A new sampling method called two-stage cluster sampling was developed to deal with varying sizes of population units. It combines probability proportional to size in the first stage and ranked set sampling in the second stage. The method provides unbiased estimates of population mean and total, along with the variance of the mean estimator. Compared to a traditional sampling design, this new method showed higher efficiency when there is significant variation in the sizes of the first stage units.