This project examines location, population, and demographics to recommend closing the most under-resourced Starbucks store in Riverside, California. The ArcGIS tools used to model the service/catchment areas and obtain the demographics were the OSM toolbox, network analysis, and geoprocessing. Network analysis was applied to the service area, route, and origin-destination cost matrix layers (O/D). The impedance of a three-minute drive time was applied to the service and route layers. The intersect and dissolve geoprocessing tools captured the three-minute drive time service area and shows the overlapping areas. The map results and the correlated demographics provide insight into service area populations and median household income. The O/D cost matrix shows the drive time from the store recommended for closure to all the other Starbucks locations.