Italy Postal Codes & Zip Codes - Format, List & Examples
Italy Postal Codes - Format, Structure & Examples by Region

Access structured postal-code and location data for Italy, including regions, provinces, cities, postal codes, and street-level mappings. Designed for validation, enrichment, logistics, analytics, and location-based applications.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 811,577 streets, 7,804 cities, and 4,678 postal codes across 20 regions of Italy. The most common street name is Via Roma, appearing 5,450 times in the dataset.
- 811,577 streets
- 7,804 cities
- 4,678 postal codes
- 20 regions
- Most common street: Via Roma (5,450 occurrences)
What This Data Can Be Used For
- Postal code validation and address cleanup
- Autocomplete for forms and search fields using city and postal code suggestions
- Location-based analytics and reporting by region, province, city, or postal code
- Database enrichment and deduplication for customer records
- Logistics, delivery planning, and route optimization using street-level data
- Mapping, geocoding, and geographic visualizations
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - administrative regions and provinces
- Locations file - cities and postal codes
- Streets file - street-level location data with postal-code mapping
- Addresses file - point-addresses with coordinates (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 | Province |
|---|---|---|---|
| IT | Italy | Emilia Romagna | FE |
| IT | Italy | Veneto | PD |
| IT | Italy | Toscana | LU |
Locations File
| Country Code | Country | Region | Province | City | Postal Code |
|---|---|---|---|---|---|
| IT | Italy | Veneto | VE | Cavallino-Treporti | 30013 |
| IT | Italy | Lazio | RM | Labico | 30 |
| IT | Italy | Sardegna | OR | Suni | 9090 |
Streets File
| Country Code | Country | Region | Province | City | Postal Code | Street | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| IT | Italy | Umbria | PG | Corciano | 6073 | Via Arco della Vittoria | 43.128290 | 12.287570 | 398 | STREET | 50 |
| IT | Italy | Sicilia | ME | Torrenova | 98070 | Piazza Marina | 38.094470 | 14.672900 | 4 | STREET | 50 |
| IT | Italy | Emilia Romagna | BO | San Giovanni in Persiceto | 40017 | Via Giorgio de Chirico | 44.636250 | 11.193150 | 23 | STREET | 50 |
Addresses File
| Country Code | Country | Region | Province | City | Postal Code | Street | Latitude | Longitude |
|---|---|---|---|---|---|---|---|---|
| IT | Italy | Piemonte | VB | Omegna | 28887 | Via Giuseppe Martinoli | 45.879460 | 8.406440 |
| IT | Italy | Emilia Romagna | PC | Morfasso | 29020 | Località Budelli | 44.691210 | 9.695090 |
| IT | Italy | Emilia Romagna | PC | San Giorgio Piacentino | 29019 | Via Vico Sachilone | 44.952820 | 9.736100 |
Sample data for preview purposes only.
Why This Dataset Is Useful
This dataset makes it easier to work with Italian postal and location data in a consistent, structured format. It helps standardize postal codes, improve form completion, match customer records, and support analysis by region, province, city, or postal code.
It is useful for teams building CRMs, business directories, delivery systems, mapping tools, geocoding services, and analytics platforms that rely on accurate postal-code and street-level data.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- Region
- Province
- City
- Postal code
- Street
- Latitude
- Longitude
- Elevation
- Geocoding level and 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; last updated on November 4, 2026. Additional updates may be available on request.