The limited financial resources and facilities of state-owned banks have necessitated the need to evaluate performance in order to plan for increased efficiency and productivity. The purpose of this paper is to present a new approach to evaluate the performance of Maskan bank branches using a hybrid index based on multilayer data envelopment analysis. To this end, by reviewing the theoretical background, interviewing bank experts as well as the documentation available in the bank under study, 5 criteria (resources, facilities, banking services and profitability, cash flow and credit risk control) and 19 sub-criteria were defined and for the statistical population of this study ( 1255 Maskan Bank Branches) Operated in fiscal year 2016. Then, using Data Envelopment Analysis (DEA) model, a hybrid branch performance index was developed for the branches. The findings of this study, along with calculating the relative score of performance index, rank and clustering of Maskan Bank Branches, provided additional useful information such as weighting of performance criteria and sub-criteria for each Branch. By evaluating based on actual performance data, ratings of the branches can be undertaken, as well as weight analysis of these criteria and sub-criteria can provide an appropriate context for performance analysis, defining operational goals and distinct marketing strategies for each branch according to the degree of importance of the criteria and Sub-criteria d Provide the unit and ultimately the performance of the unit and the entire bank.