Jamaica - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Jamaica was 13.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 83.00 in 1960 and a minimum value of 13.30 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 83.00
1961 79.50
1962 76.30
1963 73.40
1964 70.70
1965 68.20
1966 65.80
1967 63.60
1968 61.40
1969 59.30
1970 57.20
1971 55.20
1972 53.20
1973 51.30
1974 49.50
1975 47.90
1976 46.30
1977 44.90
1978 43.50
1979 42.20
1980 41.00
1981 39.80
1982 38.60
1983 37.50
1984 36.40
1985 35.30
1986 34.30
1987 33.30
1988 32.30
1989 31.30
1990 30.40
1991 29.50
1992 28.60
1993 27.70
1994 26.80
1995 25.90
1996 25.10
1997 24.30
1998 23.60
1999 22.90
2000 22.20
2001 21.60
2002 21.10
2003 20.70
2004 20.30
2005 19.90
2006 19.60
2007 19.20
2008 18.90
2009 18.50
2010 18.00
2011 17.50
2012 17.00
2013 16.50
2014 16.00
2015 15.50
2016 15.10
2017 14.60
2018 14.20
2019 13.70
2020 13.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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