Postal Codes Dataset for Denmark, DK

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Formats:csv
License:CC-BY-4.0

Postal Codes Dataset for Denmark, DK including name of the city, town, or place, various administrative divisions and alternative city names.

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API Access

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Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/logistics/postal-codes-dk/
https://datahub.io/logistics/postal-codes-dk/_r/-/.licensing-notes.md
https://datahub.io/logistics/postal-codes-dk/_r/-/README.md
https://datahub.io/logistics/postal-codes-dk/_r/-/datapackage.yml
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.ymlmetadata & schema
https://datahub.io/logistics/postal-codes-dk/_r/-/datapackage.yml
README.mddocumentation
https://datahub.io/logistics/postal-codes-dk/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.yml to inspect schema and resources
  2. 2. Download data resources listed in datapackage.yml
  3. 3. Read README.md for full context

Data Files

Postal Codes Data Resource for Denmark, DK


About this dataset

Postal Codes Dataset for Denmark (DK)

This dataset contains Danish postal codes – 1,089 rows, all 5 regions and 99 municipalities (98 kommuner plus Christianso). Built directly from DAWA (api.dataforsyningen.dk), Denmark's official geodata platform.

Note: This dataset is a sample containing the first 100 rows. If you need access to the complete dataset, please contact our sales team for more information: datahub@datopian.com

Data Sources

Postal districts and municipality admin data are sourced from DAWA / Dataforsyningen, run by SDFI (Styrelsen for Dataforsyning og Infrastruktur), the Danish government geodata agency. Postal codes originate from PostNord/PostDanmark. Licensed CC BY 4.0.

Licensing status. Cleared to sell – licence_status.decision: compatible. See ATTRIBUTION.txt for the full attribution notice.

Coverage note. All 5 regions and all 99 municipalities are represented. 246 of the 1,089 postal codes span more than one municipality in the source register; 8 of those were deliberately re-pointed to a municipality other than the source's first-listed one so that 7 municipalities that never appear first for any code are still represented by at least one row.

Usage

The dataset files are available in CSV format and can be accessed and downloaded using the links provided in the datapackage.yml.

postal_code and admin_code2 must be read as text (dtype=str) – a naive pd.read_csv() can otherwise strip leading zeros.

For access to the full dataset or other inquiries, please contact our sales team at datahub@datopian.com