Surveys in which U.S. adults report their current weight have shown that the share of those reporting they weigh 200 pounds or more has increased over the past few decades. In 2024, around 28 percent of respondents reported their weight as 200 pounds or more, compared to 15 percent in 1990. However, the same surveys show the share of respondents who report they are overweight has decreased compared to figures from 1990. What percentage of the U.S. population is obese? Obesity is an increasing problem in the United States that is expected to become worse in the coming decades. As of 2023, around one third of adults in the United States were considered obese. Obesity is slightly more prevalent among women in the United States, and rates of obesity differ greatly by region and state. For example, in West Virginia, around 41 percent of adults are obese, compared to 25 percent in Colorado. However, although Colorado is the state with the lowest prevalence of obesity among adults, a quarter of the adult population being obese is still shockingly high. The health impacts of being obese Obesity increases the risk of developing a number of health conditions including high blood pressure, heart disease, type 2 diabetes, and certain types of cancer. It is no coincidence that the states with the highest rates of hypertension are also among the states with the highest prevalence of obesity. West Virginia currently has the third highest rate of hypertension in the U.S. with 45 percent of adults with the condition. It is also no coincidence that as rates of obesity in the United States have increased so have rates of diabetes. As of 2022, around 8.4 percent of adults in the United States had been diagnosed with diabetes, compared to six percent in the year 2000. Obesity can be prevented through a healthy diet and regular exercise, which also increases overall health and longevity.

This statistic depicts the average male body weight of U.S. adults aged 20 years and over from 1999 to 2016. According to the data, the average male body weight for those aged 40-59 years was ***** in 1999-2000 and increased to ***** as of 2015-2016.

In 2024, the mean average weight reported by men was 195 pounds, while the mean average weight for women was 164 pounds. This statistic shows the mean self-reported weight among U.S. adults from 1990 to 2024, by gender, in pounds.

This survey depicts the prevalence of obese and overweight pet dogs in the United States as of 2018. Around 19 percent of dogs were reported to be obese and some 37 percent to be overweight.

As of February 2021, millennials in the United States reported an average undesired weight gain of 41 pounds since the start of the COVID-19 pandemic. This statistic illustrates the average undesired weight gain reported by adults in the United States since the start of the COVID-19 pandemic as of February 2021 by demographic.

This statistic depicts the average body weight of U.S. females aged 20 years and over from 1999 to 2016, by ethnicity. According to the data, the average female body weight for those that identified as non-Hispanic white has increased from ***** in ********* to ***** in *********.

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Weight Management Market Size 2025-2029

The weight management market size is forecast to increase by USD 114.79 billion at a CAGR of 10.9% between 2024 and 2029.

The market is driven by the growing obese population and rising demand for weight management services from developing economies. The increasing prevalence of obesity and related health issues globally presents a significant opportunity for market participants. However, marketing challenges associated with weight management products and services pose a significant hurdle. The stigma surrounding obesity and the perception that weight loss is a personal responsibility rather than a health issue create barriers to market penetration. Health insurance plays a pivotal role in covering costs, while fitness apps and mobile health apps enhance accessibility and tracking.
Companies seeking to capitalize on market opportunities must address these challenges through innovative marketing strategies, affordable pricing, and education initiatives to shift societal perceptions and increase accessibility to weight management services. By focusing on these areas, market participants can effectively navigate challenges and capitalize on the growing demand for weight management solutions. Innovative weight management solutions include waistline control, fitness equipment, surgical equipment, healthy dietary choices, and lifestyle changes.

What will be the Size of the Weight Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market for weight management solutions continues to evolve, reflecting the complex and multifaceted nature of weight management and its applications across various sectors. Sleeve gastrectomy and adjustable gastric banding are among the surgical interventions, while anti-obesity medications and pharmacological interventions offer alternative approaches. The prevalence of metabolic syndrome and its associated health risks, including cardiovascular disease and type 2 diabetes, underscores the urgency for sustainable weight loss solutions. Mindful eating, nutrition education, and meal planning are essential components of health behavior modification, while physical fitness and regular exercise routines contribute to weight regain prevention. Fitness and recreational sports centers are offering a wide range of HIIT classes, and HIIT fitness videos are flooding the market.

