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

The value for Mortality rate, under-5, female (per 1,000 live births) in Morocco was 16.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 235.10 in 1960 and a minimum value of 16.80 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 235.10
1961 230.40
1962 225.80
1963 220.90
1964 215.80
1965 210.50
1966 205.00
1967 199.50
1968 194.10
1969 189.10
1970 184.50
1971 180.30
1972 176.40
1973 172.50
1974 168.00
1975 162.90
1976 157.10
1977 150.80
1978 143.70
1979 136.60
1980 129.50
1981 122.70
1982 116.10
1983 109.80
1984 103.70
1985 98.00
1986 92.60
1987 87.80
1988 83.30
1989 79.40
1990 75.70
1991 72.30
1992 69.10
1993 66.10
1994 63.10
1995 60.10
1996 57.40
1997 54.80
1998 52.40
1999 50.10
2000 47.90
2001 45.80
2002 43.80
2003 41.80
2004 39.80
2005 37.60
2006 35.60
2007 33.50
2008 31.60
2009 29.80
2010 28.10
2011 26.50
2012 25.00
2013 23.60
2014 22.30
2015 21.10
2016 20.00
2017 19.10
2018 18.20
2019 17.50
2020 16.80

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