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

The value for Mortality rate, under-5, male (per 1,000 live births) in Benin was 91.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 321.90 in 1960 and a minimum value of 91.60 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
1960 321.90
1961 317.00
1962 312.00
1963 306.90
1964 301.60
1965 296.30
1966 291.10
1967 286.10
1968 281.40
1969 276.70
1970 272.20
1971 267.40
1972 262.70
1973 257.80
1974 252.70
1975 247.60
1976 242.30
1977 237.10
1978 232.10
1979 227.50
1980 222.90
1981 218.50
1982 214.20
1983 210.10
1984 206.00
1985 201.80
1986 197.40
1987 193.20
1988 188.90
1989 184.50
1990 180.20
1991 175.80
1992 171.50
1993 167.20
1994 163.20
1995 159.40
1996 155.90
1997 152.40
1998 149.10
1999 146.00
2000 143.00
2001 139.90
2002 136.80
2003 133.70
2004 130.60
2005 127.80
2006 125.10
2007 122.40
2008 120.00
2009 117.80
2010 115.40
2011 113.20
2012 110.80
2013 108.50
2014 106.20
2015 103.80
2016 101.50
2017 99.20
2018 96.70
2019 94.30
2020 91.60

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