In 2022, over ** percent of both men and women in the United States reported themselves as obese (BMI over 30), making it the country with the highest percentage of obese adults on this list. Other selected countries on the list with a high prevalence of obesity among adults included the United Kingdom and Australia. Obesity groups in the United States In 2023, Black adults had the highest overweight and obesity rates of any race or ethnicity in the United States. Asians and Native Hawaiians or Pacific Islanders had the lowest rates by far, with roughly ** percent. In 2022, almost ** percent of people aged 65 and older were obese in the United States. This estimate has been steadily increasing since 2013 when roughly ** percent of elderly Americans were obese. Leading health problems worldwide Obesity was considered one of 2024’s biggest health problems: ** percent of adults worldwide stated that obesity was the biggest health issue for people within their country. Around ** percent of adults stated that mental health was the most significant problem facing their country that year.

West Virginia, Mississippi, and Arkansas are the U.S. states with the highest percentage of their population who are obese. The states with the lowest percentage of their population who are obese include Colorado, Hawaii, and Massachusetts. Obesity in the United States Obesity is a growing problem in many countries around the world, but the United States has the highest rate of obesity among all OECD countries. The prevalence of obesity in the United States has risen steadily over the previous two decades, with no signs of declining. Obesity in the U.S. is more common among women than men, and overweight and obesity rates are higher among African Americans than any other race or ethnicity. Causes and health impacts Obesity is most commonly the result of a combination of poor diet, overeating, physical inactivity, and a genetic susceptibility. Obesity is associated with various negative health impacts, including an increased risk of cardiovascular diseases, certain types of cancer, and diabetes type 2. As of 2022, around 8.4 percent of the U.S. population had been diagnosed with diabetes. Diabetes is currently the eighth leading cause of death in the United States.

BackgroundIn high-income countries, obesity prevalence (body mass index greater than or equal to 30 kg/m2) is highest among the poor, while overweight (body mass index greater than or equal to 25 kg/m2) is prevalent across all wealth groups. In contrast, in low-income countries, the prevalence of overweight and obesity is higher among wealthier individuals than among poorer individuals. We characterize the transition of overweight and obesity from wealthier to poorer populations as countries develop, and project the burden of overweight and obesity among the poor for 103 countries.Methods and findingsOur sample used 182 Demographic and Health Surveys and World Health Surveys (n = 2.24 million respondents) from 1995 to 2016. We created a standard wealth index using household assets common among all surveys and linked national wealth by country and year identifiers. We then estimated the changing probability of overweight and obesity across every wealth decile as countries’ per capita gross domestic product (GDP) rises using logistic and linear fixed-effect regression models. We found that obesity rates among the wealthiest decile were relatively stable with increasing national wealth, and the changing gradient was largely due to increasing obesity prevalence among poorer populations (3.5% [95% uncertainty interval: 0.0%–8.3%] to 14.3% [9.7%–19.0%]). Overweight prevalence among the richest (45.0% [35.6%–54.4%]) and the poorest (45.5% [35.9%–55.0%]) were roughly equal in high-income settings. At $8,000 GDP per capita, the adjusted probability of being obese was no longer highest in the richest decile, and the same was true of overweight at $10,000. Above $25,000, individuals in the richest decile were less likely than those in the poorest decile to be obese, and the same was true of overweight at $50,000. We then projected overweight and obesity rates by wealth decile to 2040 for all countries to quantify the expected rise in prevalence in the relatively poor. Our projections indicated that, if past trends continued, the number of people who are poor and overweight will increase in our study countries by a median 84.4% (range 3.54%–383.4%), most prominently in low-income countries. The main limitations of this study included the inclusion of cross-sectional, self-reported data, possible reverse causality of overweight and obesity on wealth, and the lack of physical activity and food price data.ConclusionsOur findings indicate that as countries develop economically, overweight prevalence increased substantially among the poorest and stayed mostly unchanged among the wealthiest. The relative poor in upper- and lower-middle income countries may have the greatest burden, indicating important planning and targeting needs for national health programs.

