Comprehensive directory for the DEPTO DE PETEN hub. Our registry indexes 30 geocoded administrative entries across 30 distinct localities.
Based on 30 records, 30 postal code values and 30 mapped localities. Coordinate coverage is 100.0%.
| Postal code | Locality | Administrative path | Coordinates |
|---|---|---|---|
| 17000 | DEPTO DE PETEN | DEPTO DE PETEN | 16.7663, -89.8155 |
| 17001 | FLORES | DEPTO DE PETEN | 16.9333, -89.8833 |
| 17002 | SAN JOSE | DEPTO DE PETEN | 16.9833, -89.9 |
| 17003 | SAN BENITO | DEPTO DE PETEN | 16.9167, -89.9 |
| 17004 | SAN ANDRES | DEPTO DE PETEN | 16.9667, -89.9167 |
| 17005 | LA LIBERTAD | DEPTO DE PETEN | 16.7833, -90.1167 |
Use this page to browse the administrative hierarchy, compare representative postal codes and move to related areas without guessing slugs. The canonical route for this record set is /postal-codes/guatemala/depto-de-peten.
| Code | Place | Hierarchy | Coordinates |
|---|---|---|---|
| 17000 | DEPTO DE PETEN | DEPTO DE PETEN | 16.7663, -89.8155 |
| 17001 | FLORES | DEPTO DE PETEN | 16.9333, -89.8833 |
| 17002 | SAN JOSE | DEPTO DE PETEN | 16.9833, -89.9 |
| 17003 | SAN BENITO | DEPTO DE PETEN | 16.9167, -89.9 |
| 17004 | SAN ANDRES | DEPTO DE PETEN | 16.9667, -89.9167 |
It connects 30 postal records in Guatemala with child areas, related prefixes, examples and download/API paths.
Use the child-area cards, parent breadcrumbs and related prefix links to move through the canonical hierarchy.
Large administrative pages keep bounded HTML for speed and expose full coverage through dataset exports.
DEPTO DE PETEN is a key administrative jurisdiction within Guatemala. Our registry provides a comprehensive overview of its internal divisions, facilitating precise spatial analysis and logistical mapping across its 30 localities.
Use these prefix ranges when you know the first digits or letters of a local postal identifier. Each link opens a country-level range with matching localities and coordinates.
Access the complete administrative registry for DEPTO DE PETEN. Structured datasets available in XLSX, CSV, and JSON formats for immediate integration.