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

The value for Mortality rate, infant (per 1,000 live births) in Uganda was 31.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 131.70 in 1960 and a minimum value of 31.90 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 131.70
1961 129.60
1962 127.70
1963 125.70
1964 123.90
1965 122.00
1966 120.30
1967 118.40
1968 116.80
1969 115.50
1970 114.80
1971 114.60
1972 115.00
1973 116.10
1974 117.80
1975 120.10
1976 122.60
1977 125.20
1978 127.40
1979 128.90
1980 130.10
1981 129.30
1982 126.80
1983 123.50
1984 120.10
1985 117.40
1986 115.00
1987 113.00
1988 111.20
1989 109.40
1990 107.10
1991 104.80
1992 102.30
1993 100.20
1994 98.50
1995 97.30
1996 96.20
1997 94.80
1998 92.90
1999 90.30
2000 87.10
2001 83.40
2002 79.20
2003 74.70
2004 70.00
2005 65.60
2006 61.60
2007 57.90
2008 54.50
2009 52.10
2010 49.50
2011 47.00
2012 44.30
2013 42.40
2014 40.60
2015 38.90
2016 37.30
2017 35.70
2018 34.10
2019 33.00
2020 31.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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