Drawing on a linear mixed-effects statistical model, results explore how approximate building age is related to annual residential energy consumption across ABS statistical areas (SA2s). The model considers the influence of building construction (roof and wall types), building floor area, equivalised income, tenure type, cooling degree days and climate zone in assessing that influence. The model is built on ABS data Household Energy Consumption Survey (4670.0) data and Geoscience Australia National Exposure Information System (NEXIS 2017 v9) data. The full input dataset is included as part of this asset release.

It is important to note that results are based on energy consumption data from 2010-2012 and that potential key drivers of energy consumption change (such as appliance energy efficiency) have not been included.