Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined as the propor-tion of people within a county who had previously been diagnosed with diabetes (high fasting plasma glu-cose 126 mg/dL, hemoglobin A1c (HbA1c) of 6.5%, or diabetes diagnosis) but do not currently have high fasting plasma glucose or HbA1c for the period 2004-2012. DC prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or HbA1C levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (16). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or HbA1C status for each BRFSS respondent (16). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict county-level prevalence of diabetes-related outcomes, including DC (16). The EQI was constructed for 2006-2010 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that _domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each _domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and _domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). Results are reported as prevalence rate differences (PRD) with 95% confidence intervals (CIs) comparing the highest quintile/worst environmental quality to the lowest quintile/best environmental quality expo-sure metrics. PRDs are representative of the entire period of interest, 2004-2012. Due to availability of DC data and covariate data, not all counties were captured, however, the majority, 3134 of 3142 were utilized in the analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jagai, J., A. Krajewski, K. Price, D. Lobdell, and R. Sargis. Diabetes control is associated with environmental quality in the USA. Endocrine Connections. BioScientifica Ltd., Bristol, UK, 10(9): 1018-1026, (2021).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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;
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
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. Self-monitoring blood glucose is a relevant tool for patients with diabetes. Its process includes the regular testing of blood sugar to gauge how the body reacts to food, medicine, or physical activity. It helps increase peoples' awareness of their own choices and helps them avoid some complications that may come as a result of diabetes. The North American SMBG market is driven by the increasing incidences of diabetes, especially Type 2. The size and risk profile of the population are critical factors in North America. The region suffers from a rather large population that is susceptible to developing the disease primarily because of obesity, sedentary lifestyles, and aging. With the growth in awareness of diabetes, and with preventive and controlling features forming an important aspect of healthcare systems, the SMBG device and supplies market will continue to grow. The advances in technology, especially the available kinds of continuous glucose monitors, give market expansion way to more convenient and accurate blood sugar tracking. 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.
Diabetic retinopathy is the leading cause of blindness in the working-age population of the developed world. It is estimated to affect over 93 million people.
retina
The US Center for Disease Control and Prevention estimates that 29.1 million people in the US have diabetes and the World Health Organization estimates that 347 million people have the disease worldwide. Diabetic Retinopathy (DR) is an eye disease associated with long-standing diabetes. Around 40% to 45% of Americans with diabetes have some stage of the disease. Progression to vision impairment can be slowed or averted if DR is detected in time, however this can be difficult as the disease often shows few symptoms until it is too late to provide effective treatment.
Currently, detecting DR is a time-consuming and manual process that requires a trained clinician to examine and evaluate digital color fundus photographs of the retina. By the time human readers submit their reviews, often a day or two later, the delayed results lead to lost follow up, miscommunication, and delayed treatment.
Clinicians can identify DR by the presence of lesions associated with the vascular abnormalities caused by the disease. While this approach is effective, its resource demands are high. The expertise and equipment required are often lacking in areas where the rate of diabetes in local populations is high and DR detection is most needed. As the number of individuals with diabetes continues to grow, the infrastructure needed to prevent blindness due to DR will become even more insufficient.
The need for a comprehensive and automated method of DR screening has long been recognized, and previous efforts have made good progress using image classification, pattern recognition, and machine learning. With color fundus photography as input, the goal of this competition is to push an automated detection system to the limit of what is possible – ideally resulting in models with realistic clinical potential. The winning models will be open sourced to maximize the impact such a model can have on improving DR detection.
Acknowledgements This competition is sponsored by the California Healthcare Foundation.
