Maldives | 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
Republic of Maldives
Records
63
Source
Maldives | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
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1991
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33.7 2000
32.6 2001
31.4 2002
29.9 2003
28.1 2004
26.4 2005
24.5 2006
22.6 2007
20.8 2008
19.3 2009
18.1 2010
17.1 2011
16.4 2012
15.9 2013
15.6 2014
15.5 2015
15.3 2016
15.1 2017
14.9 2018
14.6 2019
14.3 2020
14.1 2021
13.9 2022

Maldives | 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
Republic of Maldives
Records
63
Source