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

The value for Mortality rate, infant (per 1,000 live births) in Libya was 9.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 162.10 in 1960 and a minimum value of 9.50 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 162.10
1961 153.90
1962 146.30
1963 138.80
1964 131.60
1965 124.70
1966 118.20
1967 111.90
1968 106.00
1969 100.40
1970 95.20
1971 90.20
1972 85.50
1973 80.90
1974 76.50
1975 72.60
1976 68.90
1977 65.60
1978 62.50
1979 59.80
1980 57.10
1981 54.70
1982 52.40
1983 50.10
1984 48.00
1985 45.80
1986 43.70
1987 41.60
1988 39.60
1989 37.60
1990 35.70
1991 33.90
1992 32.30
1993 30.90
1994 29.60
1995 28.50
1996 27.40
1997 26.50
1998 25.60
1999 24.90
2000 24.10
2001 23.40
2002 22.70
2003 21.90
2004 21.00
2005 19.80
2006 18.60
2007 17.30
2008 16.10
2009 15.10
2010 14.20
2011 14.90
2012 12.90
2013 12.30
2014 11.80
2015 11.40
2016 11.00
2017 10.60
2018 10.20
2019 9.90
2020 9.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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