Trust and coverage

Perfect Postcode data sources and coverage

Perfect Postcode combines property, transport, education, environment, and local-service datasets so buyers can compare postcodes consistently. This page explains what the data is for and where it should be verified.

Property and housing context

The product uses property transaction and housing-context datasets to support filters such as sale price, property type, tenure, floor area, energy performance, and estimated current value.

  • Use these fields to compare areas, not as a formal valuation.
  • Check current listings, title information, lender requirements, and survey results before buying.

Schools, safety, broadband, and environment

Local-context filters help compare postcodes on signals that affect daily life. They should be treated as screening data and checked against current official sources for decisions.

Travel-time data

Travel-time filters are designed for consistent area comparison. Route availability, disruption, parking, walking access, and timetable details should be verified before committing to an area.

Frequently asked questions

Why does coverage focus on England?

Several core property, education, and local-context datasets are jurisdiction-specific. England coverage keeps comparisons more consistent.

How should I handle stale or missing data?

Use the map as a shortlist tool. If a postcode matters, verify the latest details with current official sources and direct local checks.

Related pages

Follow these internal links to compare the same property-search workflow from another angle.