Climate risk is already cutting property values across the UK, and lenders are carrying far more collateral risk than macro models show, according to a Winter 2026 study by PriceHubble and MIAC Analytics.
The report combined PriceHubble’s hyper-local property data with Twinn climate risk scores and MIAC Analytics’ portfolio modelling. Properties at the highest flood risk traded at an average 2.1% discount to local market prices in Q3 and Q4 2024. Terraced houses showed the steepest discount at 3.8%. Lower-value markets recorded a 2.7% gap.
The discount widened at the neighbourhood level. Analysis of 282,000 transactions showed high-risk properties traded at an average 6% discount to the lowest-risk properties in the same region. Yorkshire and the Humber, the East Midlands, and the East of England were the most affected.
Mark Cunningham, managing director of PriceHubble UK, said regional averages mask the true scale of exposure.
“Regional data can make you complacent. It’s at the local authority or postcode level that you see the true risk picture,” he said. In Hull, 91% of all 2024 property transactions involved homes rated at high flood risk.
Rebuild costs pose a threat that goes beyond price discounts. More than half of all highest-risk flood properties sold in 2024 had rebuild costs that exceeded their sale price. In the lowest-value price quartile, rebuild costs ran 56% above market value on average. That gap raises underinsurance and solvency concerns for households and insurers alike.
Those concerns are starting to surface in mortgage markets. Bank Underground modelling suggests the share of UK mortgagors without insurance could rise from around 5% today to between 7% and 10% by 2050. That figure could reach 16% following a severe flood event.
Brokers and lenders report closer scrutiny on flood-exposed properties, with some borrowers facing delays and tighter underwriting conditions when cover is harder to obtain.
Subsidence risk is less visible but growing faster. Currently 4% of UK homes sit in the two highest risk bands. Under medium emissions scenarios, that share rises to 21% by the 2050s, according to the ABI. Castle Point in Essex recorded the sharpest local concentration, with 82% of 2024 transactions in the highest subsidence risk category.
Claims data shows the pressure is already building. The ABI recorded £153 million in subsidence-related home insurance claims in H1 2025 alone. Almost 9,000 households were supported at an average payout of £17,264 per claim.
Portfolio modelling produced the study’s most arresting figures. MIAC Analytics stress-tested a £330 million lifetime mortgage portfolio backed by 5,000 UK residential properties. Under a no-additional-action climate scenario, property-level risk data produced losses nearly seven times higher than the base case.
In London, property-specific risk data reduced projected values by 30.9% against the macro baseline. Across all regions the average reduction reached 21.6%.
Micro-level climate data reduced projected property values by an average of 21.6% against the macro baseline across all regions. In London, the reduction reached 30.9%.
Those projections sit against a market already under strain. UK property claims hit a record £6.1 billion in 2025. Domestic flood claims jumped 38% to £312 million and subsidence payouts reached an all-time high of £307 million, according to the ABI.
Deloitte has forecast that home insurers will swing to a net loss in 2026, with the combined ratio expected to reach 102.1%.
The Prudential Regulation Authority’s (PRA) Dynamic General Insurance Stress Test, launched in May 2026, is already pressing firms on exactly this kind of exposure. The study called for postcode and address-level risk analytics to become standard in lending, underwriting, and portfolio modelling.
The findings raise questions about coverage adequacy in flood and subsidence hotspots where rebuild costs outstrip market value. Flood Re winds down in 2039, after which pricing reverts to fully risk-reflective levels. That deadline gives the industry a firm timeline to build more granular risk frameworks.
