The number of buildings are counted to show the most frequent is the multi-family building type (Fig. 1).  The data was plotted to view the distribution, calculate the mean and focus on the poorest performing quartile (Fig. 2).  The analysis compares peer multi-family  buildings  aka "typology", to prioritize energy projects and quantify policy interventions. The methodology will uses counting and plotting the distribution of buildings be energy use intensity (EUI) in kilo British thermal units (kBTU) per square foot of the building floor space. The exogenous factors to explores are measurements of building occupancy, location, age and others to characterize correlative indicators of poor performers to focus stakeholder's attention.