World Bank Group
L o a d i n g
The World Bank Group has set two goals for the world to achieve by 2030: (i) End extreme poverty by decreasing the percentage of people living on less than $1.90 a day to no more than 3%, and (ii) promote shared prosperity by fostering the income growth of the bottom 40% for every country. The World Bank is a vital source of financial and technical assistance to developing countries around the world.
Available DatasetsShowing 919 of 919 results
- This dataset is a global inventory of known solar stations for which there is access to corresponding solar radiation measurement data, which aims to help improve developing country's knowledge and awareness of solar resources. Users are encouraged to contribute to the development of this dataset. If you have access to solar radiation data, please contact us for uploading the data on the platform and referencing it in the Global Solar Atlas: http://globalsolaratlas.info/1Licence not specified7 months ago
- This raster file represents a land cover classification in Santa Ana based off satellite imagery from February 22, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- This paper studies the impact of transport infrastructure projects of the Belt and Road Initiative on shipment times and trade costs. Based on a new data on completed and planned Belt and Road transport projects, Geographic Information System analysis is used to estimate shipment times before and after the Belt and Road Initiative. Two sets of data are computed to address different research questions: a global database based on an analysis of 1,000 cities in 191 countries and 47 sectors and a regional database that focuses on more granular information (1,818 cities) for Belt and Road economies only.1Licence not specified7 months ago
- Tracking SDG7: The Energy Progress Report provides the international community with a global dashboard to register progress on the targets of Sustainable Development Goal 7 (SDG7): ensuring universal energy access, doubling progress on energy efficiency, substantially increasing the share of renewable energy, and enhance international cooperation to facilitate access to clean and renewable energy by 2030. It assesses the progress made by each country on these targets and provides a snapshot of how far we are from achieving SDG7. The 2020 release is the sixth edition of this report, which was formerly known as the Global Tracking Framework (GTF).1Licence not specified7 months ago
- This paper presents a database of indicators of innovative activity around the world since the early 1960s. The data include measures of innovation outcomes as well as variables related to innovation effort. The main indicator of innovation outputs is patents. The main variables related to innovation inputs are investment in research and development (R&D) and technical personnel (engineers, scientists) working in R&D activities. The sources of these data are publicly available (OECD, UNESCO, etc.), yet there have been few attempts at double checking the consistency of these data and digitizing observations dating back to the 1960s.1Licence not specified7 months ago
- Health facilities in Kenya were acquired from a local consultant through the KEMRI Wellcome Trust Research Programme. These facilities were used to assess hospital preparedness based on available infrastructure data (GSM coverage, electrification, access (drive time)) and demographics (population and vulnerability to CoVID). Additionally summary statistics were generated at the ward level.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- These raster files represent land cover classifications in Trinidad, Bolivia at two different time periods: March 7, 2007 and June 15, 2015. In order to better understand the changing landscape of Trinidad, imagery covering the entire city was acquired at two different time periods (2007 and 2015). These high resolution (50cm) scenes were then transformed into land cover maps using a methodology developed by Graesser et al (2012). Originally created to accurately detect shanties in major cities throughout the world, this method has been proven effective in a diverse set of cities (Kandahar, Kabul, Caracas, and La Paz). Furthermore, it has been shown to be effective at capturing land cover change in 5 primary cities in Africa by Antos et al 2016. Since its creation, it has been adopted by the US Census Bureau, US Department of Energy’s Oakridge Laboratory and The George Washington University. This semi-automated classification approach, examines the texture and structural composition of various neighborhoods, and then groups land with similar patterns into a single class. For the city of Trinidad, the images were divided into 9 distinct classes: Regular residential, Sparse residential, Flooded residential (only detected in 2005), commercial/industrial, roads, bare soil/dry grass, sand, vegetation, and water. Raster is coded by number, defined below: 1. Sparse Residential 2. Regular Residential, 3. Commercial/Industrial 4. Bare Soil/Dry Grass 5. Vegetation 6. Water 7. Sand 8. Road 9. Flooded residential (only detected in 2007)1Licence not specified7 months ago
- Crop residue information aggregated from the Biomass Atlas project field survey raw data. * Min minimum crop residue yield; based on minimum crop yield recorded in the field survey, and the minimum Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Max maximum crop residue yield; based on maximum crop yield recorded in the field survey, and the maximum Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Mean mean crop residue yield (theoretical potential); based on mean crop yield recorded in the field survey, and the mean Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Std standard deviation of the mean crop residue yield in the survey data N number of observations for the crop in the survey data AR availability of the crop residue based on the current residue use recorded in the field survey (technical potential) ARS standard deviation of the availability of the crop residue based on the current residue use AW availability of the crop residue based on the current residue use recorded in the field survey and farmers' willingness to participate in a feedstock supply chain (technical potential) AWS standard deviation of the availability of the crop residue based on the current residue use recorded in the field survey and farmers' willingness to participate in a feedstock supply chain where denotes an abbreviation for a crop residue, as listed below. WheStrMin Wheat straw CotStaMin Cotton stalk RicStrMin Rice straw RicHusMin Rice husk MaiStaMin Maize stalk MaiCobMin Maize cob MaiHusMin Maize husk SugTraMin Sugarcane trash SugBagMin Bagasse Feedstock summary by country and by district, including sampled district confidence intervals for yearly feedstock amounts, t/yr You can find more information about the project here: https://www.esmap.org/node/3058 Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass Feedstock Crop Yield, 2016, https://energydata.info/dataset/pakistan-biomass-feedstock-cropyield"1Licence not specified7 months ago
- This raster file represents a land cover classification in San Isidro based off satellite imagery from December 23, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- Developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA), this data resource contains air temperature at 2m above ground level in °C covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: TEMP - GISdata (GeoTIFF) Data format: GEOTIFF File size : 121.03 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specified7 months ago
- Land Use / Land Cover (LULC) information product over Phnom Penh (Cambodia) contains spatial explicit information about the different land covers / uses for current (2017) and past (2003) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.1Licence not specified7 months ago
- Data for power plants in Gambia, The with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specified7 months ago
- RISE is a set of indicators to help compare national policy and regulatory frameworks for sustainable energy. It assesses countries’ policy and regulatory support for each of the three pillars of sustainable energy—access to modern energy, energy efficiency, and renewable energy.1Licence not specified7 months ago
- This dataset also consists of data on other non-grid connected solar installations/applications such as standalone solar solutions, lanterns, solar pumps, and solar water heaters. The capacities of the solar pumps and the water heaters in terms of their flow rates and volumes respectively are reported. This dataset was last updated in June 2014. NB: The number of solar lanterns distributed by the Ministry of Energy And Petroleum(MOEP) is not given but a total capacity of those lantern distributed was 42kW. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Saudi Arabia. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (SEC).1Licence not specified7 months ago
- This layer shows CO2 emitting power plants worldwide. It reveals the plants location, ownership, power production, and CO2 emissions. Http://carma.org/1Licence not specified7 months ago
- The global reservoir and dam database, version 1 (revision 01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The dams were geospatially referenced and assigned to polygons depicting reservoir outlines at high spatial resolution. Dams have multiple attributes, such as name of the dam and impounded river, primary use, nearest city, height, area and volume of reservoir, and year of construction (or commissioning). While the main focus was to include all dams associated with reservoirs that have a storage capacity of more than 0.1 cubic kilometers, many smaller dams and reservoirs were added where data were available. The data were compiled by lehner et al. (2011) and are distributed by the global water system project (gwsp) and by the columbia university center for international earth science information network (ciesin). For details please refer to the technical documentation which is provided with the data. Http://sedac.ciesin.columbia.edu/data/set/grand-v1-dams-rev011Licence not specified7 months ago
- The World Bank and the International Finance Corporation, collectively The World Bank Group, have provided this Global Solar Atlas in addition to a series of global, regional and country GIS data layers and poster maps, to support the scale-up of solar power in our client countries. This work is funded by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank and supported by 13 official bilateral donors. It is part of a global ESMAP initiative on Renewable Energy Resource Mapping that includes biomass, small hydro, solar and wind.1Licence not specified7 months ago
- The role of developing countries is very important in dealing with global climate change because even the full elimination of developed country emissions would not avoid global warming. While the industrialized countries are urging big emitting developing countries (e.g., China, India) to enter into mandatory targets to reduce their GHG emissions, they are arguing against any quantified commitments in the near future. This issue is at the heart of the ongoing negotiations. One approach that developing countries are currently exploring is the implementation of GHG mitigation activities that do not impede their expected economic growth (i.e., pursue a strategy of low carbon economic growth) or implementation of so called win-win options for GHG mitigation. The WBG has launched studies in the six big emitting client countries (e.g., China, India, Mexico, Brazil, South Africa and Indonesia) to identify options for low carbon growth. While these studies are at different levels of development, none of these studies are expected to answer the following questions: (i) what level of GHG mitigation can these and other developing countries achieve without slowing down their expected economic growth? and how much would this mitigation contribute in meeting the ultimate objective of the UNFCCC? (ii) Even if the low carbon growth scenarios do not harm expected economic growth, how fair are they from a social perspective? Do these scenarios reduce income inequality and poverty? How would these scenarios impact low income households? (iii) If the win-win or low carbon growth scenarios do not result in significant contributions in meeting the ultimate objective of the UNFCCC, what would be economic impacts of more stringent measures to reduce GHG emissions? How would such measures impact the economic growth, income distribution and poverty? (iv) How would these results change if climate change adaptation is also taken into consideration? Answering these questions is enormously important to client countries in defining their short and long-term strategies to address the global climate change.1Licence not specified7 months ago
- Data collected and prepared for a project of the World Bank Group - Privatization of the Power Distribution System Operator (OSSH) Partial Risk Guarantee in Albania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P112242/privatization-power-distribution-s...1Licence not specified7 months ago
- The product over Abidjan (Ivory Coast) contains spatial explicit information about transport network and its typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.1Licence not specified7 months ago
- World Bank-approved administrative boundaries (Admin 0) (and polygons) including international boundaries, disputed areas, coastlines, lakes and a guide to help with their usage. Boundaries are available as an ESRI GeoDatabase, in GeoJSON, a shapefile and API endpoints for interactive maps. If Bank staff use this data to create a map (print, web, or presentations for external audience e.g. external web sites, on mission), staff must receive clearance for the map by submitting the created map to the World Bank Cartography Unit (please refer to contact email below).1Licence not specified7 months ago
- World Bank-approved boundaries (and polygons) including international boundaries, disputed areas, coastlines, lakes and a guide to help with their usage. Corresponding admin 1 and 2 level boundaries are only available internally to World Bank staff. Boundaries are available as an ESRI GeoDatabase, in GeoJSON, a shapefile and API endpoints for interactive maps. If Bank staff use this data to create a map (print, web, or presentations for external audience e.g. external web sites, on mission), staff must receive clearance for the map by submitting the created map to the World Bank Cartography Unit (please refer to contact email below).1Licence not specified7 months ago
- STATA file showing that during a crisis the export growth of a sector with a relatively high reliance on external finance, such as electric machinery, is reduced on average by 4 percentage points compared to a sector like footwear whose dependence is relatively low. We also find that exports of industries that tend to have more tangible assets grow relatively faster during a banking crisis confirming the hypothesis about the importance of collateral in a context when access to finance becomes scarcer. Finally, using a proxy for trade credit dependence (Fisman and Love,2003) we show that exports of industries relatively more reliant on inter-firm finance are not affected by a banking crisis more than others. A potential explanation for this finding is that if importers do not face a crisis themselves they might be willing to accept less favorable payment conditions and extend trade credit to their suppliers in order to allow them to overcome their temporary credit constraints.1Licence not specified7 months ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Bahrain. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EWA).1Licence not specified7 months ago
- CURB is a climate action planning tool developed by the World Bank in partnership with C40 Cities Climate Leadership Group, Global Covenant of Mayors, and AECOM Consulting that helps cities prioritize low-carbon investments based on cost, feasibility, and impact on energy use and greenhouse gas emissions. CURB allows cities to plan across six sectors in an integrated way: private buildings, municipal buildings and public lighting, electricity generation, solid waste, transportation, and water and wastewater. CURB is being by cities around the world to compare the cost, energy, and climate impact of different technological and policy solutions to select the most effective investments possible, develop and refine climate action plans, set informed targets, and acquire project financing.1Licence not specified7 months ago
- The GIS HydroAtlas of Madagascar is the final output from the small hydro resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Madagascar” [Project ID: P145350]. You can find more information about the project here: https://www.esmap.org/re_mapping_madagascar Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Madagascar - Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/madagscar-small-hydro-gis-atlas-2017"1Licence not specified7 months ago
- Land Use / Land Cover (LULC) information product over Karachi (Pakistan) contains spatial explicit information about the different land covers / uses for current (2017) and past (2005) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Qatar. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (KAHRAMAA).1Licence not specified7 months ago
- Levelized cost of electricity database developed by Govinda Timilsina, Sr. Economist, Development Research Group This database is the result of the following study: Timilsina, Govinda R. (2020). “Demystifying the Costs of Electricity Generation Technologies”. World Bank Policy Research Working Paper, WPS 9303. World Bank Washington, DC. This database presents the cost of 11 electricity generation technologies when input variables take alternative values. The technologies are: solar PV (utility-scale), concentrated solar power, onshore wind, offshore wind, gas combined cycle, gas turbine, hydro, geothermal, coal, nuclear and biomass. The input variables taking alternative values are discount rate, capital costs, fixed O&M costs, capacity factor, economic life, heat rate, fuel price. There are more than four thousand LCOE presented in this database. This database could help find LCOE for any combination of input variables. Any error in the database is of authors; it should not be attributed to the World Bank Group. Contact: Govinda Timilsina, e-mail: gtimilsina@worldbank.org1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- This research, designed by the World Bank, and supported by the Department for International Development (DFID), aims to highlight the unprecedented transformation of the urban systems in the ECA region in the last decades, and to look at this shifts from the demographic, economic, and spatial prospectives. Cities in ECA database comprises data from 5,549 cities in 15 countries of the Eastern Europe and Central Asia region, as defined by the World Bank Group, and from the United Kingdom and Germany. Database information for each city is in three dimensions: demographic, spatial, and economic. The starting point to construct the Cities in ECA database was to obtain from each of the countries the list of official cities and these cities' population data. Population data collected for cities falls on or around three years: 1989, 1999, and 2010 (or the latest year available). The official list of "cities" was geo-referenced and overlaid with globally-available spatial data to produce city-level indicators capturing spatial characteristics (e.g., urban footprint) and proxies for economic activity. City-level spatial characteristics, including urban footprints (or extents) for the years 1996, 2000, and 2010 and their temporal evolution, were obtained from the Global Nighttime Lights (NTL) dataset. City-level proxies for economic activity were also estimated based on the NTL dataset. Nighttime Lights (NLS) data is produced by the Defense Meteorological Satellite Program (DMSP) - Optical Line Scanner (OLS) database and maintained by the National Oceanic and Atmospheric Administration (NOAA).1Licence not specified7 months ago
- This dataset includes rivers, towns, lakes, basins and demographic and climate indicators.1Licence not specified7 months ago
- The database contains four new indicators related to trade facilitation covering 112 countries over the 2004-2007. The indicators are scaled on a range of 0 (lowest performer) to 1 (top performer) and are obtained using factor analysis using 20 indicators of different sources: Doing Business, World Economic Forum, World Development Indicators and Transparency International. They are grouped along two dimensions: Hard infrastructure: Physical infrastructure measures the level of development and quality of ports, airports, roads, and rail infrastructure. Information and communications technology (ICT) is interpreted as the extent to which an economy uses information and communications technology to improve efficiency, and productivity as well as to reduce transaction costs. It contains indicators on the availability, use, absorption, and government prioritization of ICT. Soft Infrastructure: Border and transport efficiency aims at quantifying the level of efficiency of customs and domestic transport that is reflected in the time, cost, and number of documents necessary for export and import procedures. Business and regulatory environment measures the level of development of regulations and transparency. It is built on indicators of irregular payments, favoritism, government transparency, and measures to combat corruption.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Morocco. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (ONE).1Licence not specified7 months ago
- This shapefile contains the major and largest basins of the world.1Licence not specified7 months ago
- Trends Above Ground Biomass Production SAWAP from 2009-2017 from FAO WaPOR1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Oman. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (OETC).1Licence not specified7 months ago
- Adaptation to climate change includes addressing sea level rise and increased storm surges in many coastal areas. Mangroves can substantially reduce the vulnerability of the adjacent coastal land from inundation and erosion. However, climate change poses a large threat to mangroves. This paper quantifies the coastal protection provided by mangroves for 42 developing countries in the current climate, and a future climate change scenario with a one-meter sea level rise and 10 percent intensification of storms. The benefits of the coastal protection provided by mangroves are measured in terms of population and gross domestic product at a reduced risk from inundation; the loss of benefits under climate change is measured as the increased population and gross domestic product at risk. The findings demonstrate that although sea level rise and increased storm intensity would increase storm surge areas and the amounts of built resources at risk, the greatest impact is the expected loss of mangroves. Under current climate and mangrove coverage, 3.5 million people and roughly $400 million in gross domestic product of are at risk. In the future climate change scenario, the vulnerable population and gross domestic product at risk would increase by 103 and 233 percent, respectively. The greatest risk is in East Asia, especially in Indonesia, the Philippines, and Myanmar.1Licence not specified7 months ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specified7 months ago
- This shapefile contains the major rivers of the world.1Licence not specified7 months ago
- This raster file represents a land cover classification in David based off satellite imagery from May 3, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- The Tool for Rapid Assessment of City Energy (TRACE) is a decision-support tool designed to help cities quickly identify under-performing sectors, evaluate improvement and cost-saving potential, and prioritize sectors and actions for energy efficiency (EE) intervention. It covers six municipal sectors: passenger transport, municipal buildings, water and waste water, public lighting, solid waste, and power and heat. More information at: https://esmap.org/TRACE This dataset includes survey data from 30 cities across the world.1Licence not specified7 months ago
- Global multihazard mortality risks and distribution, v1 (01/01/2000) displays multihazard mortality loss estimates. The purpose is to identify areas of the world at multihazard mortality risk and to gain insight into the nature of this risk posed. See more information at http://dx.doi.org/10.7927/h41j97nm. Datset summary: global multihazard mortality risks and distribution is a 2.5 minute grid identifying and characterizing the nature of multihazard risk at the global scale. For this study, multihazard considers the hazards posed by cyclones, droughts, earthquakes, floods, landslides and volcanoes. The specific hazards are grouped into the following hazard categories: drought (drought), seismic (earthquakes and volcanoes), and hydro (cyclones, floods, and landslides). Each grid cell is assessed for each hazard category; and is considered at high risk or not at high risk. Treated as a binary value, the at-risk values of the hazards categories function as a 3-digit index of multihazard. For each of the hazard category combinations, aggregate analyses determine the total population, area, and length of major transportation features, as well as, the value of gross domestic product (GDP) and agricultural gdp. This data set is the result of collaboration among the columbia university center for hazards and risk research (chrr), international bank for reconstruction and development/the world bank, and columbia university center for international earth science information network (ciesin). Recommended citation: center for hazards and risk research - chrr - columbia university, center for international earth science information network - ciesin - columbia university, and international bank for reconstruction and development - the world bank. 01/01/2005. Global multihazard mortality risks and distribution. Palisades, ny: nasa socioeconomic data and applications center (sedac). Http://dx.doi.org/10.7927/h41j97nm. Accessed day month year.1Licence not specified7 months ago
- This shapefile contains all the country basins within the World Bank regions.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Kuwait. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and Kuwait Ministry of Electricity & Water.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Algeria. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (SGTE).1Licence not specified7 months ago
- This dataset represents potential grid expansion projects identified through a least-cost geospatial analysis undertaken over the period 2017-2018. Each project (defined by the unique “gis_projec” or “project na”) includes electricity lines, poles, and building structures. Therefore, the dataset includes a combination of several feature types. The shapefile is accompanied by the “Potential Grid expansion project cost.csv”. This csv file includes total number of customers, total cost of grid expansion (in US$), the cost per consumer, etc. for each unique project (again, defined by “gis_projec” or “project na”).1Licence not specified7 months ago
- Airport locations were extracted and mapped from a repository of air traffic flow, and international airports were extracted. Airports were attributed with total seats from the most recent year reported; most recent year for any airport is 2019. Licensing rectrictions means we cannot define the year of reported flows, but the data can be used and disseminated as needed.1Licence not specified7 months ago
- This raster file represents a land cover classification in Limon based off satellite imagery from January 31, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- Spatial distribution of the Next Generation Networks (NGN) - white villages in which there is less than 30Mbps fixed broadband connection (regardless if a mobile 3G+ network is present or not).1Licence not specified7 months ago
- COMTRADE data were acquired through 2017 and aggregated at the national level to identify international energy flows. Multiple aggregation methods have been applied, including extracting the most recent year of data.1Licence not specified7 months ago
- The World Bank, ESMAP and KTH Division of Energy Systems Analysis have developed National High Resolution Dynamic Least Cost Options Plan for Universal Access to Electricity in Nigeria, Tanzania and Zambia. The web-based open source application presented here allows the users to select scenarios based on electricity consumption targeted (Tiers of access) and spatially related fuel costs towards identifying the least cost electrification technology for every settlement at a 1 by 1 km resolution.1Licence not specified7 months ago
- Data for medium and high voltage transmission lines in Gambia, The. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specified7 months ago
- This shapefile shows the amount of area equipped for irrigation.1Licence not specified7 months ago
- The Global Roads Inventory Project is a harmonized global dataset of aproximately 60 geospatial datasets on road infrastructure. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets. The road density raster layers (road length per unit of area) are produced at a resolution of 5 arcminutes (approximately 8×8km at the equator). The road vector dataset was overlaid with a global 5 arcminute 'fishnet' vector dataset with unique cell identifiers and assigned all road vector elements within a given cell the corresponding cell ID. The length (in meters) of each individual road vector element was calculated in ArcGIS, accounting for the distance distortion in the WGS84 coordinate system, and summed the lengths per cell ID for each of the individual road types. The resulting table was joined to the fishnet vector dataset, which was then converted to 5 arcminute raster datasets using the summed road length per road type. Finally, the 5 arcminute road length rasters were divided by a matching 5 arcminute resolution area (km2 per cell) raster to derive road densities (in meters per km2). This dataset is split into 5 road types: highways/ primary/ secondary/ tertiary/ local roads1Licence not specified7 months ago
- L'enquête MTF est une enquête globale qui établit la situation de référence en matière d'accès à l'énergie et à la cuisson propre en dépassant l'approche binaire pour envisager l'accès comme un spectre de niveaux de services dont bénéficient les ménages. Des ressources additionnelles sont disponibles avec la version anglaise du rapport (données, questionnaires, stratégie d'échantillonnage).1Licence not specified7 months ago
- Yearly Above Ground Biomass Production SAWAP from 2009-2017 from FAO WaPOR1Licence not specified7 months ago
