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

The value for Mortality rate, infant, male (per 1,000 live births) in Nigeria was 78.60 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 207.30 in 1964 and a minimum value of 78.60 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 207.30
1965 202.70
1966 198.50
1967 194.30
1968 189.80
1969 185.30
1970 180.60
1971 175.50
1972 170.20
1973 164.90
1974 159.70
1975 154.50
1976 149.60
1977 145.30
1978 141.40
1979 138.10
1980 135.60
1981 133.80
1982 132.70
1983 132.30
1984 132.50
1985 133.00
1986 133.50
1987 134.20
1988 134.50
1989 134.60
1990 134.60
1991 134.40
1992 133.80
1993 133.10
1994 132.20
1995 130.90
1996 129.20
1997 127.00
1998 124.60
1999 121.60
2000 118.40
2001 115.30
2002 112.20
2003 109.20
2004 106.30
2005 103.30
2006 100.50
2007 97.80
2008 95.40
2009 93.40
2010 91.70
2011 90.30
2012 89.00
2013 88.00
2014 87.00
2015 86.10
2016 85.00
2017 83.70
2018 82.20
2019 80.40
2020 78.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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