State of Credit 2019: Rounding Out the Decade

by Stefani Wendel 4 min read December 19, 2019

As consumers prepare for the next decade, we look at how we’re rounding out this year. The results? The average American credit score is 682, an eight-year high.

Experian released the 10th annual state of credit report, which provides a comprehensive look at the credit performance of consumers across America by highlighting consumer credit scores and borrowing behaviors.

And while the data is spliced to show men vs. women, as well as provides commentary at the state and generational level, the overarching trend is up. Even with the next anticipated economic correction often top of mind for financial institutions, businesses and consumers alike, 2019 was a year marked by more access, more spending and decreasing delinquencies. Things are looking up.

“We are seeing a promising trend in terms of how Americans are managing their credit as we head into a new decade with average credit scores increasing two points since 2018 to 682 – the highest we’ve seen since 2011,” said Shannon Lois, Senior Vice President and Head of EAS, Analytics, Consulting & Operations for Experian Decision Analytics. “Average credit card balances and debt are up year over year, yet utilization rates remain consistent at 30 percent, indicating consumers are using credit as a financial tool and managing their debts responsibly.”

Highlights of Experian’s State of Credit report:

3-year comparison 2017 2018 2019  
Average number of credit cards 3.06 3.04 3.07
Average credit card balances $6,354 $6,506 $6,629
Average number of retail credit cards 2.48 2.59 2.51
Average retail credit card balances $1,841 $1,901 $1,942
Average VantageScore® credit score[1, 2] 675 680 682
Average revolving utilization 30% 30% 30%
Average nonmortgage debt[3] $24,706 $25,104 $25,386
Average mortgage debt $201,811 $208,180 $231,599
Average 30 days past due delinquency rates 4.0% 3.9% 3.9%
Average 60 days past due delinquency rates 1.9% 1.9% 1.9%
Average 90+ days past due delinquency rates 7.3% 6.7% 6.8%

In the scope of the credit score battle of the sexes, women have a four-point lead over men with an average credit score of 686 compared to 682. Their lead is a continued trend since 2017 where they’ve bested their male counterparts. According to the report, while men carry more non-mortgage and mortgage debt than women, women have more credit cards and retail cards (albeit they carry lower balances).

Generationally, Generations X, Y and Z tend to carry more debt, including mortgage, non-mortgage, credit card and retail card, than older generations with higher delinquency and utilization rates.

Segmented by state and gender, Minnesota had the highest credit scores for both men and women, while Mississippi was the state with the lowest average credit score for females and Louisiana was the lowest average credit score state for males.

As we round out the decade and head full-force into 2020, we can reflect on the changes in the past year alone that are helping consumers improve their financial health. Just to name a few:

  • Experian launched Experian BoostTM in March, allowing millions of consumers to add positive payment history directly to their credit file for an opportunity to instantly increase their credit score. Since then, there has been over 13 million points boosted across America.
  • Experian LiftTM was launched in November, designed to help credit invisible and thin-file consumers gain access to fair and affordable credit.
  • Long-standing commitments to consumer education, including the Ask Experian Blog and volunteer work by Experian’s Education Ambassadors, continue to offer assistance to the community and help consumers better understand their financial actions.

From what we can tell, this is just the beginning.

“Understanding the factors that influence their overall credit profile can help consumers improve and maintain their financial health,” said Rod Griffin, Experian’s director of consumer education and awareness. “Credit can be used as a financial tool. Through this report, we hope to provide insights that will help consumers make more informed decisions about credit use as we prepare to head into a new decade.”

Learn more

1 VantageScore® is a registered trademark of VantageScore Solutions, LLC.

2 VantageScore® credit score range is 300 to 850.

3 Average debt for this study includes all credit cards, auto loans and personal loans/student loans.

Related Posts

Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 2026 by Laura Burrows
One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

October 21, 2026 by Zohreen Ismail

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe