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

The value for Mortality rate, infant (per 1,000 live births) in Seychelles was 12.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 74.80 in 1960 and a minimum value of 11.80 in 2000.

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 74.80
1961 73.90
1962 73.00
1963 71.90
1964 70.60
1965 69.00
1966 67.20
1967 64.90
1968 62.30
1969 59.50
1970 56.40
1971 53.20
1972 50.00
1973 46.70
1974 43.40
1975 40.10
1976 36.80
1977 33.60
1978 30.60
1979 27.80
1980 25.30
1981 23.10
1982 21.30
1983 19.80
1984 18.50
1985 17.40
1986 16.50
1987 15.80
1988 15.10
1989 14.60
1990 14.00
1991 13.60
1992 13.20
1993 12.80
1994 12.60
1995 12.40
1996 12.20
1997 12.00
1998 11.90
1999 11.90
2000 11.80
2001 11.80
2002 11.80
2003 11.80
2004 11.80
2005 11.80
2006 11.90
2007 11.90
2008 12.00
2009 12.00
2010 12.10
2011 12.20
2012 12.40
2013 12.50
2014 12.60
2015 12.70
2016 12.80
2017 12.70
2018 12.50
2019 12.30
2020 12.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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