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

The value for Mortality rate, infant, female (per 1,000 live births) in Ghana was 29.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 114.40 in 1960 and a minimum value of 29.20 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 114.40
1961 113.30
1962 112.40
1963 111.80
1964 111.40
1965 111.30
1966 111.30
1967 111.50
1968 111.70
1969 111.70
1970 111.50
1971 110.90
1972 109.90
1973 108.20
1974 106.10
1975 103.50
1976 100.80
1977 98.20
1978 96.10
1979 94.50
1980 93.40
1981 92.60
1982 91.70
1983 90.60
1984 89.10
1985 87.10
1986 84.40
1987 81.50
1988 78.40
1989 75.40
1990 72.70
1991 70.40
1992 68.60
1993 67.30
1994 66.30
1995 65.50
1996 64.60
1997 63.40
1998 61.80
1999 59.90
2000 57.80
2001 55.70
2002 53.70
2003 51.90
2004 50.20
2005 48.80
2006 47.60
2007 46.30
2008 44.90
2009 43.30
2010 41.70
2011 40.20
2012 38.60
2013 37.10
2014 35.70
2015 34.40
2016 33.20
2017 32.10
2018 31.10
2019 30.10
2020 29.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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