More Than a Score: The Case for Financial Inclusion

by Guest Contributor 7 min read February 7, 2022

Credit scores hold the key to many aspects of our financial lives. Whether qualifying for a mortgage, insurance, or a smartphone plan, financial institutions rely on credit reports — a document detailing how responsibly a person has used credit accounts in the past — to decide if they should approve your financing application.

However, here’s the problem: because today’s scoring system leans heavily on a person’s credit history to generate a credit score, it leaves out large segments of the United States population from accessing credit. According to a recent Oliver Wyman report, an estimated 28 million U.S. consumers are considered ”credit invisible,” while another 21 million are deemed “unscorable,” meaning they don’t have the types of accounts that have been traditionally used to generate a credit score. Using the traditional credit-scoring formula, certain populations, such as communities of color and low-income consumers, are left behind.

Now, times are changing. A modern approach to credit scoring can significantly improve the financial inclusion of millions of U.S. consumers and correct past and present inequities. ­Tapping into advanced technologies that leverage expanded data assets can produce powerful results.

A cycle of exclusion: The limitations of conventional credit scoring

A big part of the problem lies with how credit scores are calculated. Between payment history and length of accounts held, a consumer’s credit history accounts for 50 percent of a FICO credit score — the credit score used by 90 percent of top lenders for credit decisions. In other words, the credit system rewards people who already have (or can get) credit and penalizes those that cannot or don’t yet have credit.

For those who do not have credit, their financial behaviors ­— such as timely rental and utility payments, bank account data and payday loan installment payments — may not get reported to credit bureaus. As a result, consumers without a credit history may appear as credit invisible or unscorable because they don’t have enough tradelines to generate a score. But they also can’t get credit to improve their score. It creates a cycle of exclusion that’s hard to break.

Who gets left behind?

According to the latest research, the limitations on the traditional credit scoring system disproportionately impact certain communities:

  • Low-income: 30 percent of those in low-income neighborhoods are credit invisible, and 16 percent are considered unscorable, compared with just 4 percent and 5 percent, respectively, in upper-income neighborhoods.1
  • Communities of color: 27 percent of Black and 26 percent of Hispanic consumers are either credit invisible or unscorable, while only 16 percent of white consumers are.1
  • Immigrants: People who have recently arrived in the United States can lack a credit history here, even if they may have had one in their home country. Meanwhile, undocumented immigrants, who don’t have a Social Security number, can find it difficult to get a credit card or use other financial services.
  • Young adults: 40 percent of credit invisibles in the U.S. are under the age of 25,1 with 65 percent of 18- to 19-year-olds lacking a credit score.

Being labeled unscorable or credit invisible can hinder participation in the financial system and prevent populations from accessing the socioeconomic opportunities that go with it.

Why are certain individuals and communities excluded?

There are often complex — and valid — reasons for why many consumers are deemed unscorable or credit invisible. For example, newcomers may appear to be credit invisible because haven’t yet generated a credit history in the U.S., although they may have a solid score in their home country.

Young consumers are also a common category of unscorable or credit invisible people, largely because they haven’t acquired credit yet. Only 35 percent of 18- to 19-year-olds have a credit score, while 91 percent of 25- to 29-year-olds do. However, those who can quickly get a credit history typically come from wealthier households, where they can rely on a creditworthy guarantor to help them establish credit.

Finally, some consumers have had negative experiences with the financial system. For instance, a prior default can make it difficult to access credit in the future, which can result in an extended period without credit, eventually leading to being labelled unscorable. Others may distrust the mainstream financial system and choose not to participate.

Underpinning all this are racial disparities, with Black and Hispanic consumers being classified as unscorable and credit invisible at significantly higher rates than white and Asian consumers. According to the Consumer Financial Protection Bureau (CFPB), Black and Hispanic people, as well as low-income consumers, are more likely to have “scant or non-existent” credit histories.

Financial inclusion is an equity issue

Traditional credit scoring places big barriers on certain communities. Without access to credit, marginalized communities will continue to face challenges. They will lack the ability to purchase property, secure business and/or personal loans and deal with financial emergencies, further widening the wealth gap. Since credit scores are used to decide loan eligibility and what interest rate to offer, those with low or no credit rating tend to pay higher interest rates or are denied desired loans, which compounds financial difficulty. The impact is profound: a significant percentage of the population struggles to access basic financial services as well as life opportunities, such as financing an education or buying a home.

Without the ability to generate a credit score, unscorable or credit invisible consumers often turn to less-regulated financial products (such as payday loans or buy now pay later agreements) and pay more for these, often locking them in a vicious cycle. Consumers who are credit invisible or unscorable often end up paying more for everyday transactions. They may be required to put up hefty deposits for housings and utilities. Auto and homeowners insurance, which use credit score as a factor in setting rates, may be more expensive too. Consider how much this could impede someone’s ability to save and build generational wealth.

Financial inclusion seeks to bring more consumers into the financial system and enable access to safe, affordable financial services and products. With the right technology on your side, there are solutions that make it easier to do so.

Tap into technology

Banks, credit unions and other lending institutions are well positioned to move the needle on financial inclusion by embracing expanded definitions of creditworthiness. By seeking out expanded FCRA-regulated data with wider sources of financial information, financial institutions can find a vast untapped pool of creditworthy consumers to bring into the fold.

