FSD3743 Welfare Differences between Population Groups and Localisation of Welfare Problems 2020

The dataset is (C) available for research only (including Master's, doctoral and Polytechnic/University of Applied Sciences Master's theses). The dataset may not be used for teaching, study (e.g. seminar papers, essays) or other theses (Bachelor's theses or equivalent).

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Keywords

commodities, consumer goods, consumption, employment, expenditure, housing, income, poverty, social security, social security benefits, standard of living, well-being (health)

Abstract

The aim of the survey was to get a picture of Finns' financial well-being. Respondents were first asked about their housing situation and their satisfaction with their current standard of living. Respondents were asked to assess the impact of the covid-19 pandemic on their employment and financial situation, among other things.

Respondents assessed their own family's financial situation. Respondents were asked about the necessity or non-necessity of various goods and services for today's Finnish adults. Respondents were also asked whether they considered certain goods and services necessary for themselves. Among other things, these included a mobile phone, a car, clothing, eating out, home furnishings, getting a haircut, home insurance, and health services. Families with children were asked whether they had access to regular activities or a own bedroom for their school-age children, for example.

Respondents rated their own health and satisfaction with their life situation. Respondents reported on how financial matters are handled in their family and whether there are income differences between spouses. Attitudes towards social security benefits and poverty were explored, for example by asking about income support clients or those in need of income support. They were also asked about the minimum income for one adult and whether the minimum amount of income support is adequate as it is.

Background variables in the data include year of birth, gender, type of housing, size of household and number of children, region of residence at age 14 and at present, highest level of education, main activity of self and spouse, socio-economic status and monthly income of the whole family.

Study description in machine readable DDI-C 2.5 format

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