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

The value for Mortality rate, infant (per 1,000 live births) in Romania was 5.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 72.70 in 1960 and a minimum value of 5.60 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 72.70
1961 67.60
1962 59.50
1963 51.40
1964 46.80
1965 46.40
1966 48.80
1967 52.60
1968 55.40
1969 53.80
1970 47.80
1971 41.80
1972 38.60
1973 37.70
1974 36.70
1975 34.90
1976 32.90
1977 31.30
1978 30.30
1979 29.40
1980 28.50
1981 27.40
1982 25.90
1983 24.50
1984 24.10
1985 24.70
1986 25.80
1987 26.70
1988 26.80
1989 26.00
1990 24.50
1991 23.20
1992 22.50
1993 22.40
1994 22.40
1995 22.30
1996 21.80
1997 21.20
1998 20.30
1999 19.20
2000 18.10
2001 17.30
2002 17.00
2003 17.00
2004 16.50
2005 15.50
2006 14.20
2007 13.00
2008 11.90
2009 11.10
2010 10.50
2011 10.00
2012 9.50
2013 8.90
2014 8.30
2015 7.70
2016 7.00
2017 6.50
2018 6.10
2019 5.80
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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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