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

The value for Mortality rate, infant (per 1,000 live births) in Trinidad and Tobago was 14.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 56.00 in 1960 and a minimum value of 14.80 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 56.00
1961 54.30
1962 52.70
1963 51.20
1964 49.80
1965 48.60
1966 47.50
1967 46.50
1968 45.60
1969 44.80
1970 44.00
1971 43.20
1972 42.30
1973 41.40
1974 40.50
1975 39.50
1976 38.40
1977 37.40
1978 36.30
1979 35.20
1980 34.20
1981 33.10
1982 32.20
1983 31.30
1984 30.40
1985 29.60
1986 28.90
1987 28.30
1988 27.70
1989 27.20
1990 26.70
1991 26.20
1992 25.90
1993 25.60
1994 25.30
1995 25.20
1996 25.00
1997 24.90
1998 24.80
1999 24.70
2000 24.70
2001 24.50
2002 24.30
2003 23.90
2004 23.50
2005 23.00
2006 22.40
2007 21.70
2008 21.20
2009 20.70
2010 20.10
2011 19.50
2012 18.90
2013 18.40
2014 17.80
2015 17.30
2016 16.80
2017 16.30
2018 15.80
2019 15.40
2020 14.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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