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

The value for Mortality rate, under-5 (per 1,000 live births) in Romania was 6.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 86.40 in 1960 and a minimum value of 6.90 in 2020.

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 86.40
1961 80.00
1962 70.20
1963 60.60
1964 55.00
1965 54.50
1966 57.30
1967 61.90
1968 65.20
1969 63.60
1970 56.70
1971 49.70
1972 46.30
1973 45.40
1974 44.50
1975 42.60
1976 40.40
1977 38.70
1978 37.60
1979 36.70
1980 35.80
1981 34.50
1982 32.80
1983 31.20
1984 30.80
1985 31.70
1986 33.20
1987 34.30
1988 34.50
1989 33.40
1990 31.30
1991 29.40
1992 28.30
1993 28.00
1994 27.80
1995 27.30
1996 26.60
1997 25.60
1998 24.40
1999 23.00
2000 21.60
2001 20.50
2002 20.10
2003 20.00
2004 19.40
2005 18.10
2006 16.60
2007 15.20
2008 14.00
2009 13.10
2010 12.40
2011 11.80
2012 11.20
2013 10.60
2014 9.90
2015 9.20
2016 8.50
2017 7.90
2018 7.40
2019 7.10
2020 6.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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