Low 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
Low income
Records
63
Source
Low income | Prevalence of overweight (modeled estimate, % of children under 5)
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2000 5.07843447
2001 5.33854771
2002 5.52649927
2003 5.59212065
2004 5.50826883
2005 5.31175327
2006 5.05602932
2007 4.78891373
2008 4.53797913
2009 4.31808376
2010 4.13048553
2011 3.97187328
2012 3.83319783
2013 3.70338106
2014 3.59358859
2015 3.50634861
2016 3.44018126
2017 3.3918879
2018 3.36287665
2019 3.34815073
2020 3.34972095
2021 3.36695313
2022 3.39741063

Low 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
Low income
Records
63
Source