Grocery purchase data can accurately predict credit risk for individuals without traditional credit scores, potentially broadening the pool of qualified loan applicants. Photo via Unsplash

Millions of consumers who apply for a loan to buy a house or car or start a business can’t qualify — even if they’re likely to pay it back. That’s because many lack a key piece of financial information: a credit score.

The problem isn’t just isolated to emerging economies. Exclusion from the financial system is a major issue in the United States, too, where some 45 million adults may be denied access to loans because they don’t have a credit history and are “credit invisible.”

To improve access to loans and peoples’ economic mobility, lenders have started looking into alternative data sources to assess a loan applicant’s risk of defaulting. These include bank account transactions and on-time rental, utility and mobile phone payments.

A new article by Rice Business assistant professor of marketing Jung Youn Lee and colleagues from Notre Dame and Northwestern identifies an even more widespread data source that could broaden the pool of qualified applicants: grocery store receipts.

As metrics for predicting credit risk, the researchers found that the types of food, drinks and other products consumers buy, and how they buy them, are just as good as a traditional credit score.

“There could be privacy concerns when you think about it in practice,” Lee says, “so the consumer should really have the option and be empowered to do it.” One approach could be to let consumers opt in to a lender looking at their grocery data as a second chance at approval rather than automatically enrolling them and offering an opt-out.

To arrive at their findings, the researchers analyzed grocery transaction data from a multinational conglomerate headquartered in a Middle Eastern country that owns a credit card issuer and a large-scale supermarket chain. Many people in the country are unbanked. They merged the supermarket’s loyalty card data and issuer’s credit card spending and payment history numbers, resulting in data on 30,089 consumers from January 2017 to June 2019. About half had a credit score, 81% always paid their credit card bills on time, 12% missed payments periodically, and 7% defaulted.

The researchers first created a model to establish a connection between grocery purchasing behavior and credit risk. They found that people who bought healthy foods like fresh milk, yogurt and fruits and vegetables were more likely to pay their bills on time, while shoppers who purchased cigarettes, energy drinks and canned meat tended to miss payments. This held true for “observationally equivalent” individuals — those with similar income, occupation, employment status and number of dependents. In other words, when two people look demographically identical, the study still finds that they have different credit risks.

People’s grocery-buying behaviors play a factor in their likelihood to pay their bills on time, too. For example, cardholders who consistently paid their credit card bill on time were more likely to shop on the same day of the week, spend similar amounts across months and buy the same brands and product categories.

The researchers then built two credit-scoring predictive algorithms to simulate a lender’s decision of whether or not to approve a credit card applicant. One excludes grocery data inputs, and the other includes them (in addition to standard data). Incorporating grocery data into their decision-making process improved risk assessment of an applicant by a factor of 3.11% to 7.66%.

Furthermore, the lender in the simulation experienced a 1.46% profit increase when the researchers implemented a two-stage decision-making process — first, screening applicants using only standard data, then adding grocery data as an additional layer.

One caveat to these findings, Lee and her colleagues warn, is that the benefit of grocery data falls sharply as traditional credit scores or relationship-specific credit histories become available. This suggests the data could be most helpful for consumers new to credit.

Overall, however, this could be a win-win scenario for both consumers and lenders. “People excluded from the traditional credit system gain access to loans,” Lee says, “and lenders become more profitable by approving more creditworthy people.”

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This article originally ran on Rice Business Wisdom based on research by Rice University's Jung Youn Lee, Joonhyuk Yang (Notre Dame) and Eric Anderson (Northwestern). “Using Grocery Data for Credit Decisions.” Forthcoming in Management Science. 2024: https://doi.org/10.1287/mnsc.2022.02364.


Give credit where credit is due. The Woodlands falls in the "very good" category. Photo courtesy of Local Government Federal Credit Union

Houston suburbs charge ahead with some of the highest credit scores in Texas

fit for fico

Give the residents of The Woodlands some credit. They’re able to brag about achieving some of the highest credit scores in Texas.

A new study from personal finance website WalletHub shows the median credit score of a Woodlands resident is 757. Among the 2,572 U.S. cities covered in the study, The Woodlands nabs a 287th-place tie for cities with the highest median credit score.

FICO, the primary producer of credit scores in the U.S., characterizes 757 as a “very good” credit score. On the FICO scale, credit scores range from 300 to 850. A credit score anywhere from 740 to 799 is above the U.S. average “and demonstrates to lenders that the borrow is very dependable,” according to FICO.

WalletHub based the study on September 2021 data from TransUnion, one of the three major credit-reporting bureaus. In the study, The Villages, a retirement community in Florida, is the only city where the median credit score is above 800 — 806, to be exact.

Two other Houston-area suburbs — Montgomery and Friendswood — ranked among Texas cities for the highest credit scores, coming in with a median credit score of 738 and 732, respectively.

