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

The value for Mortality rate, infant (per 1,000 live births) in Guinea was 62.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 208.40 in 1960 and a minimum value of 62.00 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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 208.40
1961 206.80
1962 205.40
1963 203.70
1964 202.10
1965 200.30
1966 198.50
1967 196.70
1968 194.90
1969 193.00
1970 191.10
1971 189.00
1972 187.00
1973 184.90
1974 182.60
1975 180.20
1976 177.60
1977 174.80
1978 171.90
1979 168.90
1980 165.90
1981 162.90
1982 160.10
1983 157.30
1984 154.40
1985 151.60
1986 148.80
1987 146.10
1988 143.20
1989 140.30
1990 137.00
1991 133.50
1992 129.80
1993 126.20
1994 122.40
1995 118.50
1996 114.80
1997 111.10
1998 107.30
1999 103.60
2000 99.90
2001 96.20
2002 92.70
2003 89.50
2004 86.50
2005 83.90
2006 81.50
2007 79.40
2008 77.60
2009 75.90
2010 74.40
2011 73.10
2012 71.80
2013 70.50
2014 69.50
2015 68.40
2016 67.10
2017 66.00
2018 64.70
2019 63.40
2020 62.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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