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Objectives: This study examines the spatial and temporal patterns of hypertension prevalence and treatment, while also suggesting a public health intervention strategy for hypertension management. Methods: We utilized the hypertension prevalence and treatment rate from the Community Health Survey data collected between 2011 and 2020. To analyze the spatio-temporal patterns of hypertension prevalence and treatment, spatial autocorrelation and hotspot analyses were performed. Results: The spatial autocorrelation analysis revealed regional hypertension prevalence clusters between adjacent regions. For the previous five years, the hotspots with a high prevalence of hypertension were 28 si-gun-gu, which were adjacent to each other, including 16 regions in Gangwon, four in Gyeonggi, two in Incheon, and six in Chungnam. The treatment rate of hypertension showed a random pattern, irrespective of regional and spatial proximity. Conclusions: The results highlight the cooperative approach from adjacent regions by reflecting regional and spatial effects for effective hypertension management. In addition, it is necessary to implement customized interventions for regions with a low treatment rate.