Peru Postal Codes & Zip Codes - Format, List & Examples
Peru Postal Codes - Format, Structure & Examples by Region
Access structured postal code data for Peru, including postal codes, cities, streets, and administrative regions. Designed for logistics, address validation, analytics, enrichment, and location-based applications.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 90 postal codes across 591 cities and 25 regions of Peru.
- 90 postal codes
- 591 cities
- 25 regions
- Most common street name: Panamericana Sur (19 times)
What This Data Can Be Used For
- Postal code lookup and address validation
- Autocomplete for forms and search fields
- Logistics, delivery routing, and last-mile planning
- Data enrichment and customer record standardization
- Location-based analytics and mapping
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 locations within regions
- Streets file - street-level location data, with coordinates and geocoding details
- Addresses file - sampled address points 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 | Region2 | Region3 | Region4 |
|---|---|---|---|---|---|
| PE | Peru | Ica | |||
| PE | Peru | Loreto | |||
| PE | Peru | Constitutional Province of Callao |
Locations File
| Country Code | Country | Region | City | Postal Code |
|---|---|---|---|---|
| PE | Peru | Cajamarca | Chadín | |
| PE | Peru | Cusco | Pichigua | |
| PE | Peru | Arequipa | Bella Unión |
Streets File
| Country Code | Country | Region | City | Postal Code | Street | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|
| PE | Peru | Ancash | Rapayán | AN-692 | -9.321200 | -76.791566 | 3775 | STREET | 50 | |
| PE | Peru | Junín | La Oroya | Carretera Central | -11.523455 | -75.910824 | 3721 | STREET | 50 | |
| PE | Peru | Puno | Huacullani | PU-129 | -16.496350 | -69.391896 | 3878 | STREET | 50 |
Addresses File
| Country Code | Country | Region | City | Postal Code | Street | Number | Latitude | Longitude | Elevation (m) |
|---|---|---|---|---|---|---|---|---|---|
| PE | Peru | Puno | Caracoto | 21100 | Avenida Circunvalación | -15.580100 | -70.100372 | 3820 | |
| PE | Peru | Arequipa | Yura | R126 | -15.959957 | -71.625243 | 3694 | ||
| PE | Peru | Lima | Mariatana | LM-837 | -12.295467 | -76.345323 | 2052 |
Sample data for preview purposes only.
Why This Dataset Is Useful
This dataset makes it easier to work with Peruvian postal code and location data in a structured format. It helps standardize postal code inputs, improve form completion, enrich customer records, and support analysis by city, postal code, street, or region.
It is useful for teams building CRMs, delivery systems, mapping tools, business intelligence, and any application that relies on accurate Peruvian postal and location data.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- Region
- City
- Postal code
- Street
- Latitude
- Longitude
- Elevation
Formats and Delivery
Files are available in CSV, Excel, SQL, and XML formats, 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 September 22, 2026.