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

The value for Mortality rate, infant, male (per 1,000 live births) in Romania was 6.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 78.20 in 1960 and a minimum value of 6.10 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 78.20
1961 72.40
1962 63.70
1963 55.40
1964 50.70
1965 50.50
1966 53.30
1967 57.40
1968 60.40
1969 58.60
1970 52.10
1971 45.40
1972 42.00
1973 40.60
1974 39.50
1975 37.60
1976 35.50
1977 34.00
1978 32.90
1979 32.10
1980 31.30
1981 30.10
1982 28.50
1983 27.20
1984 26.70
1985 27.60
1986 28.80
1987 29.70
1988 29.80
1989 29.00
1990 27.30
1991 25.70
1992 25.00
1993 24.80
1994 24.80
1995 24.60
1996 24.10
1997 23.40
1998 22.40
1999 21.20
2000 20.00
2001 19.20
2002 18.90
2003 18.80
2004 18.30
2005 17.20
2006 15.70
2007 14.40
2008 13.30
2009 12.40
2010 11.70
2011 11.10
2012 10.50
2013 9.90
2014 9.20
2015 8.50
2016 7.80
2017 7.20
2018 6.70
2019 6.40
2020 6.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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