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

The value for Mortality rate, infant, female (per 1,000 live births) in Dominica was 29.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 80.00 in 1960 and a minimum value of 11.80 in 1991.

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 80.00
1961 73.60
1962 67.60
1963 62.10
1964 57.00
1965 52.40
1966 48.20
1967 44.30
1968 40.70
1969 37.50
1970 34.40
1971 31.70
1972 29.30
1973 27.00
1974 25.00
1975 23.20
1976 21.50
1977 20.10
1978 18.80
1979 19.60
1980 16.60
1981 15.80
1982 15.00
1983 14.40
1984 13.80
1985 13.30
1986 12.90
1987 12.60
1988 12.30
1989 12.10
1990 11.90
1991 11.80
1992 11.80
1993 11.80
1994 11.80
1995 11.90
1996 12.00
1997 12.20
1998 12.40
1999 12.70
2000 13.00
2001 13.40
2002 13.80
2003 14.30
2004 14.80
2005 15.40
2006 16.10
2007 16.90
2008 17.70
2009 18.60
2010 19.60
2011 20.70
2012 21.80
2013 23.00
2014 24.20
2015 25.40
2016 26.50
2017 27.50
2018 28.30
2019 28.90
2020 29.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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