- The GIS database has been developed by under the Small Hydropower Mapping and Improved Geospatial Electrification Planning in Indonesia Project [Project ID: P145273]. The scope of the project was to facilitate and improve the planning and investment process for small hydro development both grid and isolated systems through: building up a central database on smal hydro at national scale and validating the mapping of small hydro in NTT, Maluku, Maluku Utara and Sulawesi improved electrification planning by integrating small hydro potential for the provinces of NTT, Maluku, Maluku Utara and Sulawesi into the planning process. Please refer to the country project page for additional outputs and reports: http://esmap.org/re_mapping_indonesia The GIS database contains the following datasets: SHP(promising sites) Admin Divisions Topomas_grid Rivers, Geology Forest_areas Roads RainfallGauges RunoffGauges ElectricSystem, each accompanied by a metadata file. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Indonesia - Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/indonesia-small-hydro-gis-database-2017"1Licence not specified7 months ago
- 7 months ago
- Report that contains energy efficiency and Non-revenue-Water target data in Shenyang, Anshan, Fushun, Fuxin and Gaizhou water companies in Liaoning Province, China.1Licence not specified7 months ago
- This layer presents detectable thermal activity from MODIS satellites for the last 24 hours. MODIS Global Fires is a product of The University of Maryland's Fire Information for Resource Management System (FIRMS). FIRMS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. MODIS stands for MODerate Resolution Imaging Spectroradiometer. The MODIS instrument is on board NASA s Earth Observing System (EOS) Terra (EOS AM) and Aqua (EOS PM) satellites. The orbit of the Terra satellite goes from north to south across the equator in the morning and Aqua passes south to north over the equator in the afternoon resulting in global coverage every 1 to 2 days. The EOS satellites have a ±55 degree scanning pattern and orbit at 705 km with a 2,330 km swath width. It takes approximately 2 - 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for FIRMS to update the website. Occasionally, hardware errors mean that it takes longer the 2-4 hours to process the data. For information on the system status of MODIS Rapid Response, click here. We gather this data from the EOSDIS download site. These shapefiles from NASA are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service. For performance reasons these layers do not draw when zoomed out beyond 1:20000000. Attribute Information: Latitude and Longitude: The center point location of the 1km (approx.) pixel flagged as containing one or more fires/hotspots (fire size is not 1km, but variable). See What does a hotspot/fire detection mean on the ground? Brightness: The brightness temperature, measured (in Kelvin) using the MODIS channels 21/22 and channel 31. Scan and Track: The actual spatial resolution of the scanned pixel. Although the algorithm works at 1km resolution, the MODIS pixels get bigger toward the edge of the scan. See What does scan and track mean? Date: Acquisition date of the hotspot/active fire pixel.Time: Time of the overpass of the satellite (in UTC). Satellite: Whether the detection was picked up by the Terra or Aqua satellite. Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel. Version: Version refers to the processing collection and source of data. The number before the decimal refers to the collection(e.g. MODIS Collection 5). The number after the decimal indicates the source of Level 1B data; data processed in near-real time byMODIS Rapid Response will have the source code "CollectionNumber.0" . Data sourced from MODAPS (with a 2 month lag) and processed by FIRMS using the standard MOD14/MYD14 Thermal Anomalies algorithm will have a source code "CollectionNumber.x". For example, data with the version listed as 5.0 is collection 5, processed by MRR, data with the version listed as 5.1 is collection 5 data processed by FIRMS using Level 1B data from MODAPS. See What is the difference between data sourced from MODIS Rapid Response and MODAPS Collection 5? Bright.T31: Channel 31 brightness temperature (in Kelvins) of the hotspot/active fire pixel. FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (01/01/2005))1Licence not specified7 months ago
- It is one of several outputs from the small hydro resource mapping component of the activity “Renewable Energy Resource Mapping and Geospatial Planning – Vietnam” [Project ID: P145513]. This output is the result of the digitization of existing small and large hydropower in Vietnam. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Vietnam - Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/vietnam-small-hydro-mapping-2017"1Licence not specified7 months ago
- The GIS database has been developed under the project "Renewable Energy Mapping: Small Hydro Tanzania". This study is part of a technical assistance project, ESMAP funded, being implemented by Africa Energy Practice of the World Bank in Tanzania which aims at supporting resource mapping and geospatial planning for small hydro. Please refer to the country project page for additional outputs and reports: http://esmap.org/re_mapping_TNZ The GIS database contains the following datasets: Administrative Boundaries Hydrology Protected Areas Satellite Imagery Land Cover Geology Topography Population Infrastructure: Power/ Transport each accompanied by a metadata file Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Tanzania - Small Hydro GIS Atlas, 2018, https://energydata.info/dataset/tanzania-small-hydro-gis-database-2018"1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of the MENA region. Interconnection lines with countries outside of the region included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utilities.1Licence not specified7 months ago
- This raster file represents land cover classification in San Miguel based off of satellite imagery from November 30, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.1Licence not specified7 months ago
- Water is not potable if its salinity exceeds 1 part per thousand (ppt), and water cannot be used for dry season paddy irrigation if its salinity exceeds 2 ppt. Recent field measurements conducted in Basanti, Gosaba, Hingalganj, Kultali, Namkhana, Pathar Pratima and Sagar Block, found that tube-well water salinity exceeds 1 ppt in 17 of 50 hamlets in Gosaba, Hingalgunj and Patharpratima blocks of the Sundarban Reclaimed (populated) Area in India. Measured salinity of water samples collected from Bidya, Matla, Hooghly, and Raimangal Rivers was in the range of 13-27ppt. This dataset was prepared by Sreejit Roy, Saptarshi Chakraborty, Tapas Kumar Sutradhar and Santadas Ghosh1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- This shapefile contains polylines that represent the road network in Ivory Coast.1Licence not specified7 months ago
- This raster file represents a land cover classification in Chinandega based off satellite imagery from November 25, 2013. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- The dataset includes daily precipitation and temperature (mean, minimum, and maximum) that have been downscaled to 30 arcseconds (approximately 1 km) for the Himalaya, Karakoram, and Hindu Kush mountains. The input dataset is ERA Interim. The downscaling method applies linearized physically-based relationships derived from the input ERA Interim output. These data are currently preliminary because the study is ongoing. To access this data, please contact Thomas Mosier (tmosier@worldbank.org).1Licence not specified7 months ago
- General Transit Feed Specification (GTFS) data for Bogota TransMilenio bus rapid transit (BRT) and Sistema de Transporte Urbano de Bogota (SITP) transit services.1Licence not specified7 months ago
- The overall impacts on the Brazilian economy of reducing CO2 emissions from energy use and industrial processes can be assessed using a recursive dynamic general equilibrium model and a hypothetical carbon tax. The study projects that in 2040 under a business-as-usual scenario, CO2 emissions from energy use and industrial processes would be almost three times as high as in 2010 and would account for more than half of total national CO2 emissions. Current policy aims to reduce deforestation by 70 percent by 2017 and emissions intensity of the overall economy by 36-39 percent by 2020. If policy is implemented as planned and continued to 2040, CO2 emissions from energy use and industrial processes would not have to be cut until 2035 as reductions of emissions through controlling deforestation would be enough to meet emission targets. The study also finds evidence that supports the double dividend hypothesis: using revenue from a hypothetical carbon tax to finance a cut in labor income tax significantly lowers the gross domestic product impacts of the carbon tax. Using carbon tax revenue to subsidize wind power can effectively increase the output of wind power in the country, although the impact of the tax on gross domestic product would be somewhat increased.1Licence not specified7 months ago
- Electricity lines obtained from Gridfinder, vector lines.1Licence not specified7 months ago
- Recurrent cyclonic storms in the Bay of Bengal inflict massive losses on the coastal regions of Bangladesh and India. Information on occurrences and severities of cyclones is necessary for understanding household and community responses to cyclone risks. The authors constructed a georeferenced panel database that can be used to obtain such information for Bangladesh, West Bengal, and Odisha. The database was constructed from the following sources including: the Bangladesh Meteorological Department (BMD), India Meteorological Department (IMD) and the IBTrACS database maintained by the Global Data Center for Meteorology, operated by the US National Oceanic and Atmospheric Administration.1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- Land Use / Land Cover (LULC) information product over Abidjan (Ivory Coast) contains spatial explicit information on different land use and land cover occurring in the Larger Urban Area and Core City Area of the City of Abidjan for past (2005) and current (2018) dates. The Larger Urban Area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban Area was Ikonos (2005) and Sentinel-2 (2019). The Core City Area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core City Area was the Very High Resolution (VHR) data of Ikonos (2005) and WorldView-2 (2018/2019)..1Licence not specified7 months ago
- This dataset presents the technical potential for offshore wind development at the country level, split into potential for fixed and floating foundations. The files are grouped per WB regions and delivered in .SHP, .KMZ (CRS:4326) and .EXCEL format. We recommend non-GIS users to explore the EXCEL files that summarize the technical potential per country; furthermore, users can explore the KML files interactively in Google Earth/ Google Maps application. Please read the METADATA file for more information on the methodology used for the spatial analysis. This analysis was undertaken as part of the World Bank Group’s Offshore Wind Development Program which is led by ESMAP in partnership with IFC. The program is supporting the inclusion of offshore wind into the energy sector policies and strategies of WBG client countries and the delivering the technical work needed to build a pipeline of bankable projects. Maps showing the technical resource potential for 56 countries and regions are provided here; The World Bank and ESMAP do not guarantee the accuracy of this data and accept no responsibility whatsoever for any consequences of their use. The maritime boundaries do not imply on the part of the World Bank any judgement on the legal status of any territory or the endorsement or acceptance of such boundaries.1Licence not specified7 months ago
- The vector data set is based on the FAO-UNESCO soil map of the world. The digitized soil map of the world, at 1:5.000.000 scale, is in the geographic projection (latitude - longitude) intersected with a template containing water related features (coastlines, lakes, glaciers and double-lined rivers). The digital soil map of the world (except for the continent of Africa) was intersected with the country boundaries map from the world data bank ii (with country boundaries updated to January 1994 at 1:3 000 000 scale), obtained from the US government. For Africa, the country boundaries are derived from the FAO country boundaries on the original FAO/UNESCO soil map of the world. Country boundaries in both cases were checked and adjusted in certain places on the basis of FAO and UN conventions.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- This data set presents annual data on public sector deficits, the monetary sector, and the financial sector for a large and varying sample of member countries of the OECD and developing countries. It includes an in-depth examination of eight countries - Argentina, Chile, Colombia, Ivory Coast, Ghana, Morocco, Pakistan, and Zimbabwe. These cases are analyzed within a comprehensive theoretical framework elaborated for the study and in conjunction with cross-country data from a larger set. It includes the following variables and periods: Consolidated Public Sector Surplus or Deficit, 1970-90 Seignorage, 1965-89 Inflation Rates, 1965-90 Real Interest Rates, 1965-89 Taxes from Financial Repression in Ten Countries, 1980-891Licence not specified7 months ago
- Interconnection of the Spanish electricity transmission network with Morocco. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (ONE, Morocco).1Licence not specified7 months ago
- This raster file represents a land cover classification in San Pedro Sula based off satellite imagery from March 10, 2013. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- Trends Above Ground Biomass Production IAP from 2009-2017 from FAO WaPOR1Licence not specified7 months ago
- 7 months ago
- This data set is temporary for testing purposes only. Not finalized yet.1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Syria. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specified7 months ago
- Interconnection of the Turkish electricity transmission network with Iraq and Syria. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specified7 months ago
- Productivity biomass production - Above ground biomass production trend Sahel Region (Africa) at 250m resolution 2010-2016 (eLEAF - EO4SD)1Licence not specified7 months ago
- Global multihazard proportional economic loss risk deciles, v1 (01/01/2000) displays multihazard economic loss as proportions of gross domestic product (gdp). The purpose is to identify areas of the world that are at greater risk of multihazard proportional economic loss. See more information at http://dx.doi.org/10.7927/h4ws8r5b. Dataset summary: global multihazard proportional economic loss risks is a 2.5 minute grid of a multihazard-based economic loss risk as a proportion of the economic productivity of the analytical unit, the grid cell. Representation of multihazard risk is not based on a multihazard index but rather on combinations of hazard risk categories, drought, seismic, and hydro. The drought category includes drought only. The seismic category consists of earthquake and volcano hazards. Cyclones, floods, and landslides are included in the hydro category. For each of the six hazards considered, a binary risk surface is constructed utilizing the three most-at-risk deciles of each hazard's global proportional economic loss risks data set (deciles 8-10). Each of the category risk surfaces are constructed by adding all the relevant hazard high-risk surfaces. These categorical risk surfaces are reclassified into binary high-risk surfaces. The combination of the category risk values forms a three digit identifier for determining those locations that are at higher-risk from multihazards. This data set is the result of collaboration among the columbia university center for hazards and risk research (CHRR), international bank for reconstruction and development/the world bank, and columbia university center for international earth science information network (ciesin). Recommended citation: center for hazards and risk research - chrr - columbia university, center for international earth science information network - ciesin - columbia university, and international bank for reconstruction and development - the world bank. 01/01/2005. Global multihazard proportional economic loss risk deciles. Palisades, ny: nasa socioeconomic data and applications center (sedac). Http://dx.doi.org/10.7927/h4ws8r5b. Accessed day month year.1Licence not specified7 months ago
- As concerns in developing countries grow regarding energy security, climate change and pollution, renewable energy is increasingly seen as part of the solution. To catalyze renewable development, these countries often seek to leverage private sector capital and expertise. This website collects data on private participation in renewable energy in developing countries. It is part of the PPI Database and applies the same research methdology. The renewable energy section provides researchers with detailed, renewable-specific information on over 900 projects that were implemented between 1993 and 2012. The PPI Database is a flagship World Bank knowledge product widely used in research and analyses of infrastructure development. The purpose is to inform stakeholders on key trends regarding private in the renewable energy sector. Starting in 2012, the renewable energy section also covers captive facilities as well projects in the pipeline. Some of the key features of the data include: Project Development Stage — i) Financial Closure: projects that have reached financial closure since 1993. ii) Pipeline: projects up to two years before expected commissioning since 2012. Project level data — Key financial and contractual details, sources of funding, commissioning year, debt:equity ratio, main sources of revenue, project sponsors and project status for individual projects. Overview — The website presents brief snapshots of 2012 data by country, region or technology, including descriptions of the main investment trends, top projects and sponsors as well as renewable energy policy support. Customized Data — Advanced search functions to identify projects based on 17 variables, including technology, country income level as well as sponsor details, and ability to export the results in spreadsheet format. Renewable Energy Policy Support — Easy access to the main indicators of the renewable energy enabling environment as well as relevant country policies such as feed-in-tariffs. Public-Private-Partnerships (PPP) — Key information on the public and private aspects of PPP projects. The database relies on public sources which in most cases provide a good picture of contracts. However, in some cases they may not be accurate or contain all the required information. In such cases, the database reports the project data which seems to be the most accurate. When unable to obtain more information, projects are included with the limited information available. Some projects (particularly those involving local and small scale operators) tend to be omitted because they are usually not reported by the sources on which the PPI Database relies.1Licence not specified7 months ago
- The Human Capital Index (HCI) database provides data at the country level for each of the components of the Human Capital Index as well as for the overall index, disaggregated by gender. The index measures the amount of human capital that a child born today can expect to attain by age 18, given the risks of poor health and poor education that prevail in the country where she lives. It is designed to highlight how improvements in current health and education outcomes shape the productivity of the next generation of workers, assuming that children born today experience over the next 18 years the educational opportunities and health risks that children in this age range currently face.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Jordan. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (NEPCO).1Licence not specified7 months ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options - Synoptic analysis of low-cost electrification solutions in Congo The geospatial planning exercise examined the least cost options for grid extension, off-grid supply and distributed energy solutions in Congo based on three scenarios.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- Developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA), this data resource contains optimum tilt to maximize yearly yield in (°) covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: OPTA - LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 2.08 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specified7 months ago
- Readiness for Investment in Sustainable Energy (RISE) is a suite of indicators that assesses the legal and regulatory environment for investment in sustainable energy. This dataset contains scores for every single indicator of RISE for each country.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- Dataset contains precipitation and temperatures (max, min and mean) for 32 countries at the national level and subnational at the first administrative level.1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- Malaria poses a risk to approximately 3.3 billion people or approximately half of the world's population. Most malaria cases occur in Sub-Saharan Africa. Asia, Latin America, and to a lesser extent the Middle East and parts of Europe are also affected. According to the Global Malaria Report published by the World Health Organization (WHO), malaria was present in 106 countries and territories in 2010; and there were 216 million estimated cases of malaria and nearly 0.7 million deaths - mostly among children living in Africa. In this research, we have estimated current population exposed to malaria - by country. In our computation, we have made the geographical distinction of areas with high, medium, low prevalence ("endemicity") of malaria in each country based on the Global malaria atlas compiled by the Malaria Atlas Project (MAP) of the Oxford University. The data are based on 24,492 parasite rate surveys (Plasmodiumfalciparum. 24,178; Plasmodium vivax. 8,866) from an aggregated sample of 4,373,066 slides prepared from blood samples taken in 85 countries. The MAP study employs a new cartographic technique for deriving global clinical burden estimates of Plasmodium falciparum malaria for 2007. These estimates are then compared with those derived under existing surveillance-based approaches to arrive at the final data used in the malaria mapping (Hay et al., 2009). (http://www.map.ox.ac.uk/media/maps/pdf/mean/World_mean.pdf, accessed 2012) Malaria maps generally separate the malaria endemicity into three broad categories by Plasmodium falciparum parasite rate (PfPR), a commonly reported index of malaria transmission intensity: PfPR < 5% as low endemicity, PfPR 5%-40% as medium/intermediate endemicity, and PfPR > 40% as high endemicity. In our research, global mapping techniques were used to estimate population exposed to malaria. The malaria endemicity maps were overlaid on global population maps from Landscan 20051 (Dobson, 2000) and country-level population exposure in the three endemicity areas were computed. Due to the spatial reference of the data and the number of observations in the combined data, the use of Geographic Information Systems functions from ESRI ArcGIS (v 9.3.1) were used and automated in the python (v 2.5) language.1Licence not specified7 months ago
- 7 months ago
- Replication data for Henderson, J. Vernon, Adam Storeygard, and Uwe Deichmann. "Has climate change driven urbanization in Africa?." Journal of Development Economics 124 (2017): 60-82. Data include climate variables, conflict events, industry by district, urban/rural population, and distance to coast. This paper documents a substantial impact of climate variation on urbanization in sub-Saharan Africa. In a panel of over 350 subnational regions, we find that drier conditions increase urbanization in places most likely to have an urban industrial base. Total city income in such places also increases. When receiving cities have a traded good sector that is not wholly dependent upon local agriculture, migration to cities provides an “escape” from negative agricultural moisture shocks. However, in most places (75% of our sample) without an industrial base, there is no escape into alternative export-based employment. Drying causes reduced urban and rural incomes, with little overall impact on the urban population share. Finally, the paper shows that climate variation also induces employment changes within the rural sector itself. Drier conditions induce a shift out of farm activities, especially for women, into non-farm activities, and especially out of the measured work force. Overall, these findings imply a strong link between climate and urbanization in Africa. This dataset is part of the Global Research Program on Spatial Development of Cities funded by the Multi-Donor Trust Fund on Sustainable Urbanization of the World Bank and supported by the U.K. Department for International Development.1Licence not specified7 months ago
- The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then perform preliminary calculations. The Global Wind Atlas facilitates online queries and provides freely downloadable datasets based on the latest input data and modeling methodologies. The current version of the Global Wind Atlas (GWA 3.0) is the product of a partnership between the Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC).1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- The Global Landslide hazard map is a gridded dataset of landslide hazard produced at the global scale. Landslides happen around the world and have devastating impacts on people and the built environment. To better understand the spatial and temporal distribution of landslide hazard worldwide, the World Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR) commissioned Arup to undertake a landslide hazard assessment at a global scale. Using a global landslide inventory, landslide susceptibility information provided by NASA, and an innovative machine learning model, our geohazard and risk management experts produced a state-of-the-art quantitative landslide hazard map for the whole world. The dataset comprises gridded maps of estimated annual frequency of significant landslides per square kilometre. Significant landslides are those which are likely to have been reported had they occurred in a populated place; limited information on reported landslide size makes it difficult to tie frequencies to size ranges but broadly speaking would be at least greater than 100 m2. The data provides frequency estimates for each grid cell on land between 60°S and 72°N for landslides triggered by seismicity and rainfall. Applications of this dataset include improved hazard screening based on frequency and severity, consistent national, regional and global scale exposure assessment, estimates of annual expected impact on population and the built environment.1Licence not specified7 months ago
- Megacity Dhaka encounters various kinds of natural disasters quite frequently owing to its geographical location and a number of other physical and environmental conditions including low topography, land characteristics, multiplicity of rivers and the monsoon climate. Climate and disaster resilience is not the same in all parts of a city. Spatial variations in resilience patterns result from differences in the strengths and weaknesses of the city’s economic, social, physical, institutional or natural aspects across its various parts. Traditional frameworks to assess adaptive capacity at the local level have focused largely on assets and capitals as indicators. While useful in understanding the capacity of a system to cope with disasters and adapt to changing environments, asset-oriented approaches overlook the processes and functions of a system (for example, governance system, community participation in decision-making, knowledge dissemination and management, structure of institutions and entitlements etc.) that are important aspects influencing the capacity of a human system to respond to climate change events.1Licence not specified7 months ago
- The EOCHA Data Portal facilitates the access to heterogeneous datasets providing in a one-stop-shop the access services and basic data mining tools necessary to explore geospatial data i.e. in the context of the disease early warning systems. The Portal is based on the Multisensor Evolution Analysis (MEA) technology - an Earth Observation and geospatial data analysis tool empowered with OGC (Open Geospatial Consortium) standards and open source technologies to enable Big Data access and processing services. Key World Bank sectors can benefit from such climaterelated health risk assessment including Agriculture and Rural Development, Environment, and Health, Nutrition and Population in the regions that are afflicted by both high burdens of infectious disease and climate change - notably, Africa, South America, East Asia and the Pacific. This platform is produced under the 2016 World Bank (WBG) - European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20161Licence not specified7 months ago
- Survey data from Mexico, 1995, which provides detailed information on environmental performance and determinants, including plant, firm and market characteristics, pollution control costs, relationships with regulators, and measures to improve environmental performance. All plant and respondent identities were kept confidential. The data and survey document are all contained in the zip file. As preparation for their research paper on "What Improves Environmental Performance? Evidence from Mexican Industry," Susmita Dasgupta, Mala Hettige and David Wheeler used survey evidence to analyze the effects of regulation, plant-level management policies, and plant and firm characteristics on environmental performance in Mexican factories. They focused especially on management policies: the degree of effort to improve environmental performance and the type of management strategy adopted. The survey, conducted in the fall of 1995, focused on the food, chemicals, non-metallic minerals and metals sectors, which account for 75 percent to 95 percent of Mexico’s total industrial pollution. 236 facilities in the survey were chosen as representative of Mexican factories as defined by sector, size and location. The survey was designed by a World Bank team, conducted by the Monterrey Institute of Technology, and supported by the Mexico National Environment Ministry (SEMARNAP) and the Mexican National Association of Industries. The survey provides detailed information on performance and determinants, including plant, firm and market characteristics, pollution control costs, relationships with regulators, and measures to improve environmental performance. All plant and respondent identities were kept confidential. It is important to note the information derived from the survey was self-reported. No independently audited data on pollution and regulatory compliance was associated with the survey. Finally, with confidentiality assured, 49 percent of survey respondents admitted non-compliance with regulations. With no benchmarks, only educated guesses can be made about the degree of upward bias. Evidence from Indonesia, a country with similar regulations but weaker monitoring and enforcement, revealed a non-compliance rate of 64 percent. This suggests that the degree of upward bias in the Mexican self-assessment may be small. In any case, our analysis for this research focuses on relative, not absolute, performance.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of the united Arab Emirates. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utilities (AADC, ADDC, DEWA, SEWA & FEWA).1Licence not specified7 months ago
