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

The value for Mortality rate, under-5 (per 1,000 live births) in Ethiopia was 48.70 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 249.00 in 1966 and a minimum value of 48.70 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
1966 249.00
1967 248.50
1968 247.90
1969 247.60
1970 247.10
1971 246.70
1972 246.30
1973 246.00
1974 245.90
1975 245.60
1976 245.20
1977 244.70
1978 243.80
1979 242.40
1980 240.50
1981 237.80
1982 234.50
1983 230.60
1984 226.40
1985 222.10
1986 217.90
1987 213.90
1988 210.00
1989 205.80
1990 201.30
1991 196.40
1992 191.00
1993 184.90
1994 178.40
1995 171.70
1996 165.10
1997 158.70
1998 152.50
1999 146.50
2000 140.70
2001 134.60
2002 128.30
2003 121.80
2004 115.30
2005 108.90
2006 102.80
2007 97.00
2008 91.60
2009 86.70
2010 82.00
2011 77.70
2012 73.50
2013 69.60
2014 65.90
2015 62.40
2016 59.00
2017 55.90
2018 53.20
2019 50.80
2020 48.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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