Middle income | 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
Middle income
Records
63
Source
Middle income | Prevalence of overweight (modeled estimate, % of children under 5)
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5.26734877 2000
5.35659218 2001
5.43618059 2002
5.49643564 2003
5.5191884 2004
5.51229715 2005
5.49162531 2006
5.47365761 2007
5.46620226 2008
5.47315502 2009
5.48806381 2010
5.51169872 2011
5.54361439 2012
5.58172464 2013
5.62123585 2014
5.65883017 2015
5.68605328 2016
5.71171284 2017
5.73686647 2018
5.75919437 2019
5.784163 2020
5.81417799 2021
5.83854246 2022
Middle income | 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
Middle income
Records
63
Source