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

The value for Mortality rate, infant, male (per 1,000 live births) in Vanuatu was 22.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 110.50 in 1960 and a minimum value of 22.70 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 110.50
1961 108.10
1962 105.50
1963 102.70
1964 99.80
1965 96.60
1966 93.50
1967 90.30
1968 87.30
1969 84.20
1970 81.30
1971 78.40
1972 75.60
1973 73.00
1974 70.50
1975 68.10
1976 65.50
1977 63.00
1978 60.40
1979 57.70
1980 54.90
1981 51.90
1982 48.90
1983 45.90
1984 43.00
1985 40.40
1986 38.00
1987 35.90
1988 34.10
1989 32.60
1990 31.30
1991 30.10
1992 29.20
1993 28.30
1994 27.70
1995 27.10
1996 26.70
1997 26.50
1998 26.20
1999 25.90
2000 25.70
2001 25.50
2002 25.40
2003 25.30
2004 25.30
2005 25.40
2006 25.50
2007 25.70
2008 25.80
2009 26.00
2010 26.10
2011 26.20
2012 26.30
2013 26.10
2014 25.80
2015 25.40
2016 24.90
2017 24.40
2018 23.90
2019 23.30
2020 22.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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