Jordan - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in Jordan was 13.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 156.10 in 1960 and a minimum value of 13.60 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified 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 156.10
1961 147.10
1962 138.70
1963 130.90
1964 123.60
1965 116.90
1966 110.80
1967 105.00
1968 99.70
1969 94.60
1970 89.80
1971 85.30
1972 81.10
1973 77.10
1974 73.20
1975 69.50
1976 66.10
1977 62.80
1978 59.80
1979 56.80
1980 54.00
1981 51.40
1982 48.90
1983 46.50
1984 44.20
1985 42.00
1986 40.10
1987 38.30
1988 36.60
1989 35.10
1990 33.80
1991 32.50
1992 31.30
1993 30.30
1994 29.30
1995 28.40
1996 27.50
1997 26.70
1998 26.00
1999 25.20
2000 24.50
2001 23.80
2002 23.00
2003 22.30
2004 21.70
2005 21.00
2006 20.40
2007 19.80
2008 19.20
2009 18.70
2010 18.10
2011 17.60
2012 17.10
2013 16.70
2014 16.20
2015 15.80
2016 15.30
2017 14.90
2018 14.40
2019 14.00
2020 13.60

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