Approximately *** percent of adolescents (10-19 years old) worldwide were obese in the year 2016, up from *** percent in 2000. The statistic illustrates the percentage of people worldwide who were overweight and obese in 2000 and 2016, by age.

Historical dataset showing World obesity rate by year from N/A to N/A.

Mali ML: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 1.900 % in 2015. This records an increase from the previous number of 1.000 % for 2010. Mali ML: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 2.100 % from Dec 1987 (Median) to 2015, with 6 observations. The data reached an all-time high of 4.700 % in 2006 and a record low of 0.500 % in 1987. Mali ML: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Health Statistics. 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 new child growth standards released in 2006.; ; 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.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues

In 2021, around 16 percent of deaths in Bahrain were attributed to obesity, while around nine percent of deaths in the United States were attributed to obesity. This statistic shows the percentage of deaths in select countries worldwide that were attributed to obesity in 2021.

Panama PA: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 10.900 % in 2024. This records a decrease from the previous number of 11.100 % for 2023. Panama PA: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 10.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 11.500 % in 2019 and a record low of 8.300 % in 2000. Panama PA: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Panama – Table PA.World Bank.WDI: Social: Health Statistics. 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.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

This dataset shows the levels of overweight and obese people by country. Data is provided for 2002 and 2010 as a percentage of the total population and is also broken down by sex. Rates of change between 2002 and 2010 are also provided. The data was collated by the World Health Organisation (WHO)(http://www.who.int/gho/ncd/risk_factors/overweight/en/index.html) and was downloaded via the Guardian website (http://www.theguardian.com/news/datablog/interactive/2013/feb/19/obesity-map-of-world-weight). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-01-03 and migrated to Edinburgh DataShare on 2017-02-22.

United States Prevalence of Overweight: % of Adults data was reported at 67.900 % in 2016. This records an increase from the previous number of 67.400 % for 2015. United States Prevalence of Overweight: % of Adults data is updated yearly, averaging 55.200 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 67.900 % in 2016 and a record low of 41.000 % in 1975. United States Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;

As of 2016, the most overweight countries worldwide included Nauru, Palau, and the Cook Islands. As of that time, around 70 percent of the adult population in the United States was either overweight or obese. This statistic shows the countries with the highest share of the population that is overweight or obese as of 2016.

According to Cognitive Market Research, the global Obesity Intervention Devices market size was USD 256.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 102.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 76.86 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 58.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 12.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 5.12 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The Gastric Bands Device held the highest Obesity Intervention Devices market revenue share in 2024.

Market Dynamics of Obesity Intervention Devices Market

Key Drivers for Obesity Intervention Devices Market

Rising Obesity Rates to Increase the Demand Globally

Rising obesity rates are driving the obesity intervention devices market due to the increasing need for effective management and treatment solutions. As obesity rates escalate globally, more individuals require medical devices designed to aid in weight loss and management. This growing demand prompts healthcare providers and patients to seek advanced intervention options, such as surgical devices, non-surgical tools, and monitoring systems. The escalating prevalence of obesity-related health conditions, such as diabetes and cardiovascular diseases, further accelerates the need for these devices. In response, the market is expanding to offer innovative solutions that address the urgent need for effective obesity management, supporting the growth of the obesity intervention devices sector.

Growing awareness of obesity-related health risks to Propel Market Growth

Growing awareness of obesity-related health risks is driving the obesity intervention devices market as individuals and healthcare professionals increasingly recognize the serious health implications of obesity. This heightened awareness highlights the need for effective interventions to manage and reduce obesity, leading to a surge in demand for medical devices designed for weight management. As public awareness campaigns, educational programs, and media coverage shed light on the risks associated with obesity—such as diabetes, heart disease, and hypertension—more people are motivated to seek solutions. Consequently, healthcare providers are more likely to recommend advanced obesity intervention devices. This increased focus on prevention and treatment drives the growth of the market, fostering innovation and expanding the range of available obesity management solutions.

