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

The value for Mortality rate, under-5, female (per 1,000 live births) in Bangladesh was 27.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 367.20 in 1971 and a minimum value of 27.10 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 256.40
1961 250.40
1962 244.80
1963 239.80
1964 235.20
1965 231.40
1966 228.50
1967 226.50
1968 225.00
1969 224.10
1970 269.40
1971 367.20
1972 223.80
1973 223.40
1974 222.50
1975 221.00
1976 218.90
1977 216.20
1978 212.70
1979 208.60
1980 203.80
1981 198.90
1982 193.50
1983 187.70
1984 181.60
1985 175.10
1986 168.40
1987 161.80
1988 155.30
1989 148.80
1990 142.50
1991 136.00
1992 129.80
1993 123.50
1994 117.20
1995 110.80
1996 104.60
1997 98.70
1998 93.00
1999 87.50
2000 82.30
2001 77.50
2002 72.90
2003 68.70
2004 64.80
2005 61.10
2006 57.70
2007 54.50
2008 51.50
2009 48.80
2010 46.40
2011 44.10
2012 42.00
2013 39.80
2014 37.80
2015 35.80
2016 34.00
2017 32.10
2018 30.30
2019 28.60
2020 27.10

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