MxV Rail (formerly TTCI) analyzed the track geometry degradation of multiple datasets by statistically distributing the foot-by-foot surface data from entire track segments. The goals of this study include helping visualize degradation from a broad perspective and aiding track geometry degradation analyses through other methods. This Technology Digest addresses specific topics: distributing track geometry in terms of statistical percentiles, and identifying scheduled and unscheduled maintenance and exploring appropriate inspection intervals. In North American railroads, regular track inspection is required to ensure both track geometry and component conditions meet railroad and regulatory standards. Technological innovations over the past few decades have allowed railroads to perform track inspections using automated inspection vehicles that measure track geometry and are increasingly incorporating additional inspection technologies such as rail cross-sectional profiles and ground penetrating radar (GPR). These innovations consolidate multiple independent track inspection data into a single dataset and allow frequent track-based inspection intervals. Track-based…