Arkansas is endowed with vast forest resources, but the number of wood-utilizing industries is declining. A cartographic representation of the location of existing industries is needed to understand their spatial distribution trends and identify possible factors relating to their site preferences. We obtained coordinates of these industries from ZipList5 Geocode and overlaid them onto spatial data, including Land-Use/Land-Cover (LULC) raster data model, county- and city-limits vector data model, county-level population, and average house listing price in ArcMap. We used ArcGIS spatial analyst tools to reclassify and vectorize the LULC model based on timber supply potential and then categorized the subsectors of wood-utilizing industries based on their numeric and/or financial dominance. Spearman's nonparametric correlation showed that county-level counts of industries were not significantly related to population (r = 0.193, P = 0.097) and city limits (r = 0.062, P = 0.600) but were significantly related to timber supply area LULC type (r = 0.284, P = 0.014) and average house listing price (r = 0.419, P < 0.0001). This study provides spatially based knowledge about site-selection preferences for wood-utilizing industries, which is critical for potential investors, resource administrators, and wood-industry businesses in Arkansas.