Beyond the Numbers: Why Housing Quality Matters for Health, Homes and Local Systems
- Feb 13
- 13 min read
For more than a decade, the national housing debate has been dominated by a single metric: quantity. How many homes can we build? How fast? At what scale? Targets have become the political shorthand for ambition, success, and credibility. Yet this relentless focus on numbers has created a kind of tunnel vision, one where delivery speed is celebrated, but the lived experience inside those homes is too often overlooked. The result is a national conversation that treats housing as a numbers game rather than a public health issue. As long as the units go up, the system considers the job done. But as this week’s Truth About Network podcast explores, that fixation has pushed a far more fundamental question into the background:
Are the homes we build, manage and retrofit actually good for people’s health?
It’s a question that becomes harder to ignore as evidence mounts about the real‑world consequences of poor‑quality housing. Cold, damp, overcrowded or insecure homes don’t just undermine wellbeing, they drive avoidable demand across the NHS, social care, and local government. They shape educational outcomes, employment prospects, and long‑term health trajectories. They influence everything from respiratory illness to depression to biological ageing.
To unpack this, Matt Masters is joined by Faye Sanders, Doctoral Researcher in Housing and Health and Co‑Chair of both the Healthy Homes Research Network and the Housing Studies Association. Their conversation cuts through the noise of targets, delivery pressures, and political rhetoric to examine what poor‑quality housing really means for people and for the systems that support them.
Faye brings a rare combination of academic rigour and sector insight. Her research sits at the intersection of housing, health, and population needs, and she uses that vantage point to challenge some of the most persistent assumptions in the national debate. As she puts it in the episode:
“There’s often a misconception that poor quality housing only affects a minority of people. But the figures are quite stark and quite shocking.”
Together, Matt and Faye explore why quality has been treated as an afterthought, how this has shaped policy and practice, and what it will take to shift the national mindset from “how many” to “how well.” They also look at the ripple effects across the public sector, from rising NHS costs to increased pressure on councils, and the opportunities that emerge when housing and health work together rather than in parallel. This isn’t just a conversation about homes. It’s a conversation about systems, outcomes, and the kind of society we want to build.
The Scale of the Problem: Poor Quality Housing Is Not a Minority Issue
One of the most striking insights from Faye’s research, and one that often surprises people outside the housing and health space, is the sheer scale of poor‑quality housing in the UK. As she explains in the episode:
“There’s often a misconception that poor quality housing only affects a minority of people. But the figures are quite stark and quite shocking.”
And she’s right. The data paints a picture of a national issue hiding in plain sight.
For years, poor housing has been framed as something that affects “a few vulnerable households” or “the very worst parts of the stock.” But the reality is far broader and far more systemic. The English Housing Survey consistently shows that millions of people live in homes that actively undermine their health, safety, and wellbeing, and the problem is growing, not shrinking.
What the numbers really show
2.4 million homes in England contain a Category 1 hazard under the Housing Health and Safety Rating System (HHSRS), meaning they pose a serious and immediate risk to health.
1 in 5 homes fail to meet the Decent Homes Standard, and with the standard being updated to include damp and mould, ventilation, and thermal comfort, that figure is expected to rise significantly.
Poor housing costs the NHS £1.4 billion every year in direct treatment costs, and when you factor in lost productivity, social care, education impacts, and wider societal effects, the total cost rises to £18 billion annually.
These aren’t fringe statistics. They represent millions of people, families, older adults, children, key workers, living in conditions that would be considered unacceptable in any other part of the public realm.
A systemic issue, not a series of isolated cases
The scale of the problem matters because it challenges a deeply embedded narrative: that poor housing is an exception. In reality, it is a structural feature of the UK’s ageing, inefficient, and often poorly maintained housing stock.
Much of the country’s housing was built before 1940, making it some of the oldest in Europe.
Retrofitting has been inconsistent, underfunded, and fragmented across decades.
Private renting has expanded rapidly, but regulation and enforcement have not kept pace.
Climate change is introducing new risks, overheating, damp, and mould, that older homes were never designed to withstand.
This is why Faye emphasises that poor housing is not a niche concern. It is a mainstream public health challenge with consequences that ripple across the NHS, local government, and the wider public sector.
