AGA Study Finds Gamblers Outpace Non-Gamblers on Financial Literacy Tests
Written by Parker Schmid · Sep 29, 2026

AGA Study Finds Gamblers Outpace Non-Gamblers on Financial Literacy Tests

The American Gaming Association commissioned a detailed examination that compared financial knowledge levels between individuals who participate in gambling activities and those who do not, and the results indicated higher average scores among the gambling group while the project also reviewed aspects of prediction markets. Researchers collected responses across multiple demographics to measure understanding of budgeting, credit management, investment principles, and risk assessment, then cross-referenced those answers against reported gambling behavior.
Key Findings on Literacy Scores
Data collected through the project showed that participants who engaged in gambling activities answered more questions correctly on standardized financial literacy assessments than their non-gambling counterparts, and the gap remained consistent even after researchers controlled for age, income brackets, and education levels. The study further broke down performance by specific topic areas such as compound interest calculations and debt-to-income ratios, where gamblers again posted stronger results on average.
Differences in Daily Financial Habits
Alongside the test scores, the research team documented variations in how each group approached routine money decisions; gamblers reported more frequent reviews of account statements and greater use of budgeting applications, whereas non-gamblers showed lower rates of these practices. The report noted that gamblers tended to set aside dedicated funds for recreational activities in advance, a habit that correlated with higher scores on questions about emergency savings planning.
Additional comparisons revealed that gamblers were more likely to maintain diversified accounts across checking, savings, and brokerage platforms, while the non-gambling cohort displayed narrower account usage patterns. These behavioral distinctions appeared across both urban and suburban respondent pools and held steady when segmented by employment status.
Examination of Prediction Markets
The same study extended its scope to prediction markets, where participants wager on event outcomes such as election results or economic indicators, and analysts observed that individuals already familiar with traditional gambling formats adapted quickly to the structure of these markets. Survey responses indicated that prior gambling experience correlated with faster comprehension of market mechanics including bid-ask spreads and probability pricing.

Researchers mapped how prediction market activity intersected with broader financial decision making, noting that users who placed wagers on event contracts also demonstrated stronger performance on questions about forward-looking economic indicators. The data suggested that exposure to these markets reinforced concepts such as expected value and uncertainty quantification, skills that transferred to other areas of personal finance.
Demographic Patterns Across Respondent Groups
Breakdowns by age revealed that younger gamblers, particularly those between 25 and 34, achieved the highest literacy scores within their cohort, while older non-gamblers posted comparatively lower averages. Income stratification showed the advantage for gamblers persisting at every earnings level, although the margin narrowed slightly among respondents earning above six figures.
Geographic distribution indicated similar trends in both states with expanded gaming options and those with more restrictive regulations, which suggests the observed differences stem less from local market access and more from individual engagement patterns. The research team compiled these figures during the months leading into September 2026, allowing the report to reflect recent shifts in online betting availability.
Methodology and Data Collection
Survey instruments were distributed through a combination of online panels and in-person intercepts at gaming venues, resulting in several thousand completed responses that underwent statistical weighting to match national census benchmarks. Analysts employed regression models to isolate the effect of gambling participation from confounding variables such as digital literacy or prior investment experience.
Validation checks included follow-up interviews with a subset of respondents to confirm self-reported habits, and the team cross-checked literacy answers against objective quiz modules rather than relying solely on subjective confidence ratings. The resulting dataset provided the basis for all comparative claims presented in the final report.
Conclusion
The American Gaming Association study supplies a snapshot of financial literacy differentials tied to gambling participation and extends that analysis into prediction market contexts, with the collected figures indicating measurable distinctions in both test performance and reported money management routines. Observers can review the complete dataset through industry channels as additional context becomes available.