Kyrgyz Republic | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on 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
Kyrgyz Republic
Records
63
Source
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value
Min
Max
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| 1999 | |
| 2000 | 28 |
| 2001 | 26.8 |
| 2002 | 25.8 |
| 2003 | 24.8 |
| 2004 | 23.8 |
| 2005 | 22.8 |
| 2006 | 21.9 |
| 2007 | 20.9 |
| 2008 | 19.9 |
| 2009 | 18.8 |
| 2010 | 17.8 |
| 2011 | 16.9 |
| 2012 | 16 |
| 2013 | 15.1 |
| 2014 | 14.4 |
| 2015 | 13.6 |
| 2016 | 13 |
| 2017 | 12.4 |
| 2018 | 11.9 |
| 2019 | 11.5 |
| 2020 | 11.1 |
| 2021 | 10.7 |
| 2022 | 10.3 |
Kyrgyz Republic | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on 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
Kyrgyz Republic
Records
63
Source