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

The value for Mortality rate, under-5 (per 1,000 live births) in Brazil was 14.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 169.80 in 1960 and a minimum value of 14.70 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 169.80
1961 165.20
1962 160.70
1963 156.50
1964 152.70
1965 149.20
1966 146.00
1967 142.80
1968 139.70
1969 136.50
1970 133.10
1971 129.70
1972 126.30
1973 122.90
1974 119.50
1975 116.10
1976 112.60
1977 108.90
1978 104.90
1979 100.70
1980 96.30
1981 91.90
1982 87.70
1983 83.80
1984 80.30
1985 77.00
1986 74.00
1987 71.20
1988 68.50
1989 65.80
1990 63.10
1991 60.40
1992 57.40
1993 54.30
1994 51.10
1995 48.00
1996 45.00
1997 42.20
1998 39.60
1999 37.10
2000 34.70
2001 32.50
2002 30.40
2003 28.40
2004 26.50
2005 24.80
2006 23.20
2007 21.80
2008 20.60
2009 19.50
2010 18.60
2011 17.90
2012 17.20
2013 16.70
2014 16.30
2015 15.90
2016 16.70
2017 15.40
2018 15.20
2019 14.90
2020 14.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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