Production of original dataset available at http://www.gisco.eurostat.cec/shared-data/GEOSTAT-1km-Grid/ :

Austria (DATA_SRC = AT): Aggregation from national register data using building points reprojected to ETRS89-LAEA.

Estonia (DATA_SRC = EE): The population data for non Census years is only available on municipality level (LAU2). The 2006 population gridmap is an estimation which is based on different datasets - 2011 Census building centroids (contains also building addresses and coordinates), persons address data from population register, data about new buildings from buildings register and the official 2006 population counts on municipalities level. Buildings that were built between 2006 and 2011 were excluded. Based on building centroids the 2006 population in municipalities were calculated and the numbers were compared to the official population counts for the year 2006. If there were differences between the two numbers then the missing/redundant number of persons were added/deleted to/from randomly selected buildings within the same municipality. The building centroid datset were aggregated to grids.

Finland (DATA_SRC = FI): Data were recast to 1km2 ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated by using building points.

The Netherlands ((DATA_SRC = NL): Source population register, allocated by address-coordinates. Recast from 100m x 100m grid (aggregated) in national projection (EFGS 28992). Not allocated were a number of 6,930 persons from a total of 16,334,210 persons on the 1 January 2006

Poland (DATA_SRC = PL): Use of address points layer (reference 2011) as a parameter to disaggregate population distribution from the administrative units (reference 2006) into the 1km2 grid.Portugal: The population data for 2006 is only available on municipality level (LAU1). These data and the 2001 and 2011 population distribution on 1km2 grid was used to estimate the 2006 population for each grid cell. Determination of the percentage breakdown of population in 2001 and 2011 within each municipality that reside in a particular grid; Estimate the 2006 grid cell population as linear combined estimates of the previous percentages with fixed weights multiplied by the 2006 population in the municipality.

Sweden (DATA_SRC = SE: Data was aggregated using building locations. 21249 persons not located in any grid cell.

Slovenia (DATA_SRC = SI): Aggregation using building locations. 15 persons not located in any grid cell.Norway: Data recast to 1 km x 1 km ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated using building points.

Denmark (DATA_SRC = DK): Aggregation of household locations.

France: Combination of tax register, census data and cadastral data.

United Kingdom (England, Wales) (DATA_SRC = GB): The map is based on postcode population estimates. Population estimates have been produced for 1.33m residential postcodes.

Austrian Institute for Technology (DATA_SRC = AIT) (for BE, BG, CH, CZ, DE, EL, ES, IE, IT, HU, LI, LU, LT, LV, MT, RO, SK, UK (Scotland, Northern Ireland): input data EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 2006 (© European Environment Agency) Population per LAU2 (LAU1) 2006 (© Eurostat) LAU2 borderlines (© Eurogeographics) Corine Land Cover 2006 (© European Environment Agency) Open Street Map data (Geodaten © OpenStreetMap) Methodology: 1.Creating non-residential masks (1:100.000); Non-residential built-up areas of Corine Land Cover (CLC 1.2, 1.3, 1.4) Rasterized road and rail network from OSM data2. Masking of Degree of Soil Sealing Layer resulting in Housing Density Layer

3. Linear Disaggregation of LAU2 population data to Housing Density Layer 4. Aggregation of disaggregated population to 1km grid.

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Production of current dataset:

Production of a raster file based on an Inspire compliant grid.