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

The value for Mortality rate, under-5, female (per 1,000 live births) in Uruguay was 5.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 57.30 in 1960 and a minimum value of 5.60 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 57.30
1961 55.90
1962 54.40
1963 52.90
1964 52.00
1965 51.50
1966 51.20
1967 50.80
1968 50.10
1969 49.10
1970 48.00
1971 47.30
1972 47.60
1973 48.30
1974 49.30
1975 49.80
1976 49.20
1977 47.30
1978 43.80
1979 39.70
1980 35.60
1981 32.00
1982 29.30
1983 27.50
1984 26.30
1985 25.30
1986 24.40
1987 23.30
1988 22.20
1989 21.20
1990 20.40
1991 19.70
1992 19.20
1993 18.80
1994 18.50
1995 18.00
1996 17.40
1997 16.80
1998 16.10
1999 15.50
2000 15.00
2001 14.60
2002 14.30
2003 13.90
2004 13.40
2005 12.70
2006 12.00
2007 11.20
2008 10.50
2009 10.00
2010 9.50
2011 9.20
2012 8.80
2013 8.60
2014 8.20
2015 7.90
2016 7.50
2017 7.00
2018 6.50
2019 6.00
2020 5.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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