The invention discloses a distribution network high-fault region identification method. The method comprises the following steps: performing fuzzy identification on distribution network fault positions on the basis of multisource data; based on historical load data and meteorological monitoring data, performing distribution network fault power failure load loss evaluation; performing grid division on a geological view and realizing mapping between faults and geological grids; calculating a fault influence statistical index of each geological grid in a given time period and quantifying fault influences in each grid area; according to each fault influence statistical index, performing coloring so as to generate a fault influence color spot graph; and bringing forward corresponding auxiliary decision-making advice to a high-fault region. According to the invention, power failure loss quantification and fuzzy positioning are performed on vast distribution network faults, the mapping is performed with the geological grids, the fault influences of the geological grids are statistically analyzed, and the fault influence color spot graph is formed, such that refined and customized auxiliary decision-making advance is provided for distribution network scheduling, operation and maintenance.