Grenada - Mortality rate, under-5, male (per 1,000 live births)

The value for Mortality rate, under-5, male (per 1,000 live births) in Grenada was 17.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 104.00 in 1960 and a minimum value of 15.60 in 2006.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 104.00
1961 95.90
1962 88.00
1963 81.00
1964 75.00
1965 70.30
1966 66.80
1967 64.20
1968 62.20
1969 60.50
1970 58.90
1971 57.30
1972 55.70
1973 54.00
1974 52.20
1975 50.40
1976 48.60
1977 46.60
1978 44.60
1979 42.50
1980 40.40
1981 38.30
1982 36.40
1983 34.40
1984 32.60
1985 30.90
1986 29.40
1987 27.90
1988 26.60
1989 25.20
1990 24.00
1991 22.80
1992 21.60
1993 20.60
1994 19.70
1995 18.90
1996 18.20
1997 17.70
1998 17.30
1999 16.90
2000 16.60
2001 16.30
2002 16.10
2003 15.90
2004 15.70
2005 15.70
2006 15.60
2007 15.70
2008 15.80
2009 16.00
2010 16.20
2011 16.40
2012 16.70
2013 17.00
2014 17.20
2015 17.50
2016 17.70
2017 17.90
2018 17.90
2019 17.80
2020 17.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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