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

The value for Mortality rate, under-5 (per 1,000 live births) in Honduras was 16.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 208.40 in 1960 and a minimum value of 16.20 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
1960 208.40
1961 201.60
1962 194.90
1963 188.50
1964 182.00
1965 175.80
1966 169.70
1967 163.70
1968 157.70
1969 151.80
1970 146.10
1971 140.40
1972 134.90
1973 129.40
1974 148.70
1975 118.90
1976 113.90
1977 108.90
1978 104.00
1979 99.40
1980 94.80
1981 90.40
1982 86.10
1983 82.00
1984 78.10
1985 74.30
1986 70.70
1987 67.30
1988 64.10
1989 61.00
1990 58.20
1991 55.50
1992 53.00
1993 50.60
1994 48.40
1995 46.30
1996 44.30
1997 42.40
1998 63.70
1999 38.70
2000 37.00
2001 35.30
2002 33.70
2003 32.10
2004 30.60
2005 29.20
2006 27.90
2007 26.70
2008 25.50
2009 24.40
2010 23.30
2011 22.40
2012 21.50
2013 20.70
2014 20.00
2015 19.20
2016 18.60
2017 18.00
2018 17.40
2019 16.80
2020 16.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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