Samoa - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Samoa was 17.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 110.80 in 1964 and a minimum value of 17.00 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 106.90
1961 102.70
1962 98.80
1963 95.10
1964 110.80
1965 88.60
1966 85.40
1967 82.20
1968 78.80
1969 75.40
1970 71.90
1971 68.60
1972 65.30
1973 62.20
1974 59.10
1975 56.20
1976 53.40
1977 50.70
1978 48.20
1979 45.90
1980 43.70
1981 41.80
1982 40.10
1983 38.50
1984 37.00
1985 35.60
1986 34.20
1987 33.00
1988 31.90
1989 30.80
1990 29.90
1991 29.00
1992 28.10
1993 27.20
1994 26.20
1995 25.30
1996 24.40
1997 23.60
1998 22.80
1999 21.90
2000 21.20
2001 20.60
2002 20.10
2003 19.70
2004 19.40
2005 19.30
2006 19.30
2007 19.30
2008 19.30
2009 25.70
2010 19.30
2011 19.20
2012 19.10
2013 18.90
2014 18.70
2015 18.60
2016 18.40
2017 18.10
2018 17.80
2019 17.40
2020 17.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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