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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2000 5.26734877
2001 5.35659218
2002 5.43618059
2003 5.49643564
2004 5.5191884
2005 5.51229715
2006 5.49162531
2007 5.47365761
2008 5.46620226
2009 5.47315502
2010 5.48806381
2011 5.51169872
2012 5.54361439
2013 5.58172464
2014 5.62123585
2015 5.65883017
2016 5.68605328
2017 5.71171284
2018 5.73686647
2019 5.75919437
2020 5.784163
2021 5.81417799
2022 5.83854246

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