A key component to solving many engineering challenges of UAS integration into the National Airspace System is the ability to state the numbers of forecasted UAS by airframe and mission/operation type being performed within discrete airspaces. UAS growth is a function of locational based businesses and public use needs, in addition to increases in UAS uses and future aircraft types. Being able to forecast this growth requires time consuming and highly detailed configuration and model development, consensus between different organizations, and flexible tools tunable to changing perspectives. Availability of a common cloud based application integrating varying growth curves and linking geospatial aspects of UAS operations will greatly enhance and stabilize system level analysis of issues such as: radio spectrum usage, safety case analysis, economic forecasts, etc. Individuals and organizations would benefit in using a community centric tool with the ability to shared data and projections while still allowing individual researchers to set up paradigms for their own, unique forecasts. The overall project objective is to design, develop, and study the feasibility and potential benefits of a UAS Demand Generator for Discrete Airspace Density (UAxpan) system which allows for common solutions in complex forecasts of growth and uses of numerous unmanned systems and mission/operational types. This will be accomplished by developing and testing a prototype system and performing the key functionality objectives using real industry, UAS, geographic, and NAS data.