Here are the other cities in the top 15 statewide:

  • Colleyville (Dallas-Fort Worth), 777, 23rd nationally.
  • Flower Mound, 762, tied for 185th place nationally.
  • Coppell (Dallas-Fort Worth), 758, tied for 262nd place nationally.
  • The Woodlands (Houston), 757, tied for 287th nationally.
  • Keller (Dallas-Fort Worth), 756, tied for 300th nationally.
  • Allen (Dallas-Fort Worth), 750, tied for 428th nationally.
  • Georgetown (Austin), 749, tied for 446th nationally.
  • Frisco (Dallas-Fort Worth), 748, tied for 467th nationally.
  • Cedar Park (Austin), 743, tied for 568th nationally.
  • Plano (Dallas-Fort Worth), 740, tied for 629th nationally.
  • Montgomery (Houston), 738, tied for 681st nationally.
  • Friendswood (Houston), 732, tied for 784th nationally.
  • Rockwall (Dallas-Fort Worth), 732, tied for 784th nationally.

Among Texas’ biggest cities, Austin is the only one where the median credit score exceeds 700. In the Capital City, the median score is 713, tied for 1,208th nationally. San Antonio is next in line, at 664 (tied for 2,236th nationally), followed by Houston (662, tied for 2281st nationally), Dallas (661, tied for 2,299th nationally), and Fort Worth (615.5, tied for 2,545th nationally).

Bad news for Sugar Land, which is the only Texas city with a median credit score below 600. According to the study, the median score there is 571, putting it in 2,563rd place nationally. FICO identifies that as a “poor” credit score.

J. Keith Baker, a CPA and certified financial planner who teaches at Dallas College’s North Lake campus in Irving, tells WalletHub that the best way to improve or maintain your credit score is to pay your credit card balances in full every month.

“Some folks will close a credit card account thinking it will help them manage their spending and protect them from identity theft since they are not using an account,” Baker says. “While this may make sense for an individual’s financial situation, do not assume it will automatically improve your credit scores.”

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This article originally ran on CultureMap.

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Rice University MBA programs rank among top 5 in prestigious annual report

top of class

Rice University’s Jones Graduate School of Business MBA programs have been ranked among the top five in the country again in The Princeton Review’s 2025 Best Business Schools rankings.

The university's MBA program in finance earned a No. 3 ranking, climbing up two spots from its 2024 ranking. Finance MBA programs at the University of Virginia's Darden Graduate School of Business and New York University's Leonard N. Stern School of Business were the only ones to outrank Rice, claiming No. 2 and No. 1 spots, respectively.

Rice's online MBA program was ranked No. 5, compared to No. 4 last year. Indiana University's Bloomington Kelley School of Business' online program claimed the top spot.

“These rankings reflect the commitment of our faculty and staff, the drive and talent of our students and the strong support of our alumni and partners,” Peter Rodriguez, dean of Rice Business, said in a news release. “They are exceptional honors but also reminders — not just of our top-tier programs and world-class faculty and students but of our broader impact on the future of business education.”

Rice also ranked at No. 6 for “greatest resources for minority students."

The Princeton Review’s 2025 business school rankings are based on data from surveys of administrators at 244 business schools as well as surveys of 22,800 students enrolled in the schools’ MBA programs during the previous three academic years.

"The schools that made our lists for 2025 share four characteristics that inform our criteria for designating them as 'best': excellent academics, robust experiential learning components, outstanding career services, and positive feedback about them from enrolled students we surveyed," Rob Franek, The Princeton Review's editor-in-chief, said in a press release. "No b-school is best overall or best for all students, but to all students considering earning an MBA, we highly recommend these b-schools and salute them for their impressive programs."

Rice's finance program has ranked in the top 10 for eight consecutive years, and its online MBA has ranked in the top five for four years.

Rice and the University of Houston also claimed top marks on the Princeton Review's entrepreneurship rankings. Rice ranks as No. 1 on the Top 50 Entrepreneurship: Grad list, and the University of Houston ranked No. 1 on Top 50 Entrepreneurship: Ugrad. Read more here.

Houston named ‘star’ metro for artificial intelligence in new report

eyes on AI

A new report declares Houston one of the country’s 28 “star” hubs for artificial intelligence.

The Houston metro area appears at No. 16 in the Brookings Institution’s ranking of metros that are AI “stars.” The metro areas earned star status based on data from three AI buckets: talent, innovation and adoption. Only two places, the San Francisco Bay Area and Silicon Valley, made Brookings’ “superstar” list.

According to Brookings, the Houston area had 11,369 job postings in 2024 that sought candidates with AI skills, 210 AI startups (based on Crunchbase data from 2014 to 2024), and 113 venture capital deals for AI startups (based on PitchBook data from 2023 to 2024).

A number of developments are boosting Houston’s AI profile, such as:

Brookings also named Texas’s three other major metros as AI stars:

  • No. 11 Austin
  • No. 13 Dallas-Fort Worth
  • No. 40 San Antonio

Brookings said star metros like Houston “are bridging the gap” between the two superstar regions and the rest of the country. In 2025, the 28 star metros made up 46 percent of the country’s metro-area employment but 54 percent of AI job postings. Across the 28 metros, the number of AI job postings soared 139 percent between 2018 and 2025, according to Brookings.

Around the country, dozens of metros fell into three other categories on Brookings’ AI list: “emerging centers” (14 metros), “focused movers” (29 metros) and “nascent adopters” (79 metros).