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

The value for Mortality rate, infant, male (per 1,000 live births) in Ethiopia was 40.20 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 159.80 in 1966 and a minimum value of 40.20 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
1966 159.80
1967 159.40
1968 159.30
1969 159.30
1970 159.00
1971 158.80
1972 158.70
1973 158.60
1974 158.50
1975 158.30
1976 158.10
1977 158.00
1978 157.60
1979 156.80
1980 155.70
1981 154.00
1982 151.90
1983 149.60
1984 146.60
1985 143.90
1986 141.20
1987 138.60
1988 136.30
1989 134.00
1990 131.50
1991 128.90
1992 125.90
1993 122.40
1994 118.70
1995 115.00
1996 111.20
1997 107.50
1998 103.80
1999 100.50
2000 97.10
2001 93.50
2002 89.80
2003 86.00
2004 82.10
2005 78.20
2006 74.50
2007 71.00
2008 67.70
2009 64.60
2010 61.60
2011 58.90
2012 56.20
2013 53.70
2014 51.40
2015 49.10
2016 47.00
2017 45.00
2018 43.20
2019 41.60
2020 40.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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