Property risk report sample: see exactly what you get
What does a property risk report show? This page walks through a full fictional example so you can see the format before you pay: a risk score, the checks behind it, source notes for every figure, and the seller and surveyor questions the report turns each finding into. Nothing on this page is a real address or a live result.
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Check the property before you offer
Free preview: flood risk, EPC rating, crime, tenure and air quality. The £9.99 report adds the remaining 17 checks, 22 in all, drawing on up to 15 public datasets.
Fictional report. It does not represent a real property or live dataset.
A real report includes the newer lifestyle checks too: Phone Signal Reality Check from Ofcom mobile coverage and Evening Activity Nearby from Food Standards Agency venue data.
Surface-water risk flagged near the example address.
What we found
Sample flood layers show a moderate surface-water signal within the surrounding street area. River and sea flood zone is shown as low in this fictional example.
What to do next
Ask the seller about past water ingress, check insurance quotes before exchange, and ask your surveyor to inspect drainage and ground levels.
Sample dataChecked: fictional example only
Subsidence
Low
Lower directional ground-movement indicator in this sample.
What we found
The fictional result demonstrates the report's BGS Engineering Geology wording. The live lookup uses national 1:1 million mapping, not parcel-level GeoSure data or a site investigation.
What to do next
Still ask the surveyor to review visible cracking, trees close to walls, and any historic movement paperwork.
Sample dataChecked: fictional example only
Air quality
Sample
Illustrative air quality band only.
What we found
This sample report does not use real air-quality data. A live report requests current modelled PM2.5, NO₂ and European AQI from Copernicus CAMS through Open-Meteo for a nearby grid cell.
What to do next
For a real address, review nearby roads and local air readings if anyone in the household is sensitive to pollution.
Sample dataChecked: fictional example only
Road and rail noise
Sample
Illustrative noise-source boundary only.
What we found
A live report checks DEFRA Environmental Noise Directive road and rail mapping in England. This source is separate from the Copernicus CAMS air-quality feed.
What to do next
Visit at busy and quiet times because mapped strategic noise layers do not capture every intermittent or local source.
Sample dataChecked: fictional example only
Lifestyle and location
Crime, schools, transport, area
Crime and safety
Moderate
Sample area shows a moderate crime profile.
What we found
The fictional mix is weighted toward anti-social behaviour and vehicle crime, with no specific incident data included.
What to do next
Visit at different times of day, review the real street context, and check whether parking arrangements increase exposure.
Sample dataChecked: fictional example only
Schools
Good
Several nearby schools are shown as Good or Outstanding in the sample.
What we found
This mock report demonstrates how school ratings, phase, and distance appear in the full report.
What to do next
Confirm catchments directly with the local authority before relying on school proximity.
Sample dataChecked: fictional example only
Transport
Useful
Bus and rail access appear reasonable in this fictional example.
What we found
Sample report output includes nearest bus stops, approximate rail distance, and walkability notes.
What to do next
Test the commute at the time you would travel, rather than relying on the headline distance.
Sample dataChecked: fictional example only
Phone Signal Reality Check
Good
Example postcode shows good predicted in-home mobile coverage.
What we found
The sample illustrates how Ofcom mobile coverage data is turned into a buyer-friendly view of indoor and outdoor signal by network.
What to do next
Check Ofcom directly and test your own network inside the property during a viewing, especially if you work from home or rely on mobile backup.
Sample dataChecked: fictional example only
Evening Activity Nearby
Active
Restaurants, cafes, pubs and takeaways nearby suggest a more active evening setting.
What we found
The sample uses Food Standards Agency food hygiene venue data as a softer proxy for nearby evening activity. It is not a direct noise measurement.
What to do next
Visit once after dark and check the exact street position, opening hours, delivery routes and pub or takeaway concentration before relying on the headline.
Sample dataChecked: fictional example only
Property condition
EPC, age, tenure, listed status
EPC rating
D
EPC rating D. Likely to increase energy costs.
What we found
The sample EPC view shows estimated energy cost pressure and the kinds of upgrade notes a buyer should review.
What to do next
Ask for recent utility bills, check insulation and glazing, and budget for practical efficiency upgrades.
Sample dataChecked: fictional example only
Tenure
Unconfirmed
Could not confirm tenure from public data.
What we found
The sample report shows how tenure uncertainty is surfaced when public signals are incomplete or inconsistent.
What to do next
Ask the estate agent and solicitor to confirm freehold or leasehold status, lease length, ground rent, and service charges.
Sample dataChecked: fictional example only
Listed status
No flag
No listing flag shown in this fictional example.
What we found
A real report checks listed building and conservation area signals where available.
What to do next
Confirm with the local planning authority before planning external changes or extensions.
Sample dataChecked: fictional example only
Ownership and legal-risk prompts
Conveyancer brief
The sample turns tenure, listed, conservation and search signals into legal follow-up questions.
What we found
A real report does not certify ownership or replace searches. It flags what your conveyancer should verify: current title, lease details, restrictions, planning records and environmental/search issues.
What to do next
Send the PDF to your conveyancer and ask them to confirm title, tenure, lease length, covenants, consents, conservation status and seller replies before exchange.
The fictional market snapshot demonstrates median, average, and recent transaction comparisons.
What to do next
Compare like-for-like property type, condition, lease status, and sale date before using this in negotiation.
Sample dataChecked: fictional example only
Insurance outlook
Flagged
Flood signal may affect insurance questions.
What we found
The sample insurance note shows how risk signals can translate into quote checks before exchange.
What to do next
Run real quotes with the exact address before committing, especially where flood risk is present.
Sample dataChecked: fictional example only
Negotiation notes
Evidence
Up to £2,800 evidenced in this sample scenario.
What we found
The sample leverage combines EPC upgrade pressure, flood insurance checks, and local price comparison.
What to do next
Use written evidence, not vague concern, when discussing price or seller-funded works.
Sample dataChecked: fictional example only
Available in your real report.
Comparable examples
See how different reports can feel
These are static examples, not live benchmarks. They show the kind of contrast a buyer gets from the report: quiet checks, flood follow-ups, ground-risk checks or tenure questions.
Low-risk style report
2/10
Shows what a quieter result looks like: no major public-record flags, normal professional checks still recommended.
Flood-flagged report
6/10
Shows how a buyer would see flood context, insurance follow-ups and survey questions without treating the flag as a deal-breaker.
Ground-risk report
7/10
Shows how subsidence or soil-movement signals are turned into practical surveyor checks and seller questions.
Ownership/legal-risk report
5/10
Shows how tenure uncertainty, listed/conservation checks, search questions and conveyancer follow-ups are surfaced for a buyer.
Free preview: flood risk, EPC rating, crime, tenure and air quality. The £9.99 report adds the remaining 17 checks, 22 in all, drawing on up to 15 public datasets.
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