Coronavirus in Nepal

Affected Population

0.0024 %

This is the part of confirmed infection cases against the total 29 million of its population.

Affected 0.024 per 1000 people
Died 0.00014 per 1000 people

Recovery Pie

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

Raw Numbers on May 25, 2020

682confirmed+79

112recovered+25

4fatal+1

566active+53

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Nepal 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 Nepal. 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 Nepal 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 Nepal, 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 Nepal 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 Nepal 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 Nepal 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 25 682 13.1 % 112 4 566 16.4 % 0.6 % 0.0024 % 0.024 0.00014
May 24 603 3.3 % 87 3 513 14.4 % 0.5 % 0.0021 % 0.021 0.00010
May 23 584 13.2 % 70 3 511 12.0 % 0.5 % 0.002 % 0.020 0.00010
May 22 516 12.9 % 70 3 443 13.6 % 0.6 % 0.0018 % 0.018 0.00010
May 21 457 7.0 % 49 3 405 10.7 % 0.7 % 0.0016 % 0.016 0.00010
May 20 427 6.2 % 45 2 380 10.5 % 0.5 % 0.0015 % 0.015 0.00
May 19 402 7.2 % 37 2 363 9.2 % 0.5 % 0.0014 % 0.014 0.00
May 18 375 27.1 % 36 2 337 9.6 % 0.5 % 0.0013 % 0.013 0.00
May 17 295 1.4 % 36 2 257 12.2 % 0.7 % 0.001 % 0.010 0.00
May 16 291 9.0 % 36 1 254 12.4 % 0.3 % 0.001 % 0.010 0.00
May 15 267 7.2 % 36 0 231 13.5 % 0.0 % < 0.001 % 0.0093 0.00
May 14 249 -0.4 % 35 0 214 14.1 % 0.0 % < 0.001 % 0.0087 0.00
May 13 250 15.2 % 35 0 215 14.0 % 0.0 % < 0.001 % 0.0087 0.00
May 12 217 61.9 % 33 0 184 15.2 % 0.0 % < 0.001 % 0.0076 0.00
May 11 134 21.8 % 33 0 101 24.6 % 0.0 % < 0.001 % 0.0047 0.00
May 10 110 0.0 % 31 0 79 28.2 % 0.0 % < 0.001 % 0.0038 0.00
May 9 110 7.8 % 31 0 79 28.2 % 0.0 % < 0.001 % 0.0038 0.00
May 8 102 1.0 % 31 0 71 30.4 % 0.0 % < 0.001 % 0.0036 0.00
May 7 101 2.0 % 22 0 79 21.8 % 0.0 % < 0.001 % 0.0035 0.00
May 6 99 20.7 % 22 0 77 22.2 % 0.0 % < 0.001 % 0.0035 0.00
May 5 82 9.3 % 16 0 66 19.5 % 0.0 % < 0.001 % 0.0029 0.00
May 4 75 0.0 % 16 0 59 21.3 % 0.0 % < 0.001 % 0.0026 0.00
May 3 75 27.1 % 16 0 59 21.3 % 0.0 % < 0.001 % 0.0026 0.00
May 2 59 0.0 % 16 0 43 27.1 % 0.0 % < 0.001 % 0.0021 0.00
May 1 59 3.5 % 16 0 43 27.1 % 0.0 % < 0.001 % 0.0021 0.00
Apr 30 57 0.0 % 16 0 41 28.1 % 0.0 % < 0.001 % 0.0020 0.00
Apr 29 57 5.6 % 16 0 41 28.1 % 0.0 % < 0.001 % 0.0020 0.00
Apr 28 54 3.8 % 16 0 38 29.6 % 0.0 % < 0.001 % 0.0019 0.00
Apr 27 52 0.0 % 16 0 36 30.8 % 0.0 % < 0.001 % 0.0018 0.00
Apr 26 52 6.1 % 16 0 36 30.8 % 0.0 % < 0.001 % 0.0018 0.00
Apr 25 49 0.0 % 12 0 37 24.5 % 0.0 % < 0.001 % 0.0017 0.00
Apr 24 49 2.1 % 11 0 38 22.4 % 0.0 % < 0.001 % 0.0017 0.00
Apr 23 48 6.7 % 10 0 38 20.8 % 0.0 % < 0.001 % 0.0017 0.00
Apr 22 45 4.7 % 7 0 38 15.6 % 0.0 % < 0.001 % 0.0016 0.00
Apr 21 43 38.7 % 4 0 39 9.3 % 0.0 % < 0.001 % 0.0015 0.00
Apr 20 31 0.0 % 4 0 27 12.9 % 0.0 % < 0.001 % 0.0011 0.00
Apr 19 31 0.0 % 4 0 27 12.9 % 0.0 % < 0.001 % 0.0011 0.00
Apr 18 31 3.3 % 2 0 29 6.5 % 0.0 % < 0.001 % 0.0011 0.00
Apr 17 30 87.5 % 2 0 28 6.7 % 0.0 % < 0.001 % 0.0010 0.00
Apr 16 16 0.0 % 2 0 14 12.5 % 0.0 % < 0.001 % 0.00056 0.00
Apr 15 16 0.0 % 1 0 15 6.3 % 0.0 % < 0.001 % 0.00056 0.00
Apr 14 16 14.3 % 1 0 15 6.3 % 0.0 % < 0.001 % 0.00056 0.00
Apr 13 14 16.7 % 1 0 13 7.1 % 0.0 % < 0.001 % 0.00049 0.00
Apr 12 12 33.3 % 1 0 11 8.3 % 0.0 % < 0.001 % 0.00042 0.00
Apr 11 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 10 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 9 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 8 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 7 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 6 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 5 9 0.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 4 9 50.0 % 1 0 8 11.1 % 0.0 % < 0.001 % 0.00031 0.00
Apr 3 6 0.0 % 1 0 5 16.7 % 0.0 % < 0.001 % 0.00021 0.00
