Zimbabwe | 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 Zimbabwe
Records
63
Source
Zimbabwe | Prevalence of stunting, height for age (modeled estimate, % of children under 5)
1960
1961
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1987
1988
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1990
1991
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1994
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32.8 2000
33.1 2001
33.6 2002
34.1 2003
34.4 2004
34.8 2005
35 2006
34.9 2007
34.7 2008
34.2 2009
33.5 2010
32.4 2011
31.1 2012
29.6 2013
28.1 2014
26.8 2015
25.6 2016
24.6 2017
23.8 2018
23.1 2019
22.5 2020
22 2021
21.6 2022

Zimbabwe | 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 Zimbabwe
Records
63
Source