This paper proposes the asymmetric rim weighting algorithm as an alternative to rim weighting (also called raking). The latter is currently a popular method for grossing up the results of a sample survey, but asymmetric rim weighting produces results that are more efficient and have fewer high weights, with little or no increase in processing time.