Buckle tracks are one of the most common and severe track-related causes of derailments in the U.S. These are caused by the buildup of compressive stresses in the rail (due to thermal expansion) overcoming the tracks lateral strength, resulting in the track to buckle to release those stresses. While management of rail stresses in continuously welded rail (CWR) tracks is still considered one of the most important research topic areas within the industry, it only looks to improve the demand side of the buckle track equation. With recent developments in technology and growth in adoption of those by the rail industry, infrastructure owners now have access to a substantial amount and variety of data related to their track infrastructure condition. Many of these data, and the information extracted from them, are direct inputs into the most common buckle risk modeling methodologies available in the industry. This research project aims to leverage these data and methodologies to estimate the track’s propensity to buckle linearly on a tie-by-tie basis along an entire rail corridor