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

The value for Mortality rate, infant, male (per 1,000 live births) in Samoa was 16.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 82.00 in 1960 and a minimum value of 16.10 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 82.00
1961 79.20
1962 76.60
1963 74.10
1964 79.10
1965 69.80
1966 67.60
1967 65.40
1968 63.10
1969 60.80
1970 58.50
1971 56.20
1972 53.90
1973 51.70
1974 49.60
1975 47.50
1976 45.50
1977 43.50
1978 41.60
1979 39.90
1980 38.30
1981 36.80
1982 35.50
1983 34.20
1984 33.10
1985 31.90
1986 30.80
1987 29.80
1988 28.90
1989 28.00
1990 27.30
1991 26.50
1992 25.70
1993 25.00
1994 24.20
1995 23.40
1996 22.60
1997 21.90
1998 21.20
1999 20.50
2000 19.80
2001 19.30
2002 18.80
2003 18.50
2004 18.30
2005 18.10
2006 18.10
2007 18.10
2008 18.20
2009 20.50
2010 18.20
2011 18.10
2012 18.00
2013 17.80
2014 17.70
2015 17.50
2016 17.30
2017 17.10
2018 16.80
2019 16.50
2020 16.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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