Recent years have seen a rise in computation power, storage and opensource data has become more accessible. This results in new opportunities for microsimulation models. Most of these models require a realistic population but the data for this is usually not available. Therefore, population synthesis is used to generate the statistical equivalent of the real population. Since the majority of trips, tours and activity schedules are centered around the home end. It is also important to not only generate a synthetic population but to also attach these households to actual houses. A geodata source is needed for this and OpenStreetMap can be a viable data source. This research focuses on developing a proof of concept of a method for population synthesis at the fine scale of neighborhoods and using OpenStreetMap data to add spatial units to this population. The methodology is developed through literature and implementation in a case study.