FSD3310 Welfare and Inequality in Finland 2016
The dataset is (B) available for research, teaching and study.
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Study title
Welfare and Inequality in Finland 2016
Dataset ID Number
FSD3310
Persistent identifiers
https://urn.fi/urn:nbn:fi:fsd:T-FSD3310https://doi.org/10.60686/t-fsd3310
Data Type
Quantitative
Authors
- Kainulainen, Sakari (Diaconia University of Applied Sciences)
- Niemelä, Mikko (University of Turku. Department of Social Research)
Other Identification/Acknowledgements
- TNS Global
Abstract
The study charted Finnish opinions on and experiences of welfare and inequality as well as feelings of satisfaction and happiness. TThe study was as part of a project entitled Tackling Inequalities in Time of Austerity (TITA) funded by the Strategic Research Council of the Academy of Finland (decision number: 293103).
First, the respondents were asked about their life satisfaction, mood, ability to achieve things, perceived status in society and satisfaction with the status.
Regarding income and personal finance, net income of the household and the ease of covering usual expenses with the income was surveyed as well as the monthly costs incurred by debt. The respondents were asked whether their parents had been unemployed or received social security benefits when they were in their teens and whether the respondents themselves had received social assistance in the previous year.
Feelings of loneliness, depression, failure and happiness in the previous 12 months were charted. The respondents were asked how often they did things they enjoyed, how well they took care of their health, how much they were able to spend time with people they liked and how satisfied they were with their neighbourhood in terms of built and natural environment and access to services.
The respondents were asked how much they cared about the well-being of different groups (e.g. the homeless, immigrants, refugees and asylum-seekers, children in poor families, the elderly) and whether they, a family member or a friend had experienced challenging life circumstances (e.g. homelessness, substance abuse, over-indebtedness, disability). Trust in other people was charted.
Finally, the respondents were presented statements about whether the differences in income, health, neighbourhoods and education were too high in Finland. Two statements about social security benefits were also presented, and the respondents were asked how well they had achieved the things they had wanted to achieve.
Background variables included the respondent's gender, year of birth, household composition, housing tenure, education, economic activity and choice of political party.
Keywords
costs; housing; income; satisfaction; social inequality; social security benefits; unemployment; well-being (health)
Topic Classification
- Social sciences (Fields of Science Classification)
- Equality, inequality and social exclusion (CESSDA Topic Classification)
- Social conditions and indicators (CESSDA Topic Classification)
Series
Welfare and Inequality in FinlandDistributor
Finnish Social Science Data Archive
Access
The dataset is (B) available for research, teaching and study.
Data Collector
- TNS Global
Time Period Covered
2016
Collection Dates
2016-04 – 2016-06
Nation
Finland
Geographical Coverage
Finland
Analysis/Observation Unit Type
Individual
Universe
Finnish-speaking Finns aged 18-79 residing in mainland Finland
Time Method
Longitudinal: Trend/Repeated cross-section
Sampling Procedure
Probability: Simple random
The initial sample was selected using single random sampling and it included 18,736 units. From the initial sample, a sample of 2,534 units was further selected with quotas based on age, gender and region. After the quotas were met, no more interviews were conducted.
Collection Mode
Telephone interview
Research Instrument
Structured questionnaire
Data File Language
Downloaded data package may contain different language versions of the same files.
The data files of this dataset are available in the following languages: English and Finnish.
FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.
Number of Cases and Variables
106 variables and 2534 cases.
Data Version
1.0
Completeness of Data and Restrictions
Questions that had open-ended responses containing exact job titles (k8a, k8b, k8c) were categorised. Variable on the respondents municipality of residence was removed from the archived data for privacy reasons.
Weighting
There is a weight variable (bv3) that weights the data in terms of age, gender and region. The region distributions used to calculate the weight can be found in variable bv2.
Citation Requirement
The data and its creators shall be cited in all publications and presentations for which the data have been used. The bibliographic citation may be in the form suggested by the archive or in the form required by the publication.
Bibliographical Citation
Kainulainen, Sakari (Diaconia University of Applied Sciences) & Niemelä, Mikko (University of Turku): Welfare and Inequality in Finland 2016 [dataset]. Version 1.0 (2019-06-11). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3310
Deposit Requirement
Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.
Disclaimer
The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.
Related Publications
Kainulainen, Sakari (2018). Tulojen ja onnellisuuden välinen yhteys Suomessa. Kansantaloudellinen aikakauskirja 1/2018, s. 57-70.
Kainulainen, Sakari & Saari, Juho (2019). Samassa veneessä: empatiakuilujen poliittinen ulottuvuus Suomessa. Politiikka 60:4, s.310-323.
Laaninen, Markus (2019). Luottavatko yksinäiset? : Yleistyneen luottamuksen väestöryhmittäiset erot yksinäisyyden kokemuksen mukaan. Turku: Turun yliopisto. Sosiologian pro gradu -tutkielma.
Eriarvoisuuden tila Suomessa 2024 (2024). Toim. Rajavuori, Anna. Kalevi Sorsa -säätiö. Helsinki: Into Kustannus.
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.