Used by global brands across 120+ countries
The only platform combining accurate population data, rich market context, and export-ready outputs.
Annually updated global demographics plus future forecasts — plan territories and sites based on where people live now and where they’re moving.
Layer population with Google’s global POI dataset and our proprietary household income layers to see not just where people live, but how they spend and move.
Export-Ready Outputs
Instantly export postal codes, shapefiles, and population reports. Use them in FDDs, CRMs, or sales ops — no consultants required.
Custom franchise territory maps with demographics, competitor locations, allies and other key infrastructure. resolution demographic datasets, updated yearly, and tailored for strategic growth.
Define exclusive, fair territories with up-to-date population and income data. Export ZIP lists for FDDs, avoid overlap disputes, and grow with confidence.
Balance workloads, reduce travel, and protect accounts. Build ZIP- or radius-based sales territories, then push them directly into your CRM.
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Explore our latest articles, guides, and tips on territory mapping and market intelligence.
Jul 24, 2026
U.S. ZIP Codes Ranked by Ambient Population: Growth Leaders and Decliners (2016–2024)
This report ranks U.S. ZIP codes by ambient population using LandScan data covering 2016 to 2024. Ambient population measures where people actually concentrate throughout the day - across work, commuting, tourism, retail, and commercial activity - rather than simply where they sleep at night. The rankings reveal a dramatic divergence between fast-growing Sunbelt suburban corridors and declining urban cores, university zones, and legacy commercial districts.
Jul 24, 2026
How to Choose the Right Boundary Type for Your Franchise Territory
The boundary type you choose for a franchise territory determines how disputes get resolved, how equitably franchisees are treated, and whether your FDD holds up under scrutiny for the life of the agreement. Zip codes, administrative boundaries, radius buffers, and drive-time isochrones each serve different purposes. The right choice depends on your concept, your market, and what you need the boundary to do.
Jun 26, 2026
The Cornfield Effect
The cornfield effect is a systematic error in demographic analysis that occurs when census data attributes population to uninhabited areas (e.g., farmland, parks, industrial zones) within a census boundary. This distortion leads to overestimates of customer density and misguided location decisions with notable, negative impacts on franchise territory design and retail site selection. Constrained population models, such as WorldPop Global 2, eliminate the cornfield effect by assigning population only to areas where human settlements have been confirmed to exist.
