The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey. In a first step, we discuss a principal component analysis of the categorization data that led to a small set of easily interpretable features that are dominant in color categorization. These features were used for a dimensionality reduction of the categorization data. Using the thus preprocessed categorization data, we proceed to show that the available typological data support the hypothesis by the cognitive scientist Peter G