Study title

Public Procurement Notices 2025

Alternative Title

Hilma 2025

Dataset ID Number

FSD4056

Persistent identifiers

https://urn.fi/urn:nbn:fi:fsd:T-FSD4056
https://doi.org/10.60686/t-fsd4056

Data Type

Quantitative

Authors

• State Treasury

Abstract

The data contain announcements of public contracts published in the HILMA electronic notification system in 2025. Finnish procurement laws and EU public procurement directives require that contracting authorities advertise their public tenders for all procurements exceeding the threshold value.

Public procurement notices contain information on the number and type of notice, date of publication, type of the contract, type of procurement procedure, type of the contracting authority, award criteria, common procurement vocabulary (CPV) code, and the value of the contract (if applicable). The questionnaire also includes statistical questions related to the monitoring of the implementation of the national public procurement strategy. These questions cover innovation, environmental and social sustainability, consideration of small and medium-sized enterprises and the involvement of service users in the procurement process.

The data also contain information on the suppliers of products and services and the variable regional classification (NUTS).

Keywords

contracts and agreements; legislation; public expenditure; public finance; public sector; purchasing

Topic Classification

• Social sciences (Fields of Science Classification)
• Economic policy, public expenditure and revenue (CESSDA Topic Classification)
• Government, political systems and organisations (CESSDA Topic Classification)

Series

Public Procurement Notices

Distributor

Finnish Social Science Data Archive

Access

The dataset is (A) openly available for all users without registration (CC BY 4.0).

Data Collector

• State Treasury

Time Period Covered

2025

Collection Dates

2025

Nation

Finland

Geographical Coverage

Finland

Analysis/Observation Unit Type

Other analysis unit (Procurement notices)

Universe

Public procurement notices from the year 2025

Time Method

Time series

Data Sources

Hilma database 2025

Sampling Procedure

Total universe/Complete enumeration

No sampling. The data contain notices published in the HILMA database in 2024. The archived data contain 21,367 notices.

Collection Mode

Summary

Research Instrument

Data collection guidelines: Secondary data collection guide

Structured questionnaire

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

State Treasury: Public Procurement Notices 2025 [dataset]. Data version 1.0 (2026-05-27). Finnish Social Science Data Archive [distributor]. DOI: https://doi.org/10.60686/t-fsd4056; URN: https://urn.fi/urn:nbn:fi:fsd:T-FSD4056

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.

Other Material

See downloadable files at the top of the page.

HILMA. Public procurement

HILMA is the official service for notices on public procurement in Finland.

SIMAP. Information about European public procurement

The website contains further information about European public procurement and, for instance, current common procurement vocabulary (CPV) codes.

FSD has not been informed of any publications related to the data.