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

The value for Mortality rate, infant (per 1,000 live births) in Tonga was 9.80 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 58.00 in 1963 and a minimum value of 9.80 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
1963 58.00
1964 54.90
1965 52.00
1966 49.10
1967 46.30
1968 43.70
1969 41.10
1970 38.70
1971 36.60
1972 34.70
1973 33.00
1974 31.40
1975 30.00
1976 28.80
1977 27.60
1978 26.50
1979 25.40
1980 24.60
1981 23.80
1982 23.10
1983 22.50
1984 22.10
1985 21.60
1986 21.10
1987 20.60
1988 20.10
1989 19.50
1990 18.80
1991 18.20
1992 17.60
1993 17.00
1994 16.50
1995 16.10
1996 15.80
1997 15.50
1998 15.20
1999 14.90
2000 14.50
2001 14.20
2002 13.80
2003 13.40
2004 13.00
2005 12.70
2006 12.30
2007 12.00
2008 11.80
2009 11.50
2010 11.30
2011 11.10
2012 11.00
2013 10.90
2014 10.80
2015 10.70
2016 10.60
2017 10.40
2018 10.30
2019 10.00
2020 9.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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