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

The value for Mortality rate, infant, male (per 1,000 live births) in Mali was 64.00 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 220.20 in 1963 and a minimum value of 64.00 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
1963 220.20
1964 216.70
1965 213.20
1966 210.20
1967 207.00
1968 204.00
1969 201.10
1970 198.30
1971 195.40
1972 192.20
1973 189.00
1974 185.20
1975 181.30
1976 177.30
1977 173.20
1978 169.10
1979 165.20
1980 161.10
1981 157.30
1982 153.50
1983 149.70
1984 146.00
1985 142.30
1986 139.00
1987 136.30
1988 133.70
1989 131.30
1990 129.10
1991 127.10
1992 125.20
1993 123.50
1994 122.00
1995 120.40
1996 118.70
1997 116.60
1998 114.30
1999 111.80
2000 108.90
2001 106.10
2002 103.20
2003 100.20
2004 97.30
2005 94.70
2006 92.20
2007 89.80
2008 87.50
2009 85.20
2010 82.90
2011 80.70
2012 78.60
2013 76.40
2014 74.40
2015 72.60
2016 70.70
2017 68.90
2018 67.20
2019 65.50
2020 64.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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