Hormonal imbalance and stress management are also crucial factors in weight management. The industry is expected to grow by 5.3% annually, driven by the increasing prevalence of obesity and related health issues. For instance, a study showed that patients who underwent bariatric surgery experienced an average weight loss of 30% within the first year. Social media and the young population's hectic lifestyles have led to increased fast food consumption and weight-related health issues, necessitating preventive measures and weight management programs. Additionally, the complexity and cost of weight management solutions can deter potential customers, particularly in developing economies with limited resources.

How is this Weight Management Industry segmented?

The weight management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Diet
  Equipment
  Services


Distribution Channel

  Offline
  Online


End-user

  Fitness centers and health clubs
  Commercial weight loss centers
  Online weight loss programs
  Slimming centers
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The Diet segment is estimated to witness significant growth during the forecast period. The market is driven by the growing concern over health issues related to visceral fat, weight fluctuation, and obesity. Obesity, characterized by a body mass index (BMI) of 30 or higher, affects over one-third of the global population. This condition can lead to various health complications, including high blood pressure, joint problems, diabetes, and insulin sensitivity issues. To combat these health concerns, weight loss programs focusing on calorie expenditure through diet and physical activity have gained popularity. Diets, specifically, dominate the market, as they offer a more sustainable approach to weight management. Nutritional counseling and micronutrient intake are essential components of effective weight loss programs, ensuring a balanced macronutrient and micronutrient intake. Obesity rates continue to rise, fueling the demand for

Table 2 - Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight

Overall Rank for each state was obtained in the following manner. First, we converted the 2005 (or 2004, depending on the indicator) state numerical values for each of the 10 key indicators into standard scores. We then summed those standard scores to create a total standard score for each of the 50 states. Finally, we ranked the states on the basis of their total standard score in sequential order from highest/best (1) to lowest/ worst (50). Standard scores were derived by subtracting the mean score from the observed score and dividing the amount by the standard deviation for that distribution of scores. All measures were given the same weight in calculating the total standard score.

Objective and aimsIdentification of associations between the obese category of weight in the general US population will continue to advance our understanding of the condition and allow clinicians, providers, communities, families, and individuals make more informed decisions. This study aims to improve the prediction of the obese category of weight and investigate its relationships with factors, ultimately contributing to healthier lifestyle choices and timely management of obesity.MethodsQuestionnaires that included demographic, dietary, exercise and health information from the US National Health and Nutrition Examination Survey (NHANES 2017–2020) were utilized with BMI 30 or higher defined as obesity. A machine learning model, XGBoost predicted the obese category of weight and Shapely Additive Explanations (SHAP) visualized the various covariates and their feature importance. Model statistics including Area under the receiver operator curve (AUROC), sensitivity, specificity, positive predictive value, negative predictive value and feature properties such as gain, cover, and frequency were measured. SHAP explanations were created for transparent and interpretable analysis.ResultsThere were 6,146 adults (age > 18) that were included in the study with average age 58.39 (SD = 12.94) and 3122 (51%) females. The machine learning model had an Area under the receiver operator curve of 0.8295. The top four covariates include waist circumference (gain = 0.185), GGT (gain = 0.101), platelet count (gain = 0.059), AST (gain = 0.057), weight (gain = 0.049), HDL cholesterol (gain = 0.032), and ferritin (gain = 0.034).ConclusionIn conclusion, the utilization of machine learning models proves to be highly effective in accurately predicting the obese category of weight. By considering various factors such as demographic information, laboratory results, physical examination findings, and lifestyle factors, these models successfully identify crucial risk factors associated with the obese category of weight.

Imagine reaching individuals actively exploring weight loss and GLP-1 medications right now. We provide Digital Audience Targeting Data that pinpoints these consumers throughout their entire journey. From their very first online searches to making crucial decisions, we capture their intent with remarkable precision.

