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

The value for Mortality rate, infant, female (per 1,000 live births) in Sierra Leone was 73.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 205.60 in 1960 and a minimum value of 73.50 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 205.60
1961 202.70
1962 199.80
1963 196.90
1964 193.90
1965 191.10
1966 188.10
1967 185.10
1968 182.40
1969 179.70
1970 177.10
1971 174.50
1972 172.10
1973 169.60
1974 167.30
1975 165.20
1976 163.10
1977 161.10
1978 159.20
1979 157.50
1980 155.90
1981 154.30
1982 152.80
1983 151.40
1984 150.10
1985 148.80
1986 147.70
1987 146.60
1988 145.60
1989 144.60
1990 143.70
1991 142.80
1992 141.90
1993 141.00
1994 140.00
1995 138.90
1996 137.60
1997 135.90
1998 134.00
1999 132.00
2000 129.70
2001 127.40
2002 124.80
2003 122.20
2004 119.50
2005 116.60
2006 113.60
2007 110.30
2008 106.90
2009 103.60
2010 100.10
2011 96.70
2012 93.60
2013 90.60
2014 88.60
2015 88.10
2016 82.70
2017 80.30
2018 78.00
2019 75.80
2020 73.50

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