United Arab Emirates - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in United Arab Emirates was 5.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 133.20 in 1960 and a minimum value of 5.60 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 133.20
1961 126.90
1962 120.70
1963 114.70
1964 108.40
1965 102.10
1966 95.60
1967 89.10
1968 82.60
1969 76.40
1970 70.30
1971 64.60
1972 59.30
1973 54.50
1974 50.10
1975 45.90
1976 42.00
1977 38.30
1978 34.90
1979 31.90
1980 29.00
1981 26.50
1982 24.30
1983 22.40
1984 20.80
1985 19.30
1986 18.00
1987 16.90
1988 15.90
1989 15.00
1990 14.20
1991 13.50
1992 12.80
1993 12.20
1994 11.70
1995 11.30
1996 10.90
1997 10.50
1998 10.20
1999 9.90
2000 9.60
2001 9.30
2002 9.10
2003 8.90
2004 8.60
2005 8.40
2006 8.20
2007 8.10
2008 7.90
2009 7.60
2010 7.40
2011 7.20
2012 7.00
2013 6.80
2014 6.70
2015 6.50
2016 6.30
2017 6.20
2018 6.00
2019 5.80
2020 5.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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