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

The value for Mortality rate, infant, male (per 1,000 live births) in Trinidad and Tobago was 16.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 60.40 in 1960 and a minimum value of 16.30 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 60.40
1961 58.60
1962 56.80
1963 55.20
1964 53.70
1965 52.40
1966 51.30
1967 50.20
1968 49.30
1969 48.40
1970 47.50
1971 46.60
1972 45.70
1973 44.80
1974 43.80
1975 42.70
1976 41.60
1977 40.50
1978 39.30
1979 38.10
1980 37.00
1981 35.90
1982 34.90
1983 33.90
1984 33.00
1985 32.20
1986 31.40
1987 30.70
1988 30.10
1989 29.50
1990 29.00
1991 28.60
1992 28.20
1993 27.90
1994 27.70
1995 27.50
1996 27.30
1997 27.20
1998 27.10
1999 27.10
2000 26.90
2001 26.80
2002 26.50
2003 26.10
2004 25.70
2005 25.10
2006 24.50
2007 23.90
2008 23.30
2009 22.70
2010 22.00
2011 21.40
2012 20.80
2013 20.10
2014 19.60
2015 19.00
2016 18.50
2017 17.90
2018 17.40
2019 16.90
2020 16.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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