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

The value for Mortality rate, under-5, male (per 1,000 live births) in Egypt was 20.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 314.20 in 1960 and a minimum value of 20.70 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
1960 314.20
1961 304.10
1962 293.70
1963 283.60
1964 274.50
1965 266.20
1966 259.30
1967 253.40
1968 248.80
1969 244.80
1970 241.10
1971 237.40
1972 233.20
1973 227.70
1974 220.80
1975 212.80
1976 203.70
1977 194.20
1978 184.60
1979 175.20
1980 166.00
1981 156.60
1982 147.10
1983 137.40
1984 127.60
1985 118.10
1986 109.30
1987 101.70
1988 95.30
1989 90.00
1990 85.40
1991 81.20
1992 77.20
1993 73.30
1994 69.30
1995 65.30
1996 61.50
1997 57.80
1998 54.30
1999 51.10
2000 48.30
2001 45.60
2002 43.20
2003 41.00
2004 39.10
2005 37.40
2006 35.80
2007 34.30
2008 32.90
2009 31.50
2010 30.20
2011 29.00
2012 27.80
2013 26.70
2014 25.70
2015 24.70
2016 23.80
2017 23.00
2018 22.20
2019 21.40
2020 20.70

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