ArticleScientific data2019
A high-resolution gridded dataset to assess electrification in sub-Saharan Africa.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Detecting gaps between urban expansion and lighting infrastructure growth using daytime and nighttime satellite imagery.International journal of applied earth observation and geoinformation : ITC journal · 2026Article
- Assessment of a gridded population sample frame for a household survey of refugee populations in Uganda, 2021.International journal of health geographics · 2025Article
- LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022.Scientific data · 2025Article
- Carbon pricing and system reliability impacts on pathways to universal electricity access in Africa.Nature communications · 2024Article
- Estimating global economic well-being with unlit settlements.Nature communications · 2022Article
- Article
- Population cluster data to assess the urban-rural split and electrification in Sub-Saharan Africa.Scientific data · 2021Article
- Mapping of affordability levels for photovoltaic-based electricity generation in the solar belt of sub-Saharan Africa, East Asia and South Asia.Scientific reports · 2021Article
- Predictive mapping of the global power system using open data.Scientific data · 2020Article
- A high-resolution gridded dataset to assess electrification in sub-Saharan Africa.Scientific data · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
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