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

The value for Mortality rate, under-5, female (per 1,000 live births) in Nicaragua was 14.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 186.00 in 1960 and a minimum value of 14.10 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 186.00
1961 184.20
1962 182.20
1963 180.20
1964 178.20
1965 176.00
1966 173.50
1967 170.60
1968 167.50
1969 164.10
1970 160.40
1971 156.40
1972 175.60
1973 146.80
1974 141.00
1975 134.70
1976 128.00
1977 120.90
1978 113.90
1979 107.00
1980 100.30
1981 94.20
1982 88.60
1983 83.60
1984 79.30
1985 75.60
1986 72.20
1987 69.20
1988 66.40
1989 63.70
1990 60.90
1991 57.90
1992 54.90
1993 52.00
1994 49.10
1995 46.30
1996 43.70
1997 41.10
1998 45.70
1999 36.50
2000 34.40
2001 32.50
2002 30.70
2003 29.20
2004 27.70
2005 26.40
2006 25.20
2007 24.00
2008 22.90
2009 21.90
2010 21.00
2011 20.20
2012 19.30
2013 18.50
2014 17.80
2015 17.10
2016 16.40
2017 15.80
2018 15.20
2019 14.70
2020 14.10

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