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

The value for Mortality rate, infant (per 1,000 live births) in Algeria was 19.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 147.70 in 1967 and a minimum value of 19.50 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 145.80
1961 145.80
1962 146.00
1963 146.50
1964 146.90
1965 147.40
1966 147.70
1967 147.70
1968 147.20
1969 146.20
1970 144.60
1971 142.30
1972 139.40
1973 135.90
1974 132.10
1975 127.80
1976 123.30
1977 118.60
1978 113.60
1979 108.20
1980 102.00
1981 94.70
1982 86.40
1983 77.10
1984 67.70
1985 59.50
1986 53.10
1987 48.40
1988 45.10
1989 42.90
1990 41.50
1991 40.40
1992 39.50
1993 38.70
1994 37.80
1995 36.90
1996 36.10
1997 35.40
1998 34.80
1999 34.40
2000 33.90
2001 33.30
2002 32.40
2003 31.30
2004 30.10
2005 28.80
2006 27.60
2007 26.40
2008 25.30
2009 24.40
2010 23.60
2011 22.90
2012 22.50
2013 22.10
2014 21.90
2015 21.60
2016 21.30
2017 20.90
2018 20.40
2019 20.00
2020 19.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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