Predictable, and avoidable
Perhaps the most important point is this: none of this is inevitable.
We know what causes poor housing. We know who is most affected. We know the health impacts. We know the financial costs. We know the interventions that work.
The problem isn’t a lack of evidence, it’s a lack of prioritisation.
And that’s exactly why this conversation matters. Because until we stop treating poor housing as a marginal issue, we will continue to absorb the social and financial costs across the system.
Housing Quality Is a Public Health Issue, Not a Technical One
One of the clearest messages running through Faye’s research, and echoed across decades of public health evidence, is that housing quality is not simply a technical or regulatory concern. It is a public health determinant on the same level as air quality, income, education, and access to healthcare. The home is the environment where people spend most of their lives, and its condition shapes health outcomes in profound and measurable ways. As Faye puts it in the episode:
“Living in a home with damp and mould can have really bad impacts on rates of asthma, and lifelong asthma, particularly if exposure happens in childhood.”
This isn’t abstract theory. It’s a well‑established causal relationship backed by epidemiological studies, NHS data, and decades of research across housing, health, and environmental science.
Physical Health Impacts
Poor housing conditions directly influence the body’s ability to stay warm, breathe clean air, and maintain healthy biological functioning. The evidence base is extensive:
Damp and mould increase the risk of asthma by 30–50% in children, with early‑life exposure linked to lifelong respiratory vulnerability.
Cold homes contribute to around 10,000 excess winter deaths every year, disproportionately affecting older adults and people with chronic conditions.
Overheating, once considered a rare issue in the UK, is now an emerging public health risk driven by climate change. It is linked to cardiovascular strain, dehydration, heat exhaustion, and increased hospital admissions during heatwaves.
These impacts are not evenly distributed. They fall hardest on low‑income households, private renters, older adults, and people with pre‑existing health conditions, groups already facing health inequalities.
Mental Health Impacts
While physical health impacts are widely recognised, the mental health consequences of poor housing are equally significant, and often overlooked. Faye highlights one of the most striking findings:
“Experiencing poor quality housing can make people up to seven times more likely to experience an episode of depression.”
This is a staggering statistic, and it reflects a broader truth: the home is not just a physical structure. It is a psychological anchor. When it becomes a source of stress, insecurity, or fear, the effects are immediate and long‑lasting.
Factors that drive mental health harm include:
Persistent damp, mould, or disrepair
Overcrowding
Noise pollution
Lack of thermal comfort
Feeling unsafe or unable to control one’s environment
And layered on top of this is housing insecurity, instability, unaffordability, or the fear of eviction. Research shows that insecurity alone can increase anxiety, reduce sleep quality, and erode overall wellbeing, even when the physical condition of the home is adequate.
A Whole‑System Issue
What Faye’s work makes clear is that poor housing is not just a “housing problem.” It is a health problem, a social care problem, an education problem, and ultimately a public finance problem. Every cold, damp, unsafe home generates avoidable demand across the system:
More GP appointments
More hospital admissions
More mental health referrals
More social care interventions
More pressure on already stretched local services
This is why reframing housing as a public health intervention is so important. It shifts the conversation from compliance and cost to prevention, wellbeing, and long‑term value.
The Cost Myth: Why Investing in Quality Saves Money
One of the most persistent myths in the housing sector is that improving housing quality is primarily a cost, a drain on budgets, a barrier to delivery, or a “nice‑to‑have” that can only be afforded once quantity targets are met. But as Faye makes clear in the episode, this assumption simply doesn’t hold up when you look at the evidence.
“Some really interesting intervention work has shown both short and long‑term cost reductions.”
And she’s right. When you treat housing as a public health intervention rather than a technical asset, the economics look very different.
Real‑world evidence: investment that pays for itself
Faye highlights a powerful example from Hampshire and the Isle of Wight, where the NHS partnered with local housing providers to tackle poor housing conditions:
For every £1 invested, £14 was saved, within just 12 months.
That kind of return is almost unheard of in public sector interventions. It demonstrates that improving housing quality isn’t just morally right, it’s financially smart.
National modelling tells the same story
Zooming out to the national level, the pattern is consistent:
Every £1 spent on improving poor housing saves the NHS £70 over 10 years.
