Postal Codes Dataset for Mauritius, MU

144
Updated:
Files:1
Size:120 kB
Formats:csv

Postal Codes Dataset for Mauritius, MU 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-mu/
https://datahub.io/logistics/postal-codes-mu/_r/-/.licensing-notes.md
https://datahub.io/logistics/postal-codes-mu/_r/-/README.md
https://datahub.io/logistics/postal-codes-mu/_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-mu/_r/-/datapackage.yml
README.mddocumentation
https://datahub.io/logistics/postal-codes-mu/_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

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Postal Codes Data Resource for Mauritius, MU

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About

Last updated
27 August 2026
Total rows
...
Format
CSV
File size
120 kB

About this dataset

Postal Codes Dataset for Mauritius (MU)

This dataset contains Mauritian postal codes — 1,590 rows across all 11 districts, locality-level granularity, 100% coded.

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 and locality names are sourced from mus.youbianku.com, scraped district-by-district across all 11 Mauritian districts.

Licensing status — read before commercial use. This dataset's licence status is unresolved: the source site states no licence and does not cite an upstream data source anywhere on the site. See ATTRIBUTION.txt for the full disclosure. Contact datahub@datopian.com before relying on this dataset under a licence that requires a confirmed redistribution grant.

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_code1 must be read as text (dtype=str) — a naive pd.read_csv() can otherwise mis-handle leading zeros.

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