This thesis reports the procedures, logistics and findings of an assessment of damaged structures following Super Typhoon Haiyan (also known as Hurricane Yolanda) in the Philippines. The investigation project entailed the coordination of the logistics for field investigation and the post-investigation data analysis. Specifically, this thesis reports the development of a basic condition rating method, a structure localization method via geo-tagged pictures, and the development of an open forum project website for remote analysis.To enable remote access of interested studies, a data sharing website (the Philippines Hurricane Yolanda Structural Analysis (PHYSA) Project Site) was developed by the Mosaic IT group at the University of North Carolina at Charlotte (UNCC). The site is housed on a server running a Linux OS, with Apache, MySQL and PHP (LAMP). The rating technique ranked damaged conditions based on a 0 to 3 score. 148 structures were analyzed using the rating technique. Unlike previously published condition ratings, the technique does not include functional assessments such as mechanical and electrical systems and does not directly consider habitant safety. Thousands of pictures were taken with GPS cameras to facilitate a macro analysis of the damage modes. To perform an accurate analysis, steps were taken to locate each structure of interest (SOI) via centroid calculations to reduce the margin of error intrinsic to GPS. These images were made available on the project website. The outcomes indicate that wind damages dominated as the major cause of failures (53%) and that roof damage is the most significant of the damage modes (24%). The rating gives a first order assessment of the damaged conditions of the structures pertaining to loading effects (wind, water or combined) from Super Typhoon Haiyan. As Haiyan has the highest wind speed on record and may have significant implications to future events pertaining to climate changes, this study also reviewed the rapidly increasing body of knowledge regarding Haiyan.