Hypertension is the most common chronic disease in the Chinese population. The study analyzes the differences of hypertension in different regions in China from space, analyzes the influencing factors of the disease, and the spatial distribution of different populations. The data comes from CHARLS Harmonize. 22,310 interviewees were selected to respond effectively. Single-factor chi-square test and binary logistic regression were used to analyze the factors affecting hypertension. BMI, urban

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... rural areas, jogging 1KM, smoking, drink, gender, education status, public medical insurance and hypertension chi-square test are significant, BMI (OR=1.193 95%CI 1.182~1.203), age (OR =1.049, 95%CI 1.045~1.053). There is a spatial difference in the prevalence of hypertension in China, which provides a spatial reference for the control and prevention of different regions, so as to better prevent and treat patients with hypertension. Keywords: hypertension, spatial difference, CHARLS data