Lack of spatial soil data in digital form has been a primary obstacle in establishing European policies on land use and environmental protection. Abundant data on soil characteristics exist in Finland but have been scattered among various sources, making it difficult for authorities to make country-wide presentations and predictions. The objective of this three-year project was to create georeferenced soil map and database according to the instructions of the European Soil Bureau using data from existing databases and collecting some new data. During the project, 35% coverage of Finland has been achieved. The map will cover the whole country by 2009. The basis of the work was a geological map of quaternary deposits, which describes the soil at a depth of 1 metre according to the Finnish classification based on the concentration of organic matter and the texture of mineral material. Primary research topics included generalization methodology of soil polygons with GIS technology, calculation of soil characteristics needed in the database and computerizing the existing non-digital soil information. It was proved that aerial geophysic can be used for separation of shallow peats from deep peat soils and muddy soils and other wet areas can be identified. Soil names according to the FAO/Unesco system and the World Reference Base for Soil Resources (WRB) were derived from the soil names of the Finnish soil classification system and geophysical data. The process starts with combining the different data layers of the topsoil one by one with the data of the subsoil (database of the quaternary deposits). The soil names according to the FAO/Unesco and WRB systems are derived automatically using a Visual Basic (VB) application. Polygons smaller than 6.25 ha are merged with adjacent larger polygons. Poly-gons are further generalized to soil associations (soilscapes) of a mimimum size of 150 ha with another VB-application. The attribute data of soils are collected to a database. The interface to the database will be built with ESRI's ArcInfo Desktop tools. The web-based end-user application can be constructed as browser based application, which uses technol-ogy common to the project partners and users of the data. This report presents the basic concepts and terminology of the soil map and database and describes the production process. An example of a soilscape map is shown. A country-wide prediction of the distribution of the soil types in the forest soils is presented. Distribution of soil types in agricultural soils is presented in selected areas. Tables of essential soil properties were also compiled.