Why two homes on the same street are worth different amounts
Walk down a UK street. Number 14 has a refurbished kitchen, a south-facing garden, a clear loft conversion. Number 16 is tired, north-facing and unconverted. The market values them very differently. A traditional automated valuation model gives them the same number because all it has is the postcode. Offrly captures the difference.
- Free, ~30 seconds, no signup.
- Prices resolved closer to the street than to the postcode.
- Two homes a few doors apart can get very different estimates.
- Captures variation that postcode-average tools flatten away.
- Public accuracy report at /accuracy-report.
The walk-the-street test
If you walk down most UK residential streets, you can pick out the homes that have been recently done up versus the homes that haven't. You can see the gardens, the windows, the kerb appeal. You can guess which interiors are tired and which are sharp. Estate agents do this every day; experienced buyers learn the trick.
A postcode-average valuation tool can't. It uses postcode + beds + property type. So number 14 (refurbished kitchen, south-facing garden, loft-converted) gets the same number as number 16 (tired, north-facing, unconverted). The market doesn't price them the same. The tool does.
What hyperlocal pricing fixes
Offrly's model resolves prices closer to the street than to the broad postcode area. Two homes a few doors apart, especially on mixed-quality streets, can get materially different estimates. The mechanism is comparable selection: the AI weights comparables that look like this specific home — refurbished comparables for refurbished homes, tired comparables for tired ones, garden-rich for garden-rich. The estimate reflects the home, not an averaged-out neighbour.
Where this matters most
- Mixed-quality streets. Victorian terraces, ex-local-authority estates, post-war infill — these have wide condition variation home-to-home.
- Refurbishment projects. A mid-renovation home and a finished one next door are priced very differently. Offrly captures this.
- End-of-terrace vs mid-terrace. Often a £20–40k difference in the same row. Postcode tools can't tell which is which.
- Garden orientation. South-facing carries a real premium in the UK; north-facing doesn't. The photos reveal which is which.
- Extension and conversion status. Loft-converted, side-return, two-storey-rear — all visible in listing photos, all priced differently.
And the honest caveat
Hyperlocal pricing is a sharper free first-pass price than a postcode-average tool — but it's still indicative market guidance. The model can't see structural issues, lease finance items, planning enforcement, or anything that doesn't show up in listing photos. For binding purposes, you still want a RICS-qualified surveyor.
For a full read of what's in and out of the estimate, see How Offrly works. For our public accuracy figures, see /accuracy-report.
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Run a free valuation →FAQ: Offrly vs
How can two homes on the same street be worth different amounts?
Almost everything that drives price varies house-to-house: condition, garden orientation, layout, extension status, floor area, parking, kerb appeal. The street and postcode are constants; everything else isn't. Offrly's model captures the variation by weighting comparables that resemble *this specific home*, not a generic one in the same postcode.
Doesn't that mean Offrly contradicts the area average?
Often. The area average is what a representative home in the area sells for. A specific home is rarely the representative one. Offrly's job is to price the specific home, not the average — which is why two homes on the same street can land on different numbers, both legitimate, both more useful than the area average.
What if there are no recent sales on my street?
Offrly broadens the comparable search radius and weights more distant comparables less. The estimate range gets wider when comparable depth is thinner — that's the model telling you to treat the figure loosely. The confidence score on the result page reflects this.
Where is hyperlocal most useful?
Mixed-quality streets — Victorian terraces with some refurbished and some not, post-war estates with extension variation, conservation areas with strict and relaxed sub-blocks. Anywhere a street average would hide the answer.