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

The value for Mortality rate, under-5 (per 1,000 live births) in Senegal was 38.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 298.20 in 1965 and a minimum value of 38.10 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 296.30
1961 296.20
1962 296.50
1963 297.30
1964 298.00
1965 298.20
1966 297.80
1967 296.80
1968 295.10
1969 292.70
1970 289.00
1971 284.00
1972 277.80
1973 270.70
1974 262.50
1975 253.10
1976 242.80
1977 232.20
1978 222.00
1979 212.70
1980 204.70
1981 198.10
1982 192.00
1983 186.00
1984 179.40
1985 171.80
1986 163.30
1987 155.00
1988 147.80
1989 142.10
1990 138.30
1991 136.40
1992 135.90
1993 136.40
1994 137.40
1995 138.40
1996 139.00
1997 138.80
1998 137.50
1999 134.50
2000 129.50
2001 122.90
2002 115.10
2003 107.00
2004 99.10
2005 91.80
2006 85.20
2007 79.40
2008 74.30
2009 69.80
2010 65.70
2011 62.10
2012 58.70
2013 55.40
2014 52.30
2015 49.40
2016 46.50
2017 44.00
2018 41.70
2019 39.70
2020 38.10

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