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

The value for Mortality rate, infant, female (per 1,000 live births) in Nigeria was 65.70 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 179.90 in 1964 and a minimum value of 65.70 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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:

Year Value
1964 179.90
1965 176.00
1966 172.20
1967 168.40
1968 164.40
1969 160.30
1970 156.20
1971 151.60
1972 147.10
1973 142.40
1974 137.70
1975 133.10
1976 128.80
1977 124.80
1978 121.50
1979 118.60
1980 116.50
1981 114.80
1982 113.90
1983 113.30
1984 113.10
1985 113.30
1986 113.70
1987 114.00
1988 114.20
1989 114.30
1990 114.00
1991 113.60
1992 113.40
1993 113.10
1994 112.40
1995 111.50
1996 110.10
1997 108.30
1998 105.90
1999 103.40
2000 100.90
2001 97.90
2002 95.00
2003 92.00
2004 89.00
2005 86.10
2006 83.50
2007 81.40
2008 79.60
2009 78.00
2010 76.50
2011 75.40
2012 74.40
2013 73.60
2014 72.80
2015 72.10
2016 71.30
2017 70.10
2018 68.80
2019 67.20
2020 65.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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