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

The value for Mortality rate, under-5, female (per 1,000 live births) in Trinidad and Tobago was 14.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 63.20 in 1960 and a minimum value of 14.90 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 63.20
1961 61.00
1962 58.90
1963 57.00
1964 55.20
1965 53.70
1966 52.30
1967 51.00
1968 49.90
1969 48.80
1970 47.80
1971 46.80
1972 45.80
1973 44.60
1974 43.50
1975 42.30
1976 41.10
1977 39.80
1978 38.60
1979 37.30
1980 36.10
1981 34.90
1982 33.80
1983 32.80
1984 31.80
1985 30.90
1986 30.00
1987 29.30
1988 28.70
1989 28.00
1990 27.50
1991 27.00
1992 26.60
1993 26.30
1994 26.00
1995 25.80
1996 25.70
1997 25.50
1998 25.40
1999 25.30
2000 25.30
2001 25.10
2002 24.80
2003 24.40
2004 23.90
2005 23.40
2006 22.70
2007 22.10
2008 21.50
2009 20.90
2010 20.30
2011 19.70
2012 19.10
2013 18.60
2014 18.00
2015 17.40
2016 16.90
2017 16.40
2018 15.90
2019 15.40
2020 14.90

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