Do Data Centers Lower Property Values? What the Studies Actually Show
It's the first question at every hearing: will a data center tank my home's value? The honest answer isn't the scary one or the industry one. The headline studies say "no measurable drag" — but most were commissioned by developers, measure average distance rather than the house across the street, and come from hot markets where everything appreciates. Here's what the evidence really says, and the move that beats arguing about it.
It is the first question at almost every hearing, and the one residents are most often told not to worry about: will a data center lower my home's value?
The honest answer is neither the frightening one nor the reassuring one the developer's consultant will give you. The evidence is genuinely mixed — and understanding why it's mixed is what lets you act on it.
What the headline studies say
Two studies get cited constantly, and both point the same way:
- Northern Virginia, 2023. Researchers Terry Clower and Keith Waters of George Mason University's Center for Regional Analysis studied home sales across Fairfax, Loudoun, and Prince William counties. Their conclusion: the analysis "fails to demonstrate statistical evidence that proximity to a data center negatively impacts housing values" — in fact, closer homes tended to sell higher. The model explained 87% of the variance in 2023 sales.
- Indiana, four counties. Integra Realty Resources looked at single-family homes within 1.5 miles of four large data centers, 2021–2026. Homes near the facilities appreciated 42% against 41% countywide — essentially no gap. (Bisnow's roundup covers both.)
If you stop reading there — as the pitch deck wants you to — the answer is "no effect." But three things about these studies deserve the fine print.
Read the fine print
1. Who paid for them. The Integra Realty analysis was an appraisal prepared in support of a proposed data center. Industry-commissioned studies reliably find industry-friendly results. That doesn't make them wrong — but it means they are advocacy, not neutral science.
2. Averages hide the house across the street. That same Indiana study, broken out by county, is far less tidy: only one of the four counties (St. Joseph) showed homes near the data center gaining more value. In the other three — Allen, LaPorte, and Clark — homes near the facility appreciated 1%, 6%, and 9% less than the surrounding market. The headline "42 versus 41" washes all of that out. A county-wide average is not the appraisal on your street.
3. A rising tide hides the drag. Both studies come from markets that were appreciating fast. When every home is going up 40%, a data center's drag can be invisible under the tide — and the George Mason authors said as much, noting their findings may be "more applicable in areas with constrained housing demand." In a flat or cooling market, the same facility could read very differently.
Where the discount actually lives: the first few hundred feet
Here is the detail the aggregate studies quietly bury. They measure homes "within 1.5 miles" — but a data center's effect isn't spread evenly across a mile and a half. It concentrates at the fence line. A Northern Virginia paired case makes the gap concrete: a four-bedroom home roughly 200 feet from a hyperscale campus listed at $580,000, against comparable homes with no data-center adjacency at $685,000–$710,000 — a discount of about 15–18%.
That single case isn't a contradiction of the "no effect on average" studies — it's the resolution of them. Average one house at −18% across a 1.5-mile ring of hundreds of unaffected homes, and the signal vanishes. Two other findings fit the same shape: University of Rochester researchers found little measurable effect on nearby prices overall, while a separate George Mason–led analysis found new data centers slowed local home-price growth. Even the industry-friendly work rarely finds a clean positive — it finds "not as much, not as fast."
The practical takeaway: the closer your home is to the fence line, the less the countywide averages tell you, and the more the appraisal turns on the specific site — its setbacks, its cooling design, and which direction the substation faces.
What actually moves the number
The studies measure sale prices; they rarely isolate the things a neighbor actually experiences. Those are the externalities to name at a hearing:
- Noise — a continuous low-frequency hum from cooling systems and generator testing that travels farther than ordinary sound and penetrates walls. The WHO's night-noise guideline sits around 40–45 dB, which is exactly why our model CBA clause caps a facility at 45 dBA at the nearest residential property line. Ask what the projected level is at your lot line, not at the fence.
- Construction traffic for the 12–18 months of the build — heavy trucks, road wear, and dust on a rural road that never carried it before.
- Viewshed — windowless industrial walls, security fencing, and substations replacing farmland or tree line. Appraisers price a view; they also price the loss of one.
- Heat. Across more than 6,000 data centers worldwide, surrounding land temperatures rose about 2°C on average from 2004 to 2024 — a measurable "data heat island" that raises neighbors' own cooling bills.
The bottom line — and the move
"No measurable effect on average" is not "no effect on your house." The evidence is mixed, mostly developer-funded, and almost never isolates immediate adjacency in a normal market.
So don't get pulled into arguing the studies — neutralize the risk instead. Communities facing pipelines, wind farms, and mines have won property-value guarantees and voluntary buyout programs for fifty years; there is no reason a $30-billion data center can't fund the same. Make a property-value protection a condition of approval, not a hope. Then run your own local numbers on the impact calculator and bring them to the meeting.