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

The value for Mortality rate, infant, male (per 1,000 live births) in Sudan was 44.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 121.60 in 1983 and a minimum value of 44.30 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 114.30
1961 112.80
1962 111.30
1963 109.80
1964 108.50
1965 107.30
1966 106.20
1967 105.20
1968 104.40
1969 103.70
1970 103.10
1971 102.60
1972 102.10
1973 101.60
1974 101.10
1975 100.60
1976 100.00
1977 99.50
1978 98.90
1979 98.30
1980 97.90
1981 97.40
1982 96.90
1983 121.60
1984 120.30
1985 119.00
1986 94.30
1987 93.40
1988 92.40
1989 91.30
1990 90.10
1991 88.80
1992 87.50
1993 86.20
1994 84.70
1995 83.30
1996 81.70
1997 80.00
1998 78.10
1999 76.10
2000 74.00
2001 71.90
2002 69.80
2003 67.80
2004 65.80
2005 63.90
2006 62.20
2007 60.50
2008 59.00
2009 57.60
2010 56.30
2011 55.00
2012 53.80
2013 52.60
2014 51.40
2015 50.20
2016 48.90
2017 47.80
2018 46.60
2019 45.40
2020 44.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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