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The aim of this study is to assess differences and commonalities in the student travel market across different countries and to determine typologies based on touristic attractions/activities. The study generates groups based on travel motivations largely drawn from the Leisure Motivation Scale and other relevant tourism literature. To achieve the aim, data is obtained from a sample of 3431 respondents from eight countries, i.e. Brazil, India, Malaysia, Pakistan, Portugal, Spain, Thailand, and the USA. The data are analysed using two principal component analyses (PCAs), a combination of two clustering methods: the Ward method, and an optimal solution method, the K-Means method. Seven clusters based on touristic attractions/activities emerged. The findings from the current study suggest that perceptions of touristic attractions/activities are different by country although some similarities do exist. Besides providing …