Bolivia - Mortality rate, neonatal (per 1,000 live births)

The value for Mortality rate, neonatal (per 1,000 live births) in Bolivia was 13.50 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 71.20 in 1966 and a minimum value of 13.50 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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
1966 71.20
1967 69.40
1968 67.30
1969 65.20
1970 63.30
1971 61.60
1972 60.20
1973 58.90
1974 57.70
1975 56.50
1976 55.10
1977 53.70
1978 52.40
1979 51.20
1980 50.20
1981 49.30
1982 48.60
1983 47.90
1984 47.10
1985 46.10
1986 45.00
1987 44.00
1988 43.00
1989 42.10
1990 41.10
1991 39.90
1992 38.90
1993 38.00
1994 37.00
1995 35.90
1996 34.70
1997 33.40
1998 32.00
1999 30.70
2000 29.60
2001 28.70
2002 28.00
2003 27.40
2004 26.80
2005 26.20
2006 25.50
2007 24.70
2008 23.70
2009 22.80
2010 21.80
2011 20.80
2012 19.90
2013 18.70
2014 17.60
2015 16.70
2016 15.90
2017 15.20
2018 14.60
2019 14.00
2020 13.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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