FSD3949 Barometer for Swedish-speaking Finns B12/2023

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Tekijät

  • Lindell, Marina (Åbo Akademi University. Social Science Research Institute)
  • Finnish Research Infrastructure for Public Opinion (FIRIPO)

Asiasanat

attitudes, citizen participation, elections, institutions, parliamentary elections, politics, voting, voting behaviour

Sisällön kuvaus

The data was used to map the voting intentions of Swedish-speaking Finns in the 2023 parliamentary elections, as well as opinions on politics and statements concerning citizen participation. The data was collected as part of the Citizen Panel of Swedish-speaking Finns (Barometern), which is part of The Finnish Research Infrastructure for Public Opinion (FIRIPO).

The survey began by examining the respondents' voting intentions for the 2023 parliamentary elections. They were asked, for example, whether they intend to vote, whether the party or the candidate is more important when voting, and what factors influence their choice of candidate and party. Next, the respondents were asked for their opinions on political statements, such as 'decision-makers should be bound by voters' demands, even if it threatens future generations' and 'political leaders should focus on solving future problems, even if it means additional costs for current taxpayers.' Additionally, the respondents were asked to estimate how much they themselves—and Finns in general—would be willing to sacrifice to combat climate change.

After this, the respondents were asked whether they had engaged in various forms of civic participation within the past four years, or whether they could imagine doing so—for example, by signing a citizens' initiative. They were also asked about their trust in different institutions and whether people in general can be trusted. Finally, the survey explored how well certain statements described the respondents themselves. Examples of such statements included: 'I quickly notice if someone in a group feels uncomfortable' and 'Others often say I'm cold, even though I don't always understand why.

The background variables in the dataset are gender, language, year of birth, age, level of education, labor market status, region, classified age, education classified into three categories, self-assessed health status, marital status, religiosity, income level, type of residential area, and whether the respondent has children or grandchildren.

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