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

The value for Mortality rate, neonatal (per 1,000 live births) in Morocco was 11.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 67.10 in 1960 and a minimum value of 11.50 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 67.10
1961 66.30
1962 65.50
1963 64.50
1964 63.50
1965 62.30
1966 61.10
1967 59.90
1968 58.70
1969 57.60
1970 56.60
1971 55.80
1972 55.10
1973 54.30
1974 53.60
1975 52.80
1976 52.00
1977 51.20
1978 50.30
1979 49.20
1980 48.20
1981 47.10
1982 45.80
1983 44.60
1984 43.30
1985 42.10
1986 40.90
1987 39.70
1988 38.70
1989 37.70
1990 36.70
1991 35.80
1992 35.00
1993 34.20
1994 33.30
1995 32.50
1996 31.60
1997 30.80
1998 30.00
1999 29.20
2000 28.40
2001 27.70
2002 27.00
2003 26.20
2004 25.50
2005 24.60
2006 23.70
2007 22.80
2008 21.70
2009 20.50
2010 19.30
2011 18.20
2012 17.20
2013 16.20
2014 15.30
2015 14.50
2016 13.80
2017 13.10
2018 12.50
2019 12.00
2020 11.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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