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

The value for Mortality rate, infant, male (per 1,000 live births) in Algeria was 20.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 152.70 in 1966 and a minimum value of 20.70 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 151.10
1961 151.20
1962 151.20
1963 151.50
1964 152.00
1965 152.40
1966 152.70
1967 152.60
1968 152.00
1969 150.90
1970 149.10
1971 146.70
1972 143.80
1973 140.30
1974 136.20
1975 131.90
1976 127.30
1977 122.50
1978 117.40
1979 112.00
1980 105.70
1981 98.20
1982 90.20
1983 81.40
1984 72.20
1985 64.20
1986 57.70
1987 52.60
1988 49.10
1989 46.70
1990 45.20
1991 44.00
1992 43.00
1993 42.10
1994 41.20
1995 40.30
1996 39.40
1997 38.70
1998 38.10
1999 37.40
2000 36.70
2001 35.90
2002 35.30
2003 33.60
2004 32.00
2005 30.60
2006 29.20
2007 27.90
2008 26.60
2009 25.80
2010 25.00
2011 24.30
2012 23.80
2013 23.40
2014 23.20
2015 22.90
2016 22.60
2017 22.30
2018 21.80
2019 21.30
2020 20.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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