The most important thing to know about the headline number is that it cannot be compared with the previous one, and the FDIC says so in its own footnote. Footnote 11 of the 2023 report reads: "Underbanked and fully banked rates in 2023 are not directly comparable to those in 2021 because the question on tax refund anticipation loans was broadened to better match credit products available on the market. … Excluding the use of tax refund anticipation loans, the underbanked rate would have been 13.6 percent in 2021 and 12.7 percent in 2023. The decline between 2021 and 2023 was statistically significant."
So there are two defensible sentences about the trend and one indefensible one. It is correct to say that on the FDIC's own consistent basis the underbanked rate fell from 13.6 percent in 2021 to 12.7 percent in 2023, and that the fall was statistically significant. It is correct to say that 14.2 percent of households met the 2023 definition. It is not correct to place 14.2 percent beside the 2021 published figure and describe the difference as a change in behavior, because part of it is a change in the questionnaire.
What actually changed, since a broadened question is a vague explanation. The report prints both wordings. In 2019 and 2021 the survey asked, "did you or anyone in your household take out a tax refund anticipation loan? This is a way to receive your tax refund faster than the IRS would provide it." In 2023 it asked instead, "did you or anyone in your household pay a fee to get your tax refund faster than the IRS would provide it? This includes products like refund anticipation loans and refund advances." The narrower question caught 0.8 percent of households in 2019 and 1.0 percent in 2021. The broader one caught 2.5 percent of all households in 2023, and 2.4 percent of banked households. Since only a banked household can be underbanked, it is that second figure that flows into the composite, and it is more than a percentage point above what the old question was finding. The FDIC also publishes the counterfactual for the rest of the list: excluding tax refund products, the share of households using at least one of the other four credit alternatives was 4.2 percent in 2019, 3.6 percent in 2021 and 3.8 percent in 2023.
What is deliberately outside the composite, and why that matters more each year. The 2023 survey added questions on Buy Now, Pay Later and on crypto and did not add either to the underbanked definition. Prepaid card use is measured too and also sits outside it. Nonbank online payment services are measured and outside it as well, and they are by a wide margin the largest of the nonbank categories the survey measures: 49.7 percent of all households were using them in 2023, up from 46.4 percent in 2021, several times the share using any of the eight counted services. That is the composite's real weakness as a measure of the thing it is named for. If a household pays its rent through an app rather than with a nonbank money order, its behavior has barely changed and its classification has, because only one of those two is on the list.
The FDIC does measure that substitution, and its own figures make the point sharply. Among underbanked households using online payment services, 44.2 percent used them for at least one of paying bills, receiving income, or saving and keeping money safe, against 31.4 percent of fully banked households and 71.5 percent of unbanked households. Among underbanked households with prepaid cards the equivalent figure was 58.8 percent, against 39.7 percent of fully banked households. So the survey documents nonbank substitution running well beyond the eight services it counts.
What being underbanked correlates with, stated as correlation. In 2023, 5.8 percent of all households used a rent-to-own service or a payday, pawn shop, auto title, or tax refund anticipation loan, and use of those products ran higher among households with no mainstream credit, at 6.8 percent, than among households with mainstream credit. Most of the eight services have their own page here, each with its own cost structure, and reading those is more useful than reading the composite: the reason a household buys a nonbank money order is usually not the reason it takes a pawn shop loan.
How to use the classification well. It is a screening measure, built to tell a regulator where account ownership is failing to deliver the benefits of account ownership. It is not a diagnosis of a household and it is not a ranking. A household that used one nonbank service once is counted, and a household paying substantial fees to an app that is not on the list is not. Anyone quoting the figure should say which year's definition produced it, because the definition has changed inside the series and will change again.