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
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value
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Max
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| 1990 | |
| 1991 | |
| 1992 | |
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| 1994 | |
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| 1996 | |
| 1997 | |
| 1998 | |
| 1999 | |
| 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