41 datasets found
  1. Adult obesity rates in the U.S. by race/ethnicity 2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Adult obesity rates in the U.S. by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207436/overweight-and-obesity-rates-for-adults-by-ethnicity/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

  2. Overweight high school students in the U.S. in 2016-2017, by gender and...

    • statista.com
    Updated Aug 25, 2020
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    Statista (2020). Overweight high school students in the U.S. in 2016-2017, by gender and ethnicity [Dataset]. https://www.statista.com/statistics/243975/obese-high-school-students-in-the-us-by-gender-and-ethnicity/
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    Dataset updated
    Aug 25, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2016 - Dec 2017
    Area covered
    United States
    Description

    About a fifth of Hispanic high school students in the United States were overweight between 2016 and 2017, making it the ethnic group with the highest percentage of overweight high school students. Female obesity rates were considerably higher than those of male students for the black and Hispanic groups during the measured period.

    Overweight and obese U.S. adults

    U.S. overweight rates in adults differed slightly from those of U.S. high school students in 2017. That year, the African American population had the highest overweight and obesity rates of any race or ethnicity, closely followed by American Indians/Alaska Natives and Hispanics. Over 73 percent of all African American adults in the country were either overweight or obese. In 2018, the highest rates of obesity among African Americans could be found in states, such as Mississippi, Arkansas, and Tennessee.

    Overweight youth worldwide

    Many children and adolescents in other countries, such as New Zealand, Greece, and Italy, also struggle with overweight and obesity. In New Zealand, for example, over forty percent of boys and girls, up to age 19, were overweight or obese in 2016. In the same year, less than ten percent of Indian children and teenagers were overweight.

  3. Adult obesity rates in Texas by race/ethnicity 2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Adult obesity rates in Texas by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207426/overweight-and-obesity-rates-for-adults-in-texas-by-ethnicity/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Texas, United States
    Description

    In 2023, around ** percent of all adult Hispanics in Texas were obese. In the United States, processed foods are often cheaper than fresh foods, which can impact those with lower income and lead to more weight gain. This statistic depicts the obesity rates for adults in Texas in 2023, by race/ethnicity.

  4. f

    Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Christy L. Avery; Katelyn M. Holliday; Sujatro Chakladar; Joseph C. Engeda; Shakia T. Hardy; Jared P. Reis; Pamela J. Schreiner; Christina M. Shay; Martha L. Daviglus; Gerardo Heiss; Dan Yu Lin; Donglin Zeng (2023). Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic U.S. Populations [Dataset]. http://doi.org/10.1371/journal.pone.0158025
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Christy L. Avery; Katelyn M. Holliday; Sujatro Chakladar; Joseph C. Engeda; Shakia T. Hardy; Jared P. Reis; Pamela J. Schreiner; Christina M. Shay; Martha L. Daviglus; Gerardo Heiss; Dan Yu Lin; Donglin Zeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    BackgroundFew studies have examined weight transitions in contemporary multi-ethnic populations spanning early childhood through adulthood despite the ability of such research to inform obesity prevention, control, and disparities reduction.Methods and ResultsWe characterized the ages at which African American, Caucasian, and Mexican American populations transitioned to overweight and obesity using contemporary and nationally representative cross-sectional National Health and Nutrition Examination Survey data (n = 21,220; aged 2–80 years). Age-, sex-, and race/ethnic-specific one-year net transition probabilities between body mass index-classified normal weight, overweight, and obesity were estimated using calibrated and validated Markov-type models that accommodated complex sampling. At age two, the obesity prevalence ranged from 7.3% in Caucasian males to 16.1% in Mexican American males. For all populations, estimated one-year overweight to obesity net transition probabilities peaked at age two and were highest for Mexican American males and African American females, for whom a net 12.3% (95% CI: 7.6%-17.0%) and 11.9% (95% CI: 8.5%-15.3%) of the overweight populations transitioned to obesity by age three, respectively. However, extrapolation to the 2010 U.S. population demonstrated that Mexican American males were the only population for whom net increases in obesity peaked during early childhood; age-specific net increases in obesity were approximately constant through the second decade of life for African Americans and Mexican American females and peaked at age 20 for Caucasians.ConclusionsAfrican American and Mexican American populations shoulder elevated rates of many obesity-associated chronic diseases and disparities in early transitions to obesity could further increase these inequalities if left unaddressed.

