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

The value for Mortality rate, infant (per 1,000 live births) in El Salvador was 11.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 124.90 in 1960 and a minimum value of 11.10 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 124.90
1961 122.60
1962 120.20
1963 118.00
1964 115.90
1965 113.80
1966 111.70
1967 109.70
1968 107.60
1969 105.60
1970 103.50
1971 101.50
1972 99.20
1973 96.80
1974 94.30
1975 91.60
1976 88.60
1977 85.60
1978 82.30
1979 79.00
1980 83.30
1981 72.20
1982 68.80
1983 65.60
1984 62.30
1985 59.20
1986 56.30
1987 53.60
1988 51.00
1989 48.60
1990 46.40
1991 44.20
1992 42.00
1993 40.00
1994 37.90
1995 36.00
1996 34.10
1997 32.20
1998 30.50
1999 28.90
2000 27.40
2001 26.00
2002 24.70
2003 23.50
2004 22.40
2005 21.20
2006 20.20
2007 19.20
2008 18.30
2009 17.40
2010 16.60
2011 15.80
2012 15.10
2013 14.40
2014 13.80
2015 13.30
2016 12.80
2017 12.30
2018 11.90
2019 11.50
2020 11.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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