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

The value for Mortality rate, infant, female (per 1,000 live births) in Solomon Islands was 15.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 109.10 in 1960 and a minimum value of 15.00 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 109.10
1961 104.70
1962 100.20
1963 95.80
1964 91.50
1965 87.40
1966 83.20
1967 78.90
1968 74.60
1969 70.30
1970 66.00
1971 61.80
1972 58.00
1973 54.50
1974 51.20
1975 51.10
1976 45.70
1977 43.20
1978 41.00
1979 39.20
1980 37.50
1981 36.20
1982 34.80
1983 33.70
1984 32.70
1985 31.80
1986 31.00
1987 30.30
1988 29.60
1989 29.00
1990 28.30
1991 27.70
1992 27.00
1993 26.40
1994 25.80
1995 25.20
1996 24.70
1997 24.30
1998 24.00
1999 23.60
2000 23.30
2001 23.10
2002 22.90
2003 22.70
2004 22.50
2005 22.30
2006 22.00
2007 21.60
2008 21.20
2009 20.70
2010 20.10
2011 19.60
2012 19.10
2013 18.50
2014 18.00
2015 17.50
2016 17.00
2017 16.40
2018 15.90
2019 15.50
2020 15.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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