Upper 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
Upper middle income
Records
63
Source
Upper middle income | Prevalence of overweight (modeled estimate, % of children under 5)
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7.22780657 2000
7.33921242 2001
7.45376968 2002
7.57212925 2003
7.67612362 2004
7.7672267 2005
7.83120823 2006
7.87616348 2007
7.90799761 2008
7.93958378 2009
7.96380329 2010
7.99250221 2011
8.01879501 2012
8.04075432 2013
8.06022263 2014
8.08191299 2015
8.10555172 2016
8.14097786 2017
8.20347404 2018
8.30014324 2019
8.42976475 2020
8.59375191 2021
8.78601265 2022

Upper 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
Upper middle income
Records
63
Source