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

The value for Mortality rate, infant, female (per 1,000 live births) in Maldives was 5.00 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 190.30 in 1965 and a minimum value of 5.00 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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
1965 190.30
1966 184.40
1967 178.30
1968 172.40
1969 166.30
1970 160.00
1971 153.50
1972 146.40
1973 139.20
1974 132.00
1975 125.10
1976 118.40
1977 112.00
1978 106.10
1979 100.60
1980 95.30
1981 90.40
1982 85.80
1983 81.50
1984 77.40
1985 73.50
1986 69.80
1987 66.30
1988 63.00
1989 59.90
1990 57.00
1991 54.10
1992 51.40
1993 48.60
1994 45.90
1995 43.10
1996 40.20
1997 37.20
1998 34.20
1999 31.20
2000 28.30
2001 25.40
2002 22.70
2003 20.20
2004 19.00
2005 16.20
2006 14.60
2007 13.30
2008 12.30
2009 11.40
2010 10.60
2011 9.90
2012 9.30
2013 8.70
2014 8.10
2015 7.50
2016 7.00
2017 6.40
2018 5.90
2019 5.40
2020 5.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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