Mortality rate, infant, male (per 1,000 live births) - Country Ranking - Africa

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Sierra Leone 86.40 2020
2 Central African Republic 83.70 2020
3 Nigeria 78.60 2020
4 Somalia 78.10 2020
5 Lesotho 76.60 2020
6 Chad 73.50 2020
7 Dem. Rep. Congo 69.50 2020
8 Guinea 67.80 2020
9 Côte d'Ivoire 64.50 2020
10 Mali 64.00 2020
11 Equatorial Guinea 63.70 2020
12 Liberia 63.60 2020
13 Benin 61.90 2020
14 Burkina Faso 57.50 2020
15 Guinea-Bissau 56.90 2020
16 Mozambique 56.70 2020
17 Mauritania 54.10 2020
18 Angola 53.40 2020
19 Cameroon 53.20 2020
20 Comoros 51.60 2020
21 Djibouti 51.40 2020
22 Niger 49.80 2020
23 Togo 48.60 2020
24 Zambia 45.30 2020
25 Sudan 44.30 2020
26 Burundi 42.80 2020
27 Zimbabwe 42.00 2020
28 Eswatini 41.40 2020
29 Ethiopia 40.20 2020
30 Madagascar 40.00 2020
31 Botswana 39.50 2020
32 The Gambia 38.90 2020
33 Tanzania 37.70 2020
34 Ghana 36.60 2020
35 Congo 36.40 2020
36 Uganda 35.10 2020
37 Gabon 34.30 2020
37 Kenya 34.30 2020
39 Eritrea 33.80 2020
40 Namibia 33.20 2020
40 Rwanda 33.20 2020
42 Malawi 32.30 2020
43 Senegal 32.10 2020
44 South Africa 27.80 2020
45 Algeria 20.70 2020
46 Egypt 17.80 2020
47 Morocco 17.70 2020
48 Mauritius 16.40 2020
49 Tunisia 15.60 2020
50 São Tomé and Principe 14.10 2020
51 Cabo Verde 13.40 2020
52 Seychelles 12.80 2020
53 Libya 10.50 2020

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac