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

The value for Mortality rate, under-5 (per 1,000 live births) in Belgium was 4.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 33.80 in 1960 and a minimum value of 4.10 in 2014.

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 33.80
1961 32.40
1962 31.20
1963 30.00
1964 28.90
1965 27.90
1966 27.00
1967 26.20
1968 25.50
1969 24.80
1970 24.00
1971 23.10
1972 22.00
1973 20.80
1974 19.60
1975 18.50
1976 17.50
1977 16.70
1978 15.90
1979 15.20
1980 14.60
1981 13.90
1982 13.30
1983 12.70
1984 12.20
1985 11.70
1986 11.40
1987 11.00
1988 10.70
1989 10.30
1990 10.00
1991 9.70
1992 9.30
1993 8.80
1994 8.20
1995 7.60
1996 7.10
1997 6.60
1998 6.30
1999 6.00
2000 5.80
2001 5.60
2002 5.40
2003 5.20
2004 5.10
2005 4.90
2006 4.80
2007 4.70
2008 4.60
2009 4.50
2010 4.40
2011 4.40
2012 4.30
2013 4.20
2014 4.10
2015 4.10
2016 4.10
2017 4.10
2018 4.20
2019 4.20
2020 4.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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