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

The value for Mortality rate, under-5, female (per 1,000 live births) in Senegal was 34.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 292.60 in 1965 and a minimum value of 34.20 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 290.60
1961 290.40
1962 290.70
1963 291.50
1964 292.20
1965 292.60
1966 292.30
1967 291.40
1968 289.80
1969 287.60
1970 283.90
1971 278.70
1972 272.50
1973 265.30
1974 257.00
1975 247.10
1976 236.40
1977 225.60
1978 215.00
1979 205.50
1980 197.40
1981 190.50
1982 184.40
1983 178.30
1984 171.50
1985 164.00
1986 155.70
1987 147.60
1988 140.50
1989 135.00
1990 131.30
1991 129.40
1992 129.00
1993 129.50
1994 130.50
1995 131.50
1996 132.20
1997 131.90
1998 130.60
1999 127.70
2000 122.90
2001 116.40
2002 108.80
2003 100.90
2004 93.30
2005 86.20
2006 79.80
2007 74.10
2008 69.10
2009 64.70
2010 60.80
2011 57.20
2012 53.80
2013 50.70
2014 47.70
2015 44.90
2016 42.10
2017 39.70
2018 37.60
2019 35.80
2020 34.20

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