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The North America weight loss supplement market is anticipated to reach a value of X billion by 2033, expanding at a CAGR of 7.6% from 2025 to 2033. The market growth is attributed to the increasing prevalence of obesity and weight-related health concerns, rising disposable income, and growing health consciousness among consumers. Moreover, the availability of a wide range of weight loss supplements, including liquid, powder, softgels, pills, and others, caters to diverse consumer preferences and dietary restrictions. The incorporation of vitamins and minerals, amino acids, and natural extracts/botanicals in these supplements enhances their efficacy and appeal to health-conscious individuals. The market is segmented based on end-user demographics, including under 18 years, 18 to 40 years, 40 to 50 years, and above 50 years. Each segment exhibits unique consumption patterns and preferences influenced by factors such as age-related health concerns, physical activity levels, and dietary habits. The distribution channel segment includes offline channels such as pharmacies, supermarkets, and health food stores, as well as online channels such as e-commerce platforms and company websites. Key players in the market include Glanbia PLC, GlaxoSmithKline PLC, Herbalife Nutrition Ltd., Abbott, Nestle, NutriSport Pharmacal, Inc, Amway Corp., and Ajinomoto Co. Inc., among others. Market Size and Forecast: The North America weight loss supplement market is valued at USD 23.5 billion in 2023 and is projected to grow to USD 35.6 billion by 2030, exhibiting a CAGR of 5.7% during the forecast period. The increasing prevalence of obesity and weight-related disorders, rising awareness about weight management, and growing demand for natural and innovative weight loss solutions drive market growth. Recent developments include: In March 2024, Novo Nordisk disclosed that the U.S. FDA granted further approval for Wegovy. This approval extends its indication to include reducing major cardiovascular events, such as heart attack or stroke, in obese or overweight adults diagnosed with known heart disease. This recommendation is in conjunction with a reduced-calorie diet and increased physical activity. , In January 2024, Abbott, a U.S. introduced its latest offering, the PROTALITY brand. This new line features a high-protein nutrition shake designed to cater to the increasing demographic of adults seeking to manage weight loss while preserving muscle mass and ensuring optimal nutrition. , In January 2024, GNC, a U.S.-based company, unveiled its latest product, GNC Total Lean GlucaTrim, a multi-action weight loss supplement. Engineered with an innovative formula, it aids in weight and inch reduction while preserving lean muscle mass and promoting healthy blood sugar and insulin levels. , In February 2024, Herbalife unveiled its latest innovation, the Herbalife GLP-1 Nutrition Companion, introducing a new series of food and supplement product combinations. These offerings, available in both Classic and Vegan options, are now accessible in the U.S. and Puerto Rico, offering consumers a diverse array of flavors to choose from. .

The North America weight management products market, valued at $8.12 billion in 2025, is projected to experience robust growth, driven by increasing prevalence of obesity and related health issues, rising health consciousness, and growing demand for convenient and effective weight loss solutions. The market's Compound Annual Growth Rate (CAGR) of 4.38% from 2025 to 2033 indicates a steady expansion, with the market size expected to surpass $11 billion by 2033. Key drivers include the proliferation of functional foods and beverages incorporating weight management ingredients, alongside a surge in demand for personalized nutrition plans and telehealth services supporting weight loss journeys. Growth is further fueled by innovative product development, including advanced dietary supplements and meal replacement options catering to diverse dietary needs and preferences. Market segmentation reveals that meal replacements and supplements hold significant market share, while hypermarkets and supermarkets represent the dominant distribution channel. The United States commands the largest regional market share within North America, followed by Canada and Mexico, reflecting higher obesity rates and greater health-conscious consumer base in these regions. However, challenges exist including concerns about the safety and efficacy of certain products, alongside the rise of misinformation and misleading marketing claims, requiring increased regulatory oversight and industry self-regulation to maintain consumer trust. The competitive landscape is characterized by established players like Abbott Laboratories, Nestle S.A., and Herbalife Nutrition, alongside several smaller, specialized companies. These companies are constantly innovating to meet evolving consumer demands, focusing on product diversification, strategic partnerships, and expanding their online presence. Future growth opportunities lie in tapping into the growing demand for personalized and technologically-driven weight management solutions, including wearable fitness trackers integrated with nutrition apps and personalized dietary recommendations based on genetic predisposition. Moreover, focusing on sustainability and ethical sourcing of ingredients will become increasingly important for maintaining brand reputation and attracting environmentally and socially conscious consumers. This necessitates a robust regulatory framework to ensure product safety and transparency, crucial for fostering long-term sustainable growth within this dynamic market. Recent developments include: October 2022: Two pre-workout formulations featuring the carefully formulated paroxetine caffeine metabolite were released by Muscle Tech. The brand made two new products, EUPHORiQand BURN iQ. These products are made available on MuscleTech.com and through online stores like Amazon., July 2022: Herbalife Nutrition company launched its new product that assists in managing weight in the United States. The fat-release product is formulated with litramine. The company claims that the ingredient helps in reducing fat absorbed from food., July 2022: Six Star Pro Nutrition partnered with Sierra Canyon School. As part of the agreement, Six Star Pro Nutrition agreed to provide Sierra Canyon athletes with its Whey Protein Plus.. Notable trends are: Increasing Prevalence of Obesity Across the Region.

