This is the single most common question at any public hearing on a proposed data center. It’s a fair one and it’s also one of the few data center questions where we have real research to draw on. Several academic and market studies over the last few years have tried to answer it empirically rather than speculatively.
What Recent Studies Have Found
George Mason University’s Schar School of Policy and Government. In a 2025 study, researchers Terry Clower and Keith Waters examined 2023 home sales across three Northern Virginia counties – Loudoun, Prince William, and Fairfax – the densest concentration of data centers in the world.
The researchers had expected proximity to a data center would pull sale prices down. It didn’t. Across single-family homes, townhouses, and condos, they found no statistically significant negative effect of proximity on sale price. In some cases, homes closer to data centers sold for modestly more.
A separate analysis by real estate firm Integra Realty Resources looked at residential sales within 1.5 miles of data centers in four Indiana counties. Over a five-year period, home values in those zones grew 42% – compared to 41% in the surrounding market – essentially flat.
Both studies come with honest caveats. Northern Virginia has an unusually tight housing market that may suppress effects visible elsewhere. The Indiana work covered four specific sites and can’t be generalized to every facility. And neither study drilled into individual cases where a facility was sited or screened poorly.
The short answer the research supports – on average, in well-sited projects, the effect on nearby home values is small to neutral.
Why the Effect Is Smaller Than Intuition Expects
A few reasons the sales-data picture is more benign than the worst-case mental image suggests.
Data centers are quiet, enclosed, and unstaffed. Unlike factories or distribution warehouses, they don’t generate truck traffic, shift changes, or industrial emissions. Day-to-day, most of what a data center does is sit there.
Tax base effects can offset proximity concerns. In many jurisdictions, a large commercial facility broadens the tax base enough that residential property tax rates can be held flat or reduced – a real benefit to homeowners that doesn’t show up in the proximity conversation.
Well-sited facilities are designed to be unobtrusive. Setbacks, earthen berms, landscape buffers, and building design all reduce the sight-line impact on neighboring homes. In mature markets like Loudoun County, a homeowner can live a mile from a data center campus and not see it from their window.
Where Effects Can Show Up
The exception – a facility sited with inadequate buffer or screening, or a large building placed directly across the street from single-family homes without much design consideration. In those cases, the concern isn’t really about the data center itself – it’s about the siting and design decisions around it.
That’s one of the reasons the land-use review stage matters. The setbacks, landscape buffers, building height limits, and site plan conditions attached at that stage are what separate a project that reads as a good neighbor from one that doesn’t.
What Actually Shapes the Effect
When it comes to how a specific project interacts with its neighbors, proximity matters less than a few design and siting choices:
- Setback — the distance from the nearest residential property line, and the proposed building height.
- Screening — the landscape buffer, berm, or planted edge included in the site plan.
- Building design — massing, facade materials, and whether the building reads as industrial-neutral or considered.
- Sight lines — whether the facility will be visible from nearby homes, not just from the road.
The research so far suggests that when a project takes these seriously, homeowners nearby can expect property values to behave much like any other part of the local market. Beale designs its facilities with these factors front of mind, and we think residents should expect nothing less from any developer working in their community.