United Arab Emirates - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in United Arab Emirates was 5.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 188.40 in 1960 and a minimum value of 5.90 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 188.40
1961 178.80
1962 169.20
1963 159.40
1964 149.50
1965 139.40
1966 129.30
1967 119.30
1968 109.40
1969 99.70
1970 90.50
1971 82.00
1972 73.90
1973 66.60
1974 60.00
1975 54.00
1976 48.50
1977 43.50
1978 39.00
1979 35.00
1980 31.30
1981 28.30
1982 25.60
1983 23.40
1984 21.50
1985 19.90
1986 18.50
1987 17.30
1988 16.30
1989 15.30
1990 14.50
1991 13.70
1992 13.10
1993 12.50
1994 12.00
1995 11.50
1996 11.10
1997 10.70
1998 10.40
1999 10.10
2000 9.80
2001 9.60
2002 9.30
2003 9.10
2004 8.90
2005 8.70
2006 8.50
2007 8.30
2008 8.10
2009 7.90
2010 7.70
2011 7.50
2012 7.30
2013 7.10
2014 6.90
2015 6.80
2016 6.60
2017 6.40
2018 6.30
2019 6.10
2020 5.90

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