In today's communication-centric world, users generate and exchange a huge amount of data. The Internet helps user data to travel from one part of the world to another via a complex setting of network systems. These systems are intelligent, heterogeneous, and non-transparent to users. In this paper, we present an extensive trace-driven study of user data traffic covering five years of observations, six large ISPs, 21 different autonomous systems, and a total of 13 countries. The aim of this work is to make users aware about how their data travels in the Internet, as the data traffic path is majorly influenced by the interests of ISPs. We showed that shortest land distance between the two countries does not impact data path selection, while data traffic prefers to travel even though country do not share land borders.