St. Lucia - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in St. Lucia was 22.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 162.10 in 1960 and a minimum value of 16.60 in 2001.

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 162.10
1961 153.90
1962 144.70
1963 134.70
1964 124.50
1965 114.30
1966 104.50
1967 95.00
1968 86.20
1969 78.00
1970 70.50
1971 63.80
1972 57.70
1973 52.40
1974 47.70
1975 43.60
1976 40.00
1977 36.90
1978 34.20
1979 31.90
1980 29.90
1981 28.20
1982 26.70
1983 25.40
1984 24.30
1985 23.20
1986 22.40
1987 21.60
1988 20.90
1989 20.30
1990 19.70
1991 19.20
1992 18.70
1993 18.30
1994 18.00
1995 17.70
1996 17.40
1997 17.20
1998 17.00
1999 16.80
2000 16.70
2001 16.60
2002 16.60
2003 16.60
2004 16.70
2005 16.80
2006 17.00
2007 17.10
2008 17.40
2009 17.60
2010 17.90
2011 18.20
2012 18.60
2013 19.00
2014 19.40
2015 19.90
2016 20.40
2017 20.90
2018 21.40
2019 21.80
2020 22.20

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