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

The value for Mortality rate, under-5, female (per 1,000 live births) in Seychelles was 12.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 100.00 in 1960 and a minimum value of 12.80 in 2007.

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 100.00
1961 98.80
1962 97.20
1963 95.60
1964 93.60
1965 91.10
1966 88.30
1967 85.00
1968 80.90
1969 76.50
1970 71.70
1971 66.90
1972 62.00
1973 57.10
1974 52.40
1975 47.70
1976 43.10
1977 38.70
1978 34.70
1979 31.10
1980 28.00
1981 25.40
1982 23.10
1983 21.30
1984 19.80
1985 18.50
1986 17.60
1987 16.70
1988 16.00
1989 15.40
1990 14.90
1991 14.40
1992 14.00
1993 13.80
1994 13.50
1995 13.40
1996 13.20
1997 13.10
1998 13.10
1999 13.00
2000 13.00
2001 12.90
2002 12.90
2003 12.90
2004 12.90
2005 12.90
2006 12.90
2007 12.80
2008 12.90
2009 12.90
2010 13.00
2011 13.10
2012 13.20
2013 13.40
2014 13.50
2015 13.60
2016 13.70
2017 13.60
2018 13.40
2019 13.10
2020 12.80

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