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

The value for Mortality rate, under-5 (per 1,000 live births) in Liberia was 78.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 313.00 in 1961 and a minimum value of 78.30 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 312.90
1961 313.00
1962 312.40
1963 311.40
1964 309.70
1965 307.20
1966 304.20
1967 300.60
1968 296.20
1969 291.30
1970 286.30
1971 281.30
1972 276.80
1973 272.30
1974 267.60
1975 263.00
1976 258.50
1977 254.50
1978 250.90
1979 247.30
1980 244.10
1981 241.20
1982 238.80
1983 237.50
1984 237.70
1985 239.50
1986 243.20
1987 248.30
1988 254.20
1989 259.90
1990 264.40
1991 266.50
1992 265.60
1993 262.00
1994 255.80
1995 247.40
1996 237.60
1997 226.60
1998 214.80
1999 202.40
2000 189.70
2001 176.60
2002 163.70
2003 151.30
2004 139.80
2005 129.60
2006 121.00
2007 114.00
2008 108.20
2009 103.60
2010 99.80
2011 96.70
2012 94.20
2013 92.00
2014 92.10
2015 88.30
2016 86.10
2017 84.30
2018 82.50
2019 80.40
2020 78.30

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