This dataset was collected from university students using a random sampling technique, ensuring a representative sample. It comprises 16 columns, incorporating both numerical and categorical variables, to provide a comprehensive view of the data. This dataset is particularly valuable for students of public policy, political science, and sociology, offering a robust foundation for analyzing electoral behaviors. The primary objective of this dataset is to facilitate a descriptive study of the voting patterns observed in the 2024 election, enabling detailed statistical analysis, data mining, and hypothesis testing. By utilizing advanced analytics and machine learning techniques, researchers can uncover intricate patterns and correlations within the dataset, contributing to a deeper understanding of the socio-political landscape.