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

The value for Mortality rate, under-5, female (per 1,000 live births) in Fiji was 25.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 74.20 in 1960 and a minimum value of 20.80 in 2001.

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 74.20
1961 70.60
1962 67.40
1963 64.20
1964 61.40
1965 58.90
1966 56.90
1967 55.30
1968 54.10
1969 53.30
1970 52.80
1971 52.50
1972 52.20
1973 51.90
1974 51.30
1975 50.40
1976 49.10
1977 47.50
1978 45.70
1979 43.60
1980 41.60
1981 39.50
1982 37.50
1983 35.70
1984 34.10
1985 32.70
1986 31.40
1987 30.20
1988 29.00
1989 27.90
1990 26.80
1991 25.80
1992 24.90
1993 24.10
1994 23.30
1995 22.70
1996 22.10
1997 21.70
1998 21.30
1999 21.00
2000 20.90
2001 20.80
2002 20.90
2003 21.00
2004 21.20
2005 21.50
2006 21.80
2007 22.00
2008 22.00
2009 22.00
2010 21.80
2011 21.70
2012 21.70
2013 21.80
2014 22.00
2015 22.40
2016 22.90
2017 23.40
2018 24.00
2019 24.70
2020 25.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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