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

The value for Mortality rate, under-5 (per 1,000 live births) in Mali was 91.00 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 425.00 in 1963 and a minimum value of 91.00 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
1963 425.00
1964 417.60
1965 410.20
1966 403.60
1967 397.10
1968 390.90
1969 384.70
1970 379.00
1971 372.80
1972 366.20
1973 359.40
1974 352.00
1975 343.90
1976 335.40
1977 326.70
1978 318.20
1979 309.80
1980 301.50
1981 293.20
1982 285.00
1983 276.80
1984 268.80
1985 261.20
1986 254.10
1987 247.40
1988 241.30
1989 235.70
1990 230.70
1991 226.20
1992 222.30
1993 218.80
1994 215.30
1995 211.80
1996 208.10
1997 203.80
1998 199.00
1999 193.40
2000 187.40
2001 181.10
2002 174.70
2003 168.30
2004 162.20
2005 156.40
2006 150.80
2007 145.40
2008 140.20
2009 135.10
2010 130.30
2011 125.60
2012 121.00
2013 116.60
2014 112.40
2015 108.30
2016 104.50
2017 100.90
2018 97.40
2019 94.20
2020 91.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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