UK Gambling Commission Examines How Activity Types Shape Risk Patterns in 2024 Survey Data

The UK Gambling Commission has published its analysis of Gambling Survey for Great Britain Year 2 data collected throughout 2024, focusing on the ways particular gambling formats connect to adverse consequences while also accounting for differences across population groups. Researchers reviewed participation in casino games, fruit and slots machines plus online instant-win games to determine how much these activities account for elevated risk levels observed among certain demographics. The findings indicate that activity choices fully account for higher risk among men yet explain only part of the elevated patterns seen in younger adults, ethnic minorities and lower-income households.

Data Collection and Analytical Approach

Survey responses came from a large sample of adults across Great Britain who reported their gambling behaviour over the previous year, allowing statisticians to map specific product engagement against standardised measures of harm. Analysts applied regression models that isolated the contribution of each activity type while controlling for frequency and spend, which revealed clear differences in explanatory power across demographic lines. Men showed risk elevations that disappeared once researchers accounted for their higher participation in the three highlighted formats, whereas residual risk remained for the other groups even after the same controls.

Activity Types and Their Contribution to Risk

Casino games, fruit and slots and online instant-win products emerged as the strongest predictors of adverse outcomes within the dataset, each carrying distinct associations with problem gambling indicators. Participation rates in these formats varied sharply by gender, with men reporting substantially higher engagement that aligned directly with their overall risk profile. When the models held activity type constant, the male-female gap closed completely, indicating that product choice rather than gender itself drove the observed difference.

Demographic Patterns Beyond Activity Type

Younger adults continued to display elevated risk scores after activity adjustments, suggesting additional factors such as session length, impulsivity or social context may play independent roles. Ethnic minority respondents and those in lower-income households showed similar residual patterns, with activity type explaining only a portion of their higher harm indicators. The report therefore points to the need for further investigation into accessibility, marketing exposure and financial vulnerability as potential contributors that operate alongside product selection.

Key Statistical Relationships

According to the Understanding the adverse consequences of gambling report, the three activity categories together accounted for the entire gender disparity yet covered only 40 to 60 percent of the variance linked to age, ethnicity and income. Fruit and slots participation showed the largest single effect size among the formats studied, followed closely by online instant-win games. Casino games contributed additional explanatory power primarily among higher-frequency players. These patterns held after researchers applied weights that matched the sample to national population estimates.

Broader Context Within the GSGB Framework

The Year 2 wave built upon the methodology established in 2023, incorporating refined questions on product-specific engagement and updated harm scales that capture financial, emotional and relationship impacts. Data collection ran continuously across the calendar year to reduce seasonal bias, resulting in more than 10,000 completed interviews. Commission statisticians cross-checked self-reported participation against industry-supplied transaction data where available, confirming broad alignment between survey estimates and operator records for the selected formats.

Next Steps Identified in the Analysis

Commission staff noted that future waves will expand the range of activities examined and introduce longitudinal tracking to assess whether changes in product choice precede or follow shifts in risk status. The current findings already supply regulators and treatment providers with granular breakdowns that can inform targeted interventions for the demographic groups still showing unexplained risk elevation. Publication of the full dataset tables alongside the main report allows independent researchers to test alternative modelling approaches.

Conclusion

The 2024 GSGB analysis demonstrates that while certain gambling formats explain risk differences between men and women, additional mechanisms remain at work for younger adults, ethnic minorities and lower-income households. These results supply a clearer map of where activity-focused policies may deliver full impact and where complementary measures addressing wider social and economic factors will still be required. Further waves of the survey will test whether the same patterns persist as participation habits evolve.