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

The value for Mortality rate, under-5 (per 1,000 live births) in Uganda was 43.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 222.90 in 1960 and a minimum value of 43.30 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 222.90
1961 219.20
1962 215.60
1963 212.00
1964 208.80
1965 205.40
1966 202.10
1967 198.80
1968 195.90
1969 193.30
1970 192.00
1971 191.70
1972 192.50
1973 194.50
1974 197.70
1975 201.80
1976 206.40
1977 211.00
1978 215.10
1979 217.80
1980 219.80
1981 218.20
1982 213.70
1983 207.80
1984 201.90
1985 197.50
1986 194.20
1987 191.80
1988 189.50
1989 186.70
1990 183.10
1991 178.90
1992 174.50
1993 170.70
1994 167.60
1995 165.40
1996 163.20
1997 160.50
1998 156.90
1999 152.10
2000 146.10
2001 139.30
2002 131.60
2003 123.50
2004 115.10
2005 107.10
2006 99.60
2007 92.80
2008 86.80
2009 81.50
2010 76.30
2011 71.60
2012 66.70
2013 62.30
2014 58.80
2015 55.70
2016 52.40
2017 49.90
2018 47.40
2019 45.30
2020 43.30

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