Europe & Central Asia (excluding 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
Europe & Central Asia (excluding high income)
Records
63
Source
Europe & Central Asia (excluding high income) | Prevalence of overweight (modeled estimate, % of children under 5)
1960
1961
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11.94157243 2000
12.31301008 2001
12.72268795 2002
13.10372424 2003
13.43723441 2004
13.64372357 2005
13.74654846 2006
13.74600798 2007
13.56951945 2008
13.32922727 2009
12.88043395 2010
12.3125571 2011
11.71457885 2012
11.03474166 2013
10.35332681 2014
9.66643696 2015
8.99700536 2016
8.41186807 2017
7.96318416 2018
7.61936779 2019
7.38422705 2020
7.25741243 2021
7.16583052 2022
Europe & Central Asia (excluding 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
Europe & Central Asia (excluding high income)
Records
63
Source