The invention discloses a method for analyzing and excavating area defaulted electricity use based on electricity use quantities. The method comprises steps such as data collection, data conversion, data cleaning and K-means clustering analysis based on the electricity use quantities. According to the invention, electricity use data is excavated from two perspectives including the electricity use quantities and electricity use behaviors. K-means is taken as a classical algorithm to excavate users' electricity use behaviors, and is also an important tool of the method disclosed by the invention. Clustering is conducted according to the users' electricity use quantities and electricity use behaviors; each user's characteristics in dimensions of the electricity use quantity and the electricity use behavior are recognized; through comprehensive analysis of these two perspectives, clients suspected of the defaulted electricity use can be found through detection; and in this way, the defaulted electricity use users can be excavated more visually and rapidly from mass data.