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

The value for Mortality rate, infant, male (per 1,000 live births) in Senegal was 32.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 137.50 in 1965 and a minimum value of 32.10 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 136.50
1961 136.50
1962 136.80
1963 137.20
1964 137.50
1965 137.50
1966 137.40
1967 137.00
1968 136.30
1969 135.40
1970 134.00
1971 132.00
1972 129.60
1973 126.90
1974 123.70
1975 120.20
1976 116.30
1977 112.30
1978 108.50
1979 104.90
1980 101.90
1981 99.40
1982 97.20
1983 94.80
1984 92.40
1985 89.50
1986 86.30
1987 83.10
1988 80.30
1989 78.10
1990 76.70
1991 76.00
1992 75.90
1993 76.20
1994 76.60
1995 77.20
1996 77.50
1997 77.50
1998 77.00
1999 75.90
2000 74.10
2001 71.50
2002 68.50
2003 65.20
2004 61.90
2005 58.70
2006 55.90
2007 53.30
2008 51.00
2009 48.90
2010 47.00
2011 45.20
2012 43.50
2013 41.80
2014 40.20
2015 38.60
2016 37.10
2017 35.60
2018 34.30
2019 33.20
2020 32.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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