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

The value for Mortality rate, infant, female (per 1,000 live births) in Ethiopia was 30.30 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 133.50 in 1966 and a minimum value of 30.30 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 133.50
1967 133.30
1968 132.90
1969 132.60
1970 132.30
1971 132.00
1972 131.80
1973 131.60
1974 131.40
1975 131.10
1976 130.90
1977 130.50
1978 130.00
1979 129.10
1980 128.00
1981 126.40
1982 124.50
1983 122.30
1984 120.10
1985 118.10
1986 116.10
1987 114.30
1988 112.10
1989 109.80
1990 107.40
1991 104.80
1992 102.00
1993 98.90
1994 95.60
1995 92.20
1996 88.90
1997 85.70
1998 82.70
1999 79.70
2000 76.70
2001 73.50
2002 70.30
2003 67.00
2004 63.60
2005 60.30
2006 57.10
2007 54.20
2008 51.40
2009 48.90
2010 46.60
2011 44.50
2012 42.40
2013 40.40
2014 38.60
2015 36.90
2016 35.30
2017 33.80
2018 32.50
2019 31.30
2020 30.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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