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

The value for Mortality rate, under-5 (per 1,000 live births) in Ecuador was 13.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 174.80 in 1960 and a minimum value of 13.00 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 174.80
1961 169.80
1962 165.00
1963 160.50
1964 156.10
1965 152.20
1966 148.70
1967 145.60
1968 142.80
1969 140.10
1970 137.10
1971 133.80
1972 129.90
1973 125.40
1974 120.30
1975 115.00
1976 109.90
1977 105.00
1978 100.40
1979 95.90
1980 91.40
1981 87.00
1982 82.40
1983 77.90
1984 73.60
1985 69.50
1986 65.80
1987 62.50
1988 59.50
1989 56.70
1990 54.10
1991 51.40
1992 48.80
1993 46.10
1994 43.50
1995 40.80
1996 38.10
1997 35.60
1998 33.40
1999 31.30
2000 29.50
2001 28.00
2002 26.60
2003 25.40
2004 24.40
2005 23.50
2006 22.60
2007 21.70
2008 20.80
2009 19.90
2010 19.00
2011 18.10
2012 17.30
2013 16.60
2014 15.90
2015 15.40
2016 14.80
2017 14.40
2018 13.90
2019 13.40
2020 13.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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