Background and objectives : Indonesia has faced the problem the prevalence of non communicable disease has increased with the prevalence of Type 2 Diabetes Mellitus (T2DM) and Hypertension recently rising. Spatial analysis gives more information about risk based on spatial variation making prediction more accurate. Knowledge about the risk of diabetes mellitus and hypertension in each district or city area can help health agencies carry out activities to prevent these two diseases effectively. This study aimed to determine the level of risk of diabetes mellitus and hypertension in each district or city area in South-Sulawesi Province, which can be done by identifying spatial cluster in the number of people with the disease, carrying out geospatial analysis and applying a Generalized Poisson Regression (GPR) model to determine the potential effect of diabetes mellitus on hypertension. Methods: The Local Moran’s I, the Getis-Ord, and regression analysis were applied to identify the characteristics involved. The methodswere performed based on T2DM and hypertension of the Social Health Insurance Administration Body_ data from 2017 and 2018 in South Sulawesi Province, Indonesia.  Results : The spatial variation of T2DM and Hypertension showed that the prevalence rate of T2DM tends to form a cluster hotspot and there is no cold spot and spatial outlier. Meanwhile, the prevalence rate of hypertension tends to occur randomly. In analyzing the relationship between T2DM and Hypertension, we utilized the Generalized poisson regression analysis and the Results showed that there is a significant relationship between T2DM and hypertension (p-value = 1.695e-10). Conclusions: The districts have the same characteristics but have different patterns in the distribution of T2DM and hypertension in South Sulawesi. T2DM and hypertension prevention programs in South Sulawesi Province need comprehensive monitoring and evaluation.