The objective of the study was to assess the extent of the quality of rural roads (in kilometers) and to develop qualifications with trafficability criteria for roads in the immediate geographical region of Marechal Cândido Rondon, Paraná, Brazil. The use of data science methods proved to be highly effective in achieving this goal. The data collection process consisted of conducting interviews with the public managers of municipalities responsible for rural roads, collecting data in the field through probability sampling to evaluate existing road conditions, and then classifying the roads as excellent, good, regular, bad, or terrible. The results showed the presence of relevant differences in the criteria for classifying rural roads, thus requiring infrastructure adaptation as well as investments in appropriate technologies for vehicular traffic, and indicated that the majority of rural roads fall into the regular category, with nonconformities due to lack of technical regulations, deterioration of the asphalt network, and a high incidence of potholes on dirt roads. Additionally, the research indicated the need for a manager with a supervisory role. Finally, it was found that creating a database to store information on the route, terrain, slope, and pathologies found on the rural roads studied is necessary to efficiently manage the maintenance of rural infrastructure and contribute to sustainable and regional development.