Kazakhstan | 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
Republic of Kazakhstan
Records
63
Source
Kazakhstan | Prevalence of overweight (modeled estimate, % of children under 5)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
7.7 2000
8.5 2001
9.3 2002
10.1 2003
10.8 2004
11.4 2005
12 2006
12.4 2007
12.7 2008
12.7 2009
12.7 2010
12.4 2011
12.1 2012
11.6 2013
11.1 2014
10.5 2015
10 2016
9.4 2017
8.9 2018
8.5 2019
8.2 2020
7.9 2021
7.7 2022
Kazakhstan | 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
Republic of Kazakhstan
Records
63
Source