Coronavirus in Zimbabwe

Affected Population

< 0.001 %

This is the part of confirmed infection cases against the total 15 million of its population.

Affected 0.0038 per 1000 people
Died 0.00027 per 1000 people

Recovery Pie

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

Raw Numbers on May 25, 2020

56confirmed0

25recovered0

4fatal0

27active0

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Zimbabwe 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 Zimbabwe. 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 Zimbabwe 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 Zimbabwe, 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 Zimbabwe 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 Zimbabwe 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 Zimbabwe 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 25 56 0.0 % 25 4 27 44.6 % 7.1 % < 0.001 % 0.0038 0.00027
May 24 56 0.0 % 25 4 27 44.6 % 7.1 % < 0.001 % 0.0038 0.00027
May 23 56 9.8 % 18 4 34 32.1 % 7.1 % < 0.001 % 0.0038 0.00027
May 22 51 0.0 % 18 4 29 35.3 % 7.8 % < 0.001 % 0.0035 0.00027
May 21 51 6.3 % 18 4 29 35.3 % 7.8 % < 0.001 % 0.0035 0.00027
May 20 48 4.3 % 18 4 26 37.5 % 8.3 % < 0.001 % 0.0033 0.00027
May 19 46 0.0 % 18 4 24 39.1 % 8.7 % < 0.001 % 0.0031 0.00027
May 18 46 4.5 % 18 4 24 39.1 % 8.7 % < 0.001 % 0.0031 0.00027
May 17 44 4.8 % 17 4 23 38.6 % 9.1 % < 0.001 % 0.0030 0.00027
May 16 42 0.0 % 13 4 25 31.0 % 9.5 % < 0.001 % 0.0029 0.00027
May 15 42 13.5 % 13 4 25 31.0 % 9.5 % < 0.001 % 0.0029 0.00027
May 14 37 0.0 % 13 4 20 35.1 % 10.8 % < 0.001 % 0.0025 0.00027
May 13 37 2.8 % 12 4 21 32.4 % 10.8 % < 0.001 % 0.0025 0.00027
May 12 36 0.0 % 9 4 23 25.0 % 11.1 % < 0.001 % 0.0025 0.00027
May 11 36 0.0 % 9 4 23 25.0 % 11.1 % < 0.001 % 0.0025 0.00027
May 10 36 2.9 % 9 4 23 25.0 % 11.1 % < 0.001 % 0.0025 0.00027
May 9 35 2.9 % 9 4 22 25.7 % 11.4 % < 0.001 % 0.0024 0.00027
May 8 34 0.0 % 9 4 21 26.5 % 11.8 % < 0.001 % 0.0023 0.00027
May 7 34 0.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 6 34 0.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 5 34 0.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 4 34 0.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 3 34 0.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 2 34 -15.0 % 5 4 25 14.7 % 11.8 % < 0.001 % 0.0023 0.00027
May 1 40 0.0 % 5 4 31 12.5 % 10.0 % < 0.001 % 0.0027 0.00027
Apr 30 40 25.0 % 5 4 31 12.5 % 10.0 % < 0.001 % 0.0027 0.00027
Apr 29 32 0.0 % 5 4 23 15.6 % 12.5 % < 0.001 % 0.0022 0.00027
Apr 28 32 0.0 % 5 4 23 15.6 % 12.5 % < 0.001 % 0.0022 0.00027
Apr 27 32 3.2 % 5 4 23 15.6 % 12.5 % < 0.001 % 0.0022 0.00027
Apr 26 31 0.0 % 2 4 25 6.5 % 12.9 % < 0.001 % 0.0021 0.00027
Apr 25 31 6.9 % 2 4 25 6.5 % 12.9 % < 0.001 % 0.0021 0.00027
Apr 24 29 3.6 % 2 4 23 6.9 % 13.8 % < 0.001 % 0.0020 0.00027
Apr 23 28 0.0 % 2 4 22 7.1 % 14.3 % < 0.001 % 0.0019 0.00027
Apr 22 28 0.0 % 2 4 22 7.1 % 14.3 % < 0.001 % 0.0019 0.00027
Apr 21 28 12.0 % 2 3 23 7.1 % 10.7 % < 0.001 % 0.0019 0.00020
Apr 20 25 0.0 % 2 3 20 8.0 % 12.0 % < 0.001 % 0.0017 0.00020
Apr 19 25 0.0 % 2 3 20 8.0 % 12.0 % < 0.001 % 0.0017 0.00020
Apr 18 25 4.2 % 2 3 20 8.0 % 12.0 % < 0.001 % 0.0017 0.00020
Apr 17 24 4.3 % 2 3 19 8.3 % 12.5 % < 0.001 % 0.0016 0.00020
Apr 16 23 0.0 % 1 3 19 4.3 % 13.0 % < 0.001 % 0.0016 0.00020
Apr 15 23 35.3 % 1 3 19 4.3 % 13.0 % < 0.001 % 0.0016 0.00020
Apr 14 17 0.0 % 0 3 14 0.0 % 17.6 % < 0.001 % 0.0012 0.00020
Apr 13 17 21.4 % 0 3 14 0.0 % 17.6 % < 0.001 % 0.0012 0.00020
Apr 12 14 0.0 % 0 3 11 0.0 % 21.4 % < 0.001 % 0.00096 0.00020
Apr 11 14 7.7 % 0 3 11 0.0 % 21.4 % < 0.001 % 0.00096 0.00020
Apr 10 13 18.2 % 0 3 10 0.0 % 23.1 % < 0.001 % 0.00089 0.00020
Apr 9 11 0.0 % 0 3 8 0.0 % 27.3 % < 0.001 % 0.00075 0.00020
Apr 8 11 0.0 % 0 3 8 0.0 % 27.3 % < 0.001 % 0.00075 0.00020
Apr 7 11 10.0 % 0 2 9 0.0 % 18.2 % < 0.001 % 0.00075 0.00014
Apr 6 10 11.1 % 0 1 9 0.0 % 10.0 % < 0.001 % 0.00068 0.00
Apr 5 9 0.0 % 0 1 8 0.0 % 11.1 % < 0.001 % 0.00061 0.00
Apr 4 9 0.0 % 0 1 8 0.0 % 11.1 % < 0.001 % 0.00061 0.00
Apr 3 9 0.0 % 0 1 8 0.0 % 11.1 % < 0.001 % 0.00061 0.00
Apr 2 9 12.5 % 0 1 8 0.0 % 11.1 % < 0.001 % 0.00061 0.00
Apr 1 8 0.0 % 0 1 7 0.0 % 12.5 % < 0.001 % 0.00055 0.00
Mar 31 8 14.3 % 0 1 7 0.0 % 12.5 % < 0.001 % 0.00055 0.00
Mar 30 7 0.0 % 0 1 6 0.0 % 14.3 % < 0.001 % 0.00048 0.00
Mar 29 7 0.0 % 0 1 6 0.0 % 14.3 % < 0.001 % 0.00048 0.00
Mar 28 7 40.0 % 0 1 6 0.0 % 14.3 % < 0.001 % 0.00048 0.00
Mar 27 5 66.7 % 0 1 4 0.0 % 20.0 % < 0.001 % 0.00034 0.00
Mar 26 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.00020 0.00
Mar 25 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.00020 0.00
Mar 24 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.00020 0.00
Mar 23 3 0.0 % 0 1 2 0.0 % 33.3 % < 0.001 % 0.00020 0.00
Mar 22 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.00020 0.00
Mar 21 3 200.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.00020 0.00
Mar 20 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 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.