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

The value for Mortality rate, infant (per 1,000 live births) in St. Lucia was 22.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 110.80 in 1960 and a minimum value of 15.60 in 2000.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 110.80
1961 106.20
1962 100.90
1963 95.00
1964 88.80
1965 82.50
1966 76.20
1967 70.10
1968 64.30
1969 58.90
1970 53.90
1971 49.40
1972 45.20
1973 41.50
1974 38.20
1975 35.30
1976 32.80
1977 30.50
1978 28.60
1979 26.80
1980 25.40
1981 24.10
1982 23.00
1983 22.00
1984 21.20
1985 20.40
1986 19.80
1987 19.20
1988 18.70
1989 18.20
1990 17.80
1991 17.40
1992 17.10
1993 16.80
1994 16.50
1995 16.30
1996 16.10
1997 15.90
1998 15.80
1999 15.70
2000 15.60
2001 15.60
2002 15.60
2003 15.70
2004 15.80
2005 16.00
2006 16.10
2007 16.40
2008 16.60
2009 16.90
2010 17.30
2011 17.70
2012 18.10
2013 18.50
2014 19.00
2015 19.50
2016 20.00
2017 20.60
2018 21.10
2019 21.60
2020 22.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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