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

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 80.10 2020
2 Central African Republic 77.50 2020
3 Somalia 72.70 2020
4 Nigeria 72.20 2020
5 Lesotho 69.90 2020
6 Chad 67.40 2020
7 Dem. Rep. Congo 63.80 2020
8 Guinea 62.00 2020
9 Mali 58.80 2020
10 Equatorial Guinea 58.30 2020
11 Liberia 58.10 2020
12 Côte d'Ivoire 57.90 2020
13 Benin 56.50 2020
14 Burkina Faso 52.80 2020
14 Mozambique 52.80 2020
16 Guinea-Bissau 51.40 2020
17 Mauritania 49.00 2020
18 Angola 48.30 2020
18 Cameroon 48.30 2020
20 Comoros 47.20 2020
20 Djibouti 47.20 2020
22 Niger 45.60 2020
23 Togo 44.40 2020
24 Zambia 41.70 2020
25 Sudan 39.90 2020
26 Burundi 38.60 2020
27 Zimbabwe 37.90 2020
28 Eswatini 37.40 2020
29 Madagascar 36.30 2020
30 Botswana 36.10 2020
31 Ethiopia 35.40 2020
32 The Gambia 34.70 2020
32 Tanzania 34.70 2020
34 Ghana 33.00 2020
34 Congo 33.00 2020
36 Uganda 31.90 2020
37 Kenya 31.20 2020
38 Gabon 30.70 2020
39 Rwanda 30.30 2020
40 Namibia 30.10 2020
41 Eritrea 29.70 2020
42 Malawi 29.00 2020
43 Senegal 28.90 2020
44 South Africa 25.80 2020
45 Algeria 19.50 2020
46 Egypt 16.60 2020
47 Morocco 16.00 2020
48 Mauritius 14.80 2020
49 Tunisia 14.30 2020
50 São Tomé and Principe 12.70 2020
51 Cabo Verde 12.20 2020
52 Seychelles 12.00 2020
53 Libya 9.50 2020

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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