Postal Codes Dataset for Brazil, BR

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License:MITCC-BY-4.0

Postal Codes Dataset for Brazil, BR including name of the city, town, or place, various administrative divisions and alternative city names.

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API Access

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Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/logistics/postal-codes-br/
https://datahub.io/logistics/postal-codes-br/_r/-/.licensing-notes.md
https://datahub.io/logistics/postal-codes-br/_r/-/README.md
https://datahub.io/logistics/postal-codes-br/_r/-/datapackage.yml
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.ymlmetadata & schema
https://datahub.io/logistics/postal-codes-br/_r/-/datapackage.yml
README.mddocumentation
https://datahub.io/logistics/postal-codes-br/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.yml to inspect schema and resources
  2. 2. Download data resources listed in datapackage.yml
  3. 3. Read README.md for full context

Data Files

Postal Codes Data Resource for Brazil, BR


About this dataset

Postal Codes Dataset for Brazil (BR)

This dataset contains Brazilian CEP postal codes — 1,233,231 rows covering all 27 states and the Federal District, across 5,570 municipalities.

Granularity note: postal_code is the full 8-digit CEP (NNNNN-NNN), assigned at street-segment / delivery-zone level. place_name is bairro (neighborhood), the CEP system's own sub-municipal unit — a postal delivery convention, not a formally bounded IBGE administrative district. The primary key is (postal_code, place_name), never postal_code alone: one CEP legitimately carries several bairro rows in some cities.

Compound bairro names: 209 rows have a source CEP assigned to a zone spanning two named neighborhoods (e.g. "Jardim Monte Cristo/Parque Oziel"). place_name carries the first component only; the full compound name is preserved in alternative_city_name.

Note: This dataset is a sample containing the first 100 rows. If you need access to the complete dataset, please contact our sales team for more information: datahub@datopian.com

Data Sources

Postal codes are consolidated from two sources for coverage: SeuAliado/OpenCEP (MIT License), the primary bulk CEP source, and Mendeley Data's "Códigos de CEP do Brasil por UF, CIDADE, BAIRRO E LOGRADOURO" by Ivan Zimmermann (CC BY 4.0). State and municipality reference data comes from IBGE (Instituto Brasileiro de Geografia e Estatística), the Brazilian federal statistics agency, and kelvins/municipios-brasileiros (MIT License). admin_code1 is the ISO 3166-2:BR state code; admin_code2 is the IBGE municipality code.

A small subset of rows (roughly 7,000 of 1,233,231) was originally sourced via a community site whose terms publish no explicit data-reuse licence and could not be cleanly isolated from the consolidated data during rebuild — contact datahub@datopian.com before relying on this dataset under a licence that requires clean chain-of-title for every row.

Usage

The dataset files are available in CSV format and can be accessed and downloaded using the links provided in the datapackage.yml.

postal_code and admin_code2 carry significant leading zeros / all-digit strings and must be read as text (dtype=str), or use the schema in the packaged datapackage.json.

For access to the full dataset or other inquiries, please contact our sales team at datahub@datopian.com