Mauritius - Mortality rate, under-5, male (per 1,000 live births)

The value for Mortality rate, under-5, male (per 1,000 live births) in Mauritius was 18.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 108.30 in 1960 and a minimum value of 15.90 in 2010.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 108.30
1961 102.90
1962 96.70
1963 91.40
1964 88.40
1965 89.20
1966 95.50
1967 103.00
1968 102.50
1969 92.20
1970 82.90
1971 82.20
1972 86.60
1973 86.80
1974 78.40
1975 67.70
1976 59.70
1977 54.40
1978 50.80
1979 47.90
1980 44.80
1981 41.10
1982 37.30
1983 34.40
1984 32.80
1985 32.10
1986 32.00
1987 31.90
1988 30.60
1989 28.20
1990 25.80
1991 24.30
1992 23.70
1993 23.80
1994 24.40
1995 25.00
1996 25.50
1997 25.40
1998 24.50
1999 22.80
2000 21.00
2001 19.50
2002 18.40
2003 17.80
2004 17.40
2005 17.30
2006 17.00
2007 16.70
2008 16.40
2009 16.00
2010 15.90
2011 16.10
2012 16.40
2013 16.50
2014 16.20
2015 15.90
2016 15.90
2017 16.30
2018 16.90
2019 17.50
2020 18.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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