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

The value for Mortality rate, infant (per 1,000 live births) in Morocco was 16.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 146.10 in 1960 and a minimum value of 16.00 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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 146.10
1961 143.90
1962 141.60
1963 139.20
1964 136.80
1965 134.20
1966 131.50
1967 128.80
1968 126.20
1969 123.70
1970 121.40
1971 119.40
1972 117.50
1973 115.50
1974 113.30
1975 110.70
1976 107.80
1977 104.60
1978 101.20
1979 97.80
1980 94.30
1981 90.80
1982 87.40
1983 84.00
1984 80.60
1985 77.20
1986 74.00
1987 71.10
1988 68.30
1989 65.80
1990 63.40
1991 61.20
1992 59.10
1993 57.00
1994 55.00
1995 53.00
1996 51.00
1997 49.10
1998 47.30
1999 45.60
2000 43.90
2001 42.30
2002 40.60
2003 39.00
2004 37.20
2005 35.50
2006 33.60
2007 31.80
2008 30.10
2009 28.40
2010 26.80
2011 25.30
2012 23.90
2013 22.60
2014 21.30
2015 20.20
2016 19.10
2017 18.20
2018 17.40
2019 16.70
2020 16.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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