  5. Percentage of obese U.S. adults by state 2023

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). Percentage of obese U.S. adults by state 2023 [Dataset]. https://www.statista.com/statistics/378988/us-obesity-rate-by-state/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

  6. Obese high school students in the U.S. in 2016-2017, by gender and ethnicity...

    • statista.com
    Updated Aug 25, 2020
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    Statista (2020). Obese high school students in the U.S. in 2016-2017, by gender and ethnicity [Dataset]. https://www.statista.com/statistics/243973/obese-high-school-students-in-the-us-by-gender-and-ethnicity/
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    Dataset updated
    Aug 25, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2016 - Dec 2017
    Area covered
    United States
    Description

    Roughly 15 percent of U.S. high school students from grades 9 to 12, across all genders and ethnicities, were obese between 2016 and 2017. On average, African and Hispanic students struggled more with obesity than white students. Over 22 percent of male students with a Hispanic background were reported to be obese.

    Prevalence among adults

    Obesity is a growing problem among all age groups in the United States. Among American adults aged 20 and over, obesity rates have risen considerably since 1997. By 2018, roughly 12 percent more adults were obese, compared to 21 years earlier.

    Fast food industry

    Unhealthy ingredients, larger portions, and lower cost are some of the reasons why fast food easily leads to obesity in the United States. Between 2004 and 2018, U.S. consumer spending in quick-service restaurants has increased by approximately 37.5 percent. Examples of leading restaurant chains within this sector, in terms of company value, are McDonald’s, KFC, and Domino’s Pizza.

  7. CDC Data: Nutrition, Physical Activity, & Obesity

    • kaggle.com
    Updated Mar 28, 2018
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    Suzanne (2018). CDC Data: Nutrition, Physical Activity, & Obesity [Dataset]. https://www.kaggle.com/spittman1248/cdc-data-nutrition-physical-activity-obesity/activity
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 28, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Suzanne
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. I was particularly curious on whether socioeconomic status has an impact on obesity. In my analysis, I compare the obesity rate in each state, and then perform a linear regression on the obesity rate for each educational status and the income bracket.

  8. Adult obesity rates in Oklahoma by race/ethnicity 2023

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Adult obesity rates in Oklahoma by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207418/overweight-and-obesity-rates-for-adults-in-oklahoma-by-ethnicity/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Oklahoma, United States
    Description

    In 2023, around 43 percent of all adult Hispanics in Oklahoma were obese. Certain environments in the United States may encourage an unhealthy lifestyle that leads to obesity. This statistic depicts the obesity rates for adults in Oklahoma in 2023, by race/ethnicity.

  9. s

    Citation Trends for "Differences in Obesity Prevalence by Demographics and...

    • shibatadb.com
    Updated Jun 19, 2018
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    Yubetsu (2018). Citation Trends for "Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016" [Dataset]. https://www.shibatadb.com/article/8gsuabfX
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    Dataset updated
    Jun 19, 2018
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2018 - 2025
    Area covered
    United States
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016".

  10. Obesity - prevalence in selected countries by gender 2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Obesity - prevalence in selected countries by gender 2022 [Dataset]. https://www.statista.com/statistics/236823/prevalence-of-obesity-among-adults-by-country/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    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.

