Trinidad and Tobago - Mortality rate, neonatal (per 1,000 live births)

The value for Mortality rate, neonatal (per 1,000 live births) in Trinidad and Tobago was 10.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 37.50 in 1960 and a minimum value of 10.60 in 2020.

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
1960 37.50
1961 36.70
1962 35.90
1963 35.20
1964 34.50
1965 33.90
1966 33.30
1967 32.80
1968 32.30
1969 31.80
1970 31.20
1971 30.60
1972 30.00
1973 29.40
1974 28.80
1975 28.10
1976 27.50
1977 26.90
1978 26.30
1979 25.70
1980 25.10
1981 24.50
1982 24.00
1983 23.30
1984 22.70
1985 22.00
1986 21.40
1987 20.90
1988 20.40
1989 19.90
1990 19.60
1991 19.20
1992 18.90
1993 18.70
1994 18.50
1995 18.40
1996 18.20
1997 18.20
1998 18.10
1999 18.00
2000 18.00
2001 17.80
2002 17.60
2003 17.40
2004 17.00
2005 16.60
2006 16.20
2007 15.70
2008 15.30
2009 14.90
2010 14.40
2011 14.00
2012 13.60
2013 13.20
2014 12.80
2015 12.40
2016 12.00
2017 11.70
2018 11.30
2019 11.00
2020 10.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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