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

The value for Mortality rate, under-5 (per 1,000 live births) in Venezuela was 24.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 79.60 in 1960 and a minimum value of 17.00 in 2009.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 79.60
1961 77.00
1962 74.80
1963 72.90
1964 71.20
1965 69.80
1966 68.50
1967 67.20
1968 65.90
1969 64.40
1970 62.80
1971 61.00
1972 59.10
1973 57.10
1974 55.40
1975 53.60
1976 51.80
1977 49.90
1978 48.00
1979 46.00
1980 44.10
1981 42.20
1982 40.50
1983 39.00
1984 37.60
1985 36.20
1986 34.90
1987 33.60
1988 32.20
1989 30.80
1990 29.50
1991 28.50
1992 27.80
1993 27.20
1994 26.80
1995 26.30
1996 25.50
1997 24.50
1998 23.50
1999 44.40
2000 21.60
2001 20.90
2002 20.30
2003 19.80
2004 19.10
2005 18.50
2006 17.90
2007 17.40
2008 17.20
2009 17.00
2010 17.10
2011 17.20
2012 17.30
2013 17.60
2014 18.00
2015 19.10
2016 24.20
2017 24.20
2018 24.20
2019 24.20
2020 24.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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