  11. Youth obesity rates in the U.S. by ethnicity 2015-2016

    • statista.com
    Updated Oct 4, 2023
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    Statista (2023). Youth obesity rates in the U.S. by ethnicity 2015-2016 [Dataset]. https://www.statista.com/statistics/505990/youth-obesity-rates-in-the-us-by-ethnicity/
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    Dataset updated
    Oct 4, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015 - 2016
    Area covered
    United States
    Description

    This statistic depicts the obesity rate of children in the United States in 2015-2016 by ethnicity. In that time, 25.8 percent of Latino children in the United States were obese. Overweight and obesity can increase risk of developing many chronic diseases such as cardiovascular disease and diabetes.

  12. f

    Data_Sheet_1_Differential Impact of COVID-19 Risk Factors on Ethnicities in...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
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    Prashant Athavale; Vijay Kumar; Jeremy Clark; Sumona Mondal; Shantanu Sur (2023). Data_Sheet_1_Differential Impact of COVID-19 Risk Factors on Ethnicities in the United States.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.743003.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Prashant Athavale; Vijay Kumar; Jeremy Clark; Sumona Mondal; Shantanu Sur
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The coronavirus disease (COVID-19) has revealed existing health inequalities in racial and ethnic minority groups in the US. This work investigates and quantifies the non-uniform effects of geographical location and other known risk factors on various ethnic groups during the COVID-19 pandemic at a national level. To quantify the geographical impact on various ethnic groups, we grouped all the states of the US. into four different regions (Northeast, Midwest, South, and West) and considered Non-Hispanic White (NHW), Non-Hispanic Black (NHB), Hispanic, Non-Hispanic Asian (NHA) as ethnic groups of our interest. Our analysis showed that infection and mortality among NHB and Hispanics are considerably higher than NHW. In particular, the COVID-19 infection rate in the Hispanic community was significantly higher than their population share, a phenomenon we observed across all regions in the US but is most prominent in the West. To gauge the differential impact of comorbidities on different ethnicities, we performed cross-sectional regression analyses of statewide data for COVID-19 infection and mortality for each ethnic group using advanced age, poverty, obesity, hypertension, cardiovascular disease, and diabetes as risk factors. After removing the risk factors causing multicollinearity, poverty emerged as one of the independent risk factors in explaining mortality rates in NHW, NHB, and Hispanic communities. Moreover, for NHW and NHB groups, we found that obesity encapsulated the effect of several other comorbidities such as advanced age, hypertension, and cardiovascular disease. At the same time, advanced age was the most robust predictor of mortality in the Hispanic group. Our study quantifies the unique impact of various risk factors on different ethnic groups, explaining the ethnicity-specific differences observed in the COVID-19 pandemic. The findings could provide insight into focused public health strategies and interventions.

  13. Social/Organizational, Diet, physical activity, and Obesity variables and...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Rachel G. Tabak; J. Aaron Hipp; Christine M. Marx; Ross C. Brownson (2023). Social/Organizational, Diet, physical activity, and Obesity variables and demographics %† (n), Missouri, USA n = 1,338. [Dataset]. http://doi.org/10.1371/journal.pone.0125424.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rachel G. Tabak; J. Aaron Hipp; Christine M. Marx; Ross C. Brownson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Missouri, United States
    Description

    †% within demographic characteristic‡In the last 12 months, how often were you concerned about having enough money to eat nutritious meals? Would you say…Social/Organizational, Diet, physical activity, and Obesity variables and demographics %† (n), Missouri, USA n = 1,338.

  14. U.S. rate of new obesity-associated cancers in 2022, by race and ethnicity

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). U.S. rate of new obesity-associated cancers in 2022, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1319409/rate-obesity-associated-cancers-by-race-ethnicity/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the highest incidence of obesity-associated cancer in the United States was among Black individuals, with a rate of 184 per 100,000 people. This graph shows the rate of obesity-related cancers per 100,000 people in the United States in 2022, by race and ethnicity.

