Syrian Arab Republic - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Syrian Arab Republic was 14.20 as of 2016. As the graph below shows, over the past 56 years this indicator reached a maximum value of 117.80 in 1960 and a minimum value of 14.00 in 2010.

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 117.80
1961 112.40
1962 107.50
1963 102.80
1964 98.30
1965 94.00
1966 89.80
1967 85.80
1968 81.80
1969 78.00
1970 74.40
1971 70.90
1972 67.60
1973 64.50
1974 61.60
1975 58.80
1976 56.20
1977 53.70
1978 51.30
1979 49.00
1980 46.80
1981 44.70
1982 42.70
1983 40.80
1984 39.00
1985 37.30
1986 35.80
1987 34.30
1988 32.90
1989 31.60
1990 30.40
1991 29.20
1992 28.00
1993 26.90
1994 25.80
1995 24.70
1996 23.70
1997 22.70
1998 21.70
1999 20.80
2000 20.00
2001 19.20
2002 18.40
2003 17.70
2004 16.90
2005 16.30
2006 15.60
2007 15.00
2008 14.50
2009 14.10
2010 14.00
2011 14.00
2012 14.30
2013 14.30
2014 14.30
2015 14.20
2016 14.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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