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

The value for Mortality rate, infant, male (per 1,000 live births) in Fiji was 24.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 62.70 in 1960 and a minimum value of 20.20 in 2001.

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 62.70
1961 60.30
1962 58.00
1963 55.90
1964 53.90
1965 52.10
1966 50.50
1967 49.30
1968 48.50
1969 47.80
1970 47.40
1971 47.10
1972 46.90
1973 46.60
1974 46.10
1975 45.40
1976 44.40
1977 43.20
1978 41.70
1979 40.10
1980 38.40
1981 36.80
1982 35.10
1983 33.70
1984 32.30
1985 31.20
1986 30.00
1987 29.00
1988 27.90
1989 26.90
1990 26.00
1991 25.10
1992 24.20
1993 23.50
1994 22.80
1995 22.10
1996 21.60
1997 21.10
1998 20.80
1999 20.50
2000 20.30
2001 20.20
2002 20.20
2003 20.40
2004 20.70
2005 21.00
2006 21.20
2007 21.50
2008 21.60
2009 21.60
2010 21.50
2011 21.50
2012 21.50
2013 21.60
2014 21.90
2015 22.20
2016 22.70
2017 23.30
2018 23.90
2019 24.40
2020 24.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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