  15. Characteristics of age, anthropometric traits and ALT levels by...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Jason H. Karnes; Amit Arora; Jianglin Feng; Heidi E. Steiner; Lina Sulieman; Eric Boerwinkle; Cheryl Clark; Mine Cicek; Elizabeth Cohn; Kelly Gebo; Roxana Loperena-Cortes; Lucila Ohno-Machado; Kelsey Mayo; Steve Mockrin; Andrea Ramirez; Sheri Schully; Yann C. Klimentidis (2023). Characteristics of age, anthropometric traits and ALT levels by race/ethnicity and gendera. [Dataset]. http://doi.org/10.1371/journal.pone.0255583.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jason H. Karnes; Amit Arora; Jianglin Feng; Heidi E. Steiner; Lina Sulieman; Eric Boerwinkle; Cheryl Clark; Mine Cicek; Elizabeth Cohn; Kelly Gebo; Roxana Loperena-Cortes; Lucila Ohno-Machado; Kelsey Mayo; Steve Mockrin; Andrea Ramirez; Sheri Schully; Yann C. Klimentidis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of age, anthropometric traits and ALT levels by race/ethnicity and gendera.

  16. f

    Demographic variables.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2024
    + more versions
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    Alexander A. Huang; Samuel Y. Huang (2024). Demographic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0304509.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Alexander A. Huang; Samuel Y. Huang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  17. Prevalence of obesity among Latinos in the U.S. by state 2023

    • statista.com
    Updated Sep 26, 2024
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    Statista (2024). Prevalence of obesity among Latinos in the U.S. by state 2023 [Dataset]. https://www.statista.com/statistics/506040/share-of-obesity-among-latinos-in-the-us/
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    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021 - 2023
    Area covered
    United States
    Description

    In 2021-2023, the obesity rate among Latinos in Alabama amounted to around 36 percent, while Michigan reported a rate of 39 percent. This statistic depicts the obesity rate among Latinos in the United States in 2021-2023, sorted by state.

  18. f

    Key socio-demographic characteristics; prevalence rate in the US population,...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Michele Cecchini (2023). Key socio-demographic characteristics; prevalence rate in the US population, 2000–2025. [Dataset]. http://doi.org/10.1371/journal.pone.0206703.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michele Cecchini
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Key socio-demographic characteristics; prevalence rate in the US population, 2000–2025.

  19. Adult obesity rates in Puerto Rico by race/ethnicity 2023

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Adult obesity rates in Puerto Rico by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207438/overweight-and-obesity-rates-for-adults-in-puerto-rico-by-ethnicity/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Puerto Rico, United States
    Description

    In 2023, around 36 percent of Hispanic adults in Puerto Rico were considered obese. Being obese can increase one's chances of developing a number of diseases, such as type 2 diabetes and heart disease. Obesity The mean target body mass index among all people is said to be around 18.5 to 24.9 with anything over this number being considered overweight or obese. Several diseases may occur as a result of being overweight or obese. Diabetes, cardiovascular disease, and stroke are some of the common diseases that are caused by or worsened by weight gain and obesity. The United States has higher rates of obesity among both men and women compared to other OECD countries. Obesity-related Hispanic health Diabetes is a prevalent health issue among the Hispanic community. Diabetes is among the top 10 leading causes of death among Hispanics in the United States. Hispanics in the U.S. are more likely to die from diabetes than white U.S. residents.

  20. Adult obesity rates in Georgia by race/ethnicity 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Adult obesity rates in Georgia by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207378/overweight-and-obesity-rates-for-adults-in-georgia-by-ethnicity/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, some ** percent of all Black adults in Georgia were obese. Childhood obesity in the United States is also on the rise, with affected children more likely to remain obese as adults. This statistic depicts the obesity rates for adults in Georgia in 2023, by race/ethnicity.

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Statista (2025). Adult obesity rates in the U.S. by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207436/overweight-and-obesity-rates-for-adults-by-ethnicity/
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Adult obesity rates in the U.S. by race/ethnicity 2023

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

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