Dark Mode
US Behavioral Risk Factor Surveillance Data
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
The Behavioral Risk Factor Surveillance System (BRFSS) serves as the premier health-related telephone survey system in the United States, designed to collect essential data regarding health-related risk behaviours, chronic health conditions, and the utilisation of preventive services among residents. Established in 1984 and expanded to cover all 50 states, the District of Columbia, and three U.S. territories, this system completes over 400,000 adult interviews annually, distinguishing it as the largest continuously conducted health survey system globally. This dataset consolidates prevalence data from 2011 to 2021, providing a robust foundation for identifying modifiable risk factors for chronic diseases and other leading causes of death. By combining landline and mobile phone prevalence data, it offers a powerful tool for targeting and constructing health promotion activities at state and local levels.
Columns
- Year: The calendar year in which the data was collected (2011–2021).
- Locationabbr: Two-letter abbreviation for the state or territory (e.g., NE, SC).
- Locationdesc: Full name of the state or region.
- Class: Broad classification of the data (e.g., Demographics, Chronic Health Indicators).
- Topic: Specific health or demographic topic (e.g., Diabetes, Employment, BMI).
- Question: The specific survey question asked to the respondent.
- Response: The category of response given (e.g., Yes, No, Overweight).
- Break_Out: The specific demographic sub-group associated with the data point (e.g., Female, Overall).
- Break_Out_Category: The broader demographic category for the breakout (e.g., Gender, Age Group, Race/Ethnicity).
- Sample_Size: The number of unweighted responses for the specific category.
- Data_value: The estimated prevalence value (percentage) for the response.
- Confidence_limit_Low: The lower bound of the 95% confidence interval.
- Confidence_limit_High: The upper bound of the 95% confidence interval.
- Display_order: Numerical value used for sorting or ordering the data.
- Data_value_unit: The unit of measurement for the data value (e.g., %).
- Data_value_type: The type of statistical estimate (e.g., Crude Prevalence).
- Data_Value_Footnote_Symbol: Symbol indicating the presence of a footnote.
- Data_Value_Footnote: Explanatory text for data limitations (e.g., sample size insufficient).
- DataSource: The origin of the data (BRFSS).
- ClassId: Unique identifier for the Class column.
- TopicId: Unique identifier for the Topic column.
- LocationID: Unique identifier for the Location.
- BreakoutID: Unique identifier for the Break_Out column.
- BreakOutCategoryID: Unique identifier for the Break_Out_Category.
- QuestionID: Unique identifier for the Question.
- ResponseID: Unique identifier for the Response.
- GeoLocation: Latitude and longitude coordinates for the location.
Distribution
- Format: CSV
- Size: Approximately 753.69 MB
- Structure: 2,289,902 rows by 27 columns
- Update Frequency: Never (Static dataset covering 2011–2021)
Usage
- Health Promotion Targeting: Identifying specific demographics or regions with higher risk factors to tailor health interventions.
- Epidemiological Research: Analysing trends in chronic diseases like diabetes, heart conditions, and obesity over a decade.
- Policy Development: Informing state and local health policies based on prevalence data of risk behaviours such as tobacco and e-cigarette use.
- Public Health Surveillance: Monitoring the health status and healthcare access of the U.S. population.
- Academic Studies: Utilising large-scale survey data for sociological and health-related academic research.
Coverage
- Geographic: Covers all 50 United States, the District of Columbia, and three U.S. territories. Includes specific geolocation coordinates.
- Time Range: Annual data from 2011 to 2021.
- Demographic: Includes breakdowns by Gender, Age Group, Race/Ethnicity, Education Attained, and Household Income.
- Note: 2011 marked the beginning of combined landline and mobile phone data collection.
License
CC0: Public Domain
Who Can Use It
- Public Health Officials: For state and local health assessment.
- Epidemiologists: For tracking disease patterns and risk factors.
- Data Scientists: For predictive modelling of health trends.
- Policy Makers: For evidence-based decision making in healthcare.
- Academic Researchers: For longitudinal health studies.
Dataset Name Suggestions
- US Behavioral Risk Factor Surveillance Data (2011-2021)
- Decade of US Health Risk Trends: BRFSS Prevalence
- CDC Health and Wellness Survey Data 2011-2021
- Comprehensive US Chronic Disease & Risk Factor Data
Attributes
Original Data Source: US Behavioral Risk Factor Surveillance Data
QUALITYLoading...