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

The value for Mortality rate, infant, female (per 1,000 live births) in Ecuador was 9.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 107.80 in 1960 and a minimum value of 9.80 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 107.80
1961 104.80
1962 101.90
1963 99.20
1964 96.70
1965 94.40
1966 92.40
1967 90.60
1968 88.80
1969 87.10
1970 85.50
1971 83.60
1972 81.30
1973 78.70
1974 75.80
1975 72.70
1976 69.70
1977 66.90
1978 64.30
1979 61.70
1980 59.10
1981 56.50
1982 53.90
1983 51.20
1984 48.70
1985 46.40
1986 44.20
1987 42.20
1988 40.40
1989 38.70
1990 37.00
1991 35.40
1992 33.80
1993 32.10
1994 30.40
1995 28.70
1996 27.00
1997 25.40
1998 23.90
1999 22.60
2000 21.40
2001 20.30
2002 19.40
2003 18.60
2004 17.90
2005 17.30
2006 16.60
2007 16.00
2008 15.40
2009 14.80
2010 14.10
2011 13.50
2012 13.00
2013 12.50
2014 12.00
2015 11.60
2016 11.20
2017 10.80
2018 10.50
2019 10.10
2020 9.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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