Non-Resident Population Data
See Beyond Local Residents with Advanced Visitor Modeling
The AGS Non-Resident Population (NRP) dataset estimates the number of overnight visitors across the U.S. by season, purpose, and lodging type.
Unlike traditional datasets focused only on where people live, NRP helps you understand where people go. Whether they’re staying at a resort, visiting family, or working short-term jobs, these non-residents shape demand in ways permanent populations can’t capture.
Built on 30+ demand drivers—from amusement parks and convention centers to oilfields and college towns—NRP offers a fine-grained, quarterly view of how and where people move.
What’s Included
- Average annual and quarterly totals for non-resident populations
- Detailed segmentation by business, leisure, and migrant worker categories
- Travel accommodation breakdowns: hotels, second homes, campgrounds, RVs, and friends/family
- Seasonal variation modeling based on 30+ demand factors
Built for Industry
Tourism & Hospitality
Plan attractions, accommodations, and marketing based on real seasonal visitor estimates.
Retail & Restaurant
Forecast high-traffic periods and adjust inventory, staffing, and hours in visitor-driven markets.
Public Safety
Assess emergency response needs and staffing during peak tourist seasons or events.
Insurance & Risk
Evaluate exposure in high-traffic, tourism-heavy areas where visitor counts greatly exceed resident numbers.
Healthcare & Public Services
Model demand for seasonal clinics or services based on transient population volumes.
Local Governments
Justify infrastructure, transit, or grant decisions by accounting for the total resident & non-resident population.
NRP Methodology
NRP is based on a distance-decay location-allocation model that accounts for over 30 demand drivers, including employment hubs, natural attractions, cultural sites, and more.
Each factor is weighted differently based on traveler type, and seasonal variation is modeled to reflect real-world tourism shifts.
Accommodation types are matched to demand using national tourism data, with geographic constraints ensuring the data reflects real supply limits. The result is a fine-grained, quarterly view of visitor volume at the block group level.
Documentation & Support
Every AGS dataset comes with transparent methodology and full variable documentation. Our team is available to help clients interpret data, customize delivery formats, or integrate datasets into proprietary systems.