Luxembourg Postal Codes - Format, Structure & Examples by District

Access structured postal-code data for Luxembourg, including streets, cities, postal codes, and district information. Designed for business, analytics, logistics, data enrichment, and location-based applications that depend on accurate postal-code coverage.

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Dataset Overview

PostcodeZip provides a ready-to-use database covering 9,275 streets across 9,191 addresses, 474 cities and 4,190 postal codes in 3 districts of Luxembourg.

• 9,275 streets
• 9,191 addresses
• 474 cities
• 4,190 postal codes
• 3 districts

What This Data Can Be Used For

• Postal-code validation and address cleanup
• Autocomplete for forms and search fields
• Location-based analytics and reporting by city, postal code, or district
• Database enrichment and segmentation
• Logistics, delivery, and route planning within Luxembourg
• Geographic applications and mapping tools

Available Files

Depending on your project, you can choose one or more of the following files:

• Regions file - administrative districts and subdivisions
• Locations file - cities and postal codes
• Streets file - street-level location data
• Addresses file - individual addresses with coordinates

Each file is available as a sample preview before purchase.

Sample Files Preview

Download a sample file or preview a few example rows before purchasing.

Regions File

Download regions sample

Locations File

Download locations sample

Streets File

Download streets sample

Addresses File

Download addresses sample

Sample data for preview purposes only.

Why This Dataset Is Useful

This postal-code database makes it easier to work with real Luxembourg geographic data in a structured format. It helps standardize postal-code and address inputs, improve form completion, match existing customer records, and support internal analysis by city, postal code, street, or district.

It is useful for teams building applications that rely on real postal and location data, including CRMs, business directories, delivery systems, mapping tools, and reporting platforms. The most common street in the dataset is Rue de l'Église (139 occurrences).

Data Structure

Depending on the selected file, the dataset may include the following fields:

• Country code
• Country name
• District
• City
• Postal code
• Street
• Latitude
• Longitude
• Elevation

Formats and Delivery

Files are available in CSV, Excel, SQL, and XML format, depending on the selected product.

After purchase, your files are delivered in a downloadable archive and can be used immediately.

Updates and Purchase

This is a one-time purchase. The dataset is maintained regularly; updated on November 4, 2026. Additional updates may be available on request.

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