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

The value for Mortality rate, under-5, male (per 1,000 live births) in Barbados was 13.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 90.60 in 1960 and a minimum value of 13.30 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 90.60
1961 84.30
1962 78.80
1963 74.10
1964 69.90
1965 66.10
1966 62.90
1967 60.00
1968 57.40
1969 54.80
1970 52.30
1971 49.70
1972 47.20
1973 44.80
1974 42.30
1975 40.00
1976 37.60
1977 35.40
1978 33.30
1979 31.40
1980 29.60
1981 28.10
1982 26.80
1983 25.70
1984 24.80
1985 24.00
1986 23.20
1987 22.40
1988 21.60
1989 20.70
1990 19.80
1991 19.00
1992 18.20
1993 17.50
1994 16.90
1995 16.50
1996 16.20
1997 16.10
1998 16.10
1999 16.20
2000 16.30
2001 16.60
2002 16.80
2003 16.90
2004 17.00
2005 16.90
2006 16.80
2007 16.70
2008 16.50
2009 16.40
2010 16.30
2011 16.10
2012 16.00
2013 15.80
2014 15.50
2015 15.20
2016 14.90
2017 14.50
2018 14.10
2019 13.70
2020 13.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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