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

The value for Mortality rate, under-5, female (per 1,000 live births) in Honduras was 14.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 196.90 in 1960 and a minimum value of 14.40 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 196.90
1961 190.20
1962 183.80
1963 177.50
1964 171.40
1965 165.20
1966 159.10
1967 153.20
1968 147.50
1969 141.70
1970 136.10
1971 130.60
1972 125.20
1973 120.10
1974 139.60
1975 110.00
1976 105.20
1977 100.50
1978 95.90
1979 91.50
1980 87.30
1981 83.10
1982 79.10
1983 75.20
1984 71.50
1985 68.00
1986 64.60
1987 61.40
1988 58.40
1989 55.60
1990 52.90
1991 50.30
1992 48.00
1993 45.80
1994 43.70
1995 41.90
1996 40.00
1997 38.20
1998 59.70
1999 34.90
2000 33.20
2001 31.60
2002 30.20
2003 28.80
2004 27.40
2005 26.10
2006 24.90
2007 23.80
2008 22.70
2009 21.70
2010 20.70
2011 19.90
2012 19.10
2013 18.40
2014 17.70
2015 17.10
2016 16.50
2017 15.90
2018 15.40
2019 14.90
2020 14.40

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