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Smart Weight, Body Composition, And BMI Scales Market Size 2025-2029

The smart weight, body composition, and bmi scales market size is forecast to increase by USD 115.7 million, at a CAGR of 5.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the rising health consciousness among individuals. This trend is fueled by the increasing awareness of the importance of maintaining a healthy weight and body composition. Another key factor propelling market expansion is the innovative features offered by smart scales, such as pregnancy mode, which cater to specific user needs. However, the market faces challenges as well. The proliferation of alternative smart wearable devices and applications poses a threat to the market, as consumers have an abundance of choices for tracking their health metrics. Companies in this market must differentiate themselves by offering unique features and integrating seamlessly with other health and fitness platforms to attract and retain customers. To capitalize on opportunities and navigate challenges effectively, market players should focus on continuous innovation, user-centric design, and strategic partnerships.

What will be the Size of the Smart Weight, Body Composition, And BMI Scales Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe smart weight and body composition scale market continues to evolve, driven by advancements in technology and shifting consumer preferences. These devices offer more than just basic weight measurement, providing insights into body composition, muscle mass, body water, bone density, and visceral fat. The market caters to various sectors, including disease prevention, fitness tracking, and health data management. Smart scales integrate user-friendly interfaces and Bluetooth connectivity for seamless data synchronization with mobile apps, allowing for real-time health monitoring and analysis. Marketing strategies focus on personalized feedback, privacy compliance, and user experience (UX) to attract and retain customers. Differentiation comes from features like segmental body composition analysis, dietary analysis, health coaching, and wellness programs. Regulatory compliance, safety standards, and data security are essential considerations, ensuring the protection of sensitive health information. The market's growth potential is significant, with retail sales and online sales contributing to its expansion. Wellness improvement and weight management remain key applications, while pricing strategies and product differentiation influence market penetration. Manufacturing costs, distribution channels, and software updates impact the competitive landscape. As technology advances, smart scales continue to offer more comprehensive health assessments, integrating with smartphones, wearables, and cloud storage for enhanced functionality and convenience.

How is this Smart Weight, Body Composition, And BMI Scales Industry segmented?

The smart weight, body composition, and bmi scales industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Distribution ChannelOfflineOnlinePriceLess than USD100More than USD100TypeWi-FiBluetoothApplicationHouseholdGymOthersGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyRussiaAPACChinaJapanSouth KoreaRest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period.The market for smart weight, body composition, and BMI scales has seen substantial growth in recent years, with both online and offline channels experiencing significant demand. Online sales enable consumers to purchase these advanced scales from the comfort of their homes, while offline retail outlets provide an opportunity for customers to physically assess the product before making a purchase. Offline channels, including specialty health stores, department stores, hypermarkets, and fitness equipment stores, are particularly effective in reaching a broad consumer base. These retailers often have dedicated sections for health and wellness products, showcasing smart scales alongside other related items. User interface and experience, marketing strategies, data synchronization, Bluetooth connectivity, and sensor technology are integral features of these devices, catering to consumers seeking health risk assessments, muscle mass measurement, segmental body composition analysis, and health data management. Wellness programs, health coaching, body water monitoring, smartphone integration, and personalized feedback are additional features that attract consumers. Regulatory compliance, privacy compl

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Average family size is derived by dividing the number of related people in households by the number of family households..Housing unit weight is used throughout this table (only exception is the average household and family size cells)..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Orlistat Market Outlook

The Orlistat market size is projected to experience significant growth, with its global valuation estimated at USD 2.5 billion in 2023, and expected to reach approximately USD 4.8 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 7.5% during the forecast period. This growth is primarily driven by the increasing prevalence of obesity and related health concerns, which have heightened the demand for effective pharmaceutical interventions. As a lipase inhibitor, Orlistat is recognized for its efficacy in preventing the absorption of dietary fats, making it a pivotal component in obesity treatment regimens globally.

One of the primary growth factors for the Orlistat market is the rising prevalence of obesity across the globe. The World Health Organization (WHO) has highlighted alarming statistics regarding obesity rates, emphasizing the urgent need for effective treatment options. With a growing number of individuals classified as overweight or obese, there is a corresponding increase in demand for weight management products and pharmaceuticals like Orlistat. This demand is further bolstered by public health initiatives and increased awareness regarding the health complications associated with obesity, such as diabetes, cardiovascular diseases, and various forms of cancer. As societies become more health-conscious, the reliance on therapeutic solutions like Orlistat is expected to grow substantially.

