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

The value for Mortality rate, infant (per 1,000 live births) in Nigeria was 72.20 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 193.90 in 1964 and a minimum value of 72.20 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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:

Year Value
1964 193.90
1965 189.50
1966 185.70
1967 181.60
1968 177.50
1969 173.20
1970 168.60
1971 163.80
1972 159.00
1973 154.00
1974 149.00
1975 144.10
1976 139.50
1977 135.30
1978 131.50
1979 128.60
1980 126.20
1981 124.50
1982 123.50
1983 123.00
1984 123.10
1985 123.40
1986 123.90
1987 124.40
1988 124.70
1989 124.80
1990 124.60
1991 124.30
1992 123.90
1993 123.30
1994 122.50
1995 121.40
1996 119.90
1997 117.90
1998 115.40
1999 112.70
2000 109.80
2001 106.80
2002 103.80
2003 100.80
2004 97.80
2005 95.00
2006 92.30
2007 89.80
2008 87.70
2009 85.90
2010 84.30
2011 83.00
2012 81.90
2013 81.00
2014 80.10
2015 79.30
2016 78.30
2017 77.10
2018 75.70
2019 74.00
2020 72.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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