The resource was developed by CENER (The National Renewable Energy Center, Spain) for ECREEE. High resolution data of 1km x 1km developed using Numerical Weather Prediction (NWP) model from hourly meteorological weather files of over 10 years. Dataset is provided in raster format (.geotiff) at a resolution of 1 km. It ranges from 1200 to 2800 KWh/m2/year. Around 87% of the total surface of the ECOWAS region has long term annual DNI values greater than 1800 KWh/m2.

Location of health facilities that could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

The Africa land cover map is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. From the Africa land cover map, which is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. The GLC2000 maps are based on daily observations made from 1st November 1999 to 31st December 2000 by the VEGETATION sensor on the SPOT 4 satellite. Legend- definition of the Gray index value: -11: post-flooding or irrigated croplands -14: rainfed croplands -20: mosaic cropland (50-70%) / Vegetation (grassland, shrubland, forest) (20-50%) -30: mosaic vegetation (grassland, shrubland, forest) (50-70%) / cropland (20-50%) -40: closed to open (>15%) broadleaved evergreen and/or semi-deciduous forest (>5m) -50: closed (>40%) broadleaved deciduous forest (>5m) -60: open (15-40%) broadleaved deciduous forest (>5m) -70: closed (>40%) needleleaved evergreen forest (5m) -90: open (15-40%) needleleaved deciduous or evergreen forest (5m) -100: closed to open (>15%) mixed broadleaved and needleleaved forest (>5m) -110: mosaic forest / shrubland (50-70%) / grassland (20-50%) -120: mosaic grassland (50-70%) / forest/shrubland (20-50%) -130: closed to open (>15%) shrubland (<5m) -140: closed to open (>15%) grassland -150: sparse (>15%) vegetation (woody vegetation, shrubs, grassland) -160: closed (>40) broadleaved forest regularly flooded- fresh water -170: closed (>40%) broadleaved semi-deciduous and/or evergreen forest regularly flooded- saline water -180: closed to open (>15%) vegetation (grassland, shrubland, woody vegetation) on regularly flooded or waterlogged soil- fresh, brackish or saline water -190: artificial surfaces and associated areas (urban areas >50%) -200: bare areas -210: water bodies -220: permanent snow and ice

Existing and planned distribution grid network (11KV-33KV) in the ECOWAS region. The dataset is developed by the ECOWREX team by using the following sources of information: - BENIN: Ministry of Energy (2016) - BURKINA FASO: West African Power Pool (WAPP) GIS database January 2017, SONABEL - CÔTE D'IVOIRE: CI-ENERGIES - GAMBIA: WAPP database (2015) - GHANA: Energy Commission (2015) - GUINEA: Ministry of Energy, Energy Information System Unit (SIE, 2016) - MALI: EnergyInfo platform - https://energydata.info/ (World Bank, 2017) - NIGER: EnergyInfo platform - https://energydata.info/ (World Bank, dataset 2015) - NIGERIA: EnergyInfo platform - https://energydata.info/ (World Bank, dataset 2016), Nigeria Rural Electrification Program (http://rrep-nigeria.integration.org/ ), Facebook model (https://energydata.info/dataset/medium-voltage-distribution-predictive) - SENEGAL: EnergyInfo platform - https://energydata.info/ (World Bank, dataset 2007) - SIERRA LEONE: EnergyInfo platfom - https://energydata.info/ (World Bank, 2017)

Density of identified off-grid households in ROGEP countries by 2030, per country administrative boundary level 1. The households could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

Location of education facilities that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

Location of settlements that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

Location of settlements in West Africa in identified irrigable off-grid areas in 2018, that could still be in off-grid areas in 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

Location of health facilities that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).

Density of identified off-grid villages in ROGEP countries by 2030, per country administrative boundary level 1 or 2. The different types of electricity demand in the villages (households, public institutions, SMEs, etc.) could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).