Low & 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
Low & middle income
Records
63
Source
Low & middle income | Prevalence of overweight (modeled estimate, % of children under 5)
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5.24267817 2000
5.35419512 2001
5.44842005 2002
5.50966549 2003
5.51765251 2004
5.48358822 2005
5.4280901 2006
5.37202454 2007
5.3263278 2008
5.29673862 2009
5.27802277 2010
5.27061844 2011
5.27321005 2012
5.28198576 2013
5.29425621 2014
5.30762529 2015
5.31482124 2016
5.32240582 2017
5.33064699 2018
5.33665419 2019
5.34569502 2020
5.35978937 2021
5.3704648 2022

Low & 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
Low & middle income
Records
63
Source