Solomon Islands - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Solomon Islands was 16.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 116.20 in 1960 and a minimum value of 16.60 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year 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
1960 116.20
1961 111.50
1962 107.00
1963 102.40
1964 98.10
1965 93.70
1966 89.30
1967 84.90
1968 80.40
1969 75.70
1970 71.20
1971 66.90
1972 62.90
1973 59.10
1974 55.70
1975 55.40
1976 49.70
1977 47.10
1978 44.80
1979 42.80
1980 41.10
1981 39.50
1982 38.20
1983 37.00
1984 35.90
1985 34.90
1986 34.00
1987 33.20
1988 32.50
1989 31.80
1990 31.10
1991 30.40
1992 29.70
1993 28.90
1994 28.30
1995 27.70
1996 27.10
1997 26.70
1998 26.30
1999 25.90
2000 25.60
2001 25.30
2002 25.10
2003 24.90
2004 24.70
2005 24.40
2006 24.10
2007 23.80
2008 23.30
2009 22.80
2010 22.20
2011 21.60
2012 21.00
2013 20.50
2014 19.90
2015 19.30
2016 18.80
2017 18.20
2018 17.70
2019 17.10
2020 16.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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