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

The value for Mortality rate, neonatal (per 1,000 live births) in Benin was 29.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 64.10 in 1960 and a minimum value of 29.70 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 64.10
1961 63.70
1962 63.30
1963 62.80
1964 62.20
1965 61.60
1966 60.90
1967 60.30
1968 59.70
1969 59.00
1970 58.40
1971 57.70
1972 57.10
1973 56.40
1974 55.70
1975 55.00
1976 54.30
1977 53.70
1978 53.00
1979 52.30
1980 51.60
1981 50.90
1982 50.20
1983 49.60
1984 49.00
1985 48.40
1986 47.80
1987 47.20
1988 46.50
1989 45.90
1990 45.20
1991 44.40
1992 43.70
1993 43.00
1994 42.40
1995 41.90
1996 41.40
1997 40.90
1998 40.40
1999 39.70
2000 39.00
2001 38.30
2002 37.60
2003 36.80
2004 36.20
2005 35.80
2006 35.30
2007 35.00
2008 34.60
2009 34.30
2010 33.90
2011 33.50
2012 33.10
2013 32.70
2014 32.30
2015 31.90
2016 31.50
2017 31.10
2018 30.60
2019 30.20
2020 29.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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