Principal Component Analysis (PCA) is a scientific method which combines original indexes, extracts principal components, simplifies variables, and grasps object characteristics. It is widely used in classification research. First, the main components of the urbanization characteristics of Tibet are extracted, and the types of urbanization development in Tibet are classified by factor scores. The conclusions are as following: (1) factors of Tibet`s urbanization are summarized as 7 main factors, namely outside aiding factor, consumption factor, agricultural factor, natural factor, construction factor and industrial factor, education factor, and the main factor embodies the characteristics of Tibet. (2) the urbanization pattern of Tibet in 2015 can be divided into service centered type, agricultural produced type, industrial development type, aiding dependent type, aiding type, natural restricted type and natural supported type. The characteristics of different types of urbanization are obvious.(3) The pattern of urbanization in Tibet is different from that in most areas of China. The experience of urbanization construction of other areas cannot be copied to Tibet Autonomous Region.