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

The value for Mortality rate, infant, male (per 1,000 live births) in St. Lucia was 23.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 112.70 in 1960 and a minimum value of 16.90 in 2001.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 112.70
1961 108.30
1962 103.20
1963 97.60
1964 91.70
1965 85.60
1966 79.50
1967 73.50
1968 67.70
1969 62.30
1970 57.20
1971 52.60
1972 48.40
1973 44.60
1974 41.20
1975 38.20
1976 35.50
1977 33.20
1978 31.00
1979 29.20
1980 27.60
1981 26.30
1982 25.10
1983 24.00
1984 23.10
1985 22.30
1986 21.60
1987 21.00
1988 20.40
1989 19.90
1990 19.40
1991 19.00
1992 18.60
1993 18.30
1994 18.00
1995 17.70
1996 17.50
1997 17.30
1998 17.10
1999 17.00
2000 17.00
2001 16.90
2002 16.90
2003 17.00
2004 17.10
2005 17.30
2006 17.50
2007 17.70
2008 18.00
2009 18.30
2010 18.70
2011 19.10
2012 19.60
2013 20.10
2014 20.60
2015 21.10
2016 21.70
2017 22.30
2018 22.90
2019 23.40
2020 23.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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