Rents of dwellings: documentation of statistics
Basic data of the statistics
Data description
Statistical population
The rent level of dwellings rented by private persons is described with the help of administrative register data. Then rents of dwellings are deduced from rents paid by persons having received housing allowance. The dwelling in which the person receiving housing allowance lives is combined with the building and dwelling data of the Digital and Population Data Services Agency. The Digital and Population Data Services Agency's data on buildings and dwellings are used to conclude so-called non-subsidised rental dwellings that are divided into dwellings owned by companies and private persons. The Tax Administration's register of owner-occupied dwellings and data on dwellings freed from restrictions related to government-subsidised rental dwellings are used in the deduction. In practice, company-owned dwellings have been first defined from non-subsidised rental dwellings and the rest of the rental dwellings are defined as rental dwellings owned by private persons. Rental dwellings owned by private persons are dwellings where the owner does not live, but according to the Tax Administration the owner has rental income. In addition, private rental dwellings include dwellings whose owner is not an enterprise and which the tenant has reported as a rental dwelling with a change of address notification.
Statistical unit
Unit of measure
Base period
Reference period
Reference area
Regional classifications of different levels are used in the statistics. The most detailed classification level is the sub-area classification of urban areas, which is based on the post code classification according to the price level and location of old dwellings in housing companies. In addition to municipalities, regions and major regions, different combination areas, such as Greater Helsinki and satellite municipalities, are used in the statistics. The Greater Helsinki area includes Helsinki, Espoo, Vantaa and Kauniainen. The satellite municipalities are Hyvinkää, Järvenpää, Kerava, Kirkkonummi, Nurmijärvi, Riihimäki, Sipoo, Tuusula and Vihti. A detailed regional classification can be found on the homepage of the statistics under Classifications.
Sector coverage
Time coverage
The quarterly statistics on rents were last reviewed in 2010. Then the observation data started to monitor the development of the rent of the same dwelling over time. The data processing and calculation of the annual statistics were revised in 2011.
The publication of the statistics preceding the present quarterly statistics ended with the last quarter of 2018. As regards the annual statistics, the last release comprised the annual data for 2018.
For comparability reasons, the average rents and index for 2015 to 2018 were calculated retrospectively with the revised method.
Frequency of dissemination
Concepts
Dwelling
Floor area
The following are not counted in the dwelling's floor area: garage, cellar, sauna facilities in an unfurnished basement, unheated storage space, balcony, porch, veranda and attic space unless used as a living space.
The floor area of a freetime residence refers to its gross floor area.
Government-subsidised dwelling
Hitas dwelling
Market price
Monthly change
New tenancy
Nominal price index
Non-subsidised dwelling
Number of rooms
Quarterly change
Real price index
Rent
Rental dwelling
Type of financing
A government-subsidised dwelling is a dwelling produced with government ARAVA loans, in which the rent is determined by the cost correlation principle. Most of government-subsidised dwellings are owned by municipalities.
Non-subsidised dwellings are other than government-subsidised dwellings.
Weight structure
Classifications
Accuracy, reliability and timeliness
Overall accuracy
The data are corrected so that clearly erroneous cases are first removed from the data. After this, observations are removed from the data if they are below the lowest five per cent or above the top two per cent based on the distribution of rent per square metre.
Timeliness and punctuality
Timeliness
Punctuality
Comparability
Comparability - geographical
Comparability - over time
The quarterly statistics on rents were last reviewed in 2010. Then the observation data started to monitor the development of the rent of the same dwelling over time. The data processing and calculation of the annual statistics were revised in 2011.
The publication of the statistics preceding the present quarterly statistics ended with the last quarter of 2018. As regards the annual statistics, the last release comprised the annual data for 2018.
For comparability reasons, the average rents and index for 2015 to 2018 were calculated retrospectively with the revised method.
Students started receiving general housing allowance in August 2017. The change is visible in the housing allowance data in that students as a separate category was removed and all housing allowance customers are now classified either as recipients of general housing allowance or of housing allowance for pensioners. In the previous housing allowance data, the data on students differed from the data of recipients of general housing allowance. The above-mentioned impact of data harmonisation has been eliminated with statistical methods. In the time series of rents, the data change may locally appear as deviating behaviour of the index in the period concerned.
Coherence - cross domain
Eurostat publishes rent data on Finland based on the data of the Consumer Price Index.
The method of the rent index is updated in connection with index revisions and methodological revisions may cause breaks in the time series. In place of the rent index, it is more recommended to use the cost-of-living index for tenancy agreements. The benefit of using the cost-of-living index in agreements is that the data series continues unbroken also when breaks occur in the series of the rent index or the Consumer Price Index in connection with index revisions.
Coherence - internal
Source data and data collections
Source data
Data collection
Frequency of data collection
Methods
Data compilation
The rent index is calculated with the Törnqvist index formula. The data are stratified based on the financing mode, area and number of rooms and the lowest level indices are calculated based on this stratification. Higher level indices are calculated by weighting the micro indices together with weights according to the rental dwelling stock. The base period is the previous year and the actual index series is calculated by chaining the indices into a long time series where the base year is 2015=100.
