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

The value for Mortality rate, infant, male (per 1,000 live births) in Nicaragua was 15.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 143.40 in 1960 and a minimum value of 15.40 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 143.40
1961 142.40
1962 141.10
1963 139.90
1964 138.60
1965 137.00
1966 135.40
1967 133.50
1968 131.50
1969 129.40
1970 127.00
1971 124.40
1972 129.30
1973 117.90
1974 114.00
1975 109.50
1976 104.70
1977 99.60
1978 94.50
1979 89.50
1980 84.80
1981 80.40
1982 76.30
1983 72.80
1984 69.60
1985 66.80
1986 64.40
1987 62.20
1988 60.10
1989 58.00
1990 55.90
1991 53.70
1992 51.40
1993 49.20
1994 47.00
1995 44.70
1996 42.60
1997 40.50
1998 41.10
1999 36.50
2000 34.80
2001 33.20
2002 31.70
2003 30.30
2004 29.00
2005 27.80
2006 26.60
2007 25.50
2008 24.50
2009 23.60
2010 22.60
2011 21.80
2012 20.90
2013 20.10
2014 19.30
2015 18.60
2016 17.90
2017 17.20
2018 16.50
2019 16.00
2020 15.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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