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

The value for Mortality rate, under-5, male (per 1,000 live births) in Maldives was 7.00 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 316.60 in 1965 and a minimum value of 7.00 in 2020.

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
1965 316.60
1966 307.20
1967 297.70
1968 287.80
1969 278.00
1970 268.00
1971 256.70
1972 245.10
1973 233.00
1974 220.60
1975 208.50
1976 196.90
1977 186.30
1978 176.00
1979 166.20
1980 157.00
1981 148.60
1982 140.80
1983 133.40
1984 126.50
1985 119.80
1986 113.50
1987 107.50
1988 101.80
1989 96.40
1990 91.30
1991 86.30
1992 81.50
1993 76.70
1994 71.90
1995 67.10
1996 62.20
1997 57.20
1998 52.30
1999 47.40
2000 42.60
2001 38.10
2002 33.80
2003 29.90
2004 29.40
2005 23.70
2006 21.40
2007 19.40
2008 17.80
2009 16.40
2010 15.30
2011 14.20
2012 13.30
2013 12.40
2014 11.60
2015 10.70
2016 9.90
2017 9.10
2018 8.30
2019 7.60
2020 7.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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