- Tanzania Electric Supply Company Limited (TANESCO) is a parastatal organization under the Ministry of Energy and Minerals. The Company generates, transmits, distributes and sells electricity to Tanzania Mainland and sells bulk power to the Zanzibar Electricity Corporation (ZECO) which in turn sells it to the public in islands Unguja and Pemba. TANESCO owns most of the electricity Generating, Transmitting and Distributing facilities in Tanzania Mainland. The dataset provides information on existing, under construction and proposed power stations for hydro, thermal and substations, as well as existing and under construction transmission lines. The data is geo-referenced , digitized and extracted from the national grid system map published in 2015 by TANESCO. The following links are datasets related to Tanzania's power systems that are provided by other sources and are available for data comparisons. Tanzania - Power Plants (2015) https://energydata.info/dataset/tanzania---power-plants--2015- Tanzania - Electricity Transmission Network (2014) https://energydata.info/dataset/tanzania-electricity-transmission-networ... Tanzania - Transmission Grid Network (2015) https://energydata.info/dataset/transmission-network-tanzania1Licence not specified7 months ago
- This raster file represents a land cover classification in La Ceiba based off satellite imagery from November 11, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- Spatial distribution of the Next Generation Networks (NGN) - white villages in which there is no provider of fixed broadband connection (regardless if a mobile 3G+ network is present or not).1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Libya. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (GECOL).1Licence not specified7 months ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specified7 months ago
- This research activity was carried out by Enclude for approximately 8,500 household survey across Pakistan to measure the energy access rates, consumption patterns and economic & psychographic drivers to ‘energy relevant’ behaviours. This data set provides a snapshot of electricity access in Pakistan that covers the level of electricity access by household (availability and use), awareness of available solutions, and willingness to pay and also provides information for behavioural & psychographic segmentation. < p> For more information, please refer to the materials below: http://pubdocs.worldbank.org/pubdocs/publicdoc/2016/5/663781463774919478... http://pubdocs.worldbank.org/pubdocs/publicdoc/2016/5/604031463774918028... Funded by the Asia Sustainable & Alternative Energy Program (ASTAE), a multi-donor trust fund administered by the WB. World Bank contact Clara Ivanescu (civanescu@worldbank.org)1Licence not specified7 months ago
- Overview: Global results from gridfinder model, produced by ESMAP based on joint work with Facebook and others. Uses night-time lights, road networks and existing grid network data to predict the location of transmission and distribution lines globally. Validated in several countries with ~70% accuracy at 1 km. More information: Blog with brief overview: https://blogs.worldbank.org/energy/using-night-lights-map-electrical-gri... Full research paper: https://www.nature.com/articles/s41597-019-0347-4 Visualization: https://gridfinder.org/ The following data are included: grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column targets.tif: Binary raster showing locations predicted to be connected to distribution grid. lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Tunisia. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (STEG).1Licence not specified7 months ago
- This raster file represents a land cover classification in Chimaltenango based off satellite imagery from March 12, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India. The database is primarily based on the information provided by FAO Aquastat Database (http://www.fao.org/nr/water/aquastat/sets/index.stm#dams) and on the data gathered from World Bank hydro projects. The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource maps. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY18 pilot, the work is likely to be scaled up to provide global coverage.1Licence not specified7 months ago
- Map with solar irradiation and PV power potential in Ukraine. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential [kWh/kWp] (2) GHI – Global horizontal irradiation [kWh/m2] (3) DIF – Diffuse horizontal irradiation [kWh/m2] (4) GTI – Global irradiation for optimally tilted surface [kWh/m2] (5) OPTA – Optimum tilt to maximize yearly yield [°] (6) DNI – Direct normal irradiation [kWh/m2]1Licence not specified7 months ago
- Earthquakes represent a serious threat to the people and institutions of Afghanistan. As part of a United States Agency for International Development (USAID) effort to assess the resource potential and seismic hazards of Afghanistan, the Seismic Hazard Mapping group of the United States Geological Survey (USGS) has prepared a series of probabilistic seismic hazard maps that help quantify the expected frequency and strength of ground shaking nationwide. To construct the maps, we do a complete hazard analysis for each of ~35,000 sites in the study area. We use a probabilistic methodology that accounts for all potential seismic sources and their rates of earthquake activity, and we incorporate modeling uncertainty by using logic trees for source and ground-motion parameters. See the Appendix for an explanation of probabilistic seismic hazard analysis and discussion of seismic risk. Production of the seismic hazard maps is challenging because the geological and seismological data required to produce a seismic hazard model are limited. The data that are available for this project include historical seismicity and poorly constrained slip rates on only a few of the many active faults in the country. Much of the hazard is derived from a new catalog of historical earthquakes: from 1964 to the present, with magnitude equal to or greater than about 4.5, and with depth between 0 and 250 kilometers. We also include four specific faults in the model: the Chaman fault with an assigned slip rate of 10 mm/yr, the Central Badakhshan fault with an assigned slip rate of 12 mm/yr, the Darvaz fault with an assigned slip rate of 7 mm/yr, and the Hari Rud fault with an assigned slip rate of 2 mm/yr. For these faults and for shallow seismicity less than 50 km deep, we incorporate published ground-motion estimates from tectonically active regions of western North America, Europe, and the Middle East. Ground-motion estimates for deeper seismicity are derived from data in subduction environments. We apply estimates derived for tectonic regions where subduction is the main tectonic process for intermediate-depth seismicity between 50- and 250-km depth. Within the framework of these limitations, we have developed a preliminary probabilistic seismic-hazard assessment of Afghanistan, the type of analysis that underpins the seismic components of modern building codes in the United States. The assessment includes maps of estimated peak ground-acceleration (PGA), 0.2-second spectral acceleration (SA), and 1.0-second SA, with return periods of about 500 years (equal to a 10-percent probability in 50 years), 1000 years (equal to a 5-percent probability in 50 years), and 2,500 years (equal to a 2-percent probability in 50 years)1Licence not specified7 months ago
- Replication Data for Adam Storeygard; Farther on down the Road: Transport Costs, Trade and Urban Growth in Sub-Saharan Africa, The Review of Economic Studies, Volume 83, Issue 3, 1 July 2016, Pages 1263–1295, https://doi.org/10.1093/restud/rdw020. Abstract: How does isolation affect the economic activity of cities? Transport costs are widely considered an important barrier to local economic activity but their impact in developing countries is not well-studied. This paper investigates the role of inter-city transport costs in determining the income of sub-Saharan African cities. In particular, focusing on fifteen countries whose largest city is a port, I ask how important access to that city is for the income of hinterland cities. The lack of panel data on both local economic activity and transport costs has prevented rigorous empirical investigation of this question. I fill this gap with two new datasets. Satellite data on lights at night proxy for city economic activity, and new road network data allow me to calculate the shortest route between cities. Cost per unit distance is identified by plausibly exogenous world oil prices. The results show that an oil price increase of the magnitude experienced between 2002 and 2008 induces the income of cities near a major port to increase by 6.6 percent relative to otherwise identical cities one standard deviation farther away. Combined with external estimates, this implies an elasticity of city economic activity with respect to transport costs of -0.25 at that distance. Moreover, the effect differs by the surface of roads between cities. Cities connected to the port by paved roads are chiefly affected by transport costs to the port, while cities connected to the port by unpaved roads are more affected by connections to secondary centers. This dataset is part of the Global Research Program on Spatial Development of Cities funded by the Multi-Donor Trust Fund on Sustainable Urbanization of the World Bank and supported by the U.K. Department for International Development.1Licence not specified7 months ago
- The authors argue that one reason why emerging economies borrow short term is that it is cheaper than borrowing long term. This is especially the case during crises, as during these episodes the relative cost of long-term borrowing increases. They have constructed a unique database of sovereign bond prices, returns, and issuances at different maturities for 11 emerging economies from 1990 to 2009 and present a set of new stylized facts. On average, these countries pay a higher risk premium on long-term than on short-term bonds. During crises, the difference between the two risk premia increases and issuance shifts towards shorter maturities.1Licence not specified7 months ago
- These raster files show the land cover classification around Harare in 2006 and 2010. The classification results were based on Spot 5 imagery. Land cover classes in the attribute table are as follows: Class 1 - Regular Residential (small planned buildings) Class 2- Regular Residential (small unplanned buildings) Class 3 - Commercial/Industrial (large buildings) Class 4 - Natural (Vegetation/Soil/non built-up This dataset is part of a paper which illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for comparability across very diverse cities, this work looks at the above mentioned cities through the lens of several spatial indicators and relies heavily on data derived from satellite imagery. First, it focuses on understanding the distribution of population across the city, and more specifically how the variations in population density could be linked to transportation. Second, it takes a closer look at the land cover in each city using a semi-automated texture based land cover classification that identifies neighborhoods that appear more regular or irregularly planned. Lastly, for the higher resolution images, this work studies the changes in the land cover classes as one moves from the city core to the periphery. This work also explored the classification of slightly coarser resolution imagery which allowed analysis of a broader number of cities, sixteen, provided the lower cost. When using this dataset keep in mind: Accuracy is higher in closer to the City center, and the distinction between class 1 and class 2 has not been validated, so use with caution. To learn more about the methodology please refer to https://ssrn.com/abstract=28833941Licence not specified7 months ago
- WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.1Licence not specified7 months ago
- Product Market Regulation (PMR) indicators assess the extent to which public policies promote or inhibit market forces in several areas of product markets. Each of the areas addressed within the PMR methodology sheds light on specific restrictions of the regulatory framework both economy-wide and in key sectors of the economy on twelve topics: electricity; gas; telecom; post; transport; water; retail distribution; professional services; other sectors; administrative requirements for business start-ups; treatment of foreign parties; and others, such as governance of public-controlled enterprises or antitrust exclusions and exemptions. The information included in this dataset was collected as part of a partnership between the Markets & Competition Policy Global team of the World Bank Group (WBG) and the Economics Division of the Organisation for Economic Co-operation and Development (OECD) to produce PMR indicators for 10 LAC countries (Brazil, Costa Rica, Chile, Colombia, Dominican Republic, El Salvador, Honduras, Jamaica, Mexico, Nicaragua, Peru and Uruguay), later supported by the Inter-American Development Bank to produce indicators for 5 additional countries in the region (Bolivia, Ecuador, Guatemala, Panama and Paraguay). For further details on the PMR methodology, see the Product Market Regulation Indicators Homepage of the OECD.1Licence not specified7 months ago
- 7 months ago
- Looking back 45 years or so, progress against poverty in India has been highly uneven over time and space. It took 20 years for the national poverty rate to fall below—and stay below—its value in the early 1950s. And trend rates of poverty reduction have differed appreciably between states. This research project aimed to understand what influence economy-wide and sectoral factors have played in the evolution of poverty measures for India since the 1950s, and to draw lessons for the future. This database contains detailed statistics on a wide range of topics in India. The data are presented at the state level and at the all-India level separately. The database uses published information to construct comprehensive series in six subject blocks. Period coverage is roughly from 1950 to 1994. The database contains 30 spreadsheets and 89 text files (ASCII) that are grouped into the six subject blocks. The formats and sizes of the 30 spreadsheets vary considerably. The list of variables included: . Expenditures (distribution) . National Accounts . Prices Wages . Population . Rainfall1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Egypt. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EEHC).1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.1Licence not specified7 months ago
- Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Sustainable Development Goals (SDGs). These indicators may help to monitor SDGs, but they are not always the official indicators for SDG monitoring.1Licence not specified7 months ago
- The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.1Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Lebanon. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EDL).1Licence not specified7 months ago
- Scientific evidence indicates that global warming could lead to a sea-level rise (SLR) of 1 meter or more in the 21st century. In this research, we have assessed how that would affect coastal wetlands in 76 developing countries and territories, taking into account how much of wetlands would be submerged and how likely the wetlands would move inland as the coastline recedes. Geographic Information System (GIS) software has been used to overlay the best available, spatially-disaggregated global data on freshwater marsh, Global Lakes and Wetlands Database (GLWD) Coastal Wetlands and brackish/saline wetlands, with the inundation zones projected for 1m SLR. In order to assess the impact of SLR on wetlands and the potential for adaptation, the wetland migratory potential (WMP) characteristic in the Dynamic Interactive Vulnerability Assessment (DIVA) database from the DINAS-COAST project has been used (Vafeidis et al, 2008). Our research estimates the vulnerable freshwater marsh, swamp forest, GLWD Coastal Wetlands, and brackish/saline wetlands, areas at risk by country and territory.1Licence not specified7 months ago
- Building locations were collected as points for Kinshasa and North Ubangi as part of a survey design for electrification monitoring.1Licence not specified7 months ago
- The Rethinking Power Sector Reform in the Developing World study is based on global data as well as 17 deep dive case studies that included data on 28 utilities, 17 regulators and national power sectors. The dataset provides access to the data collected for the report - including the various indices created for the report and the cost recovery analysis.1Licence not specified7 months ago
- 7 months ago
- The Global Roads Inventory Project is a harmonized global dataset of aproximately 60 geospatial datasets on road infrastructure. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets. This dataset is split into 5 road types: highways/ primary/ secondary/ tertiary/ local roads For more information, please visit: http://www.globio.info/download-grip-dataset http://iopscience.iop.org/article/10.1088/1748-9326/aabd42/meta1Licence not specified7 months ago
- Data for replicating The Global Spatial Distribution of Economic Activity: Nature, History, and the Role of Trade (forthcoming 2018; with Vernon Henderson, Tim Squires and David N. Weil) Quarterly Journal of Economics We explore the role of natural characteristics in determining the worldwide spatial distribution of economic activity, as proxied by lights at night, observed across 240,000 grid cells. A parsimonious set of 24 physical geography attributes explains 47% of worldwide variation and 35% of within-country variation in lights. We divide geographic characteristics into two groups, those primarily important for agriculture and those primarily important for trade, and confront a puzzle. In examining within-country variation in lights, among countries that developed early, agricultural variables incrementally explain over 6 times as much variation in lights as do trade variables, while among late developing countries the ratio is only about 1.5, even though the latter group is far more dependent on agriculture. Correspondingly, the marginal effects of agricultural variables as a group on lights are larger in absolute value, and those for trade smaller, for early developers than for late developers. We show that this apparent puzzle is explained by persistence and the differential timing of technological shocks in the two sets of countries. For early developers, structural transformation due to rising agricultural productivity began when transport costs were still high, so cities were localized in agricultural regions. When transport costs fell, these agglomerations persisted. In late-developing countries, transport costs fell before structural transformation. To exploit urban scale economies, manufacturing agglomerated in relatively few, often coastal, locations. Consistent with this explanation, countries that developed earlier are more spatially equal in their distribution of education and economic activity than late developers. This dataset is part of the Global Research Program on Spatial Development of Cities funded by the Multi-Donor Trust Fund on Sustainable Urbanization of the World Bank and supported by the U.K. Department for International Development.1Licence not specified7 months ago
- This dataset has been clipped from the GAR15 storm surge model by GFDRR for inclusion into ThinkHazard! The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and strom surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.1Licence not specified7 months ago
- This dataset provides five flood scenarios for Greater Dhaka Area, with estimates of location-specific depth and duration of inundation, for extreme rainfall event in 2050. Intense rainfall floods Dhaka, Bangladesh, one of the world’s fastest-growing megacities, year in and year out. Low-lying flood plains, rivers, and canals that once drained water are gradually filling up as a result of indiscriminate urbanization, and now magnify, rather than help solve the problem. The climatic outlook for South Asia in the 21st century signals heavier and more erratic rainfall during the monsoon season, according to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change and the World Meteorological Organization. Thus, climate change may further aggravate Dhaka’s flood vulnerability. Dhaka needs to better manage its flood drainage infrastructure and strengthen the city’s climate-disaster resilience and adaptive capacity. But climate-smart policies require local planners to better understand the likely damage from current flooding, potential damage from climate-related risks, measures that can be taken to cope with current and future flooding as well as adaptation costs. In an effort to enhance such understanding and to provide input to development of adaptation policies, this research estimated location-specific depth and duration of inundation from extreme rainfall events by 2050 with or without climate change, discussed structural adaptation measures to cope with current and future flooding, evaluated the reduction in inundation resulting from implementing these measures, and estimated adaptation cost. Depth and duration of inundation in Greater Dhaka Area from extreme rainfall events by 2050 with or without climate change under different scenarios at ward/ thana-level have been summarized in the Excel Workbook “Urban Flooding of Greater Dhaka in 2050” Detailed Study Area: The dataset covers Greater Dhaka Area: Eastern Dhaka, Western Dhaka-Goranchatbari, Western Dhaka-Kallyanpur, Central Dhaka, Old Dhaka, DND and Narayanganj. As flooding is a periodic problem in Dhaka, the city can be said to already have an adaptation deficit even without climate change. The analysis therefore addressed the issue from both current and future climate perspectives. **Future (2050) Rainfall Extreme Scenarios: ** Dhaka experienced 341mm rainfall in 24 hours in September 2004; and this historic extreme rainfall was taken as the current climate baseline in the underlying analysis. For the future, the underlying analysis considered a 16 percent increase in extreme rainfall in a changing climate by 2050. Assumptions about the Future: As any change in land use has implications for the percentage of built-up area, and therefore drainage of the storm water, the analysis assumed that future land cover would change according to the RAJUK’s Detailed Action Plan (DAP). For drainage, the analysis assumed that all improvements to Dhaka’s drainage infrastructure, both planned and proposed by the relevant drainage-system authority, would be implemented. Five Alternative Scenarios: Estimates of location-specific depth and duration of inundation were estimated for extreme rainfall event in 2050 for following five scenarios: Scenario1: 341mm rainfall in 24 hours As timing and magnitude of climate change is somewhat unknown, ward/thana-level inundation depth and duration for 2050 were generated for the baseline rainfall event without consideration of any climate change. The analysis accounts for expected socioeconomic changes and planned changes in the land use pattern as well as drainage infrastructure. Scenario 2: 341mm rainfall in 24 hours without adaptation deficit The estimates of inundation from scenario1 were discussed with the local experts and based on their recommendations a set of potential adaptation measures - for example increase in pump capacity, sludge cleaning, laying of new drainage pipes, deepening existing water bodies - was designed and incorporated in hydrological modeling. The modeling was repeated with different capacities of pumps etc. until a desirable depth and duration of inundation for each study region was attained. Scenario 3: 396mm rainfall in 24 hours Ward/thana-level estimates of inundation depth and duration were generated for the changing climate in 2050 taking into account climate change - using a potential 16 percent increase in extreme rainfall as a factor as well as accounting for expected socioeconomic changes, planned changes in the land use pattern and drainage infrastructure. Scenario 4: 396mm rainfall in 24 hours without adaptation deficit Implications for flooding were estimated in a changing climate after current climate adaptation deficit is met. Scenario 5: 396mm rainfall in 24 hours without adaptation deficit and with adaptation for climate change Implications for a set of adaptation measures suggested by local experts to deal with climate change were estimated. These estimates are from the three-step hydrological modeling component of the study. The first modeling step simulated basin-level flows from the Brahmaputra River in the Ganges-Brahmaputra-Meghna River system since they strongly influence monsoon-season river flows and water levels in the Greater Dhaka area. In the second step, the effects of climate change on the regional rivers were simulated. Finally, in the third step, detailed modeling of the drainage system in and around Dhaka city was simulated. The analysis centered on the worst-case scenario in which river levels are high and all sluice gates are closed. Therefore, there is no gravity drainage out of the city and the drainage system depends primarily on the performance efficiency of drainage pumps, which is often the case during intense rainfall. For Western Dhaka-Old Dhaka, Central Dhaka, Kallyanpur, and Goranchatbari—the impacts of climate change on river flooding were not considered in the analyses as this main part of the city is protected by flood embankments on all sides. See Urban Flooding of Greater Dhaka in a Changing Climate- Building Local Resilience to Disaster Risk: chapters 2, 3 and 6 for details. These estimates were prepared by Asif Zaman, World Bank Consultant and Water Resources and DSS Specialist, Institute of Water Modeling. The study was conducted under the World Bank-supported study on Urban Flooding of Greater Dhaka in a Changing Climate: Potential Damage and Adaptation (Task team Leader: Susmita Dasgupta). The study team gratefully acknowledges the financial support provided by the Bangladesh Climate Change Resilience Fund (BCCRF) - a multi-donor trust fund supported by the governments of the United Kingdom, Denmark, Sweden, Switzerland, Australia, the United States, and the European Union. Lead Researcher: Dr. Asif Zaman1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Iraq. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and Iraq Ministry of Electricity.1Licence not specified7 months ago
- Two different maps of the Köppen-Geiger climate classification: World map of the Köppen-Geiger climate classification observed using CRU TS 2.1 temperature and GPCC Full v4 precipitation data, period 1976-2000. World map of the Köppen-Geiger climate classification projected using IPCC A1FI Tyndall SC 2.03 temperature and precipitation scenarios, period 2076-2100.1Licence not specified7 months ago
- Data collected and prepared for a project of the World Bank Group - Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...1Licence not specified7 months ago
- Accessibility is defined as the travel time to a location of interest using land (road/off road) or water (navigable river, lake and ocean) based travel. This accessibility is computed using a cost-distance algorithm which computes the cost of traveling between two locations on a regular raster grid. Generally this cost is measured in units of time. The input GIS data and a description of the underlying model that were developed by Andrew Nelson in the GEM (Global Environment Monitoring) unit in collaboration with the World Bank's Development Research Group between October 2007 and May 2008. The pixel values representing minutes of travel time. Available dataset: Joint Research Centre - Land Resource Management Unit1Licence not specified7 months ago
- This record contains the tabular data (xlsx) and poster maps that accompanies the information provided in the the WBG report published in October 2019 titled, "Going Global: Expanding Offshore Wind to Emerging Markets", linked below. Following on from the report, the same methodology was used to generate maps for all WBG client countries with a coastline and with offshore wind resource. Some regional maps (Caribbean Islands, Caspian Sea, Black Sea) were also generated. In some cases maps were generated to illustrate the absence of any resource, to support discussions with clients. All outputs arr published on the World Bank website and collated on the ESMAP website: https://esmap.org/offshore-wind. This dataset contains tabular information on wind speed and water depth categories for floating and fixed offshore wind in WB client countries that have viable technical potential. Links to the individual country PDF maps can also be accessed below.1Licence not specified7 months ago
- Small water bodies inventory and water volume, covering the full Southern Province of Zambia, and includes of 1022 small reservoirs identified with optical satellite data from the Landsat5 satellite in the years 2010 and 2011. These locations are also available in excel file with LatLong coordinates for field inspection. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) - European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20131Licence not specified7 months ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specified7 months ago
- The rainfall data are obtained from Vietnam's HydroMeteorological Data Center (http://www.hymetdata.gov.vn/), and cover daily observations from 172 weather stations. Most of them were actively operated throughout the period 1975-2006. The list of weather stations with GIS coordinates is also provided.1Licence not specified7 months ago
