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

The value for Mortality rate, infant (per 1,000 live births) in Gabon was 30.70 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 107.90 in 1967 and a minimum value of 30.70 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
1967 107.90
1968 105.10
1969 102.20
1970 99.50
1971 96.80
1972 94.20
1973 91.60
1974 89.10
1975 86.60
1976 84.20
1977 81.90
1978 79.60
1979 77.40
1980 75.30
1981 73.30
1982 71.30
1983 69.40
1984 67.70
1985 66.10
1986 64.60
1987 63.30
1988 62.10
1989 61.10
1990 60.20
1991 59.40
1992 58.70
1993 58.10
1994 57.50
1995 57.00
1996 56.40
1997 55.80
1998 55.10
1999 54.20
2000 53.30
2001 52.30
2002 51.20
2003 50.20
2004 49.00
2005 47.70
2006 46.60
2007 45.20
2008 43.90
2009 42.90
2010 41.60
2011 40.40
2012 39.10
2013 37.90
2014 37.20
2015 36.10
2016 34.60
2017 33.70
2018 32.50
2019 31.50
2020 30.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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