Postal Codes Dataset for Oman, OM

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Updated:
Files:1
Size:16.7 kB
Rows:218
Formats:csv

Postal Codes Dataset for Oman, OM 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-om/
https://datahub.io/logistics/postal-codes-om/_r/-/.licensing-notes.md
https://datahub.io/logistics/postal-codes-om/_r/-/.migration-notes.md
https://datahub.io/logistics/postal-codes-om/_r/-/ATTRIBUTION.txt
https://datahub.io/logistics/postal-codes-om/_r/-/README.md
https://datahub.io/logistics/postal-codes-om/_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-om/_r/-/datapackage.yaml
README.md— documentation
https://datahub.io/logistics/postal-codes-om/_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-om-sample


About this dataset

Oman Postal Codes (OM)

Oman uses 3-digit postal codes that identify a P.O. Box delivery office, not a street geography. There is no house-level or street-level postal geography in Oman; addresses are delivered to boxes held at the office that the code identifies.

This dataset lists those codes with the locality or post-office town served, the wilayat and governorate, and coordinates where available.

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

Data Sources

  • Administrative divisions (governorates and wilayats): © National Centre for Statistics and Information (NCSI), Sultanate of Oman, Statistical Year Book 2026, Issue 54, licensed under the Open Government License – Sultanate of Oman, which permits re-use "for any purpose including commercial purposes" with no condition other than attribution.
  • Coordinates: © GeoNames, OM geographic dump, CC BY 4.0.
  • Postal codes: the 3-digit codes are inherited from an earlier build whose origin is not documented. Oman Post's site returns 404 following the Asyad rebrand, and neither GeoNames nor Wikipedia publishes an Oman postal file, so no upstream corroboration was available. The codes are treated as unverified pending a primary source.

Contains information from the National Centre for Statistics and Information,
Sultanate of Oman, licensed under the Open Government License – Sultanate of Oman.

Changes made to the source data: transliteration and mapping corrections were applied to place and administrative names, each carrying its own written evidence; admin_code1 is the ISO 3166-2:OM governorate code with the OM- prefix stripped.

Not endorsed by, or affiliated with, NCSI or GeoNames.

Known limitations

  • admin_code2 and admin_code3 are empty: Oman publishes no numeric code at the wilayat or locality tier. admin_name3 is the same as place_name.
  • Every wilayat is represented, but a few have no postal record in the source; their placeholder rows in the internal build are excluded from this file, so those wilayats do not appear with real codes.
  • Coordinates cover only some rows. Rows without a coordinate are left empty rather than filled with a plausible-looking guess. Where present, accuracy is AREA.
  • Some source stations could not be matched to a wilayat inside their coded governorate. Those rows keep the governorate exactly as the source coded it and fall back to the station name — the source's own routing assignment is never overridden.
  • Postal code origin is unverified, as described under Data Sources.

The governorate code letters encode Arabic, not English

J = janūb (south), S = shamāl (north):

  • SJ = Ash Sharqiyah South · SS = Ash Sharqiyah North
  • BJ = Al Batinah South · BS = Al Batinah North

Reading SS as "Sharqiyah South" is the intuitive English guess and it is wrong. OM-BA and OM-SH were split and recoded in 2015 and never appear here.

Usage

The dataset files are available in CSV format and can be accessed and downloaded using the links provided in datapackage.yaml. Read postal_code as text, never as a number: a naive pd.read_csv() will coerce it to an integer.

import pandas as pd
df = pd.read_csv("om.csv", dtype=str)

For other inquiries, contact datahub@datopian.com