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

The value for Mortality rate, infant, male (per 1,000 live births) in Sri Lanka was 6.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 73.70 in 1960 and a minimum value of 6.50 in 2020.

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 73.70
1961 70.60
1962 68.70
1963 67.70
1964 66.40
1965 64.90
1966 63.30
1967 61.60
1968 59.80
1969 58.70
1970 57.80
1971 57.20
1972 56.60
1973 55.90
1974 54.90
1975 53.30
1976 51.20
1977 48.60
1978 45.80
1979 42.90
1980 40.00
1981 37.60
1982 35.30
1983 32.60
1984 30.00
1985 27.40
1986 25.00
1987 23.20
1988 22.00
1989 23.10
1990 21.30
1991 21.10
1992 20.70
1993 20.10
1994 19.40
1995 18.60
1996 17.90
1997 17.30
1998 16.60
1999 16.00
2000 15.50
2001 15.10
2002 14.60
2003 14.30
2004 18.90
2005 13.40
2006 12.70
2007 12.10
2008 11.50
2009 14.80
2010 10.70
2011 10.30
2012 9.80
2013 9.30
2014 8.80
2015 8.30
2016 7.80
2017 7.40
2018 7.00
2019 6.80
2020 6.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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