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

The value for Mortality rate, under-5, female (per 1,000 live births) in Nigeria was 107.30 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 311.90 in 1964 and a minimum value of 107.30 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 311.90
1965 305.50
1966 299.00
1967 292.90
1968 286.30
1969 279.40
1970 272.10
1971 264.50
1972 256.50
1973 248.30
1974 240.10
1975 232.30
1976 224.80
1977 217.80
1978 211.80
1979 206.50
1980 202.40
1981 199.50
1982 197.70
1983 196.90
1984 196.90
1985 197.40
1986 198.10
1987 198.60
1988 199.20
1989 199.30
1990 199.10
1991 198.70
1992 198.20
1993 197.40
1994 196.20
1995 194.50
1996 191.80
1997 188.30
1998 183.70
1999 179.00
2000 173.90
2001 168.40
2002 162.80
2003 157.00
2004 151.50
2005 146.30
2006 141.30
2007 137.20
2008 133.60
2009 130.40
2010 127.80
2011 125.60
2012 123.60
2013 122.10
2014 120.70
2015 119.30
2016 117.90
2017 115.70
2018 113.10
2019 110.20
2020 107.30

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