High 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
High income
Records
63
Source
High income | Prevalence of overweight (modeled estimate, % of children under 5)
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2000 6.03550911
2001 6.13036823
2002 6.23545074
2003 6.3525157
2004 6.47440243
2005 6.59839869
2006 6.72263813
2007 6.84437084
2008 6.95953798
2009 7.06947899
2010 7.17165041
2011 7.2680831
2012 7.36128759
2013 7.44657278
2014 7.51897907
2015 7.57700634
2016 7.61876345
2017 7.64558601
2018 7.66223288
2019 7.67109251
2020 7.66940498
2021 7.65645266
2022 7.63078833

High 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
High income
Records
63
Source