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

The value for Mortality rate, under-5 (per 1,000 live births) in Barbados was 12.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 84.50 in 1960 and a minimum value of 12.20 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 84.50
1961 78.40
1962 73.20
1963 68.70
1964 64.70
1965 61.10
1966 58.00
1967 55.30
1968 52.80
1969 50.30
1970 47.90
1971 45.50
1972 43.10
1973 40.80
1974 38.60
1975 36.40
1976 34.30
1977 32.30
1978 30.40
1979 28.60
1980 26.90
1981 25.50
1982 24.40
1983 23.40
1984 22.60
1985 21.90
1986 21.20
1987 20.40
1988 19.70
1989 18.90
1990 18.10
1991 17.40
1992 16.60
1993 16.00
1994 15.50
1995 15.20
1996 14.90
1997 14.80
1998 14.80
1999 14.90
2000 15.10
2001 15.30
2002 15.50
2003 15.70
2004 15.70
2005 15.70
2006 15.60
2007 15.40
2008 15.30
2009 15.10
2010 15.00
2011 14.80
2012 14.70
2013 14.60
2014 14.30
2015 14.00
2016 13.70
2017 13.40
2018 13.00
2019 12.60
2020 12.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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