Nigeria - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Nigeria was 113.80 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 325.20 in 1964 and a minimum value of 113.80 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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:

Year Value
1964 325.20
1965 318.10
1966 312.00
1967 305.50
1968 298.90
1969 291.80
1970 284.40
1971 276.60
1972 268.70
1973 260.30
1974 252.00
1975 243.80
1976 236.00
1977 228.90
1978 222.60
1979 217.30
1980 213.00
1981 209.90
1982 208.00
1983 207.20
1984 207.30
1985 207.90
1986 208.80
1987 209.60
1988 210.20
1989 210.30
1990 210.00
1991 209.50
1992 208.70
1993 207.70
1994 206.30
1995 204.20
1996 201.50
1997 197.80
1998 193.30
1999 188.20
2000 182.90
2001 177.30
2002 171.50
2003 165.90
2004 160.30
2005 155.00
2006 150.10
2007 145.60
2008 141.70
2009 138.30
2010 135.50
2011 133.10
2012 131.10
2013 129.40
2014 127.90
2015 126.40
2016 124.70
2017 122.50
2018 119.90
2019 116.90
2020 113.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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

Classification

Topic: Health Indicators

Sub-Topic: Mortality