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

The value for Mortality rate, infant, female (per 1,000 live births) in Vanuatu was 19.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 98.80 in 1960 and a minimum value of 19.30 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 98.80
1961 96.50
1962 94.20
1963 91.50
1964 88.70
1965 85.90
1966 83.00
1967 80.20
1968 77.30
1969 74.30
1970 71.50
1971 68.80
1972 66.40
1973 64.00
1974 61.70
1975 59.40
1976 57.20
1977 54.90
1978 52.50
1979 50.00
1980 47.50
1981 44.90
1982 42.20
1983 39.50
1984 37.00
1985 34.60
1986 32.50
1987 30.70
1988 29.10
1989 27.80
1990 26.60
1991 25.60
1992 24.70
1993 24.00
1994 23.50
1995 23.00
1996 22.70
1997 22.50
1998 22.20
1999 22.10
2000 21.90
2001 21.70
2002 21.70
2003 21.70
2004 21.70
2005 21.80
2006 21.90
2007 22.00
2008 22.20
2009 22.40
2010 22.50
2011 22.60
2012 22.60
2013 22.40
2014 22.10
2015 21.80
2016 21.30
2017 20.80
2018 20.30
2019 19.80
2020 19.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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