There are differences in economic, geographical, and social conditions in Korea, and for this reason, there are different characteristics in each region. Whatever the comparative object is, some areas are relatively well structured, while others are relatively inferior. The study of the relative differences in these regions has been progressed in various ways, but the study on the development of indicators that can evaluate the relative SOC stock level in aspect of transportation is the initial step. The study showed that the total average level focusing on road facilities, which is the base of ground transportation among the SOC fields in Korea, is derived from the domestic level of road stock in each region by using socioeconomic indicators and the deviation between actual road stocks and expectations were estimate the road level in each region. The total length of the roads and the extension of the pavement of the roads were set as a dependent variable for a total of 226 administrative districts of the nation and we set up a model that can calculate the facility level of road stock for each administrative district. As an independent variable, we set the variables that can represent the economic, geographical, and social conditions of the whole country. The domestic average trend line of the road extension, which is regressed by population, area, number of establishments, number of employees, was found and the position of each relevant location was ranked. As a result of the analysis, the model with the extension of the pavement of the roads excluding highway showed the best fit and explanatory power of the model, and the administrative area, the urban area, the local government budget of scale, and the number of the workers were influential variables. In addition, implications were derived through comparison between the ranks which results from satisfaction ratio and ranks of ratio of the roads which is an existing road related indicator. The results of this paper are expected to be of academic value in that the differences were identified in the level of road facilities by using various socioeconomic indicators. Also, it will be a policy reference to establish a comprehensive master plan when selecting investment priorities for road projects on the basis of ranks of satisfaction ratio for road facilities.