Latvia Postal Codes & Zip Codes - Format, List & Examples
Latvia Postal Codes - Format, Structure & Examples by Novads
Access structured postal-code and location data for Latvia, focused on postal codes and the country’s administrative subdivisions (novads and pagasts). Designed for business, analytics, logistics, data enrichment, and location-based applications that need accurate Latvian postal-code coverage.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 179,993 streets, 5,575 cities and 694 postal codes across 42 novads of Latvia.
- 179,993 streets
- 5,575 cities
- 694 postal codes
- 42 novads
What This Data Can Be Used For
- Postal code validation and cleanup
- Autocomplete for address forms and search fields
- Location-based analytics and reporting by novads or city
- Database enrichment and customer record matching
- Logistics, delivery routing, and geographic planning
- Mapping tools and spatial analysis
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - administrative novads and pagasts
- Locations file - cities and postal codes
- Streets file - street-level location data with geocodes
- Addresses file - sampled addresses with house numbers
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 | Region1 (Novads) | Region2 (Pagasts) |
|---|---|---|---|
| LV | Latvia | Ventspils nov. | Zlēku pag. |
| LV | Latvia | Aizkraukles nov. | Neretas pag. |
| LV | Latvia | Dobeles nov. | Dobeles pag. |
Locations File
| Country Code | Country | Region1 (Novads) | Region2 (Pagasts) | City (Pilesta Ciems) | Postal Code |
|---|---|---|---|---|---|
| LV | Latvia | Ludzas nov. | Ciblas pag. | Jurāni | LV-5709 |
| LV | Latvia | Līvānu nov. | Turku pag. | Robežnieki | LV-5312 |
| LV | Latvia | Ludzas nov. | Isnaudas pag. | Jurizdika | LV-5701 |
Streets File
| Country Code | Country | Region1 (Novads) | Region2 (Pagasts) | City (Pilesta Ciems) | Postal Code | Street (Iela) | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| LV | Latvia | Ludzas nov. | Isnaudas pag. | Isnauda | LV-5701 | Veckrogs | 56.5131129 | 27.7532967 | 138 | STREET | 50 |
| LV | Latvia | Tukuma nov. | Engures pag. | Engure | LV-3113 | Laimiņi | 57.1437422 | 23.2265908 | 14 | STREET | 50 |
| LV | Latvia | Kuldīgas nov. | Vārmes pag. | Vārmes pag. | LV-3333 | Tauriņi | 56.8630828 | 22.2382874 | 69 | POSTAL_CODE | 5000 |
Addresses File
| Country Code | Country | Region1 (Novads) | Region2 (Pagasts) | City (Pilesta Ciems) | Postal Code | Street (Iela) |
|---|---|---|---|---|---|---|
| LV | Latvia | Saulkrastu nov. | Sējas pag. | Sējas pag. | LV-2142 | Alvīnes |
| LV | Latvia | Balvu nov. | Rugāju pag. | Rugāju pag. | LV-4570 | Smēdeskalns |
| LV | Latvia | Rēzeknes nov. | Vērēmu pag. | Veremes | LV-4647 | Viršu kalns |
Sample data for preview purposes only.
Why This Dataset Is Useful
This database makes it easier to work with Latvian postal and location data in a structured format. It helps standardize postal-code inputs, improve form completion, match customer records, and support analysis by novads, city, postal code, or street.
It is useful for teams building CRMs, business directories, delivery and routing systems, mapping tools, and reporting platforms that require accurate Latvian postal-code coverage. The most common street name in the dataset is Kalni (548 occurrences).
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- Region1 (Novads)
- Region2 (Pagasts)
- City
- Postal code
- Street
- Latitude
- Longitude
- Elevation
- Geocoding level
- Accuracy radius
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 extracts are produced periodically. Updated on October 13, 2026.