Denmark Postal Codes & Zip Codes - Format, List & Examples
Denmark Postal Codes - Format, Structure & Examples by Region
Access structured postal-code data for Denmark, including streets, cities, postal codes, and regional information. Designed for business, analytics, logistics, data enrichment, and location-based applications.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 202,899 streets, 7,148 cities, and 1,124 postal codes across 6 regions of Denmark. The most common street name is Lærkevej with 331 occurrences.
- 202,899 streets
- 7,148 cities
- 1,124 postal codes
- 6 regions
What This Data Can Be Used For
- Postal-code validation and address cleanup
- Autocomplete for forms and search fields
- Location-based analytics and reporting
- Database enrichment and segmentation
- Logistics, delivery, and route planning
- Geographic applications and mapping tools
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - administrative regions and subdivisions
- Locations file - cities and postal codes
- Streets file - street-level location data
- Addresses file - individual addresses (where available)
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
| Country Code | Country | Region | Municipality | Region3 | Region4 |
|---|---|---|---|---|---|
| DK | Denmark | Sjælland | Faxe | Hylleholt | - |
| DK | Denmark | Nordjylland | Aalborg | Aalborg | Nørre Tranders |
| DK | Denmark | Syddanmark | Billund | Urup | - |
Locations File
| Country Code | Country | Region | Municipality | City | Postal Code |
|---|---|---|---|---|---|
| DK | Denmark | Syddanmark | Sønderborg | Egen | 6430 |
| DK | Denmark | Nordjylland | Rebild | Lille Brøndum | 9574 |
| DK | Denmark | Sjælland | Guldborgsund | Dukkerup | 4850 |
Streets File
| Country Code | Country | Region | Municipality | City | Postal Code | Street | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DK | Denmark | Midtjylland | Randers | Udbyhøj | 8970 | Nyvasen | 56.6153099 | 10.2776626 | 1 | STREET | 50 |
| DK | Denmark | Hovedstaden | København | København NV | 2400 | Tranevej | 55.701977 | 12.532159 | 19 | STREET | 50 |
| DK | Denmark | Sjælland | Lolland | Harpelunde | 4912 | Grevevænget | 54.875489 | 11.090721 | 6 | STREET | 50 |
Addresses File
| Country Code | Country | Region | Municipality | City | Postal Code | Street |
|---|---|---|---|---|---|---|
| DK | Denmark | Hovedstaden | Rødovre | Rødovre | 2610 | Rødovre Parkvej |
| DK | Denmark | Midtjylland | Aarhus | Højbjerg | 8270 | C.F. Aagaards Vej |
| DK | Denmark | Syddanmark | Middelfart | Middelfart | 5500 | Julievej |
Sample data for preview purposes only.
Why This Dataset Is Useful
This database makes it easier to work with real geographic data in a structured format. It can help standardize postal-code inputs, improve form completion, match existing customer records, and support internal analysis by city, postal code, street, or region.
It is also useful for teams building applications that rely on real postal and location data, including CRMs, business directories, delivery systems, mapping tools, and reporting platforms.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- Region
- Municipality
- 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 October 13, 2026. Additional updates may be available on request.