Data Sources
Property Market Data draws from four primary categories of data, each selected for coverage, reliability and update frequency.
Supplementary Sources
- ONS Census 2021 for demographic and household composition profiles
- Ofsted school inspection data for education quality indicators
- Council tax band distributions for area wealth profiling
- Live on-market tracking for current stock and pricing movements
How We Calculate
Raw data is processed through a structured pipeline before it reaches any report. Each stage is designed to reduce noise, account for time effects and reflect genuine local market conditions rather than regional averages.
Asking Prices vs Sold Prices
Property Market Data tracks both asking prices (what sellers hope to achieve) and sold prices (what buyers actually paid). These are distinct datasets with different characteristics.
- Asking prices are drawn from live market listings. They reflect current seller expectations and market positioning, but they are not transaction evidence.
- Sold prices come from Land Registry records. They are verified, legally recorded transaction values - but they lag the market by 2-4 months due to the time between sale agreement and registration.
Where our reports present both, they are always clearly labelled. Valuation analysis weights sold price evidence more heavily, while market commentary uses asking price trends to identify emerging movement.
Update Frequency
Different datasets refresh at different intervals. This table shows the typical update cycle for each primary source.
| Dataset | Frequency | Typical Lag |
|---|---|---|
| Land Registry transactions | Daily | 2-4 months from sale to registration |
| On-market listings and asking prices | Daily | Same day |
| UK House Price Index | Monthly | Published ~6 weeks after reference month |
| EPC data | Daily | Typically within days of lodgement |
| Location market reports | Monthly | Regenerated with latest available data |
| District-level aggregates | Monthly | Recalculated after Land Registry refresh |
Data vs Interpretation
An important distinction
Property Market Data provides the underlying intelligence: transaction records, market statistics, pricing analytics and trend data. When an estate agent uses this platform to produce a property report or market commentary, any strategic advice, pricing recommendations or market opinions expressed are theirs, not ours. The data informs; the agent interprets.
Each client estate agent applies their own local expertise, property knowledge and professional judgement when translating market data into advice for their clients. Two agents analysing the same dataset for the same property may reasonably reach different conclusions, because they bring different experience and market perspective.
This is by design. Property Market Data exists to give agents the strongest possible evidence base. What they do with that evidence - how they interpret it, weight it and present it - is the value they add.
Quality Standards and Known Limitations
We take accuracy seriously, and we are transparent about the boundaries of what data can tell you.
What we do
- Validate all ingested data against expected ranges
- De-duplicate records across overlapping sources
- Time-adjust historical prices to present-day values
- Size-filter comparables to avoid misleading cross-type comparisons
- Refresh datasets on published schedules rather than on demand
Known limitations
- Land Registry data does not capture private sales, off-market transactions, or sales at auction where the price is not publicly recorded in the standard feed
- EPC floor area data is not available for all properties, particularly older homes that have never been marketed or let
- On-market data depends on properties being listed on major portals. Pocket listings, private sales and off-market deals are not captured
- The UK HPI is published with a lag, meaning the most recent 6-8 weeks of market movement may not yet be reflected in time-adjusted figures
- Rural and coastal areas with low transaction volumes produce wider confidence intervals than urban markets with high turnover