Turkey - Mortality rate, under-5, male (per 1,000 live births)

The value for Mortality rate, under-5, male (per 1,000 live births) in Turkey was 10.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 263.70 in 1960 and a minimum value of 10.10 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 263.70
1961 255.50
1962 246.90
1963 238.50
1964 230.30
1965 222.40
1966 215.40
1967 208.70
1968 202.40
1969 196.50
1970 190.70
1971 185.10
1972 179.50
1973 173.80
1974 168.00
1975 162.20
1976 156.10
1977 150.10
1978 143.90
1979 137.80
1980 131.70
1981 125.30
1982 119.10
1983 113.10
1984 107.10
1985 101.40
1986 96.00
1987 90.90
1988 86.00
1989 81.30
1990 76.60
1991 72.30
1992 68.00
1993 63.90
1994 59.90
1995 56.10
1996 52.50
1997 49.10
1998 45.80
1999 42.70
2000 39.70
2001 37.00
2002 34.30
2003 31.90
2004 29.60
2005 27.50
2006 25.50
2007 23.70
2008 22.00
2009 20.40
2010 19.00
2011 17.70
2012 16.50
2013 15.50
2014 14.60
2015 13.70
2016 12.80
2017 12.10
2018 11.40
2019 10.70
2020 10.10

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