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

The value for Mortality rate, under-5, female (per 1,000 live births) in Romania was 6.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 80.40 in 1960 and a minimum value of 6.30 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 80.40
1961 74.80
1962 65.50
1963 56.20
1964 50.70
1965 49.90
1966 52.30
1967 56.50
1968 59.50
1969 58.20
1970 51.70
1971 45.40
1972 42.30
1973 41.70
1974 41.00
1975 39.20
1976 37.10
1977 35.30
1978 34.30
1979 33.40
1980 32.40
1981 31.20
1982 29.60
1983 28.00
1984 27.50
1985 28.20
1986 29.60
1987 30.70
1988 30.80
1989 29.80
1990 27.90
1991 26.10
1992 25.20
1993 24.90
1994 24.80
1995 24.30
1996 23.70
1997 22.80
1998 21.80
1999 20.50
2000 19.20
2001 18.20
2002 17.90
2003 17.70
2004 17.20
2005 16.10
2006 14.70
2007 13.50
2008 12.40
2009 11.60
2010 11.00
2011 10.50
2012 10.00
2013 9.40
2014 8.80
2015 8.20
2016 7.60
2017 7.10
2018 6.70
2019 6.40
2020 6.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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