Technology makes achieving this goal easier than ever. New credit scoring tools, like Lift Premium™, can give lenders a more complete view of the consumer to use for credit decisioning. It combines traditional credit data with expanded FCRA-regulated data sources, helping lenders uncover more creditworthy consumers.

Lift Premium can score 96 percent of U.S. consumers, compared to just 81 percent that conventional scoring systems do now. By applying machine learning to expanded data sets, Lift Premium can build a fuller and more accurate view of consumer behaviors. Moreover, the 6 million consumers whose scores are now considered subprime could be upgraded to prime or near-prime by analyzing the expanded data that Lift Premium uses.

The opportunity presented by financial inclusion is significant. Imagine being able to expand your portfolio of creditworthy borrowers by almost 20 percent.

The last word

With a renewed focus on social justice, it’s no surprise that regulators and activists alike are turning their attention to financial inclusion. A credit-scoring system that allows lenders to better evaluate more consumers can give more people access to transparent, cheaper and safer financial products and the socioeconomic benefits that go along with them. New models and data assets offer additional data points into the credit scoring system and make it possible for lenders to expand credit to a greater number of consumers, in the process creating a fairer system than exists today. Early adopter lenders who embrace financial inclusion now can gain a first-mover advantage and build a loyal customer base in a competitive market.

Learn more Download white paper

1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022. 

Related Posts

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
Cash Flow Insights: Powering the Next Evolution in Lending

For decades, credit data has given lenders a trusted foundation for assessing risk. Now, consumer-permissioned cash flow data is adding another layer of insight into consumers’ financial lives, including income, spending, liquidity and changing financial obligations. The opportunity is significant. Nearly one in five consumers lacks access to or has damaged credit. New Experian research also shows that 60% of consumers who have previously been denied credit or received less favorable terms than expected believe the outcome would have been different if lenders had considered their recent income and banking activity alongside their credit history. 1,2 For lenders, cash flow insights can provide additional context about a consumer’s financial capacity and support more informed underwriting decisions. The next challenge is making those insights easier to use consistently and responsibly at scale. What are cash flow insights? Cash flow insights are derived from consumer-permissioned banking data and provide visibility into how money moves into and out of a consumer’s accounts. Depending on the information available, cash flow data can provide insight into financial behaviors such as: Income and income stability: Regular and irregular income streams and changes over time Spending and recurring expenses: Everyday spending patterns and ongoing financial obligations Account balances and liquidity: Available funds and changes in account balances Debt obligations: Loan payments and other recurring debt commitments Cash flow patterns: How money moves into and out of accounts over time Traditional credit information provides a rich history of how consumers have managed credit. Cash flow insights add context about their current financial activity and capacity, providing lenders with a more complete view of financial health. Cash flow insights can also add predictive value to risk assessment. Experian analysis shows Cashflow Score can deliver up to a 25% lift in predictive performance over conventional credit scores when tailored to targeted risk tiers.3 How lenders can put cash flow insights to work at scale As interest in cash flow insights grows, the conversation is moving beyond what the data can reveal to how financial institutions can use it consistently and responsibly. That requires standardized consumer reporting, clear governance and decision-ready insights that can work within established lending processes. The launch of Experian Cashflow Data Bureau at Vision 2026 reflects this shift from access to adoption. The new consumer reporting agency operates under the Fair Credit Reporting Act (FCRA) and is designed to help financial institutions adopt consumer-permissioned cash flow insights at scale. A key part of that foundation is the cash flow consumer report, which organizes consumer-permissioned banking information into a standardized consumer report regulated under the FCRA. This gives lenders a consistent foundation for incorporating cash flow information into lending decisions while providing consumers with access to the information in their report. Turning greater visibility into better decisions The next evolution in credit isn’t about choosing between traditional credit and cash flow data. Each provides a different perspective. Traditional credit information offers deep insight into how consumers have managed credit over time. Cash flow insights can add context about financial activity and capacity. Bringing those perspectives together can give lenders greater visibility into consumers’ financial health and help them better distinguish between risk and resilience, support more informed decisions and identify opportunities to responsibly expand access to credit. As cash flow adoption continues to grow, its value will come from how effectively it complements the information lenders already use. The opportunity isn't simply to see more data. It's to turn that additional visibility into smarter, more informed decisions. Explore how Experian Cashflow Data Bureau is helping financial institutions put consumer-permissioned cash flow insights into practice at scale. Learn more [1] Federal Reserve Bank of New York, The Market for Credit Building: Demand, Product Characteristics and Consumer Uses, 2026. [2] Experian commissioned Atomik Research to conduct an online survey of 2,000 U.S. adults age 18+. Fieldwork took place July 16–21, 2026. Margin of error: +/- 2.2 percentage points at a 95% confidence level. [3] Based on Experian analysis when Cashflow Score is compared with conventional credit scores, tailored to targeted risk tiers. Predictability based on KS.

October 14, 2026 by Julie Lee
The Three Onboarding Fraud Pain Points That Slow Growth (And How to Solve Them) 

Effective fraud prevention is critical to balancing security and customer experience during onboarding. Learn more!

October 12, 2026 by Charles Hunter

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