Early-demographic dividend | 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
Early-demographic dividend
Records
63
Source
Early-demographic dividend | Prevalence of overweight (modeled estimate, % of children under 5)
year value
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
2000 4.35780736
2001 4.38840825
2002 4.42901836
2003 4.45744705
2004 4.48731562
2005 4.5596205
2006 4.59063899
2007 4.65910832
2008 4.68601675
2009 4.75741749
2010 4.81002903
2011 4.86355589
2012 4.90278594
2013 4.94021334
2014 4.97661452
2015 5.01521393
2016 5.07443214
2017 5.09626594
2018 5.12643219
2019 5.10514587
2020 5.12091502
2021 5.17051773
2022 5.17388832

Early-demographic dividend | 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
Early-demographic dividend
Records
63
Source