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

The value for Mortality rate, infant, male (per 1,000 live births) in Brunei was 10.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 92.90 in 1960 and a minimum value of 8.30 in 2004.

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 92.90
1961 83.80
1962 75.10
1963 67.50
1964 61.10
1965 56.30
1966 52.70
1967 49.90
1968 47.50
1969 45.10
1970 42.50
1971 39.60
1972 36.50
1973 33.20
1974 30.00
1975 27.10
1976 24.50
1977 22.20
1978 20.20
1979 18.40
1980 16.90
1981 15.60
1982 14.50
1983 13.60
1984 12.80
1985 12.20
1986 11.80
1987 11.40
1988 11.20
1989 11.10
1990 11.10
1991 11.10
1992 11.10
1993 11.00
1994 10.80
1995 10.50
1996 10.20
1997 9.80
1998 9.50
1999 9.10
2000 8.90
2001 8.60
2002 8.50
2003 8.40
2004 8.30
2005 8.30
2006 8.30
2007 8.30
2008 8.40
2009 8.40
2010 8.60
2011 8.70
2012 8.90
2013 9.10
2014 9.30
2015 9.50
2016 9.80
2017 10.00
2018 10.20
2019 10.40
2020 10.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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