Objective: The study aims at identifying useful characteristics with self-measured individual systolic blood pressure (SBP) and informing personalized hypertension case management. Method: Firstly, the study downloaded blood pressure measurements from the online database maintained by iFLYTEK and ambivalent temperature from the official website of Anhui Provincial Meteorological Bureau. Then the study used the graphics function of WPS spread sheet in making four types of scatter plots. Finally, the study performed manual examination of all scatter plots and picked up 4 typical plots for each of the four types of plots. Each of these plots represents the SBP features of one of the 16 individual hypertension patients coded as P1 through to P16. Result: Each of the four types of scatter plots picked up above presents distinguished patterns. Some of the plots present an increasing trend; while others, relatively stable, fluctuating and decreasing trend. Some plots display apparently greater range of variations than others. Some plots show vertical blank zones; while other, horizontal or no blank zones. Conclusion: Great variations exist between individual hypertension patients and traditional way of estimating aggregate patterns or trends often masks these differences. The current study should inform future personalized hypertension case management.