El Salvador - Mortality rate, under-5, male (per 1,000 live births)

The value for Mortality rate, under-5, male (per 1,000 live births) in El Salvador was 14.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 193.70 in 1960 and a minimum value of 14.10 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified 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 193.70
1961 189.70
1962 185.90
1963 182.20
1964 178.70
1965 175.10
1966 171.60
1967 168.10
1968 164.70
1969 161.50
1970 158.10
1971 154.40
1972 150.70
1973 146.90
1974 142.80
1975 138.20
1976 133.40
1977 128.20
1978 122.90
1979 117.40
1980 131.20
1981 106.40
1982 100.90
1983 95.40
1984 90.10
1985 85.10
1986 80.40
1987 76.00
1988 71.90
1989 68.10
1990 64.50
1991 61.10
1992 57.80
1993 54.70
1994 51.70
1995 48.70
1996 45.90
1997 43.10
1998 40.70
1999 38.40
2000 36.20
2001 34.30
2002 32.50
2003 30.70
2004 29.10
2005 27.60
2006 26.10
2007 24.80
2008 23.60
2009 22.40
2010 21.30
2011 20.30
2012 19.30
2013 18.50
2014 17.70
2015 17.00
2016 16.40
2017 15.80
2018 15.20
2019 14.60
2020 14.10

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