Late-demographic dividend | 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
Late-demographic dividend
Records
63
Source
Late-demographic dividend | Prevalence of overweight (modeled estimate, % of children under 5)
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6.69744788 2000
6.77834762 2001
6.922969 2002
7.01021945 2003
7.07846242 2004
7.19025569 2005
7.22640789 2006
7.25764775 2007
7.26131142 2008
7.3109572 2009
7.28927584 2010
7.31903443 2011
7.40364454 2012
7.43103019 2013
7.51781204 2014
7.55129148 2015
7.63795357 2016
7.68224619 2017
7.79066832 2018
7.91128286 2019
8.04948285 2020
8.24478631 2021
8.44785938 2022

Late-demographic dividend | 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
Late-demographic dividend
Records
63
Source