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Postal Codes Solution
Every worldwide postal-code dataset in one bundle — the ultimate global reference for precise postal codes.
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Data Files
Postal Codes Data Resource for Pakistan, PK
| Field | Description | Title |
|---|---|---|
| country_code | ISO 3166-1 alpha-2 code for the country. | Country Code |
| postal_code | Postal code for the location. | Postal Code |
| place_name | Name of the city, town, or place. | Place Name |
| admin_name1 | Primary administrative division (e.g., state, region). | Administrative Name 1 |
| admin_code1 | Code for the primary administrative division. | Administrative Code 1 |
| admin_name2 | Secondary administrative division (e.g., county, district). | Administrative Name 2 |
| admin_code2 | Code for the secondary administrative division. | Administrative Code 2 |
| admin_name3 | Tertiary administrative division (e.g., municipality, borough). | Administrative Name 3 |
| admin_code3 | Code for the tertiary administrative division. | Administrative Code 3 |
| latitude | Latitude coordinate of the place. | Latitude |
| longitude | Longitude coordinate of the place. | Longitude |
| accuracy | Accuracy level of the latitude and longitude coordinates. | Accuracy |
| alternative_city_name | Alternative name(s) for the city or place. | Alternative City Name |
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Download sample CSVAbout
- Last updated
- 3 September 2026
- Total rows
- ...
- Format
- CSV
- File size
- 158 kB
About this dataset
Pakistan (PK) — internal licensing notes
Source research, 2026-09-03 — tier-1 check done before defaulting to GeoNames
Per the project's own lesson (GeoNames is fallback, not default), checked
Pakistan Post's official site first, not GeoNames. Found and downloaded
the real official source: pakpost.gov.pk/images/national post code directory.pdf — the "National Post Code Directory," Part-I (Delivery
Post Offices), 45 pages, 2,563 rows, columns: office name, post code,
account office (parent GPO), province, attached branch office codes.
Extracted cleanly via pdfplumber (genuine text-based tables, not
scanned images).
Decisive cross-check: compared this official PDF extraction directly against GeoNames' PK export. Every single one of 2,563 (postal_code, place_name) pairs matches exactly, both directions, 0 discrepancies. GeoNames' PK data already reflects this exact official source — verified, not assumed — with WGS84 coordinates added on top. This means using GeoNames for PK is not a fallback-of-convenience here; it is confirmed to be the official source content, at zero extra build complexity from maintaining a separate PDF-parsing pipeline.
Verified directly against the raw source file:
admin_name1/admin_code1— Province/territory, 7/7 covered (Punjab, Sindh, Khyber Pakhtunkhwa, Balochistan, Gilgit-Baltistan, Azad Jammu and Kashmir, Federal Capital/Islamabad). GeoNames' own codes (02-08) are internal numbers, unrelated to ISO 3166-2:PK's real 2-letter codes (PK-BA,PK-PB, etc.) — verified against Wikipedia's ISO_3166-2:PK page 2026-09-03, name-based crosswalk required (same hazard class as JP/IN/CZ in this batch).- No admin2/admin3 tier exists in either the PDF or GeoNames — Pakistan Post's own directory stops at province + "account office" (a postal routing concept, the parent GPO a smaller office reports to, not a government administrative division). Disclosed as genuinely absent, not dropped.
- 0 exact duplicates, 0 (postal_code, place_name) collisions, 0 literal
"nan"strings. - The PDF's own province spellings have typos ("Punjba", "SIndh") — GeoNames' version is already correctly spelled, another sign it is a cleaned derivative of this same source rather than an independent gazetteer guess.
licence_status
{
"channel": "postal-codes-r2",
"source_url": "https://download.geonames.org/export/zip/PK.zip",
"licence_id": "CC-BY-4.0",
"collected_at": "2026-09-03",
"decision": "compatible",
"decided_by": "claude-session-2026-09-03",
"decided_at": "2026-09-03"
}
Proposed tier
B ($49). Real cross-verification work against an official government PDF (not a trivial GeoNames pass-through), 7/7 province coverage, clean data. Same shape as JP/IN/CZ's ISO-crosswalk builds.
Build — 2026-09-03
Built via datasets/pk/scripts/build_postal_codes_product.py.
| value | |
|---|---|
| Final rows | 2,563 |
| Provinces/territories covered | 7/7 |
| Distinct postal codes | 2,560 |
| (postal_code, place_name) collisions | 0 |
Frictionless validation: valid: True. Zero literal "nan" strings,
zero float-formatted accuracy, zero duplicates.
Status: built and validated locally only. Nothing published to R2, nothing committed to git yet.