Coronavirus in Niger

Affected Population

0.0041 %

This is the part of confirmed infection cases against the total 23 million of its population.

Affected 0.041 per 1000 people
Died 0.0027 per 1000 people

Recovery Pie

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

Raw Numbers on May 25, 2020

951confirmed+6

786recovered+3

62fatal+1

103active+2

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Niger 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 Niger. 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 Niger 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 Niger, 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 Niger 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 Niger 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 Niger 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 25 951 0.6 % 786 62 103 82.6 % 6.5 % 0.0041 % 0.041 0.0027
May 24 945 0.2 % 783 61 101 82.9 % 6.5 % 0.0041 % 0.041 0.0026
May 23 943 0.6 % 775 61 107 82.2 % 6.5 % 0.004 % 0.040 0.0026
May 22 937 1.4 % 764 60 113 81.5 % 6.4 % 0.004 % 0.040 0.0026
May 21 924 0.4 % 753 60 111 81.5 % 6.5 % 0.004 % 0.040 0.0026
May 20 920 0.7 % 738 58 124 80.2 % 6.3 % 0.0039 % 0.039 0.0025
May 19 914 0.6 % 734 55 125 80.3 % 6.0 % 0.0039 % 0.039 0.0024
May 18 909 0.6 % 714 55 140 78.5 % 6.1 % 0.0039 % 0.039 0.0024
May 17 904 1.7 % 698 54 152 77.2 % 6.0 % 0.0039 % 0.039 0.0023
May 16 889 0.5 % 689 51 149 77.5 % 5.7 % 0.0038 % 0.038 0.0022
May 15 885 1.0 % 684 51 150 77.3 % 5.8 % 0.0038 % 0.038 0.0022
May 14 876 1.9 % 677 50 149 77.3 % 5.7 % 0.0038 % 0.038 0.0021
May 13 860 0.7 % 658 49 153 76.5 % 5.7 % 0.0037 % 0.037 0.0021
May 12 854 2.6 % 648 47 159 75.9 % 5.5 % 0.0037 % 0.037 0.0020
May 11 832 1.3 % 637 46 149 76.6 % 5.5 % 0.0036 % 0.036 0.0020
May 10 821 0.7 % 624 46 151 76.0 % 5.6 % 0.0035 % 0.035 0.0020
May 9 815 2.5 % 617 45 153 75.7 % 5.5 % 0.0035 % 0.035 0.0019
May 8 795 1.8 % 600 44 151 75.5 % 5.5 % 0.0034 % 0.034 0.0019
May 7 781 1.4 % 586 42 153 75.0 % 5.4 % 0.0034 % 0.034 0.0018
May 6 770 0.9 % 561 38 171 72.9 % 4.9 % 0.0033 % 0.033 0.0016
May 5 763 1.1 % 543 38 182 71.2 % 5.0 % 0.0033 % 0.033 0.0016
May 4 755 0.7 % 534 37 184 70.7 % 4.9 % 0.0032 % 0.032 0.0016
May 3 750 1.9 % 518 36 196 69.1 % 4.8 % 0.0032 % 0.032 0.0015
May 2 736 1.1 % 507 35 194 68.9 % 4.8 % 0.0032 % 0.032 0.0015
May 1 728 1.3 % 478 33 217 65.7 % 4.5 % 0.0031 % 0.031 0.0014
Apr 30 719 0.8 % 452 32 235 62.9 % 4.5 % 0.0031 % 0.031 0.0014
Apr 29 713 0.6 % 435 32 246 61.0 % 4.5 % 0.0031 % 0.031 0.0014
