It was estimated that as of 2023, around **** million people in the United States had been diagnosed with diabetes. The number of people diagnosed with diabetes in the U.S. has increased in recent years and the disease is now a major health issue. Diabetes is now the seventh leading cause of death in the United States, accounting for ******percent of all deaths. What is prediabetes? A person is considered to have prediabetes if their blood sugar levels are higher than normal but not high enough to be diagnosed with type 2 diabetes. As of 2021, it was estimated that around ** million men and ** million women in the United States had prediabetes. However, according to the CDC, around ** percent of these people do not know they have this condition. Not only does prediabetes increase the risk of developing type 2 diabetes, but also increases the risk of heart disease and stroke. The states with the highest share of adults who had ever been told they have prediabetes are California, Hawaii, and New Mexico. The prevalence of diabetes in the United States As of 2023, around *** percent of adults in the United States had been diagnosed with diabetes, an increase from ****percent in the year 2000. Diabetes is much more common among older adults, with around ** percent of those aged 60 years and older diagnosed with diabetes, compared to just ****percent of those aged 20 to 39 years. The states with the highest prevalence of diabetes among adults are West Virginia, Mississippi, and Louisiana, while Utah and Colorado report the lowest rates. In West Virginia, around ** percent of adults have been diagnosed with diabetes.

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;

This statistic shows the percentage of the U.S. population aged 20 years and over with diabetes in periods between 1988 and 2018. In the 2015-2018 period, there were some estimated ** * percent of the U.S. population aged 20 years and over with diabetes.

This dataset contains information on the proportion by age, total number, male and female and sex of adults of adults diagnosed with diabetes, collected from the system of health-related telephone surveys, the Behavioral Risk Factor Surveillance System (BRFSS), conducted in more than 400,000 patients, from 50 states in the US, the District of Columbia and three US territories.

Around ** percent of the global adult population suffered from diabetes in 2024 - by the year 2050 this number is expected to rise to ** percent. Diabetes, or diabetes mellitus, refers to a group of metabolic disorders that result in chronic high blood sugar levels. Diabetes can lead to serious health complications, such as cardiovascular disease, chronic kidney disease, and stroke, and is now among the top ten leading causes of death worldwide. Prevalence Diabetes is a global problem affecting many countries. China currently has the largest number of diabetics worldwide, with some *** million people suffering from the disease. However, the highest prevalence of diabetes is found in Pakistan, followed by the Marshall Islands and Kuwait. Rates of diabetes have increased in many countries in recent years, as have rates of obesity, one of the leading risk factors for the disease. Outlook It is predicted that diabetes will continue to be a problem in the future. Africa is expected to see a *** percent increase in the number of diabetics in the region from 2024 to 2050, while North America and the Caribbean are expected to see an increase of ** percent. In 2050, China is predicted to be the country with the highest number of diabetics worldwide, with the United States accounting for the fourth-highest number.

Actual value and historical data chart for United States Diabetes Prevalence Percent Of Population Ages 20 To 79

US population simulation estimates of diabetes prevalence (95% CI) during pregnancy in non-Hispanic white and non-Hispanic black women ages 15–44.

"Explore detailed statistics on diabetes and obesity prevalence in U.S. states and counties, with a focus on both men and women. This dataset includes numeric data and percentages, shedding light on critical health indicators. The comprehensive insights derived from this dataset serve as a valuable resource for public health professionals, policymakers, and researchers to inform evidence-based interventions and strategies for addressing health disparities across regions."

Data on type 1 diabetes population size (prevalence) and new diagnosis rates (incidence) for youth and adults.

From 2017 to March 2020, the prevalence of diabetes was highest among those with lower incomes, with around ** percent of those who earned *** percent or less of the federal poverty level suffering from diabetes. This statistic shows the prevalence of diabetes in the U.S. from 2017 to March 2020, by family income relative to the federal poverty level (FPL).

