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

The value for Mortality rate, infant, female (per 1,000 live births) in Honduras was 12.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 127.90 in 1960 and a minimum value of 12.30 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 127.90
1961 123.90
1962 119.80
1963 116.00
1964 112.20
1965 108.40
1966 104.90
1967 101.40
1968 97.90
1969 94.40
1970 91.00
1971 87.70
1972 84.40
1973 81.30
1974 87.40
1975 75.20
1976 72.30
1977 69.40
1978 66.60
1979 63.90
1980 61.30
1981 58.80
1982 56.30
1983 54.00
1984 51.80
1985 49.70
1986 47.60
1987 45.70
1988 43.80
1989 42.00
1990 40.30
1991 38.60
1992 37.10
1993 35.60
1994 34.20
1995 32.90
1996 31.70
1997 30.50
1998 38.00
1999 28.10
2000 26.90
2001 25.80
2002 24.70
2003 23.70
2004 22.60
2005 21.70
2006 20.70
2007 19.90
2008 19.10
2009 18.30
2010 17.50
2011 16.90
2012 16.20
2013 15.60
2014 15.10
2015 14.60
2016 14.10
2017 13.60
2018 13.20
2019 12.80
2020 12.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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