Metadata last updated on Jan 24, 2023

Overview:

Global results from gridfinder model, produced by ESMAP based on joint work with Facebook and others. Uses night-time lights, road networks and existing grid network data to predict the location of transmission and distribution lines globally. Validated in several countries with ~70% accuracy at 1 km.

More information:

Blog with brief overview: https://blogs.worldbank.org/energy/using-night-lights-map-electrical-gri...
Full research paper: https://www.nature.com/articles/s41597-019-0347-4
Visualization: https://gridfinder.org/

The following data are included:

  • grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column
  • targets.tif: Binary raster showing locations predicted to be connected to distribution grid.
  • lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell.
grid.gpkg
  • html
METADATA
lv.tif
  • tif
METADATA
targets.tif
  • tif
METADATA
Grids (Feature Service)
  • vector api
METADATA
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Data Access and Licensing
Classification: Public
This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.
License: Creative Commons Attribution 4.0
This dataset is licensed under Creative Commons Attribution 4.0
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