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

The value for Mortality rate, infant, male (per 1,000 live births) in Mauritius was 16.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 76.80 in 1960 and a minimum value of 13.80 in 2010.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 76.80
1961 73.70
1962 70.00
1963 66.60
1964 64.60
1965 65.30
1966 70.30
1967 76.20
1968 76.30
1969 68.90
1970 62.10
1971 61.60
1972 64.90
1973 65.40
1974 59.60
1975 52.20
1976 46.90
1977 43.50
1978 41.30
1979 39.30
1980 36.90
1981 34.10
1982 31.10
1983 28.90
1984 27.70
1985 27.30
1986 27.50
1987 27.60
1988 26.70
1989 24.70
1990 22.70
1991 21.50
1992 21.00
1993 21.20
1994 21.80
1995 22.50
1996 23.00
1997 22.90
1998 22.00
1999 20.40
2000 18.70
2001 17.20
2002 16.10
2003 15.50
2004 15.10
2005 14.90
2006 14.70
2007 14.40
2008 14.10
2009 13.90
2010 13.80
2011 14.00
2012 14.30
2013 14.50
2014 14.30
2015 14.10
2016 14.10
2017 14.50
2018 15.10
2019 15.80
2020 16.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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