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

The value for Mortality rate, infant (per 1,000 live births) in Mauritius was 14.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 70.30 in 1960 and a minimum value of 12.50 in 2009.

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 70.30
1961 67.30
1962 63.80
1963 60.60
1964 58.70
1965 59.50
1966 64.10
1967 69.60
1968 69.70
1969 62.80
1970 56.50
1971 56.10
1972 59.10
1973 59.50
1974 54.00
1975 47.20
1976 42.30
1977 39.30
1978 37.20
1979 35.30
1980 33.20
1981 30.50
1982 27.80
1983 25.70
1984 24.60
1985 24.20
1986 24.30
1987 24.40
1988 23.60
1989 21.80
1990 20.00
1991 18.90
1992 18.50
1993 18.70
1994 19.20
1995 19.90
1996 20.30
1997 20.20
1998 19.50
1999 18.10
2000 16.60
2001 15.30
2002 14.40
2003 13.80
2004 13.50
2005 13.40
2006 13.20
2007 13.00
2008 12.70
2009 12.50
2010 12.50
2011 12.60
2012 13.00
2013 13.10
2014 12.90
2015 12.80
2016 12.80
2017 13.20
2018 13.70
2019 14.30
2020 14.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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