Apr 28 709 1.1 % 403 31 275 56.8 % 4.4 % 0.003 % 0.030 0.0013
Apr 27 701 0.7 % 385 29 287 54.9 % 4.1 % 0.003 % 0.030 0.0012
Apr 26 696 1.8 % 350 29 317 50.3 % 4.2 % 0.003 % 0.030 0.0012
Apr 25 684 0.4 % 325 27 332 47.5 % 3.9 % 0.0029 % 0.029 0.0012
Apr 24 681 1.5 % 289 24 368 42.4 % 3.5 % 0.0029 % 0.029 0.0010
Apr 23 671 1.4 % 256 24 391 38.2 % 3.6 % 0.0029 % 0.029 0.0010
Apr 22 662 0.8 % 193 22 447 29.2 % 3.3 % 0.0028 % 0.028 0.00094
Apr 21 657 1.4 % 127 20 510 19.3 % 3.0 % 0.0028 % 0.028 0.00086
Apr 20 648 0.0 % 117 20 511 18.1 % 3.1 % 0.0028 % 0.028 0.00086
Apr 19 648 1.4 % 117 20 511 18.1 % 3.1 % 0.0028 % 0.028 0.00086
Apr 18 639 1.9 % 113 19 507 17.7 % 3.0 % 0.0027 % 0.027 0.00082
Apr 17 627 7.4 % 110 18 499 17.5 % 2.9 % 0.0027 % 0.027 0.00077
Apr 16 584 0.0 % 90 14 480 15.4 % 2.4 % 0.0025 % 0.025 0.00060
Apr 15 584 2.5 % 90 14 480 15.4 % 2.4 % 0.0025 % 0.025 0.00060
Apr 14 570 7.8 % 90 14 466 15.8 % 2.5 % 0.0024 % 0.024 0.00060
Apr 13 529 0.0 % 75 12 442 14.2 % 2.3 % 0.0023 % 0.023 0.00051
Apr 12 529 7.7 % 75 12 442 14.2 % 2.3 % 0.0023 % 0.023 0.00051
Apr 11 491 12.1 % 41 11 439 8.4 % 2.2 % 0.0021 % 0.021 0.00047
Apr 10 438 6.8 % 41 11 386 9.4 % 2.5 % 0.0019 % 0.019 0.00047
Apr 9 410 19.9 % 40 11 359 9.8 % 2.7 % 0.0018 % 0.018 0.00047
Apr 8 342 23.0 % 28 11 303 8.2 % 3.2 % 0.0015 % 0.015 0.00047
Apr 7 278 9.9 % 26 11 241 9.4 % 4.0 % 0.0012 % 0.012 0.00047
Apr 6 253 37.5 % 26 10 217 10.3 % 4.0 % 0.0011 % 0.011 0.00043
Apr 5 184 27.8 % 13 10 161 7.1 % 5.4 % < 0.001 % 0.0079 0.00043
Apr 4 144 20.0 % 0 8 136 0.0 % 5.6 % < 0.001 % 0.0062 0.00034
Apr 3 120 22.4 % 0 5 115 0.0 % 4.2 % < 0.001 % 0.0051 0.00021
Apr 2 98 32.4 % 0 5 93 0.0 % 5.1 % < 0.001 % 0.0042 0.00021
Apr 1 74 174.1 % 0 5 69 0.0 % 6.8 % < 0.001 % 0.0032 0.00021
Mar 31 27 0.0 % 0 3 24 0.0 % 11.1 % < 0.001 % 0.0012 0.00013
Mar 30 27 50.0 % 0 3 24 0.0 % 11.1 % < 0.001 % 0.0012 0.00013
Mar 29 18 80.0 % 0 1 17 0.0 % 5.6 % < 0.001 % 0.00077 0.00
Mar 28 10 0.0 % 0 1 9 0.0 % 10.0 % < 0.001 % 0.00043 0.00
Mar 27 10 0.0 % 0 1 9 0.0 % 10.0 % < 0.001 % 0.00043 0.00
Mar 26 10 42.9 % 0 1 9 0.0 % 10.0 % < 0.001 % 0.00043 0.00
Mar 25 7 133.3 % 0 1 6 0.0 % 14.3 % < 0.001 % 0.00030 0.00
Mar 24 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.00013 0.00
Mar 23 3 50.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.00013 0.00
Mar 22 2 100.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.00 0.00
Mar 21 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 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.