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

The value for Mortality rate, under-5, male (per 1,000 live births) in Nigeria was 120.10 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 337.70 in 1964 and a minimum value of 120.10 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 337.70
1965 330.80
1966 324.20
1967 317.60
1968 310.80
1969 303.70
1970 296.20
1971 288.20
1972 279.90
1973 271.60
1974 263.00
1975 254.60
1976 246.70
1977 239.50
1978 233.10
1979 227.60
1980 223.10
1981 219.80
1982 217.80
1983 217.00
1984 217.20
1985 218.00
1986 219.00
1987 220.00
1988 220.60
1989 220.70
1990 220.50
1991 219.80
1992 218.70
1993 217.40
1994 215.80
1995 213.60
1996 210.70
1997 206.90
1998 202.40
1999 197.10
2000 191.40
2001 185.70
2002 180.00
2003 174.40
2004 168.80
2005 163.30
2006 158.30
2007 153.60
2008 149.40
2009 145.80
2010 142.80
2011 140.20
2012 138.20
2013 136.50
2014 134.80
2015 133.20
2016 131.20
2017 129.00
2018 126.30
2019 123.20
2020 120.10

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