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

The value for Mortality rate, infant, male (per 1,000 live births) in Vietnam was 18.90 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 63.60 in 1964 and a minimum value of 18.90 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
1964 63.60
1965 63.20
1966 62.80
1967 62.40
1968 61.90
1969 61.50
1970 60.90
1971 60.40
1972 59.70
1973 59.00
1974 58.30
1975 57.40
1976 56.60
1977 55.60
1978 54.60
1979 53.60
1980 52.60
1981 51.60
1982 50.80
1983 49.90
1984 49.10
1985 48.30
1986 47.30
1987 46.10
1988 44.80
1989 43.40
1990 41.90
1991 40.30
1992 38.60
1993 37.00
1994 35.30
1995 33.60
1996 32.00
1997 30.50
1998 29.10
1999 27.90
2000 26.70
2001 25.70
2002 24.70
2003 23.90
2004 23.20
2005 22.60
2006 22.10
2007 21.70
2008 21.30
2009 21.00
2010 20.80
2011 20.50
2012 20.30
2013 20.10
2014 19.90
2015 19.70
2016 19.50
2017 19.40
2018 19.20
2019 19.10
2020 18.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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