As the risk of falling caused by deterioration of exterior wall tiles has become increasingly prominent, a multiple linear regression model is proposed to rapidly assess the deterioration degree based on field surveys. This method aims to reduce the ambiguity of existing assessment approaches while improving diagnostic efficiency. Firstly, the types of deterioration and their impacts on exterior wall tiles were classified and analyzed according to the available research, and qualitative assessment standards for deterioration were summarized. Then, the image library covering the deterioration of exterior wall tiles was established through surveys, and grouped evaluation of the deterioration based on the proposed standards was conducted. Subsequently, an assessment model for the deterioration was built using a multiple linear regression approach, with a determination coefficient R² of 82.45%, and the impact of independent variables on dependent variables was statistically significant. To further standardize the assessment results, a value function was introduced to process the model output, obtaining normalized deterioration degree assessment values. Finally, combining the regression model, value function, and rating standards of deterioration degree, a complete set of assessment approaches was formed. Compared with traditional assessment methods, this approach has the advantages of being comprehensive, simple, efficient, and highly applicable.