13 datasets found
  1. U

    United States US: Diabetes Prevalence: % of Population Aged 20-79

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). United States US: Diabetes Prevalence: % of Population Aged 20-79 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-diabetes-prevalence--of-population-aged-2079
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    Dataset updated
    Mar 15, 2009
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2017
    Area covered
    United States
    Description

    United States US: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 10.790 % in 2017. United States US: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 10.790 % from Dec 2017 (Median) to 2017, with 1 observations. United States US: Diabetes Prevalence: % of Population Aged 20-79 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;

  2. U.S. Adults Susceptible to Severe Covid-19

    • kaggle.com
    zip
    Updated Nov 7, 2020
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    Marília Prata (2020). U.S. Adults Susceptible to Severe Covid-19 [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloads22365jpeg
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    zip(249873 bytes)Available download formats
    Dataset updated
    Nov 7, 2020
    Authors
    Marília Prata
    Description

    Context

    The most prevalent condition in the study is obesity, affecting just over 30 percent of Americans and it followed by diabetes which has a national prevalence of 11.2 percent. Chronic obstructive pulmonary disease (COPD) and cardiovascular disease have a prevalence of just under 7 percent while chronic kidney disease is at approximately 3 percent. The CDC stated that "while the estimated number of persons with any underlying medical condition was higher in population-dense metropolitan areas, overall prevalence was higher in rural nonmetropolitan areas". It also added that "the counties with the highest prevalences of any condition were concentrated in Southeastern states, particularly in Alabama, Arkansas, Kentucky, Louisiana, Mississippi, Tennessee, and West Virginia, as well as some counties in Oklahoma, South Dakota, Texas, and northern Michigan, among others".

    https://www.statista.com/chart/22365/prevalence-of-underlying-conditions-in-us-adults/

    Content

    Several studies have found that the risk of contracting severe Covid-19 that can result in hospitalization, ICU admission, mechanical ventilation or death increases with age as well as the presence of underlying health conditions. In the United States, the Centers for Disease Control and Prevention (CDC) recently released a study showing that a considerable share of the American population has some form of underlying health issue, placing them at risk from severe forms of the virus. The study's findings are based on the 2018 Behavioural Risk Factor Surveillance System (BRFSS) and U.S. Census population data and it determined that 40.7 percent of U.S. adults (aged 18 and over) have a pre-existing health condition.

    Acknowledgements

    Niall McCarthy, Data Journalist https://www.statista.com/chart/22365/prevalence-of-underlying-conditions-in-us-adults/

    Inspiration

    Covid-19

  3. N

    North America Self-monitoring Blood Glucose Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 26, 2025
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    Data Insights Market (2025). North America Self-monitoring Blood Glucose Market Report [Dataset]. https://www.datainsightsmarket.com/reports/north-america-self-monitoring-blood-glucose-market-8037
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    North America
    Variables measured
    Market Size
    Description

    The size of the North America Self-monitoring Blood Glucose Market was valued at USD 8.10 Million in 2023 and is projected to reach USD 12.99 Million by 2032, with an expected CAGR of 6.98% during the forecast period. Recent developments include: May 2023: LifeScan announced positive data from a study of real-world evidence supporting its Bluetooth-connected blood glucose meter. Evidence from more than 55,000 people with diabetes demonstrated sustained improvements in readings in range. The analysis focuses on changes over 180 days. LifeScan published results in the peer-reviewed journal Diabetes Therapy. The company’s OneTouch Bluetooth-connected blood glucose meter and mobile diabetes app provide simplicity, accuracy, and trust., January 2023: LifeScan announced that the peer-reviewed Journal of Diabetes Science and Technology published Improved Glycemic Control Using a Bluetooth-Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence from Over 144,000 People With Diabetes, detailing results from a retrospective analysis of real-world data from over 144,000 people with diabetes is one of the largest combined blood glucose meter and mobile diabetes app datasets ever published.. Key drivers for this market are: Rising Prevalence of Cancer Worldwide, Technological Advancements in Diagnostic Testing; Increasing Demand for Point-of-care Treatment. Potential restraints include: High Cost of Molecular Diagnostic Tests, Lack of Skilled Workforce and Stringent Regulatory Framework. Notable trends are: Blood Glucose Test Strips Held the Largest Market Share in Current Year.

  4. N

    North America Self-monitoring Blood Glucose Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 27, 2025
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    Market Report Analytics (2025). North America Self-monitoring Blood Glucose Market Report [Dataset]. https://www.marketreportanalytics.com/reports/north-america-self-monitoring-blood-glucose-market-94494
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, North America
    Variables measured
    Market Size
    Description

