Using a household appliance metering data set from the Swedish Energy Agency, this paper focuses on understanding the determinants of end-use electricity demand for Sweden. The focal point of the analysis is the estimation of end-use-specific income elasticity of electricity demand, for the first time for Sweden. A seemingly unrelated regression framework is used for understanding the determinants of end-use demand, with the end-uses being heating, kitchen, lighting, and residual. The main results of the analysis are: high aggregate elasticity (above 0.6), and very high income elasticity of electric heating (above 0.8). Other size-related variables (size of home, number of people) do not appear to have significant explanatory power. Overall, our analysis indicates that income is a key factor determining the demand for electricity, and to a much larger extent than usually considered