Brazil Postal Codes & Zip Codes - Format, List & Examples
Brazil Postal Codes - Format, Structure & Examples by State
Access structured postal code data for Brazil, focused on postal codes with accompanying city, street, and state information. Designed for business, analytics, logistics, data enrichment, and location-based applications that rely on accurate Brazilian postal codes and state-level organization.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 981,251 postal codes across 5,301 cities in 27 states, with 769,591 addresses. The most common street name in the dataset is Rua São e M Denominacao, appearing 3,155 times.
- 981,251 postal codes
- 769,591 addresses
- 5,301 cities
- 27 states
- Most common street: Rua São e M Denominacao (3,155 occurrences)
What This Data Can Be Used For
- Postal code validation and address standardization for Brazilian addresses
- Autocomplete and form completion using verified postal codes and cities
- Location-based analytics and reporting by city, postal code, or state
- Database enrichment and customer record matching
- Logistics, delivery routing, and last-mile planning using postal codes
- Mapping, geocoding, and proximity searches with street- and address-level data
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - administrative states and subdivisions
- Locations file - cities and postal codes
- Streets file - street-level location data with geocodes
- 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 | Region2 | Region3 | Region4 |
|---|---|---|---|---|---|
| BR | Brazil | Pernambuco | Mata Setentrional Pernambucana | Vicência | - |
| BR | Brazil | Minas Gerais | Caratinga | São Domingos das Dores | - |
| BR | Brazil | Santa Catarina | São Miguel d'oeste | Itapiranga | - |
Locations File
| Country Code | Country | Region | City | Postal Code |
|---|---|---|---|---|
| BR | Brazil | Santa Catarina | Chapecó | 89806-279 |
| BR | Brazil | Rio de Janeiro | Rio de Janeiro | 23036-434 |
| BR | Brazil | Rio Grande do Sul | Pelotas | 96050-040 |
Streets File
| Country Code | Country | Region | City | Postal Code | Street | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|
| BR | Brazil | São Paulo | Três Fronteiras | 15770-000 | Rua Marginal I | -20.2294017 | -50.8925710 | 408 | STREET | 50 |
| BR | Brazil | Paraná | Cantagalo | 85160-000 | Sitio Fachinalzinho | -25.3735238 | -52.1238114 | 832 | CITY | 1000 |
| BR | Brazil | Pará | Ananindeua | 67125-728 | Alameda Maria Carmona | -1.3351670 | -48.3991995 | 10 | STREET | 50 |
Addresses File
| Country Code | Country | Region | City | Postal Code | Street | Number | Latitude | Longitude | Elevation (m) |
|---|---|---|---|---|---|---|---|---|---|
| BR | Brazil | Mato Grosso do Sul | Caarapó | 79940-000 | Chacara Santo Antoni o | -22.6816127 | -54.8516486 | 441 | |
| BR | Brazil | Rio Grande do Norte | Natal | 59035-155 | Vila Adolfo | -5.827896 | -35.235299 | 31 | |
| BR | Brazil | Minas Gerais | Engenheiro Navarro | 39363-000 | Rua Mateus Goncalves Ribeiro | -17.2866220 | -43.9515719 | 674 |
Sample data for preview purposes only.
Why This Dataset Is Useful
This dataset makes it easier to work with Brazilian postal codes and related location data in a structured format. It helps standardize postal code inputs, improve form completion, match existing customer records, and support analysis by city, postal code, street, or state.
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 tailored to Brazil.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country Code
- Country
- Region / State
- 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; see the product page for update details. Updated on October 13, 2026.