GIS in Housing: From Maps to Meaningful Decisions

Why this matters now 

Housing providers are under pressure from every direction: 

• Damp and mould responsibilities are rightly sharper 

• Climate risk is no longer theoretical 

• Retrofit decisions carry long-term consequences 

• ESG expectations are rising 

• Data quality is under scrutiny 

• Resources are stretched 

Yet many organisations are still making strategic decisions without fully understanding the places their homes sit in. That is the gap GIS fills, when it is approached correctly.  

A quick introduction 

ODC GIS has been operating for over 32 years, supporting the housing sector throughout that time, covering over 1.2 million homes, roughly 25% of all UK social housing. 

The biggest misconception about GIS in housing 

One of the most important points made was: 

GIS isn’t really about the software. It’s about the data. 

You can own the best GIS platform available, but without the right data, and without connecting that data meaningfully, it will never deliver value. 

Conversely, organisations that believe they “aren’t ready for GIS” often already hold 80% of what they need, they just haven’t connected it spatially. 

This is why GIS should be seen as an approach, not a product.  

Starting with the right foundations: Address data and UPRNs 

One of the most under-used datasets in housing is Ordnance Survey AddressBase. 

At its heart is the Unique Property Reference Number (UPRN),  the single, consistent identifier used across the public sector to describe a property. 

Why this matters: 

• Housing systems all store addresses slightly differently 

• Without UPRNs, data matching becomes unreliable 

• With UPRNs, datasets can be joined confidently 

Once UPRNs are embedded, housing providers can accurately connect homes to: 

• EPC data 

• Indices of Multiple Deprivation 

• Health datasets 

• Environmental risk data 

• Retrofit and compliance information 

For many organisations, this is the real starting point for effective GIS use.  

Filling data gaps: The National Geographic Database (NGD) 

Data quality issues are common in housing, particularly where stock transfers, mergers, acquisitions and disposals have occurred over time. 

The National Geographic Database (NGD) from Ordnance Survey brings together multiple datasets into a single, consistent national view. 

For housing providers, it can be used to: 

• Quality-assure existing asset data 

• Fill gaps in information such as: 

• Building age 

• Building type 

• Number of floors 

• Sense-check records that may be decades old 

This matters because these attributes directly influence: 

• Investment planning 

• Retrofit pathways 

• Planned maintenance programmes 

• Risk prioritisation 

Better decisions depend on better confidence in the data behind them.  

Understanding what you actually own: Land Registry data 

It sounds simple, but it’s often not. 

Many housing providers do not have a complete, accurate picture of: 

• All the land they own 

• Land that has been disposed of but still appears on records 

• Small parcels that have been forgotten over time 

Land Registry data provides a spatial view of ownership that allows organisations to: 

• Identify discrepancies 

• Clarify boundaries 

• Spot under-utilised land 

• Explore development opportunities 

A simple analysis of property-to-land ratios can quickly highlight where land may not be working as hard as it could.  

Climate risk is local,  GIS makes it visible 

One of the most powerful uses of GIS is turning abstract climate risk into place-specific insight. 

Heat risk: planning beyond winter 

Much of retrofit thinking has focused, understandably, on cold homes. But homes in the UK were largely not designed for heat. 

Using datasets such as HeatView from Map Impact, housing providers can begin to understand: 

• Which homes are most at risk of overheating 

• How surrounding environment influences temperature 

• Where retrofit decisions may unintentionally increase summer risk 

When heat risk data is combined with: 

• Building age 

• Construction type 

• Tree canopy coverage 

…patterns begin to emerge that cannot be seen in spreadsheets alone. 

Flood, drought and wildfire risk 

GIS allows housing providers to assess portfolio-wide exposure to: 

• Flood risk (using insurance-grade datasets such as those from Sweco) 

• Drought stress 

• Emerging wildfire risk 

These are no longer distant concerns. They affect: 

• Insurance costs 

• Business continuity 

• Resident safety 

• Long-term viability of stock 

Understanding risk spatially enables planned adaptation, not reactive response.  

Biodiversity and land stewardship 

Biodiversity Net Gain and environmental responsibility are increasingly part of housing providers’ remit. 

GIS supports this by helping organisations: 

• Understand the land they manage today 

• Identify areas with biodiversity potential 

• Target improvements where they will have most impact 

By combining habitat data with grounds maintenance information, housing providers can move from generic approaches to intentional land stewardship.  

Trees, damp and mould: seeing the connections 

A particularly practical example shared was the use of BlueSky’s National Tree Map. 

This dataset provides: 

• Location of trees 

• Canopy size 

• Estimated height 

When overlaid with housing stock, it enables analysis such as: 

• Properties with trees within two or three metres 

• Canopy overlap with roofs and gutters 

• Potential root-related structural risks 

This insight supports proactive work on: 

• Damp and mould prevention 

• Guttering and drainage issues 

• Tree safety and maintenance planning 

Again, GIS is not replacing professional judgement, it is directing attention where it matters most.  

The bigger shift: from reactive to preventative housing management 

The real opportunity with GIS is not any single dataset. 

It is the shift it enables: 

• From reactive to preventative 

• From siloed teams to shared understanding 

• From static reports to living insight 

Whether delivered through full GIS platforms or integrated into back-office systems, spatial intelligence allows housing providers to plan with confidence, not assumption.  

Final thoughts 

GIS is not about becoming more technical. 
It is about becoming more informed. 

When housing providers understand the place around their homes -  the risks, the opportunities, the patterns,  better decisions naturally follow. 

The challenge is no longer whether GIS is relevant. 
It’s whether organisations are ready to use it with intent. 

And that starts with curiosity, not complexity.