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

The value for Mortality rate, infant, female (per 1,000 live births) in Libya was 8.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 151.80 in 1960 and a minimum value of 8.50 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 151.80
1961 144.20
1962 136.70
1963 129.70
1964 122.90
1965 116.40
1966 110.10
1967 104.10
1968 98.40
1969 93.10
1970 88.00
1971 83.30
1972 78.80
1973 74.50
1974 70.30
1975 66.60
1976 63.20
1977 60.00
1978 57.10
1979 54.50
1980 52.00
1981 49.70
1982 47.50
1983 45.50
1984 43.50
1985 41.50
1986 39.60
1987 37.60
1988 35.80
1989 33.90
1990 32.20
1991 30.50
1992 29.00
1993 27.60
1994 26.40
1995 25.40
1996 24.40
1997 23.60
1998 22.80
1999 22.10
2000 21.40
2001 20.80
2002 20.10
2003 19.40
2004 18.50
2005 17.50
2006 16.40
2007 15.20
2008 14.20
2009 13.30
2010 12.50
2011 13.40
2012 11.40
2013 10.90
2014 10.50
2015 10.10
2016 9.70
2017 9.40
2018 9.00
2019 8.80
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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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