Restraint Factor for the Obesity Intervention Devices Market

High Initial Costs to Limit the Sales

High initial costs are restraining the obesity intervention devices market because the substantial investment required for advanced medical devices can limit their accessibility and adoption. These devices often involve complex technology and manufacturing processes, leading to elevated prices. For many patients and healthcare providers, the high cost poses a barrier, particularly in regions with limited healthcare budgets or insurance coverage. This financial constraint can delay or prevent the acquisition and use of such devices, impacting market growth. Additionally, high costs can lead to limited market penetration, especially in low- and middle-income countries where affordability is a significant issue. As a result, the high initial costs of obesity intervention devices can significantly restrict market expansion and adoption.

Impact of Covid-19 on the Obesity Intervention Devices Market

The COVID-19 pandemic impacted the obesity intervention devices market by disrupting supply chains and delaying elective procedures, including those related to obesity treatment. Lockdowns and social distancing measures led to reduced patient visits and p...

Introduction: Severe obesity among children and adolescents has emerged as a public health concern in multiple places around the world. Methods: We searched the Medline database for articles on severe obesity rates in children published between January 1960 and January 2020. For studies with available prevalence rates for an early and a more recent time period, the relative increase in prevalence was imputed.
Results: In total, 874 publications were identified, of which 38 contained relevant epidemiological data. Rates of severe obesity varied significantly according to age, gender, geographic area, and the definition of severe obesity. The highest rates of class II and III obesity in the US according to the Centers of Disease Control cutoff were 9.5% and 4.5%, respectively. Seventeen studies reported prevalence rates in at least two time periods. Data for 9,190,718 individuals showed a 1.71 (95%CI, 1.53-1.90) greater odds for severe obesity in 2006-2017 (N=5,029,584) vs. 1967-2007 (N=4,161,134). In an analysis limited to studies from 1980s’ with a minimum follow-up of 20 years, a 9.16(95%CI, 7.76-10.80) greater odds for severe obesity in recent vs. earlier time was found. An analysis limited to studies from 2000, with a follow-up of 5-15 years, a 1.09 (95%CI, 0.99-1.20) greater odds was noted when comparing (2011-2017; N=4,991,831) vs. (2000-2011; N=4,134,340). Conclusion: Severe pediatric obesity is escalating with a marked increase from the1980’s and a slower rate from 2000.

Bangladesh BD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 1.600 % in 2024. This records a decrease from the previous number of 1.700 % for 2023. Bangladesh BD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 1.600 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 2.000 % in 2019 and a record low of 0.700 % in 2000. Bangladesh BD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Social: Health Statistics. 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.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

Obesity Intervention Devices Market size was valued at USD 267.88 Million in 2024 and is projected to reach USD 417.08 Million by 2031, growing at a CAGR of 5.69% during the forecast period 2024-2031.

Global Obesity Intervention Devices Market Drivers

The market drivers for the Obesity Intervention Devices Market can be influenced by various factors. These may include:

