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

The value for Mortality rate, neonatal (per 1,000 live births) in Senegal was 20.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 62.50 in 1960 and a minimum value of 20.60 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 62.50
1961 61.70
1962 60.90
1963 60.10
1964 59.30
1965 58.50
1966 57.70
1967 57.00
1968 56.30
1969 55.60
1970 55.00
1971 54.40
1972 53.80
1973 53.20
1974 52.50
1975 51.70
1976 50.70
1977 49.70
1978 48.60
1979 47.70
1980 47.00
1981 46.40
1982 45.90
1983 45.30
1984 44.60
1985 43.80
1986 42.90
1987 42.00
1988 41.20
1989 40.60
1990 40.30
1991 40.10
1992 40.10
1993 40.20
1994 40.20
1995 40.20
1996 40.20
1997 40.00
1998 39.60
1999 39.10
2000 38.20
2001 37.20
2002 36.00
2003 34.70
2004 33.40
2005 32.10
2006 30.80
2007 29.60
2008 28.60
2009 27.60
2010 26.80
2011 26.00
2012 25.30
2013 24.70
2014 24.20
2015 23.70
2016 23.10
2017 22.40
2018 21.80
2019 21.10
2020 20.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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