Sri Lanka - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Sri Lanka was 5.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 68.10 in 1960 and a minimum value of 5.90 in 2020.

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 68.10
1961 65.40
1962 63.60
1963 62.30
1964 61.00
1965 59.70
1966 58.10
1967 56.30
1968 54.80
1969 53.80
1970 53.00
1971 52.50
1972 52.00
1973 51.30
1974 50.40
1975 49.00
1976 47.10
1977 44.70
1978 42.10
1979 39.40
1980 36.80
1981 34.50
1982 32.40
1983 30.10
1984 27.60
1985 25.20
1986 23.00
1987 21.30
1988 20.20
1989 21.20
1990 19.40
1991 19.10
1992 18.70
1993 18.20
1994 17.70
1995 17.00
1996 16.40
1997 15.90
1998 15.30
1999 14.70
2000 14.20
2001 13.70
2002 13.40
2003 13.00
2004 17.70
2005 12.20
2006 11.60
2007 11.00
2008 10.50
2009 13.90
2010 9.80
2011 9.40
2012 8.90
2013 8.40
2014 7.90
2015 7.50
2016 7.10
2017 6.70
2018 6.40
2019 6.20
2020 5.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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