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

The value for Mortality rate, infant, male (per 1,000 live births) in Morocco was 17.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 156.50 in 1960 and a minimum value of 17.70 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 156.50
1961 154.00
1962 151.50
1963 148.90
1964 146.20
1965 143.40
1966 140.50
1967 137.60
1968 134.90
1969 132.20
1970 129.90
1971 127.70
1972 125.50
1973 123.20
1974 120.70
1975 117.80
1976 114.50
1977 110.90
1978 107.40
1979 103.80
1980 100.30
1981 96.70
1982 93.20
1983 89.80
1984 86.30
1985 82.80
1986 79.50
1987 76.40
1988 73.60
1989 70.90
1990 68.50
1991 66.10
1992 63.90
1993 61.70
1994 59.50
1995 57.40
1996 55.30
1997 53.40
1998 51.50
1999 49.70
2000 48.00
2001 46.20
2002 44.40
2003 42.60
2004 40.80
2005 38.90
2006 36.90
2007 34.90
2008 33.10
2009 31.30
2010 29.50
2011 27.90
2012 26.40
2013 24.90
2014 23.50
2015 22.30
2016 21.10
2017 20.10
2018 19.20
2019 18.40
2020 17.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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