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

The value for Mortality rate, infant (per 1,000 live births) in Senegal was 28.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 129.20 in 1965 and a minimum value of 28.90 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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 128.50
1961 128.50
1962 128.60
1963 128.80
1964 129.10
1965 129.20
1966 129.00
1967 128.70
1968 128.00
1969 127.10
1970 125.80
1971 123.90
1972 121.70
1973 119.00
1974 116.10
1975 112.60
1976 108.90
1977 105.00
1978 101.30
1979 97.90
1980 95.00
1981 92.70
1982 90.50
1983 88.30
1984 85.90
1985 83.10
1986 80.10
1987 77.00
1988 74.40
1989 72.30
1990 70.90
1991 70.20
1992 70.00
1993 70.20
1994 70.60
1995 71.00
1996 71.20
1997 71.10
1998 70.60
1999 69.50
2000 67.70
2001 65.20
2002 62.30
2003 59.20
2004 56.10
2005 53.20
2006 50.60
2007 48.20
2008 46.10
2009 44.10
2010 42.40
2011 40.70
2012 39.20
2013 37.60
2014 36.20
2015 34.70
2016 33.30
2017 32.00
2018 30.80
2019 29.80
2020 28.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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