The need for a reliable and equitable means of measuring population disparity and providing guidelines on implementation of policy decisions has necessitated the search for a precise estimating scheme for poverty indicators. The existing methods for estimation of these indicators are inadequate. In this study, a multiplicative semiparametric bias reduction density function is proposed to offer robust estimators for these indicators by means of generalized linearization techniques.