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

The value for Mortality rate, under-5 (per 1,000 live births) in Austria was 3.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 42.90 in 1960 and a minimum value of 3.60 in 2016.

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 42.90
1961 40.20
1962 37.90
1963 35.90
1964 34.20
1965 32.70
1966 31.50
1967 30.50
1968 29.70
1969 29.30
1970 29.00
1971 28.70
1972 28.10
1973 26.90
1974 25.20
1975 23.10
1976 21.00
1977 19.40
1978 18.10
1979 17.10
1980 16.20
1981 15.50
1982 14.80
1983 14.10
1984 13.30
1985 12.60
1986 11.90
1987 11.10
1988 10.50
1989 10.00
1990 9.50
1991 9.10
1992 8.60
1993 8.00
1994 7.40
1995 6.80
1996 6.30
1997 6.00
1998 5.80
1999 5.60
2000 5.50
2001 5.40
2002 5.30
2003 5.20
2004 5.10
2005 4.90
2006 4.70
2007 4.60
2008 4.50
2009 4.50
2010 4.30
2011 4.20
2012 4.00
2013 3.90
2014 3.80
2015 3.70
2016 3.60
2017 3.60
2018 3.60
2019 3.60
2020 3.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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