
A technical overview of how population totals are computed and disaggregated in PopEx.

Overview
Population Explorer aggregates global gridded datasets to compute total population inside any drawn or selected boundary. Behind the simple “total” figure are algorithms that reconcile global raster sources (LandScan, WorldPop) with administrative age/sex breakdowns (ASB) to produce meaningful, comparable results.
Algorithms for Totals
Input data: LandScan (ambient, ~1 km), WorldPop (residential, ~100 m), normalized to census totals.
Aggregation: Polygon overlay sums grid cells, partial overlaps weighted by geodesic area.
Consistency checks: Totals checked against control surfaces; deviations recalibrated.
Folder-level totals: Aggregated recursively from polygon-level results.
Age/Sex Breakdown (ASB) Algorithm
Step 1: Census ratios imported by admin unit.
Step 2: Ratios blended across raster cells.
Step 3: Cross-boundary polygons weighted by overlap.
Step 4: Output in 5-year age bands × sex categories.
LandScan vs WorldPop
LandScan: Ambient totals; ASB applied post-allocation at ~1 km.
WorldPop: Residential totals; finer ~100 m disaggregation.
Key difference: LandScan smooths more; WorldPop captures intra-urban variation.
Related Resources
Need More Help?
If you run into issues, please contact us.
Explore expert articles, eCommerce guides, and the latest updates to help your business grow smarter and sell better with Unistore.

Mar 20, 2026
How to Choose Retail Store Locations (Step-by-Step Guide)
A practical, step-by-step guide to retail site selection. Learn how to evaluate locations, analyze trade areas, and use data to choose high-performing store locations.

Mar 5, 2026
Introducing WorldPop in Population Explorer: 100m Global Population Data
Population Explorer now includes WorldPop, a high-resolution global population dataset designed to model population distribution more precisely than traditional demographic grids.

Dec 25, 2025
Common Mistakes in Franchise Territory Mapping (and How to Avoid Them)
Seven mapping pitfalls routinely create unhappy franchisees and messy FDDs. Here’s how to fix each with a repeatable playbook.
