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

The value for Mortality rate, infant (per 1,000 live births) in Ghana was 33.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 123.60 in 1960 and a minimum value of 33.00 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 123.60
1961 122.50
1962 121.60
1963 120.90
1964 120.50
1965 120.40
1966 120.30
1967 120.50
1968 120.70
1969 120.70
1970 120.50
1971 119.80
1972 118.70
1973 116.90
1974 114.60
1975 112.00
1976 109.10
1977 106.50
1978 104.30
1979 102.70
1980 101.50
1981 100.70
1982 99.80
1983 98.70
1984 97.00
1985 94.90
1986 92.10
1987 89.10
1988 85.80
1989 82.60
1990 79.80
1991 77.50
1992 75.70
1993 74.40
1994 73.40
1995 72.50
1996 71.50
1997 70.20
1998 68.50
1999 66.60
2000 64.30
2001 62.10
2002 59.90
2003 58.00
2004 56.40
2005 54.90
2006 53.50
2007 52.10
2008 50.50
2009 48.80
2010 47.00
2011 45.20
2012 43.40
2013 41.80
2014 40.20
2015 38.80
2016 37.40
2017 36.20
2018 35.00
2019 34.00
2020 33.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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