With the reform of rural network enterprise system, the speed of transfer property rights in rural power enterprises is accelerated. The evaluation of the operation and development status of rural power enterprises is directly related to the future development and investment direction of rural power enterprises. At present, the evaluation of the production and operation of rural network enterprises and the development status of power network only relies on the experience of the evaluation personnel, sets the reference index, and forms the evaluation results through artificial scoring. Due to the strong subjective consciousness of the evaluation results, the practical guiding significance is weak. Therefore, distributed data mining method in rural power enterprises status evaluation was proposed which had been applied in many fields, such as food science, economy or chemical industry. The distributed mathematical model was established by using principal component analysis (PCA) and regression analysis. By screening various technical indicators and determining their relevance, the reference value of evaluation results was improved. Combined with statistical program for social sciences (SPSS) data analysis software, the operation status of rural network enterprises was evaluated, and the rationality, effectiveness and economy of the evaluation was verified through comparison with current evaluation results and calculation examples of actual grid operation data.