How to Screen Tenants in Ohio Without Breaking Fair Housing Law (2026 Update)

Applications are coming in. You need to pick the right tenant, but one screening mistake can cost you thousands in legal fees, lost rent, or both. With HUD pulling its fair housing guidance just days ago, here’s what Ohio landlords actually need to know right now.

Disclaimer: This article is informational only and does not constitute legal advice. Fair housing law is complex and varies by jurisdiction. Consult a qualified Ohio attorney for guidance on your specific situation.

What Just Changed: HUD’s April 2026 Fair Housing Guidance Withdrawal

On April 3, 2026, HUD pre-published a Federal Register notice withdrawing eight guidance documents from its Office of Fair Housing and Equal Opportunity. The formal notice was published April 6, 2026, though the effective date of the withdrawal was September 17, 2025.

The withdrawn guidance covered several areas that directly affect how landlords screen tenants and manage their properties: the use of criminal records in tenant screening (a 2022 guidance document), assistance animal accommodations (both the 2013 and 2020 guidance), digital advertising practices, source-of-income testing, and protections related to limited English proficiency and gender identity.

Here’s the critical distinction: the guidance was withdrawn, but the Fair Housing Act was not. The statute is federal law, passed by Congress. HUD’s guidance documents were interpretive roadmaps explaining how the agency believed the law should be applied. Withdrawing the roadmap doesn’t change where the roads are.

The guidance changed. The law didn’t. Landlords who relax their screening standards based on this withdrawal are increasing their risk, not reducing it.

As Navigate Housing noted in its analysis, the withdrawal does not erase private litigation risk. HUD’s own notice states that complainants may still file civil actions in federal or state court within two years of an alleged discriminatory practice. And HUD has separately proposed rescinding the disparate impact regulation entirely, further signaling a shift toward the courts (rather than the agency) as the primary venue for resolving fair housing disputes.

What this means for Ohio landlords: if your screening policies were legally sound before this withdrawal, keep them. If they weren’t, this withdrawal doesn’t fix them. The law hasn’t changed, and the risk of private lawsuits hasn’t gone away.

 

The Basics: What Fair Housing Actually Requires in Screening

Fair housing law operates at three levels in Columbus, and landlords need to comply with all of them.

Federal protected classes (under the Fair Housing Act): race, color, national origin, religion, sex (including sexual orientation and gender identity), familial status, and disability.

Ohio state protected classes (under Ohio Revised Code § 4112): all federal classes plus ancestry and military status.

Columbus city protected classes (under Columbus City Code § 2331.02): all federal and state classes plus age (40+), sexual orientation, gender identity or expression, and source of income. That source-of-income protection is significant: landlords in Columbus cannot refuse to rent to someone because they use housing assistance (such as Section 8 vouchers) as part of their payment. Several other Central Ohio municipalities (including Gahanna, Westerville, Bexley, Grandview Heights, Upper Arlington, Reynoldsburg, Pickerington, Whitehall, and Worthington) have similar source-of-income protections.

The practical principle behind all of these protections is straightforward: apply the same screening criteria, the same way, to every applicant. Inconsistency is where most violations happen. A landlord who requires 3x income from one applicant but waives it for another, or who runs a criminal background check on some applicants but not all, is creating exactly the kind of pattern that triggers complaints.

Fair housing violations aren’t usually about intent. They’re about inconsistency. Same criteria, same process, every applicant.

A January 2026 case illustrates the cost of getting this wrong. Greystar California (managing 333+ apartment complexes) settled a fair housing complaint after a prospective tenant alleged their application was rejected based on an unrelated misdemeanor. The settlement required the company to review and revise screening policies statewide, train staff, and pay compensation. That case involved blanket criminal history rejections, which is exactly the kind of policy that creates legal exposure regardless of whether HUD’s guidance is in effect.

 

What We Actually Check and Why

RLPM’s screening criteria are designed to be defensible, documented, and applied consistently to every applicant. Here’s what gets checked and the rationale behind each standard.

Income: at least 3x monthly rent. This is a widely used industry benchmark that measures an applicant’s ability to pay rent and still cover basic living expenses. Income is verified through pay stubs or bank statements, not self-reported figures. The threshold is the same for every applicant regardless of income source (wages, self-employment, disability, retirement, housing assistance).

