Turkey - Mortality rate, infant, female (per 1,000 live births)

The value for Mortality rate, infant, female (per 1,000 live births) in Turkey was 7.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 160.10 in 1960 and a minimum value of 7.60 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 160.10
1961 155.80
1962 151.30
1963 146.80
1964 142.40
1965 138.30
1966 134.30
1967 130.50
1968 126.90
1969 123.50
1970 120.00
1971 116.40
1972 112.90
1973 109.40
1974 105.80
1975 102.20
1976 98.60
1977 95.00
1978 91.40
1979 87.70
1980 84.00
1981 80.50
1982 77.00
1983 73.60
1984 70.20
1985 67.00
1986 63.80
1987 60.70
1988 57.80
1989 55.00
1990 52.40
1991 49.70
1992 47.10
1993 44.60
1994 42.20
1995 39.80
1996 37.50
1997 35.20
1998 33.20
1999 31.10
2000 29.20
2001 27.40
2002 25.60
2003 23.90
2004 22.30
2005 20.80
2006 19.40
2007 18.10
2008 16.80
2009 15.70
2010 14.70
2011 13.70
2012 12.80
2013 12.00
2014 11.10
2015 10.50
2016 9.80
2017 9.20
2018 8.60
2019 8.00
2020 7.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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