Retinal images were provided by EyePACS, a free platform for retinopathy screening.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BackgroundCancer and diabetes are among the leading causes of morbidity and mortality worldwide. Several studies have reported diabetes as a risk factor for developing cancer, a relationship that may be explained by associated factors shared with both diseases such as age, sex, body weight, smoking, and alcohol consumption. Social factors referred to as social determinants of health (SDOH) were shown to be associated with the risk of developing cancer and diabetes. Despite that diabetes and social factors were identified as significant determinants of cancer, no studies examined their combined effect on the risk of developing cancer. In this study, we aim at filling this gap in the literature by triangulating the association between diabetes, indices of SDOH, and the risk of developing cancer.MethodsWe have conducted a quantitative study using data from the Behavioral Risk Factor Surveillance System (BRFSS), whereby information was collected nationally from residents in the United States (US) with respect to their health-related risk behaviors, chronic health conditions, and the use of preventive services. Data analysis using weighted regressions was conducted on 389,158 study participants.ResultsOur findings indicated that diabetes is a risk factor that increases the likelihood of cancer by 13% (OR 1.13; 95%CI: 1.05–1.21). People of White race had higher odds for cancer compared to African Americans (OR 0.44; 95%CI: 0.39–0.49), Asians (OR 0.27; 95%CI: 0.20–0.38), and other races (OR 0.56; 95%CI: 0.46–0.69). The indices of SDOH that were positively associated with having cancer encompassed unemployment (OR 1.78; 95%CI: 1.59–1.99), retirement (OR 1.54; 95%CI: 1.43–1.67), higher income levels with ORs ranging between 1.16–1.38, college education (OR 1.10; 95%CI: 1.02–1.18), college graduates (OR 1.31; 95%CI: 1.21–1.40), and healthcare coverage (OR 1.44; 95%CI: 1.22–1.71). On the other hand, the indices of SDOH that were protective against having cancer were comprised of renting a home (OR 0.86; 95%CI: 0.79–0.93) and never married (OR 0.73; 95%CI: 0.65–0.81).ConclusionThis study offers a novel social dimension for the association between diabetes and cancer that could guide setting strategies for addressing social inequities in disease prevention and access to healthcare.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The Latin American diabetes care devices market, valued at approximately $XX million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 5.64% from 2025 to 2033. This expansion is fueled by several key factors. The rising prevalence of diabetes across Brazil, Mexico, and the rest of Latin America, coupled with increasing awareness of effective disease management, is driving demand for both self-monitoring and management devices. Technological advancements, such as the introduction of more user-friendly continuous glucose monitoring (CGM) systems and improved insulin delivery technologies like insulin pumps, are further stimulating market growth. Government initiatives promoting diabetes awareness and affordable access to healthcare are also contributing positively. However, high costs associated with advanced devices, limited healthcare infrastructure in certain regions, and a lack of patient education in some areas pose challenges to market penetration. The market is segmented by device type (self-monitoring blood glucose devices – including glucometers, test strips, and lancets; CGMs – encompassing sensors, receivers, and transmitters; and management devices like insulin pumps, syringes, pens, and jet injectors) and geography (Brazil, Mexico, and the rest of Latin America). Brazil and Mexico are expected to be the largest markets due to their significant populations and relatively higher prevalence of diabetes. The competitive landscape is characterized by the presence of major global players like Abbott, Dexcom, Medtronic, and Roche, alongside several regional players. The future of the Latin American diabetes care devices market appears bright, although further growth hinges on several factors. Addressing affordability concerns through government subsidies and insurance coverage is critical. Furthermore, improving healthcare infrastructure and expanding patient education programs will be crucial to maximizing market potential. Strategic partnerships between manufacturers, healthcare providers, and government bodies can facilitate wider adoption of advanced technologies. Specific focus should be placed on improving access to CGM technology, which offers significant improvements in diabetes management compared to traditional self-monitoring methods. The growing adoption of telehealth and remote monitoring will also contribute to the market's future trajectory. Competitive strategies will likely focus on innovation, product differentiation, and expanding distribution networks to reach diverse patient populations across the region. Recent developments include: 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 - one of the largest combined blood glucose meter and mobile diabetes app datasets ever published., October 2022: Becton, Dickinson, and Company and Biocorp announced that they had signed an agreement to use connected technology to track adherence to self-administered drug therapies, like biologics. To support biopharmaceutical companies in their efforts to improve the adherence and outcomes of injectable drugs, the two companies will integrate Biocorp's Injay technology-a solution designed to capture and transmit injection events using Near Field Communication technology to the BD UltraSafe Plus Passive Needle Guard used with pre-fillable syringes.. Notable trends are: The Continuous Glucose Monitoring Segment is expected to witness the highest growth rate over the forecast period.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
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.
