External Publications
2019.23
Date: 3/7/2019

A High-resolution Gridded Dataset to Assess Electrification in Sub-saharan Africa


Authors:
Giacomo Falchetta (Energy Program - International Institute for Applied Systems Analysis, Fondazione Eni Enrico Mattei); Shonali Pachauri (Energy Program - International Institute for Applied Systems Analysis); Simon Parkinson (Energy Program - International Institute for Applied Systems Analysis, Institute for Integrated Energy Systems - University of Victoria); Edward Byers (Energy Program - International Institute for Applied Systems Analysis)
Type: Journal
Published in: Scientific Data, volume 6, Article number: 110 (2019)
Keywords: Africa; Sub-saharan Africa; Electrification; Access to Energy

Abstract

Spatially explicit data on electricity access and use are essential for effective policy-making and infrastructure planning in low-income, data-scarce regions. We present and validate a 1-km resolution electricity access dataset covering sub-Saharan Africa built on gridded nighttime light, population, and land cover data. Using light radiance probability distributions, we define electricity consumption tiers for urban and rural areas and estimate the by-tier split of consumers living in electrified areas. The approach provides new insight into the spatial distribution and temporal evolution of electricity access, and a measure of its quality beyond binary access. We find our estimates to be broadly consistent with recently published province- and national-level statistics. Moreover, we demonstrate consistency between the estimated electricity access quality indicators and survey-based consumption levels defined in accordance with the World Bank Multi-Tier Framework. The dataset is readily reproduced and updated using an open-access scientific computing framework. The data and approach can be applied for improving the assessment of least-cost electrification options, and examining links between electricity access and other sustainable development objectives.

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A high-resolution gridded dataset to assess electrification in sub-Saharan Africa

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