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

The value for Mortality rate, infant, female (per 1,000 live births) in Oman was 8.50 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 202.50 in 1963 and a minimum value of 8.50 in 2019.

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
1963 202.50
1964 193.20
1965 184.30
1966 175.60
1967 167.20
1968 159.00
1969 150.70
1970 142.70
1971 135.10
1972 127.90
1973 120.60
1974 113.40
1975 106.30
1976 99.40
1977 92.50
1978 85.60
1979 78.90
1980 72.40
1981 66.20
1982 60.30
1983 54.80
1984 49.90
1985 45.40
1986 41.30
1987 37.60
1988 34.20
1989 31.30
1990 28.60
1991 26.10
1992 23.80
1993 21.80
1994 19.90
1995 18.30
1996 16.90
1997 15.60
1998 14.50
1999 13.50
2000 12.60
2001 11.80
2002 11.20
2003 10.60
2004 10.20
2005 9.80
2006 9.60
2007 9.40
2008 9.20
2009 9.10
2010 9.00
2011 8.90
2012 8.80
2013 8.70
2014 8.60
2015 8.60
2016 8.60
2017 8.60
2018 8.60
2019 8.50
2020 8.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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