Study title

Free-time Residence Barometer 2008

Dataset ID Number

FSD2503

Persistent identifier

urn:nbn:fi:fsd:T-FSD2503

Data Type

Quantitative

Authors

• Nieminen, Markku (Statistics Finland. Interview and Survey Services)

Abstract

The survey described Finnish leisure-time housing in 2008. The questions charted the use of the free-time residence, as well as its standard of equipment, water supply, sewerage, and waste disposal. In addition, some questions investigated the use of services in the municipality the free-time residence is located in. Leisure-time housing in Finland is a large phenomenon with deep historical and cultural roots, and it represents a significant part of domestic tourism. In this survey, the term "free-time residence" refers to rural recreational residences (holiday homes, cottages) mainly used during weekends and holidays, especially during summertime.

The use of free-time residence was charted by asking the respondents for example about the distance between their free-time residence and permanent residence in kilometres and hours, the location of their free-time residence, and its suitability for year-round habitation. They were also asked to indicate the number of days their free-time residence had been used each month in the last 12 months, as well as the number of people who had spent at least one night at the free-time residence. Willingness to rent out the free-time residence to other people was also queried. The respondents were asked to tell whether their use of free-time residence had increased or decreased in the last three years, and to estimate whether it will increase or decrease in the next three years. In addition, they were asked whether a household member had commuted to work from or worked at the free-time residence, and whether they themselves were willing to do remote work at the free-time residence.

Questions related to standard of equipment covered the total floorage, access to electricity, heating, and various equipment in the free-time residence. Views were also probed on the accommodation capacity, improvements made in the last 12 months, and future improvements. In addition, the respondents were asked to rate the overall state of the main building.

Water supply was investigated by asking the respondents how they obtained drinking, cooking, and washing water. In view of waste disposal, they were asked how they dealt with waste water from the sauna, what type of outdoor latrine they had, and how the waste disposal at the free-time residence was organised in general.

Related to services, the respondents were queried about the distance to the nearest grocery store, health centre, library, post office, bus stop, and post box. The respondents themselves as well as their household members were asked whether they had plans to officially move to the municipality their free-time residence was located in within the next three years. Satisfaction with various services available in the proximity of the free-time residence was canvassed, as well as willingness to buy various services. In addition, the respondents were asked whether they usually bought groceries and other goods and services from a store/company located in their municipality of residence, along the way, or in the municipality their free-time residence was located in.

Some questions charted the use of money. The respondents were asked about the average amount of money used per day spent at the free-time residence, and the amount of money used in building or repairing, other goods (e.g. fuel, furniture, gardening tools), and leisure time services in the last 12 months. In addition, the annual amount of various user charges related to the free-time residence (e.g. real property tax, private road fees, harbour and quay dues, and waste collection, electricity, waste water, and telephone charges) was examined.

Background variables included the respondent's household size and income, region where the free-time residence is located in, and year of construction of the free-time residence.

Keywords

expenditure; holidays; labour force; leisure time; local community facilities; second homes; telework; waste disposal and handling; water supply

Topic Classification

• Social sciences (Fields of Science Classification)
• Housing (CESSDA Topic Classification)
• Leisure, tourism and sport (CESSDA Topic Classification)

Series

Free-time Residence Barometers

Distributor

Finnish Social Science Data Archive

Access

The dataset is (B) available for research, teaching and study.

Data Collector

• Nieminen, Markku (Statistics Finland. Interview and Survey Services)

Data Producers

• Tilastokeskus. Haastattelu- ja tutkimuspalvelut
• Työ- ja elinkeinoministeriö. Saaristoasiain Neuvottelukunta

Time Period Covered

2008

Collection Dates

2008-10 – 2008-12

Nation

Finland

Geographical Coverage

Finland

Analysis/Observation Unit Type

Household

Universe

452,000 Finnish free-time residences included in the official register of free-time residences in 2007 and owned by private persons (excluding free-time residences with no owner information, and those owned by foreign owners or the heirs collectively)

Time Method

Longitudinal: Trend/Repeated cross-section

Sampling Procedure

Probability: Stratified

The target population consisted of the about 452,000 Finnish free-time residences owned by private persons in the Statistics Finland's register of free-time residences in 2007. The sample consisted of 5,000 free-time residences randomly sampled from all regions, according to their relative proportions of all free-time residences in Finland.

Collection Mode

Self-administered questionnaire: Paper

Research Instrument

Structured questionnaire

Response Rate

55.4

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

179 variables and 2629 cases.

Data Version

2.0

Weighting

There are two weight variables in the data, the increase weight (paino_1) and the analysis weight (paino_2). With weight variables, the sample can be weighted to correspond with the whole target population. If a case (free-time residence) in the data is, for instance, given a weight of 150, it represents 150 Finnish free-time residences. In addition, weighting can be used to partly correct non-response bias. Weighting has been carried out on the regional level, because the strata used in the sampling were formed from regions. The analysis weight is almost identical to the increase weight - it has only been scaled so that the sum of the weights is the number of accepted responses (2,629) and the mean of the weights is 1. One of the weight variables should always be used in tabulating the data.

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

Nieminen, Markku (Statistics Finland): Free-time Residence Barometer 2008 [dataset]. Version 2.0 (2018-07-19). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD2503

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

Nieminen, Markku (2009). Kesämökkibarometri 2009 [verkkodokumentti]. Helsinki: Tilastokeskus & Työ- ja elinkeinoministeriö. http://www.tem.fi/files/22175/Mokkibaro08_raportti.pdf [viitattu 26.1.2010]

Loponen, Kaisa & Mäenpää, Ilmo (2011). Etelä-Savon materiaalitase. Etelä-Savon loppuraportti. Oulu: Oulun yliopisto. Thule-instituutti. Etelä-Savon elinkeino-, liikenne- ja ympäristökeskuksen julkaisuja 1/2011.

Mökkibarometri 2016 [verkkodokumentti]. Helsinki: FCG Finnish Consulting Group Oy & Maa- ja metsätalousministeriö: Saaristoasiain neuvottelukunta.

Kujala, Susanna; Hakala, Outi; Törmä, Hannu; Rantanen, Manu; Czarnecki, Adam; Hyyryläinen, Torsti (2018). Etelä-Savon vapaa-ajan asumisen aluetaloudelliset vaikutukset nykytilanteessa ja tulevaisuuden skenaarioissa. Helsingin yliopisto Ruralia-instituutti. Raportteja 187. https://helda.helsinki.fi/handle/10138/260557

Räisänen, Otto. 2018. Sähköenergiankulutuksen ennustemallin kehittäminen avoimia tietokantoja hyödyntäen. Diplomityö. Lappeenranta University of Technology. http://urn.fi/URN:NBN:fi-fe2018121150495

Voutilainen, O., Korhonen, K., Ovaska, U. & Vihinen, H. 2021. Mökkibarometri 2021. Luonnonvara- ja biotalouden tutkimus 47/2021. Luonnonvarakeskus. Helsinki. 87 s. http://urn.fi/URN:ISBN:978-952-380-237-7