Growing Obesity Rates: Due to changes in nutrition, lifestyle, and physical activity levels, obesity rates have been rising globally throughout time. As a result, there is an increasing need for therapies that deal with health problems associated with obesity. Enhanced Knowledge and Education: As people become more conscious of the health hazards linked to obesity, there is a greater need for efficient solutions. This awareness is further fueled by educational programs and public health campaigns. Technological Developments: Wearables, implantable devices, and minimally invasive surgery are just a few of the novel obesity intervention devices that have been made possible by advances in medical technology. These developments draw in patients looking for practical answers as well as healthcare professionals. Government Policies and Initiatives: By fostering an environment that is conducive to the adoption of obesity intervention devices, government policies and initiatives, such as taxes on sugar-filled beverages, subsidies for healthful foods, and physical activity-promoting regulations, can help drive demand for these devices. Healthcare Cost Burden: Health problems associated with obesity place a heavy financial strain on healthcare systems around the globe. Consequently, there is an increasing emphasis on interventions and preventive strategies to lower healthcare expenses connected to illnesses related to obesity. This justifies the purchase of obesity intervention technology as an affordable fix. Growing Healthcare Expenditure: Consumers and healthcare providers are eager to invest in cutting-edge therapies and equipment for managing obesity, as seen by the general increase in healthcare spending around the world. Changing Demographics: The incidence of obesity and associated health problems is influenced by aging populations and shifting demographics, especially in wealthy nations. The need for obesity intervention tools that can specifically cater to the needs of senior populations is being driven by this shift in demographics. Lifestyle Changes: The obesity epidemic is partly caused by urbanization, sedentary lifestyles, and changes in food habits. Obesity intervention devices are appealing choices for people looking for efficient weight-management techniques since they provide answers that fit with contemporary lifestyles. Growing Interest in Personalized Medicine: Thanks to developments in precision medicine and genetics, there is a growing movement in personalized healthcare. Customized obesity prevention tools that consider personal characteristics like genetics, metabolism, and behavior are becoming more and more popular. Partnerships and Collaborations: The development of comprehensive obesity management solutions, including intervention devices, is fueled by partnerships and collaborations among healthcare providers, pharmaceutical companies, research institutes, and makers of medical devices. These collaborations support the field's efforts in R&D and commercialization.

Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 3.800 % in 2024. This records an increase from the previous number of 3.700 % for 2023. Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3.800 % in 2024 and a record low of 2.500 % in 2007. Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. 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.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

In 2020, the European region had the highest number of children with obesity in the world, with approximately 70 million obese children. The Western Pacific region followed, with around 51 million children suffering from obesity. This statistic depicts the number of children under 20 years worldwide who were obese in 2020 and forecasts to 2035, by WHO region.

Context

The World Factbook provides information on the history, people and society, government, economy, energy, geography, communications, transportation, military, and transnational issues for 267 world entities.

Content

This data set includes some indicators of people and society by country for 2016 and 2018. An excerpt from the archive was made for a research project in search of happiness.

Inspiration

• Which countries are in the top for obesity?
• Where is the highest death rate of AIDS?
• How are birth rate and infant mortality rate related?
• In which countries do people live longer?
• Which countries can be considered healthier in general?

Introduction

Weight Loss Statistics: In 2024, weight loss remains a prominent concern worldwide, driven by rising obesity rates and an increased focus on health and wellness. As more people become aware of the health risks associated with being overweight, the demand for effective weight loss solutions continues to grow.

This report explores the latest weight loss statistics, highlighting key trends, popular methods, and the economic impact of the industry. With a global market value projected to surpass almost USD 300 billion this year, the weight loss industry is not only a reflection of changing lifestyle choices but also a significant contributor to the global economy.

This project is focusing on the below indicators: 1- Human development index ( HDI) :is a metric compiled by the United Nations and used to quantify a country's average achievement in three basic dimensions of human development: a long and healthy life, knowledge and a decent standard of living between 0 and 1.0, with 1.0 being the highest possible human development

2- GDP :Gross Domestic Product (GDP) is the monetary market value of all final goods and services made within a country during a specific period -In USD per capita

3- Obese rate :as abnormal or excessive fat accumulation that presents a risk to health. A body mass index (BMI) over 25 is considered overweight, and over 30 is obese. 0-100 , for both genders

4-Democracy Index :evaluates a nation's level of democracy 0-100 The higher the better

5- Life expectancy :The number of years a person can expect to live in years 0-100 The higher the better

6-GPI: the GPI evaluates a total of 23 indicators to compile the list, which can be sorted into three distinct categories: militarization, safety and security, and domestic an d international conflict. These indicators are then combined into a single Peace Index Score1-4 the lower the better

7-IQ rate :Intelligence quotient (IQ) is a measure of human intelligence 40-110 score The higher the better

8-the Corruption Perceptions Index (CPI): which ranks nations according to their perceived levels of corruption using expert evaluations and opinion : 1-100 The lower the score, the more corrupt a country is considered to be.

9- Suicide rate : Rates are per 100,000 people :0-100 The lower the better