One number.
Six essentials.
Your neighbourhood, decoded.
Choosing where to live in London is one of the biggest financial decisions you'll make. Most property sites show you prices and photos. We show you what it's actually like to live there — scored, sourced, and verified so you can compare neighbourhoods on the things that matter to your daily life.
The PAL Score is how we do it: a single 0–100 number, scored the same way for every neighbourhood, so any two areas can be compared on equal terms.
Why 61 is a good score.
First thing to know: the PAL Score isn't marks out of 100. It's a comparison. Every London neighbourhood is lined up against every other on the same data, and the score tells you where this one lands.
The typical London neighbourhood sits at 50. Anything higher is above the London average. Anything lower is below. A score of 61 isn't just nudging past average — it sits comfortably in the Very Good band, where the stronger London neighbourhoods land.
Most London neighbourhoods score between 40 and 65. It's hard to score very high because you're being compared against every other corner of the capital at once. An Excellent score (75+) is rare. A Challenged one (below 30) signals real weaknesses.
What the ranges mean
Bands are guidance, not hard cut-offs — two neighbourhoods with the same label can feel very different once you look at the breakdown.
Why this scoring system is more meaningful than a school grade or star rating
You've seen scores your whole life — school marks, TripAdvisor stars, "best of" magazine lists. Most of them share a flaw the PAL Score avoids.
- I.School marks measure right-or-wrong answers. Neighbourhoods don't work that way. There's no "perfect score" to aim for, and two areas in the same borough can score very differently. PAL compares every neighbourhood to the London middle, so your number tells you where this one actually sits — not how far it is from some imaginary ideal.
- II.Star ratings average what different people want. A family marking a place down for its noisy pubs and a young professional marking the same place up for the same reason cancel out to a meaningless middle. PAL's five profiles break that apart — the same neighbourhood gets a different score for each kind of buyer.
- III.Most "area rankings" are one person's taste in a number. Property sites and magazine round-ups don't publish their working. PAL does — every data source, every weight, every formula is on this page or the methodology page. You can check our maths against the Land Registry, Ofsted, and the Met Police yourself.
The six questions every buyer asks.
The PAL Score is a single number from 0 to 100 that captures how well a London neighbourhood suits how you actually want to live. Because one number can't tell the whole story, we break it into six essentials people consistently care about when choosing a home.
- I.Property Price AffordabilityCan I afford it here? We use HM Land Registry sold prices — what properties actually changed hands for — and compare them against expected prices for the zone. Areas where prices sit below their zone average score higher.
- II.Transport ConnectivityHow easily can I get around? Tube zone, journey times to central hubs, and how many transport options you have. An area with the Elizabeth line, DLR, and Overground scores higher than one with a single bus route — because when the Northern line is down, you need a Plan B.
- III.Crime RateWill I feel safe walking home? Metropolitan Police recorded crime data at LSOA level, on a 12-month rolling window, compared against the London average. We use trends, not single months, because one bad quarter doesn't define a neighbourhood.
- IV.School QualityCan my children get a good education here? Ofsted Outstanding-rated schools, the proportion of local schools that are Outstanding or Good, and whether there are enough schools for genuine choice. An area with 17 Outstanding schools scores very differently from one with 2.
- V.Green Space AccessIs there somewhere to breathe? Size, number, and proximity of parks using Ordnance Survey and ONS data. A 125-acre park on your doorstep scores higher than a pocket garden three bus stops away.
- VI.Local AmenitiesCan I live my life within walking distance? Shops, GPs, gyms, cultural venues, food and drink density — via OpenStreetMap and the Food Standards Agency. Everyday essentials, weighted by how close they are.
How the six essentials look for one illustrative neighbourhood. Schools (88) carries the top end; affordability (35) pulls it back. The shape of a guide at a glance.
Five personas, five different answers.
A couple buying their first flat cares more about price and commute. A family with school-age children cares more about Ofsted ratings and safety. So rather than pretend one ranking suits everyone, we weight the six criteria for five buyer personas — the same underlying data, viewed through five different lenses.
- I.Young Professional. Solo or couple, no children. Prioritises lifestyle and connectivity.
- II.Young Family. Has children or planning them. Prioritises schools, safety, space.
