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

The value for Mortality rate, under-5 (per 1,000 live births) in Egypt was 19.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 318.40 in 1960 and a minimum value of 19.50 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
1960 318.40
1961 308.40
1962 298.20
1963 288.30
1964 279.10
1965 271.00
1966 264.10
1967 258.40
1968 253.80
1969 250.00
1970 246.50
1971 242.90
1972 238.50
1973 232.90
1974 225.70
1975 217.10
1976 207.60
1977 197.60
1978 187.70
1979 177.90
1980 168.30
1981 158.80
1982 148.90
1983 138.90
1984 128.70
1985 118.80
1986 109.90
1987 102.10
1988 95.60
1989 90.20
1990 85.60
1991 81.40
1992 77.30
1993 73.10
1994 68.80
1995 64.50
1996 60.40
1997 56.50
1998 52.90
1999 49.60
2000 46.60
2001 43.90
2002 41.50
2003 39.40
2004 37.50
2005 35.70
2006 34.20
2007 32.70
2008 31.30
2009 29.90
2010 28.70
2011 27.50
2012 26.30
2013 25.30
2014 24.30
2015 23.30
2016 22.50
2017 21.70
2018 20.90
2019 20.10
2020 19.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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