Apr 2 6 20.0 % 1 0 5 16.7 % 0.0 % < 0.001 % 0.00021 0.00
Apr 1 5 0.0 % 1 0 4 20.0 % 0.0 % < 0.001 % 0.00017 0.00
Mar 31 5 0.0 % 1 0 4 20.0 % 0.0 % < 0.001 % 0.00017 0.00
Mar 30 5 0.0 % 1 0 4 20.0 % 0.0 % < 0.001 % 0.00017 0.00
Mar 29 5 0.0 % 1 0 4 20.0 % 0.0 % < 0.001 % 0.00017 0.00
Mar 28 5 25.0 % 1 0 4 20.0 % 0.0 % < 0.001 % 0.00017 0.00
Mar 27 4 33.3 % 1 0 3 25.0 % 0.0 % < 0.001 % 0.00014 0.00
Mar 26 3 0.0 % 1 0 2 33.3 % 0.0 % < 0.001 % 0.00010 0.00
Mar 25 3 50.0 % 1 0 2 33.3 % 0.0 % < 0.001 % 0.00010 0.00
Mar 24 2 0.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 23 2 100.0 % 1 0 1 50.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 22 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 21 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 20 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 19 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 18 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 17 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 16 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 15 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 14 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 13 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 12 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 11 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 10 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 9 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 8 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 7 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 6 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 5 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 4 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 3 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 2 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 1 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 29 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 28 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 27 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 26 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 25 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 24 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 23 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 22 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 21 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 20 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 19 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 18 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 17 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 16 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 15 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 14 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 13 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 12 1 0.0 % 1 0 0 100.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 11 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 10 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 9 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 8 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 7 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 6 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 5 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 4 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 3 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 2 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 1 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 31 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 30 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 29 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 28 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 27 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 26 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 25 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.