Data validation
Principles and outlines
Contact organisation
Statistics Finland
Contact organisation unit
Legal acts and other agreements
The compilation of statistics is guided by the Statistics Act. The Statistics Act contains provisions on collection of data, processing of data and the obligation to provide data. Besides the Statistics Act, the Data Protection Act and the Act on the Openness of Government Activities are applied to processing of data when producing statistics.
Statistics Finland compiles statistics in line with the EU’s regulations applicable to statistics, which steer the statistical agencies of all EU Member States.
Further information: Statistical legislation
Confidentiality - policy
The data protection of data collected for statistical purposes is guaranteed in accordance with the requirements of the Statistics Act (280/2004), the Act on the Openness of Government Activities (621/1999), the EU's General Data Protection Regulation (EU) 2016/679 and the Data Protection Act (1050/2018). The data materials are protected at all stages of processing with the necessary physical and technical solutions. Statistics Finland has compiled detailed directions and instructions for confidential processing of the data. Employees have access only to the data essential for their duties. The premises where unit-level data are processed are not accessible to outsiders. Members of the personnel have signed a pledge of secrecy upon entering the service. Violation of data protection is punishable.
Further information: Data protection | Statistics Finland (stat.fi)
Confidentiality - data treatment
Release policy
Statistics Finland publishes new statistical data at 8 am on weekdays in its web service. The release times of statistics are given in advance in the release calendar available in the web service. The data are public after they have been updated in the web service.
Further information: Publication principles for statistics at Statistics Finland
Data sharing
Accessibility and clarity
Statistical data are published as database tables in the StatFin database. The database is the primary publishing site of data, and new data are updated first there. When releasing statistical data, existing database tables can be updated with new data or completely new database tables can be published.
In addition to statistical data published in the StatFin database, a release on the key data is usually published in the web service. If the release contains data concerning several reference periods (e.g. monthly and annual data), a review bringing together these data is published in the web service. Database tables updated at the time of publication are listed both in the release and in the review. In some cases, statistical data can also be published as mere database releases in the StatFin database. No release or review is published in connection with these database releases.
Releases and database tables are published in three languages, in Finnish, Swedish and English. The language versions of releases may have more limited content than in Finnish.
Information about changes in the publication schedules of releases and database tables and about corrections are given as change releases in the web service.
Data revision - policy
Revisions – i.e. improvements in the accuracy of statistical data already published – are a normal feature of statistical production and result in improved quality of statistics. The principle is that statistical data are based on the best available data and information concerning the statistical phenomenon. On the other hand, the revisions are communicated as transparently as possible in advance. Advance communication ensures that the users can prepare for the data revisions.
The reason why data in statistical releases become revised is often caused by the data becoming supplemented. Then the new, revised statistical figure is based on a wider information basis and describes the phenomenon more accurately than before.
Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures. Changes of base years and used classifications may also cause revisions to data.
Quality assessment
The register of housing allowances provides information about rents in dwellings of those receiving housing allowance. The register covers all dwellings receiving housing allowance. The timeliness of housing allowance data does not fully correspond with the reference period of the statistics, because the register data are updated during the preceding 12 or 24 months. The housing allowance data have the nature of a sample because they only include rental dwellings receiving housing allowance, and do not structurally necessarily fully correspond with the structure of the entire rental dwelling stock.
The data of rental housing companies describe the whole rental dwelling stock for the participating companies. In the statistics, company data represent all observations based on rental housing companies. The rent index is formed for all rental dwellings included in the index calculation of the data, and there is no separate index for new tenancy agreements like for average rents. New tenancies are included in the index calculation when a pair for them is found in the base period, in practice in the first quarter of the following year. A new tenancy is included in the calculation as soon as the tenants change if the same dwelling was included in the base period, that is, both the old and the new tenants are found in the Social Security Institution's register of housing allowances.
To ensure the reliability of the statistics, data are not published in categories with under 20 observations. The statistics make use of limits on rent per square metre based on the distribution, by which cases clearly deviating from the market level and errors in data are removed.
Quality assurance
Quality management requires comprehensive guidance of activities. The quality management framework of the field of statistics is the European Statistics Code of Practice (CoP). The frameworks complement each other. The quality criteria of Official Statistics of Finland are also compatible with the European Statistics Code of Practice.
Further information: Quality management | Statistics Finland (stat.fi)
User access
Data are released to all users at the same time. Statistical data may only be handled at Statistics Finland and information on them may be given before release only by persons involved in the production of the statistics concerned or who need the data of the statistics concerned in their own work before the data are published.
Further information: Publication principles for statistics
Unless otherwise separately stated in connection with the product, data or service concerned, Statistics Finland is the producer of the data and the owner of the copyright. The terms of use for statistical data.