- Global multihazard total economic loss risk deciles, v1 (01/01/2000) displays multihazard total economic loss risks. The purpose is to identify areas of the world that are at greater risk of multihazard total economic loss. See more information at http://dx.doi.org/10.7927/h4s180f9. Dataset summary: global multihazard total economic loss risk deciles is a 2.5 minute grid of global multihazard total economic loss risks. First, for each of the considered hazards (cyclones, droughts, earthquakes, floods, landslides, and volcanoes), subnational distributions of gross domestic product (gdp) are computed using a methodology developed from sachs et al. (2003). Where applicable, the contributions of subnational units to national gdp estimates, the contribution ratio, are determined using data of varied origin. World bank development indicators are substituted for gdp estimates of varied origin and the subnational gdp is estimated using the fore mentioned contribution ratios. A subnational, per capita gdp is derived and a final gdp estimate per grid cell is made based on grid cell population density. A raw, total economic loss is computed per grid cell using a regional economic loss rate derived from em-dat records. To more accurately reflect the confidence surrounding the economic loss estimate, the range of losses are classified into deciles, 10 classes of an approximately equal number of grid cells. A multihazard index is generated by summing the top three deciles of the individual hazards. This data set is the result of collaboration among the columbia university center for hazards and risk research (chrr), international bank for reconstruction and development/the world bank, and columbia university center for international earth science information network (ciesin). Recommended citation: center for hazards and risk research - chrr - columbia university, center for international earth science information network - ciesin - columbia university, and international bank for reconstruction and development - the world bank. 01/01/2005. Global multihazard total economic loss risk deciles. Palisades, ny: nasa socioeconomic data and applications center (sedac). Http://dx.doi.org/10.7927/h4s180f9. Accessed day month year.1Licence not specified7 months ago
- This raster file represents a land cover classification in Esteli based off satellite imagery from December 7, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specified7 months ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specified7 months ago
- Ports were extracted from the UNCE global repository (https://service.unece.org/trade/locode/ca.htm), and were combined with port flows data from LPI logisitcs. All ports with reported international trade in Q1 of 2020 were attributed with the sum of Quarterly deployed capacity (TEU).1Licence not specified7 months ago
- Globally gridded dataset of electrical conductivity in surface water for the years 1992-2010, monthly observations. Data is available at the 0.5x0.5 degree gridcell level. Units are microsiemens/centimeter (uS/cm). Electrical conductivity is a common indicator for salinity in water. Data is generated using a machine learning model, as described in the report Quality Unknown: The Invisible Water Crisis (https://www.worldbank.org/en/news/feature/2019/08/20/quality-unknown). See report Appendix for more details.1Licence not specified7 months ago
- This shapefile contains perennial and non-perennial water courses in Ivory Coast.1Licence not specified7 months ago
- This shapefile contains airports in Ivory Coast with detailed data on quality1Licence not specified7 months ago
- GlobCover is an ESA initiative which began in 01/01/2005 in partnership with JRC, EEA, FAO, UNEP, GOFC-GOLD and IGBP. The GlobCover project has developed a service capable of delivering global composites and land cover maps using as input observations from the 300m MERIS sensor on board the ENVISAT satellite mission. The GlobCover 2009 land cover map is derived by an automatic and regionally-tuned classification of a time series of global MERIS (MEdium Resolution Imaging Spectrometer) FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS).1Licence not specified7 months ago
- The aim of this study is to identify key barriers that hinder adoption of energy efficiency measures in the industrial and commercial sectors in Ukraine. A field survey questionnaire was developed that permits the 500 industrial and commercial enterprises to reveal specific barriers to increasing energy efficiency, comparing these barriers among each other to rank them and to study investment behavior of the enterprises. Enterprises to survey were chosen with two-stage quota sample that accounts for their energy consumption and GHG emissions, among other factors. The sample included industrial and non-industrial energy intensive enterprises of all the regions of Ukraine.1Licence not specified7 months ago
- Interconnection of the electricity transmission network of Palestine with Jordan. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specified7 months ago
- Main nodes and major lines of the electricity transmission network of Yemen. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specified7 months ago
- This shapefile contains water bodies in Ivory Coast.1Licence not specified7 months ago
- What a Waste is a global project to aggregate data on solid waste management from around the world. This database features the statistics collected through the effort, covering nearly all countries and over 330 cities. The metrics included cover all steps from the waste management value chain, including waste generation, composition, collection, and disposal, as well as information on user fees and financing, the informal sector, administrative structures, public communication, and legal information. The information presented is the best available based on a study of current literature and limited conversations with waste agencies and authorities. While there may be variations in the definitions and quality of reporting for individual data points, general trends should reflect the global reality. All sources and any estimations are noted.1Licence not specified7 months ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specified7 months ago
- The factsheets contain information covering topics such as Agriculture (eg., fertilizer consumption), Biodiversity (eg., known bird species) to Environmental Health (eg., air pollution damages).1Licence not specified7 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- The GIS database has been developed by under the Small Hydropower Mapping and Improved Geospatial Electrification Planning in Indonesia Project [Project ID: P145273]. The scope of the project was to facilitate and improve the planning and investment process for small hydro development both grid and isolated systems through: building up a central database on smal hydro at national scale and validating the mapping of small hydro in NTT, Maluku, Maluku Utara and Sulawesi improved electrification planning by integrating small hydro potential for the provinces of NTT, Maluku, Maluku Utara and Sulawesi into the planning process. Please refer to the country project page for additional outputs and reports: https://www.esmap.org/re-mapping/indonesia The GIS database contains the following datasets: SHP(promising sites) Admin Divisions Topomas_grid Rivers, Geology Forest_areas Roads RainfallGauges RunoffGauges ElectricSystem, each accompanied by a metadata file. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Indonesia Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/indonesia-small-hydro-gis-database-2017"1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Farafenni: 2021-09-12 – 2023-09-111Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Tambacounda: 2021-11-11 – 2023-11-10 - Ourossogui: 2021-10-29 – 2023-10-281Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Ethiopia. For more information please visit the country webpage: https://www.esmap.org/node/559201Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Kenema: 2021-11-18 – 2023-11-17 - Bumbuna: 2021-10-30 – 2023-10-291Licence not specified8 months ago
- The transmission network map is obtained from the OpenStreetMap (OSM) database version 06.Feb.2017. The level of completeness varies across different areas due to poor satellite/aerial imagery and/or resolution in some areas, and due to a lack of OSM editors to help improve the data. If you are interested in improving this dataset, you can do so by further digitizing the available imagery with the in-browser OSM ID Editor http://ideditor.com/ using the guidance available on the OSM Wiki https://wiki.openstreetmap.org/wiki/Main_Page OSM is a collaborative project to create a free editable map of the world. Map data is collected from scratch by volunteers using GPS, local knowledge and other free sources of information and then entered in the OSM database. The resulting map can be viewed and downloaded from the OSM server: http://www.OpenStreetMap.org. Every user is encouraged to contribute back to the OSM database. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF).1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Buchanan: 2022-02-25 – 2024-03-24 - Mount Coffee: 2021-06-12 – 2023-06-12 - Yekepa: 2022-03-16 – 2024-03-151Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bauchi: 2021-09-20 – 2023-09-19 - Kano: 2021-09-10 – 2023-09-091Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data for medium and high voltage transmission lines in Botswana. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Main nodes and major lines of the electricity transmission network of Jordan. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (NEPCO).1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- The Building Green global dataset collects data on building energy codes and standards applicable to new and existing buildings, as well as their enforcement mechanisms and levels of compliance. The dataset is produced by the Global Indicators Group (DECIG), sponsored by the Knowledge for Change Program Trust Fund.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bougouni: 2021-04-28 – 2023-04-27 - Fana: 2021-04-29 – 2023-04-28 - Sanankoroba: 2021-04-28 – 2023-04-27 - Sikasso: 2021-09-30 – 2023-09-29 - Manantali: 2021-11-09 – 2023-11-081Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Shapefile of national roads (Class A and Class B), digitized from Sri Lanka's National Road Master Plan. The road shapefile is topologically correct, i.e. ready to be used for a road network. Class A Roads: Inter-provincial trunk roads connecting major cities and ports Class B Roads: Intra-provincial arterial roads connecting major urban areas Sri Lanka's National Road Master Plan can be found online here: https://www.rda.gov.lk/1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- CEEAT MS Excel-based and uses an input-output (I-O) table-based approach to estimate the economy-wide net direct, indirect and induced employment impacts of various clean energy technology pathways, with a focus on the electricity sector. *Please note that the default setting is set to Morocco. Please enter data from your country of interest.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data collected and prepared for a project of the World Bank Group in January 2005. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Kankan: 2021-10-18 – 2023-10-17 - Tarambaly: 2021-10-24 – 2023-10-231Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- This dataset includes annual irrigation water requirements and corresponding irrigation energy needs for the period from 2000 to 2020. Additionally, the dataset provides the estimated annual irrigation yield gain, calculated as the difference between irrigated and rainfed yield within each crop cell, while keeping all other production conditions constant. Furthermore, the average annualized break-even crop prices over the 20-year period for viable solar irrigation are included for each gridded cropland cell.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Lossa: 2022-01-23 – 2024-01-22 - Maradi: 2022-02-02 – 2024-02-01 - Zabori: 2022-02-10 – 2024-02-091Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bissau: 2022-03-15 - 2024-03-14 - Gabu: 2022-03-25 – 2024-03-241Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Dapaong: 2021-10-25 – 2023-10-24 - Davié: 2021-11-03 – 2023-11-021Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Dédougou: 2021-10-27 – 2023-10-26 - Dori: 2021-10-12 – 2023-10-11 - Kaya: 2021-04-28 – 2023-04-27 - Koupéla: 2021-04-29 – 2023-04-281Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data collected and prepared for a project of the World Bank Group Electricity Market Project in Romania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P081406/electricity-market-project?lang=en1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Korhogo: 2022-03-18 – 2024-03-17 - Sérébou: 2022-04-14 – 2024-04-131Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Sunyani: 2021-11-30 – 2023-11-29 - Navrongo: 2021-11-16 – 2023-11-151Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Malanville: 2021-08-09 – 2023-08-08 - Parakou: 2021-08-13 – 2023-09-121Licence not specified8 months ago
- [The Global Electrification Platform (GEP)](https://electrifynow.energydata.info) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- [The Distrubuted Renewable Energy (DRE) Atlas](https://dre.energydata.info) is an open-access, publicly accessible, web-based, and interactive platform providing detailed information on settlements across 58 countries. This platform enables users to easily navigate and obtain essential information about potential mini-grid sites, facilitating informed investment decisions. Its analytics capabilities allow decision-makers to identify key market indicators for investment planning.1Licence not specified8 months ago
- These raster files show the land cover classification around Harare in 2006 and 2010. The classification results were based on Spot 5 imagery. Land cover classes in the attribute table are as follows: Class 1 Regular Residential (small planned buildings) Class 2- Regular Residential (small unplanned buildings) Class 3 Commercial/Industrial (large buildings) Class 4 Natural (Vegetation/Soil/non built-up This dataset is part of a paper which illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for comparability across very diverse cities, this work looks at the above mentioned cities through the lens of several spatial indicators and relies heavily on data derived from satellite imagery. First, it focuses on understanding the distribution of population across the city, and more specifically how the variations in population density could be linked to transportation. Second, it takes a closer look at the land cover in each city using a semi-automated texture based land cover classification that identifies neighborhoods that appear more regular or irregularly planned. Lastly, for the higher resolution images, this work studies the changes in the land cover classes as one moves from the city core to the periphery. This work also explored the classification of slightly coarser resolution imagery which allowed analysis of a broader number of cities, sixteen, provided the lower cost. When using this dataset keep in mind: Accuracy is higher in closer to the City center, and the distinction between class 1 and class 2 has not been validated, so use with caution. To learn more about the methodology please refer to https://ssrn.com/abstract=28833941Licence not specifiedover 1 year ago
- This dataset contains the GIS data used in the report, "Global Photovoltaic Power Potential by Country" generated by Solargis (https://solargis.com), with funding provided by the Energy Sector Management Assistance Program (ESMAP). The study summarizes global solar resource and PV power potential on a country and regional basis. Analysis is based on Solargis's high-resolution datasets, and GIS mask layers which are downloadable via the 'resources' tab. A country comparison spreadsheet is also provided as an additional download, which provides indicators of PV power potential for all countries as described in the study. The study provides: • Ranking and comparison of countries and regions according to their PV potential; • Approximate levelized cost of electricity (LCOE) relevant to current PV projects; • Cross-correlation with the socio-economic indicators relevant to PV development. Data information: Format: raster (GeoTIFF) size: 5.3 GB Zip file contains README.txt1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in Chinandega based off satellite imagery from November 25, 2013. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- This dataset is the result of a geospatial model that simulates how individuals and traded goods are moved in COD, taking both roads and navigable rivers into account. The Highway Development and Management Model was used to estimate the cost of the road network. The points of origin for the analysis were created by dividing the territory into more than 27,000 cells of approximately 10 kilometers on a side and estimating their centroid. Then, transport cost to the local market was estimated by calculating every possible transport route from every cell centroid to every possible market, and selecting the cheapest route-market combination as the most likely route to a destination. Full report here: http://documents.worldbank.org/curated/en/952691468195575937/Economic-bo...1Licence not specifiedover 1 year ago
- The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and storm surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.1Licence not specifiedover 1 year ago
- Land cover/land use (LULC) maps for the catchments of Kelani Ganga and Attanagalu Oya, and LULC Change comparing 1991, 2001 with the recent LCLU (2012). Classification includes two thematic levels (national 7-class scheme and 15 land cover/land use classes according to user definitions). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedover 1 year ago
- Probabilistic tsunami hazard assessment for Indonesia, cnducted by Geoscience Australia the first nationally consistent probabilistic tsunami hazard assessment (PTHA) for Indonesia. This assessment produces time-independent forecasts of tsunami hazards at the coast using data from tsunami generated by local, regional and distant earthquake sources. The methodology is based on the established monte carlo approach to probabilistic seismic hazard assessment (PSHA) and has been adapted to tsunami. We account for sources of epistemic and aleatory uncertainty in the analysis through the use of logic trees and sampling probability density functions. For short return periods (100 years) the highest tsunami hazard is the west coast of Sumatra, south coast of Java and the north coast of Papua. For longer return periods (500–2500 years), the tsunami hazard is highest along the Sunda Arc, reflecting the larger maximum magnitudes. The annual probability of experiencing a tsunami with a height of > 0.5 m at the coast is greater than 10 % for Sumatra, Java, the Sunda islands (Bali, Lombok, Flores, Sumba) and north Papua. The annual probability of experiencing a tsunami with a height of > 3.0 m, which would cause significant inundation and fatalities, is 1–10 % in Sumatra, Java, Bali, Lombok and north Papua, and 0.1–1 % for north Sulawesi, Seram and Flores. The results of this national-scale hazard assessment provide evidence for disaster managers to prioritise regions for risk mitigation activities and/or more detailed hazard or risk assessment. Wave height at coast has been buffered (to overlap onshore admin boundaries), intersected with SRTM topogrpahy, and converted to hazard levels for use in Think Hazard! This was converted by Audrey Hohmann at BRGM.1Licence not specifiedover 1 year ago
- over 1 year ago
- The data on HV lines was obtained from the data collection and mapping work in the WB project "DRC EASE" (PID: P156208). This information was revised and adjusted accordingly after consultations with SNEL and with Energy Specialists working in COD1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in Santa Ana based off satellite imagery from February 22, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- Actual evapotranspiration (AET), bimass production, water productivity1Licence not specifiedover 1 year ago
- Crowdsourced price data from 15 pilot countries, namely, Argentina, Bangladesh, Brazil, Cambodia, Colombia, Ghana, Indonesia, Kenya, Malawi, Nigeria, Peru, Philippines, South Africa, Venezuela and Vietnam; from December 2015 to August 2016 and covering 162 household good and service items. This database is a repository of information collected during a World Bank pilot study on the feasibility of crowdsourced price data collection utilizing modern information and communication technologies. The collected data can be used for a variety of spatial and temporal price studies and other price-related applications. The data was collected by leveraging a privately-operated network of paid on-the-ground contributors that had access to a smartphone application. Price collection tasks and related guidance was pushed through the application to specific geographical locations. The contributors carried out the requested collection tasks and submitted price data and other metadata using the application. The pilot was conducted in 15 pilot countries, namely, Argentina, Bangladesh, Brazil, Cambodia, Colombia, Ghana, Indonesia, Kenya, Malawi, Nigeria, Peru, Philippines, South Africa, Venezuela and Vietnam from December 2015 to August 2016. The collected price data covers 162 tightly specified household good and service items, including food and non-alcoholic beverages; alcoholic beverages and tobacco; clothing and footwear; housing, water, electricity, gas and other fuels; furnishings, household equipment and routine household maintenance; health; transport; communication; recreation and culture; education; restaurants and hotels; and miscellaneous goods and services. In total, the database includes 1,262,458 price observations, ranging from 196,188 observations for Brazil to 14,102 observations for Cambodia. The observations are accompanied by a rich set of metadata, including longitude and latitude coordinates and related geographical designations, time-stamps, outlet identifiers, volume and weight details, and brand and model information. Due to the pilot nature of this data, the survey coverage varies between and within countries. In addition, the comparability of price data for goods is typically more reliable than those for services. This database is a product of the World Bank Development Data Group. Use is subject to World Bank policies and procedures on access to information. Site-specific terms of use apply and are stated below.1Licence not specifiedover 1 year ago
- This shapefile contains polylines that represent the road network in Ivory Coast.1Licence not specifiedover 1 year ago
- For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered: a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area b. Floods triggered by rainfall stagnation after heavy local cloudbursts c. Floods caused by sea-level rise, tidal waves and coastal erosion Scenario a.) and b.) may occur at the same time. The shapefile includes 6 extents of floods between 2009 and 2018 based on HR optical imagery and 7 extents of floods based on visual interpretation of VHR data as available in GoogleEarth.1Licence not specifiedover 1 year ago
- Yearly biomass production change Ethiopia 2017 minus 20131Licence not specifiedover 1 year ago
- These seismic data were created by a consortium formed of Risk Engineering and Design (RED) and Evaluación de Riesgos Naturales (ERN), as part of a multi-hazard national risk assessment and risk profile development, conducted by GFDRR Innovation Labs. This contributes to GFDRR’s implementation of the Africa Disaster Risk Assessment and Financing Program, in turn part of the ACP-EU funded programme “Building Disaster Resilience to Natural Hazards in Sub-Saharan African Regions, Countries and Communities”. The probabilistic seismic hazard analysis is based on the ISC-GEM global instrumental catalog, NEIC (U.S. Geological Survey) catalog, and GCMT earthquake catalog. Ground Motion Prediction Equations appropriate to the extensional tectonic regime and stable continental areas within in the region are used, with VS30 soil amplification data. The PSHA is computed using the CRISIS2015 model. These data are created as part of a set of three countries (Ethiopia, Uganda, and Uganda).1Licence not specifiedover 1 year ago
- The aim of this study is to identify key barriers that hinder adoption of energy efficiency measures in the industrial and commercial sectors in Ukraine. A field survey questionnaire was developed that permits the 500 industrial and commercial enterprises to reveal specific barriers to increasing energy efficiency, comparing these barriers among each other to rank them and to study investment behavior of the enterprises. Enterprises to survey were chosen with two-stage quota sample that accounts for their energy consumption and GHG emissions, among other factors. The sample included industrial and non-industrial energy intensive enterprises of all the regions of Ukraine.1Licence not specifiedover 1 year ago
- This dataset provides Land Use, Land Use Change and Soil Loss (Area: Shire sub basin) at 10m resolution. 1) Land use maps: covers land use for the years 2005 and 2010 and the resulting changes 2) Erosion map of 2010: Relative potential based on the Revised Universal Soil Loss Equation (RUSLE) erosion formula that uses information on: annual rainfall in 2010, soil type, slope, slope length, land use in 2010 and farming practices. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20131Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains diffuse horizontal irradiation (DIF) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characeristics: DIF LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 198.94 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains solar resource data for: direct normal irradiation (DNI), global horizontal irradiation (GHI), diffuse horizontal irradiation data (DIF), and global irradiation for optimally tilted surfaces (GTI), all in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m). Due to the large amount of data, the coverage has been divided into eight segments. Four segments for the North hemisphere: WWN (West-west-north), WN (West-north), EN (East-north), EEN (East-east-north). Analogically four segments for the South hemisphere: WWS, WS, ES, EES. The data is hyperlinked under 'resources' with the following characteristics: DNI LTAy_AvgDailyTotals (GeoTIFF) Data format: raster (gridded), GEOTIFF File size : 343.99 MB *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- Monthly biomass production change Ethiopia 2017 minus 20131Licence not specifiedover 1 year ago
- over 1 year ago
- Small water bodies inventory and water volume, covering the full Southern Province of Zambia, and includes of 1022 small reservoirs identified with optical satellite data from the Landsat5 satellite in the years 2010 and 2011. These locations are also available in excel file with LatLong coordinates for field inspection. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20131Licence not specifiedover 1 year ago
- over 1 year ago
- Yearly biomass production Ethiopia 2013 & 20171Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains optimum tilt to maximize yearly yield in (°) covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: OPTA LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 2.08 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads in 2006 and 2015. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2 (2006, 2008) and Pleiades (2015)) by means of manual classification processing techniques.1Licence not specifiedover 1 year ago
- Sea-level rise (SLR) due to climate change is a serious global threat: The scientific evidence is now overwhelming. Continued growth of greenhouse gas emissions and associated global warming could well promote SLR of 1m in this century, and unexpectedly rapid breakup of the Greenland and West Antarctic ice sheets might produce a 3-5m SLR. In this research, we have assessed the consequences of continued SLR for 84 coastal developing countries. Geographic Information System (GIS) software has been used to overlay the best available, spatially-disaggregated global data on critical impact elements (land, population, agriculture, urban extent, wetlands, and GDP), with the inundation zones projected for 1-5m SLR. This research was carried out by the World Bank in 2006, and was funded by the Canadian Trust Fund (TF030569) sponsored by the Canadian International Development Agency (CIDA).1Licence not specifiedover 1 year ago
- General Transit Feed Specification (GTFS) data for Bogota TransMilenio bus rapid transit (BRT) and Sistema de Transporte Urbano de Bogota (SITP) transit services.1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in Limon based off satellite imagery from January 31, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990). The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990). The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990). The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990). The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990). The 2014 U.S. Geological Survey (USGS) National Seismic Hazard Maps display earthquake ground motions for various probability levels across the United States and are applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated maps represent an assessment of the best available science in earthquake hazards and incorporate new findings on earthquake ground shaking, faults, seismicity, and geodesy. The USGS National Seismic Hazard Mapping Project developed these maps by incorporating information on potential earthquakes and associated ground shaking obtained from interaction in science and engineering workshops involving hundreds of participants, review by several science organizations and State surveys, and advice from expert panels and a Steering Committee. The new probabilistic hazard maps represent an update of the seismic hazard maps; previous versions were developed by Petersen and others (2008) and Frankel and others (2002), using the methodology developed Frankel and others (1996). Algermissen and Perkins (1976) published the first probabilistic seismic hazard map of the United States which was updated in Algermissen and others (1990).1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains photovoltaic power potential (PVOUT) in kWh/kWp covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: PVOUT LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 3.6 GB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains direct normal irradiation (DNI) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: DNI LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 343.99 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- Earthquakes represent a serious threat to the people and institutions of Afghanistan. As part of a United States Agency for International Development (USAID) effort to assess the resource potential and seismic hazards of Afghanistan, the Seismic Hazard Mapping group of the United States Geological Survey (USGS) has prepared a series of probabilistic seismic hazard maps that help quantify the expected frequency and strength of ground shaking nationwide. To construct the maps, we do a complete hazard analysis for each of ~35,000 sites in the study area. We use a probabilistic methodology that accounts for all potential seismic sources and their rates of earthquake activity, and we incorporate modeling uncertainty by using logic trees for source and ground-motion parameters. See the Appendix for an explanation of probabilistic seismic hazard analysis and discussion of seismic risk. Production of the seismic hazard maps is challenging because the geological and seismological data required to produce a seismic hazard model are limited. The data that are available for this project include historical seismicity and poorly constrained slip rates on only a few of the many active faults in the country. Much of the hazard is derived from a new catalog of historical earthquakes: from 1964 to the present, with magnitude equal to or greater than about 4.5, and with depth between 0 and 250 kilometers. We also include four specific faults in the model: the Chaman fault with an assigned slip rate of 10 mm/yr, the Central Badakhshan fault with an assigned slip rate of 12 mm/yr, the Darvaz fault with an assigned slip rate of 7 mm/yr, and the Hari Rud fault with an assigned slip rate of 2 mm/yr. For these faults and for shallow seismicity less than 50 km deep, we incorporate published ground-motion estimates from tectonically active regions of western North America, Europe, and the Middle East. Ground-motion estimates for deeper seismicity are derived from data in subduction environments. We apply estimates derived for tectonic regions where subduction is the main tectonic process for intermediate-depth seismicity between 50- and 250-km depth. Within the framework of these limitations, we have developed a preliminary probabilistic seismic-hazard assessment of Afghanistan, the type of analysis that underpins the seismic components of modern building codes in the United States. The assessment includes maps of estimated peak ground-acceleration (PGA), 0.2-second spectral acceleration (SA), and 1.0-second SA, with return periods of about 500 years (equal to a 10-percent probability in 50 years), 1000 years (equal to a 5-percent probability in 50 years), and 2,500 years (equal to a 2-percent probability in 50 years)1Licence not specifiedover 1 year ago
