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

The value for Mortality rate, infant, male (per 1,000 live births) in Guyana was 26.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 75.00 in 1960 and a minimum value of 26.80 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 75.00
1961 72.30
1962 70.00
1963 68.10
1964 66.50
1965 65.30
1966 64.30
1967 63.50
1968 62.90
1969 62.40
1970 62.20
1971 62.00
1972 61.70
1973 61.60
1974 61.40
1975 61.20
1976 60.90
1977 60.60
1978 60.20
1979 59.80
1980 59.40
1981 58.90
1982 58.50
1983 58.00
1984 57.50
1985 56.90
1986 56.20
1987 55.50
1988 54.70
1989 53.70
1990 52.70
1991 51.50
1992 50.40
1993 49.20
1994 48.00
1995 46.90
1996 45.80
1997 44.80
1998 43.70
1999 42.70
2000 41.70
2001 40.70
2002 39.80
2003 39.10
2004 38.30
2005 37.60
2006 36.90
2007 36.30
2008 35.60
2009 35.00
2010 34.40
2011 33.70
2012 33.10
2013 32.40
2014 31.60
2015 30.80
2016 30.00
2017 29.20
2018 28.40
2019 27.60
2020 26.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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