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

The value for Mortality rate, under-5, male (per 1,000 live births) in Mali was 96.30 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 434.10 in 1963 and a minimum value of 96.30 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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
1963 434.10
1964 426.60
1965 419.20
1966 412.50
1967 405.70
1968 399.30
1969 393.20
1970 387.50
1971 381.50
1972 375.00
1973 368.20
1974 360.30
1975 352.00
1976 343.50
1977 334.80
1978 326.00
1979 317.50
1980 309.00
1981 300.80
1982 292.60
1983 284.50
1984 276.50
1985 268.80
1986 261.60
1987 255.20
1988 249.50
1989 244.10
1990 239.30
1991 234.80
1992 230.90
1993 227.60
1994 224.10
1995 220.50
1996 216.50
1997 212.10
1998 207.00
1999 201.30
2000 195.00
2001 188.50
2002 181.90
2003 175.30
2004 168.90
2005 163.00
2006 157.40
2007 152.00
2008 146.70
2009 141.50
2010 136.60
2011 131.70
2012 127.10
2013 122.60
2014 118.20
2015 114.10
2016 110.10
2017 106.50
2018 102.90
2019 99.50
2020 96.30

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