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.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The United States self-monitoring blood glucose (SMBG) market, valued at $7.62 billion in 2025, is projected to experience robust growth, driven by the increasing prevalence of diabetes and the rising adoption of advanced SMBG devices. The market's Compound Annual Growth Rate (CAGR) of 6.40% from 2019 to 2024 indicates a steady expansion, which is expected to continue through 2033. Key growth drivers include the increasing diabetic population, particularly among older adults, the rising awareness about diabetes management, and technological advancements leading to more accurate, user-friendly, and convenient glucose monitoring devices. The market is segmented into glucometer devices, test strips, and lancets, with glucometer devices likely representing the largest segment due to the technological innovations leading to smaller, more sophisticated devices and integration with mobile apps for data tracking and management. Furthermore, the growing demand for continuous glucose monitoring (CGM) systems, though not explicitly stated in the provided data, is a significant emerging trend that is likely contributing to market expansion. While challenges exist, such as the high cost of treatment and the potential for inaccuracies with some devices, the market's overall trajectory remains positive due to the sustained need for effective diabetes management. The competitive landscape is characterized by established players like Abbott Diabetes Care, Roche Holding AG, and LifeScan, who hold significant market share. These companies are engaged in continuous innovation to maintain their market dominance by developing technologically advanced devices and expanding their global reach. Smaller companies contribute significantly to innovation and competition, particularly in the development of less expensive and more accessible devices. However, the market's success is closely tied to the broader healthcare landscape, including government regulations, insurance coverage policies, and public health initiatives aimed at diabetes prevention and management. Further research is required to fully quantify the impact of these factors on specific market segments and individual companies within the US SMBG market. Recent developments include: 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-one of the largest combined blood glucose meter and mobile diabetes app datasets ever published., January 20, 2022: Roche announced the launch of the COBAS pulse system in selected countries accepting the CE mark. The COBAS pulse system marks Roche Diagnostics' newest generation of connected point-of-care solutions for professional blood glucose management. The COBAS pulse system combines the form factor of a high-performance blood glucose meter with simple usability and expanded digital capabilities like those of a smartphone. Following first commercial availability under the CE mark in select markets, Roche plans to seek CE IVDR and FDA clearance for the Cobas Pulse System in other global markets.. Notable trends are: Rising Diabetes Prevalence in the United States.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The global Diabetes Care Devices market, valued at approximately $XX million in 2025, is projected to experience robust growth, driven by rising diabetes prevalence globally, an aging population, and increasing adoption of advanced technologies like continuous glucose monitoring (CGM). The market's Compound Annual Growth Rate (CAGR) of 5.10% from 2025 to 2033 indicates a significant expansion, with substantial opportunities across various segments. Self-monitoring blood glucose (SMBG) devices, including glucometers, test strips, and lancets, continue to dominate the market due to their widespread accessibility and affordability. However, the CGM segment is witnessing exponential growth, fueled by its enhanced accuracy, convenience, and ability to provide real-time glucose data, leading to improved diabetes management. The increasing demand for insulin delivery devices, such as insulin pumps, syringes, pens, and jet injectors, also contributes significantly to market expansion. Technological advancements, including the development of integrated devices and improved sensor technologies, are further propelling market growth. The market is geographically diverse, with North America and Europe currently holding the largest market share due to high diabetes prevalence and developed healthcare infrastructure. However, Asia Pacific is emerging as a high-growth region, driven by rising disposable incomes and increasing healthcare awareness. Market restraints include the high cost of advanced devices, particularly CGMs and insulin pumps, which can limit accessibility in low- and middle-income countries. Furthermore, the need for regular calibration and potential inaccuracies associated with some devices present challenges. Despite these restraints, the continuous development of more affordable and user-friendly devices, coupled with supportive government initiatives and rising awareness campaigns, are expected to mitigate these challenges and drive market expansion throughout the forecast period. Key players in the market, including Abbott, Roche, Dexcom, Medtronic, and Novo Nordisk, are heavily invested in research and development, further fueling innovation and market competition. This competitive landscape will continue to shape the market dynamics, leading to advancements in technology and more accessible and affordable diabetes care solutions. Recent developments include: March 2023: Abbott announced that the U.S. Food and Drug Administration cleared its FreeStyle Libre 2 and FreeStyle Libre 3 integrated continuous glucose monitoring system sensors for integration with automated insulin delivery (AID) systems. Abbott modified the sensors to enable integration with AID systems., 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 - one of the largest combined blood glucose meter and mobile diabetes app datasets ever published.. Notable trends are: The continuous glucose monitoring segment is expected to witness a healthy growth rate over the forecast period.
Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). The current Physical Activity Guidelines for Americans is issued by the US Department of Health and Human Services. To meet physical activity guidelines, adults must meet aerobic physical activity guidelines (vigorous activity for at least 75 minutes a week, or moderate activity for at least 150 minutes a week, or a combination of vigorous and moderate activity for at least 150 minutes a week) and muscle-strengthening physical activity guidelines (exercise all major muscle groups on 2 or more days a week).Physical inactivity contributes to our current obesity epidemic and is a major risk factor for heart disease, diabetes, cancer, and many other chronic health conditions. It can be difficult for people to be physically active if their communities do not have available and safe places for recreation.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BackgroundDiabetes stigma is recognized to negatively impact health-related outcomes for people living with type 2 diabetes (T2D), but there is a dearth of evidence among U.S. Latino adults with T2D. Our aim was to develop a Spanish-language translation of the Type 2 Diabetes Stigma Assessment Scale (DSAS-2) and examine its psychometric properties among U.S. Latino adults with T2D.MethodsThe translation was developed through a multi-step process, including a focus group with community health workers (n=5) and cognitive debriefing interviews with Latino adults with T2D (n=8). It was field-tested in an online survey of U.S. Latino adults with T2D, recruited via Facebook (October 2018 to June 2019). Exploratory factor analysis examined structural validity. Convergent and divergent validity were assessed by testing hypothesized correlations with measures of general chronic illness stigma, diabetes distress, depressive and anxiety symptoms, loneliness, and self-esteem.ResultsAmong 817 U.S. Latino adults with T2D who participated in the online survey, 517 completed the Spanish-language DSAS-2 (DSAS Spa-US) and were eligible for the study (mean age 54 ± 10 years, and 72% female). Exploratory factor analysis supported a single-factor solution (eigenvalue=8.20), accounting for 82% of shared variance among the 19 items, all loading ≥ 0.5. Internal consistency reliability was high (α=0.93). As expected, strong, positive correlations were observed between diabetes stigma and general chronic illness stigma (rs=0.65) and diabetes distress (rs=0.57); medium, positive correlations, between diabetes stigma and depressive (rs=0.45) and anxiety (rs=0.43) symptoms, and loneliness (rs=0.41); and a moderate negative correlation between diabetes stigma and self-esteem (rs=-0.50). There was no relationship between diabetes stigma and diabetes duration (rs=0.07, ns).ConclusionThe DSAS-2 Spa-US is a version of the DSAS-2, translated into Spanish, that has good psychometric properties for assessing diabetes stigma in U.S. Latino adults with T2D.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined as the propor-tion of people within a county who had previously been diagnosed with diabetes (high fasting plasma glu-cose 126 mg/dL, hemoglobin A1c (HbA1c) of 6.5%, or diabetes diagnosis) but do not currently have high fasting plasma glucose or HbA1c for the period 2004-2012. DC prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or HbA1C levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (16). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or HbA1C status for each BRFSS respondent (16). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict county-level prevalence of diabetes-related outcomes, including DC (16). The EQI was constructed for 2006-2010 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that _domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each _domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and _domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). Results are reported as prevalence rate differences (PRD) with 95% confidence intervals (CIs) comparing the highest quintile/worst environmental quality to the lowest quintile/best environmental quality expo-sure metrics. PRDs are representative of the entire period of interest, 2004-2012. Due to availability of DC data and covariate data, not all counties were captured, however, the majority, 3134 of 3142 were utilized in the analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jagai, J., A. Krajewski, K. Price, D. Lobdell, and R. Sargis. Diabetes control is associated with environmental quality in the USA. Endocrine Connections. BioScientifica Ltd., Bristol, UK, 10(9): 1018-1026, (2021).