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

The value for Mortality rate, infant, female (per 1,000 live births) in Jordan was 11.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 105.80 in 1960 and a minimum value of 11.60 in 2020.

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
1960 105.80
1961 100.30
1962 95.10
1963 90.30
1964 85.80
1965 81.70
1966 77.80
1967 74.30
1968 70.90
1969 67.80
1970 64.80
1971 62.00
1972 59.50
1973 57.00
1974 54.50
1975 52.20
1976 50.00
1977 47.90
1978 45.80
1979 43.80
1980 42.00
1981 40.20
1982 38.40
1983 36.70
1984 35.10
1985 33.60
1986 32.20
1987 30.90
1988 29.70
1989 28.60
1990 27.60
1991 26.70
1992 25.80
1993 25.00
1994 24.20
1995 23.60
1996 22.90
1997 22.30
1998 21.70
1999 21.10
2000 20.50
2001 19.90
2002 19.40
2003 18.80
2004 18.30
2005 17.70
2006 17.30
2007 16.80
2008 16.30
2009 15.80
2010 15.40
2011 15.00
2012 14.60
2013 14.20
2014 13.80
2015 13.50
2016 13.10
2017 12.70
2018 12.40
2019 12.00
2020 11.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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