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

The value for Mortality rate, infant (per 1,000 live births) in Afghanistan was 45.00 as of 2020. As the graph below shows, over the past 59 years this indicator reached a maximum value of 237.50 in 1961 and a minimum value of 45.00 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
1961 237.50
1962 233.20
1963 229.20
1964 225.30
1965 221.50
1966 217.70
1967 213.80
1968 209.90
1969 206.20
1970 202.20
1971 198.40
1972 194.50
1973 190.70
1974 186.70
1975 182.70
1976 178.80
1977 174.90
1978 170.80
1979 166.50
1980 162.40
1981 158.20
1982 153.90
1983 149.60
1984 145.40
1985 141.30
1986 137.20
1987 133.00
1988 128.90
1989 124.80
1990 120.80
1991 117.10
1992 113.50
1993 110.10
1994 106.90
1995 103.90
1996 101.00
1997 98.20
1998 95.60
1999 93.00
2000 90.50
2001 87.90
2002 85.30
2003 82.70
2004 80.00
2005 77.30
2006 74.60
2007 71.90
2008 69.20
2009 66.70
2010 64.20
2011 61.80
2012 59.50
2013 57.30
2014 55.20
2015 53.20
2016 51.30
2017 49.50
2018 47.90
2019 46.40
2020 45.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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