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

The value for Mortality rate, infant (per 1,000 live births) in Honduras was 13.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 139.70 in 1960 and a minimum value of 13.90 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 139.70
1961 135.40
1962 131.30
1963 127.20
1964 123.10
1965 119.30
1966 115.60
1967 111.90
1968 108.30
1969 104.70
1970 101.10
1971 97.50
1972 94.10
1973 90.60
1974 96.50
1975 84.00
1976 80.80
1977 77.60
1978 74.50
1979 71.50
1980 68.60
1981 65.90
1982 63.10
1983 60.50
1984 58.00
1985 55.60
1986 53.30
1987 51.10
1988 49.10
1989 47.00
1990 45.10
1991 43.30
1992 41.60
1993 39.90
1994 38.40
1995 36.90
1996 35.50
1997 34.20
1998 41.50
1999 31.50
2000 30.30
2001 29.00
2002 27.80
2003 26.60
2004 25.50
2005 24.40
2006 23.40
2007 22.40
2008 21.50
2009 20.60
2010 19.80
2011 19.10
2012 18.40
2013 17.70
2014 17.10
2015 16.50
2016 16.00
2017 15.40
2018 14.90
2019 14.40
2020 13.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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