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

The value for Mortality rate, under-5, female (per 1,000 live births) in Grenada was 15.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 99.10 in 1960 and a minimum value of 13.50 in 2005.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 99.10
1961 91.00
1962 83.10
1963 76.00
1964 70.00
1965 65.20
1966 61.60
1967 58.80
1968 56.60
1969 54.80
1970 53.20
1971 51.60
1972 50.00
1973 48.40
1974 46.60
1975 44.90
1976 43.10
1977 41.20
1978 39.30
1979 37.40
1980 35.50
1981 33.60
1982 31.70
1983 30.00
1984 28.40
1985 26.90
1986 25.40
1987 24.10
1988 22.90
1989 21.80
1990 20.70
1991 19.60
1992 18.60
1993 17.80
1994 17.00
1995 16.30
1996 15.70
1997 15.30
1998 14.90
1999 14.60
2000 14.30
2001 14.10
2002 13.90
2003 13.70
2004 13.60
2005 13.50
2006 13.50
2007 13.50
2008 13.60
2009 13.70
2010 13.90
2011 14.10
2012 14.30
2013 14.50
2014 14.70
2015 14.90
2016 15.10
2017 15.20
2018 15.20
2019 15.20
2020 15.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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