Large Districts 2020 (Scale 1:4 500 000) - Data Table

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The table in focus, belonging to the dataset collection 'tilastointialueet_suuralue4500k_2020', features data concerning large areas in 2020 at a 1:4,500,000 scale, sourced from the website of 'Tilastokeskus' (Statistics Finland) in Finland. The table is structured into various columns, each bearing distinct information about the data.

Columns like 'geom_geojson', 'geom_geotext', 'geom_type', 'geom_centroid', 'geom_center_x', and 'geom_center_y' carry geographic information that could be instrumental for geospatial data analytics. The geographic coordinates are presented using the WGS 84 coordinate reference system, where longitude is followed by latitude.

Other columns like 'name', 'namn', and 'nimi' provide the names of the large areas in various languages, offering a multi-lingual perspective. Meanwhile, the 'gml_id' column contains unique identifiers for each area, and the 'suuralue' and 'vuosi' columns respectively contain codes for the large areas and the year of data collection.

Two special columns, '_extract_date' and '_row_number', provide a timeline and ordering of the data. The former records the date when the data was pulled from the source, while the latter assigns a unique row number for each data extraction. These two columns combined uniquely identify each row in the table.

This table can be utilized in several ways for data analytics. For example, it could be used to analyze geographical trends over time by comparing data from different '_extract_date'. It could also support multilingual research or marketing strategies by leveraging the language-specific area names. Additionally, the geospatial data can be used to create comprehensive maps or for spatial analysis.

Field Descriptions

Name Data type Description
_extract_datedateThis column contains the date when the data row was extracted from the source. It helps track when the specific data was recorded.
_row_numberlongThis column contains the row number of the data extracted from the source. Together with '_extract_date', it uniquely identifies each row in the table.
geom_geojsonstringThis column contains the geometric data in GeoJSON format. It can be used to represent spatial features and their attributes.
geom_geotextstringThis column contains geometric data in text format, specifically as a multipolygon. This information can be used for spatial analysis.
geom_typestringThis column specifies the type of geometric data contained in the table. In this case, the type is ST_MULTIPOLYGON.
geom_centroidstringThis column contains the central point of each geographical feature in the table, represented as a point. This is useful for identifying the center of each spatial feature.
geom_center_xdoubleThis column contains the x-coordinate of the center of each geographical feature. It is part of the spatial data in the table.
geom_center_ydoubleThis column contains the y-coordinate of the center of each geographical feature. This is another component of the spatial data in the table.
gml_idstringThis column contains an identifier for each row. It is a string and can be used to uniquely identify each geographical feature.
namestringThis column contains the English name of the geographical area represented by the row.
namnstringThis column contains the name of the geographical area in Swedish. It is equivalent to the 'name' column but in a different language.
nimistringThis column contains the name of the geographical area in Finnish. It is equivalent to the 'name' column but in a different language.
suuraluestringThis column contains an identifier for the large area of the geographical feature. It is a string and can be used to group or categorize the data.
vuosilongThis column contains an integer representing the year of the data. This can be used to track changes over time.

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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
Id5c64ec56-71c7-47d9-b985-c47d9c88e909
Package idebde98ed-de64-4cfa-8f20-3953043d5e76
Revision idc6796977-a6f2-4576-b6d3-b0f08de40b9b
Stateactive
Tabletilastointialueet_suuralue4500k_2020__table