High income | 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
High income
Records
63
Source
High income | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
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4.69629192 2000
4.61108589 2001
4.54621887 2002
4.4769125 2003
4.41216993 2004
4.36692762 2005
4.32857227 2006
4.27788734 2007
4.210289 2008
4.13828039 2009
4.06782627 2010
4.00706339 2011
3.96325803 2012
3.94199681 2013
3.93993902 2014
3.94799376 2015
3.95680547 2016
3.96223879 2017
3.96929598 2018
3.97599149 2019
3.98710227 2020
3.99360204 2021
3.99891281 2022
High income | 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
High income
Records
63
Source