Iraq - Mortality rate, infant, male (per 1,000 live births)

The value for Mortality rate, infant, male (per 1,000 live births) in Iraq was 23.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 136.40 in 1960 and a minimum value of 23.40 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 136.40
1961 129.20
1962 122.90
1963 117.10
1964 111.80
1965 106.80
1966 102.10
1967 97.70
1968 93.60
1969 89.70
1970 86.10
1971 82.80
1972 79.50
1973 76.40
1974 73.40
1975 70.60
1976 68.00
1977 65.40
1978 63.10
1979 60.90
1980 58.90
1981 57.10
1982 55.40
1983 53.80
1984 52.40
1985 51.00
1986 49.70
1987 48.60
1988 47.50
1989 46.60
1990 45.70
1991 44.90
1992 44.10
1993 43.40
1994 42.70
1995 42.00
1996 41.40
1997 40.70
1998 40.10
1999 39.40
2000 38.60
2001 37.90
2002 37.30
2003 36.60
2004 36.00
2005 35.30
2006 34.60
2007 33.80
2008 33.00
2009 32.20
2010 31.40
2011 30.50
2012 29.70
2013 28.80
2014 28.00
2015 27.20
2016 26.40
2017 25.60
2018 24.90
2019 24.10
2020 23.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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