Objective: To investigate the application status and influencing factors of statins in different populations in Baotou area, so as to provide data reference for making accurate prevention and control strategies to cardiovascular diseases (CVD). Methods: From June 2021 to September 2022, residents over 40 years old in Baotou area were randomly selected by multi-stage cluster and random sampling. The general information, cognition level of cardiovascular and cerebrovascular disease, and application of statins of the research objects were collected and registered by questionnaire. The participants were divided into the CVD group, CVD risk-factor group, and normal group. Logistic regression analysis was used to evaluate the CVD influencing factors in each group. Results: A total of 2 100 valid respondents were registered. The averase age was (58.7±11.0) years,ranging from 40 to 94, male accounted for 45.1% (n=948). Among them, 14.2% (298) had a history of cardiovascular and cerebrovascular disease (CVD), 49.5% (1 040) had no CVD but risk factors, and 36.3% (762) had no CVD and risk factors. The proportion of statins use was 14.8% in Baotou area, with 46.3%, 14.2% and 3.1% in the three groups respectively. Multivariate analysis showed that women in the CVD group were less likely to take statins. Advanced age, hypertension, diabetes and high CVD awareness were positively associated with application of statins. Multivariate analysis of the CVD risk-factor group suggest that people with older age and higher cognition level of CVD were more likely to use statin, while rural, smoking and obesity population were less likely to take stains. The proportion of reasons for taking statins in the normal group were self-awareness of taking statins＞introduction of relatives and friends＞advertising and media publicity＞doctor’s prescription. Conclusion: In Baotou area, the application of statins in the secondary prevention and primary prevention of cardiovascular and cerebrovascular diseases is not standard. There were great differences among different subgroups of population, and there are overmedication in the normal population.