Abstract: Identifying village types is a core task for advancing rural revitalization and optimizing national territorial spatial planning. As an important part of watershed flood control systems, villages in flood storage areas possess unique types and characteristics. This study focuses on Wangjiaba Town, Funan County, Fuyang City, Anhui Province in the Mengwa Flood Storage Area of the Huaihe River Basin, constructing a multidimensional indicator system. The K-means clustering algorithm is employed to classify villages, summarize their characteristics, and explore the application of classification results in village planning. The findings reveal that: 1) The seven villages in Wangjiaba Town can be categorized into three types, namely suburban integration type, industrial upgrading type, and agricultural stability type. 2) Suburban integration villages are adjacent to the town center, including Baozhuangwei and dyke-side villages, with low flood risk; industrial upgrading villages are close to the town center, with construction land as the main land use type and mostly located along dykes; agricultural stability villages are far from the town center, covered with large areas of high-quality permanent basic farmland, and face high flood risk. 3) The planning priorities for suburban integration villages involve intensive land use, industrial agglomeration, and population concentration based on Baozhuangwei; for industrial upgrading villages, the priorities focus on resource utilization, industrial development, and environmental improvement; for agricultural stability villages, the priorities lie in adapting to agricultural development needs and promoting the orderly relocation of villagers. This study provides a basis for understanding the types, characteristics, and planning priorities of villages in flood storage areas, thereby contributing to rural revitalization in such regions.