Postal Codes Dataset for Luxembourg, LU

257
Updated:
Files:1
Size:340 kB
Formats:csv
License:CC-BY-4.0

Postal Codes Dataset for Luxembourg, LU 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-lu/
https://datahub.io/logistics/postal-codes-lu/_r/-/.licensing-notes.md
https://datahub.io/logistics/postal-codes-lu/_r/-/README.md
https://datahub.io/logistics/postal-codes-lu/_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-lu/_r/-/datapackage.yml
README.mddocumentation
https://datahub.io/logistics/postal-codes-lu/_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 Luxembourg, LU

About

Last updated
2 September 2026
Total rows
...
Format
CSV
File size
340 kB

About this dataset

Postal Codes Dataset for Luxembourg (LU)

This dataset contains Luxembourg postal codes – 4,519 rows, all 12 cantons, 105 communes – Luxembourg's postal source has no third admin tier, so this is full coverage of both tiers that exist.

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

Sourced from GeoNames, licensed CC BY 4.0.

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

Coverage note. Primary key is (postal_code, place_name, admin_name2) – 1 pair repeats because a border locality ("Blumenthal") is listed once per commune it touches. admin_code2 is a per-canton sequence number, not globally unique.

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 should be read as text (dtype=str).

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