Energy insecurity (the inability to meet household energy needs) disparately impacts certain populations and geographies. Previous studies have explored these relationships, but have not examined their spatial context due to data availability. I apply techniques from ArcPro’s Spatial Statistics Toolbox to a unique dataset of non-payment utility shutoffs in Minneapolis, MN. My results show evidence of clustering and varying spatial relationships with race, education levels, and public assistance.
