- ATP Men's Tennis -- 4.1 percent
- ATP Women's Tennis -- 4.7 percent
- Major League Baseball -- 15.5 percent
- Minor League Baseball -- 2.5 percent
- Major League Soccer -- 2.4 percent
- International Pro Soccer -- 3.5 percent
- NBA -- 10.0 percent
- WNBA -- 2.3 percent
- Men's College Basketball -- 13.7 percent
- Women's College Basketball -- 3.9 percent
- NFL -- 23.6 percent
- College Football -- 24.4 percent
- High School Football -- 8.1 percent
- NHL -- 5.2 percent
- PGA Golf -- 9.3 percent
- LPGA Golf -- 4.1 percent
- NASCAR -- 8.9 percent
- Cycling -- 2.0 percent
- Horse Racing -- 4.5 percent
- Figure Skating -- 16.0 percent
- Boxing -- 7.2 percent
- Mixed Martial Arts -- 4.8 percent
- BASS Fishing -- 3.1 percent
The data needs to be merged with some demographics so I can break people down by race and sex and region of the country. That's a summer project because then it opens up a whole set of interesting analyses for papers or articles or blog posts to be read by tens of people worldwide.
I even have questions on how often people watch sports on TV and how often they've attended certain sporting events (all the categories above, plus those I left out).
And here's the best part. In the same data I (think) I have questions on favorite movie genres. I can even break people down by the kinds of clubs they belong to, their hobbies, the music they listen to, and most important -- their attitudes about race. That last one is definitely a paper in the making. As my grad class in (irony alert) secondary analysis did not "make" for the summer, I have lots of time to crank data.
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