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

The value for Mortality rate, under-5, female (per 1,000 live births) in Libya was 10.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 271.70 in 1960 and a minimum value of 10.00 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 271.70
1961 253.80
1962 237.10
1963 221.50
1964 206.60
1965 192.10
1966 178.40
1967 165.40
1968 153.20
1969 141.70
1970 131.00
1971 121.20
1972 112.30
1973 104.10
1974 96.70
1975 90.20
1976 84.20
1977 79.00
1978 74.30
1979 70.00
1980 66.20
1981 62.60
1982 59.30
1983 56.30
1984 53.40
1985 50.60
1986 47.90
1987 45.30
1988 42.80
1989 40.40
1990 38.10
1991 36.10
1992 34.30
1993 32.60
1994 31.10
1995 29.90
1996 28.80
1997 27.70
1998 26.80
1999 26.00
2000 25.20
2001 24.40
2002 23.70
2003 22.80
2004 21.80
2005 20.60
2006 19.30
2007 18.00
2008 16.70
2009 15.70
2010 14.80
2011 17.70
2012 13.40
2013 12.90
2014 12.30
2015 11.90
2016 11.40
2017 11.00
2018 10.70
2019 10.30
2020 10.00

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