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

The value for Mortality rate, under-5 (per 1,000 live births) in Sudan was 56.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 187.80 in 1983 and a minimum value of 56.60 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 176.70
1961 174.00
1962 171.20
1963 168.70
1964 166.40
1965 164.20
1966 162.30
1967 160.60
1968 159.10
1969 158.00
1970 156.90
1971 156.00
1972 155.10
1973 154.20
1974 153.30
1975 152.40
1976 151.30
1977 150.20
1978 149.00
1979 147.90
1980 146.70
1981 145.70
1982 144.60
1983 187.80
1984 185.40
1985 182.90
1986 139.40
1987 137.70
1988 135.80
1989 133.80
1990 131.70
1991 129.40
1992 127.10
1993 124.70
1994 122.20
1995 119.60
1996 116.90
1997 114.00
1998 110.90
1999 107.70
2000 104.30
2001 100.90
2002 97.40
2003 94.20
2004 91.00
2005 88.10
2006 85.30
2007 82.70
2008 80.20
2009 77.90
2010 75.70
2011 73.70
2012 71.70
2013 69.80
2014 67.90
2015 65.90
2016 63.90
2017 62.00
2018 60.10
2019 58.40
2020 56.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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