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

The value for Mortality rate, neonatal (per 1,000 live births) in Colombia was 7.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 39.80 in 1960 and a minimum value of 7.20 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 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 39.80
1961 38.90
1962 38.00
1963 37.10
1964 36.20
1965 35.40
1966 34.70
1967 33.90
1968 33.20
1969 32.50
1970 31.80
1971 31.10
1972 30.30
1973 29.50
1974 28.80
1975 28.00
1976 27.10
1977 26.30
1978 25.50
1979 24.60
1980 23.80
1981 23.00
1982 22.30
1983 21.60
1984 20.90
1985 20.40
1986 19.90
1987 19.50
1988 19.10
1989 18.70
1990 18.20
1991 17.70
1992 17.20
1993 16.70
1994 16.30
1995 15.80
1996 15.30
1997 14.90
1998 14.40
1999 13.90
2000 13.50
2001 13.10
2002 12.70
2003 12.40
2004 12.00
2005 11.70
2006 11.30
2007 11.00
2008 10.60
2009 10.30
2010 10.00
2011 9.60
2012 9.30
2013 9.00
2014 8.70
2015 8.40
2016 8.20
2017 7.90
2018 7.70
2019 7.40
2020 7.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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