Population-based county-level estimates for diagnosed (DDP), undiagnosed (UDP), and total diabetes prevalence (TDP) were acquired from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (Evaluation 2017). 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 hemoglobin A1C (HbA1C) levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (Dwyer-Lindgren, Mackenbach et al. 2016). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or A1C status for each BRFSS respondent (Dwyer-Lindgren, Mackenbach et al. 2016). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict the county-level prevalence of each of the diabetes-related outcomes (Dwyer-Lindgren, Mackenbach et al. 2016). Diagnosed diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis, represented as an age-standardized prevalence percentage. Undiagnosed diabetes was defined as proportion of adults (age 20+ years) who have a high FPG or HbA1C but did not report a previous diagnosis of diabetes. Total diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis and/or had a high FPG/HbA1C. The age-standardized diabetes prevalence (%) was used as the outcome. The EQI was constructed for 2000-2005 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). 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, S. Shaikh, D. Lobdell, and R. Sargis. Association between environmental quality and diabetes in the U.S.A.. Journal of Diabetes Investigation. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(2): 315-324, (2020).

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of diagnosed diabetes prevalence among adults aged 18 years and older at county, place, census tract, and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for diagnosed diabetes is DIABETES.

In 2023, the prevalence of diagnosed diabetes in the United States among people aged 18 and over amounted to *** percent. This was an increase from *** percent in the year 2000. How many people in the United States have diabetes? It was estimated that in 2023, almost **** million people in the United States had been diagnosed with diabetes. The number of people living with diabetes has increased over the past few decades, with only **** million people living with diabetes in the year 1980. Diabetes in the United States is more common among older adults, with around ** percent of those aged 60 years and older diagnosed with diabetes, compared to ** percent of those aged 40 to 59 years. Leading diabetic states In 2023, the U.S. states with the highest prevalence of diagnosed diabetes were West Virginia, Mississippi, and Louisiana. Just over ** percent of adults in West Virginia had diabetes that year. In Utah, just under ***** percent of adults have been diagnosed with diabetes, the lowest share in the United States.

Diabetes Mellitus death rates by county, all races (includes Hispanic/Latino), all sexes, all ages, 2019-2023. Death data were provided by the National Vital Statistics System. Death rates (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by the National Cancer Institute. The US Population Data File is used for mortality data. The Average Annual Percent Change is based onthe APCs calculated by the Joinpoint Regression Program (Version 4.9.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties. Counties with a (3) after their name may have their joinpoint regresssion model calculated using a different time period due to data availability issues.

Discover the booming US diabetes devices market, projected to reach [estimated 2033 market size in billions] by 2033, with a CAGR of 6.27%. This in-depth analysis covers market trends, key players (Abbott, Medtronic, Dexcom), and growth drivers like continuous glucose monitoring (CGM) and insulin pump advancements. Learn about market segmentation and regional insights. Recent developments include: August 2023: The US Food and Drug Administration (FDA) has granted clearance for Roche's Accu-Chek Solo micropump system, a tubing-free "patch" pump for people with diabetes who use insulin., March 2022: Dexcom released G7 first in the U.K. and was expected to expand the launch across Europe throughout 2022. Meanwhile, the CGM system currently is under review by the Food and Drug Administration for an eventual U.S. release.. Key drivers for this market are: Increasing Number of Preterm and Low-weight Births, Advanced Technology in Fetal and Prenatal Monitoring. Potential restraints include: Stringent Regulatory Procedures. Notable trends are: Growing Diabetes and Obesity Population in the United States.

1) Data Introduction • The Diabetes Health Indicators Dataset is a large health dataset that collects various health indicators and lifestyle information related to diabetes diagnosis based on health surveys and medical records of the U.S. population.

2) Data Utilization (1) Diabetes Health Indicators Dataset has characteristics that: • The dataset consists of more than 250,000 samples and contains more than 20 health and demographic variables, including diabetes (binary or triage label), age, gender, BMI, blood pressure, cholesterol, smoking and drinking habits, physical activity, mental health, income, and education level. (2) Diabetes Health Indicators Dataset can be used to: • Diabetes prediction model development: It can be used to develop machine learning-based classification models that use health indicators and lifestyle data to predict the risk of developing diabetes. • A Study on the Correlation between Lifestyle and Diabetes: It can be used in epidemiological and public health studies to analyze the effects of various lifestyle and demographic variables such as smoking, drinking, exercise, and eating habits on diabetes incidence.