- This dataset has been clipped from the GAR15 storm surge model by GFDRR for inclusion into ThinkHazard! The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and strom surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- over 1 year ago
- In this study we used daily run-off fields (0.5º x 0.5º) from the global hydrological model PCR-GLOBWB to calculate yearly water availability (van Beek et al., 2011; Wada et al., 2014). PCR-GLOBWB was forced using bias-corrected meteorological data (0.5º x 0.5º) as provided by the ISI-MIP project (Hempel et al. 2013) using five Global Climate Models (GCMs): GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, NorESM1-M. Climate projections used in this study are based on three representative concentration pathways (RCPs), namely RCP2.6, RCP6.0 and RCP8.5 (Taylor et al., 2012; Van Vuuren et al., 2011). The resulting daily run-off values per climate projections were aggregated into yearly totals per water province using hydrological years, necessary in this assessment since the statistical analysis requires the time-series of annual water availability to be statistically independent. Within this study we follow the approach of Ward et al (2014) using long-term mean (LTM) maximum water availability as a proxy for the distinction between two types of hydrological years: 1) standard basins (October – September); 2) basins for which the mode month of long-term monthly maximum water availability falls in September, October or November (July – June). Four time periods were selected for further analyses, namely: historic (1975-2004); 2030 (2015-2044); 2050 (2035-2064); and 2080 (2065-2094). Per water province and for each climate projection and GCM a Gamma distribution using Maximum Likelihood Estimators (MLSEs) was fitted through each of the 30-year time-series of annual water availability, whilst excluding years with zero water availability. To test the accuracy of the estimated Gamma shape and scale parameters in approximating its original water availability distribution we applied the Kolmogorov-Smirnov test, in this application also known as the Lilliefors test. P-values of ≥0.001 were used in this study as acceptable goodness-of-fit. We used the resulting ‘accurate’ Gamma parameters to estimate annual water availability, under all GCM-RCP combinations, for nine return periods, ranging from 2 years up to 1000 years, while accounting for the probability of exceedance of zero water availability. We repeated these steps to estimate GCM ensemble-mean annual water availability per water province for the different return periods, covering the four time-periods and including all climate projections.1Licence not specifiedover 1 year ago
- Coastal flood inundation layers for Indonesia. The inundation estimates were computed using a GIS-based planar approach, which uses extreme water levels from the DIVA model and a Digital Elevation Model (DEM) as inputs. Extreme water levels and inundation extends are available for return periods of 10, 100 and 1000 years. The unit of the data is inundation depth in cms. The data resolution is 30 arc seconds (approximately 1km at the equator). The data are provided in GeoTIFF raster file format ‘.tif’, with the geographic projection EPSG:4326 WGS84.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- This shapefile contains water bodies in Ivory Coast.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- This shapefile contains Democratic Republic Congo Major Rivers1Licence not specifiedover 1 year ago
- The India Lights platform shows light output at night for 20 years for 600,000 villages across India. The Defense Meteorological Satellite Program (DMSP) has taken pictures of the Earth every night from 1993 to 2013. Researchers at the University of Michigan, in collaboration with the World Bank, used the DMSP images to extract the data you see on the India Lights platform. Each point you see on the map represents the light output of a specific village at a specific point in time. On the district level, the map also allows you to filter to view villages that have participated in India’s flagship electrification program (you can read more about it here). This tremendous trove of data can be used to look at changes in light output, which can be used to complement research about electrification in the country.1Licence not specifiedover 1 year ago
- This shapefile contains perennial and non-perennial water courses in Ivory Coast.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in Chimaltenango based off satellite imagery from March 12, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005)) / Pleiades (2016) by means of manual classification processing techniques.1Licence not specifiedover 1 year ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specifiedover 1 year ago
- over 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2008) / Worldview-2: 2017) ) by means of manual classification processing techniques.1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains air temperature at 2m above ground level in °C covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: TEMP GISdata (GeoTIFF) Data format: GEOTIFF File size : 121.03 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Lake Titicaca sub-basin land use of the years 2003 and 2010; and the land use changes between these years with thirteen Land Use classes defined. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20131Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Zimbabwe. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Zambia. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Uganda. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Gambia, The. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Swaziland. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Sierra Leone. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Rwanda. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in Cote d'Ivoire with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Niger. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Mauritania. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Malawi. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Liberia. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Kenya. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Guinea Bissau. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Cote d'Ivoire. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in South Africa with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Tanzania with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Togo with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Swaziland with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Senegal with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Sudan with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Nigeria with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Niger with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Namibia with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Malawi with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Mauritius with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Mauritania with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Mozambique with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Mali with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Madagascar with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Lesotho with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Liberia with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Kenya with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Equatorial Guinea with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Guinea Bisau with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- over 1 year ago
- Infrastructure industries-including telecommunications, electricity, water, and gas-underwent massive structural changes in the 1990s. During that decade, hundreds of privatization transactions valued at billions of dollars were completed in these sectors in developing and transition economies. While privatization has received the most attention, reforms also included market liberalization, structural changes like unbundling, and the introduction of new laws and regulations. To date, regulations have received far less attention than their potential economic effects warrant, largely due to lack of data. In order to address this problem, the authors set out to compile a comprehensive and consistent dataset through an extensive survey of telecommunications and electricity regulators in developing countries. The authors describe the surveys and the resulting database. The database of telecommunications regulations includes 178 variables on regulatory governance and content in 45 countries. The database of electricity regulations includes 374 variables in 20 countries.1Licence not specifiedover 1 year ago
- Original PTHA datasets are from GeoScience Australia. Probabilistic tsunami hazard assessments (PTHA) are analogous to probabilistic seismic hazard assessment (PSHA) which is the global standard for defining ground shaking levels for building codes and carrying out earthquake risk assessments. The PTHA method can be summarised as: 1. Determine the earthquake source zones (fault lines) to be included in the study; 2. For each earthquake fault, determine the characteristics (e.g. maximum magnitude, geometry etc.) of the earthquakes that could occur on the fault and the probability of such earthquakes; 3. Simulate all possible earthquakes for each fault and the resulting tsunami. For each coastal location calculate the tsunami waveheight that would result from the tsunami generated by each earthquake; 4. Combine these results to relate the maximum tsunami amplitude at the coast with a probability that they might occur. The characteristics of each fault were determined using the highest quality data available to the assessment team. This included historical catalogues of earthquakes and tsunami, physical laws on earthquake size, assessments made during the 2010 revision of Indonesia’s seismic hazard map, and expert scientific judgement by the assessment team. Numerical computations were performed to simulate the propagation of tsunami waves from the earthquake fault to the coast. In total, 100,000 synthetic tsunami were simulated and included in the assessment from a total of thirty earthquake faults. Twenty one faults were from around Indonesia and nine were from regional and distant sources in the Indian and Pacific Oceans. Results of the simulations were used to estimate the maximum tsunami waveheight at each coastal location around Indonesia for each earthquake. Partial pre-processing of local tsunami data is required in order to take into account the tsunami run-up and inundation process onshore. A simple procedure involving wave height and ground elevation analysis has been undertaken by the ThinkHazard! team for use within the model. More information on the GeoScience Australia process can be found at http://aifdr.org/wp-content/uploads/pdf/PTHA_Report_Final_EN.pdf Details on the pre-processing method can be found in the ThinkHazard! Methodology document.1Licence not specifiedover 1 year ago
- Water quality and temperature for Lake Malawi, Lake Malombe and Lake Chilwa, derived from MERIS FR images for 2010-2011 using the proprietary WISP algorithm. These parameters are: - Chlorophyll-a (Chl-a) - Total Suspended Matter (TSM) - Colored Dissolved Organic Matter (CDOM) - Kd averaged over the spectrum (KDP) The results were resampled to a spatial resolution of 300m. Selected Water Surface Temperature (SST) data is also included here as an additional product. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 20131Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Looking back 45 years or so, progress against poverty in India has been highly uneven over time and space. It took 20 years for the national poverty rate to fall below—and stay below—its value in the early 1950s. And trend rates of poverty reduction have differed appreciably between states. This research project aimed to understand what influence economy-wide and sectoral factors have played in the evolution of poverty measures for India since the 1950s, and to draw lessons for the future. This database contains detailed statistics on a wide range of topics in India. The data are presented at the state level and at the all-India level separately. The database uses published information to construct comprehensive series in six subject blocks. Period coverage is roughly from 1950 to 1994. The database contains 30 spreadsheets and 89 text files (ASCII) that are grouped into the six subject blocks. The formats and sizes of the 30 spreadsheets vary considerably. The list of variables included: . Expenditures (distribution) . National Accounts . Prices Wages . Population . Rainfall1Licence not specifiedover 1 year ago
- over 1 year ago
- These seismic data were created by a consortium formed of Risk Engineering and Design (RED) and Evaluación de Riesgos Naturales (ERN), as part of a multi-hazard national risk assessment and risk profile development, conducted by GFDRR Innovation Labs. This contributes to GFDRR’s implementation of the Africa Disaster Risk Assessment and Financing Program, in turn part of the ACP-EU funded programme “Building Disaster Resilience to Natural Hazards in Sub-Saharan African Regions, Countries and Communities”. The probabilistic seismic hazard analysis is based on the ISC-GEM global instrumental catalog, NEIC (U.S. Geological Survey) catalog, and GCMT earthquake catalog. Ground Motion Prediction Equations appropriate to the extensional tectonic regime and stable continental areas within in the region are used, with VS30 soil amplification data. The PSHA is computed using the CRISIS2015 model. These data are created as part of a set of three countries (Ethiopia, Kenya, and Uganda).1Licence not specifiedover 1 year ago
- This dataset provides coral reef habitat mapping (detailed geomorphological zonation) and change detection maps spanning 2000-2011. First data output is: Oil spills monitored twice a week during 6 months (from July 1st to January 3rd 2011) leading to a total of 324 products (in netcdf/cdf formats along with png snapshots), including: Chlorophyll concentration, Low-Res Sea Surface Temperature, Hi-Res Sea Surface Temperature, Total Suspended Matter, Water Transparency and Significant Wave Height. Second data output is: Assessment of coral reef health and evolution focusing on four sites of interest (Aldabra, Tulear, Mayotte, Rodrigues). This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013.1Licence not specifiedover 1 year ago
- Readiness for Investment in Sustainable Energy (RISE) is a suite of indicators that assesses the legal and regulatory environment for investment in sustainable energy. This dataset contains scores for every single indicator of RISE for each country.1Licence not specifiedover 1 year ago
- The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2018 period. It is built on trade and production data collected in 208 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.1Licence not specifiedover 1 year ago
- This database contains historical temperature and precipitation data aggregated from 2-degree gridded data to the country and basin levels.1Licence not specifiedover 1 year ago
- This is one of the most comprehensive datasets on public spending in the agricultural sector in Bolivia. The data on agriculture and agriculture-related expenditures was derived from the national accounting data obtained from the Public Accounting Department of the Ministry of Economy and Public Finance of Bolivia. The data is disaggregated by function (such as research and extension, irrigation, rural roads, rural electrification, etc.), economic classification (capital and current) and level of government (central, departmental and municipal) for a period of 13 years “ from 1996 to 2008. Sub-national units of observation include the 9 Departments of Bolivia and the 327 municipalities, which in 2009 represented all the municipalities in the country.1Licence not specifiedover 1 year ago
- The factsheets contain information covering topics such as Agriculture (eg., fertilizer consumption), Biodiversity (eg., known bird species) to Environmental Health (eg., air pollution damages).1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in San Isidro based off satellite imagery from December 23, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- The overall impacts on the Brazilian economy of reducing CO2 emissions from energy use and industrial processes can be assessed using a recursive dynamic general equilibrium model and a hypothetical carbon tax. The study projects that in 2040 under a business-as-usual scenario, CO2 emissions from energy use and industrial processes would be almost three times as high as in 2010 and would account for more than half of total national CO2 emissions. Current policy aims to reduce deforestation by 70 percent by 2017 and emissions intensity of the overall economy by 36-39 percent by 2020. If policy is implemented as planned and continued to 2040, CO2 emissions from energy use and industrial processes would not have to be cut until 2035 as reductions of emissions through controlling deforestation would be enough to meet emission targets. The study also finds evidence that supports the double dividend hypothesis: using revenue from a hypothetical carbon tax to finance a cut in labor income tax significantly lowers the gross domestic product impacts of the carbon tax. Using carbon tax revenue to subsidize wind power can effectively increase the output of wind power in the country, although the impact of the tax on gross domestic product would be somewhat increased.1Licence not specifiedover 1 year ago
- Land Use / Land Cover (LULC) information product over Dhaka (Bangladesh) contains spatial explicit information about the different land covers / uses for current (2017) and past (2006) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.1Licence not specifiedover 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005)) / (Pleiades, GeoEye-1 (2015, 2010)) by means of manual classification processing techniques1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains global horizontal irradiation (GHI) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: GHI LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 268.11 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- The Rethinking Power Sector Reform in the Developing World study is based on global data as well as 17 deep dive case studies that included data on 28 utilities, 17 regulators and national power sectors. The dataset provides access to the data collected for the report including the various indices created for the report and the cost recovery analysis.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- The India Lights platform shows light output at night for 20 years for 600,000 villages across India. The Defense Meteorological Satellite Program (DMSP) has taken pictures of the Earth every night from 1993 to 2013. Researchers at the University of Michigan, in collaboration with the World Bank, used the DMSP images to extract the data you see on the India Lights platform. Each point you see on the map represents the light output of a specific village at a specific point in time. On the district level, the map also allows you to filter to view villages that have participated in India’s flagship electrification program. This tremendous trove of data can be used to look at changes in light output, which can be used to complement research about electrification in the country. About the Data: The DMSP raster images have a resolution of 30 arc-seconds, equal to roughly 1 square kilometer at the equator. Each pixel of the image is assigned a number on a relative scale from 0 to 63, with 0 indicating no light output and 63 indicating the highest level of output. This number is relative and may change depending on the gain settings of the satellite’s sensor, which constantly adjusts to current conditions as it takes pictures throughout the day and at night. Methodology To derive a single measurement, the light output values were extracted from the raster image for each date for the pixels that correspond to each village's approximate latitude and longitude coordinates. We then processed the data through a series of filtering and aggregation steps. First, we filtered out data with too much cloud cover and solar glare, according to recommendations from the National Oceanic and Atmospheric Administration (NOAA). We aggregated the resulting 4.4 billion data points by taking the median measurement for each village over the course of a month. We adjusted for differences among satellites using a multiple regression on year and satellite to isolate the effect of each satellite. To analyze data on the state and district level, we also determined the median village light output within each administrative boundary for each month in the twenty-year time span. These monthly aggregates for each village, district, and state are the data that we have made accessible through the API. To generate the map and light curve visualizations that are presented on this site, we performed some additional data processing. For the light curves, we used a rolling average to smooth out the noise due to wide fluctuations inherent in satellite measurements. For the map, we took a random sample of 10% of the villages, stratified over districts to ensure good coverage across regions of varying village density. Acknowledgments The India Lights project is a collaboration between Development Seed, The World Bank, and Dr. Brian Min at the University of Michigan. •Satellite base map © Mapbox. •India village locations derived from India VillageMap © 2011-2015 ML Infomap. •India population data and district boundaries © 2011-2015 ML Infomap. •Data for reference map of Uttar Pradesh, India, from Natural Earth Data •Banerjee, Sudeshna Ghosh; Barnes, Douglas; Singh, Bipul; Mayer, Kristy; Samad, Hussain. 2014. Power for all : electricity access challenge in India. A World Bank study. Washington, DC ; World Bank Group. •Hsu, Feng-Chi, Kimberly Baugh, Tilottama Ghosh, Mikhail Zhizhin, and Christopher Elvidge. "DMSP-OLS Radiance Calibrated Nighttime Lights Time Series with Intercalibration." Remote Sensing 7.2 (2015): 1855-876. Web. •Min, Brian. Monitoring Rural Electrification by Satellite. Tech. World Bank, 30 Dec. 2014. Web. •Min, Brian. Power and the Vote: Elections and Electricity in the Developing World. New York and Cambridge: Cambridge University Press. 2015. •Min, Brian, and Kwawu Mensan Gaba. Tracking Electrification in Vietnam Using Nighttime Lights. Remote Sensing 6.10 (2014): 9511-529. •Min, Brian, and Kwawu Mensan Gaba, Ousmane Fall Sarr, Alassane Agalassou. Detection of Rural Electrification in Africa using DMSP-OLS Night Lights Imagery. International Journal of Remote Sensing 34.22 (2013):8118-8141. Disclaimer Country borders or names do not necessarily reflect the World Bank Group's official position. The map is for illustrative purposes and does not imply the expression of any opinion on the part of the World Bank, concerning the legal status of any country or territory or concerning the delimitation of frontiers or boundaries.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- These raster files represent land cover classifications in Trinidad, Bolivia at two different time periods: March 7, 2007 and June 15, 2015. In order to better understand the changing landscape of Trinidad, imagery covering the entire city was acquired at two different time periods (2007 and 2015). These high resolution (50cm) scenes were then transformed into land cover maps using a methodology developed by Graesser et al (2012). Originally created to accurately detect shanties in major cities throughout the world, this method has been proven effective in a diverse set of cities (Kandahar, Kabul, Caracas, and La Paz). Furthermore, it has been shown to be effective at capturing land cover change in 5 primary cities in Africa by Antos et al 2016. Since its creation, it has been adopted by the US Census Bureau, US Department of Energy’s Oakridge Laboratory and The George Washington University. This semi-automated classification approach, examines the texture and structural composition of various neighborhoods, and then groups land with similar patterns into a single class. For the city of Trinidad, the images were divided into 9 distinct classes: Regular residential, Sparse residential, Flooded residential (only detected in 2005), commercial/industrial, roads, bare soil/dry grass, sand, vegetation, and water. Raster is coded by number, defined below: 1. Sparse Residential 2. Regular Residential, 3. Commercial/Industrial 4. Bare Soil/Dry Grass 5. Vegetation 6. Water 7. Sand 8. Road 9. Flooded residential (only detected in 2007)1Licence not specifiedover 1 year ago
- The global Landslide Hazard Assessment for Situational Awareness (LHASA) model is developed to provide situational awareness of landslide hazards for a wide range of users. Precipitation is a common trigger of landslides. The GPM Integrated Multi-satellitE Retrievals for GPM (IMERG) data shows recent precipitation, updated every thirty minutes. A LHASA landslide “nowcast” is created by comparing GPM data from the last seven days to the long-term precipitation record provided by the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA). Because IMERG data is only available starting in 2014, the record of historical rainfall was established by TMPA, comparing 2001-present. The TMPA rainfall probability distributions were then compared to that of IMERG and the rainfall thresholds were adjusted so that the IMERG data more closely mapped to those of the TMPA archive. The past 7 days of rainfall are considered, with each day is weighted according to their date before present, with the last twenty-four hours having the most impact. In places where precipitation is unusually high, the susceptibility of the terrain is evaluated, which includes quantitative information on if: roads have been built; trees have been cut down or burned; a major tectonic fault is nearby; the local bedrock is weak; the hillsides are steep.1Licence not specifiedover 1 year ago
- The role of developing countries is very important in dealing with global climate change because even the full elimination of developed country emissions would not avoid global warming. While the industrialized countries are urging big emitting developing countries (e.g., China, India) to enter into mandatory targets to reduce their GHG emissions, they are arguing against any quantified commitments in the near future. This issue is at the heart of the ongoing negotiations. One approach that developing countries are currently exploring is the implementation of GHG mitigation activities that do not impede their expected economic growth (i.e., pursue a strategy of low carbon economic growth) or implementation of so called win-win options for GHG mitigation. The WBG has launched studies in the six big emitting client countries (e.g., China, India, Mexico, Brazil, South Africa and Indonesia) to identify options for low carbon growth. While these studies are at different levels of development, none of these studies are expected to answer the following questions: (i) what level of GHG mitigation can these and other developing countries achieve without slowing down their expected economic growth? and how much would this mitigation contribute in meeting the ultimate objective of the UNFCCC? (ii) Even if the low carbon growth scenarios do not harm expected economic growth, how fair are they from a social perspective? Do these scenarios reduce income inequality and poverty? How would these scenarios impact low income households? (iii) If the win-win or low carbon growth scenarios do not result in significant contributions in meeting the ultimate objective of the UNFCCC, what would be economic impacts of more stringent measures to reduce GHG emissions? How would such measures impact the economic growth, income distribution and poverty? (iv) How would these results change if climate change adaptation is also taken into consideration? Answering these questions is enormously important to client countries in defining their short and long-term strategies to address the global climate change.1Licence not specifiedover 1 year ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains global irradiation for optimally tilted surfaces (GTI) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: GTI LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 300.57 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedover 1 year ago
- For the urban and peri-urban area of Dakar, two main flood scenarios have to be considered: a. Fluvial floods b. Floods triggered by rainfall stagnation after heavy local cloudbursts Scenario a.) and b.) may occur at the same time. The shapefile includes 6 extents of floods between 2009 and 2018 based on HR optical imagery and 7 extents of floods based on visual interpretation of VHR data as available in GoogleEarth.1Licence not specifiedover 1 year ago
