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

The value for Mortality rate, infant, female (per 1,000 live births) in Grenada was 13.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 64.50 in 1960 and a minimum value of 11.50 in 2005.

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 64.50
1961 59.70
1962 54.90
1963 50.60
1964 47.00
1965 44.10
1966 41.90
1967 40.30
1968 39.10
1969 38.10
1970 37.30
1971 36.50
1972 35.60
1973 34.70
1974 33.70
1975 32.70
1976 31.60
1977 30.40
1978 29.20
1979 28.00
1980 26.70
1981 25.50
1982 24.30
1983 23.10
1984 22.00
1985 20.90
1986 20.00
1987 19.00
1988 18.20
1989 17.40
1990 16.60
1991 15.80
1992 15.10
1993 14.40
1994 13.90
1995 13.40
1996 13.00
1997 12.60
1998 12.40
1999 12.20
2000 12.00
2001 11.80
2002 11.70
2003 11.60
2004 11.60
2005 11.50
2006 11.50
2007 11.60
2008 11.70
2009 11.90
2010 12.10
2011 12.30
2012 12.50
2013 12.70
2014 12.90
2015 13.10
2016 13.30
2017 13.40
2018 13.50
2019 13.50
2020 13.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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