Marshall Islands | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards. Limitations and exceptions: Survey estimates come with levels of uncertainty due to both sampling error and non-sampling error (e.g., measurement technical error, recording error etc.,). The JME global estimates for overweight take into account estimates of sampling error around survey estimates. While non-sampling error cannot be accounted for or reviewed in full, when available, a data quality review of weight, height and age measurements from household surveys supports compilation of a time series that is comparable across countries and over time.
Publisher
The World Bank
Origin
Republic of the Marshall Islands
Records
63
Source
Marshall Islands | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
1960
1961
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1991
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39.9 2000
39.9 2001
39.4 2002
38.9 2003
38.8 2004
39 2005
38.4 2006
38.8 2007
39.2 2008
39.1 2009
38.7 2010
38 2011
37 2012
36.2 2013
35.6 2014
35 2015
34.6 2016
34.2 2017
33.6 2018
32.7 2019
31.9 2020
31.2 2021
30.5 2022
Marshall Islands | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards. Limitations and exceptions: Survey estimates come with levels of uncertainty due to both sampling error and non-sampling error (e.g., measurement technical error, recording error etc.,). The JME global estimates for overweight take into account estimates of sampling error around survey estimates. While non-sampling error cannot be accounted for or reviewed in full, when available, a data quality review of weight, height and age measurements from household surveys supports compilation of a time series that is comparable across countries and over time.
Publisher
The World Bank
Origin
Republic of the Marshall Islands
Records
63
Source