I’ve been working on consolidating the data from the four surveys. It has all been coded and I’m figuring out how to analyze it now. These are basic frequency graphs of some of the demographics of the participants. 

The top graph is the age range, the average age of participants was 28 so it skewed young. This makes sense given how the survey was spread and also given that younger people are much more likely to have been diagnosed as children or teens. 

The bottom graph is the gender frequency. Number 1/blue are people who identified as female or women, number 2/Green are people who identify as male or men, number 3/beige are people who fall into the nonbinary category, and 999/purple are folks who didn’t answer the question.