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New detention centers do not automatically lower nearby property values, but the available studies do not show that every neighborhood is unaffected either. One study of prison openings estimated small declines concentrated closest to facilities; a separate study of urban correctional-facility establishments found no statistically significant relationship with lower property values. Neither result directly predicts what a proposed immigration detention warehouse would do to a particular home or neighborhood.
For homeowners, buyers, and local officials, the useful question is not simply whether a facility affects property. It is which facility, at what stage, in what local market, at what distance, and measured against which comparison area. The evidence also points to issues beyond sale prices, including infrastructure, local employment, design, noise, and community perception.
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What do the studies say about nearby home values?
The findings are mixed, and their differences matter. A 2018 working paper by Janjala Chirakijja examined 230 prison openings in the United States during the 1990s, alongside a comparison of communities that won or lost Texas prison-site competitions. The paper estimated that prison openings decreased housing values by 2–4 percent, with negative effects concentrated in neighborhoods closest to new prisons. That estimate is specific to the paper’s prison-opening samples and methods; it is not a general forecast for every detention center.
A separate peer-reviewed study by Kelly McGeever examined correctional-facility establishments from 1990 to 2000 across 12,790 neighborhoods in 124 large U.S. cities. It found that establishing a correctional facility was not statistically related to lower property values or other unfavorable housing characteristics, regardless of the correctional type studied. The author cautions that the exact establishment dates within the decade were unknown, the estimates had large standard errors, and the study could not rule out a short-term decline followed by stabilization.
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These results do not cancel each other out. The studies cover different places, facility populations, periods, methods, and measures. One reports a localized effect in its prison-opening samples; the other does not find a statistically significant relationship in a broad urban-neighborhood analysis. Neither establishes that every home near a facility will lose value—or that no home or small area will be affected.
Local historical evidence is mixed in its own way. An Alameda County draft environmental review summarized a 2002 analysis of transactions near Santa Rita Rehabilitation Center in Dublin. It reported no significant negative effect on nearby residential value growth in that case, with some local sale-price measures performing comparably to or better than the rest of Dublin. That is a case study from one market, not a portable forecast for another site. The review’s statement that the literature generally found no statistically significant correlation reflects the evidence available for that 2003 document, not a present-day study of new detention proposals.
More Just NYC’s 2019 analysis compared property values and crime around four existing New York City lockups with broader neighborhoods, and considered trends around a reopening and a closure. Contemporary coverage said the analysis drew on more than 10,000 property transactions and 500,000 NYPD complaints. It reported no observable impact in the comparisons made; prices near three facilities were above broader neighborhood medians, while the fourth differed depending on the comparison area. Those descriptive comparisons do not prove that a new facility has no price effect elsewhere.
Read Chirakijja’s working paper, McGeever’s peer-reviewed study, the Alameda County draft EIS/EIR, and the More Just NYC analysis for their respective scopes and findings.
Can prison studies predict the effect of an immigration detention center?
Not reliably on their own. The studies summarized here concern prison openings, urban correctional establishments, a California rehabilitation center, and existing New York City lockups. They do not directly measure the effect of current immigration detention warehouse proposals on nearby sale prices.
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Facility categories are not interchangeable. A prison, an urban correctional establishment, a lockup, and a proposed warehouse conversion may differ in setting, size, design, operations, and surrounding infrastructure. Even where two projects share a label, the neighborhood and local housing market may differ. A finding from a prison-opening study can provide context, but applying its percentage to a different type of facility would overstate what the evidence supports.
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Recent Associated Press reporting describes concerns raised around proposed immigration detention warehouse conversions, including water and sewer capacity, infrastructure, local taxes, facility scale, and lack of consultation. Those reports document community concerns, not a causal estimate of sale-price effects. They do not establish that a proposal will lower values or quantify any change.
When evaluating a local proposal, first establish the facility’s status: announced or proposed, approved, under construction, or operating. These stages may prompt different perceptions and actual neighborhood impacts, and a study that measures one stage should not be treated as evidence about another. Also confirm what the project is designed to do and what its environmental or planning documents say about size, access, utilities, landscaping, and security design rather than assuming that a broad facility label answers those questions.
Why can a facility affect homes differently within the same area?
A neighborhood-wide average is not a valuation of each nearby property. The prison-opening paper reports its negative effects as concentrated closest to new facilities, while the urban study’s broad neighborhood-level results do not show a statistically significant relationship. Together, these findings make distance worth checking, but they do not provide a universal radius within which a home loses value.
Other factors also make local comparisons difficult. Homes differ in their characteristics, and housing markets can change over time. A shift in sale prices near a site may coincide with other market changes, making it difficult to attribute the movement to the facility alone. The available studies do not supply a formula that can isolate a particular property’s facility-related effect.
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Timing matters too. A proposal announcement, construction period, opening, and ongoing operation are distinct points to examine. McGeever’s study could not pinpoint when establishments occurred within the 1990–2000 decade, limiting its ability to identify shorter-term changes. The New York analysis looked at comparisons around an existing-facility reopening and closure, but its local findings are not causal proof for another location.
Finally, the outcome being discussed must be clear. Sale prices are not the same as rents, vacancy, crime complaints, employment, taxes, or utility capacity. A study finding no statistically significant property-value relationship does not establish that a facility has no effect on any of those other outcomes.
