 This paper proposes a new method called Stabilized Cridging, SK, for mapping disease rates. This method uses a combination of the Empirical Bays, EB, and Cridging, KR, methods to reduce the instability of disease rates in small population areas. SK was compared against three other methods, EB, KR, and Traditional Cridging, TK. SK outperformed the other methods in terms of accuracy and stability. It also produced smoother maps with better resolution and was able to identify hot and cold spots in the incidence rates of oral cancer in Taiwan. Therefore, we recommend the use of SK for mapping disease rates. This article was authored by Che Chi Su, Direon Tsai, Xi An Su, and others.