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

The value for Mortality rate, under-5 (per 1,000 live births) in Nicaragua was 16.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 197.50 in 1960 and a minimum value of 16.00 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 197.50
1961 195.50
1962 193.50
1963 191.60
1964 189.50
1965 187.30
1966 184.60
1967 181.80
1968 178.60
1969 175.30
1970 171.50
1971 167.40
1972 186.30
1973 157.30
1974 151.30
1975 144.70
1976 137.50
1977 130.10
1978 122.70
1979 115.40
1980 108.50
1981 102.00
1982 96.10
1983 90.90
1984 86.30
1985 82.30
1986 78.80
1987 75.70
1988 72.70
1989 69.70
1990 66.70
1991 63.60
1992 60.50
1993 57.40
1994 54.30
1995 51.40
1996 48.50
1997 45.70
1998 50.20
1999 40.80
2000 38.50
2001 36.50
2002 34.60
2003 32.90
2004 31.30
2005 29.90
2006 28.50
2007 27.30
2008 26.10
2009 24.90
2010 23.90
2011 22.90
2012 22.00
2013 21.10
2014 20.20
2015 19.40
2016 18.60
2017 17.90
2018 17.30
2019 16.60
2020 16.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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