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

The value for Mortality rate, under-5, female (per 1,000 live births) in Samoa was 15.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 105.60 in 1964 and a minimum value of 15.30 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 101.30
1961 97.20
1962 93.30
1963 89.90
1964 105.60
1965 83.50
1966 80.30
1967 77.20
1968 73.80
1969 70.50
1970 67.10
1971 63.80
1972 60.70
1973 57.70
1974 54.80
1975 51.90
1976 49.20
1977 46.70
1978 44.20
1979 42.10
1980 40.00
1981 38.30
1982 36.60
1983 35.10
1984 33.70
1985 32.40
1986 31.00
1987 29.90
1988 28.90
1989 27.90
1990 27.00
1991 26.20
1992 25.40
1993 24.60
1994 23.70
1995 22.90
1996 22.10
1997 21.30
1998 20.50
1999 19.80
2000 19.10
2001 18.50
2002 18.10
2003 17.70
2004 17.50
2005 17.30
2006 17.30
2007 17.30
2008 17.40
2009 23.80
2010 17.40
2011 17.30
2012 17.20
2013 17.00
2014 16.80
2015 16.70
2016 16.50
2017 16.30
2018 16.00
2019 15.60
2020 15.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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