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Village classification is the first step to implementing China’s rural revitalization (RR) strategy, and understanding the geographic differences in the distribution of village types helps to grasp the pathway of their unique development. This study spatialized 9250 villages in Jilin Province (divided into six types) of China, and their distribution characteristics and influencing factors were examined using methods such as kernel density estimation, Ripley’s K function, the co-location quotient, and Geodetector. The results indicate that the spatial distribution balance and density of village types are different. All types of villages show an agglomeration distribution pattern, but the scale and intensity vary. There is a strong spatial association between agglomerative promotion (AP) and stable improvement (SIm) villages, as well as between characteristic protection (CP) and prospering frontier and enriching people (PE) villages. The factors affecting their distribution include terrain undulation, the percentage of arable land, the distance to the county town, road network density, population density, gross domestic product (GDP), and industrial enterprise density. The influencing factors for the distribution of village types are closely related to the function of each village. Based on the differences in the spatial distribution and influencing factors of different village types, policy suggestions are given for classified development.