    The North American self-monitoring blood glucose (SMBG) market, valued at $8.10 billion in 2025, is projected to experience robust growth, driven by the increasing prevalence of diabetes and the rising geriatric population. The market's Compound Annual Growth Rate (CAGR) of 6.98% from 2019 to 2025 indicates a consistent upward trend. Key drivers include advancements in SMBG device technology, such as the development of more accurate, user-friendly, and cost-effective glucometers and lancets. Furthermore, increased awareness of diabetes management and the growing adoption of remote patient monitoring contribute significantly to market expansion. While data for individual countries within North America (United States, Canada, and Rest of North America) are not provided, we can infer that the United States likely holds the largest market share given its substantial population and higher prevalence of diabetes compared to Canada. The Rest of North America segment will likely exhibit moderate growth, reflecting the combined market dynamics of smaller countries in the region. Market restraints may include the potential for reimbursement challenges and the emergence of alternative glucose monitoring technologies, such as continuous glucose monitors (CGMs). However, the overall market outlook remains positive, fueled by the persistent need for effective diabetes management. Major players like Abbott, Roche, and LifeScan continue to innovate and compete, further shaping the market landscape. The forecast period (2025-2033) promises continued growth driven by technological advancements and an aging population requiring consistent blood glucose monitoring. The competitive landscape is characterized by established players like Abbott, Roche, and LifeScan, along with other significant contributors like Arkray, Ascensia, and Agamatrix. These companies are continuously striving for innovation to maintain their market share. This involves introducing technologically advanced devices, improving user experience, and developing more comprehensive diabetes management solutions. The increasing demand for accurate, convenient, and affordable SMBG devices, coupled with the growing awareness of diabetes self-management, will drive further market expansion. The incorporation of data analytics and connectivity features in SMBG devices also plays a crucial role in fostering better diabetes management and patient outcomes, thereby bolstering the market's growth trajectory. The focus on improving patient outcomes and reducing healthcare costs will likely shape future market developments, attracting further investments and technological advancements within the sector. Recent developments include: May 2023: LifeScan announced positive data from a study of real-world evidence supporting its Bluetooth-connected blood glucose meter. Evidence from more than 55,000 people with diabetes demonstrated sustained improvements in readings in range. The analysis focuses on changes over 180 days. LifeScan published results in the peer-reviewed journal Diabetes Therapy. The company’s OneTouch Bluetooth-connected blood glucose meter and mobile diabetes app provide simplicity, accuracy, and trust., January 2023: LifeScan announced that the peer-reviewed Journal of Diabetes Science and Technology published Improved Glycemic Control Using a Bluetooth-Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence from Over 144,000 People With Diabetes, detailing results from a retrospective analysis of real-world data from over 144,000 people with diabetes is one of the largest combined blood glucose meter and mobile diabetes app datasets ever published.. Notable trends are: Blood Glucose Test Strips Held the Largest Market Share in Current Year.

  5. Population share with overweight in the United States 2014-2029

    • statista.com
    Updated Nov 6, 2024
    + more versions
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    Statista Research Department (2024). Population share with overweight in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/8951/chronic-disease-prevention-in-the-us/
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    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The share of the population with overweight in the United States was forecast to continuously increase between 2024 and 2029 by in total 1.6 percentage points. After the fifteenth consecutive increasing year, the overweight population share is estimated to reach 77.43 percent and therefore a new peak in 2029. Notably, the share of the population with overweight of was continuously increasing over the past years.Overweight is defined as a body mass index (BMI) of more than 25.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the share of the population with overweight in countries like Canada and Mexico.

  6. f

    Type 1 diabetes incidence rates in individuals aged 0–14 and 0–19 years by...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 21, 2023
    + more versions
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    Apoorva Gomber; Zachary J. Ward; Carlo Ross; Maira Owais; Carol Mita; Jennifer M. Yeh; Ché L. Reddy; Rifat Atun (2023). Type 1 diabetes incidence rates in individuals aged 0–14 and 0–19 years by WHO regions and income. [Dataset]. http://doi.org/10.1371/journal.pgph.0001099.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Apoorva Gomber; Zachary J. Ward; Carlo Ross; Maira Owais; Carol Mita; Jennifer M. Yeh; Ché L. Reddy; Rifat Atun
    License

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

    Description

    *(Age-standardised incidence rates per 100,000 individuals per year with 95% confidence intervals. † For cells labeled as NA, 95% CIs could not be estimated as there was only 1 data point).

  7. Global Sugar Consumption Trends (1960–2023)

    • kaggle.com
    zip
    Updated Mar 25, 2025
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    Akshay Kumar (2025). Global Sugar Consumption Trends (1960–2023) [Dataset]. https://www.kaggle.com/datasets/ak0212/global-sugar-consumption-trends-19602023
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    zip(1658653 bytes)Available download formats
    Dataset updated
    Mar 25, 2025
    Authors
    Akshay Kumar
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset provides a comprehensive exploration of global sugar consumption patterns over six decades, synthesizing economic, agricultural, and public health data to uncover the drivers and consequences of rising sugar intake. Spanning 1960–2023, country-year entries for 200+ nations, with 25+ variables such as:

    Economic Indicators: GDP per capita, urbanization rates, and retail sugar prices.

    Agricultural Data: Sugarcane/beet production yields, climate suitability, and trade dynamics (imports/exports).

    Health Metrics: Diabetes prevalence, obesity rates, and daily sugar intake.

    Policy Interventions: Sugar taxes, subsidies, and national education campaigns.

