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

The value for Mortality rate, infant, male (per 1,000 live births) in Ecuador was 12.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 129.20 in 1960 and a minimum value of 12.40 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 129.20
1961 125.80
1962 122.90
1963 120.00
1964 117.30
1965 114.80
1966 112.60
1967 110.50
1968 108.70
1969 106.90
1970 104.90
1971 102.70
1972 100.00
1973 97.00
1974 93.60
1975 90.00
1976 86.30
1977 82.90
1978 79.70
1979 76.60
1980 73.50
1981 70.50
1982 67.40
1983 64.20
1984 61.30
1985 58.50
1986 55.90
1987 53.50
1988 51.30
1989 49.30
1990 47.30
1991 45.30
1992 43.30
1993 41.30
1994 39.20
1995 37.00
1996 34.90
1997 32.90
1998 31.00
1999 29.30
2000 27.70
2001 26.40
2002 25.20
2003 24.20
2004 23.20
2005 22.40
2006 21.60
2007 20.80
2008 19.90
2009 19.10
2010 18.30
2011 17.50
2012 16.70
2013 16.00
2014 15.40
2015 14.80
2016 14.30
2017 13.80
2018 13.40
2019 12.90
2020 12.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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