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GlobPOP Global Gridded Population Dataset

GlobPOP is a continuous high-resolution global gridded population dataset covering the period from 1990 to 2020 with annual time steps. Developed by the State Key Laboratory of Remote Sensing Science at Beijing Normal University, this dataset provides population count and density information at a 30 arc-second (approximately 1 km at the equator) resolution. GlobPOP is derived from a data fusion framework based on cluster analysis and statistical learning approaches, which integrates five existing global gridded population datasets: GHS-POP, GRUMP, GPWv4, LandScan, and WorldPop. The fusion methodology enhances consistency for time-series analysis through spatial-temporal validation, making it particularly valuable for applications in sustainable development, epidemiology, urban planning, environmental management, risk assessment, and tracking progress toward the Sustainable Development Goals (SDGs).

globpop

Dataset Details

Characteristic Description
Name GlobPOP
Provider State Key Laboratory of Remote Sensing Science, Beijing Normal University
Resolution 30 arc-seconds (approximately 1 km at the equator)
Coverage Global (90°N to 90°S)
Temporal Range 1990-2020 (annual)
Available Formats Population Count and Population Density
Data Type GeoTIFF (I32/F32)
License Creative Commons Attribution 4.0 International (CC BY 4.0)

Notes

Info

  • GlobPOP offers high spatial and temporal consistency for time-series analysis of population dynamics
  • The dataset provides both population count (persons per grid cell) and density (persons per square kilometer)
  • The product was validated at both national (217 countries) and sub-national levels using census data
  • The dataset is particularly useful for analyzing long-term population changes and spatial patterns at global, national, and city levels

Citation

Liu, L., Cao, X., Li, S. & Jie, N. (2024). A 31-year (1990–2020) global gridded population dataset
generated by cluster analysis and statistical learning. Scientific Data, 11, 124.
https://doi.org/10.1038/s41597-024-02913-0

Dataset Citation

Liu, L., Cao, X., Li, S., & Jie, N. (2024). GlobPOP: A 33-year (1990-2022) global gridded population
dataset generated by cluster analysis and statistical learning (2.0) [Data set]. Zenodo.
https://doi.org/10.5281/zenodo.11179644

Earth Engine Snippet

var popDensityCollection = ee.ImageCollection("projects/sat-io/open-datasets/GLOBPOP_DENSITY");
var popCountCollection = ee.ImageCollection("projects/sat-io/open-datasets/GLOBPOP_COUNT");

Sample Script: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBPOP-COUNT-DENSITY

License

The dataset is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Keywords: Population, Demographics, Census, Global, Time-series, Gridded Population, Sustainable Development, Population Density

Produced by: State Key Laboratory of Remote Sensing Science, Beijing Normal University

Curated in GEE by: Samapriya Roy

Last updated on GEE: 2025-05-14

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