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Rank Country Percentage of adults with obesity (BMI ≥ 30) 1 Tonga: 70.54 2 Nauru: 70.18 3 Tuvalu: 63.93 4 Samoa: 61.24 5 The Bahamas: 47.61 6 Marshall Islands: 47.29
Obesity has been observed throughout human history. Many early depictions of the human form in art and sculpture appear obese. [2] However, it was not until the 20th century that obesity became common — so much so that, in 1997, the World Health Organization (WHO) formally recognized obesity as a global epidemic [3] and estimated that the worldwide prevalence of obesity has nearly tripled ...
[134] [135] It was revealed that the 2021 UK Census could be the last census conducted, as Prof Sir Ian Diamond said in early 2020 that he is "hopeful" other, newer data sources could replace the British census, adding "better and more granular" sources in a "cheaper" and "more timely" way could replace the 2021 census.
Pre-clinical obesity refers to excess fat without organ dysfunction but increased risk of developing clinical obesity and other long-term health problems such as cardiovascular disease, and Type 2 ...
Unless otherwise noted, areas and populations are sourced from the United Nations World Population Prospects, which uses the latest censuses and official figures, as well as figures from the United Nations Department of Economic and Social Affairs. Data is current as of 2023.
The Lancet Commission on Obesity in 2019 called for a global treaty—modelled on the WHO Framework Convention on Tobacco Control—committing countries to address obesity and undernutrition, explicitly excluding the food industry from policy development. They estimate the global cost of obesity $2 trillion a year, about or 2.8% of world GDP. [248]
The U.N.’s previous population assessment, released in 2022, suggested that humanity could grow to 10.4 billion people by the late 2000s, but lower birth rates in some of the world’s largest ...
WorldPop develops statistical population modelling methods to produce gridded population estimates that support census activities. [11] [12] The programme develops new methods for data synthesis that use demographic and health surveys, census, satellite imagery, [13] cell phone [14] and other data to create consistent gridded outputs [15] and map detailed population densities.