Solomon Islands - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in Solomon Islands was 17.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 164.10 in 1960 and a minimum value of 17.50 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 164.10
1961 156.50
1962 149.20
1963 141.90
1964 134.90
1965 128.20
1966 121.40
1967 114.60
1968 107.60
1969 100.60
1970 93.50
1971 86.90
1972 80.70
1973 74.90
1974 69.80
1975 73.00
1976 60.70
1977 56.90
1978 53.60
1979 50.80
1980 48.30
1981 46.20
1982 44.40
1983 42.70
1984 41.20
1985 40.00
1986 38.70
1987 37.70
1988 36.70
1989 35.90
1990 34.90
1991 34.00
1992 33.10
1993 32.10
1994 31.30
1995 30.60
1996 30.00
1997 29.40
1998 28.90
1999 28.40
2000 28.10
2001 27.70
2002 27.50
2003 27.20
2004 27.00
2005 26.70
2006 26.30
2007 25.80
2008 25.20
2009 24.60
2010 23.90
2011 23.30
2012 22.60
2013 21.90
2014 21.20
2015 20.60
2016 19.90
2017 19.30
2018 18.70
2019 18.10
2020 17.50

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