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

The value for Mortality rate, infant, female (per 1,000 live births) in Colombia was 10.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 85.90 in 1960 and a minimum value of 10.10 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 85.90
1961 83.30
1962 80.80
1963 78.50
1964 76.20
1965 74.10
1966 72.00
1967 70.00
1968 67.90
1969 65.80
1970 63.60
1971 61.40
1972 59.20
1973 56.90
1974 54.50
1975 52.00
1976 49.60
1977 47.10
1978 44.70
1979 42.30
1980 40.00
1981 37.90
1982 35.80
1983 34.00
1984 32.40
1985 30.90
1986 29.60
1987 28.50
1988 27.40
1989 26.50
1990 25.70
1991 24.90
1992 24.10
1993 23.30
1994 22.60
1995 21.80
1996 21.10
1997 20.40
1998 19.70
1999 19.10
2000 18.50
2001 18.00
2002 17.50
2003 17.00
2004 16.60
2005 16.10
2006 15.70
2007 15.20
2008 14.80
2009 14.30
2010 13.90
2011 13.40
2012 13.00
2013 12.60
2014 12.20
2015 11.80
2016 11.40
2017 11.10
2018 10.70
2019 10.40
2020 10.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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