Trinidad and Tobago - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Trinidad and Tobago was 16.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 67.80 in 1960 and a minimum value of 16.60 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 67.80
1961 65.40
1962 63.20
1963 61.20
1964 59.30
1965 57.70
1966 56.30
1967 55.00
1968 53.90
1969 52.80
1970 51.70
1971 50.70
1972 49.60
1973 48.40
1974 47.20
1975 46.00
1976 44.70
1977 43.30
1978 42.00
1979 40.60
1980 39.40
1981 38.10
1982 36.90
1983 35.80
1984 34.80
1985 33.80
1986 33.00
1987 32.20
1988 31.50
1989 30.80
1990 30.30
1991 29.70
1992 29.30
1993 29.00
1994 28.70
1995 28.50
1996 28.30
1997 28.20
1998 28.00
1999 28.00
2000 27.90
2001 27.70
2002 27.40
2003 27.00
2004 26.40
2005 25.90
2006 25.20
2007 24.40
2008 23.80
2009 23.20
2010 22.50
2011 21.80
2012 21.20
2013 20.60
2014 19.90
2015 19.30
2016 18.80
2017 18.30
2018 17.70
2019 17.20
2020 16.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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