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

The value for Mortality rate, neonatal (per 1,000 live births) in Dominican Republic was 23.40 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 40.90 in 1963 and a minimum value of 23.10 in 1994.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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
1963 40.90
1964 40.80
1965 40.60
1966 40.60
1967 40.40
1968 40.30
1969 40.20
1970 40.20
1971 40.10
1972 40.00
1973 39.80
1974 39.60
1975 39.10
1976 38.50
1977 37.60
1978 36.40
1979 35.00
1980 33.60
1981 32.30
1982 31.00
1983 29.90
1984 28.80
1985 28.00
1986 27.10
1987 26.30
1988 25.50
1989 24.80
1990 24.30
1991 23.80
1992 23.50
1993 23.20
1994 23.10
1995 23.10
1996 23.10
1997 23.20
1998 23.30
1999 23.30
2000 23.30
2001 23.20
2002 23.10
2003 23.10
2004 23.20
2005 23.40
2006 23.60
2007 23.80
2008 24.00
2009 24.10
2010 24.20
2011 24.30
2012 24.30
2013 24.30
2014 24.40
2015 24.40
2016 24.50
2017 24.40
2018 24.20
2019 23.90
2020 23.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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