Statistics Finland provides open statistical data for decision-making and research. Open statistical data are available on various topics for the entire country, by municipality, postal code area and map grid. We also offer international statistical data, an example of which is Eurostat's main tables.
Statistics Finland uses the open data licence – CC BY 4.0 licence. Data can be used freely in every possible way provided that the source is mentioned.
Open database data
You can search for statistical data from free-of-charge databases in the PX-Web API interface in the following formats: XLSX, XML, JSON, JSON-stat, CSV, etc. You can find collected basic data on Statistics Finland's open database data and instructions and links to API interfaces on the Open database data page. You can find further information about the interface in the PxWebApi instructions (PDF).
You can take open geographic data into use from the interface service for viewing (WMS) or transfer (WFS). Statistics Finland's open geographic data are part of the national geographic information interface and they have also been published in the national geographic information portal Paikkatietoikkuna.
You find the classifications published by Statistics Finland with metadata on the following pages:
- Information about statistical classifications and the statistical classification API
- Statistical Classification API
Questions and feedback: firstname.lastname@example.org
Other open material
- LOD: Regional classifications as linked data (beta)
You can download regional classifications from the SPARQL interface:
The regional classification data include unique identifiers for the boundaries of the areas, which you can use to query for the geometrics in question from the National Land Survey of Finland's SPARQL interface either http://22.214.171.124/igalod/fuseki/ or http://126.96.36.199/igalod/fuseki/ds/query.
The interfaces contain data for 2018 and 2019.
Questions and feedback: email@example.com
You can download teaching materials suitable for all education levels for teaching statistical methods.
You can transfer the data of the release calendar to your own web application in JSON format.
You can use the SISU model code that can be downloaded online for example calculations.
Open data tools
The Github environment contains open source data tools for transferring tables from Statistics Finland's databases and for computerised reading and processing of tables.