Diabetes prevalence in Massachusetts has been steadily increasing.

ObjectiveTo determine differences in DM in the U.S. population according to demographic characteristics, physical indicators and living habits.Methods23 546 participants in the 2009 to 2018 National Health and Nutrition Examination Survey (NHANES) who were 20 year of age or older and not pregnant. All analyses used weighted samples and considered the stratification and clustering of the design. Specific indicators include length of leg (cm), BMI (kg/cm2), TCHOL (mg/dL), fasting plasma glucose (mg/dL) and comparison of means and the proportion of participants with DM.ResultsThe prevalence of DM in the USA has been rising modestly in the past decade, and were consistent and robust for the observed differences in age, sex, and ethnicity. Compared with white participants, black participants and Mexican-American were both more likely (P

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).

Context

Diabetes is a chronic health condition that affects how your body turns food into energy. There are three main types of diabetes: type 1, type 2, and gestational diabetes.

• Type 1 diabetes is an autoimmune disease that causes your body to attack the cells in your pancreas that produce insulin. Insulin is a hormone that helps your body use glucose for energy.

• Type 2 diabetes is the most common type of diabetes. It occurs when your body doesn't respond normally to insulin, or when your body doesn't produce enough insulin.

• Gestational diabetes is a type of diabetes that develops during pregnancy. It usually goes away after the baby is born.

Prevalence of Diabetes

According to the CDC BRFSS 2021, 34.1 million adults in the United States have diabetes, or 10.5% of the adult population. This number has been increasing over time. In 2010, 29.1 million adults in the United States had diabetes, or 9.3% of the adult population.

Content

The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based telephone survey that collects data about health-related risk behaviors, chronic health conditions, and the use of preventive services among adults aged 18 years and older residing in the United States. Conducted annually by the Centers for Disease Control and Prevention (CDC), the BRFSS has been providing valuable insights into the health status and behaviors of U.S. adults since its inception in 1984.

For this dataset, a csv of the 2021 BRFSS dataset available on Kaggle was used. The original dataset contains responses from 438,693 individuals and has 303 features. These features are either questions directly asked of participants, or calculated variables based on individual participant responses.

This dataset contains 3 files:

• diabetes_012_health_indicators_BRFSS2021.csv is a clean dataset of 236,378 survey responses to the CDC's BRFSS2021. The target variable Diabetes_012 has 3 classes. 0 is for no diabetes or only during pregnancy, 1 is for prediabetes, and 2 is for diabetes. There is class imbalance in this dataset. This dataset has 21 feature variables.

• diabetes_binary_5050split_health_indicators_BRFSS2021.csv is a clean dataset of 67,136 survey responses to the CDC's BRFSS2021. It has an equal 50-50 split of respondents with no diabetes and with either prediabetes or diabetes. The target variable Diabetes_binary has 2 classes. 0 is for no diabetes, and 1 is for prediabetes or diabetes. This dataset has 21 feature variables and is balanced.

• diabetes_binary_health_indicators_BRFSS2021.csv is a clean dataset of 236,378 survey responses to the CDC's BRFSS2021. The target variable Diabetes_binary has 2 classes. 0 is for no diabetes, and 1 is for prediabetes or diabetes. This dataset has 21 feature variables and is not balanced.

Acknowledgements

It it important to reiterate that I did not create this dataset, it is just a cleaned and consolidated dataset created from the BRFSS 2021 dataset already on Kaggle. That dataset can be found here and the notebook I used for the data cleaning can be found here.

Inspiration

Alex Teboul for Cleaning the dataset for Machine Learning use by using the 2015 BRFSS was the inspiration for creating this dataset and exploring the BRFSS in general.