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

The value for Mortality rate, under-5 (per 1,000 live births) in El Salvador was 12.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 184.90 in 1960 and a minimum value of 12.90 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 184.90
1961 181.20
1962 177.40
1963 173.80
1964 170.20
1965 166.70
1966 163.30
1967 159.90
1968 156.70
1969 153.30
1970 150.00
1971 146.70
1972 143.00
1973 139.30
1974 135.30
1975 131.00
1976 126.30
1977 121.40
1978 116.30
1979 111.10
1980 125.20
1981 100.40
1982 95.10
1983 89.90
1984 84.80
1985 79.90
1986 75.30
1987 71.00
1988 67.10
1989 63.50
1990 60.00
1991 56.80
1992 53.70
1993 50.70
1994 47.80
1995 45.00
1996 42.30
1997 39.70
1998 37.30
1999 35.20
2000 33.20
2001 31.30
2002 29.60
2003 28.10
2004 26.60
2005 25.10
2006 23.80
2007 22.60
2008 21.40
2009 20.40
2010 19.40
2011 18.50
2012 17.60
2013 16.80
2014 16.10
2015 15.50
2016 14.90
2017 14.30
2018 13.80
2019 13.30
2020 12.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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