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

The value for Mortality rate, under-5, male (per 1,000 live births) in Ethiopia was 54.20 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 262.50 in 1966 and a minimum value of 54.20 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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
1966 262.50
1967 262.10
1968 261.30
1969 261.20
1970 260.80
1971 260.50
1972 260.30
1973 260.20
1974 260.00
1975 259.80
1976 259.40
1977 259.10
1978 258.50
1979 257.10
1980 255.00
1981 252.40
1982 249.00
1983 245.00
1984 240.40
1985 235.70
1986 231.20
1987 226.70
1988 222.50
1989 218.30
1990 213.80
1991 208.70
1992 203.20
1993 197.00
1994 190.20
1995 183.30
1996 176.40
1997 169.70
1998 163.30
1999 157.20
2000 151.10
2001 144.70
2002 138.20
2003 131.50
2004 124.70
2005 118.00
2006 111.60
2007 105.50
2008 99.90
2009 94.70
2010 89.70
2011 85.10
2012 80.70
2013 76.60
2014 72.60
2015 68.80
2016 65.30
2017 61.90
2018 59.00
2019 56.40
2020 54.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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