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

The value for Mortality rate, under-5 (per 1,000 live births) in Benin was 85.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 309.90 in 1960 and a minimum value of 85.90 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 309.90
1961 304.90
1962 299.80
1963 294.70
1964 289.60
1965 284.20
1966 279.20
1967 274.30
1968 269.70
1969 265.10
1970 260.50
1971 256.10
1972 251.40
1973 246.60
1974 241.70
1975 236.70
1976 231.60
1977 226.50
1978 221.70
1979 217.10
1980 212.70
1981 208.50
1982 204.50
1983 200.50
1984 196.70
1985 192.80
1986 188.90
1987 185.00
1988 181.00
1989 176.90
1990 172.90
1991 168.90
1992 164.80
1993 160.90
1994 157.10
1995 153.40
1996 150.00
1997 146.60
1998 143.40
1999 140.10
2000 136.80
2001 133.70
2002 130.50
2003 127.40
2004 124.40
2005 121.50
2006 118.80
2007 116.20
2008 113.70
2009 111.30
2010 109.00
2011 106.70
2012 104.40
2013 102.10
2014 99.80
2015 97.60
2016 95.40
2017 93.20
2018 90.90
2019 88.40
2020 85.90

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