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Data sources

What BrickMap checks

BrickMap combines public and internal evidence layers to build a practical view of price, rent, area activity, and planning signals.

Price evidence

Sold-price analysis is based on Land Registry-style transaction evidence, postcode matching, property type signals, and exact-address history where available.

  • BrickMap prefers exact-sale and same-postcode evidence before widening to sector or outcode context.
  • Exact-sale matches are ranked by house-number similarity and text similarity inside the same postcode, not by postcode alone.
  • Postcode evidence is useful for market reality checks, but it is not the same as a title-accurate property valuation.
  • Where comp quality is weak, BrickMap should show lower confidence rather than pretending to know the answer.

Rental evidence

Rental benchmarks use the strongest available local rent evidence, official area benchmarks, and transparent confidence labels when the sample is limited.

  • Nearby rental comparables rank above broad area averages.
  • Official ONS / VOA rent snapshots are treated as benchmark guidance, not guaranteed achievable rent.
  • Fallback yield-curve rents are clearly weaker than direct rental comparables and should be read as directional only.

Planning and area signals

Planning records, nearby constraints, local activity, and area-level indicators are used to highlight risks and opportunities that need human verification.

  • Nearby planning dossiers are proximity-led snapshot matches around the resolved postcode centroid, not title-bound site searches.
  • Raw planning statuses are normalised into clearer labels such as approved, refused, withdrawn, or pending where possible.
  • Planning feeds are not the same as a full legal due-diligence pack or local authority file review.
  • Area pages are market briefs, not parcel-level land intelligence.
  • Whenever source freshness or coverage is thin, BrickMap should expose that directly on the page.

What BrickMap still needs

BrickMap is improving, but some of the strongest investor-grade data layers are still not present yet.

  • Parcel and title-style boundaries
  • Stronger building footprint and geometry coverage
  • Better listing history and liquidity signals
  • More reliable rent and planning freshness metadata across every surface