Criminal history: no violent criminal convictions. This is an individualized standard, not a blanket ban. The focus is on violent offenses, which are directly relevant to the safety of other residents and the property. This approach aligns with the general legal principle (even post-withdrawal) that screening policies should consider the nature and severity of the offense rather than automatically disqualifying all applicants with any criminal record.

Rental history: no evictions in the past 5 years. Eviction history is one of the strongest predictors of future tenancy problems. RLPM verifies rental history through landlord references and eviction court records, not just applicant-provided information (more on why that matters in the fraud section below).

Credit history: no serious or recurring credit issues. This is evaluated in context, not as a rigid score cutoff. The goal is to identify patterns (collections, judgments, chronic delinquency) that indicate financial instability, not to penalize a single late payment from three years ago.

Security deposit: 1-2 months’ rent, calibrated by credit. This sliding scale protects the owner while keeping the door open for applicants whose credit isn’t perfect but whose overall profile is strong. It’s a risk management tool, not a barrier.

Every criterion is applied the same way to every applicant. That consistency is what makes the process legally defensible. It’s also what makes it fair.

 

Rental Application Fraud Is Surging: Here’s What to Watch For

This is the screening challenge that doesn’t get enough attention. While fair housing compliance focuses on what you’re allowed to consider, application fraud focuses on whether the information you’re reviewing is even real.

The numbers are striking. According to a joint NMHC/NAA survey, more than 70% of major apartment landlords reported an increase in fraudulent rental applications. And the fraud is getting harder to catch: before the pandemic, property managers detected about 90% of fraudulently altered applications; now that number has dropped to roughly 75%.

The most common types of rental application fraud include falsified pay stubs or bank statements (digitally altered to show higher income), fake landlord references (friends or family posing as former landlords), synthetic identities (combining real and fabricated data to create fictitious applicants), altered credit reports (removing negative items before submission), and omitted information (hiding past evictions, criminal history, or unauthorized occupants).

Fraud detection has dropped from 90% to 75% since the pandemic. The gap is where bad tenants slip through.

For self-managing owners, catching this kind of fraud is increasingly difficult. Falsified pay stubs created with modern editing software can look identical to genuine documents. Fake landlord references are impossible to detect unless you independently verify that the property exists and that the “landlord” actually owns it. Professional screening processes use cross-referencing, document verification tools, and consistent procedures that catch red flags a manual review would miss.

This is one of the areas where professional property management provides the most tangible ROI. A single fraudulent tenant who stops paying rent can cost $5,000 or more in lost rent, legal fees, and property damage before the eviction process is complete. The screening that prevents that placement pays for itself many times over.

 

AI in Screening: What’s Changing and What to Watch

AI-powered screening tools are becoming standard in property management. They can process applications faster, verify documents, and flag inconsistencies that human reviewers might miss. But they also introduce a specific legal risk that landlords need to understand.

In 2024, HUD released guidance addressing how the Fair Housing Act applies to algorithmic screening. That guidance identified three screening areas most likely to create fair housing concerns when AI is involved: credit history, eviction history, and criminal records. The concern is that algorithmic screening can produce discriminatory outcomes even without discriminatory intent (if the underlying data reflects historical patterns of discrimination).

That HUD guidance was among the documents withdrawn in April 2026. But the withdrawal doesn’t eliminate the underlying legal risk. The Fair Housing Act still prohibits practices that have an unjustified discriminatory effect, and state courts can (and do) evaluate algorithmic discrimination claims independently of HUD guidance. A screening tool company also faced a fair housing complaint for allegedly producing discriminatory results, demonstrating that the liability can extend to both the software provider and the landlord using it.

The practical takeaway: whether you use AI tools or review applications manually, the same principles apply. Individualized assessment, documented criteria, and consistent application across all applicants remain the safest approach. If your AI screening tool automatically rejects applicants without individualized review, that’s functionally the same as a blanket ban, and it carries the same legal exposure.

 

Common Screening Mistakes That Cost Columbus Landlords

Most screening violations aren’t intentional. They’re the result of informal processes, inconsistent standards, and shortcuts that feel reasonable in the moment but create legal exposure over time. Here are the most common ones.

Using social media to screen applicants. Social media profiles inevitably reveal protected characteristics (race, religion, familial status, disability, age). Even if you make your decision based on legitimate factors, viewing a profile before deciding creates a burden to prove that protected information played no role. The safest approach: don’t look.