The aging population is another significant contributor to market growth. As people age, metabolic rates often decrease, leading to weight gain and increased difficulty in maintaining a healthy weight. This demographic trend is particularly prominent in developed regions such as North America and Europe, where the aging population presents a substantial customer base for weight-loss pharmaceuticals. Furthermore, older adults are more likely to experience weight-related health issues, thus necessitating effective treatment options. Orlistat, known for its ability to aid in weight management without systemic absorption, presents an appealing solution for this demographic, further fueling market expansion.

Technological advancements and research in the pharmaceutical sector have also played a crucial role in the increasing popularity of Orlistat. Manufacturers are continually investing in research and development to enhance the efficacy and safety profile of Orlistat formulations. These advancements have led to the development of more accessible and user-friendly products, such as over-the-counter (OTC) variants, which cater to a broader audience. The availability of OTC Orlistat has democratized access to weight management solutions, allowing individuals who may not have access to healthcare providers to initiate treatment independently. This increased accessibility is a significant driver of market growth, as more consumers are empowered to take control of their weight management journey.

Regionally, the Orlistat market is witnessing diverse growth patterns, with North America leading due to its advanced healthcare infrastructure and high prevalence of obesity. The United States, in particular, has been a significant contributor, given its large obese population and substantial healthcare spending. In contrast, the Asia Pacific region is projected to exhibit the fastest growth during the forecast period, driven by increasing urbanization, changing dietary habits, and rising disposable incomes. The growing awareness about obesity and weight management in emerging economies like China and India is expected to create substantial market opportunities. Europe follows closely, benefiting from a well-established healthcare system and increasing health awareness among its populace.

Product Type Analysis

The Orlistat market can be segmented based on product type into prescription Orlistat and over-the-counter (OTC) Orlistat. Prescription Orlistat formulations are primarily targeted towards individuals with severe obesity conditions or those requiring medical supervision for weight management. These formulations often come with specific dosage recommendations and are prescribed as part of a comprehensive weight treatment plan that includes diet and exercise. The prescription segment has traditionally held a significant share of the market due to the clinical support and monitoring that come with it, ensuring patient safety and medication efficacy.

Over-the-counter Orlistat, on the other hand, has witnessed increasing popularity due to its accessibility and convenience. With the growing trend of self-medication and the availability of

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Average family size is derived by dividing the number of related people in households by the number of family households..Housing unit weight is used throughout this table (only exception is the average household and family size cells)..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Average family size is derived by dividing the number of related people in households by the number of family households..Housing unit weight is used throughout this table (only exception is the average household and family size cells)..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The global digital portion control scale market is experiencing robust growth, driven by increasing health consciousness among consumers and the rising prevalence of diet-related diseases. The market, estimated at $500 million in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $900 million by 2033. Key drivers include the growing demand for precise portion control in weight management, increased adoption of smart kitchen technologies, and the rising popularity of personalized nutrition plans. The residential segment currently holds a significant market share, but the commercial segment, encompassing restaurants, hospitals, and food service businesses, is expected to witness substantial growth owing to increasing efficiency and cost-saving benefits. The market is segmented by weight capacity (Below 5 Kg, 5-10 Kg, Above 10 Kg) and application (Residential, Commercial). Major players like Globe, Taylor USA, Rubbermaid, CDN, BIOS Medical, REED, Winco, and DETECTO are competing through product innovation and strategic partnerships. Geographic distribution sees North America and Europe as leading regions, however, Asia-Pacific is showing considerable growth potential due to rising disposable incomes and increasing awareness of healthy lifestyles. Challenges include the relatively high cost of digital scales compared to traditional ones, and the need for continuous technological advancements to maintain market competitiveness. The market's future growth will be influenced by several factors. Advancements in technology such as integration with health and fitness apps, incorporation of features like food database connectivity, and the development of more user-friendly interfaces will be crucial for expanding market penetration. Furthermore, increased consumer education regarding the benefits of portion control and the growing demand for personalized dietary solutions will continue to fuel market expansion. The ongoing competition among key players is likely to result in pricing pressure and an intensified focus on innovation and differentiation, driving overall market dynamism. The rise of online retail channels and e-commerce platforms will also create new opportunities for market expansion and increased consumer reach.