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

The value for Mortality rate, infant, male (per 1,000 live births) in Egypt was 17.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 218.00 in 1960 and a minimum value of 17.80 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
1960 218.00
1961 210.60
1962 203.20
1963 196.10
1964 189.50
1965 183.60
1966 178.70
1967 174.70
1968 171.50
1969 168.80
1970 166.20
1971 163.60
1972 160.70
1973 157.00
1974 152.40
1975 147.20
1976 141.50
1977 135.40
1978 129.20
1979 123.10
1980 117.40
1981 111.60
1982 105.40
1983 99.20
1984 92.80
1985 86.50
1986 80.60
1987 75.50
1988 71.30
1989 67.80
1990 64.60
1991 61.80
1992 59.10
1993 56.40
1994 53.80
1995 51.10
1996 48.40
1997 45.90
1998 43.40
1999 41.20
2000 39.10
2001 37.20
2002 35.40
2003 33.80
2004 32.30
2005 31.00
2006 29.80
2007 28.60
2008 27.50
2009 26.50
2010 25.50
2011 24.50
2012 23.60
2013 22.70
2014 21.90
2015 21.10
2016 20.40
2017 19.70
2018 19.10
2019 18.40
2020 17.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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