1 7 68.0 % 4.0 % 0.0011 % 0.011 0.00043
May 24 25 0.0 % 13 1 11 52.0 % 4.0 % 0.0011 % 0.011 0.00043
May 23 25 0.0 % 13 1 11 52.0 % 4.0 % 0.0011 % 0.011 0.00043
May 22 25 4.2 % 13 1 11 52.0 % 4.0 % 0.0011 % 0.011 0.00043
May 21 24 0.0 % 13 1 10 54.2 % 4.2 % 0.001 % 0.010 0.00043
May 20 24 0.0 % 13 1 10 54.2 % 4.2 % 0.001 % 0.010 0.00043
May 19 24 0.0 % 13 1 10 54.2 % 4.2 % 0.001 % 0.010 0.00043
May 18 24 4.3 % 13 1 10 54.2 % 4.2 % 0.001 % 0.010 0.00043
May 17 23 0.0 % 12 1 10 52.2 % 4.3 % < 0.001 % 0.0098 0.00043
May 16 23 0.0 % 12 1 10 52.2 % 4.3 % < 0.001 % 0.0098 0.00043
May 15 23 0.0 % 10 1 12 43.5 % 4.3 % < 0.001 % 0.0098 0.00043
May 14 23 0.0 % 10 1 12 43.5 % 4.3 % < 0.001 % 0.0098 0.00043
May 13 23 4.5 % 10 1 12 43.5 % 4.3 % < 0.001 % 0.0098 0.00043
May 12 22 0.0 % 10 1 11 45.5 % 4.5 % < 0.001 % 0.0094 0.00043
May 11 22 10.0 % 10 1 11 45.5 % 4.5 % < 0.001 % 0.0094 0.00043
May 10 20 0.0 % 9 1 10 45.0 % 5.0 % < 0.001 % 0.0085 0.00043
May 9 20 0.0 % 9 1 10 45.0 % 5.0 % < 0.001 % 0.0085 0.00043
May 8 20 11.1 % 9 1 10 45.0 % 5.0 % < 0.001 % 0.0085 0.00043
May 7 18 5.9 % 9 1 8 50.0 % 5.6 % < 0.001 % 0.0077 0.00043
May 6 17 0.0 % 9 1 7 52.9 % 5.9 % < 0.001 % 0.0072 0.00043
May 5 17 0.0 % 9 1 7 52.9 % 5.9 % < 0.001 % 0.0072 0.00043
May 4 17 0.0 % 9 1 7 52.9 % 5.9 % < 0.001 % 0.0072 0.00043
May 3 17 0.0 % 9 1 7 52.9 % 5.9 % < 0.001 % 0.0072 0.00043
May 2 17 41.7 % 9 1 7 52.9 % 5.9 % < 0.001 % 0.0072 0.00043
May 1 12 9.1 % 8 1 3 66.7 % 8.3 % < 0.001 % 0.0051 0.00043
Apr 30 11 10.0 % 8 1 2 72.7 % 9.1 % < 0.001 % 0.0047 0.00043
Apr 29 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 28 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 27 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 26 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 25 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 24 10 0.0 % 8 1 1 80.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 23 10 0.0 % 2 1 7 20.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 22 10 0.0 % 2 1 7 20.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 21 10 0.0 % 2 1 7 20.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 20 10 0.0 % 2 1 7 20.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 19 10 11.1 % 2 1 7 20.0 % 10.0 % < 0.001 % 0.0043 0.00043
Apr 18 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 17 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 16 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 15 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 14 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 13 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 12 9 0.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 11 9 125.0 % 2 1 6 22.2 % 11.1 % < 0.001 % 0.0038 0.00043
Apr 10 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 9 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 8 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 7 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 6 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 5 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 4 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 3 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 2 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Apr 1 4 0.0 % 2 1 1 50.0 % 25.0 % < 0.001 % 0.0017 0.00043
Mar 31 4 0.0 % 0 1 3 0.0 % 25.0 % < 0.001 % 0.0017 0.00043
Mar 30 4 0.0 % 0 1 3 0.0 % 25.0 % < 0.001 % 0.0017 0.00043
Mar 29 4 33.3 % 0 1 3 0.0 % 25.0 % < 0.001 % 0.0017 0.00043
Mar 28 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.0013 0.00043
Mar 27 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.0013 0.00043
Mar 26 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.0013 0.00043
Mar 25 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.0013 0.00043
Mar 24 3 50.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.0013 0.00043
Mar 23 2 100.0 % 0 1 1 0.0 % 50.0 % < 0.001 % 0.00085 0.00043
Mar 22 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 0.00
Mar 21 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 0.00
Mar 20 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 0.00
Mar 19 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 0.00
Mar 18 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 0.00
Mar 17 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.00043 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.