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

The value for Mortality rate, infant, male (per 1,000 live births) in Micronesia was 23.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 96.70 in 1960 and a minimum value of 23.70 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 96.70
1961 93.20
1962 89.90
1963 86.80
1964 83.60
1965 80.60
1966 77.70
1967 74.90
1968 72.40
1969 70.00
1970 67.70
1971 65.60
1972 63.50
1973 61.70
1974 60.00
1975 58.50
1976 57.00
1977 55.70
1978 54.60
1979 53.60
1980 52.80
1981 52.20
1982 51.60
1983 51.00
1984 50.40
1985 49.60
1986 48.60
1987 47.40
1988 46.20
1989 45.00
1990 43.90
1991 43.00
1992 42.20
1993 41.50
1994 40.80
1995 40.00
1996 39.20
1997 38.10
1998 37.10
1999 36.10
2000 35.10
2001 34.20
2002 33.60
2003 33.10
2004 32.70
2005 32.60
2006 32.50
2007 32.30
2008 32.10
2009 31.70
2010 31.20
2011 30.50
2012 29.90
2013 29.10
2014 28.40
2015 27.50
2016 26.70
2017 25.90
2018 25.10
2019 24.40
2020 23.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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