EV Adoption Behavior & Range Anxiety is a synthetic dataset of electric vehicle (EV) purchasing behavior designed to help analyze the impact of demographic, geographic, and psychological factors on EV purchasing behavior and range anxiety. It is primarily used for areas such as purchase intention prediction and range anxiety level classification. This dataset contains 10,000 synthetic data points reflecting potential car buyers, without any real-world information. The data covers demographic characteristics, driving habits and infrastructure features, psychological factors, and the target variable. Approximately 2% of missing values were intentionally introduced into the dataset for practicing data cleaning and missing value imputation.

Data fields:

Besides the unique identifier Buyer_ID, there are 14 valid fields:

• Demographic characteristics: age, sex, annual income, and city type
• Driving habits and infrastructure characteristics: daily commute distance, number of vehicles owned by the family, current vehicle model, number of charging stations near the residence, number of charging stations near the workplace, feasibility of home charging, and availability of vehicle purchase subsidies.
• Psychological factors: Level of environmental awareness
• Target variables: range anxiety level, purchase intention