Men vs. Women: Who Wins the Credit Game?

by Kerry Rivera 3 min read March 14, 2016

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It’s the “Battle of the Sexes” credit edition. Who sports higher scores, less debt and more on-time payments? According to Experian’s latest analysis, women take the credit title. Thank you very much.

The report analyzed multiple categories including credit scores, average debt, number of open credit cards, utilization ratios, mortgage amounts and mortgage delinquencies of men and women in the United States.

Results revealed:

  • Women’s average credit score of 675 compared to men’s score of 670
  • Women have 3.7 percent less average debt than men
  • Women have 23.5 percent more open credit cards
  • Women and men have the same revolving utilization ratio of 29.9 percent
  • Women’s average mortgage loan amount is 7.9 percent less than men’s
  • Women have a lower incidence of late mortgage payments by 8.1 percent

“There were several gaps between men and women in this study, including the five-point credit score lead that the women hold,” said Michele Raneri, Experian’s Vice President of Analytics and New Business Development. “Even with more credit cards, women have fewer overall debts and are managing to pay those debts on time.”

The report also takes a look at the vehicle preferences of men and women and how those choices play into their overall credit and financial health. Below are the top-line results:

  • Women were more likely to purchase a more functional, utilitarian vehicle, while men tended to lean toward sports cars and trucks
    • The top three vehicle segments men purchased in 2015 were mid-size pickup trucks, large pickup trucks and standard specialty cars. In fact, they were 1.37 times more likely to purchase a mid-sized pickup truck than the general population
    • The top three vehicle segments for women were small crossover-utility vehicles, mid-size sports-utility vehicles and compact crossover-utility vehicles. Women were 1.40 times more likely to purchase the small crossover-utility vehicle than the general population

Experian conducted a similar study, comparing men and women on various credit attributes in 2013. At that time, women also scored higher than men in the credit score category – holding steady with a 675 VantageScore® credit score compared to the men’s 674 VantageScore® credit score, but the gap has widened, with the men’s score further lowering to 670.

While men’s scores have dropped since 2013, the overall financial health for both sexes is strong. Most notably, the mortgage 60-plus delinquency rate has dropped significantly. In the 2013 pull, men were tracking at 5.7 percent and women were 5.3 percent. Today, those numbers have dropped to .86 percent for men and .79 percent for women. What a difference a few years has made in regards to the recovering housing market.

Time will tell if the country’s state of credit will continue to trend higher, as indicated in the 2015 annual report, or if the buzz of potential recession and an election year will reverse the positive trend.

As for now, the women once again claim bragging rights as it pertains to credit.

Analysis methodology

The analysis is based on a statistically relevant, sampling of depersonalized data of Experian’s consumer credit database from December 2015. Gender information was obtained from Experian Marketing Services.

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This matters because consumer behavior is becoming more fluid, fraud is becoming more sophisticated and product strategies are becoming more specialized. A customer may appear strong through one lens and risky through another. An application may pass an onboarding check, but later show behavior that suggests emerging fraud or repayment stress. Without a connected view, those signals may stay trapped in different systems or teams. The 2026 State of Fintech Report highlights this shift across several areas. Fintechs are managing credit cards and unsecured personal loans with greater precision, recognizing that each product requires different strategies and risk controls. Credit cards require ongoing account management because exposure continues after origination. Unsecured personal loans follow a fixed repayment structure, which makes underwriting precision especially important at the point of origination. These differences show why a one-size-fits-all strategy cannot support modern fintech growth. A unified consumer view helps lenders apply the right data, risk framework and customer strategy to the right product at the right time. Siloed decisions create blind spots Many fintechs already use multiple sources of data. They may rely on traditional credit data, alternative data, fraud tools, cash flow information, identity verification and internal account performance data. If those signals are managed separately, the organization may still lack a clear view of the customer. Data can become fragmented. Risk teams can reach different conclusions than fraud teams. Product teams can pursue growth without a full understanding of emerging portfolio pressure. The State of Fintech Report points out that fintech competition is increasingly defined by the ability to align data strategies with decision frameworks. That means data is not just a support function. 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Product complexity requires better decisioning The need for a unified consumer view becomes even clearer when looking at how fintechs manage different credit products. Fintech lenders continue to originate approximately 1.5 unsecured personal loans for every one credit card, which reinforces the importance of both products within portfolio strategy. Credit card originations continue to grow moderately while unsecured personal loan originations have slowed after tighter lending standards. These patterns suggest that fintechs are not simply shifting from one product to another. They are becoming more mature in how they manage each product based on its structure, risk profile and consumer use case. Credit cards and installment loans behave differently. Credit cards introduce ongoing exposure and require active account management, line management and monitoring of utilization behavior. Unsecured personal loans carry fixed terms and structured repayment schedules, which makes origination quality especially important. For fintechs, this means product strategy and risk strategy must be tightly connected. The same consumer may need to be evaluated differently depending on the product, loan amount, repayment expectations and observed behavior. A unified consumer view gives lenders the context needed to make those differences actionable. This is also where segmentation becomes more sophisticated. The State of Fintech Report’s loan segmentation framework connects strategy, risk and data advantage across small-dollar, mid-tier and large-ticket loans. Small-dollar lending can support thin-file acquisition, but may require alternative data and stronger identity visibility. Mid-tier lending may involve debt consolidation and cash flow pressure, where transaction insights and trended data can be particularly useful. Large-ticket lending can support higher-value growth, but it also creates greater exposure and may require a fuller combination of credit, fraud and identity signals. This kind of framework helps fintechs align product strategy with risk and data strategy in a more deliberate way. Fraud is making the unified view even more urgent Fraud is another reason fintechs need to move beyond siloed decisioning. Fraud is becoming more complex across the customer lifecycle. Synthetic identities, first-party misuse and AI-driven threats are reshaping the risk landscape. Traditional controls that focus primarily on onboarding are no longer enough. Effective strategies now require continuous monitoring across account access, transactions and servicing. That shift changes how fintechs should think about customer intelligence. Fraud is no longer something that only happens at the point of application. 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Growth will continue to depend on product innovation, customer acquisition and speed to market. But the lenders that separate themselves will be the ones that can connect those growth priorities to a stronger decisioning foundation. That requires a consumer view that is broader than a credit profile, deeper than a fraud check and more actionable than a data warehouse. It requires a unified framework that helps lenders understand who the customer is, how the customer behaves and how risk may change over time. Download the 2026 State of Fintech Report The next phase of fintech will not be defined by a single innovation. It will be defined by the ability to connect identity, credit and behavioral data into more confident decisions across the full customer lifecycle. Fintechs that build this unified view will be better positioned to grow, manage risk and strengthen customer trust in a more complex market. 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