Retrofitting cold homes could save £540 million per year in health costs alone, and that’s before factoring in reduced social care demand, improved productivity, or better educational outcomes for children living in warm, stable homes.
These aren’t speculative projections. They’re grounded in decades of research from the Building Research Establishment (BRE), the NHS, and public health bodies.
Why the savings are so significant
Poor housing drives avoidable demand across the system:
More GP appointments for respiratory illness
More hospital admissions for cardiovascular strain
More mental health referrals linked to stress, insecurity, and poor conditions
More social care interventions triggered by falls, cold homes, or unsafe environments
When you fix the home, you reduce the pressure on every part of the public sector. That’s why the returns are so high, because the costs of inaction are so widespread.
A shift in mindset: from cost to value
The challenge is not the evidence, it’s the mindset. For years, housing quality has been framed as a compliance issue, a regulatory burden, or a budgetary constraint. But the data tells a different story:
Quality pays for itself, financially, socially, and systemically.
Investing in better homes reduces demand, improves health, strengthens communities, and creates long‑term savings that far outweigh the upfront cost. It’s not an expense. It’s a strategic intervention with one of the strongest return‑on‑investment cases in the entire public sector.
What Makes Cross‑Sector Collaboration Actually Work?
Housing and health partnerships are notoriously difficult to get right. They bring together organisations with different cultures, different incentives, different pressures, and different definitions of success. Housing providers think in terms of stock, repairs, and tenancy sustainment. Health systems think in terms of clinical risk, demand management, and population outcomes. Local government sits somewhere in the middle, juggling statutory duties, shrinking budgets, and political expectations. It’s no surprise, then, that collaboration often feels harder than it should. But Faye identifies two critical success factors that consistently separate effective partnerships from those that stall.
1. Tailoring to Place
Faye is clear:
“Don’t assume best practice can be lifted and shifted. Needs vary considerably.”
This is one of the most important, and most overlooked, truths in the sector. What works in one area may fail completely in another, even if the model looks identical on paper. Local context shapes everything:
Demographics, age, health conditions, household composition
Stock profile, age, tenure mix, energy efficiency, design
Climate and geography, coastal damp, urban heat islands, rural isolation
Deprivation and inequality, which amplify health risks
Local history and relationships, trust, past failures, political dynamics
Effective partnerships start by understanding these nuances, not by importing a template. They build interventions that reflect the lived reality of residents, not the assumptions of national policy.
2. Building Relationships Early
Faye’s second insight is equally important:
“Start the relationships super early… it’s a long‑term investment.”
This speaks to something many leaders instinctively know but rarely prioritise: collaboration is built on soft infrastructure. Trust, shared language, informal networks, and mutual understanding matter just as much as governance structures or formal agreements.
This mirrors a wider theme emerging across local government, the recognition that resilience isn’t just about systems and processes. It’s about relationships. When those relationships exist before a crisis, before a pilot, before a funding bid, organisations can move faster, take more risks, and solve problems together rather than negotiating from scratch.
In other words: collaboration isn’t an event. It’s a culture.
Reframing the National Conversation: From “How Many” to “How Well”
If Faye could redesign the national housing debate, she wouldn’t simply replace quantity with quality. She’d integrate them, because the two are inseparable if we care about population health.
As she puts it:
“To protect population health, we need a combination of both. And we need to reframe the conversation around people’s needs.”
This is a crucial shift. For too long, the sector has treated quality and quantity as competing priorities, as if improving one must come at the expense of the other. But in reality, they are deeply interdependent.
Why quantity without quality doesn’t work
Poor‑quality homes increase demand on health and care services, pulling resources away from prevention and new supply.
High demand reduces capacity to build new homes, as councils and providers are forced to focus on crisis response.
Poor‑quality new homes create future liabilities, storing up costs for the NHS, social care, and housing providers for decades.
A system built on volume alone is a system built on sand. It may hit targets in the short term, but it cannot deliver long‑term value.
A needs‑led approach
Faye’s argument is simple but transformative: start with people’s needs, not political targets. When you understand the health, demographic, and environmental needs of a population, the balance between quality and quantity becomes clearer, and more strategic.
