Mongolia—Overweight, Children Under 5 (%)
Mongolia's overweight, children under 5 (%) was 12.8% in 2023, ranking #2 out of 71 countries. This represents a +21.9% change from 2018. Over the past 8 years, the highest recorded value was 14.2% (2005) and the lowest was 6.1% (2004). Data sourced from the World Bank World Development Indicators.
Historical Data
| Year | Value | Change |
|---|---|---|
| 2023 | 12.8% | +21.9% |
| 2018 | 10.5% | -10.3% |
| 2016 | 11.7% | +11.4% |
| 2013 | 10.5% | -3.7% |
| 2010 | 10.9% | -23.2% |
| 2005 | 14.2% | +132.8% |
| 2004 | 6.1% | -52.0% |
| 2000 | 12.7% |
Top Countries — Overweight, Children Under 5 (%)
| # | Country | Value | Year |
|---|---|---|---|
| 1 | Turks and Caicos Islands | 18.2% | 2020 |
| 2 | Mongolia | 12.8% | 2023 |
| 3 | Saudi Arabia | 11.6% | 2020 |
| 4 | Thailand | 10.9% | 2022 |
| 5 | Egypt, Arab Rep. | 10.1% | 2021 |
| 6 | Malta | 10.1% | 2022 |
| 7 | Qatar | 10.0% | 2023 |
| 8 | Eswatini | 9.8% | 2021 |
| 9 | United States | 9.5% | 2022 |
| 10 | Viet Nam | 9.4% | 2023 |
About This Indicator
Definition
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.
Methodology
Data compiled by UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.