Churchill Spires  ·  Property Market Intelligence

Institutional-Grade
Property Analytics

Real-time transaction data, EPC intelligence and automated valuation models — built for investors, agents and advisers who demand precision.

Live Data · HM Land Registry · · EPC Open Data ·
Live Market Dashboards
Explore the Data

Select a market to access live transaction intelligence, pricing trends and volume analytics.

SW19 & SW20 · Enriched with EPC

Wimbledon Residential Market

Deep-dive analytics for Wimbledon and Raynes Park. Every transaction enriched with EPC floor area data — delivering price per sq ft, energy rating breakdowns and neighbourhood-level comparisons.

Price per sq ft EPC Ratings Neighbourhoods
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329 Outward Codes · Greater London

London Residential Market

Pan-London transaction data covering all 329 outward codes from E1 to WD25. Filter by area, track quarterly trends and compare postcode sectors by average sale price and volume.

All London Postcodes Sector Rankings Annual Trends
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England & Wales · National Overview

UK Residential Market

National-level transaction intelligence covering England and Wales. Price trends by property type, regional breakdowns, EPC energy rating analysis and new build vs resale comparisons.

All Regions EPC Analysis Price Trends
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Who Is This For
Use Cases

Click a card to learn how different professionals use this platform.

🏠 Property Investors

Track price movements across London's 329 postcodes to identify emerging value and time acquisitions with precision.

  • Spot under-valued sectors vs borough averages
  • Monitor quarterly transaction volumes as a demand signal
  • Compare new build vs resale pricing premiums
  • Identify best-performing property types per area
📋 Estate Agents

Back your valuations and market appraisals with live, granular data from HM Land Registry — refreshed daily.

  • Benchmark asking prices against recent sold data
  • Present clients with credible, data-driven market narrative
  • Filter to postcode sector for hyper-local comparables
  • Track trend direction in advance of market updates
🔍 Homebuyers & Sellers

Understand the market before you buy or sell. Go beyond headline indices with postcode-level intelligence.

  • See what properties actually sold for in your target street
  • Understand price per sq ft to assess value fairly
  • Compare EPC ratings and their impact on pricing
  • Time your transaction around market momentum
🏦 Mortgage Lenders

Support underwriting decisions with local market intelligence and automated valuation model outputs.

  • Validate property valuations against live comparables
  • Assess loan-to-value risk using sector price trends
  • Identify declining markets early via volume signals
  • Integrate AVM outputs into credit risk workflows
📊 Portfolio Managers

Mark-to-market your residential portfolio using live transaction data across the geographies you hold.

  • Track portfolio value against sector price movements
  • Benchmark individual assets vs postcode median
  • Monitor EPC rating impact on capital value
  • Stress-test valuations using quarterly trend data
⚡ Surveyors & Valuers

Augment RICS-compliant valuations with a structured, reproducible data source updated daily from Land Registry.

  • Pull postcode-sector comparables instantly
  • Price per sq ft benchmarking with EPC adjustment
  • Access 3-year historic transaction history
  • Support desktop valuations with quantified evidence
Coming Soon
Automated Valuation Model

An AVM uses statistical modelling to estimate the market value of a residential property without a physical inspection. By combining sold price data, property attributes, EPC floor area and location characteristics, it produces an instant, evidence-based valuation.

Churchill Spires is building an AVM engine powered by the same Land Registry and EPC dataset that drives these dashboards — giving lenders, investors and agents an on-demand valuation tool calibrated to local market realities.

How the AVM is Built

Comparable Transactions

Recent sold prices for similar properties within the same postcode sector, weighted by recency and property type match.

Price Per Sq Ft Normalisation

EPC floor area data enables £/sq ft benchmarking — adjusting for size differences between the subject and its comparables.

Market Trend Adjustment

3-month rolling price trend applied to comparable sales to reflect current market conditions rather than stale data.

EPC & Attribute Weighting

Energy rating, tenure (freehold vs leasehold) and new build status each carry statistically derived price adjustments.

Data Infrastructure
Built on Public Data. Delivered with Precision.
Primary Source
HM Land Registry

Price Paid Data for every residential transaction in England & Wales. Updated daily, covering over 2 years of Greater London sales history.

Enrichment Layer
EPC Open Data Communities

Energy Performance Certificate data providing floor area (sq ft) and energy ratings — enabling price-per-sq-ft analytics not available from transaction data alone.

Infrastructure
AWS RDS & Heroku

Transactional data stored in a managed MySQL database on AWS. Dashboards served from Heroku — scalable, resilient, always-on.