The invention belongs to the field of area data processing in a power system and particularly relates to an area closed-loop data analysis method on the basis of an analytical hierarchy process and wavelet regression. Mainly, by the analytical hierarchy process and wavelet regression closed-loop data processing method, equipment ledger data, operation data, equipment detection overhaul data and marketing data of an area are comprehensively analyzed, an operating state of equipment of the area is evaluated, an electrical load is estimated and forecast, power consumption of a user is modeled, an electricity stealing behavior is judged, line loss is comprehensively and automatically estimated, an area contractor is subjected to automatic responsibility quantization and division and automatic evaluation on a work completion degree, and the like. The area closed-loop data analysis method has the advantages that accurate data support is provided for anti-electric-larceny judgment, formulation of marketing indexes, development of performance appraisal and the like; a method capable of accurately carrying out evaluation index setting and completion result examination is provided for area management of a power supply enterprise; management quality and efficiency of the area are greatly improved.