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

The value for Mortality rate, neonatal (per 1,000 live births) in Guyana was 17.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 40.00 in 1960 and a minimum value of 17.30 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 40.00
1961 38.90
1962 38.00
1963 37.30
1964 36.70
1965 36.30
1966 35.90
1967 35.70
1968 35.40
1969 35.10
1970 34.80
1971 34.60
1972 34.40
1973 34.10
1974 33.90
1975 33.60
1976 33.40
1977 33.10
1978 32.70
1979 32.40
1980 32.10
1981 31.80
1982 31.50
1983 31.30
1984 31.20
1985 31.10
1986 31.10
1987 31.00
1988 30.90
1989 30.90
1990 30.80
1991 30.60
1992 30.50
1993 30.20
1994 29.90
1995 29.60
1996 29.10
1997 28.70
1998 28.20
1999 27.60
2000 27.00
2001 26.40
2002 26.00
2003 25.50
2004 25.20
2005 24.80
2006 24.30
2007 23.90
2008 23.60
2009 23.20
2010 22.80
2011 22.40
2012 21.90
2013 21.40
2014 20.80
2015 20.20
2016 19.60
2017 19.10
2018 18.40
2019 17.90
2020 17.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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