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

The value for Mortality rate, infant, male (per 1,000 live births) in Libya was 10.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 172.00 in 1960 and a minimum value of 10.50 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 172.00
1961 163.40
1962 155.10
1963 147.40
1964 139.80
1965 132.60
1966 125.70
1967 119.20
1968 113.20
1969 107.30
1970 101.90
1971 96.60
1972 91.70
1973 86.90
1974 82.40
1975 78.30
1976 74.50
1977 70.90
1978 67.70
1979 64.70
1980 62.10
1981 59.50
1982 57.00
1983 54.60
1984 52.20
1985 49.90
1986 47.70
1987 45.40
1988 43.20
1989 41.10
1990 39.10
1991 37.20
1992 35.50
1993 34.00
1994 32.60
1995 31.40
1996 30.30
1997 29.30
1998 28.30
1999 27.50
2000 26.70
2001 26.00
2002 25.20
2003 24.30
2004 23.30
2005 22.10
2006 20.70
2007 19.30
2008 17.90
2009 16.70
2010 15.80
2011 16.40
2012 14.30
2013 13.70
2014 13.10
2015 12.60
2016 12.10
2017 11.70
2018 11.30
2019 10.90
2020 10.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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