The objective of this dissertation is to apply data mining methods in the study of crime based on international data sources. Crime control is fundamental to the welfare, stability and development of modern society. Crime occurs in a composite of surrounding variables, typically uncontrollable by government, society or citizens. These environmental variables can roughly be classified into demographic, economic as well as historical factors, playing visible or mostly invisible roles in shaping geographic distribution of criminal phenomena on the international level, affecting occurrence and features of particular offences within particular jurisdictions, and providing a foundation for clustering relevant countries where there are comparable interaction of these variables in certain internal mechanism. To reveal this internal mechanism, performing crime analysis using data mining and visualization techniques proves to be an intimidating assignment.