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

The value for Mortality rate, infant (per 1,000 live births) in Vanuatu was 21.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 104.80 in 1960 and a minimum value of 21.10 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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 104.80
1961 102.40
1962 99.90
1963 97.30
1964 94.40
1965 91.40
1966 88.50
1967 85.50
1968 82.40
1969 79.50
1970 76.60
1971 73.80
1972 71.10
1973 68.50
1974 66.20
1975 63.80
1976 61.50
1977 59.10
1978 56.60
1979 54.00
1980 51.30
1981 48.60
1982 45.70
1983 42.80
1984 40.10
1985 37.60
1986 35.30
1987 33.40
1988 31.70
1989 30.20
1990 29.00
1991 28.00
1992 27.00
1993 26.30
1994 25.70
1995 25.20
1996 24.80
1997 24.50
1998 24.30
1999 24.10
2000 23.90
2001 23.70
2002 23.60
2003 23.50
2004 23.60
2005 23.60
2006 23.80
2007 23.90
2008 24.10
2009 24.20
2010 24.30
2011 24.50
2012 24.50
2013 24.30
2014 24.10
2015 23.60
2016 23.20
2017 22.70
2018 22.20
2019 21.60
2020 21.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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