WorldPop Global Project Population Data (R2025A): Estimated Residential Population per 100x100m Grid Square

WorldPop/GP/100m/R2025A/v1/pop
Dataset Availability
2015-01-01T00:00:00Z–2031-01-01T00:00:00Z
Dataset Producer
Earth Engine Snippet
ee.ImageCollection("WorldPop/GP/100m/R2025A/v1/pop")
Tags
demography population worldpop

Description

The WorldPop project aims to provide detailed and open-access population distribution datasets, built using transparent and peer-reviewed approaches, to facilitate the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions.

Full details on the methods and datasets used in constructing the data, along with open access publications, are provided on the WorldPop website. In brief, recent census-based population counts matched to their associated administrative units are disaggregated to ~100x100m grid cells through machine learning approaches that exploit the relationships between population densities and a range of geospatial covariate layers. The mapping approach is Random Forest-based dasymetric redistribution.

This dataset depicts estimated number of people residing in each grid cell for annual epochs from 2015 through 2030 (Release R2025A, v1). Individual country rasters are constrained to settlement areas and adjusted to match national population estimates.

Bands

Bands

Pixel size: 100 meters (all bands)

Name Min Max Pixel Size Description
population 0* 25000* 100 meters

Estimated number of people residing in each grid cell
* estimated min or max value

Image Properties

Image Properties

Name Type Description
country STRING

ISO 3166-1 alpha-3 country code, with optional _EAST / _WEST suffix for territories split by the antimeridian.
year DOUBLE

Year of the population estimate (2015-2030)

Terms of Use

Terms of Use

WorldPop datasets are licensed under the Creative Commons Attribution 4.0 International License. Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.

Citations

Citations:

  • Bondarenko M., Priyatikanto R., Tejedor-Garavito N., Zhang W., McKeen T., Cunningham A., Woods T., Hilton J., Cihan D., Nosatiuk B., Brinkhoff T., Tatem A., Sorichetta A. 2025. Constrained estimates of 2015-2030 total number of people per grid square at a resolution of 3 arc (approximately 100m at the equator) R2025A version v1. Global Demographic Data Project - Funded by The Bill and Melinda Gates Foundation (INV-045237). WorldPop - School of Geography and Environmental Science, University of Southampton. doi:10.5258/SOTON/WP00839

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('WorldPop/GP/100m/R2025A/v1/pop')
    .filter(ee.Filter.eq('year', 2025));

var visualization = {
  bands: ['population'],
  min: 0.0,
  max: 50.0,
  palette: ['24126c', '1fff4f', 'd4ff50']
};

Map.setCenter(113.643, 34.769, 7);

Map.addLayer(dataset, visualization, 'Population');
Open in Code Editor
The WorldPop project aims to provide detailed and open-access population distribution datasets, built using transparent and peer-reviewed approaches, to facilitate the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. Full details on the methods and datasets used in constructing the data, along with …
WorldPop/GP/100m/R2025A/v1/pop, demography,population,worldpop
2015-01-01T00:00:00Z/2031-01-01T00:00:00Z
-90 -180 90 180
Google Earth Engine