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

The value for Mortality rate, infant, male (per 1,000 live births) in Grenada was 15.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 69.60 in 1960 and a minimum value of 13.30 in 2004.

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 69.60
1961 64.80
1962 60.00
1963 55.60
1964 51.90
1965 48.90
1966 46.90
1967 45.40
1968 44.30
1969 43.30
1970 42.50
1971 41.60
1972 40.60
1973 39.60
1974 38.60
1975 37.40
1976 36.20
1977 34.90
1978 33.60
1979 32.20
1980 30.80
1981 29.30
1982 28.00
1983 26.60
1984 25.30
1985 24.10
1986 23.00
1987 21.90
1988 21.00
1989 20.00
1990 19.10
1991 18.20
1992 17.40
1993 16.60
1994 16.00
1995 15.40
1996 14.90
1997 14.60
1998 14.20
1999 14.00
2000 13.80
2001 13.60
2002 13.50
2003 13.40
2004 13.30
2005 13.30
2006 13.30
2007 13.40
2008 13.50
2009 13.70
2010 14.00
2011 14.20
2012 14.50
2013 14.80
2014 15.10
2015 15.30
2016 15.60
2017 15.80
2018 15.90
2019 15.80
2020 15.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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