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

The value for Mortality rate, infant, male (per 1,000 live births) in Marshall Islands was 28.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 92.40 in 1960 and a minimum value of 28.50 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 92.40
1961 88.60
1962 85.20
1963 81.90
1964 78.90
1965 76.00
1966 73.40
1967 70.90
1968 68.40
1969 66.20
1970 64.10
1971 62.10
1972 60.30
1973 58.90
1974 57.80
1975 57.10
1976 56.50
1977 55.90
1978 55.40
1979 54.70
1980 54.00
1981 53.20
1982 52.20
1983 51.00
1984 49.80
1985 48.50
1986 47.20
1987 45.80
1988 44.40
1989 43.00
1990 41.60
1991 40.30
1992 39.10
1993 38.00
1994 37.30
1995 36.90
1996 36.80
1997 36.90
1998 37.10
1999 37.40
2000 37.50
2001 37.60
2002 37.50
2003 37.30
2004 37.10
2005 36.80
2006 36.60
2007 36.30
2008 36.00
2009 35.70
2010 35.40
2011 35.10
2012 34.50
2013 33.90
2014 33.20
2015 32.40
2016 31.70
2017 30.90
2018 30.10
2019 29.30
2020 28.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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