BRFSS 2020 Heart Disease Dataset(Cleaned Version)
Originally, the dataset come from the CDC and is a major part of the Behavioral Risk Factor Surveillance System (BRFSS), which conducts annual telephone surveys to gather data on the health status of U.S. residents. As the CDC describes: "Established in 1984 with 15 states, BRFSS now collects dat
Originally, the dataset come from the CDC and is a major part of the Behavioral Risk Factor Surveillance System (BRFSS), which conducts annual telephone surveys to gather data on the health status of U.S. residents. As the CDC describes: “Established in 1984 with 15 states, BRFSS now collects data in all 50 states as well as the District of Columbia and three U.S. territories. BRFSS completes more than 400,000 adult interviews each year, making it the largest continuously conducted health survey system in the world.”. The most recent dataset (as of February 15, 2022) includes data from 2020. It consists of 401,958 rows and 279 columns. The vast majority of columns are questions asked to respondents about their health status, such as “Do you have serious difficulty walking or climbing stairs?” or “Have you smoked at least 100 cigarettes in your entire life? [Note: 5 packs = 100 cigarettes]”.
To improve the efficiency and relevance of our analysis, we removed certain attributes from the original BRFSS dataset. Many of the 279 original attributes included administrative codes, metadata, or survey-specific variables that do not contribute meaningfully to heart disease prediction—such as respondent IDs, timestamps, state-level identifiers, and detailed lifestyle questions unrelated to cardiovascular health. By focusing on a carefully selected subset of 18 attributes directly linked to medical, behavioral, and demographic factors known to influence heart health, we streamlined the dataset. This not only reduced computational complexity but also improved model interpretability and performance by eliminating noise and irrelevant information. All predicting variables could be divided into 4 broad categories:
Demographic factors: sex, age category (14 levels), race, BMI (Body Mass Index)
Diseases: weather respondent ever had such diseases as asthma, skin cancer, diabetes, stroke or kidney disease (not including kidney stones, bladder infection or incontinence)
Unhealthy habits:
- Smoking – respondents that smoked at least 100 cigarettes in their entire life (5 packs = 100 cigarettes)
- Alcohol Drinking – heavy drinkers (adult men having more than 14 drinks per week and adult women having more than 7 drinks per week
General Health:
- Difficulty Walking – weather respondent have serious difficulty walking or climbing stairs
- Physical Activity – adults who reported doing physical activity or exercise during the past 30 days other than their regular job
- Sleep Time – respondent’s reported average hours of sleep in a 24-hour period
- Physical Health – number of days being physically ill or injured (0-30 days)
- Mental Health – number of days having bad mental health (0-30 days)
- General Health – respondents declared their health as ’Excellent’, ’Very good’, ’Goo
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Files are hosted on the source repository. Click download to access the full dataset.