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

The value for Mortality rate, infant, female (per 1,000 live births) in Fiji was 21.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 53.70 in 1960 and a minimum value of 17.70 in 2001.

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 53.70
1961 51.50
1962 49.50
1963 47.70
1964 45.90
1965 44.40
1966 43.00
1967 42.00
1968 41.20
1969 40.70
1970 40.40
1971 40.20
1972 40.00
1973 39.80
1974 39.50
1975 38.90
1976 38.00
1977 37.00
1978 35.70
1979 34.30
1980 32.90
1981 31.50
1982 30.10
1983 28.80
1984 27.70
1985 26.70
1986 25.80
1987 24.90
1988 24.00
1989 23.20
1990 22.30
1991 21.60
1992 20.90
1993 20.30
1994 19.70
1995 19.20
1996 18.80
1997 18.40
1998 18.10
1999 17.90
2000 17.80
2001 17.70
2002 17.80
2003 17.90
2004 18.10
2005 18.30
2006 18.50
2007 18.60
2008 18.70
2009 18.60
2010 18.50
2011 18.40
2012 18.40
2013 18.50
2014 18.60
2015 18.90
2016 19.30
2017 19.70
2018 20.20
2019 20.70
2020 21.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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