A spatial analysis was used to examine location of Mississippi’s forest products manufacturers and identify potential forest business clusters. A Poisson regression was used to examine the impact of transportation infrastructure, labor and availability of raw materials on location of these manufacturers. Spatial analysis indicated that manufacturers tended to cluster and identified four potential forest business clusters. Regression analysis indicated that volume of harvested sawlogs had a positive impact on location of primary and secondary forest products manufacturers, whereas volume of harvested pulpwood had a positive impact on location of only secondary forest products manufacturers. Presence of four-lane interstate highways was associated with decreased location likelihood for secondary manufacturers, whereas railway presence increased location likelihood. Presence of primary manufacturers had a positive impact on location of secondary manufacturers, whereas labor force also had a positive impact on location of secondary forest product manufacturers.