- Land Use / Land Cover (LULC) information product over Phnom Penh (Cambodia) contains spatial explicit information about the different land covers / uses for current (2017) and past (2003) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in San Pedro Sula based off satellite imagery from March 10, 2013. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- For the urban and peri-urban area of Dakar, two main flood scenarios have to be considered: a. Fluvial floods b. Floods triggered by rainfall stagnation after heavy local cloudbursts Scenario a.) and b.) may occur at the same time. The flood hazard map was generated based on the occurrence of flood events during the past 10 years. The flood hazard classification in three qualitative hazard levels was done by summing up the flood occurences and reclassifying according to the following list: Number of events Flood Hazard Level 1 1 (low) 2-3 2 (medium) =4 3 (high) The estimation of the area threatened by tidal waves and coast erosion is based on available reports and press releases as well as on the extrapolation of the mapped difference (done by visual interpretation) of the coastline between 2003 and 20191Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in Esteli based off satellite imagery from December 7, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- This dataset provides the following parameters for Papua New Guinea: 1. Forest Cover Change map 2005-2009-2011 for Oro project area. This map shows secondary and primary forest cover, non-forest, and water, with deforestation for the periods 2005-2009 and 2009-2011. 2. Land Cover map 2011 for Oro and West New Britain project areas. These maps provide a detailed picture of key land cover types including forest, wetlands, shrubland, settlements and oil palm. 3. Roads dataset 2011 for Oro and West New Britain project areas. This dataset provides an updated road network layer for the year 2011. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedover 1 year ago
- over 1 year ago
- Health facilities in Kenya were acquired from a local consultant through the KEMRI Wellcome Trust Research Programme. These facilities were used to assess hospital preparedness based on available infrastructure data (GSM coverage, electrification, access (drive time)) and demographics (population and vulnerability to CoVID). Additionally summary statistics were generated at the ward level.1Licence not specifiedover 1 year ago
- This dataset provides Land Cover Land Use (LCLU) in Usumacinta river basin (Mexico). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedover 1 year ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specifiedover 1 year ago
- The Hydropower Plants are split into 3 categories: Existing, SNEL operated Existing, privately operated Planned1Licence not specifiedover 1 year ago
- For the Denpasar area short-term flooding close to rivers and waterways in the rainy season (November – March) is typical.The present Geodatabase includes two shp-files for rough estimation of potential flooding zones: a. Denpasar_Flood_Hazard_Rivers Waterways are taken from OSM Layer and complemented by hydrologic modelling of potential catchment areas and flow routes based on SRTM and visual interpretation of VHR data. After classification in two classes based on Stream Order the lines were buffered with 50 m and 100 m respectively to roughly estimate potential flooding zones. b. Denpasar_Flood_Reports_buff200 Point data of reported and localized urban floods (2008 – 2017) are buffered with 200 m to roughly estimate potential flooding hot-spots.1Licence not specifiedover 1 year ago
- This shapefile contains airports in Ivory Coast with detailed data on quality1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in David based off satellite imagery from May 3, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specifiedover 1 year ago
- This point shapefile shows the location and names of dams in Ghana. Data originally from the 2008 AICD report. If you have questions about this data please contact gost@worldbank.org.1Licence not specifiedover 1 year ago
- This raster file represents land cover classification in San Miguel based off of satellite imagery from November 30, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- over 1 year ago
- Fluvial flood inundation layers from the GLOFRIS global flood model. Flood inundation maps were provided for 8 return periods between 5yr and 1000yr. The unit of the data is inundation depth in meters. The data resolution is 30 arc seconds (approximately 1km at the equator). The data are provided in GeoTIFF raster file format ‘.tif’, with the geographic projection EPSG:4326 WGS84. For further information on GLOFRIS: Ward, P.J., Jongman, B., Sperna Weiland, F., Bouwman, A., Van Beek, R., Bierkens, M.F.P., Ligtvoet, W., Winsemius, H.C., 2013. Assessing flood risk at the global scale: model setup, results, and sensitivity. Environmental Research Letters, 8, 044019, doi:10.1088/1748-9326/8/4/044019. Winsemius, H.C., Van Beek, R., Jongman, B., Ward, P.J., Bouwman, A., 2013. A framework for global river flood risk assessments. Hydrology and Earth System Sciences, 17, 1871-1892, doi:10.5194/hess-17-1871-2013.1Licence not specifiedover 1 year ago
- Riverine flood hazard: The GAR 15 global flood hazard assessment uses a probabilistic approach for modelling riverine flood major river basins around the globe. The main steps in this methodology consists of: Compiling a global database of stream-flow data, merging different sources gathering more than 8000 stations over the globe. Calculating river discharge quantiles at various river sections. In another word calculating the range of possible discharges from very low to the maximum possible at series of locations along the river. The time span in the global stream-flow dataset is long enough to allow extreme value analysis. Where time series of flow discharges were too short or incomplete, they were improved with proxy data from stations located in the same “homogeneous region.” Homogeneous regions were calculated taking into account information such as climatic zones, hydrological characteristics of the catchments, and statistical parameters of the streamflow data. The calculated discharge quantiles were introduced to river sections, whose geometries were derived from topographic data (SRTM), and used with a simplified approach (based on Manning’s equation) to model water levels downstream. This procedure allowed for the determination of the reference Flood hazard maps for different return periods (6 are shown in the global study: T= 25, 50, 100, 200, 500, 1000 years). The hazard maps are developed at 1kmx1km resolution. Such maps have been validated against satellite flood footprints from different sources (DFO archive, UNOSAT flood portal) and well performed especially for the big events For smaller events (lower return periods), the GAR Flood hazard maps tend to overestimate with respect to similar maps produced locally (hazard maps where available for some countries and were used as benchmark). The main issue being that, due to the resolution, the GAR flood maps do not take into account flood defences that are normally present to preserve the value exposed to floods. This can influence strongly the results of the risk calculations and especially of the economic parameters. In order to tackle this problem some post processing of the maps has been performed, based on the assumption that flood defences tend to be higher where the exposed value is high and then suddenly drop as this value reduces. The flood hazard assessment was conducted by CIMA Foundation and UNEP-GRID. The flood maps with associated probability of occurrence, is then used by CIMNE as input to the computation of the flood risk for GAR15 as Average Annual Loss values in each country. Hazard maps for six main return periods are developed and available, and probable maximum loss calculations are underway which will be available within few months of GAR15 launch. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). More information about the flood hazard assessment can be found in the background paper (CIMA Foundation, 2015).1Licence not specifiedover 1 year ago
- For the Semarang area generally two types of floods are typical and have to be taken into account accordingly: a. Tidal floods in coastal areas due to land subsidence Rates ranging from 1 to 17 cm/year. These results are confirmed by the recent InSAR subsidence calculation based on Sentinel 1 Radar Data performed by JR within the frame of this project. b. Short-term local floods and river floods after heavy thunderstorms. The present Geodatabase includes 12 stages of coastal water extent between 1995 and 2017 to demonstrate the increase of flooded areas.1Licence not specifiedover 1 year ago
- over 1 year ago
- The rainfall data are obtained from Vietnam's HydroMeteorological Data Center, and cover daily observations from 172 weather stations. Most of them were actively operated through out the period 1975-2006. The list of weather stations with GIS coordinates is also provided.1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Plan data collected and prepared for a project of the World Bank Group in July 2016. Includes existing transmission network only. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedover 1 year ago
- This database provides estimates for the amount of pollution (load) produced from a unit of production (in this case, indicated by employment) by specific industry sectors and by firms within particular size categories. The pollution intensities are for the following pollutants: particulates (PT); sulphur oxide (SOX); carbon monoxide (CO); nitrogen oxide (NOX); hydrocarbons (HC). This dataset has been produced by DECRG-IE of the World Bank in collaboration with Mexico’s Instituto Nacional de Ecologia (INE), using a database they provided, the Sistema Nacional de Informacion de Fuentes Fijas. The units of measurement for employment intensities are tons per employee. The pollution intensities are at 2 and 3-digit ISIC (version 2) levels. Additional datasets were calculated for firms of various size (small, medium, large). Small firms are defined as having employment at twenty or less. Medium firms are defined as having employment between 21 and 100. Large firms have employment over 100. The sample size for intensities by firm size was: small firms 2,346, medium firms 2,143, large firms 1,310. Preliminary analysis of results revealed an outlier problem. Therefore, the top twenty-five polluters were deleted from the overall dataset, and the top ten polluters from each plant-size category were removed, before calculation of pollution intensities. This dataset was revised on 11/17/97. The 2 and 3 digit results were changed to make them consistent with the results for the size categories by removing the top 10 polluters from each category. Please make sure that you are using data marked 11/17/97.1Licence not specifiedover 1 year ago
- This record contains the tabular data (xlsx) and poster maps that accompanies the information provided in the the WBG report published in October 2019 titled, "Going Global: Expanding Offshore Wind to Emerging Markets", linked below. Following on from the report, the same methodology was used to generate maps for all WBG client countries with a coastline and with offshore wind resource. Some regional maps (Caribbean Islands, Caspian Sea, Black Sea) were also generated. In some cases maps were generated to illustrate the absence of any resource, to support discussions with clients. All outputs arr published on the World Bank website and collated on the ESMAP website: https://esmap.org/offshore-wind. This dataset contains tabular information on wind speed and water depth categories for floating and fixed offshore wind in WB client countries that have viable technical potential. Links to the individual country PDF maps can also be accessed below.1Licence not specifiedover 1 year ago
- over 1 year ago
- The dataset contains the location of Ethiopia / Somalia interconnection lines.1Licence not specifiedover 1 year ago
- The 2011 Census Forward Sortation Area (FSA) Boundary File depicts the boundaries of 1,621 forward sortation areas (identified by the first three characters of the postal code) derived from postal codesOM captured from the 2011 Census of Population questionnaires.Through analysis of the postal codesOM reported by census households, a single FSA was assigned to each dissemination block based on the most frequently reported FSA for the dissemination block. Unreported dissemination blocks were assigned an FSA based on proximity to reported dissemination blocks in the same province or territory or nearest Canada Post Corporation delivery installation.The 2011 Census FSA Boundary File provides a framework for mapping and spatial analysis. It is available in two types: cartographic and digital. The cartographic boundary file depicts the 2011 FSAs with the shoreline of the major land mass of Canada and its coastal islands. The digital boundary file depicts the full extent of the 2011 FSAs, including the coastal water area.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- The product over Abidjan (Ivory Coast) contains spatial explicit information about transport network and its typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Data repository for measurements from 9 automated solar stations in Pakistan. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 10 minute average values for solar radiation levels, temperature, air pressure and wind speed. From 2018 onward, the measurement stations are being operated by the Government of Pakistan, together with NREL and USAID. For more information and additional outputs, please visit: https://esmap.org/node/3058. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan-Solar Radiation Measurement Data, 2017,1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. Part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases. Additional information can be found on the GitHub page: https://github.com/worldbank/EPM1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group Privatization of the Power Distribution System Operator (OSSH) Partial Risk Guarantee in Albania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P112242/privatization-power-distribution-s...1Licence not specifiedover 1 year ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedover 1 year ago
- Data repository for measurements from 2 lidar devices in the Maldives. Please refer to the country project page for additional outputs and reports, including installation reports: http://esmap.org/re-mapping/maldives. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group ELECTRICITY SUPPLY RELIABILITY PROJECT in Armenia. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more about the project, please visit http://projects.worldbank.org/P116748/electricity-supply-reliability-pro...1Licence not specifiedover 1 year ago
- The existing (2015) and planned transmission network for Afghanistan including lines above 110 kV. Digitization based on the Afghan Energy Information Center (AEIC) maps available in March 2015.1Licence not specifiedover 1 year ago
- Main nodes and major lines of the electricity transmission network of Bahrain. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EWA).1Licence not specifiedover 1 year ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Papua New Guinea. For more information please visit the country webpage: https://www.esmap.org/re-mapping/papua-new-guinea1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. Part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Data repository for measurements from 17 wind masts in Ethiopia. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/node/55920 For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Access UN COMTRADE including exports, re-exports and re-imports in Harmonized System (HS) and Standard Industrial Trade Classification (SITC). Convert into derived nomenclatures like ISIC, SIC, MTN, NACE, GTAP, BEC and more. Aggregate Trade Indicator to analyze a country's export competitiveness. Perform GVC analysis for country, region, intra-region and product of interest.1Licence not specifiedover 1 year ago
- Land Use/Land Cover Mapping including water bodies, rivers and streams, for St. Lucia, Grenada, and St. Vincent and the Grenadines. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specifiedover 1 year ago
- Ground measured solar irradiation and meteorological data for Makunduchi.1Licence not specifiedover 1 year ago
- These shapefile contains polylines that represent the coastline of Sri Lanka.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices.1Licence not specifiedover 1 year ago
- The Mining Investment and Governance Review (MInGov) analyzes the sector and its context to facilitate work on mining regulation, governance and investment. By June 2016, MInGov will have completed and published assessments of nine countries using a consistent, measurable, comparable and actionable methodology. These country assessments will include seven in Africa, one in Latin America and one in Asia.1Licence not specifiedover 1 year ago
- This product provides information on the actual evapotranspiration (ET) on a coarse scale for the entire African Horn on the daily scale. The estimates are based on data from the Meteosat Second Generation SEVIRI sensor as well as some ancillary meteorological data. The ET estimates are produced by the Land Surface Analysis – Satellite Application Facility (LSA SAF) hosted at the Portuguese Met-service.1Licence not specifiedover 1 year ago
- Rainfall trend in Burkina Faso at 5 km resolution from 2000-20171Licence not specifiedover 1 year ago
- Main nodes and major lines of the electricity transmission network of Yemen. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Polygonal dataset describing irrigations sites across Nigeria; however, no additional information besides location is provided1Licence not specifiedover 1 year ago
- over 1 year ago
- Data collected and prepared for a project of the World Bank Group Privatization of the Power Distribution System Operator (OSSH) Partial Risk Guarantee in Albania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P112242/privatization-power-distribution-s...1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Mali. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in Central African Republic with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Gabon. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Congo, Dem. Rep.. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Central African Republic. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Cameroon. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Burundi. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Angola. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in Zambia with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Uganda with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Burkina Faso with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Chad with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Sierra Leone with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Benin with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- This dataset is the result of a Kriging interpolation of the 123 Survey in 2012 of the water access rates in COD.1Licence not specifiedover 1 year ago
- Data for power plants in Guinea with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Cape Verde with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for power plants in Angola with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo The geospatial planning exercise examined the least cost options for grid extension, off-grid supply and distributed energy solutions in Congo based on three scenarios.1Licence not specifiedover 1 year ago
- Tropical Cyclonic Wind and Storm Surge hazard The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and strom surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.1Licence not specifiedover 1 year ago
- Data for power plants in Burundi with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Yearly sum of biomass production Burkina Faso at 30m resolution in 20171Licence not specifiedover 1 year ago
- Data repository for measurements from 6 meteorological stations in Zambia. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, wind speed, atmospheric pressure and precipitation. Delivered files: Solar-Measurements_Zambia_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Zambia_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Zambia_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Zambia_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Zambia_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: https://www.esmap.org/ For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Zambia-Solar Radiation Measurement Data, 2017,1Licence not specifiedover 1 year ago
- This dataset provides five flood scenarios for Greater Dhaka Area, with estimates of location-specific depth and duration of inundation, for extreme rainfall event in 2050. Intense rainfall floods Dhaka, Bangladesh, one of the world’s fastest-growing megacities, year in and year out. Low-lying flood plains, rivers, and canals that once drained water are gradually filling up as a result of indiscriminate urbanization, and now magnify, rather than help solve the problem. The climatic outlook for South Asia in the 21st century signals heavier and more erratic rainfall during the monsoon season, according to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change and the World Meteorological Organization. Thus, climate change may further aggravate Dhaka’s flood vulnerability. Dhaka needs to better manage its flood drainage infrastructure and strengthen the city’s climate-disaster resilience and adaptive capacity. But climate-smart policies require local planners to better understand the likely damage from current flooding, potential damage from climate-related risks, measures that can be taken to cope with current and future flooding as well as adaptation costs. In an effort to enhance such understanding and to provide input to development of adaptation policies, this research estimated location-specific depth and duration of inundation from extreme rainfall events by 2050 with or without climate change, discussed structural adaptation measures to cope with current and future flooding, evaluated the reduction in inundation resulting from implementing these measures, and estimated adaptation cost. Depth and duration of inundation in Greater Dhaka Area from extreme rainfall events by 2050 with or without climate change under different scenarios at ward/ thana-level have been summarized in the Excel Workbook “Urban Flooding of Greater Dhaka in 2050” Detailed Study Area: The dataset covers Greater Dhaka Area: Eastern Dhaka, Western Dhaka-Goranchatbari, Western Dhaka-Kallyanpur, Central Dhaka, Old Dhaka, DND and Narayanganj. As flooding is a periodic problem in Dhaka, the city can be said to already have an adaptation deficit even without climate change. The analysis therefore addressed the issue from both current and future climate perspectives. **Future (2050) Rainfall Extreme Scenarios: ** Dhaka experienced 341mm rainfall in 24 hours in September 2004; and this historic extreme rainfall was taken as the current climate baseline in the underlying analysis. For the future, the underlying analysis considered a 16 percent increase in extreme rainfall in a changing climate by 2050. Assumptions about the Future: As any change in land use has implications for the percentage of built-up area, and therefore drainage of the storm water, the analysis assumed that future land cover would change according to the RAJUK’s Detailed Action Plan (DAP). For drainage, the analysis assumed that all improvements to Dhaka’s drainage infrastructure, both planned and proposed by the relevant drainage-system authority, would be implemented. Five Alternative Scenarios: Estimates of location-specific depth and duration of inundation were estimated for extreme rainfall event in 2050 for following five scenarios: Scenario1: 341mm rainfall in 24 hours As timing and magnitude of climate change is somewhat unknown, ward/thana-level inundation depth and duration for 2050 were generated for the baseline rainfall event without consideration of any climate change. The analysis accounts for expected socioeconomic changes and planned changes in the land use pattern as well as drainage infrastructure. Scenario 2: 341mm rainfall in 24 hours without adaptation deficit The estimates of inundation from scenario1 were discussed with the local experts and based on their recommendations a set of potential adaptation measures for example increase in pump capacity, sludge cleaning, laying of new drainage pipes, deepening existing water bodies was designed and incorporated in hydrological modeling. The modeling was repeated with different capacities of pumps etc. until a desirable depth and duration of inundation for each study region was attained. Scenario 3: 396mm rainfall in 24 hours Ward/thana-level estimates of inundation depth and duration were generated for the changing climate in 2050 taking into account climate change using a potential 16 percent increase in extreme rainfall as a factor as well as accounting for expected socioeconomic changes, planned changes in the land use pattern and drainage infrastructure. Scenario 4: 396mm rainfall in 24 hours without adaptation deficit Implications for flooding were estimated in a changing climate after current climate adaptation deficit is met. Scenario 5: 396mm rainfall in 24 hours without adaptation deficit and with adaptation for climate change Implications for a set of adaptation measures suggested by local experts to deal with climate change were estimated. These estimates are from the three-step hydrological modeling component of the study. The first modeling step simulated basin-level flows from the Brahmaputra River in the Ganges-Brahmaputra-Meghna River system since they strongly influence monsoon-season river flows and water levels in the Greater Dhaka area. In the second step, the effects of climate change on the regional rivers were simulated. Finally, in the third step, detailed modeling of the drainage system in and around Dhaka city was simulated. The analysis centered on the worst-case scenario in which river levels are high and all sluice gates are closed. Therefore, there is no gravity drainage out of the city and the drainage system depends primarily on the performance efficiency of drainage pumps, which is often the case during intense rainfall. For Western Dhaka-Old Dhaka, Central Dhaka, Kallyanpur, and Goranchatbari—the impacts of climate change on river flooding were not considered in the analyses as this main part of the city is protected by flood embankments on all sides. See Urban Flooding of Greater Dhaka in a Changing Climate- Building Local Resilience to Disaster Risk: chapters 2, 3 and 6 for details. These estimates were prepared by Asif Zaman, World Bank Consultant and Water Resources and DSS Specialist, Institute of Water Modeling. The study was conducted under the World Bank-supported study on Urban Flooding of Greater Dhaka in a Changing Climate: Potential Damage and Adaptation (Task team Leader: Susmita Dasgupta). The study team gratefully acknowledges the financial support provided by the Bangladesh Climate Change Resilience Fund (BCCRF) a multi-donor trust fund supported by the governments of the United Kingdom, Denmark, Sweden, Switzerland, Australia, the United States, and the European Union. Lead Researcher: Dr. Asif Zaman1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo The geospatial planning exercise examined the least cost options for grid extension, off-grid supply and distributed energy solutions in Congo based on the scenarios outlined above. The consultant identified 11 mini-hydro projects that could be developed both to electrify rural communities on an off-grid basis as well as potential sites for grid injection1Licence not specifiedover 1 year ago
- Data repository for measurements from a wind measurement station with a lidar in Bangladesh. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/re-mapping/bangladesh. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/1Licence not specifiedover 1 year ago
- The dataset contains Population and Household statistics for the years 2009 and 2016 as well as the enumeration areas.The dataset was provided by Kenya National Bureau of Statistics (KNBS).1Licence not specifiedover 1 year ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Pakistan. For more information please visit the country webpage: https://www.esmap.org/node/30581Licence not specifiedover 1 year ago
- Land Use / Land Cover (LULC) information product over Abidjan (Ivory Coast) contains spatial explicit information on different land use and land cover occurring in the Larger Urban Area and Core City Area of the City of Abidjan for past (2005) and current (2018) dates. The Larger Urban Area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban Area was Ikonos (2005) and Sentinel-2 (2019). The Core City Area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core City Area was the Very High Resolution (VHR) data of Ikonos (2005) and WorldView-2 (2018/2019)..1Licence not specifiedover 1 year ago
- over 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Data repository for measurements from 3 wind masts in Papua New Guinea. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including installation reports: https://www.esmap.org/re-mapping/papua-new-guinea For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedover 1 year ago
- Overview: Global results from gridfinder model, produced by ESMAP based on joint work with Facebook and others. Uses night-time lights, road networks and existing grid network data to predict the location of transmission and distribution lines globally. Validated in several countries with ~70% accuracy at 1 km. More information: Blog with brief overview: https://blogs.worldbank.org/energy/using-night-lights-map-electrical-gri... Full research paper: https://www.nature.com/articles/s41597-019-0347-4 Visualization: https://gridfinder.org/ The following data are included: grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column targets.tif: Binary aster showing locations predicted to be connected to distribution grid. lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell.1Licence not specifiedover 1 year ago
- The datasets are curated from the Tanzania National Bureau of Statistics (NBS) 2012 Population and Housing Census (PHC) of Tanzania which was preceded by the preparatory geographic work, which involved field visiting of all regions, districts, wards/shehia, villages/mitaa, localities and sub-villages in the country, primarily to create and delineate Enumeration Area boundaries (EAs) so as to produce maps required for census operations. The most important principle followed in delineating an EA was that under no circumstance should an EA overlap the existing administrative boundaries of regions, districts, wards/shehia or villages/mitaa. Adherence to this principle was necessary since the census results were to be presented at the level of these administrative units. The National Bureau of Statistics (NBS) intends to provide a geo-database with spatial and non-spatial information at five levels of geography, to facilitate presentation of data from censuses and other surveys. These levels are regional (level one), district (level two), ward/shehia (level three), villages/mitaa (level four) and enumeration areas (level five). Levels one and two have been put onto the NBS website in June, 2013 for use by various stakeholders, and the web-page will be updated to include other levels of shapefiles when they are ready for use. To learn more, please visit website https://sensa.nbs.go.tz/1Licence not specifiedover 1 year ago
