Changes may be made to the statistical data we publish after their initial release. We swiftly inform about the reasons, size and timing of the changes. In change situations we follow the practices agreed on in the European statistical community.
The released statistical data can be changed for two reasons: the data become revised or an error has been detected in the published data.
Data revisions
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. Information about revisions is communicated as openly as possible in advance so that users can prepare for them.
Revisions are made regularly in some statistics. The reasons for revisions in statistics are explained in more detail in the documentation of the statistics. The description also explains the usual magnitude of the revisions, how long the data will be subject to revisions after their initial release, and whether certain data are subject to larger revisions than others.
Revision due to supplementation of data
The reason why statistical data become revised is mostly caused by data becoming supplemented. Then the new, revised statistical figure is based on a wider information basis and describes the phenomenon more accurately than before.
Revision due to calculation method
Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures.
Seasonally adjusted data in statistics on economic trends become revised because of the calculation method used. Additional information from a new time series observation is exploited in model-based calculation methods and this is reflected as changes in previously released data. Revisions of the latest figures to be seasonally adjusted are explained in connection with statistical releases and in the documentation of the statistics.
If statistical data are revised substantially more than usual, the reasons for it are separately explained in the release.
A summary table of the revisions that have taken place is also published in connection with key statistics on economic trends and other statistics. The table shows how the data for the statistical reference periods have changed between the first and the most recent statistical releases.
Correction of errors
Examples of errors in statistical data include erroneous numbers in release texts, figures or tables, or use of incorrect concepts. Unlike revisions, error situations are unexpected deviations from normal.
We correct the errors and inform about them as quickly as possible. We publish a change release on the corrections.
Typographical and other form errors are corrected as fast as possible and no separate notifications are made of them on the web pages.