Postal Codes Dataset for Réunion, RE

211
Updated:
Files:1
Size:17.1 kB
Rows:152
Formats:csv
License:CC-BY-4.0

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

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Dataset Files

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/logistics/postal-codes-re/
https://datahub.io/logistics/postal-codes-re/_r/-/ATTRIBUTION.txt
https://datahub.io/logistics/postal-codes-re/_r/-/README.md
https://datahub.io/logistics/postal-codes-re/_r/-/datapackage.yaml
Key Files

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

datapackage.yaml— metadata & schema
https://datahub.io/logistics/postal-codes-re/_r/-/datapackage.yaml
README.md— documentation
https://datahub.io/logistics/postal-codes-re/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.yaml to inspect schema and resources
  2. 2. Download data resources listed in datapackage.yaml
  3. 3. Read README.md for full context

Data Files

postal-codes-re-sample

About

Last updated
9 October 2026
Total rows
100
Format
CSV
File size
11.2 kB
Source
GeoNames

About this dataset

Postal Codes Dataset for Réunion (RE)

This dataset lists the postal codes of Réunion with place names, WGS84 coordinates, administrative divisions and alternative city names.

Column definitions, row count, size and last-updated date are in datapackage.yaml.

Data Sources

  • Postal codes, place names, administrative divisions and coordinates: © GeoNames, postal code export for Réunion, CC BY 4.0.
  • Alternative city names: the GeoNames gazetteer for Réunion, same licence.

Changes made to the source data: place names and administrative division names cleaned (a parenthesised part is dropped, punctuation becomes a space and repeated spaces collapse), and an alternative city name added from the gazetteer where one matches the place name.

Not endorsed by, or affiliated with, GeoNames.

Known limitations

  • Administrative divisions: all three levels are provided by the source, but the second and third levels are blank for a few postal codes.

Usage

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

postal_code can start with 0 and must be read as text (dtype=str), or use the schema in datapackage.yaml.

For other inquiries, contact datahub@datopian.com