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

The value for Mortality rate, neonatal (per 1,000 live births) in Jamaica was 9.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 35.00 in 1960 and a minimum value of 9.30 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 35.00
1961 33.80
1962 32.70
1963 31.60
1964 30.50
1965 29.50
1966 28.60
1967 27.60
1968 26.70
1969 25.70
1970 24.70
1971 23.80
1972 23.20
1973 22.70
1974 22.40
1975 22.20
1976 22.00
1977 22.00
1978 21.90
1979 21.80
1980 21.80
1981 21.70
1982 21.60
1983 21.50
1984 21.40
1985 21.20
1986 20.90
1987 20.60
1988 20.40
1989 20.10
1990 19.80
1991 19.60
1992 19.30
1993 19.00
1994 18.70
1995 18.50
1996 18.30
1997 18.00
1998 17.70
1999 17.40
2000 17.00
2001 16.50
2002 16.10
2003 15.60
2004 15.10
2005 14.70
2006 14.20
2007 13.90
2008 13.60
2009 13.20
2010 12.90
2011 12.50
2012 12.20
2013 11.80
2014 11.40
2015 11.00
2016 10.70
2017 10.30
2018 10.00
2019 9.60
2020 9.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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