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

The value for Mortality rate, under-5, male (per 1,000 live births) in Uruguay was 6.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 69.40 in 1960 and a minimum value of 6.80 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 69.40
1961 68.20
1962 66.70
1963 65.40
1964 64.40
1965 63.70
1966 63.20
1967 62.70
1968 62.00
1969 60.90
1970 59.70
1971 58.70
1972 58.60
1973 59.40
1974 60.20
1975 60.40
1976 59.40
1977 56.70
1978 52.90
1979 48.30
1980 43.50
1981 39.40
1982 36.30
1983 34.20
1984 32.60
1985 31.50
1986 30.30
1987 29.00
1988 27.60
1989 26.40
1990 25.30
1991 24.60
1992 24.10
1993 23.70
1994 23.30
1995 22.80
1996 22.20
1997 21.30
1998 20.30
1999 19.50
2000 18.90
2001 18.40
2002 18.00
2003 17.50
2004 16.80
2005 15.90
2006 14.90
2007 14.00
2008 13.10
2009 12.40
2010 11.80
2011 11.40
2012 11.10
2013 10.70
2014 10.30
2015 9.80
2016 9.30
2017 8.70
2018 8.00
2019 7.40
2020 6.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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