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

The value for Mortality rate, neonatal (per 1,000 live births) in Bangladesh was 17.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 102.70 in 1960 and a minimum value of 17.50 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 102.70
1961 101.00
1962 99.30
1963 97.70
1964 96.20
1965 95.10
1966 94.20
1967 93.70
1968 93.40
1969 93.50
1970 94.40
1971 96.30
1972 94.10
1973 94.30
1974 94.40
1975 94.30
1976 94.00
1977 93.30
1978 92.20
1979 90.80
1980 89.10
1981 86.90
1982 84.50
1983 81.90
1984 79.30
1985 76.80
1986 74.50
1987 72.30
1988 70.10
1989 67.80
1990 65.60
1991 63.30
1992 61.10
1993 58.80
1994 56.40
1995 54.20
1996 52.00
1997 49.90
1998 47.90
1999 45.90
2000 44.00
2001 42.20
2002 40.40
2003 38.80
2004 37.30
2005 35.90
2006 34.50
2007 33.10
2008 31.80
2009 30.60
2010 29.40
2011 28.20
2012 27.10
2013 25.90
2014 24.80
2015 23.60
2016 22.40
2017 20.90
2018 19.70
2019 18.50
2020 17.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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