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 | Valmieras nov. | Brenguļu pag. |
| LV | Latvia | Ludzas nov. | Nirzas pag. |
| LV | Latvia | Ludzas nov. | Goliševas pag. |
Locations File
| Country Code | Country | Region1 (Novads) | Region2 (Pagasts) | City (Pilesta Ciems) | Postal Code |
|---|---|---|---|---|---|
| LV | Latvia | Balvu nov. | Balvu pag. | Pilskalns | LV-4561 |
| LV | Latvia | Rēzeknes nov. | Audriņu pag. | Greivuļi | LV-4611 |
| LV | Latvia | Preiļu nov. | Vārkavas pag. | Stabuļnīki | LV-5335 |
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 | Augšdaugavas nov. | Demenes pag. | Demenes pag. | LV-5442 | Lamziedi | 55.7398033 | 26.5724168 | 167 | POSTAL_CODE | 5000 |
| LV | Latvia | Jelgavas nov. | Valgundes pag. | Tīreļi | LV-3017 | Jaunā iela | 56.8413116 | 23.5919456 | 6 | STREET | 50 |
| LV | Latvia | Dienvidkurzemes nov. | Bunkas pag. | Bunkas pag. | LV-3446 | Pļavnieki | 56.5106170 | 21.4672359 | 52 | POSTAL_CODE | 5000 |
Addresses File
| Country Code | Country | Region1 (Novads) | Region2 (Pagasts) | City (Pilesta Ciems) | Postal Code | Street (Iela) |
|---|---|---|---|---|---|---|
| LV | Latvia | Preiļu nov. | Aglonas pag. | Kundzinišķi | LV-5304 | Ezermala |
| LV | Latvia | Limbažu nov. | Skultes pag. | Vārzas | LV-4025 | 5. Ziemeļu iela |
| LV | Latvia | Kuldīgas nov. | Rudbāržu pag. | Rudbāržu pag. | LV-3330 | Vītoli |
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 November 4, 2026.