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

The value for Mortality rate, under-5, female (per 1,000 live births) in Colombia was 11.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 127.20 in 1960 and a minimum value of 11.70 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 127.20
1961 122.90
1962 118.90
1963 115.10
1964 111.50
1965 108.00
1966 104.60
1967 101.30
1968 98.00
1969 94.60
1970 91.00
1971 87.50
1972 83.80
1973 80.10
1974 76.10
1975 72.10
1976 68.00
1977 64.00
1978 60.10
1979 56.40
1980 52.80
1981 49.50
1982 46.40
1983 43.70
1984 41.30
1985 39.10
1986 37.20
1987 35.60
1988 34.10
1989 32.80
1990 31.60
1991 30.40
1992 29.40
1993 28.40
1994 27.30
1995 26.30
1996 25.40
1997 24.50
1998 23.60
1999 22.80
2000 22.10
2001 21.40
2002 20.70
2003 20.10
2004 19.60
2005 19.00
2006 18.50
2007 17.90
2008 17.30
2009 16.80
2010 16.20
2011 15.70
2012 15.20
2013 14.70
2014 14.20
2015 13.80
2016 13.30
2017 12.90
2018 12.50
2019 12.10
2020 11.70

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