Large Areas 2018 (1:1 000 000) - Data Table from Finnish Statistical Data Collection

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This table, part of the 'tilastointialueet_suuralue1000k_2018' dataset collection, houses detailed information about the Large Areas of 2018 (1:1 000 000) in Finland. The data originates from 'Tilastokeskus' (Statistics Finland). The table is structured with a variety of columns, each hosting specific types of data.

Among the contents of the table, there are two special columns: '_extract_date' and '_row_number'. The former indicates the date when the specific row's data was extracted, while the latter represents the row number in the data extracted on that particular date. These two columns together establish a unique identifier for each row.

The dataset also includes several columns that begin with 'geom_', representing geographic information. This data is crucial for geospatial data analytics, presenting geographic coordinates using the WGS 84 coordinate reference system, with the axis order being longitude first, then latitude.

The table further includes columns detailing the name of the areas in different languages, the year, and a unique identifier for each area.

This dataset could be utilized in multiple ways for data analytics. For instance, it could be used to analyze regional trends or patterns over time, given the year column. The geospatial data can be used to create geographic visualizations or to conduct spatial analysis, such as studying the proximity of areas to certain facilities or services. Furthermore, the multilingual columns offer opportunities for international studies or investigations into linguistic demographics.

Field Descriptions

Name Data type Description
_extract_datedateThis column contains the date when the data on the row was extracted. It helps track when each record was pulled from the source.
_row_numberlongThis column contains the row number in the data as it was extracted from the source. In combination with '_extract_date', each row can be uniquely identified.
geom_geojsonstringA representation of geographic objects in GeoJSON format. This can include features such as points, lines, and polygons.
geom_geotextstringA geometrical representation of the data in text format. It compliments the 'geom_geojson' column and provides a readable format of the same data.
geom_typestringSpecifies the type of the geometry. For example, in our table, it indicates that the geometry is of type 'ST_MULTIPOLYGON'.
geom_centroidstringThe centroid or the geometric center of a shape. It is calculated as the average of all points in the shape.
geom_center_xdoubleThe X-coordinate of the geometric center of a shape.
geom_center_ydoubleThe Y-coordinate of the geometric center of a shape.
gml_idstringThis is a unique identifier for each row in the table.
namestringThe English name of the geographical area.
namnstringThe name of the geographical area in Swedish.
nimistringThe name of the geographical area in Finnish.
suuraluestringA coded representation of a geographical area.
vuosilongYear of the data record. In our table, all records are from the year 2018.

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Additional Information

Last updated November 11, 2024
Created November 11, 2024
License No License Provided
Geographic coverage
Geographic granularity
Temporal coverage from
Temporal coverage to
Temporal coverage to
Countryfi
Databasefi_tilastokeskus
Extract date2024-11-11
Idb287ebbd-02be-4af5-9ff6-232082c7ffea
Package ide3100c5c-13aa-426b-b60b-92ef9005de70
Revision id3b6a54bf-3783-44d2-9b34-f3dffae75718
Stateactive
Tabletilastointialueet_suuralue1000k_2018__table