Inconsistent criteria between applicants. Requiring a higher security deposit from one applicant than another, waiving income requirements for some but not all, or running background checks selectively creates a pattern that can be interpreted as discriminatory, even if the intent was benign.

Failing to provide adverse action notices. Under the Fair Credit Reporting Act (FCRA), if you deny an applicant based on information from a credit report or background check, you’re required to provide a written adverse action notice explaining the decision. Skipping this step is one of the most common compliance failures, and it’s easily avoidable.

Relying on gut feeling rather than documented standards. “Something felt off” is not a defensible screening criterion. Every decision should be traceable to a specific, documented standard that’s applied equally to all applicants.

Not verifying landlord references independently. Applicants who list friends or family as former landlords are committing fraud, and it’s surprisingly common. Verify that the property exists, confirm ownership through public records, and call the landlord directly at a number you’ve independently located (not the one the applicant provided).

The most expensive screening mistake isn’t rejecting a good tenant. It’s approving a bad one because the process had gaps.

Frequently Asked Questions

Does the HUD guidance withdrawal mean I can now use blanket criminal history bans?
Not safely. The Fair Housing Act still applies, and private lawsuits remain available. The Greystar settlement in January 2026 shows that blanket criminal history policies still carry significant legal risk. Individualized assessment remains the recommended approach.

What are the protected classes in Columbus, Ohio?
Columbus protects 12 classes: the seven federal classes (race, color, national origin, religion, sex, familial status, disability), two Ohio additions (ancestry, military status), and three Columbus additions (age 40+, sexual orientation, gender identity or expression). Columbus also prohibits source-of-income discrimination.

Can I reject an applicant who has an eviction on their record?
Yes, if your policy is applied consistently to all applicants and the eviction falls within your stated lookback period. RLPM’s standard is no evictions in the past 5 years. The key is consistency: if you make exceptions for some applicants, you need to document why and ensure the exception isn’t based on a protected characteristic.

How do I verify that a landlord reference is legitimate?
Don’t rely on the phone number the applicant provides. Look up the property address through Franklin County Auditor records to confirm ownership, then contact the owner directly using independently sourced contact information.

What’s an adverse action notice, and when do I need to send one?
If you deny an applicant based on information from a consumer report (credit check, background check, or screening report), the FCRA requires you to provide written notice explaining the denial, the name of the reporting agency, and the applicant’s right to dispute. This applies to every denial, not just ones where the applicant asks.

Should I stop using AI screening tools because of the HUD withdrawal?
Not necessarily. AI tools can improve accuracy and efficiency. But any screening tool (AI or manual) needs to allow for individualized assessment and consistent application. If your tool automatically rejects applicants without human review, that creates the same legal risk as a blanket ban.

Is it worth hiring a property manager just for tenant screening?
Screening is one of the highest-risk activities in property management. A single placement error can cost thousands in lost rent, legal fees, and property damage. Professional screening combines consistent criteria, document verification, fraud detection, and Fair Housing compliance into a repeatable process that protects the owner’s investment.

How much does RLPM charge for tenant screening?
Tenant screening is included in every management plan at no additional cost. There is no separate screening fee for owners. RLPM’s screening covers credit history, criminal history, rental history (including landlord references), and income/employment verification.

Sources & Suggested External Links

• Federal Register — Notification of Withdrawal of FHEO Guidance Documents (April 6, 2026)
• HUD Memorandum — Notice of Withdrawal of Guidance Documents (PDF)
• Navigate Housing — Fair Housing Guidance Withdrawal Analysis (April 2026)
• NAHRO — HUD Withdraws Eight Fair Housing Notices (April 3, 2026)
• National Apartment Association — Federal Regulatory Changes and Disparate Impact (January 2026)
• Spencer Fane — HUD Disparate Impact Framework Analysis (January 2026)
• California Civil Rights Department — Greystar Fair Housing Settlement (January 2026)
• Ohio Development Services Agency — Know Your Rights: Fair Housing (PDF)
• City of Columbus — Protected Classes in Columbus
• COHHIO — Ohio Source of Income Discrimination Protections
• RLPM Blog — Understanding Columbus Rental Laws
• RLPM Live KPI Scorecard — Current Performance Metrics