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

The value for Mortality rate, infant, female (per 1,000 live births) in Romania was 5.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 66.80 in 1960 and a minimum value of 5.10 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 66.80
1961 62.50
1962 55.00
1963 47.30
1964 42.70
1965 42.10
1966 44.10
1967 47.70
1968 50.10
1969 48.80
1970 43.30
1971 37.90
1972 35.20
1973 34.50
1974 33.80
1975 32.10
1976 30.10
1977 28.50
1978 27.50
1979 26.50
1980 25.50
1981 24.50
1982 23.10
1983 21.70
1984 21.30
1985 21.70
1986 22.70
1987 23.40
1988 23.60
1989 22.90
1990 21.60
1991 20.50
1992 19.90
1993 19.90
1994 20.00
1995 19.80
1996 19.40
1997 18.80
1998 18.10
1999 17.10
2000 16.10
2001 15.40
2002 15.10
2003 15.00
2004 14.60
2005 13.70
2006 12.60
2007 11.50
2008 10.50
2009 9.80
2010 9.30
2011 8.90
2012 8.40
2013 7.90
2014 7.40
2015 6.80
2016 6.30
2017 5.90
2018 5.50
2019 5.30
2020 5.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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