Do Solar Farms Lower Property Values? The Research, Plainly

Ask this question at any county zoning hearing and you will hear two certainties shouted past each other: opponents certain that a solar farm next door will crater their home's value, developers certain it won't change a thing. The research says something more useful than either. Across the largest studies ever conducted — more than 1,500 projects and over 1.8 million home sales — the measured effect of living near a solar farm is small, highly local, and fades to nothing within about a mile. In most places, for most homes, there is no detectable effect at all.

That is the honest headline. The honest fine print is that "most" is not "all": in specific circumstances — large projects, on former farmland, in rural areas — several credible studies find real single-digit declines for the closest homes. Anyone quoting this research in a hearing, on either side, should know exactly where those lines fall.

The Quick Answer

The largest US study, from Lawrence Berkeley National Laboratory, found homes within half a mile of a large solar project sold for an average of 1.5% less than comparable homes 2–4 miles away — about $6,000 on a $400,000 home.
That average conceals wide variation: three of the six states studied showed no statistically significant effect at all.
Where declines appear, they concentrate in three conditions: projects built on former agricultural land, in rural areas, at larger project sizes.
A 2024 study of 70 Midwest projects found a small positive effect on surrounding-area values — 0.5% to 2%.
Every study agrees on one thing: whatever the effect is, it disappears with distance, generally within a mile.

The Biggest Study: 1.8 Million Home Sales, Six States

The reference point for this debate is Berkeley Lab's 2023 analysis, published in Energy Policy, which examined more than 1,500 large-scale solar projects and over 1.8 million home transactions across California, Connecticut, Massachusetts, Minnesota, New Jersey, and North Carolina.

Pooling all six states, homes within 0.5 miles of a project sold for 1.5% less than similar homes 2–4 miles away. But the state-level results are where the story actually lives. Minnesota showed a 4% reduction, New Jersey 5.6%, and North Carolina 5.8% — while California, Connecticut, and Massachusetts showed no statistically significant effect whatsoever.

The researchers dug into what separated the two groups. The declines were limited to projects built on previously agricultural land, near homes in low-density rural areas, and among the larger installations in the sample. Projects in urban and suburban settings, smaller projects, and projects sited on already-disturbed land — brownfields, industrial parcels, mixed-use sites — produced no measurable effect.

The Suburban Exception

A University of Rhode Island study by economists Vasundhara Gaur and Corey Lang — 400,000 transactions near 284 array sites in Rhode Island and Massachusetts — found an average 1.7% decline within one mile, rising to roughly 7% for the handful of homes within a tenth of a mile.

Their most useful finding is why: the effect was driven by arrays that replaced scarce suburban green space, where nearby values fell about 5%. When arrays went onto rural land, landfills, or industrial sites, the effect largely vanished. In other words, the market isn't pricing the panels — it's pricing the loss of whatever the panels replaced. That distinction rarely survives a public hearing, but it is the single most consistent thread in this literature.

Newer Evidence Points the Other Way

A December 2024 study in Solar Compass by Gilbert Michaud of Loyola University Chicago and Sampson Hao examined 70 utility-scale projects (5 MW to 268 MW) built across Indiana, Minnesota, Michigan, and Illinois between 2009 and 2022 — and found surrounding property values rose 0.5% to 2% relative to the pre-construction trend. Projects in the 5–20 MW range showed the most positive results, plausibly because modest projects are easier to screen behind vegetative buffers.

One caveat the authors themselves flag: the analysis worked at zip-code level, so it speaks to the broader area rather than the home directly across the fence line. It is best read alongside, not against, the proximity studies above.

What Appraisers Find at the Fence Line

For the homes closest of all — directly adjoining a project — the most direct evidence comes from paired-sales appraisal work. CohnReznick's multi-state analysis compared 26 sales of properties adjoining nine operating solar facilities across seven states against 94 control sales, and found no evidence of devaluation for adjacent homes or farmland where projects were properly screened and buffered.

Worth knowing when you cite it: this is appraisal work commissioned in support of project applications, and it appears routinely in siting dockets on the developer side. Its findings are consistent with the academic literature — but a hearing audience will treat its provenance as fair game, so pair it with the independent studies rather than leaning on it alone.

Why This Question Decides Siting Fights

Property values are among the most-cited concerns in the county solar and battery fights we log in our Opposition Tracker, alongside farmland loss, viewshed, and drainage. As of July 2026 the tracker records 120 restrictive actions across 34 states and 76 counties, and some version of "it will hurt our home values" appears in the public record behind many of them. The research above is what actually exists to answer that concern; very little of it tends to reach the hearing room intact.

The pattern in the data maps cleanly onto the pattern in the fights: the places where studies do find effects — large projects on farmland in rural counties — are exactly the places where moratoriums and bans cluster. The concern is not irrational; it is simply far narrower than the blanket claim, and it is addressable.

What Actually Protects Value

Read together, the studies point to concrete siting and design choices rather than a verdict on solar itself:

Screening and buffers. The zero-effect findings repeatedly coincide with projects that neighbors mostly cannot see. Vegetative screening is the cheapest insurance in the industry.
Prior land use. Projects on brownfields, landfills, industrial land, and already-disturbed sites show no measurable impact in any major study. Effects concentrate where projects displace farmland or scarce green space.
Distance and setbacks. Every proximity study shows steep decay — meaningful effects, where they exist, live inside half a mile and largely inside a few hundred feet. Reasonable setbacks capture most of the protection without functioning as de facto bans.
Project scale in context. Mid-sized projects (roughly 5–20 MW) show neutral-to-positive results; the negative findings skew toward the largest projects in rural settings. Agrivoltaic designs that keep land visibly agricultural address the same underlying concern from another direction.

Frequently Asked Questions

Do solar farms lower property values?

In most places, no measurable effect has been found. The largest US study (Berkeley Lab, 2023; 1,500+ projects, 1.8M home sales) found an average 1.5% reduction within half a mile — but no statistically significant effect at all in three of six states studied, with declines concentrated near large projects on former farmland in rural areas. A 2024 Midwest study found small positive effects.

How close does a home have to be for a solar farm to affect its value?

Every proximity study shows the effect fades with distance and is essentially zero beyond about one mile. The URI study found the strongest effects within a tenth of a mile (about 7%), falling to 1.7% averaged across a full mile.

What can be required of a solar project to protect nearby home values?

The evidence supports vegetative screening and buffers, moderate setbacks, and siting on already-disturbed or non-agricultural land. Those are the conditions under which studies consistently find no impact — and they are standard conditions in modern special use permits.

Sources: Lawrence Berkeley National Laboratory (Energy Policy, 2023); Gaur & Lang, University of Rhode Island (2020); Michaud & Hao, Solar Compass (December 2024); CohnReznick paired-sales analyses (2021). Facts verified July 27, 2026. Free to cite with attribution and a link. Terms explained in our Clean Energy Glossary.