<p>A project funded by the Defense Logistics Agency (DLA) and managed by the American Foundry Society (AFS) as part of the American Metalcasting Consortium (AMC) led to the development of a web-based casting alloy data search tool for design and simulation engineers. The search tool provides engineering properties and in most cases fatigue properties with the supporting pedigreed data, such as chemistry, mold material, casting process, section thickness, type of test bar, and heat treatment in contrast to the typical handbook static properties data with no or little supporting pedigree information. The improved data will enable better casting part designs capable of delivering several long-term objectives, i.e., longer service life, lower scrap, lighter weight, and better performance. The casting alloy data search (CADS) online tool provides current and qualified information generated using the latest methods and disseminates this information in a user-friendly format to both users and manufacturers of castings. The latest effort presented in this paper is focused on developing industry best practice data driven design allowable property values using standard Metallic Materials Properties Development and Standardization (MMPDS) methods for 24 new alloys (two copper-base, four aluminum-base, six iron-base, and twelve steel-base grades) from more than 10 foundries. The AFS foundry members provided the data while this paper’s author, Shah, performed the data analysis using the established statistical method which considers heat and lot variability within a foundry as well as from one foundry to another, for the same alloy grade.</p>