Costa Rica - Mortality rate, under-5, male (per 1,000 live births)

The value for Mortality rate, under-5, male (per 1,000 live births) in Costa Rica was 8.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 100.80 in 1960 and a minimum value of 8.50 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 100.80
1961 97.80
1962 97.20
1963 97.90
1964 97.50
1965 95.40
1966 92.60
1967 89.60
1968 86.70
1969 83.60
1970 80.00
1971 75.50
1972 69.80
1973 63.30
1974 56.60
1975 49.90
1976 43.50
1977 37.70
1978 32.90
1979 29.40
1980 27.30
1981 26.20
1982 25.70
1983 25.50
1984 25.20
1985 24.70
1986 23.70
1987 22.50
1988 21.10
1989 19.70
1990 18.70
1991 17.90
1992 17.30
1993 16.90
1994 16.60
1995 16.40
1996 16.20
1997 16.00
1998 15.60
1999 15.00
2000 14.40
2001 13.80
2002 13.30
2003 12.90
2004 12.60
2005 12.40
2006 12.30
2007 12.10
2008 11.90
2009 11.70
2010 11.40
2011 11.10
2012 10.70
2013 10.40
2014 10.00
2015 9.80
2016 9.50
2017 9.30
2018 9.00
2019 8.70
2020 8.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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