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

The value for Mortality rate, infant, female (per 1,000 live births) in St. Lucia was 20.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 108.80 in 1960 and a minimum value of 14.20 in 1999.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given 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 108.80
1961 104.00
1962 98.40
1963 92.20
1964 85.70
1965 79.20
1966 72.80
1967 66.60
1968 60.80
1969 55.40
1970 50.50
1971 46.00
1972 41.90
1973 38.40
1974 35.10
1975 32.30
1976 29.90
1977 27.70
1978 25.90
1979 24.30
1980 23.00
1981 21.80
1982 20.80
1983 19.90
1984 19.10
1985 18.50
1986 17.90
1987 17.30
1988 16.80
1989 16.40
1990 16.00
1991 15.70
1992 15.40
1993 15.10
1994 14.90
1995 14.70
1996 14.50
1997 14.40
1998 14.30
1999 14.20
2000 14.20
2001 14.20
2002 14.20
2003 14.30
2004 14.40
2005 14.50
2006 14.70
2007 14.90
2008 15.20
2009 15.40
2010 15.70
2011 16.10
2012 16.50
2013 16.90
2014 17.30
2015 17.80
2016 18.20
2017 18.70
2018 19.20
2019 19.60
2020 20.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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