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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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- 1. Fetch datapackage.yml to inspect schema and resources
- 2. Download data resources listed in datapackage.yml
- 3. Read README.md for full context
Data Files
Postal Codes Data Resource for Portugal, PT
| 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 |
Download
Download sample CSVAbout
- Last updated
- 7 November 2024
- Total rows
- ...
- Format
- CSV
- File size
- 8.2 kB
- Source
- Multiple sources
About this dataset
Portugal (PT) — internal licensing notes
Not mentioned in datahub-next#941 — no known licensing flag on this country. Sources: GeoNames PT postal export (CC BY 4.0) + CAOP (Carta Administrativa Oficial de Portugal — official Portuguese admin boundary register, DICOFRE crosswalk + freguesia geometry).
Session finding, 2026-08-19
Fixed pt/scripts/ from hardcoded other-repo paths to self-contained.
Verified via a genuinely fresh fetch (all caches deleted first): full
7-stage pipeline (fetch -> build -> DICOFRE enrichment -> spatial join ->
alt-name recovery -> integrity check -> package) produces exactly 14,538
rows, sorted-diff MD5-identical to live R2 (the only pre-sort difference was
non-deterministic tie-break ordering, not a data discrepancy). Rebuilt this
way specifically because the live R2 copy was produced by the same buggy
generic GeoNames-to-R2 script noted for Germany (463/500 sampled PT rows
showed .0-suffixed float-coerced admin codes).
No licensing review beyond confirming the two sources' licences — this was a code-reproducibility audit, not a licence audit.