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

The value for Mortality rate, under-5, female (per 1,000 live births) in Dominica was 35.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 134.20 in 1960 and a minimum value of 14.60 in 1993.

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 134.20
1961 122.00
1962 110.80
1963 100.80
1964 91.50
1965 83.20
1966 75.60
1967 68.70
1968 62.50
1969 56.90
1970 51.70
1971 47.10
1972 43.00
1973 39.30
1974 36.00
1975 33.10
1976 30.50
1977 28.10
1978 26.10
1979 29.40
1980 22.70
1981 21.30
1982 20.10
1983 19.00
1984 18.20
1985 17.40
1986 16.80
1987 16.20
1988 15.80
1989 15.40
1990 15.10
1991 14.90
1992 14.70
1993 14.60
1994 14.60
1995 14.60
1996 14.70
1997 14.80
1998 15.00
1999 15.30
2000 15.60
2001 15.90
2002 16.40
2003 16.90
2004 17.50
2005 18.10
2006 18.80
2007 19.60
2008 20.50
2009 21.50
2010 22.60
2011 23.70
2012 24.90
2013 26.20
2014 27.50
2015 28.90
2016 30.30
2017 31.60
2018 32.80
2019 34.00
2020 35.20

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