Bulgaria - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in Bulgaria was 5.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 50.80 in 1960 and a minimum value of 5.60 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 50.80
1961 44.60
1962 40.10
1963 37.00
1964 35.20
1965 34.00
1966 33.40
1967 32.70
1968 31.70
1969 30.30
1970 28.70
1971 27.40
1972 26.50
1973 26.00
1974 25.70
1975 25.20
1976 24.50
1977 23.70
1978 22.80
1979 21.80
1980 20.90
1981 20.20
1982 19.60
1983 19.00
1984 18.30
1985 17.40
1986 16.50
1987 15.90
1988 15.60
1989 15.70
1990 16.20
1991 16.70
1992 16.90
1993 16.90
1994 16.90
1995 17.00
1996 17.10
1997 17.00
1998 16.70
1999 16.20
2000 15.60
2001 14.90
2002 14.20
2003 13.50
2004 12.70
2005 11.90
2006 11.10
2007 10.60
2008 10.20
2009 9.90
2010 9.60
2011 9.20
2012 8.80
2013 8.30
2014 7.80
2015 7.30
2016 7.00
2017 6.60
2018 6.30
2019 5.90
2020 5.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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