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

The value for Mortality rate, infant, male (per 1,000 live births) in Solomon Islands was 18.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 122.90 in 1960 and a minimum value of 18.10 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 122.90
1961 118.10
1962 113.40
1963 108.90
1964 104.20
1965 99.70
1966 95.20
1967 90.50
1968 85.70
1969 81.00
1970 76.20
1971 71.70
1972 67.50
1973 63.50
1974 59.90
1975 59.50
1976 53.60
1977 50.80
1978 48.30
1979 46.20
1980 44.40
1981 42.70
1982 41.30
1983 40.00
1984 38.90
1985 37.80
1986 36.80
1987 36.00
1988 35.20
1989 34.50
1990 33.70
1991 32.90
1992 32.10
1993 31.40
1994 30.60
1995 30.00
1996 29.40
1997 28.90
1998 28.50
1999 28.00
2000 27.70
2001 27.40
2002 27.10
2003 26.90
2004 26.70
2005 26.50
2006 26.20
2007 25.80
2008 25.30
2009 24.70
2010 24.20
2011 23.50
2012 22.90
2013 22.30
2014 21.70
2015 21.10
2016 20.50
2017 19.90
2018 19.30
2019 18.70
2020 18.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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