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

The value for Mortality rate, infant, male (per 1,000 live births) in Burkina Faso was 57.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 167.10 in 1960 and a minimum value of 57.50 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 167.10
1961 165.50
1962 164.10
1963 162.70
1964 161.40
1965 160.10
1966 159.00
1967 158.00
1968 157.00
1969 156.10
1970 154.90
1971 153.40
1972 151.50
1973 148.90
1974 145.50
1975 141.40
1976 137.10
1977 132.90
1978 129.00
1979 125.70
1980 122.90
1981 120.50
1982 118.30
1983 116.40
1984 114.50
1985 112.60
1986 110.80
1987 109.10
1988 107.80
1989 106.80
1990 106.10
1991 105.80
1992 105.60
1993 105.40
1994 104.90
1995 104.10
1996 103.00
1997 101.70
1998 100.40
1999 99.00
2000 97.50
2001 95.90
2002 94.10
2003 92.00
2004 89.70
2005 87.00
2006 84.10
2007 81.20
2008 78.40
2009 75.80
2010 73.50
2011 71.60
2012 69.70
2013 67.90
2014 66.30
2015 64.60
2016 63.10
2017 61.60
2018 60.10
2019 58.80
2020 57.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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