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

The value for Mortality rate, infant, male (per 1,000 live births) in Oman was 10.40 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 230.40 in 1963 and a minimum value of 10.40 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
1963 230.40
1964 219.80
1965 209.40
1966 199.70
1967 189.90
1968 180.70
1969 171.30
1970 162.10
1971 153.70
1972 145.70
1973 137.80
1974 130.00
1975 122.30
1976 114.80
1977 107.20
1978 99.60
1979 92.10
1980 84.90
1981 78.00
1982 71.50
1983 65.30
1984 59.70
1985 54.40
1986 49.70
1987 45.40
1988 41.50
1989 38.10
1990 35.00
1991 32.00
1992 29.30
1993 26.90
1994 24.70
1995 22.70
1996 20.90
1997 19.40
1998 18.00
1999 16.70
2000 15.60
2001 14.60
2002 13.80
2003 13.10
2004 12.60
2005 12.10
2006 11.80
2007 11.50
2008 11.40
2009 11.20
2010 11.10
2011 10.90
2012 10.80
2013 10.70
2014 10.60
2015 10.60
2016 10.60
2017 10.50
2018 10.50
2019 10.50
2020 10.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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