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

The value for Mortality rate, infant (per 1,000 live births) in Kiribati was 39.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 133.90 in 1960 and a minimum value of 39.20 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 133.90
1961 130.90
1962 127.50
1963 123.70
1964 119.80
1965 115.90
1966 111.90
1967 108.00
1968 104.40
1969 100.90
1970 97.60
1971 94.70
1972 92.20
1973 90.20
1974 88.60
1975 87.60
1976 86.90
1977 86.20
1978 85.50
1979 84.70
1980 83.80
1981 82.70
1982 81.60
1983 80.30
1984 78.90
1985 77.40
1986 75.60
1987 73.60
1988 71.40
1989 69.10
1990 66.70
1991 64.50
1992 62.40
1993 60.60
1994 59.00
1995 57.60
1996 56.30
1997 55.10
1998 53.90
1999 52.80
2000 51.70
2001 50.70
2002 50.00
2003 49.50
2004 49.40
2005 49.40
2006 49.70
2007 50.00
2008 50.00
2009 49.80
2010 49.30
2011 48.60
2012 47.80
2013 46.80
2014 45.80
2015 44.70
2016 43.60
2017 42.60
2018 41.40
2019 40.30
2020 39.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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