Abstract
Household electricity access data in Africa are scarce, particularly at the subnational level. We followed a model-based Geostatistics approach to produce maps of electricity access between 2000 and 2013 at a 5 km resolution. We collated data from 69 nationally representative household surveys conducted in Africa and incorporated nighttime lights imagery as well as land use and land cover data to produce maps of electricity access between 2000 and 2013. The information produced here can be an aid for understanding of how electricity access has changed in the region during this 14 year period. The resolution and the continental scale makes it possible to combine these data with other sources in applications in the socio-economic field, both at a local or regional level.
Highlights
Household-level access to electricity is strongly associated with socioeconomic status and an important indicator of economic development [1]
For each year in the analysis (2000-2013) we estimated the probability of electricity access in a 5 km grid across mainland Africa and Madagascar
The precision represents the proportion of locations predicted as with electricity that were correct, and the sensitivity represents the proportion of locations observed as with electricity that were correct
Summary
Household-level access to electricity is strongly associated with socioeconomic status and an important indicator of economic development [1]. Countries with strong National Statistical Systems (ensembles of statistical organizations that produce information on behalf of the government) are able to produce regular and timely information on electricity access, as well as other development indicators, such as health. The information production of such systems has been standardized and integrated between countries [5, 6]. These efforts are important when dealing with matters that occur beyond the borders of a single country, like global health, natural hazards or international commerce [7,8,9,10]. Often data are only available at country level, masking important within country heterogeneity
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