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

The value for Mortality rate, infant, female (per 1,000 live births) in Uruguay was 4.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 50.60 in 1960 and a minimum value of 4.80 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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
1960 50.60
1961 49.30
1962 47.90
1963 46.60
1964 45.70
1965 45.30
1966 45.10
1967 44.70
1968 44.00
1969 43.10
1970 42.20
1971 41.60
1972 41.80
1973 42.50
1974 43.20
1975 43.70
1976 43.20
1977 41.50
1978 38.40
1979 34.80
1980 31.20
1981 28.00
1982 25.70
1983 24.10
1984 23.00
1985 22.10
1986 21.30
1987 20.40
1988 19.30
1989 18.50
1990 17.70
1991 17.20
1992 16.70
1993 16.40
1994 16.00
1995 15.60
1996 15.10
1997 14.60
1998 13.90
1999 13.40
2000 13.00
2001 12.60
2002 12.40
2003 12.00
2004 11.60
2005 11.00
2006 10.30
2007 9.70
2008 9.10
2009 8.60
2010 8.20
2011 7.90
2012 7.60
2013 7.30
2014 7.10
2015 6.70
2016 6.40
2017 6.00
2018 5.60
2019 5.10
2020 4.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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