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

The value for Mortality rate, infant, male (per 1,000 live births) in Tuvalu was 20.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 124.20 in 1960 and a minimum value of 20.90 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
1960 124.20
1961 119.30
1962 114.70
1963 110.20
1964 105.70
1965 101.50
1966 97.40
1967 93.60
1968 89.80
1969 86.10
1970 82.50
1971 79.00
1972 75.40
1973 71.90
1974 68.50
1975 65.10
1976 62.20
1977 59.60
1978 57.30
1979 55.20
1980 53.40
1981 51.90
1982 50.50
1983 49.30
1984 48.30
1985 47.70
1986 47.20
1987 46.90
1988 46.50
1989 46.20
1990 45.80
1991 45.40
1992 44.90
1993 44.30
1994 43.60
1995 42.80
1996 41.80
1997 40.80
1998 39.80
1999 38.80
2000 37.90
2001 37.10
2002 36.40
2003 35.80
2004 35.10
2005 34.30
2006 33.40
2007 32.40
2008 31.20
2009 30.10
2010 28.90
2011 27.90
2012 27.00
2013 26.10
2014 25.30
2015 24.40
2016 23.70
2017 23.00
2018 22.30
2019 21.50
2020 20.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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