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

The value for Mortality rate, under-5, male (per 1,000 live births) in Guinea was 101.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 358.50 in 1960 and a minimum value of 101.40 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 358.50
1961 355.80
1962 353.10
1963 350.60
1964 348.00
1965 345.10
1966 341.90
1967 338.60
1968 335.70
1969 332.50
1970 329.30
1971 326.00
1972 322.50
1973 318.90
1974 315.10
1975 311.00
1976 306.70
1977 302.20
1978 297.60
1979 293.00
1980 288.20
1981 283.50
1982 278.70
1983 273.70
1984 268.80
1985 263.90
1986 259.20
1987 254.50
1988 249.80
1989 244.80
1990 239.50
1991 233.70
1992 227.20
1993 220.60
1994 213.80
1995 206.90
1996 200.00
1997 193.00
1998 186.00
1999 178.90
2000 171.70
2001 164.80
2002 158.40
2003 152.30
2004 146.80
2005 141.90
2006 137.50
2007 133.70
2008 130.20
2009 127.20
2010 124.60
2011 122.00
2012 119.50
2013 117.20
2014 115.60
2015 113.50
2016 110.80
2017 108.70
2018 106.40
2019 104.00
2020 101.40

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