Guiding Gambling Policy and Problem Gambling Treatment Decisions Using ArcGIS StoryMaps
Session Title
Public Health: Monitoring & Data Innovation
Presentation Type
Paper Presentation
Start Date
27-5-2026 12:00 AM
Abstract
The expansion of online wagering has highlighted problem gambling as a growing public health concern. Developing evidence-based methods to identify specific subgroups of individuals disproportionately impacted by gambling is critical to guide public policy and treatment service initiatives. The goal of the current study is to use GIS mapping to identify geographic areas with residents most at risk for gambling problems in a northeastern state. We created a progressive five-map ArcGIS StoryMap, culminating in a comparative risk assessment. Specifically, maps display demographic and socioeconomic indicators associated with problem gambling risk (Map 1); the proportion of residents who engaged in online sports wagering (Map 2) and online casino gambling (i.e., iGaming)(Map 3); overall online gambling prevalence and the location of land-based gambling venues, with a 20-minute drive-time analysis (Map 4); and ZIP code-level risk scores, presented in relation to in-person supports and treatment services (Map 5). Demographic and socioeconomic data were sourced from the 2022 American Community Survey, and bettor-level gambling data were extracted from yearly reports to regulators in the state. Locations of counseling and support services were identified through national and state databases and independently verified. Risk scores were calculated as weighted composites based on the prevalence and strength of indicators related to gambling problems (i.e., point-biserial correlations).
Guiding Gambling Policy and Problem Gambling Treatment Decisions Using ArcGIS StoryMaps
The expansion of online wagering has highlighted problem gambling as a growing public health concern. Developing evidence-based methods to identify specific subgroups of individuals disproportionately impacted by gambling is critical to guide public policy and treatment service initiatives. The goal of the current study is to use GIS mapping to identify geographic areas with residents most at risk for gambling problems in a northeastern state. We created a progressive five-map ArcGIS StoryMap, culminating in a comparative risk assessment. Specifically, maps display demographic and socioeconomic indicators associated with problem gambling risk (Map 1); the proportion of residents who engaged in online sports wagering (Map 2) and online casino gambling (i.e., iGaming)(Map 3); overall online gambling prevalence and the location of land-based gambling venues, with a 20-minute drive-time analysis (Map 4); and ZIP code-level risk scores, presented in relation to in-person supports and treatment services (Map 5). Demographic and socioeconomic data were sourced from the 2022 American Community Survey, and bettor-level gambling data were extracted from yearly reports to regulators in the state. Locations of counseling and support services were identified through national and state databases and independently verified. Risk scores were calculated as weighted composites based on the prevalence and strength of indicators related to gambling problems (i.e., point-biserial correlations).