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

The value for Mortality rate, under-5, female (per 1,000 live births) in Barbados was 11.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 78.00 in 1960 and a minimum value of 11.10 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 78.00
1961 72.30
1962 67.30
1963 63.00
1964 59.20
1965 55.90
1966 52.90
1967 50.30
1968 47.90
1969 45.60
1970 43.20
1971 41.00
1972 38.80
1973 36.70
1974 34.60
1975 32.60
1976 30.80
1977 28.90
1978 27.20
1979 25.60
1980 24.10
1981 22.90
1982 21.80
1983 21.00
1984 20.20
1985 19.60
1986 19.00
1987 18.30
1988 17.70
1989 17.00
1990 16.30
1991 15.70
1992 15.00
1993 14.50
1994 14.10
1995 13.80
1996 13.60
1997 13.50
1998 13.50
1999 13.70
2000 13.80
2001 14.10
2002 14.30
2003 14.40
2004 14.40
2005 14.40
2006 14.30
2007 14.10
2008 13.90
2009 13.80
2010 13.60
2011 13.50
2012 13.40
2013 13.20
2014 13.00
2015 12.70
2016 12.40
2017 12.10
2018 11.80
2019 11.50
2020 11.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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