Education is the first step toward revitalizing the rural. The rational allocation of rural compulsory education resources is an important means of achieving comprehensive social development and urban-rural integration. This study used the Densi-Graph urban and rural identification method method to accurately identify urban and rural areas at the grid scale within the administrative division. Taking the rural area of Chongqing as an example, based on resource coverage, environmental constraints, and accessibility, this study explored the spatial differences in compulsory education resource availability. A spatial regression model and geographical detector were used to determine the main influencing factors. In order to provide data support and decision-making reference for the availability of rural compulsory education resources and spatial optimization of schools. The results show that the following: First, there is a significant difference between urban and rural areas based on the Densi-Graph urban-rural identification method, with the rural area of Chongqing reaching 79,752 km2, accounting for 96.82% of the total area; the urban area is 2,616 km2, accounting for only 3.18% of the total area, and is concentrated in the central city. There are significant circle layer increasing characteristics in the distribution of rural areas. From the central urban area to the periphery, the proportion of urban areas gradually decrease, and the proportion of rural areas gradually increase. The proportion of rural areas in the central urban area is 80.12%; the area of rural areas in the pioneering development areas of the same city, important strategic pivot cities, and bridgehead cities account for 95.81%, 96.32%, and 97.04%, respectively, which are higher in southeast and northeast Chongqing. Second, the availability of compulsory education resources in Chongqing has obvious spatial agglomeration and spatial correlation characteristics. High-level areas are clustered around the central urban area and scattered in the central area of the townships. Low-level areas are concentrated in backward mountainous areas, such as Chengkou, Wushan, and Pengshui. Specifically, high-level resource coverage areas are in a point-like agglomeration state in northeast and southeast Chongqing. The polarization of accessibility is significant. High-level areas only appear around the central urban area, while low-level areas are widely distributed in the west, northeast, and southeast of Chongqing. The degree of environmental constraint varies with terrain, and the spatial differences are small. A small number of low-level regions are concentrated at the junction of Chengkou, Kaixian, and Wuxi, with large terrain fluctuations. Overall, the availability level of compulsory education resources in rural areas of Chongqing shows a spatial difference pattern of decrease from the urban center to the periphery. Third, the degree of government attention, level of social and economic development, level of transportation facilities, and natural geographical environment are all related to the availability of compulsory education resources, but the degree of influence varies. Location dominance, slope, and topographic relief are negative factors, whereas the remaining factors play a positive role. Fourth, regional socioeconomic development affects the distribution of regional compulsory education resource points and investment in compulsory education, which is the basis for affecting the availability of resources. Public transport routes and traffic site density are key indicators affecting the availability of compulsory education resources, and there is significant interaction between social and economic development and education investment. Guaranteeing investment in education, optimizing the distribution of compulsory education points, and strengthening public transportation are equivalent to providing financial support and government attention. These are at the core of guaranteeing improvement in the level of availability of compulsory education resources in rural areas.