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

The value for Mortality rate, infant (per 1,000 live births) in Nicaragua was 13.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 132.90 in 1960 and a minimum value of 13.80 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 132.90
1961 131.60
1962 130.40
1963 129.20
1964 127.80
1965 126.40
1966 124.80
1967 123.00
1968 121.00
1969 119.00
1970 116.70
1971 114.20
1972 119.40
1973 108.10
1974 104.30
1975 100.20
1976 95.70
1977 91.00
1978 86.40
1979 81.70
1980 77.30
1981 73.20
1982 69.50
1983 66.20
1984 63.20
1985 60.70
1986 58.50
1987 56.50
1988 54.60
1989 52.70
1990 50.70
1991 48.80
1992 46.70
1993 44.60
1994 42.50
1995 40.40
1996 38.40
1997 36.50
1998 37.30
1999 33.00
2000 31.40
2001 29.90
2002 28.50
2003 27.20
2004 26.00
2005 24.90
2006 23.90
2007 22.90
2008 22.00
2009 21.10
2010 20.30
2011 19.50
2012 18.70
2013 18.00
2014 17.30
2015 16.60
2016 16.00
2017 15.40
2018 14.80
2019 14.30
2020 13.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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