Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK
Konstantinos Pitas

TL;DR
Europepolls is an open, comprehensive dataset of country-level opinion polling data for the EU and UK, designed to facilitate research on voting behavior and political trends.
Contribution
It provides a publicly accessible, preprocessed dataset filling gaps left by proprietary and limited-duration datasets, enabling advanced analysis with modern AI tools.
Findings
Dataset covers extensive historical polling data
Accessible in raw and preprocessed CSV formats
Supports research on multimodal influences on voting behavior
Abstract
I propose an open dataset of country-level historical opinion polling data for the European Union and the UK. The dataset aims to fill a gap in available opinion polling data for the European Union. Some existing datasets are restricted to the past five years, limiting research opportunities. At the same time, some larger proprietary datasets exist but are available only in a visual preprocessed time series format. Finally, while other large datasets for individual countries might exist, these could be inaccessible due to language barriers. The data was gathered from Wikipedia, and preprocessed using the pandas library. Both the raw and the preprocessed data are in the .csv format. I hope that given the recent advances in LLMs and deep learning in general, this large dataset will enable researchers to uncover complex interactions between multimodal data (news articles, economic…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Computational and Text Analysis Methods · Electoral Systems and Political Participation
