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

The value for Mortality rate, under-5, female (per 1,000 live births) in Uganda was 38.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 209.00 in 1960 and a minimum value of 38.70 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 209.00
1961 205.60
1962 202.30
1963 198.90
1964 195.70
1965 192.40
1966 189.00
1967 185.70
1968 183.00
1969 180.50
1970 179.00
1971 178.90
1972 179.80
1973 181.90
1974 184.90
1975 188.80
1976 193.30
1977 197.80
1978 201.80
1979 204.40
1980 206.30
1981 204.80
1982 200.60
1983 194.80
1984 189.30
1985 185.00
1986 181.80
1987 179.30
1988 177.00
1989 174.10
1990 170.60
1991 166.40
1992 162.40
1993 158.50
1994 155.70
1995 153.40
1996 151.20
1997 148.50
1998 145.20
1999 140.40
2000 134.70
2001 128.30
2002 121.10
2003 113.50
2004 105.70
2005 98.20
2006 91.20
2007 85.00
2008 79.30
2009 74.30
2010 69.50
2011 65.10
2012 60.40
2013 56.30
2014 53.00
2015 50.10
2016 47.10
2017 44.70
2018 42.50
2019 40.50
2020 38.70

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