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

The value for Mortality rate, infant, male (per 1,000 live births) in Dominica was 34.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 87.80 in 1960 and a minimum value of 13.60 in 1992.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 87.80
1961 80.90
1962 74.50
1963 68.70
1964 63.30
1965 58.30
1966 53.70
1967 49.50
1968 45.60
1969 42.10
1970 38.90
1971 36.00
1972 33.30
1973 30.90
1974 28.70
1975 26.70
1976 24.90
1977 23.20
1978 21.80
1979 22.40
1980 19.30
1981 18.30
1982 17.40
1983 16.70
1984 16.00
1985 15.40
1986 15.00
1987 14.60
1988 14.30
1989 14.00
1990 13.80
1991 13.70
1992 13.60
1993 13.60
1994 13.70
1995 13.80
1996 13.90
1997 14.10
1998 14.40
1999 14.70
2000 15.10
2001 15.50
2002 16.10
2003 16.60
2004 17.30
2005 18.00
2006 18.80
2007 19.70
2008 20.70
2009 21.70
2010 22.90
2011 24.10
2012 25.40
2013 26.80
2014 28.20
2015 29.50
2016 30.70
2017 31.90
2018 32.80
2019 33.60
2020 34.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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