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

The value for Mortality rate, under-5 (per 1,000 live births) in Palau was 16.90 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 98.30 in 1965 and a minimum value of 16.90 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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
1965 98.30
1966 94.90
1967 91.50
1968 88.30
1969 84.80
1970 81.10
1971 77.00
1972 72.90
1973 68.80
1974 64.50
1975 60.50
1976 56.90
1977 53.60
1978 50.60
1979 48.10
1980 45.90
1981 43.90
1982 42.30
1983 40.90
1984 39.70
1985 38.70
1986 37.80
1987 37.10
1988 36.40
1989 35.90
1990 35.30
1991 34.80
1992 34.10
1993 33.50
1994 32.70
1995 31.90
1996 31.20
1997 30.40
1998 29.70
1999 29.10
2000 28.50
2001 27.90
2002 27.40
2003 27.00
2004 26.50
2005 26.00
2006 25.50
2007 25.00
2008 24.40
2009 23.70
2010 23.10
2011 22.50
2012 21.80
2013 21.20
2014 20.40
2015 19.80
2016 19.20
2017 18.60
2018 18.00
2019 17.40
2020 16.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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