Least developed countries: UN classification | Prevalence of overweight (modeled estimate, % of children under 5)

Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by 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
Least developed countries: UN classification
Records
63
Source
Least developed countries: UN classification | Prevalence of overweight (modeled estimate, % of children under 5)
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3.88074375 2000
4.06926913 2001
4.22626402 2002
4.25080501 2003
4.1959249 2004
4.06878144 2005
3.87954168 2006
3.66856987 2007
3.50177909 2008
3.36001684 2009
3.251798 2010
3.18235796 2011
3.11480009 2012
3.09343676 2013
3.07978592 2014
3.07196124 2015
3.06922592 2016
3.08908688 2017
3.09310716 2018
3.10213169 2019
3.1076881 2020
3.14873067 2021
3.18443291 2022

Least developed countries: UN classification | Prevalence of overweight (modeled estimate, % of children under 5)

Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by 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
Least developed countries: UN classification
Records
63
Source