- III.Solo Commuter. Value and connectivity first; lifestyle secondary.
- IV.Investment Buyer. Yield, growth potential, neighbourhood trajectory.
- V.Lifestyle Seeker. Environment, green space, quality of life.
Pick a persona and the score reweights. The Overall score is always there too — an equal-weight average — for quick at-a-glance comparison.
Brixton scored through each of the five profiles. Same underlying data, different weights — different answer. The Young Family profile is highlighted.
No black boxes. Every step, in the open.
For each of the six criteria, we follow the same five-step pipeline:
- I.Start with the raw public data (Land Registry, TfL, Ofsted, and so on).
- II.Cap extreme outliers at the 1st and 99th percentile — one Mayfair-level value shouldn't distort everyone else's score.
- III.Calculate a z-score: how far each neighbourhood sits from the London average, measured in standard deviations.
- IV.Flip the sign where lower is better (crime rate, property price), so higher always means better.
- V.Convert to a 0 – 100 number: 50 is exactly average, 100 is three standard deviations above, 0 is three below.
Then we apply the persona weighting you chose, and — if you've added any optional "toppings" like air quality or flood risk — blend them in and renormalise so everything sums to 100%.
Brixton, as a young family.
Brixton is a Zone 2 neighbourhood with outstanding schools, a strong high street, and above-average crime. Here's how it scores for the Young Family persona.
Change the persona to Solo Commuter and the calculation shifts — schools drops from 30% to 5% of the weighting, while affordability and transport carry more weight. The Solo Commuter view of Brixton lands at ≈ 52, where the Young Family scored ≈ 61. Same neighbourhood, different story.
Six lines we hold by design.
- I.We don't use asking prices. Rightmove asking prices reflect what sellers hope for, not what buyers pay. We use Land Registry sold prices because they're what actually happened.
- II.We don't use sentiment or reviews. "Up-and-coming" is subjective. If a neighbourhood is genuinely improving, it'll show up in the numbers.
- III.We don't hide the workings. The full methodology — formulas, worked calculations, and the open-source pipeline — is published alongside this guide.
- IV.We don't pretend one score fits everyone. That's why we have five personas.
- V.We don't sell property. We're not an estate agent. We don't earn commission on sales or rentals. Our incentive is to be accurate, not to talk up areas.
Where every number actually comes from.
Every number on Property Around London traces back to a named, publicly accessible data source. We don't use proprietary models, sentiment analysis, or "market intelligence" you can't verify.
- I.Property prices — HM Land Registry Price Paid Data. Every property sale in England and Wales, updated monthly.
- II.Transport — TfL journey planner, TfL PTAL and National Rail timetables. Actual fastest journeys, not straight-line distances.
- III.Crime — Metropolitan Police recorded crime, published via data.police.uk. LSOA-level, rolling 12-month windows.
- IV.Schools — Ofsted inspection reports via DfE's Get Information About Schools (GIAS), refreshed daily by automation.
- V.Green space — Ordnance Survey Open Greenspace + ONS green space analysis. We verify park sizes rather than rely on satellite estimates.
- VI.Amenities — OpenStreetMap via the Overpass API + Food Standards Agency food hygiene ratings.
Shortlist, compare, decide.
Shortlisting
Use the Overall score and whichever persona matches your profile to narrow London's 170+ neighbourhoods down to a manageable list of five to ten. Filter by zone, budget, and minimum score. This saves you weeks of casual browsing and gut-feel elimination.
Comparing
Once you have a shortlist, use the six criterion scores to understand the trade-offs. Two neighbourhoods might both score 62 overall — but one via excellent transport and weak green space, while the other has the opposite profile. The breakdown shows you where you're compromising, so the compromise is at least a conscious one.
No rating system captures everything that makes a neighbourhood home — the local coffee shop, the view from the high street, whether the Saturday market has a decent fishmonger. The PAL Score tells you the measurable facts. The rest is yours to discover.
What the PAL Score saves you is months of unguided weekend trekking and the marketing dressed up as advice. The shortlist takes minutes; the Saturdays that follow happen in the right neighbourhoods, not every weekend for a year.
Read the full neighbourhood guides at propertyaroundlondon.com.