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

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 Angola 48.70 2015
2 Central African Republic 42.60 2015
3 Guinea-Bissau 39.70 2015
3 Somalia 39.70 2015
5 Chad 39.30 2015
6 Côte d'Ivoire 37.90 2015
7 Mali 37.80 2015
8 Mauritania 35.70 2015
9 Sierra Leone 34.90 2015
10 Nigeria 34.30 2015
11 Comoros 34.00 2015
12 Djibouti 33.40 2015
13 Equatorial Guinea 33.10 2015
14 Lesotho 32.70 2015
15 Benin 31.80 2015
16 Guinea 31.30 2015
17 Dem. Rep. Congo 30.10 2015
18 The Gambia 29.90 2015
19 Sudan 29.80 2015
20 Burundi 28.60 2015
21 Ghana 28.30 2015
22 Ethiopia 27.70 2015
23 Mozambique 27.10 2015
24 Niger 26.80 2015
25 Burkina Faso 26.70 2015
25 Togo 26.70 2015
27 Cameroon 25.70 2015
28 Liberia 24.10 2015
29 Zimbabwe 23.50 2015
30 Gabon 23.20 2015
31 Kenya 22.20 2015
32 Botswana 21.90 2015
33 Malawi 21.80 2015
34 Zambia 21.40 2015
35 Senegal 20.80 2015
36 Madagascar 19.70 2015
37 Tanzania 18.80 2015
38 Rwanda 18.70 2015
38 Uganda 18.70 2015
40 Eritrea 18.40 2015
41 Congo 18.00 2015
42 Morocco 17.60 2015
43 São Tomé and Principe 17.10 2015
44 Namibia 15.90 2015
45 Algeria 15.50 2015
46 Swaziland 14.20 2015
47 Egypt 12.80 2015
48 Cabo Verde 12.20 2015
49 South Africa 11.00 2015
50 Seychelles 8.60 2015
51 Mauritius 8.40 2015
52 Tunisia 8.20 2015
53 Libya 7.20 2015

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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 under-five mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparison across countries and over time difficult. To make neonatal, infant, and under-five mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the United Nations Population Division, the World Bank, 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 local regression model of mortality rates against their reference dates. Neonatal, infant, and under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality rates capture the effect of gender discrimination better than neonatal and infant mortality rates do. Where female child mortality is higher, girls probably have unequal access to resources.

Aggregation method: Weighted average

Periodicity: Annual