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

The value for Mortality rate, infant, female (per 1,000 live births) in Samoa was 13.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 70.40 in 1960 and a minimum value of 13.10 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 70.40
1961 67.80
1962 65.40
1963 63.30
1964 68.40
1965 59.40
1966 57.50
1967 55.60
1968 53.50
1969 51.40
1970 49.40
1971 47.40
1972 45.40
1973 43.50
1974 41.60
1975 39.70
1976 38.00
1977 36.30
1978 34.60
1979 33.10
1980 31.70
1981 30.50
1982 29.40
1983 28.30
1984 27.30
1985 26.30
1986 25.40
1987 24.60
1988 23.80
1989 23.10
1990 22.40
1991 21.80
1992 21.20
1993 20.50
1994 19.90
1995 19.20
1996 18.60
1997 18.00
1998 17.40
1999 16.80
2000 16.20
2001 15.80
2002 15.40
2003 15.10
2004 14.90
2005 14.80
2006 14.70
2007 14.80
2008 14.80
2009 17.10
2010 14.80
2011 14.80
2012 14.60
2013 14.50
2014 14.40
2015 14.20
2016 14.10
2017 13.90
2018 13.70
2019 13.40
2020 13.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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