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

The value for Mortality rate, infant, female (per 1,000 live births) in Egypt was 15.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 208.50 in 1960 and a minimum value of 15.40 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
1960 208.50
1961 201.80
1962 195.20
1963 188.80
1964 183.00
1965 177.70
1966 173.30
1967 169.70
1968 166.80
1969 164.50
1970 162.50
1971 160.20
1972 157.30
1973 153.60
1974 148.70
1975 143.00
1976 136.80
1977 130.40
1978 124.00
1979 117.90
1980 112.00
1981 106.10
1982 100.20
1983 93.90
1984 87.50
1985 81.20
1986 75.70
1987 71.00
1988 66.90
1989 63.70
1990 60.90
1991 58.40
1992 55.90
1993 53.30
1994 50.40
1995 47.50
1996 44.60
1997 41.90
1998 39.40
1999 37.10
2000 35.00
2001 33.20
2002 31.50
2003 30.10
2004 28.80
2005 27.60
2006 26.50
2007 25.40
2008 24.40
2009 23.40
2010 22.40
2011 21.50
2012 20.60
2013 19.80
2014 19.10
2015 18.40
2016 17.70
2017 17.10
2018 16.50
2019 16.00
2020 15.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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