Dominican Republic - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Dominican Republic was 27.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 102.00 in 1960 and a minimum value of 27.90 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 102.00
1961 101.30
1962 100.30
1963 99.10
1964 97.70
1965 96.10
1966 94.40
1967 92.60
1968 90.80
1969 89.00
1970 87.00
1971 84.90
1972 82.70
1973 80.20
1974 77.60
1975 75.10
1976 72.50
1977 70.10
1978 67.90
1979 65.70
1980 63.60
1981 61.60
1982 59.60
1983 57.80
1984 56.00
1985 54.30
1986 52.60
1987 51.00
1988 49.30
1989 47.70
1990 46.00
1991 44.40
1992 42.80
1993 41.10
1994 39.60
1995 38.10
1996 36.70
1997 35.40
1998 34.30
1999 33.30
2000 32.40
2001 31.70
2002 31.10
2003 30.60
2004 30.10
2005 29.80
2006 29.50
2007 29.30
2008 29.10
2009 29.00
2010 28.90
2011 28.80
2012 28.80
2013 28.80
2014 28.80
2015 28.80
2016 28.80
2017 28.70
2018 28.60
2019 28.30
2020 27.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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