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

The value for Mortality rate, infant, female (per 1,000 live births) in Morocco was 14.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 135.10 in 1960 and a minimum value of 14.30 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 135.10
1961 133.10
1962 131.10
1963 128.90
1964 126.80
1965 124.30
1966 121.90
1967 119.40
1968 116.90
1969 114.60
1970 112.60
1971 110.80
1972 109.00
1973 107.40
1974 105.40
1975 103.30
1976 100.80
1977 98.00
1978 94.70
1979 91.40
1980 88.00
1981 84.70
1982 81.30
1983 78.00
1984 74.60
1985 71.40
1986 68.30
1987 65.50
1988 62.90
1989 60.40
1990 58.20
1991 56.10
1992 54.10
1993 52.10
1994 50.20
1995 48.20
1996 46.40
1997 44.60
1998 42.90
1999 41.20
2000 39.60
2001 38.10
2002 36.60
2003 35.10
2004 33.50
2005 31.80
2006 30.20
2007 28.50
2008 26.90
2009 25.40
2010 24.00
2011 22.60
2012 21.30
2013 20.10
2014 19.00
2015 18.00
2016 17.00
2017 16.20
2018 15.50
2019 14.90
2020 14.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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