Eurobarometer 71.3: EU Public Opinion on Globalization, Identity, and Welfare
by Antonis Papacosta / European Commission
Available on 1 platform
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Description
Eurobarometer 71.3 is a public opinion survey conducted in June-July 2009 across the European Union. It captures citizen attitudes on standard life satisfaction and political discussion measures, with a detailed focus on six major topics: globalization, personal values, European identity, the future of the EU, social welfare, and European elections. The dataset likely contains individual-level responses on knowledge of and trust in EU institutions, perceptions of European integration, and views on societal change.
Use Cases
Analyzing correlations between national identity and support for European integration based on identity questions.
Modeling public trust in EU organizations relative to perceptions of economic benefit from membership.
Tracking demographic differences in opinions on globalization's impact on local communities and companies.
Studying public priorities for social welfare and pension system reforms ahead of European elections.
Strengths
Covers six major, well-defined topical areas providing structured insight into EU public opinion.
Has an Open Access (green) license, facilitating reuse and analysis.
Produced by the authoritative European Commission, ensuring a standardized, official survey methodology.
Limitations
Key metadata such as row count, column names, and specific file formats are unknown across all sources.
The exact date of the last update is not provided, limiting assessment of data currency.
The description is repeated verbatim across multiple platform entries, suggesting potential metadata scraping rather than direct curation.
Provenance
Source
European Commission
Collection Method
Likely contains data gathered through standardized public opinion surveys (Eurobarometer) administered to a sample of EU citizens.
Time Range
June-July 2009
Geography
European Union member states
The dataset is listed on multiple platforms with identical descriptions but sparse technical metadata. Users should verify the actual data structure and completeness from the primary source.