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

The value for Mortality rate, infant (per 1,000 live births) in Samoa was 14.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 76.40 in 1960 and a minimum value of 14.60 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 76.40
1961 73.70
1962 71.20
1963 68.80
1964 73.90
1965 64.70
1966 62.70
1967 60.60
1968 58.50
1969 56.30
1970 54.10
1971 52.00
1972 49.90
1973 47.80
1974 45.70
1975 43.70
1976 41.80
1977 40.00
1978 38.20
1979 36.60
1980 35.10
1981 33.70
1982 32.50
1983 31.30
1984 30.20
1985 29.20
1986 28.20
1987 27.30
1988 26.40
1989 25.70
1990 24.90
1991 24.20
1992 23.50
1993 22.80
1994 22.10
1995 21.40
1996 20.70
1997 20.00
1998 19.30
1999 18.70
2000 18.10
2001 17.60
2002 17.10
2003 16.80
2004 16.60
2005 16.50
2006 16.50
2007 16.50
2008 16.50
2009 18.80
2010 16.60
2011 16.50
2012 16.40
2013 16.20
2014 16.10
2015 15.90
2016 15.70
2017 15.50
2018 15.30
2019 15.00
2020 14.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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