Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa

Published: 21 June 2021| Version 6 | DOI: 10.17632/kn4636mtvg.6
Giacomo Falchetta, Shonali Pachauri, Simon Parkinson,


This repository hosts two ncdf4 files and a txt file containg the output data of the analyis. - One file reports the number of people without access in each grid cell between 2014 and 2020 - The text file allows to access tge 30 meter resolution version of the dataset on Google Earth Engine (based on the High-Resolution Settelement Layer - The third file reports the estimated consumption tier in each electrified cell in 2018 ___________________________________________ Changelog: (v5) - noaccess file updated (years 2019 and 2020 added) - file to access 30 meter resolution version on Google Earth Engine based on the High-Resolution Settelement Layer added ("noaccess_SSA_2014_2020_30m_GEE.txt") (v4) - License changed to CC BY 4.0. (v3): - Fixed a bug which was producing a lower-resolution output .nc file for the consumption tiers file. - Changelog added.


Steps to reproduce

In order to replicate the analysis, the following steps are required: - Create a Google account, if you do not have one, and make a request for Earth Engine access via - Make sure your Google Drive has enough free cloud storage space. - Either obtain access to the LandScan population data by applying for an account (, or use the WorldPop data, which is accessible from the script in this repository without further steps. - Download the JavaScipt and R scripts and the supporitng files hosted at - Run the JavaScript file in Google Earth Engine - Download the supporting files along with the R script - Run the R script, which reproduce the analysis, plots contained in the paper, and the output ncdf4 files.


Fondazione Eni Enrico Mattei Sede di Milano, International Institute for Applied Systems Analysis


Electricity, Development Studies, Spatial Databases, Subsaharan Africa, Rural Access to Useful Energy