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

The value for Mortality rate, infant, male (per 1,000 live births) in United Arab Emirates was 6.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 142.60 in 1960 and a minimum value of 6.20 in 2020.

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 142.60
1961 136.00
1962 129.70
1963 123.30
1964 116.90
1965 110.20
1966 103.40
1967 96.60
1968 89.70
1969 83.10
1970 76.70
1971 70.60
1972 65.00
1973 59.90
1974 55.10
1975 50.60
1976 46.30
1977 42.40
1978 38.70
1979 35.40
1980 32.40
1981 29.70
1982 27.20
1983 25.10
1984 23.30
1985 21.70
1986 20.30
1987 19.00
1988 17.90
1989 16.80
1990 15.90
1991 15.10
1992 14.30
1993 13.70
1994 13.10
1995 12.60
1996 12.10
1997 11.70
1998 11.30
1999 11.00
2000 10.70
2001 10.40
2002 10.10
2003 9.90
2004 9.60
2005 9.40
2006 9.20
2007 9.00
2008 8.70
2009 8.50
2010 8.20
2011 8.00
2012 7.80
2013 7.60
2014 7.40
2015 7.20
2016 7.00
2017 6.80
2018 6.60
2019 6.40
2020 6.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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