Sierra Leone - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Sierra Leone was 107.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 390.00 in 1960 and a minimum value of 107.80 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 390.00
1961 384.20
1962 378.50
1963 372.60
1964 366.70
1965 361.10
1966 355.00
1967 349.20
1968 343.50
1969 338.10
1970 332.70
1971 327.50
1972 322.50
1973 317.60
1974 312.60
1975 308.00
1976 303.40
1977 298.90
1978 294.80
1979 290.90
1980 287.20
1981 283.70
1982 280.40
1983 277.10
1984 274.20
1985 271.40
1986 268.60
1987 266.10
1988 263.80
1989 261.50
1990 259.60
1991 257.70
1992 255.60
1993 253.30
1994 250.60
1995 247.50
1996 243.80
1997 239.60
1998 235.00
1999 230.00
2000 224.90
2001 219.40
2002 213.90
2003 208.10
2004 202.00
2005 195.50
2006 188.90
2007 182.00
2008 174.90
2009 167.70
2010 160.60
2011 153.80
2012 147.30
2013 141.20
2014 139.20
2015 140.20
2016 125.40
2017 120.70
2018 116.20
2019 111.90
2020 107.80

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