Debt Relief Data Shows Location and Utilization Are Key to Predicting Default

Most people actively seeking debt relief have the highest credit utilization rates — an average of 89% — heavily concentrated in credit card debt, according to a midyear review by Freedom Debt Relief.

The review of tens of thousands of people in the U.S. looking for help with their debt showed those living in five states, California, Nevada, Kansas, Montana, and Idaho, had the most debt.

The company found that 1 in 4 people seek its help with at least one account in collections, and the average size of the collection is more than $3,000 split between one or two accounts.

Americans burdened by collection debt are typically battling something beyond late payments — they’re fighting deep and long-term financial impairment.

People seeking debt relief had an average of 14 tradelines, including more than five credit cards, and $8,500 in credit card debt. In some cases, the path to default begins well before collections — when credit is used to cover day-to-day needs.

These warning signs are crucial to lenders, especially those in near-prime or subprime arenas. Delinquency often begins with a missed utility bill or an unexpected repair.

Forewarnings — high utilization, for example — offer a window of opportunity to act in a proactive capacity. Strategic products, such as line freezes or hardship programs, can catch accounts before they fall into charge-off.

Risk varies drastically by state. In California, borrowers with collections have an average debt of $4,513 — significantly higher than borrowers nationwide. Though in California just 16% of pursuers of debt relief have collections, 27% of borrowers from Kansas and Nevada have collections, and their average debts are roughly $4,000.

Montana and Kansas also have the highest collection accounts per consumer — more than two. This trend indicates more systemic and persistent financial difficulties. In these two states, consumers may be overwhelmed, having multiple debts with minimal capacity to repay them.

Geography matters to creditors. Two borrowers with similar credit may have drastically different propensities depending on local economic norms and support mechanisms. Incorporating ZIP-code-level trends into pricing or account handling strategies can enhance risk models.

Credit card use is at the heart of these debt profiles. Most consumers in collections had been relying on revolving credit already. The balances of those seeking debt relief range between $8,000 and $10,000, and their utilization rate is around 90%.

That sort of dependence on credit is a red flag. When balances reach their limits, compound interest takes hold and minimum payments simply don’t move the needle. The balance eventually controls the borrower, and collections generally aren’t far behind.

High credit utilization can easily lead to negative financial outcomes, including default and collections.

Utilization on its own can reduce credit scores before a payment is late. Lower scores make new credit more expensive — and often out of reach. Lenders would prefer offering secured credit cards or builder loans as a safer way to reestablish credit with minimum risk of default.

Other age groups face different financial burdens. Borrowers ages 36 to 50 carry the highest collection balances — likely due to mortgages, children, and high-priced life expenses. Those 50 and older have accumulated substantial credit card debt, likely due to greater access to credit or fewer available repayment options.

Younger adults, and particularly 18- to 25-year-olds, are a different type of risk. Even with lower balances, these young adults are using 96% of their available credit. When their limits are only a mere $1,000, a small emergency can max them out.

The lender must look beyond how much is owed. A small account can remain high-risk if there are no funds available to absorb additional costs. Adding available credit or real-time capacity measures to underwriting could yield a better risk profile.

Subprime and near-prime lending requires more than basic credit scoring. Lenders increasingly track tradeline volume, utilization trends, and regional patterns to gain deeper insight into borrower behavior.

Today’s risk-based lending demands real-time behavioral change tracking through dynamic models. Instruments that monitor shifts in employment, spending patterns, and other markers can detect increased distress before delinquency happens.

Options are limited by the time a consumer calls Freedom Debt Relief. But creditors who note warning signs earlier can pivot — offering payment modifications, restructuring options, or in-house routing to experienced collections teams.

In a tightening market, such strategies can preserve both customer relationships and portfolio performance.