    Key Features: Temporal & Geographic Depth: Track regional shifts (e.g., Southeast Asia’s sugarcane boom, North America’s HFCS dominance) and long-term trends (e.g., 300% rise in per capita intake in developing nations post-2000).

    Health-Economic Correlations: Model relationships between sugar consumption, GDP growth, and non-communicable diseases (e.g., +1kg/year sugar intake → +0.5% obesity rate).

    Policy Impact Analysis: Evaluate the effectiveness of interventions like sugar taxes (5–15% consumption decline in adopters) or subsidies.

    Synthetic Realism: Data mimics real-world sources (e.g., FAO, WHO) with logical constraints (e.g., Total_Sugar_Consumption = Population × Per_Capita).

    Applications: Public Health: Identify nations at risk for diabetes/obesity epidemics.

    Economic Policy: Analyze trade dependencies or subsidy impacts.

    Agricultural Planning: Optimize crop yields based on climate trends.

    Machine Learning: Predict future consumption or simulate policy outcomes.

  8. Transportation to Work

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Nov 7, 2025
    + more versions
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    California Department of Public Health (2025). Transportation to Work [Dataset]. https://data.chhs.ca.gov/dataset/transportation-to-work-2000-2006-2010
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    xlsx, xlsx(22751089), pdf, zipAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

  9. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  10. Plot of admixture proportions by superpopulation.

    • plos.figshare.com
    bin
    Updated Aug 28, 2023
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    Amy D. Stockwell; Michael C. Chang; Anubha Mahajan; William Forrest; Neha Anegondi; Rion K. Pendergrass; Suresh Selvaraj; Jens Reeder; Eric Wei; Victor A. Iglesias; Natalie M. Creps; Laura Macri; Andrea N. Neeranjan; Marcel P. van der Brug; Suzie J. Scales; Mark I. McCarthy; Brian L. Yaspan (2023). Plot of admixture proportions by superpopulation. [Dataset]. http://doi.org/10.1371/journal.pgen.1010609.s001
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    binAvailable download formats
    Dataset updated
    Aug 28, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Amy D. Stockwell; Michael C. Chang; Anubha Mahajan; William Forrest; Neha Anegondi; Rion K. Pendergrass; Suresh Selvaraj; Jens Reeder; Eric Wei; Victor A. Iglesias; Natalie M. Creps; Laura Macri; Andrea N. Neeranjan; Marcel P. van der Brug; Suzie J. Scales; Mark I. McCarthy; Brian L. Yaspan
    License

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

    Description
    • AFR = African descent; AMR = Admixed American descent; EAS = East Asian descent; EUR = European descent. ** Red = proportion of AFR ancestry; Blue = proportion of AMR ancestry; Orange = proportion of EAS ancestry; Grey = proportion of EUR ancestry; Yellow = proportion of SAS ancestry. (XLSX)
  11. The proportion of dogs with juvenile diabetes mellitus in breeds represented...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Liang N. Y. Qiu; Stephen V. Cai; Dennis Chan; Rebecka S. Hess (2023). The proportion of dogs with juvenile diabetes mellitus in breeds represented by >10 dogs with mature onset diabetes mellitus. [Dataset]. http://doi.org/10.1371/journal.pone.0272297.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Liang N. Y. Qiu; Stephen V. Cai; Dennis Chan; Rebecka S. Hess
    License

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

    Description

    The proportion of dogs with juvenile diabetes mellitus in breeds represented by >10 dogs with mature onset diabetes mellitus.

  12. Association between different combinations of carbohydrate and protein...

    • figshare.com
    xls
    Updated Jun 2, 2023
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    Dale S. Hardy; Jane T. Garvin; Tesfaye B. Mersha (2023). Association between different combinations of carbohydrate and protein intake, and physical activity alone on type 2 diabetes. [Dataset]. http://doi.org/10.1371/journal.pone.0285827.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dale S. Hardy; Jane T. Garvin; Tesfaye B. Mersha
    License

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

    Description

    Association between different combinations of carbohydrate and protein intake, and physical activity alone on type 2 diabetes.

  13. Causal mediation of PRS with carbohydrate and protein intake with type 2...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Dale S. Hardy; Jane T. Garvin; Tesfaye B. Mersha (2023). Causal mediation of PRS with carbohydrate and protein intake with type 2 diabetes. [Dataset]. http://doi.org/10.1371/journal.pone.0285827.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dale S. Hardy; Jane T. Garvin; Tesfaye B. Mersha
    License

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

    Description

    Causal mediation of PRS with carbohydrate and protein intake with type 2 diabetes.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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CEICdata.com (2009). United States US: Diabetes Prevalence: % of Population Aged 20-79 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-diabetes-prevalence--of-population-aged-2079

United States US: Diabetes Prevalence: % of Population Aged 20-79

Explore at:
Dataset updated
Mar 15, 2009
Dataset provided by
CEICdata.com
License

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

Time period covered
Dec 1, 2017
Area covered
United States
Description

United States US: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 10.790 % in 2017. United States US: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 10.790 % from Dec 2017 (Median) to 2017, with 1 observations. United States US: Diabetes Prevalence: % of Population Aged 20-79 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;

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