approach of using household rather than the individual as the unit of analysis. Household level measures are gender blind since they ignore intra-household differences in resource allocation which have been shown to differ along gender lines. In this study we use new data from the Karnataka Household Asset Survey (KHAS) to construct an individual level multidimensional poverty measure for Karnataka, India. Our results show that an individual level measure can identify substantial gender differences in poverty that are masked at the household level. We also find a large potential for misclassification of poor individuals as non-poor when poverty is not assessed at the individual level.