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

The value for Mortality rate, infant, male (per 1,000 live births) in Colombia was 12.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 101.40 in 1960 and a minimum value of 12.60 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 101.40
1961 98.60
1962 95.90
1963 93.20
1964 90.70
1965 88.40
1966 86.10
1967 83.80
1968 81.50
1969 79.10
1970 76.80
1971 74.30
1972 71.90
1973 69.30
1974 66.60
1975 63.90
1976 61.10
1977 58.30
1978 55.50
1979 52.70
1980 50.00
1981 47.50
1982 45.00
1983 42.80
1984 40.70
1985 38.80
1986 37.20
1987 35.80
1988 34.60
1989 33.50
1990 32.60
1991 31.60
1992 30.70
1993 29.70
1994 28.80
1995 27.90
1996 27.00
1997 26.10
1998 25.20
1999 24.40
2000 23.70
2001 23.00
2002 22.30
2003 21.70
2004 21.00
2005 20.40
2006 19.80
2007 19.20
2008 18.60
2009 18.00
2010 17.50
2011 16.90
2012 16.40
2013 15.80
2014 15.30
2015 14.80
2016 14.40
2017 13.90
2018 13.40
2019 13.00
2020 12.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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