This reframing moves the debate away from numbers and towards outcomes. Away from units and towards wellbeing. Away from delivery pressure and towards long‑term public value.
It’s not about building more or building better. It’s about building what people actually need.
A Practical First Step for Councils, Housing Providers and ICSs
When Matt asks Faye for one actionable step that leaders can take tomorrow, her answer is striking in its simplicity, and its power:
“Assess your community’s needs. Their needs might be different to the general population, and housing quality comes after that.”
This is a deceptively profound point. Too often, organisations jump straight to solutions: retrofit programmes, damp and mould strategies, new‑build standards, or health‑and‑housing pilots. But without a clear understanding of what their residents actually need, these interventions risk being misaligned, inefficient, or ineffective.
A needs‑led approach requires three shifts:
1. Stop assuming you know what residents need
Professionals often rely on national datasets, historic assumptions, or anecdotal experience. But communities change, demographically, economically, environmentally, and assumptions age quickly. What was true five years ago may not be true today.
2. Start gathering meaningful data
This means combining multiple sources to build a real picture of local need:
Lived experience, resident voice, qualitative insight, community engagement
Satisfaction data, not just repairs satisfaction, but safety, comfort, and trust
Health outcomes, respiratory illness, cardiovascular risk, mental health indicators
Stock condition, age, energy efficiency, hazards, disrepair
Local risk factors, climate exposure, deprivation, overcrowding, housing insecurity
This is not about data for data’s sake. It’s about understanding the drivers of poor outcomes so interventions can be targeted where they will have the greatest impact.
3. Use that insight to prioritise interventions
Evidence shows that satisfaction + quality together are the strongest predictors of health, not quality alone. A warm, well‑maintained home still harms wellbeing if the resident feels unsafe, unheard, or insecure.
A needs‑led approach helps organisations:
Identify vulnerable groups
Target resources more effectively
Build stronger business cases
Reduce avoidable demand on health and care
Improve resident trust and engagement
It’s the foundation on which all effective housing and health work is built.
The Role of Research Networks in Shaping Policy
Faye also emphasises the importance of research networks like the Healthy Homes Research Network, which she co‑chairs. These networks play a crucial role in bridging the gap between research, policy, and practice, a gap that has historically slowed progress across the sector.
As she explains:
“It’s a safe space where people can come together, communicate their challenges, and ask strategic questions.”
This matters because the challenges facing housing and health systems are increasingly complex:
New regulatory standards
Rising expectations around damp, mould, and safety
Climate‑driven risks like overheating
Pressures on NHS capacity
Shifting political priorities
Growing demand for evidence‑based decision‑making
Research networks create the conditions for collaboration that many organisations struggle to build alone. They offer:
Shared learning, what works, what doesn’t, and why
Access to emerging evidence, including academic research not yet in policy circles
Cross‑sector dialogue, between housing providers, local government, ICSs, and researchers
Support for policy development, grounded in real‑world challenges
A space to test ideas, before they become costly programmes
In a sector facing new standards, new expectations, and new political realities, these networks are becoming essential infrastructure.
Final Thought: Quality Is a Public Health Intervention
Matt closes the episode with a reflection that captures the heart of the entire conversation:
“Quality is not a luxury or an afterthought. It’s a public health intervention.”
It’s a line that cuts through years of policy noise and sector debate. Because once you see housing through the lens of health, the argument becomes impossible to ignore. The evidence is overwhelming. The human stories are compelling. The financial case is undeniable. And the moral imperative is clear.
Poor-quality housing is not an inconvenience, it is a driver of illness, inequality, and avoidable demand across the NHS and local government. It shapes children’s development, adults’ mental health, older people’s independence, and the resilience of entire communities. It is one of the most powerful social determinants of health we have, and one of the most modifiable.
If we want healthier communities, sustainable public services, and resilient local systems, we must stop treating housing quality as a secondary issue, something to be addressed once targets are met or budgets allow. It must be central to how we plan, invest, and collaborate. Because when we get homes right, we don’t just build units. We build health. We build dignity. We build the foundations for thriving, resilient communities.
And that is the shift this conversation calls for, from counting homes to understanding what they enable. From delivery to outcomes. From “how many” to “how well.”
