2016 Postal Code Areas - Dataset Table

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The table is part of a dataset collection that delves into the postal areas of 2016, as provided by the Finnish Statistical Bureau (Tilastokeskus). The table encompasses a wide range of data, including intricate geographic information that can be leveraged for geospatial data analytics. This geographic data, represented under columns beginning with 'geom_', uses the WGS 84 coordinate reference system, with longitude listed before latitude.

The table also contains unique identifiers for each postal area, as well as associated region names, both in Finnish and in other local languages. It offers insight into the surface area of each postal region, allowing for spatial distribution analysis. Additionally, data pertaining to the year of record is also included.

Two unique columns in the table, '_extract_date' and '_row_number', serve a special purpose. The '_extract_date' column specifies the date the data for a particular row was sourced, while the '_row_number' column provides the row number for the data extracted on the specified date. The combination of these two columns uniquely identifies each row, ensuring data integrity.

This table's data could be used in various analytics scenarios. For instance, the geographic information could be used in spatial analysis or mapping applications to visualize postal areas. The data could also be used to analyze population distribution across different regions, provided that additional demographic data is available. Furthermore, the data could be utilized to track changes in region names or postal area boundaries over time, lending itself to historic or sociocultural studies.

Field Descriptions

Name Data type Description
_extract_datedateThis column holds the date when the data on the row was extracted from the database. It is a special column that helps identify each row uniquely in combination with the _row_number.
_row_numberlongThis column contains the row number in the data extracted from the source on the extract date specified by the _extract_date column. It is a special column that, in combination with _extract_date, provides a unique identifier for each row.
geom_geojsonstringThis column contains geospatial data in GeoJSON format, a widely used open standard format designed for representing simple geographical features.
geom_geotextstringThis column contains geospatial data in text format. The data usually represents geographic features and their spatial extents.
geom_typestringThis column contains information about the type of the geometry that the geospatial data represents.
geom_centroidstringThis column contains the coordinates of the centroid of the geometric shape represented by the geospatial data in the row.
geom_center_xdoubleThis column contains the X-coordinate of the center of the geometric shape represented by the geospatial data in the row.
geom_center_ydoubleThis column contains the Y-coordinate of the center of the geometric shape represented by the geospatial data in the row.
gml_idstringThis string column stores the unique identifier for each geographical markup language data element.
kuntastringThis string column contains the municipality code.
kuntanrolongThis integer column contains the municipality number, which is a unique identifier for each municipality.
namnstringThis string column represents the name of the geographical area in a foreign language.
nimistringThis string column represents the name of the geographical area.
pinta_aladoubleThis real (floating-point) column contains the area of the geographic region in square meters.
posti_aluestringThis string column represents the postal area code.
shape_stardoubleThis real (floating-point) column represents a shape-related parameter of the geographic area.
shape_stledoubleThis real (floating-point) column represents a shape-related parameter of the geographic area.
vuosilongThis integer column contains the year when the data for the row was collected or updated.

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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
Id8d66a0c7-dc1f-4d54-96d8-f41467614c99
Package id31d3b116-8f8b-4f94-9dc4-22b867ad86db
Revision id7d78004e-6cea-40aa-9f28-2981df4d904e
Stateactive
Tablepostialue_pno_2016__table