During the last decades a solid knowledge base has been created for understanding travel behavior. Different scientific areas like psychology, economics and engineering are researching explanations of human behavior at different levels, with different methods and partially with different measures. Most approaches seek on an individual level, to identify factors that provide information on the variability of travel behavior and help explain these variations. If major factors influencing travel behavior are able to be identified and quantified, planning deficits and chances could be revealed and new policies could be designed. In light of the different stages in life, for instance impending or completed professional education, moving to a new city, into a shared or own flat, starting (one's own) family, reorientation to a routine working life among others, young adults are intuitively a very heterogeneous group. The methodological focus of the paper to be presented is on the creation of a typology of young adults’ travel behavior using multivariate statistical methods. The main applied data source for this work is the German Mobility Panel. The sample was generated from young adults between the ages of 18 and 35 who were selected out of first participants in one panel wave between 2002 and 2007. As a result, a cluster-analytical typology on young adults based on travel behavior will be presented. This typology contains six different groups, which can be described very clearly through socio-demographics and variables of land-use.