Burundi - Mortality rate, infant, female (per 1,000 live births)

The value for Mortality rate, infant, female (per 1,000 live births) in Burundi was 34.40 as of 2020. As the graph below shows, over the past 56 years this indicator reached a maximum value of 152.80 in 1972 and a minimum value of 34.40 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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
1964 132.00
1965 132.90
1966 134.20
1967 135.30
1968 136.20
1969 136.90
1970 137.30
1971 137.60
1972 152.80
1973 137.70
1974 137.50
1975 137.20
1976 136.20
1977 134.40
1978 131.20
1979 126.90
1980 121.80
1981 116.40
1982 110.70
1983 105.30
1984 100.50
1985 96.90
1986 94.50
1987 93.10
1988 92.90
1989 93.20
1990 93.80
1991 94.50
1992 95.00
1993 100.10
1994 95.40
1995 95.00
1996 94.20
1997 92.90
1998 91.00
1999 88.70
2000 86.20
2001 83.50
2002 80.60
2003 77.60
2004 74.30
2005 70.70
2006 66.90
2007 63.20
2008 59.60
2009 56.30
2010 53.10
2011 50.30
2012 47.60
2013 45.20
2014 42.90
2015 41.10
2016 39.40
2017 38.00
2018 36.60
2019 35.40
2020 34.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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