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

The value for Mortality rate, infant (per 1,000 live births) in Grenada was 14.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 67.10 in 1960 and a minimum value of 12.40 in 2005.

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 67.10
1961 62.30
1962 57.50
1963 53.10
1964 49.50
1965 46.60
1966 44.40
1967 42.90
1968 41.80
1969 40.80
1970 39.90
1971 39.10
1972 38.20
1973 37.20
1974 36.20
1975 35.10
1976 34.00
1977 32.80
1978 31.50
1979 30.20
1980 28.80
1981 27.50
1982 26.20
1983 24.90
1984 23.70
1985 22.60
1986 21.50
1987 20.50
1988 19.60
1989 18.70
1990 17.90
1991 17.10
1992 16.30
1993 15.60
1994 14.90
1995 14.40
1996 14.00
1997 13.60
1998 13.30
1999 13.10
2000 12.90
2001 12.80
2002 12.60
2003 12.50
2004 12.50
2005 12.40
2006 12.50
2007 12.50
2008 12.70
2009 12.80
2010 13.00
2011 13.30
2012 13.50
2013 13.80
2014 14.00
2015 14.30
2016 14.50
2017 14.60
2018 14.70
2019 14.70
2020 14.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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