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

The value for Mortality rate, under-5, female (per 1,000 live births) in Vietnam was 17.30 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 73.90 in 1964 and a minimum value of 17.30 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
1964 73.90
1965 73.30
1966 72.90
1967 72.40
1968 71.90
1969 71.30
1970 70.70
1971 70.00
1972 69.30
1973 68.50
1974 67.40
1975 66.20
1976 64.80
1977 63.50
1978 62.00
1979 60.50
1980 59.00
1981 57.70
1982 56.40
1983 55.20
1984 53.90
1985 52.70
1986 51.20
1987 49.50
1988 47.60
1989 45.60
1990 43.40
1991 41.10
1992 38.90
1993 36.60
1994 34.50
1995 32.50
1996 30.60
1997 28.80
1998 27.20
1999 25.80
2000 24.60
2001 23.50
2002 22.60
2003 21.80
2004 21.10
2005 20.50
2006 20.00
2007 19.70
2008 19.30
2009 19.10
2010 18.80
2011 18.60
2012 18.40
2013 18.30
2014 18.10
2015 17.90
2016 17.80
2017 17.70
2018 17.50
2019 17.40
2020 17.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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