Reference · built on requestCommons signalPlaces & geographic reference

WorldPop

Gridded population counts, residential density, and demographics at 100m and 1km resolutions from the WorldPop project.

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About

WorldPop is an open spatial demographic research program based at the University of Southampton. It produces high-resolution, peer-reviewed gridded population datasets for every country in the world. By combining national census data with machine learning disaggregation models and high-resolution geospatial covariates, WorldPop generates 100-meter and 1-kilometer gridded population estimates, age-sex demographic breakdowns, and urban expansion time series.

Through Fibric, an operator references gridded population counts and local settlement density, proposing service territory staffing models or retail trade area analyses for operational planning.

This is a reference listing. It documents what Fibric would read from WorldPop and what it could propose, based on the publisher's published interfaces. Fibric builds it under a managed deployment when you request it; selecting it here installs nothing.

Inputs

  • Gridded population counts per pixel at 100-meter and 1-kilometer spatial resolutions
  • Population density rasters reflecting estimated residents per square kilometer
  • Age and sex demographic structures categorized across five-year age cohort rasters
  • RESTful Spatial Data Infrastructure catalog metadata via GET /sdi/introapi/
  • Direct GeoTIFF raster file downloads covering individual country territories and global mosaics

Proposed actions

Read-only. This feed informs operators; it changes nothing.

Proposed actions are target capabilities. Every action runs propose-first and needs a validated deployment and the appropriate permissions.

What you can build

  • Analyze residential density for service territory sizing

    Sample 100-meter population grids surrounding service branch hubs, proposing technician territory boundaries scaled to local residential population density.

    With Territory Balance, Site Benchmark

  • Assess catchment demographics around retail locations

    Extract population totals within driving distance radius bands, proposing trade area demand forecasts for commercial retail operations.

    With Demand Outlook, Forecast Variance

  • Evaluate disaster response personnel needs

    During severe weather watches, overlay hurricane forecast cones with gridded population layers to estimate exposed population counts for emergency crews.

    With Severe Weather Notice

Requirements

  • Raster geospatial software or GIS libraries (such as GDAL or rasterio) to sample GeoTIFF rasters
  • Selection of target resolution (100m or 1km) and estimation methodology (constrained or unconstrained)
  • Attribution to WorldPop and the University of Southampton under Creative Commons licensing
Authentication
None. WorldPop datasets are published as open access data through the WorldPop REST catalog and public download servers without API keys.

Limits

  • Population counts represent model-based statistical disaggregations rather than direct physical headcounts
  • Global raster tiles require significant bandwidth and local memory for spatial analysis
  • Census base vintages and local covariate availability vary by country

Access and pricing

Reference listing. Public feed access is separate from Fibric integration. If you request this feed, your quote covers the build, usage, and support.

Request WorldPop ↗

Questions and answers

What is the difference between constrained and unconstrained WorldPop datasets?
Constrained datasets allocate population estimates strictly within mapped building footprints and settlement masks. Unconstrained datasets model population continuously across all land areas using machine learning.
What spatial resolutions does WorldPop provide?
WorldPop provides datasets at approximately 100 meters (3 arc-seconds) and 1 kilometer (30 arc-seconds) grid cell resolutions in standard geographic coordinate systems.
What license applies to WorldPop data?
WorldPop data is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing open use and commercial redistribution with proper citation.
Ask about WorldPop

Ask about the capabilities and requirements in this listing.

For project-specific requirements, contact Fibric.

This Commons signal listing is developed, published, and supported by Fibric. It reads public data published by WorldPop, University of Southampton (www.worldpop.org). Upstream agencies and projects are the property of their respective owners, who are not affiliated with Fibric and do not sponsor or endorse this listing. Trademark policy