Wage Garnishment Looms, Putting Credit Card and Personal Loan Payments at Risk

Millions of Americans with federal student debt are facing a stark choice: allow the government to garnish their wages or restructure the rest of their debts.

With the Department of Education signaling a restart of involuntary collections, including wage garnishment and tax or benefit offsets, borrowers report they would put student loans ahead of other unsecured credit.

That’s the central finding from TransUnion — and it’s one lenders can’t afford to ignore.

Wage garnishment has long been a standard tool for collecting debts, typically used for unpaid taxes, child support, and certain federal loan defaults. The pandemic temporarily paused this trend, but recent signals point to its return, with more notices expected throughout 2025.

This shift is tangible, not hypothetical. Credit cards, once near the top of household payment priorities because of their everyday utility, may now face stiffer competition for attention as garnishments take a larger bite.

As TransUnion’s Senior Vice President and Consumer Lending Business Leader Joshua Turnbull told us in an exclusive briefing, the looming threat “is causing a potential shake-up amidst the traditional payment hierarchy. Many are being forced to make difficult, short-term prioritization decisions as cash flows fail to meet spending and debt obligations.”

It’s direct. It’s immediate. And it reshuffles who gets paid first when money are tight.

The numbers make the point bluntly: as of mid-2025, roughly 29% of federal student loan borrowers in repayment — about 5.4 million individuals — were 90 or more days delinquent. That’s a persistent pool of consumers who face real collection risk.

The Department of Education’s April 2025 announcement that collections would resume gave lenders a firm deadline — and a strong incentive to act quickly.

One effect is the shrinking of the prime borrower segment. TransUnion data show that many borrowers who were once prime have lost 100 to 175 points on their credit scores after student loan delinquencies. Even when these accounts are eventually resolved, recovery is only partial.

The practical consequence: consumers who were once eligible for low-cost credit now appear riskier on paper. Lenders using fixed score cutoffs will find fewer applicants meeting those thresholds.

Institutions aren’t waiting. Some are immediately adjusting pre-screen acquisition filters to avoid consumers with nonperforming federal student loans, even if their scores technically meet requirements.

Others are pausing or tightening credit line increases for borrowers showing signs of student loan strain. These moves are direct and effective: limiting new exposure helps protect existing portfolios.

Beyond these broad steps, more targeted strategies matter. Segmenting portfolios to layer federal student loan status over payment behavior lets lenders distinguish between borrowers who truly lack capacity and those who are simply confused about repayment rules.

Use the data to differentiate: a borrower who was been making extra payments elsewhere but left a student loan unpaid is very different from someone with no spare cashflow. That distinction should guide underwriting and intervention strategies.

Another practical risk: administrative wage garnishment can withhold up to roughly 15% of disposable income in certain cases. That’s significant — a sudden 15% drop in take-home pay can instantly change affordability calculations and push marginal accounts into delinquency across other products.

One striking pattern in the data is that a significant portion of delinquencies appears to stem from confusion rather than from an inability to pay.

In the briefing, Joshua Turnbull explained that some borrowers were making “$500–$1,000 more than what’s owed from a minimum payment due standpoint” on other obligations while still going delinquent on student loans.

Some borrowers are facing delinquency due to confusion surrounding the state of student loan forgiveness.

Some people say they believed forgiveness was coming; others simply misunderstood their obligations after the pandemic-era hiatus. The result: credit scores get dinged needlessly, borrower behavior becomes more erratic, and portfolio signals lose reliability.

For lenders, this ambiguity matters because it produces false positives — borrowers who look risky on paper but are likely to recover quickly — and false negatives — borrowers whose financial stress remains hidden until garnishment exposes the problem.

Where this really tightens is in subprime channels. As prime consumers shift down the spectrum, the subprime pool swells — more volume, more volatility. Subprime lenders already operate on thin margins; higher delinquencies compress returns and force tougher tradeoffs between growth and risk control.

That dynamic is already visible: Delinquency rates among nonprime credit card portfolios have moved sharply higher in 2025. The gap between prime and subprime performance is widening, and it’s accelerating the need for risk-sensitive pricing and faster interventions.

Smaller banks and nonbank issuers without advanced analytics bear the brunt: they cannot underwrite with the same precision, and they feel portfolio stress sooner.

Competitive behavior will diverge sharply. Larger issuers with deeper data and more diversified balance sheets can be selective — withdraw from certain acquisition lanes and lean into customers with clearer cashflow signals. Smaller lenders may try to hold market share by tightening prices or adjusting terms; both strategies carry costs.

For subprime-focused lenders, the question is clear: manage risk faster, or face margin erosion.

Lenders who act early should focus on managing risk while maintaining strong customer relationships:

• Modify pre-screening campaigns to exclude consumers with nonperforming federal student loans from acquisition targets.
• Pause or carefully manage line increases for borrowers with recent student loan delinquencies.
• Use layered segmentation to separate confusion-driven delinquencies from capacity shortfalls.
• Bolster outreach programs — simple reminders and targeted help can drive cures and preserve long-term relationships.
• Stress test portfolios for an income shock of up to 15% to model cross-product contagion.

This episode should settle over time — the affected pool is finite — but expect prolonged recovery periods. Individuals can remain impaired for months; some for years.

For lenders, the immediate window matters: Decisions made today on acquisition, line management, and borrower engagement will shape performance into next year.

Rigging risk models, leaning into better segmentation, and stepping up borrower outreach are not optional niceties; they’re practical steps that will determine who adjusts smoothly and who struggles when the garnishments start hitting paychecks.