South Africa | 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 South Africa
Records
63
Source
South Africa | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
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26.6 2000
26.3 2001
26.2 2002
26.2 2003
26.2 2004
26.2 2005
26 2006
25.5 2007
24.8 2008
24.1 2009
23.4 2010
22.9 2011
22.5 2012
22.4 2013
22.3 2014
22.3 2015
22.4 2016
22.4 2017
22.4 2018
22.5 2019
22.6 2020
22.8 2021
22.8 2022
South Africa | 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 South Africa
Records
63
Source