A single planning application near a property doesn't tell you much on its own. What matters is the pattern — and turning that pattern into a number you can actually act on is exactly what our gentrification score is built to do.
The Problem With Reading Planning Applications by Eye
Planning portals give you raw data: an address, a description, a decision status. What they don't give you is context — is a "change of use" application near this property a sign of exciting regeneration, or a warning sign? Is five nearby extension applications in the last year meaningful, or just normal background noise? Manually reading through planning descriptions for every property you're considering doesn't scale, and it's easy to miss the signal buried in bureaucratic wording.
We built a scoring system specifically to solve this.
Step One: Classifying Every Application by Likely Price Impact
Every planning application within range of a property gets classified into one of three categories, based on its description:
- Positive signal — keywords like "residential development," "new dwelling," "housing development," "regeneration," "mixed use development," "hotel," "student accommodation," "build to rent," or transport-related terms like "station," "metro," or "transport interchange." These typically precede rising local demand and values.
- Negative signal — keywords like "waste," "incinerator," "landfill," "industrial," "sub station," "telecommunications mast," "HMO," "hostel," or "betting"/"payday"/"pawnbroker" (a rough proxy for a struggling local high street). These are the kind of developments that tend to put downward pressure on nearby residential value or desirability.
- Neutral — everything else, which is most applications day to day (extensions, loft conversions, minor alterations).
This isn't sentiment analysis or a black-box model — it's a transparent, checkable keyword classification, so the logic behind any given signal is always inspectable rather than a mystery.
Step Two: Counting What's Actually Nearby
We calculate the straight-line distance (a haversine calculation, not a crude bounding box) from a property to every planning application in our database, and count how many fall within range. This nearby-application count becomes the raw input for the next step — a property in an area with 20+ recent planning applications is behaving very differently from one where nothing has been filed in years.
Step Three: Combining Planning Activity With Price Trend Into One Score
The final gentrification score (0–10) blends two independent signals:
- Local house price trend — recent HPI (House Price Index) percentage change for the area, worth up to 5 points (10%+ growth scores the maximum).
- Nearby planning activity volume — the application count from Step Two, worth up to 5 points (20+ nearby applications scores the maximum).
The combined score maps to a plain-English label: High gentrification pressure (9–10), Active gentrification (7–8), Moderate gentrification signals (5–6), Low activity (3–4), or Early stage / stable (0–2). A high score doesn't guarantee future price growth — no model can promise that — but it does mean two independent, real signals (what's already selling for more, and what's currently being built or converted nearby) are both pointing the same direction at once, which is a materially stronger indicator than either signal alone.
See It Applied to a Real Property
Every property analysis on PropertyAlert shows nearby planning application counts and their classification alongside the wider deal score — not as a separate report you have to go looking for. For the live picture of where planning activity itself is currently concentrated across our tracked areas, see where UK planning activity is concentrated right now.