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

The value for Mortality rate, infant (per 1,000 live births) in Burkina Faso was 52.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 156.60 in 1960 and a minimum value of 52.80 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 156.60
1961 155.10
1962 153.70
1963 152.40
1964 151.20
1965 149.90
1966 148.80
1967 147.90
1968 147.00
1969 146.10
1970 145.00
1971 143.70
1972 141.90
1973 139.50
1974 136.30
1975 132.50
1976 128.40
1977 124.30
1978 120.60
1979 117.40
1980 114.70
1981 112.40
1982 110.50
1983 108.60
1984 106.90
1985 105.10
1986 103.20
1987 101.60
1988 100.20
1989 99.30
1990 98.70
1991 98.50
1992 98.40
1993 98.20
1994 97.90
1995 97.20
1996 96.20
1997 95.00
1998 93.70
1999 92.30
2000 90.90
2001 89.30
2002 87.60
2003 85.50
2004 83.30
2005 80.80
2006 78.10
2007 75.40
2008 72.70
2009 70.30
2010 68.10
2011 66.30
2012 64.40
2013 62.70
2014 61.20
2015 59.60
2016 58.20
2017 56.70
2018 55.40
2019 54.10
2020 52.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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