Methodology & data

How the score is built — and where the numbers come from.

A score you can't inspect is just an opinion with a number on it. So here's exactly how PropScore reaches the number, what data feeds it, and — just as important — what it doesn't know.

The score

Six factors, each one visible

The 0–100 headline is a weighted blend of six factors. Each is scored on its own and shown with a written reason, so you can see why the number is what it is — and disagree with any part of it.

Location & quality

The neighbourhood, transport, services and the condition of the property itself — how good a place it is to live in or let.

Price vs the market

The asking price against a fair-value estimate for that exact area (see the valuation below). Above the range costs points; inside it doesn't.

Local risks

The market-specific traps — lease terms, rent caps, cladding, off-plan delivery — each named, explained and weighted.

Yield

Your rental return after tax, fees and running costs, modelled for the country the property is in — not the gross number on the ad.

Liquidity & resale

How easily, how fast, and to whom you could sell it again — based on real time-on-market where we have it.

Growth potential

The zone's recent trend and the structural case for (or against) appreciation — honest about how uncertain that is.

The valuation

A fair-value estimate from real evidence

The price check blends up to three independent estimators, each weighted by how much we trust it. More agreement between them means higher confidence; disagreement lowers it and gets flagged.

01

Registry sold prices

Actual recorded sales for the area (e.g. Ireland's Property Price Register, HM Land Registry in the UK) — recent sales count for more, extreme outliers are trimmed, and same-development sales weigh heaviest.

02

Zone price per m²

The going rate per square metre for that segment and zone, multiplied by the property's floor area — a size-aware cross-check the raw sold-price median can't give.

03

Live comparable sales

Recently listed or sold comparables gathered per property, priced per m² and scaled to this property's size.

The three are blended into one fair-value range. The asking price is scored against that range — priced inside it is fair and never reads as a risk; well above it costs points.

The data

Where the numbers come from

Different markets publish different things. We're specific about the source in every report, and honest that some markets have thinner public data than others.

Ireland

  • Property Price Register — official recorded sale prices.
  • Zone prices, rents and trend from live research.
  • Rent caps, vacancy tax and grant status per area.

United Kingdom

  • HM Land Registry — real comparable sold prices.
  • Zone rents and time-on-market from live research.
  • Lease terms, cladding status and service-charge signals from the listing.

Brazil

  • No central sold-price registry — we lean on live research and portal data.
  • Segment price-per-m², achievable rents and IPTU per zone.
  • Builder track record and condominium costs where disclosed.

Everywhere else

  • The listing itself, plus live research on zone prices, rents and taxes.
  • Honest confidence: thinner data means a lower-confidence score, and we say so.

Honest confidence

What the score doesn't know

Every score carries a confidence level, and it's earned: many tightly-clustered comparables raise it; few, or widely-scattered ones, lower it. A missing rent, an unknown lease length or a market with no public sold prices all drag confidence down — and the report says which. We'd rather show you a hedged number you can trust than a confident one you can't.

See it work on a real property