FSD3788 Register Data on Vacancies Notified to Public Employment Service 2022
The dataset is (B) available for research, teaching and study.
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Study title
Register Data on Vacancies Notified to Public Employment Service 2022
Dataset ID Number
FSD3788
Persistent identifiers
https://urn.fi/urn:nbn:fi:fsd:T-FSD3788https://doi.org/10.60686/t-fsd3788
Data Type
Quantitative
Authors
- Ministry of Employment and the Economy. Employment and Well-functioning Markets Department
Abstract
The data contain information on the vacancies notified to the Public Employment Service in Finland in 2022. The data have been compiled from job advertisements, and each individual vacancy mentioned in the advertisements has been counted. The data include information on open vacancies, employers, and the process of filling the job vacancies.
The information on open vacancies covers variables such as the location, occupation, and duration of the vacancy, the employer's industry of employment, educational requirements, working hours, staff size, type of workplace, deadline for applications, and the starting date of the job. In addition, the data contain variables providing information on the number of open vacancies in the advertisements, the number of rows in the advertisement, and the number of job offers. The public employment agencies (TE Offices) and Centres for Economic Development, Transport and the Environment (ELY Centres) located in the region of the open vacancies are also included in the data.
Various duration variables have been added to the data. These variables include the duration the vacancy was open, the time of recruiting, and the time it took to fill the vacancy. These variables have their own calculation rules.
The data also include regional variables such as the sub-region, municipality type, and town.
Keywords
employment; employment services; job vacancies; labour and employment; labour force; labour force needs; recruitment
Topic Classification
- Social sciences (Fields of Science Classification)
- Social welfare policy (CESSDA Topic Classification)
- Employment (CESSDA Topic Classification)
Series
Register Data on Vacancies Notified to Public Employment ServiceDistributor
Finnish Social Science Data Archive
Access
The dataset is (B) available for research, teaching and study.
Data Collector
- Ministry of Employment and the Economy. Employment and Well-functioning Markets Department
Time Period Covered
2022
Collection Dates
2023-06
Nation
Finland
Geographical Coverage
Finland
Analysis/Observation Unit Type
Other analysis unit (Vacancy notification)
Universe
Job vacancies notified to Public Employment Services in 2022
Time Method
Time series
Sampling Procedure
Total universe/Complete enumeration
Job vacancies notified to Public Employment Services in Finland in 2022. The register data cover vacancies notified within the year.
Collection Mode
Compilation/Synthesis
Research Instrument
Data collection guidelines: Secondary data collection guide
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: Finnish.
FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.
Data Version
1.0
Weighting
There are no weight variables in 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
Ministry of Employment and the Economy: Register Data on Vacancies Notified to Public Employment Service 2022 [dataset]. Version 1.0 (2023-10-20). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3788
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.
FSD has not been informed of any publications related to the data.
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.