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

The value for Mortality rate, neonatal (per 1,000 live births) in Egypt was 10.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 66.40 in 1960 and a minimum value of 10.30 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 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 66.40
1961 65.20
1962 64.10
1963 63.00
1964 62.00
1965 61.30
1966 60.80
1967 60.60
1968 60.50
1969 60.40
1970 60.40
1971 60.40
1972 60.20
1973 59.80
1974 59.10
1975 58.10
1976 57.10
1977 56.10
1978 54.90
1979 53.50
1980 52.10
1981 50.50
1982 48.80
1983 46.80
1984 44.60
1985 42.40
1986 40.20
1987 38.10
1988 36.20
1989 34.60
1990 33.20
1991 31.90
1992 30.60
1993 29.30
1994 28.10
1995 27.00
1996 25.90
1997 24.90
1998 24.10
1999 23.20
2000 22.40
2001 21.70
2002 21.00
2003 20.30
2004 19.70
2005 19.00
2006 18.20
2007 17.50
2008 16.70
2009 16.00
2010 15.20
2011 14.60
2012 13.90
2013 13.40
2014 12.80
2015 12.30
2016 11.90
2017 11.50
2018 11.10
2019 10.70
2020 10.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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