Syrian Arab Republic - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Syrian Arab Republic was 17.50 as of 2016. As the graph below shows, over the past 56 years this indicator reached a maximum value of 173.30 in 1960 and a minimum value of 16.30 in 2010.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 173.30
1961 164.50
1962 156.40
1963 148.80
1964 141.60
1965 134.80
1966 128.20
1967 121.80
1968 115.50
1969 109.60
1970 103.80
1971 98.40
1972 93.10
1973 88.20
1974 83.60
1975 79.30
1976 75.20
1977 71.30
1978 67.60
1979 64.00
1980 60.70
1981 57.50
1982 54.60
1983 51.90
1984 49.30
1985 46.90
1986 44.70
1987 42.60
1988 40.70
1989 38.90
1990 37.10
1991 35.50
1992 33.90
1993 32.40
1994 31.00
1995 29.60
1996 28.30
1997 27.00
1998 25.80
1999 24.60
2000 23.60
2001 22.50
2002 21.60
2003 20.70
2004 19.80
2005 19.00
2006 18.20
2007 17.50
2008 16.90
2009 16.40
2010 16.30
2011 16.50
2012 18.10
2013 17.90
2014 17.80
2015 17.40
2016 17.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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