In this paper, we use a variety of different techniques to overcome the measurement error problems with the CE. First, we use data from the diary component of the CE, focusing on categories where measurement error has been found to be less of an issue. Second, we explore inequality measures within the CE using the value of vehicles owned, a consumption component that is considered to be measured well. Third, we try to account directly for the non-classical measurement error of the CE by comparing the spending on luxuries (entertainment) relative to necessities (food). This is similar to the recent approach taken by Browning and Crossley (2009) and Aguiar and Bils (2011). Finally, we use expenditure data from the Panel Study of Income Dynamics to explore the dynamics of alternative measures of consumption inequality. All of our different methods yield similar results. We find that consumption inequality within the U.S. between 1980 and 2010 has increased by nearly the same amount as income inequality.