© 2016, Springer Science+Business Media Dordrecht. In this work we introduce the analysis of DysList, a language resource for Spanish composed of a list of unique spelling errors extracted from a collection of texts written by people with dyslexia. Each of the errors was annotated with a set of characteristics as well as with visual and phonetic features. To the best of our knowledge, this is the largest resource of this kind in Spanish. We also analyzed all the features of Spanish errors and our main finding is that dyslexic errors are phonetically and visually motivated.