Stock condition surveys: what good data looks like

What a stock condition survey is for

A stock condition survey captures the condition and approximate age of the key components in a property so that an organisation can plan investment, evidence standards and understand risk across its stock. It is an asset-management exercise first: the data has to be usable in aggregate, not just readable one property at a time.

What is typically captured

• Key building components — roof, walls, windows, doors, external works
• Services — heating, hot water, electrical installation age indicators
• Internal elements — kitchens, bathrooms, floors and finishes
• Observed condition and approximate age of each recorded component
• Indicative remaining life, where this is within the agreed scope
• Damp, mould and condensation observations
• Hazard-related observations that may be relevant to HHSRS
• Photographic evidence against defined survey points

Decent Homes support

Survey data supports Decent Homes reporting, which considers statutory minimum standards, disrepair, modern facilities and thermal comfort. Data captured without that structure in mind often has to be re-collected, so it is worth aligning the survey template with the reporting output from the start.

Specifying a survey well

• Define the sample or the full-stock scope explicitly, and say how no-access properties are treated
• Agree the component list and the condition scale before mobilisation
• Say which fields are mandatory, and what an assessor should record when evidence is not visible
• Set the photograph convention — how many, from where, and named how
• Agree the export format and reporting frequency up front
• Decide whether an EPC assessment should be combined into the same visit

Combining visits

Where the client brief, assessor competence and survey requirements allow, compatible activities such as an EPC assessment and a stock condition survey can be completed in one coordinated visit. That reduces access attempts and resident disruption. It is not always appropriate — competence and scope decide.

Quality assurance

Data quality comes from checks, not good intentions: documented QA on submitted surveys, sample re-inspection, and feedback to surveyors on recurring issues. Ask any survey provider what proportion of work is checked and what happens when a check fails.

Official sources

• Decent Homes Standard: guidance (GOV.UK)
• Housing Health and Safety Rating System (HHSRS) guidance (GOV.UK)