- Regulatory Indicators for Sustainable Energy (RISE) is a comprehensive policy scorecard assessing the investment climate for sustainable energy and focusing on three key areas: energy access, energy efficiency and renewable energy. RISE covers 111 countries across the developed and developing worlds, which together represent over 90% of global population, GDP and energy consumption. With 28 indicators, 85 sub-indicators and 158 data points per country, RISE helps policy makers to understand how they are doing, compare across countries, learn from peer groups, and identify priority actions for the future. The source data and documents for 111 countries are available at http://rise.worldbank.org/library To learn more, please visit http://rise.worldbank.org/1Licence not specifiedover 1 year ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedover 1 year ago
- The dataset contains the geo-location info, name and type of the health facilities in Zambia. The data is created by Zambia central statistical office, and curated from the Southern African Human-development Information Management Network (SAHIMS) static archive server https://web.archive.org/web/20070322051956/http://www.sahims.net/gis/GIS%20input/GIS_Library_Regional.asp To view metadata, please visit https://web.archive.org/web/20070322051956/http://www.sahims.net/gis/GIS%20input/GIS_Library_Regional.asp1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- The following surveys were carried out: • GIS mapping of bus routes, carried out by survey staff travelling bus routes with GPS enabled phones, using GPS Essantials The objective of these surveys was to develop a comprehensive picture of the urban transport sector, including, on the supply side, the financing and provision of vehicles and the incomes in the sector, and on the demand side, the needs of passengers and identification of the level of the number of passengers on different routes. The first phase of data gathering was in May 2019. This was entirely within Ramadan, which naturally throws off ordinary travel patterns. During this phase, only data on route geography was gathered, not on frequencies or capacities. Passenger responses may also have been skewed compared to a typical month. A second set of data was gathered in October (a more typical period), and it is on this phase of data gathering that the frequencies and capacities of routes are based on. GIS data on routes was processed and analysed using ArcMap. Data was gathered as location ‘pings’, which were processed into lines. These were in turn compiled into routes, based on matching the lines to the street network on Open Street Map. Some judgment and debate among the survey staff was used to resolve what constitutes a ‘route’. Some routes are circular, while others make a loop at the end. Some return trips are also carried out in a single beat by the vehicle, with no halt at the end. Passengers may or may not be expected to disembark, and/or to pay for another trip, depending on where they boarded. Different routes also have some variability in the streets they take, and others fully overlap longer routes. There was an attempt to capture all routes in the city, but given the level of manpower and time frame, this may have only been partially achieved. The mutability of routes and their proliferation mean that, while we believe we captured all major destinations, there may well be precise routes that are not captured. This is particularly the case in Balbala, where routes are served by rickshaws and 8-seat Bajaj vehicles, which have a great deal of flexibility and can be difficult to separate from taxi routes.1Licence not specifiedover 1 year ago
- This shapefile contains polylines that represent all water courses in Central African Republic 2002-20031Licence not specifiedover 1 year ago
- Simple shapefile containing the spatial extent of the Shire River Basin1Licence not specifiedover 1 year ago
- Power Stations in Africa 2012 Created in 2012 from unknown source.1Licence not specifiedover 1 year ago
- Spatial distribution of the Next Generation Networks (NGN) white villages in which there is less than 30Mbps fixed broadband connection (regardless if a mobile 3G+ network is present or not).1Licence not specifiedover 1 year ago
- Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.1Licence not specifiedover 1 year ago
- Federal (2020) and State (2018) highways of Brazil.1Licence not specifiedover 1 year ago
- over 1 year ago
- The dataset contains primary substations in Kenya. The dataset was provided by Kenya Power and Lighting Company (KPLC).1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This data comes from Burundi Reseau Electrique National, REGIDISO, with additional data from a World Bank project in 2007.1Licence not specifiedover 1 year ago
- Survey data from Mexico, 1995, which provides detailed information on environmental performance and determinants, including plant, firm and market characteristics, pollution control costs, relationships with regulators, and measures to improve environmental performance. All plant and respondent identities were kept confidential. The data and survey document are all contained in the zip file. As preparation for their research paper on "What Improves Environmental Performance? Evidence from Mexican Industry," Susmita Dasgupta, Mala Hettige and David Wheeler used survey evidence to analyze the effects of regulation, plant-level management policies, and plant and firm characteristics on environmental performance in Mexican factories. They focused especially on management policies: the degree of effort to improve environmental performance and the type of management strategy adopted. The survey, conducted in the fall of 1995, focused on the food, chemicals, non-metallic minerals and metals sectors, which account for 75 percent to 95 percent of Mexico’s total industrial pollution. 236 facilities in the survey were chosen as representative of Mexican factories as defined by sector, size and location. The survey was designed by a World Bank team, conducted by the Monterrey Institute of Technology, and supported by the Mexico National Environment Ministry (SEMARNAP) and the Mexican National Association of Industries. The survey provides detailed information on performance and determinants, including plant, firm and market characteristics, pollution control costs, relationships with regulators, and measures to improve environmental performance. All plant and respondent identities were kept confidential. It is important to note the information derived from the survey was self-reported. No independently audited data on pollution and regulatory compliance was associated with the survey. Finally, with confidentiality assured, 49 percent of survey respondents admitted non-compliance with regulations. With no benchmarks, only educated guesses can be made about the degree of upward bias. Evidence from Indonesia, a country with similar regulations but weaker monitoring and enforcement, revealed a non-compliance rate of 64 percent. This suggests that the degree of upward bias in the Mexican self-assessment may be small. In any case, our analysis for this research focuses on relative, not absolute, performance.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Building locations were collected as points for Kinshasa and North Ubangi as part of a survey design for electrification monitoring.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- The Mining Investment and Governance Review (MInGov) analyzes the sector and its context to facilitate work on mining regulation, governance and investment. By June 2016, MInGov will have completed and published assessments of nine countries using a consistent, measurable, comparable and actionable methodology. These country assessments will include seven in Africa, one in Latin America and one in Asia.1Licence not specifiedover 1 year ago
- This dataset shows water bodies in Africa including lakes, reservoir, and lagoon. Data is curated from RCMRD Geoportal. The Regional Centre for Mapping of Resources for Development (RCMRD) was established in Nairobi – Kenya in 1975 under the auspices of the United Nations Economic Commission for Africa (UNECA) and the then Organization of African Unity (OAU), today African Union (AU). RCMRD is an inter-governmental organization and currently has 20 Contracting Member States in the Eastern and Southern Africa Regions; Botswana, Burundi, Comoros, Ethiopia, Kenya, Lesotho, Malawi, Mauritius, Namibia, Rwanda, Seychelles, Somali, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Uganda, Zambia and Zimbabwe. To learn more about RCMRD, please visit http://www.rcmrd.org/1Licence not specifiedover 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007 / 2018)) by means of manual classification processing techniques.1Licence not specifiedover 1 year ago
- The World Bank, ESMAP and KTH Division of Energy Systems Analysis have developed National High Resolution Dynamic Least Cost Options Plan for Universal Access to Electricity in Nigeria, Tanzania and Zambia. The web-based open source application presented here allows the users to select scenarios based on electricity consumption targeted (Tiers of access) and spatially related fuel costs towards identifying the least cost electrification technology for every settlement at a 1 by 1 km resolution.1Licence not specifiedover 1 year ago
- Digital Elevation Model (DEM) at 20m and precise DEM at 0.5m for the catchments of Kelani Ganga and Attanagalu Oya. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedover 1 year ago
- The dataset provides water pollution intensities for Chemical Oxygen Demand (COD) and Total Suspended Solids (TSS); air pollution intensities for dust, smoke and sulphur dioxide (SO2). The units of measurement for value of output are kilograms per 1000/RMB Yuan. The pollution intensities are at the 2-,3-, and 4-digit ISIC level. These industrial pollution intensities have been produced by the "Economics of Industrial Pollution Control" team of DECRG in the World Bank using the China Environment Yearbooks for 1992, 1994, and 1996. These yearbooks were produced by China’s State Environmental Protection Administration (SEPA).1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This dataset contains Volcanic Hazard Level for proximal volcanic hazards (e.g., pyroclastic flows, lahars, lava). Volcanic Hazard Level is derived from the Smithsonian Institution Global Volcanism Program (GVP) volcano dataset, GVP eruption dataset, and the British Geological Survey LaMEVE (Large Magnitude Explosive Volcanic Eruptions) database. These data provide volcano location, maximum volcanic explosive intensity (VEI), and dates of previous eruption. Date of last eruption and maximum VEI are used to generate the Volcanic Hazard Level, which is assigned to the area within 100km radius of the volcano. This dataset does not include data for hazard from volcanic ash.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This data shows Burkina Faso 13 regions and 45 districts boundary. The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset/burkina-faso-administrative-boundaries1Licence not specifiedover 1 year ago
- "This points shapefile represents the location of the cruise ports in Jamaica and intensity of visitation. This dataset was created on 24th April 2003 and represents all cruise ports in the Wider Caribbean and the number of calls by cruise ships that are scheduled between 1st May 2003 and 1st May 2004. Cruise ships alter their ports of call from year to year and there are other destinations that have not been included in this dataset, as no ships are scheduled. The base dataset for port locations was the NIMA, World Port Index-Publication 150, 2002. Other locations were georefernced at WRI by digitized onscreen using World Vector Shoreline as the reference. "1Licence not specifiedover 1 year ago
- Spatial distribution of the Next Generation Networks (NGN) white villages in which there is no provider of fixed broadband connection (regardless if a mobile 3G+ network is present or not).1Licence not specifiedover 1 year ago
- over 1 year ago
- over 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- This shapefile contains national parks in Ivory Coast.1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group Power Transmission Project in Azerbaijan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://documents.worldbank.org/curated/en/965571468219011886/Azerbaijan-...1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- over 1 year ago
- Monthly biomass production Burkina Faso at 30m resolution in 20171Licence not specifiedover 1 year ago
- Report that contains energy efficiency and Non-revenue-Water target data in Shenyang, Anshan, Fushun, Fuxin and Gaizhou water companies in Liaoning Province, China.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Location of electrical sub-stations in Afghanistan as in 2015. Digitization based on Afghan Energy Information Center (AEIC) maps, developed in March 2015.1Licence not specifiedover 1 year ago
- The location of arthisanal mining sites was obtained from the IPIS, more information here: https://ipisresearch.be/home/maps-data/maps-of-drc/1Licence not specifiedover 1 year ago
- This raster file represents a land cover classification in La Ceiba based off satellite imagery from November 11, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...1Licence not specifiedover 1 year ago
- over 1 year ago
- Data collected and prepared for a project of the World Bank Group Power Transmission Project in Azerbaijan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://documents.worldbank.org/curated/en/965571468219011886/Azerbaijan-...1Licence not specifiedover 1 year ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group ELECTRICITY SUPPLY RELIABILITY PROJECT in Armenia. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more about the project, please visit http://projects.worldbank.org/P116748/electricity-supply-reliability-pro...1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group Modernization and Upgrade of Transmission Substations project in Uzbekistan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P156584/?lang=en&tab=overview1Licence not specifiedover 1 year ago
- over 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo The geospatial planning exercise examined the least cost options for grid extension, off-grid supply and distributed energy solutions in Congo based on the scenarios outlined above. The consultant identified 6 biomass projects that could be developed both to electrify rural communities on an off-grid basis as well as potential sites for grid injection1Licence not specifiedover 1 year ago
- Wind Measurement Data from the World Bank funded project "Vietnam Wind Resource Assessment", recorded from 3 sites (Phang Rang, Phan Thiet, Plei Ku) between 12.2008 and 02.2009. Please refer to the country project page for additional outputs and reports, including installation reports: https://www.esmap.org/re-mapping/vietnam. For access to maps and GIS layers, please visit the Global Wind Atlas: http://globalwindatlas.info/1Licence not specifiedover 1 year ago
- Main nodes and major lines of the electricity transmission network of Algeria. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (SGTE).1Licence not specifiedover 1 year ago
- The Global Electrification Platform (GEP) is an open-access, open-resource, online platform that explores options for achieving universal electrification for the countries with greatest electrification deficits globally. Entire dataset, documentation, and application can be found here https://electrifynow.energydata.info/.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Operating power plants in Afghanistan as in 2016. Digitization based on Afghan Energy Information Center (AEIC) maps.1Licence not specifiedover 1 year ago
- "The Africa Power–Mining Database 2014 shows ongoing and forthcoming mining projects in Africa categorized by the type of mineral, ore grade, size of the project. The database draws on basic mining data from Infomine surveys, the United States Geological Survey, annual reports, technical reports, feasibility studies, investor presentations, sustainability reports on property-owner websites or filed in public domains, and mining websites (Mining Weekly, Mining Journal, Mbendi, Mining-technology, and Miningmx). Comprising 455 projects in 28 SSA countries with each project’s ore reserve value assessed at more than $250 million, the database collates publicly available and proprietary information. It also provides a panoramic view of projects operating in 2000–12 and anticipated demand in 2020. The analysis is presented over three timeframes: pre-2000, 2001–12, and 2020 (each containing the projects from the previous period except for those closing during that previous period)."1Licence not specifiedover 1 year ago
- This majority of this data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. Additional updated data for 2017 from ECREEE transmission network for West Africa, online at ECOWREX1Licence not specifiedover 1 year ago
- This dataset has been clipped from the GAR15 storm surge model by GFDRR for inclusion into ThinkHazard! The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and strom surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- This shapefile contains the airports in Central African Republic.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. Part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This research, designed by the World Bank, and supported by the Department for International Development (DFID), aims to highlight the unprecedented transformation of the urban systems in the ECA region in the last decades, and to look at this shifts from the demographic, economic, and spatial prospectives. Cities in ECA database comprises data from 5,549 cities in 15 countries of the Eastern Europe and Central Asia region, as defined by the World Bank Group, and from the United Kingdom and Germany. Database information for each city is in three dimensions: demographic, spatial, and economic. The starting point to construct the Cities in ECA database was to obtain from each of the countries the list of official cities and these cities' population data. Population data collected for cities falls on or around three years: 1989, 1999, and 2010 (or the latest year available). The official list of "cities" was geo-referenced and overlaid with globally-available spatial data to produce city-level indicators capturing spatial characteristics (e.g., urban footprint) and proxies for economic activity. City-level spatial characteristics, including urban footprints (or extents) for the years 1996, 2000, and 2010 and their temporal evolution, were obtained from the Global Nighttime Lights (NTL) dataset. City-level proxies for economic activity were also estimated based on the NTL dataset. Nighttime Lights (NLS) data is produced by the Defense Meteorological Satellite Program (DMSP) Optical Line Scanner (OLS) database and maintained by the National Oceanic and Atmospheric Administration (NOAA).1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005) and Worldview-2, GeoEye-1 (2015, 2016)) by means of manual classification processing techniques.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Zambia. For more information please visit the country webpage: https://www.esmap.org/re-mapping/zambia1Licence not specifiedover 1 year ago
- In 2022, the ESMAP Gender and Energy Program and RISE created a database on gender-related indicators relevant to the energy sector. The energy sector plays a critical role in promoting gender equality, as access to energy, both electricity and clean cooking, has a direct impact on women's economic empowerment, poverty reduction and shared prosperity. There remains a lack of comprehensive and up-to-date data and information on gender-related indicators in the energy sector, making it challenging to understand the magnitude of gender gaps, monitor progress on program implementation and inform future policy decisions. This database has been created to address this. The database includes up-to-date data on energy access, women’s representation in the energy sector, women’s human endowments that impact and are impacted by energy access, gender-responsive policies in the energy sector, among others, for 217 countries.1Licence not specifiedover 1 year ago
- Data for power plants in Cameroon with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Travel time to the nearest town of 50,000 people. Spatial resolution 0.014 degrees. Source: Joint Research Center EU1Licence not specifiedover 1 year ago
- This data covers electricity transmission network in Botswana. It comes from the BPA (Bonneville Power Administration) 2006 Annual Report, supplemented by data from ESKOM (Electricity Supply Commission). It Includes existing and planned lines down to 33 kV.1Licence not specifiedover 1 year ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedover 1 year ago
- Data for power plants in Congo, Dem. Rep. with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Ethiopia. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Cape Verde. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in Botswana with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Burkina Faso. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Benin. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedover 1 year ago
- Data for power plants in Zimbabwe with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Nepal. For more information please visit the country webpage: https://www.esmap.org/re-mapping/nepal1Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- Data repository for measurements from 8 wind masts in Zambia. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including installation reports: https://www.esmap.org/re-mapping/zambia. For access to maps and GIS layers, please visit the Global Wind Atlas: http://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedover 1 year ago
- Data collected and prepared for a project of the World Bank Group Power Transmission Project in Azerbaijan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://documents.worldbank.org/curated/en/965571468219011886/Azerbaijan-...1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- Data extracted from World Bank TRACE Report Nairobi 2014. Data are for year 2013. Citation: Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities.1Licence not specifiedover 1 year ago
- This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options Synoptic analysis of low-cost electrification solutions in Congo1Licence not specifiedover 1 year ago
- List of largest floating solar PV plants globally, prepared by Solarplaza and made available through http://www.solarassetmanagement.us/. Last updated November 2016 More information, and background article available at http://www.solarassetmanagement.us/download-floating-plants-overview/ Disclaimer: This overview is provided by Solarplaza International BV ("Solarplaza") as a service to its customers on an "as-is, as-available" basis for informational purposes only. Solarplaza assumes no responsibility for any errors or omissions in these materials. Solarplaza makes no commitment to update the information contained herein. This overview is protected by copyright laws, and may only be reproduced, republished, distributed, transmitted, displayed, broadcast or otherwise exploited in any manner only by accrediting Solarplaza as the source of it and providing a full hyperlink to http://www.solarassetmanagement.us/ where it was originally published. Should you have any remarks, please contact Saori Minamino at saori@solarplaza.com or tel. +31 10 280 91981Licence not specifiedover 1 year ago
- The Power Systems Planning Group, embedded in the Energy Sector Management Assistance Program (ESMAP), has created the Electricity Planning Model (EPM) as a least-cost planning framework. EPM minimizes the costs of expanding and operating a power system while meeting the model's technical, economic, and environmental requirements. EPM is a long-term planning model, which means it optimizes the annual capacity additions based on system costs over multiple years, including fixed (annualized capital and fixed operation and maintenance [O&M]) costs and variable (fuel and variable O&M) costs. Moreover, EPM addresses the dispatch of the generators, decides on the activities per geographical zone and the exchange between them. Furthermore, the model suggests the allocation of spinning reserves among generators and allows for implementing different policies, e.g., emissions limits, fuel, and import limits, spinning reserve requirements, transmissions caps, ramp limits, or carbon prices. As part of the implementation of EPM studies with World Bank clients, more than 100 comprehensive country or regional datasets have been developed to support the model development. As the EPM datasets are openly licensed they, in addition, offer an affordable alternative to costly commercial databases.1Licence not specifiedover 1 year ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Afghanistan. For more information please visit: https://www.esmap.org This dataset is outdated, please refer to the Global Wind Atlas for the best available wind resource data: http://globalwindatlas.info/1Licence not specifiedover 1 year ago
- Data repository for measurements from 12 wind masts in Pakistan. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/node/3058. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedover 1 year ago
- Data for medium and high voltage transmission lines in Togo. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Tanzania. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Sudan. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Senegal. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Congo, Rep.. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Nigeria. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Mozambique. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Madagascar. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for medium and high voltage transmission lines in Lesotho. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 2 years ago
- Data for power plants in Gabon with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Eritrea with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Gambia, The with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Ghana with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Ethiopia with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Djibouti with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Data for power plants in Congo, Rep. with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006).1Licence not specifiedalmost 2 years ago
- Product Market Regulation (PMR) indicators assess the extent to which public policies promote or inhibit market forces in several areas of product markets. Each of the areas addressed within the PMR methodology sheds light on specific restrictions of the regulatory framework both economy-wide and in key sectors of the economy on twelve topics: electricity; gas; telecom; post; transport; water; retail distribution; professional services; other sectors; administrative requirements for business start-ups; treatment of foreign parties; and others, such as governance of public-controlled enterprises or antitrust exclusions and exemptions. The information included in this dataset was collected as part of a partnership between the Markets & Competition Policy Global team of the World Bank Group (WBG) and the Economics Division of the Organisation for Economic Co-operation and Development (OECD) to produce PMR indicators for 10 LAC countries (Brazil, Costa Rica, Chile, Colombia, Dominican Republic, El Salvador, Honduras, Jamaica, Mexico, Nicaragua, Peru and Uruguay), later supported by the Inter-American Development Bank to produce indicators for 5 additional countries in the region (Bolivia, Ecuador, Guatemala, Panama and Paraguay). For further details on the PMR methodology, see the Product Market Regulation Indicators Homepage of the OECD.1Licence not specifiedalmost 2 years ago
- Actual evapotranspiration, Evapotranspiration deficit, biomass production, water use efficiency1Licence not specifiedalmost 2 years ago
- almost 2 years ago
- For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered: a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area (mainly from August to November) b. Floods triggered by rainfall stagnation after heavy local cloudbursts c. Floods caused by sea-level rise, tidal waves and coastal erosion Scenario a.) and b.) may occur at the same time. The flood hazard map was generated based on the occurrence of flood events during the past 10 years. The flood hazard classification in three qualitative hazard levels was done by summing up the flood occurences and reclassifying according to the following list: Number of events Flood Hazard Level 1 1 (low) 2-3 2 (medium) =4 3 (high) The estimation of the area threatened by tidal waves and coast erosion is based on available reports and press releases as well as on the extrapolation of the mapped difference (done by visual interpretation) of the coastline between 2003 and 20191Licence not specifiedalmost 2 years ago
- This database underpins the analysis in the report “More Power to India: The Challenge of Electricity Distribution”. The database is a collection of primary and secondary data on the Indian power sector, collected at the utility and state levels. It covers 87 power utilities and 29 states and spreads over the years 2003 to 2011 across dimensions such as operational and financial performance, market structure, implementation of reforms and corporate and regulatory governance.1Licence not specifiedalmost 2 years ago
- “Ensemble” temperature and precipitation data are derived from multiple global circulation models (GCMs). The ensemble data depict the range (10th percentile, median and 90th percentile) of model outputs run under each of two scenarios, A2 and B1, for four future time periods. The first listed download contains data aggregated to the country level; the remaining downloads are gridded data in shapefile format.1Licence not specifiedalmost 2 years ago
- Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.1Licence not specifiedalmost 2 years ago
- Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds.For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world™s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.1Licence not specifiedalmost 2 years ago
- "The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. For Coastal Flood, rasters for each return period were interpolated from a 1km grid of points. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR)."1Licence not specifiedalmost 2 years ago
- Water is not potable if its salinity exceeds 1 part per thousand (ppt), and water cannot be used for dry season paddy irrigation if its salinity exceeds 2 ppt. Recent field measurements conducted in Basanti, Gosaba, Hingalganj, Kultali, Namkhana, Pathar Pratima and Sagar Block, found that tube-well water salinity exceeds 1 ppt in 17 of 50 hamlets in Gosaba, Hingalgunj and Patharpratima blocks of the Sundarban Reclaimed (populated) Area in India. Measured salinity of water samples collected from Bidya, Matla, Hooghly, and Raimangal Rivers was in the range of 13-27ppt. This dataset was prepared by Sreejit Roy, Saptarshi Chakraborty, Tapas Kumar Sutradhar and Santadas Ghosh1Licence not specifiedalmost 2 years ago
