2023 Postal Areas Data Table - Finland

To download the data set, please sign up or log in

Click here for a data sample

The 'table' is a part of the 'postialue_pno_2023' dataset collection. It contains information related to Paavo postal code areas for the year 2023, sourced from the 'Statistics Finland' (Tilastokeskus) website in Finland. The data is structured in a specific format featuring a variety of columns, each representing a different aspect of the postal code area.

Key columns include geographic data fields, which start with 'geom_'. These columns contain geographic information that can be used for geospatial data analytics. For instance, 'geom_geojson' and 'geom_geotext' contain geographic shapes information in different formats, while 'geom_center_x' and 'geom_center_y' provide geographic center coordinates of the postal code area. It's important to note that geographic coordinates are presented using the WGS 84 coordinate reference system, with axis order longitude first, followed by latitude.

Other essential columns include 'kunta' and 'kuntanro' that represent municipality identifiers. 'Namn' and 'nimi' contain the names of the areas in different languages. 'Objectid' is a unique identifier for each row, and 'pinta_ala' represents the area size. The 'posti_alue' column contains postal code information, and 'vuosi' indicates the year of the data.

Additionally, the table has two special columns, '_extract_date' and '_row_number'. The '_extract_date' field contains the date when the row's data was extracted, while '_row_number' is the row number in the data extracted on the specified extract date. The combination of these two columns uniquely identifies each row.

In terms of data analytics, this table could be used in various ways. For example, the geographic data could be used to create visual maps of postal code areas. The 'pinta_ala' could be used to analyze the size of the areas, and the 'vuosi' field could be used for time-series analysis. The dataset could also be used for demographic analysis, urban planning, and postal services optimization, among other applications.

Field Descriptions

Name Data type Description
_extract_datedateThis column records the date when the data row was extracted from the source.
_row_numberlongThis indicates the row number in the data extracted from the source on the extract date specified by the column '_extract_date'.
geom_geojsonstringThis column contains geometry data in GeoJSON format.
geom_geotextstringThis stores the geometric data as a text string.
geom_typestringThis designates the type of geometric data stored.
geom_centroidstringThis signifies the geometric center of a shape in the form of a point.
geom_center_xdoubleThis represents the X-coordinate of the geometric center of a shape.
geom_center_ydoubleThis represents the Y-coordinate of the geometric center of a shape.
gml_idstringThis is a unique identifier for each data entry.
kuntastringThis column contains string type data.
kuntanrolongThis is an integer type data field.
namnstringThis contains string type data.
nimistringThis also contains string type data.
objectidlongThis is a unique identifier for each data entry.
pinta_alalongThis column contains data of type Integer64.
posti_aluestringThis column contains string type data.
vuosilongThis column contains integer type data, referring to a specific year.

No sample for this dataset

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
Id1daed5c7-94a1-4a9f-afa8-c40167c29f7b
Package id27dbf2e7-142a-4758-98ed-9236e158e721
Revision ida728e063-96d6-4782-9342-1ed5971e8eff
Stateactive
Tablepostialue_pno_2023__table