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

The value for Mortality rate, neonatal (per 1,000 live births) in Liberia was 30.60 as of 2020. As the graph below shows, over the past 57 years this indicator reached a maximum value of 105.20 in 1963 and a minimum value of 30.60 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 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
1963 105.20
1964 103.90
1965 102.20
1966 100.20
1967 97.90
1968 95.70
1969 93.20
1970 90.70
1971 88.40
1972 86.10
1973 84.00
1974 82.10
1975 80.10
1976 78.50
1977 76.80
1978 75.20
1979 73.70
1980 72.20
1981 70.60
1982 69.10
1983 67.40
1984 65.80
1985 64.30
1986 63.30
1987 62.40
1988 61.70
1989 60.90
1990 60.10
1991 59.10
1992 58.10
1993 57.30
1994 56.60
1995 55.80
1996 54.80
1997 53.50
1998 51.90
1999 50.10
2000 48.10
2001 46.00
2002 43.90
2003 41.90
2004 40.00
2005 38.40
2006 36.90
2007 35.60
2008 34.50
2009 33.50
2010 32.90
2011 32.50
2012 32.30
2013 32.30
2014 32.30
2015 32.20
2016 32.00
2017 31.80
2018 31.40
2019 31.10
2020 30.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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