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Dataset Overview
Dataset title
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DISINTEGRATION: Tracking Europeans' opinions of Brexit and the EU: An EU-wide, six wave cross-sectional survey, 2017–2019
Dataset description language
English
Dataset Description
Brexit marked a turning point in EU history. For the first time an EU member state left the EU, leading to concerns about the stability of the EU as a whole. Indeed, Brexit carried significant spillover effects in the other EU member states, both in terms of the loss of cooperation gains that disintegration entails, and for the risks of political contagion. To understand whether and how such spillover effects materialized during the Brexit withdrawal negotiations, we repeatedly fielded an EU-wide, six-wave cross-sectional survey in 6-month intervals between July 2017 and December 2019. The survey includes information on public opinion across 28 EU Member States including questions probing respondents’ attitudes towards the EU, perceptions of the Brexit process, as well as general political attitudes and demographic characteristics. The identities of all participants are anonymized. The final data includes weights based on language region, age, gender and party affinity in order to ensure representativeness. The data were collected by placing questions on an EU-wide online survey omnibus (the “EuroPulse”) that was regularly conducted by Dalia Research. In each wave, the sample consists of a census representative sample of approximately 10’000 working- age respondents (aged 18–69) from all EU member states, with sample sizes roughly proportional to their population size. While the overall sample is representative of the EU population, samples from France, Germany, Italy, Poland, Spain, and the UK are also nationally representative.
Remarks about the documentation
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Version number
1.0
Embargo end date
Publication date
15.01.2024
Version notes
Version 1.0
Bibliographical citation
Walter, S. (2024). DISINTEGRATION: Tracking Europeans' opinions of Brexit and the EU: An EU-wide, six wave cross-sectional survey, 2017–2019 (Version 1.0.0) [Data set]. FORS data service. https://doi.org/10.48573/4bjp-yg30
DIP MD5 hash
9b6219aa621e44451bdf9ca6e485462a