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

The value for Mortality rate, infant, male (per 1,000 live births) in Sierra Leone was 86.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 234.20 in 1960 and a minimum value of 86.40 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 234.20
1961 231.00
1962 227.60
1963 224.20
1964 221.00
1965 217.80
1966 214.50
1967 211.20
1968 208.10
1969 204.90
1970 202.10
1971 199.20
1972 196.40
1973 193.60
1974 191.00
1975 188.50
1976 186.30
1977 184.10
1978 181.90
1979 179.80
1980 177.90
1981 176.10
1982 174.50
1983 173.00
1984 171.50
1985 170.10
1986 168.80
1987 167.70
1988 166.50
1989 165.50
1990 164.50
1991 163.60
1992 162.60
1993 161.50
1994 160.00
1995 158.10
1996 156.00
1997 153.80
1998 151.50
1999 148.70
2000 146.20
2001 143.40
2002 140.70
2003 137.70
2004 134.50
2005 131.40
2006 128.00
2007 124.60
2008 121.10
2009 117.40
2010 114.00
2011 110.60
2012 107.40
2013 104.50
2014 102.40
2015 101.90
2016 96.40
2017 93.80
2018 91.20
2019 88.80
2020 86.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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