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

The value for Mortality rate, infant (per 1,000 live births) in The Gambia was 34.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 152.40 in 1960 and a minimum value of 34.70 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
1960 152.40
1961 149.70
1962 147.30
1963 144.70
1964 142.30
1965 139.80
1966 137.50
1967 135.10
1968 132.70
1969 130.40
1970 128.00
1971 125.70
1972 123.20
1973 120.80
1974 118.30
1975 115.80
1976 113.40
1977 111.00
1978 108.70
1979 106.40
1980 104.10
1981 101.90
1982 99.50
1983 97.10
1984 94.70
1985 92.30
1986 90.00
1987 87.60
1988 85.40
1989 83.20
1990 81.20
1991 79.10
1992 77.10
1993 75.10
1994 73.00
1995 71.00
1996 69.00
1997 67.10
1998 65.20
1999 63.40
2000 61.60
2001 59.80
2002 58.10
2003 56.40
2004 54.70
2005 53.10
2006 51.50
2007 50.00
2008 48.60
2009 47.10
2010 45.80
2011 44.50
2012 43.20
2013 42.00
2014 40.90
2015 39.70
2016 38.60
2017 37.50
2018 36.50
2019 35.60
2020 34.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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