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

The value for Mortality rate, infant, female (per 1,000 live births) in Marshall Islands was 22.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 77.80 in 1960 and a minimum value of 22.30 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 77.80
1961 74.50
1962 71.30
1963 68.40
1964 65.70
1965 63.20
1966 60.90
1967 58.70
1968 56.60
1969 54.70
1970 52.70
1971 51.00
1972 49.60
1973 48.30
1974 47.40
1975 46.70
1976 46.20
1977 45.70
1978 45.20
1979 44.70
1980 44.00
1981 43.30
1982 42.40
1983 41.40
1984 40.40
1985 39.30
1986 38.10
1987 37.00
1988 35.80
1989 34.60
1990 33.50
1991 32.30
1992 31.30
1993 30.40
1994 29.80
1995 29.50
1996 29.40
1997 29.50
1998 29.70
1999 29.90
2000 30.00
2001 30.00
2002 29.90
2003 29.70
2004 29.40
2005 29.20
2006 29.00
2007 28.70
2008 28.40
2009 28.10
2010 27.80
2011 27.50
2012 27.10
2013 26.60
2014 26.10
2015 25.50
2016 24.80
2017 24.20
2018 23.60
2019 23.00
2020 22.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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