Every report is built from seven live UK government and open data sources, fetched in parallel at the time of request. No cached data. No estimates. No surveys.
Geocoding (latitude/longitude), LSOA code and name, local authority, ward, constituency, and region. Acts as the entry point for all other lookups.
Street-level crime incidents from the last 3 months, broken down by category (theft, violence, burglary, and so on). Includes monthly trend data for direction-of-travel analysis.
Index of Multiple Deprivation. Ranks 33,755 Lower Super Output Areas across income, employment, health, education, and living environment. Decile 1 = most deprived, decile 10 = least deprived.
Nearby amenities: schools within 1.5km, food and shops within 1km, transport stations within 2km, bus stops within 500m, parks and healthcare facilities.
Flood risk zones within 3km, active flood warnings within 5km, and identified rivers at risk. Data is fetched live per request.
Actual sold prices from the last 12 months via SPARQL query. Median and mean prices, year-on-year change, property type breakdown (detached, semi, terraced, flat), tenure split, and price range.
School inspection ratings (Outstanding, Good, Requires Improvement, Inadequate). England only.
The intent determines which dimensions are scored and how they are weighted. Different use cases care about different things. Moving prioritises safety and schools. Business prioritises foot traffic and spending power.
Weights are calibrated internally and are not published.
movingMoving· Residential relocationbusinessBusiness· Commercial viabilityinvestingInvesting· Property investmentresearchResearch· General area profileEach dimension has a dedicated scoring function. Inputs go in, a number between 0 and 100 comes out. No randomness. No AI-generated numbers. Below is a plain-English breakdown of what each function considers.
Uses the last 3 months of police.uk crime data. Rising crime is penalised, falling crime is rewarded, and violent crime concentration is weighted appropriately.
Rail and bus connectivity combined into a single accessibility score. Benchmarked against area type so rural postcodes are judged against other rural postcodes.
School and educational facility density nearby, with a diminishing returns curve. One good school matters more than many middling ones.
Weighted composite across education, food and drink, healthcare, retail, and green spaces. Each category normalised against area-type benchmarks.
Official deprivation indices (IMD for England, WIMD for Wales, SIMD for Scotland). Maps decile ranking to a score that reflects the socioeconomic profile of the neighbourhood.
Combines flood risk zones, active flood warnings, and green space availability. Areas with no flood risk and good park access score highest.
Uses Land Registry sold prices as the primary input. Scored as a ratio of local median to national median. Falls back to deprivation data when price data is unavailable.
Business reports use derived scores that combine transport, amenity, and deprivation data into commercially relevant metrics.
Transport connectivity combined with commercial activity density. Strong rail, bus, and retail presence indicates higher natural footfall.
Measures commercial saturation nearby. Lower density scores higher. Useful for identifying underserved areas with unmet demand.
Derived from deprivation indices as a proxy for local disposable income. Correlates with footfall quality, not just volume.
Uses Land Registry property values as a proxy for commercial rents and overheads. Higher local property prices mean higher commercial costs.
Investing reports combine deprivation data, transport connectivity, crime statistics, and flood risk into investment-focused metrics.
Real year-on-year price changes from Land Registry. Moderate growth scores highest, sharp declines and flat markets score lower.
Uses Land Registry median prices as the yield denominator. Adjusts upward for strong local amenities and transport that drive tenant demand.
Development potential. Higher-deprivation areas with good transport links score highest. Already-developed premium areas score lower.
Composite of transport connectivity, local amenities, bus coverage, and commercial activity.
Crime and environmental risk combined into a single downside metric. Active flood warnings or elevated crime see significant reductions.
The numbers on a report are computed. The words around them are written. Those are two different jobs, and our AI engine only does the second one.
Seven APIs queried in parallel for the target location.
Every dimension scored from 0 to 100 by its own function.
The AI engine receives the scores and the raw data, and writes the report.
Any AI-generated numbers are replaced server-side with the computed scores before the report is saved.
Even if the AI model returns different numbers in its response, the server replaces them with the pre-computed scores before the report is saved. The numbers you see are always the output of the scoring engine.
The overall OneGoodArea score is a weighted average of all dimension scores for the selected intent. Each dimension contributes proportionally to its internally calibrated weight. The result is a single 0 to 100 number representing how well the area suits your stated purpose.
Scores are colour-coded using a Red / Amber / Green system across every report. This applies to both dimension scores and the overall OneGoodArea score.
The area performs well in this dimension. A strong foundation with no major concerns. For overall scores, this indicates a highly suitable location for your stated intent.
The area is adequate but has room for improvement. Some trade-offs to consider. Worth investigating further before making decisions.
The area underperforms in this dimension. Significant challenges identified. Does not necessarily disqualify the area, but indicates a specific weakness worth understanding.
A low score in one dimension does not make an area unsuitable. Context matters. A business location with a low competition score (meaning heavy saturation) might still succeed with strong differentiation. Read the narrative sections alongside the numbers.
Run a free report for any UK postcode. Read the numbers, read the reasoning, decide.