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

The value for Mortality rate, under-5, female (per 1,000 live births) in Bolivia was 22.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 278.30 in 1960 and a minimum value of 22.70 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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
1960 278.30
1961 272.20
1962 266.00
1963 259.90
1964 253.80
1965 247.70
1966 241.70
1967 235.60
1968 229.60
1969 223.40
1970 217.40
1971 211.30
1972 205.40
1973 199.20
1974 193.10
1975 187.10
1976 181.20
1977 175.50
1978 170.00
1979 165.00
1980 160.30
1981 155.90
1982 151.90
1983 147.80
1984 143.70
1985 139.40
1986 134.60
1987 129.80
1988 124.90
1989 120.20
1990 115.40
1991 110.80
1992 106.40
1993 102.00
1994 97.60
1995 93.20
1996 88.70
1997 84.30
1998 79.80
1999 75.40
2000 71.10
2001 66.80
2002 62.80
2003 58.90
2004 55.30
2005 52.00
2006 48.80
2007 45.80
2008 43.00
2009 40.50
2010 38.00
2011 35.80
2012 33.70
2013 31.70
2014 29.90
2015 28.30
2016 27.00
2017 25.80
2018 24.60
2019 23.60
2020 22.70

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