What neighborhood issues should residents assess besides sale prices?
Property value is only one part of a facility’s local footprint. For a construction proposal, utility and infrastructure capacity can be a concrete planning question: recent reporting on warehouse conversions describes residents raising water and sewer capacity and infrastructure concerns. A local review should distinguish documented project requirements and capacity findings from concerns that have not yet been assessed.
Local fiscal effects deserve similarly specific treatment. The AP reports that communities have raised questions about local taxes, but the coverage does not provide a general estimate of a project’s net fiscal effect. The prison-opening working paper found local employment gains driven largely by prison jobs, without substantial spillovers into other sectors or a major broader local economic boost beyond direct prison employment. That finding cautions against treating a facility’s jobs as proof of broad economic growth, while still recognizing direct employment as one possible local effect.
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Residents in the Alameda County review raised concerns about community image, blight, noise, crime risk, and property values. The review also discussed low-key design, landscaping, and security design as ways to address perceptions and project impacts. These are issues for the particular design and site review—not proof that a facility necessarily causes blight, crime, or a price decline.
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For a construction or planning discussion, it is more useful to ask what the site-specific documents say about the project than to rely on a generic claim about detention facilities. Relevant questions include what utility demand is forecast, whether existing capacity is addressed, how the project fits the site, and what landscaping or security design is proposed. The answers should be tied to the actual project record; the studies described above do not answer them for a new site.
How can homeowners or buyers check the local evidence?
Use general studies as background, then look for local sales evidence that matches the property and the facility’s timeline. A local comparison can help frame questions, but neither a handful of sales nor a standard appraisal automatically identifies what portion of a price change, if any, came from a facility.
- Pin down the event and date. Record when the facility was proposed or announced, when construction began, and when it opened or changed status. Avoid combining sales from before and after those events without noting the timing.
- Define the area being compared. Separate properties closest to the site from homes farther away, and identify the comparison area. Do not assume that a result for an entire city or neighborhood applies to a home next to the facility.
- Compare like with like. Look for sales of comparable homes and note property characteristics and transaction dates. If the area has changed more broadly, consider whether the same movement appears in places outside the immediate site area.
- Keep outcomes separate. Track sale prices separately from rent, vacancy, crime complaints, employment, tax questions, or utility capacity. Evidence about one does not settle the others.
- Check what the method can support. A local price comparison may describe what happened, but it may not show why it happened. Ask whether the analysis has a comparison area and a clear facility timeline, and whether it accounts for other market changes.
- Seek property-specific advice when needed. An independent local appraiser can provide an estimate for a particular home. That valuation should not be presented as a causal neighborhood study or as a definitive measurement of the facility’s contribution.
This approach helps avoid two common errors: applying a study’s average estimate to one property as if it were a guaranteed loss, and treating a broad finding of no statistically significant relationship as proof that no local effects occurred.
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Start with the scope of the claim. A reported percentage may refer to housing values in a specific study sample, not every home near every facility. The 2–4 percent estimate belongs to Chirakijja’s analysis of prison openings; it should not be quoted as an expected decline around a proposed immigration detention center.
Then ask what the comparison establishes. A difference between prices near a facility and prices elsewhere is not automatically a causal effect. A causal claim needs a credible way to distinguish the facility’s influence from other changes in the market. McGeever’s work used propensity-score matching, but its imprecise establishment timing and large standard errors are important qualifications. More Just NYC’s comparisons describe the facilities and areas it examined; they cannot establish a general effect for a new project in another city.
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Also pay attention to statistical uncertainty. “Not statistically significant” does not mean “proved to be zero.” It means the study did not establish a statistically significant relationship in its analysis; the author may still identify limits that prevent ruling out a short-term or localized effect. Conversely, a negative estimate in one study does not establish that the same result will occur in a different place or with a different facility.
The most defensible conclusion is conditional: the studies reviewed show mixed results for prisons and correctional facilities, and they do not provide a representative current estimate for new immigration detention centers. For a particular property or community, local timing, distance, comparable transactions, project details, and other market changes are essential to interpretation.
Frequently Asked Questions
Does “no statistically significant effect” mean a detention center cannot affect home prices?
No. It means that a particular analysis did not establish a statistically significant relationship using its data and method. McGeever noted limits that included imprecise facility timing and substantial variation in estimates, so the result should not be read as proof that every location is unaffected.
Should I use the 2–4% prison estimate to negotiate a home’s price?
Not as a property-specific discount. That estimate comes from a working paper’s analysis of prison openings, not a valuation rule for a particular home or a direct study of an immigration detention proposal. A local appraiser can estimate a home’s value, but that alone will not isolate the facility’s causal contribution.
Are the New York City jail findings proof that nearby crime or prices will not change elsewhere?
No. The New York analysis covered four existing lockups and comparisons within one city, using local transaction and complaint data. Its reported results are useful context for those facilities, not a causal prediction for a new site in another housing market.
What information should a town request before approving a detention facility conversion?
Ask for project-specific material that addresses the proposed facility’s scale, water and sewer demand, other infrastructure needs, site design, landscaping, security design, and local fiscal questions. Recent reporting confirms that communities have raised these concerns, but the studies summarized here do not answer them for any particular proposal.
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