Bangladesh - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Bangladesh was 29.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 371.30 in 1971 and a minimum value of 29.10 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 262.60
1961 256.20
1962 250.40
1963 245.10
1964 240.50
1965 236.50
1966 233.50
1967 231.30
1968 229.70
1969 228.70
1970 273.80
1971 371.30
1972 227.70
1973 227.10
1974 225.90
1975 224.20
1976 221.80
1977 218.60
1978 214.90
1979 210.50
1980 205.70
1981 200.70
1982 195.30
1983 189.70
1984 183.90
1985 177.80
1986 171.50
1987 165.10
1988 158.70
1989 152.40
1990 146.10
1991 139.80
1992 133.50
1993 127.20
1994 120.90
1995 114.70
1996 108.60
1997 102.60
1998 96.80
1999 91.30
2000 86.00
2001 81.10
2002 76.50
2003 72.30
2004 68.30
2005 64.60
2006 61.00
2007 57.80
2008 54.70
2009 51.80
2010 49.10
2011 46.70
2012 44.40
2013 42.20
2014 40.10
2015 38.10
2016 36.10
2017 34.20
2018 32.40
2019 30.70
2020 29.10

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