A steady increase in poverty levels, as well as a long wait-list for purchasing affordable homes leads to an urgent need for more homes to be built. A suitability raster was created to identify key regions where these homes could be developed. This MCE analysis was conducted in order to identify optimal locations for siting affordable housing in the City of Hamilton. The analysis was based off of seven criteria and two constraint factors that are indicative of good affordable housing. A cost-surface was created for each factor, on which the proximity of features to vacant land sites was accounted for. These surfaces were converted into an overall suitability raster, on which all vacant land sites where given a suitability score based on their proximity to the variously weighted features. After examining the suitability raster, it became clear that downtown Hamilton contained the most ideal site locations; the ten most suitable sites were all located in this downtown core. The close proximity of multiple amenities along with strongly weighted recreation centers and schools provided this area with a high beneficial cost, leading to the highest suitability. This MCE analysis was limited mainly by the subjectivity of weighting criteria factors which caused points to move slightly from their true position. However, this analysis still gives a good indication of optimal affordable housing sites in Hamilton. These results could potentially be used to site affordable home by construction companies in Hamilton.