- The geographical location of Afghanistan and years of environmental degradation in the country make Afghanistan highly prone to intense and recurring natural hazards such as flooding, earthquakes, snow avalanches, landslides, and droughts. These occur in addition to man-made disasters resulting in the frequent loss of live, livelihoods, and property. The creation, understanding and accessibility of hazard, exposure, vulnerability and risk information is key for effective management of disaster risk. Assuring the resilience of new reconstruction efforts to natural hazards, and maximizing the effectiveness of risk reduction investments to reduce existing risks is important to secure lives and livelihoods. So far, there has been limited disaster risk information produced in Afghanistan, and information that does exist typically lacks standard methodology and does not have uniform geo-spatial coverage. To better understand natural hazard and disaster risk, the World Bank and Global Facility for Disaster Reduction and Recovery (GFDRR) are supporting the development of new fluvial flood, flash flood, drought, landslide, avalanche and seismic risk information in Afghanistan, as well as a first-order analysis of the costs and benefits of resilient reconstruction and risk reduction strategies. For fluvial flood risk a flood modeling framework is being developed that consists of three components: • Hydrological analysis which models how much precipitation comes to runoff. The hydrological analysis is used as a back-bone to compute flow and flooding through the full catchment area during selected events as well as selected return periods. The hydrological simulations also form the backbone of the drought risk assessments (work package 3). • Hydrodynamic analysis, to translate runoff into river flow and inundation and flow over floodplain areas. • Flood impact analysis for calculating the impacts of a flood applied to flood prone areas with high damage potential.1Licence not specifiedalmost 2 years ago
- Probable informal settlements over Karachi (Pakistan) contains spatial explicit information about position of slums as identified in 2005 and 2010 from ancillary data sources and in 2017 by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.1Licence not specifiedalmost 2 years ago
- The products within the water quality service provide the parameters (a) Chlorophyll concentration (CHL), (b) Total suspended matter concentration (TSM), (c) Dissolved organic matter absorption (CDOM), and (d) Signal depths (Z90). They are provided as monthly averages in raster data sets in two different resolutions: 300m and 1200m. Overview images are provided which show the monthly averages of each year. Besides the image data, times series plots are delivered showing the evolution of the respective parameters for the areas of interest (AOIs). Finally, matrix plots are provided that show the values for each month and year for interpretation of the yearly evolution of the parameters (heatmaps). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedalmost 2 years ago
- The goal of the South West Indian Ocean Risk Assessment and Financing Initiative (SWIO RAFI) is to improve the resiliency and capacity of the island states through the creation of disaster risk financing strategies. A key component of this effort involves the quantification of site specific risk from the perils of flood, earthquakes, and tropical cyclones as well as their secondary hazards of storm surge and tsunamis. Regional hazard intensity calculations were applied to 10,000 years of Stochastic catalogs derived from the historical records to produce hazard intensity profiles at mean return periods of 25, 50, 100, 250, 500 and 1,000 years. All datasets are at their original resolution (0.00083) except for Madagascar (0.0032) which was resampled to reduce file sizes. This data set was produced with financial support from the European Union in the framework of the ACP-EU Natural Disaster Risk Reduction Program, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).1Licence not specifiedalmost 2 years ago
- Derived from 2011 Automatic Identification System (AIS) broadcast returns. Each vessel count per aliquot block represents the number of vessels traveling through the block during the year of 2010. An aliquot measures 1/16 of a full OCS leasing block or 1200 x 1200 meters. Only areas where BOEM publishes Official Protraction Diagrams will contain the aliquot AIS counts, therefore, large areas of inland state waters may be missing aliquot AIS counts. The data has also been clipped so that any aliquot that touches land has been deleted so that the user can discern the location of the coastline. Vessel type breakdowns can be viewed using the ID tool or by downloading the data. To download the data please click the following links for the Atlantic portion and the West Coast portion of the data.1Licence not specifiedalmost 2 years ago
- These seismic data were created by a consortium formed of Risk Engineering and Design (RED) and Evaluación de Riesgos Naturales (ERN), as part of a multi-hazard national risk assessment and risk profile development, conducted by GFDRR Innovation Labs. This contributes to GFDRR’s implementation of the Africa Disaster Risk Assessment and Financing Program, in turn part of the ACP-EU funded programme “Building Disaster Resilience to Natural Hazards in Sub-Saharan African Regions, Countries and Communities”. The probabilistic seismic hazard analysis is based on the ISC-GEM global instrumental catalog, NEIC (U.S. Geological Survey) catalog, and GCMT earthquake catalog. Ground Motion Prediction Equations appropriate to the extensional tectonic regime and stable continental areas within in the region are used, with VS30 soil amplification data. The PSHA is computed using the CRISIS2015 model. These data are created as part of a set of three countries (Ethiopia, Kenya, and Uganda).1Licence not specifiedalmost 2 years ago
- Megacity Dhaka encounters various kinds of natural disasters quite frequently owing to its geographical location and a number of other physical and environmental conditions including low topography, land characteristics, multiplicity of rivers and the monsoon climate. Climate and disaster resilience is not the same in all parts of a city. Spatial variations in resilience patterns result from differences in the strengths and weaknesses of the city’s economic, social, physical, institutional or natural aspects across its various parts. Traditional frameworks to assess adaptive capacity at the local level have focused largely on assets and capitals as indicators. While useful in understanding the capacity of a system to cope with disasters and adapt to changing environments, asset-oriented approaches overlook the processes and functions of a system (for example, governance system, community participation in decision-making, knowledge dissemination and management, structure of institutions and entitlements etc.) that are important aspects influencing the capacity of a human system to respond to climate change events.1Licence not specifiedalmost 2 years ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2004)) / (Worldview-2, GeoEye-1 (2015, 2017)) by means of manual classification processing techniques1Licence not specifiedalmost 2 years ago
- Geospatial data supporting the INFCE Infrastructure Data and Diagnostics Program. A series of accessibility and travel time rasters have been derived from open-source road networks (OSM) and destination points of interest (city centers, airports, marine ports, cross-country borders) using the GOSTNets methodology. This update contains two raster layers, a raster of travel time to the nearest city with population greater than 50k (URY_TravelTime) and a raster with a market accessibility index (URY_MarketAccess). The rasters have also been aggregated to the district-level using a population-weighted average for each layer (URY_Admin2).1Licence not specifiedalmost 2 years ago
- This dataset was extracted from the geodatabase published in 2017 by Resource Matters, as an addition to the energetic sector report in COD: https://resourcematters.org/ This data has been curated by WB team through consultations with Gov representatives.1Licence not specifiedalmost 2 years ago
- RISE is a set of indicators to help compare national policy and regulatory frameworks for sustainable energy. It assesses countries’ policy and regulatory support for each of the three pillars of sustainable energy—access to modern energy, energy efficiency, and renewable energy.1Licence not specifiedalmost 2 years ago
- This shapefile contains industry zones in Ivory Coast.1Licence not specifiedalmost 2 years ago
- This shapefile contains water/hydro polygons around Naiobi, Kenya.1Licence not specifiedalmost 2 years ago
- Water scarcity conditions are expressed in this study by means of the Water Crowding Index (WCI), i.e. the annual water availability per capita (Falkenmark, 1986; 2013). Due to its ease in use and its simplicity in understanding, the WCI consists among the most often used indicators in water scarcity assessments, see for example: Falkenmark, 2013; Hoekstra et al., 2012; Kiguchi et al., 2014; Kummu et al., 2014; Oki & Kanae, 2006; Schewe et al. 2014, Veldkamp et al., 2015a, 2015b; Vorosmarty et al., 2000; Wada et al., 2011a. In line with previous studies, we used ≤1700 m3/capita per year as the threshold for moderate water scarcity conditions. Result found under severe (≤1000 m3/capita per year) and absolute (≤500 m3/capita per year) water scarcity conditions are presented in the supplementary. Population estimates per water province were derived using downscaled socio-economic scenarios from the Shared Socio-Economic pathways (Van Vuuren et al., 2007, 2011). Following Winsemius et al (in review), we used three SSP scenarios to complement the climate projections: (1) SSP1, forms with RCP2p6 the ‘Suitability’ storyline; (2) SSP3, forms with RCP6p0 the ‘Fragmented World storyline; and (3) SSP5, forms with RCP8p5 the ‘Fossil-fuel based development’ storyline. For an extensive discussion on these storylines and the associated SSP and RCP combinations we refer to Winsemius et al. (in review).1Licence not specifiedalmost 2 years ago
- Land Use / Land Cover (LULC) information product over Karachi (Pakistan) contains spatial explicit information about the different land covers / uses for current (2017) and past (2005) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.1Licence not specifiedalmost 2 years ago
- This dataset for Lake Victoria includes the following parameters: 1. Ecological water quality parameters (including Chlorophyll-a surface concentration, Suspended Particulate Matter (SPM) and Lake Surface Temperature (LST)), 2. Monitoring of the proliferation of macro-algae (water hyacinth index from optical data, water hyacinth likelihood index from radar data, and Floating Vegetation), 3. Sustainability indexes (evolution of land cover land use (1984 2014), evolution of surface occupied by water hyacinth, evolution of pollution release into the lake due to rainfall streaming, 4. Other data products (lake bathymetry, topography, time series of meteorological observations). Attached images are only JPG map visualizations. Raw data can be accessed through the external link resource. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.1Licence not specifiedalmost 2 years ago
- Airports in Nigeria with airport name, but no additional attributes1Licence not specifiedalmost 2 years ago
- Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains terrain elevation above sea level (ELE) in [m a.s.l.] covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characeristics: ELE GISdata (GeoTIFF) Data format: GEOTIFF File size : 826.8 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).1Licence not specifiedalmost 2 years ago
- The Transport Infrastructure information products show the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure datasets are based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2006, 2009) and Pleiades (2016)) by means of manual classification processing techniques.1Licence not specifiedalmost 2 years ago
- almost 2 years ago
- Muis et al Coastal Flood datasets These datasets present the first global reanalysis of storm surges and extreme sea levels (GTSR data set) based on hydrodynamic modelling. GTSR covers the entire world’s coastline and consists of time series of tides and surges, and estimates of extreme sea levels. Validation shows that there is good agreement between modelled and observed sea levels, and that the performance of GTSR is similar to that of many regional hydrodynamic models. More information on the methods can be found at: Muis, S., Verlaan, M., Winsemius, H.C., Aerts, J.C.J.H., Ward, P.J., 2016. A global reanalysis of storm surge and extreme sea levels. Nat. Commun. 7, 1–11. doi:10.1038/ncomms119691Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- Data collected and prepared for a project of the World Bank Group Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...1Licence not specifiedalmost 2 years ago
- The dataset provides potential sites for the deployment of smaller scale hydropower (1-10 MW) in Afghanistan. The analysis is based on a methodology developed at KTH dESA in 2016.1Licence not specifiedalmost 2 years ago
- Ground measured solar irradiation and meteorological data for Dodoma and Shinyanga up to 31 Dec 2021 and Dar Es Salaam up to 30 Nov 2022. Ground measured solar irradiation and meteorological data for Makunduchi can be found under Zanzibar. URL: energydata.info/dataset/zanzibar-solar-radiation-measurement-data1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Somalia. For more information please visit: https://www.esmap.org This dataset is outdated, please refer to the Global Wind Atlas for the best available wind resource data: http://globalwindatlas.info/1Licence not specifiedalmost 2 years ago
- Data repository for measurements from 5 automated solar stations in Nepal. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure, liquid precipitation and wind speed. For more information and additional outputs, please visit: http://esmap.org/re_mapping_nepal For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Nepal-Solar Radiation Measurement Data, 2018,1Licence not specifiedalmost 2 years ago
- The report, conducted in 2022-23, underscores the urgent need to ensure efficient, clean, and affordable heating services for everyone. Achieving net-zero emissions by mid-century in the region requires a drastic transformation of the heating sector, which today accounts for about 24% of regional energy demand and is responsible for about 22% of greenhouse gas (GHG) emissions. It presents the results of research and analysis of 23 countries across Europe and Central Asia (ECA) on the status and trends of space heating in the region.1Licence not specifiedalmost 2 years ago
- Data repository for measurements from a solar measurement station in Bangladesh. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure and wind speed. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/1Licence not specifiedalmost 2 years ago
- Various indicators for MENA countries to get an overview of the countries energy and economic profiles. The indicators are organized in 6 categories: economic indicators, energy indicators, oil indicators, gas indicators, electricity indicators & energy efficiency indicators. Each indicator includes name, unit, yearand value for that year. Format included are Excel spreasheet, CSV & JSON. Sources vary for each indicators, please look at the Excel spreadsheet for details. Main sources are the World Bank Group, the IMF, KNOEMA aggregating platform and EIA.1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- This dataset contains a vector shapefile of global transmission networks from OSM power lines, from 2016.1Licence not specifiedalmost 2 years ago
- This dataset represents potential mini-grid projects; these projects were identified through a least-cost geospatial analysis undertaken over the period 2017-2018. Each project (defined by the unique “mg_Name”) includes generator locations, circuits (electricity lines), potential customers, commercial points of interest, and mini-grid boundary (which defines the broad physical extent of the mini-grid). Therefore, the dataset includes a combination of several feature types. The shapefiles are accompanied by the “Potential New Mini-Grid Projects Cost” (included in the csv file). This csv file includes residential and non-residential customers to be connected; distribution line length; number of streetlights required; daily energy and peak demand; the size of the PV array, inverter, batter, and diesel generator; and estimated project cost (in US$) for each unique new mini-grid project (again, defined by “mg_name”).1Licence not specifiedalmost 2 years ago
- Data on Nigeria Settlement Location and Distribution downloaded from the The Bill & Melinda Gates Foundation Vaccination Tracking System (VTS). To learn more about the VTS project, please visit http://vts.eocng.org/Home/About?campaignId=01Licence not specifiedalmost 2 years ago
- The dataset contains the location(point) of existing mini-grids as reported by the ESPs.This dataset includes both mini-grids with MV- and LV-distribution line as well as mini-grids without distribution lines.1Licence not specifiedalmost 2 years ago
- The dataset contains the point location of 1)Distribution MVLV Transformers 2)Distribution MV Transformers 3)Distribution Substations 4)HVMV Substations 5)MVLV Substations in Zambia1Licence not specifiedalmost 2 years ago
- Dataset of perennial rivers in Afghanistan. Data modified accordingly so as to yield the river network with Strahler order higher or equal than 3.1Licence not specifiedalmost 2 years ago
- The dataset contains the location of 1)HV Lines 2)MV Lines 3) Distribution MV Overhead Lines 4)Distribution MV Underground Lines in Zambia1Licence not specifiedalmost 2 years ago
- The dataset contains the location(line) of transmission backbone in Somalia1Licence not specifiedalmost 2 years ago
- The dataset shows the 2019 Somalia population cluster developed by KTH.1Licence not specifiedalmost 2 years ago
- The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2: 2005 and WorldView-2: 2017) by means of manual classification processing techniques.1Licence not specifiedalmost 2 years ago
- This dataset demonstrates powerlines in Eswatini. It contains low voltage (440V) and 11kV distribution networks as well as higher voltage transmission grid data provided by EEC. It is in shapefile (line) and CSV format.1Licence not specifiedalmost 2 years ago
- The dataset contains the location(point) of Somalia's existing LV distributions as reported by the ESPs.1Licence not specifiedalmost 2 years ago
- Data repository for solar measurements from 4 WB funded stations in Armenia. The four solar measuring stations and the associated measurement campaign have been financed by the Scaling-Up Renewable Energy Program (SREP) as part of the preparation activities for the Armenia Utility-Scale Solar Project. This project, which is being jointly supported by SREP and the World Bank, will deliver the first utility-scale solar plant in the country. The locations for the measuring stations were selected by the Renewable Resources and Energy Efficiency Fund, the project’s implementing entity, following the recommendations from Effergy, the expert consultant firm. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/1Licence not specifiedalmost 2 years ago
- This dataset contains a population cluster (shapefile) of Somaliland with the electrification scenarios. The scenarios assess the effect of different roll-out plans, demand levels, diesel costs, grid electricity costs, PV costs, and different types of restrictions or limitations on grid expansion. Results are presented for 2025 and 2030.1Licence not specifiedalmost 2 years ago
- almost 2 years ago
- The dataset contains point locations of education facilities in Zambia. This is extracted from Humanitarian Open Street Map, 20181Licence not specifiedalmost 2 years ago
- Data repository for ground measurements and satellite data from 3 meteorological stations in Malawi. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, precipitation, wind speed and atmospheric pressure. Delivered files: Solar-Measurements_Malawi_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Malawi_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Malawi_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Malawi_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Malawi_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: http://esmap.org/re_mapping_malawi For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Malawi-Solar Radiation Measurement Data, 2017,1Licence not specifiedalmost 2 years ago
- Road network in Kenya. The dataset was provided by Kenya Roads Board (KRB).1Licence not specifiedalmost 2 years ago
- This dataset represents potential grid expansion projects identified through a least-cost geospatial analysis undertaken over the period 2017-2018. Each project (defined by the unique “gis_projec” or “project na”) includes electricity lines, poles, and building structures. Therefore, the dataset includes a combination of several feature types. The shapefile is accompanied by the “Potential Grid expansion project cost.csv”. This csv file includes total number of customers, total cost of grid expansion (in US$), the cost per consumer, etc. for each unique project (again, defined by “gis_projec” or “project na”).1Licence not specifiedalmost 2 years ago
- Global Horizontal Irradiation (GHI) raster file over the territory of Afghanistan. Aggregated annual average values. Spatial resolution 5km.1Licence not specifiedalmost 2 years ago
- almost 2 years ago
- The dataset contains location of Power Stations in Kenya. It was provided by Kenya Power and Lighting Company (KPLC).1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are sampling strategy documents and country diagnostic reports. Formats include pdf and docx.1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (i.e. raw data sets in dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- Ground measurement data from 3 solar meteorological stations in Zambia. Data contains 1 minute average values for solar radiation, air temperature, relative humidity, barometric pressure, precipitation, wind speed and wind direction, cleaned and soiled radiance sensor (soiling measurement) and cleaning events.1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Eritrea. For more information please visit: https://www.esmap.org This dataset is outdated, please refer to the Global Wind Atlas for the best available wind resource data: http://globalwindatlas.info/1Licence not specifiedalmost 2 years ago
- Data on healthcare facility locations in Kenya. The dataset was provided by the Government of Kenya.1Licence not specifiedalmost 2 years ago
- Data on Nigeria Settlement Location and Distribution downloaded from the The Bill & Melinda Gates Foundation Vaccination Tracking System (VTS). To learn more about the VTS project, please visit http://vts.eocng.org/Home/About?campaignId=01Licence not specifiedalmost 2 years ago
- Data on Nigeria Settlement Location and Distribution downloaded from the The Bill & Melinda Gates Foundation Vaccination Tracking System (VTS). To learn more about the VTS project, please visit http://vts.eocng.org/Home/About?campaignId=01Licence not specifiedalmost 2 years ago
- The databases contain all the technical, financial, and tariff data collected through the study "Making power affordable in Africa and viable for its utilities." The final study and background papers are available at http://www.worldbank.org/affordableviablepowerforafrica. The objective of making the database public is to make data collected through the study available to utility companies, regulators, and practitioners to provide benchmarks and help inform analysis. The databases will be updated from time to time to make corrections or updates for latest data available and therefore may differ from data that appears in the reports. This database is a publication of the African Renewable Energy Access Program (AFREA), a World Bank Trust Fund Grant Program funded by the Kingdom of the Netherlands through ESMAP. It was prepared by staff of the International Bank for Reconstruction and Development / The World Bank.1Licence not specifiedalmost 2 years ago
- This folder contains the grid network scenarios of Eswatini. There are 4 subfolders, 1. Eswatini-BaseCase 2. Eswatini-HighDemand 3.Eswatini-LowGridReliability and 4. Eswatini-LowOffGrid1Licence not specifiedalmost 2 years ago
- The dataset contains the location(point) of education facilities in Somalia. This dataset is collected in 2004 by UNICEF.1Licence not specifiedalmost 2 years ago
- The dataset contains the location(point) of hydro potential in Somalia1Licence not specifiedalmost 2 years ago
- The dataset contains the location of Somalia existing mini-grids with MV-lines for distributions as reported by the ESPs.1Licence not specifiedalmost 2 years ago
- The dataset contains location of small scale hydro-potential points in Somaliland.1Licence not specifiedalmost 2 years ago
- Task-3 Tail-Ended-Grid Tail Ended Grid Station IESCO with Regards To-Maximum Load, Length of Feeders, KVA Connected, Category-wise consumers with load in (KW), Percentage Losses and specific category consumers1Licence not specifiedalmost 2 years ago
- This is the proposed grid extension for Zambia based on the NEP study1Licence not specifiedalmost 2 years ago
- The dataset contains the location of Somalia interconnection lines.1Licence not specifiedalmost 2 years ago
- This dataset, obtained from Surveyor General's Office, contains health facilities in Eswatini. The format is in shapefile (point).1Licence not specifiedalmost 2 years ago
- This dataset collected by SARA survey and GoSL contains the location (point) of health facilities in Somaliland.1Licence not specifiedalmost 2 years ago
- The dataset provides existing and planned road infrastructure in Afghanistan. Data Source: The World Bank Group. Open Street Maps have been used as a complementary source. Latest update: 2012 Comment: Many of the roads that are characterized as under construction, or planned, may now be completed.1Licence not specifiedalmost 2 years ago
- Data on Nigeria Settlement Location and Distribution downloaded from the The Bill & Melinda Gates Foundation Vaccination Tracking System (VTS) on April 7th, 2016. To learn more about the VTS project, please visit http://vts.eocng.org/Home/About?campaignId=01Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- This dataset was used for SESRP project, which contains the water points lacking adequate access to electricity in Somaliland1Licence not specifiedalmost 2 years ago
- The dataset contains the location of Ethiopia interconnection lines in Somalia.1Licence not specifiedalmost 2 years ago
- The dataset contains the location of settlement groups with electrification options.1Licence not specifiedalmost 2 years ago
- Ground measurement data from 3 solar meteorological stations in Senegal. Data contains 1 minute average values for solar radiation, air temperature, relative humidity, barometric pressure, precipitation, wind speed at 3m, wind speed calculated for 10m, wind direction and cleaning events. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- Data collected and prepared from the Kazakhstan’s National Transmission Grid map, for a WBG published report Stuck in transition: reform experiences and challenges ahead in the Kazakhstan power sector. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. To learn more, please visit http://www.worldbank.org/en/country/kazakhstan/publication/kazakhstan-po... Citation: Aldayarov, Mirlan; Dobozi, Istvan; Nikolakakis, Thomas. 2017. Stuck in transition : reform experiences and challenges ahead in the Kazakhstan power sector. Directions in Development. Energy and Mining. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/104181488537871278/Stuck-in-tr... This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 2 years ago
- The dataset shows the Somaliland population cluster prepared by KTH.1Licence not specifiedalmost 2 years ago
- This dataset, used by SESRP project, contains water data collection points in Somaliland1Licence not specifiedalmost 2 years ago
- Data collected and prepared for a project of the World Bank Group Energy Community of South East Europe APL 3 Montenegro Project in Montenegro. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P106899/energy-community-south-east-europe...1Licence not specifiedalmost 2 years ago
- Wind speed raster file over the territory of Afghanistan. Aggregated annual average values. Spatial resolution 5km.1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Tanzania. For more information please visit the country webpage: https://www.esmap.org/re_mapping_tnz1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for the Maldives. For more information please visit the country webpage: https://www.esmap.org/re_mapping_maldives1Licence not specifiedalmost 2 years ago
- NewEnergy in partnership with SNV conducted a survey to collect baseline data about the energy situation in Central Gonja District in April-June 2012. This exercise is part of a renewable energy project initiated by SNV in a number of districts in the three Northern Regions. The survey was conducted in 300 households, 60 small scale enterprises and 15 public/social service institutions in 6 villages in the Central Gonja District. Citation: SNV Ghana & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 2 years ago
- Data repository for measurements from 5 automated solar stations in Vietnam. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure and wind speed. For more information and additional outputs, please visit: http://esmap.org/re_mapping_vietnam For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ 5 stations: VNCEH (Central Highlands): Tier 1 HelioScale omega / VNDAN (Da Nang): Tier 2 HelioScale phi / VNHAN (Hanoi): Tier 1 HelioScale omega / VNSOB (Song Binh): Tier 2 HelioScale phi / VNTRA (Tri-An): Tier 1 HelioScale omega Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Vietnam-Solar Radiation Measurement Data, 2017,1Licence not specifiedalmost 2 years ago
- The GIS Biomass Atlas of Pakistan is the final output from the biomass resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Pakistan” [Project ID: P146140]. You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan To visualize the geospatial data generated in this study, please access: https://irena.masdar.ac.ae/GIS/?map=2636 Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass GIS Atlas, 2016, https://energydata.info/dataset/pakistan-biomass-gis-atlas"1Licence not specifiedalmost 2 years ago
- The dataset contains the location of 33kv/15kv/11kv Distribution lines in Hargeysa (Somaliland).1Licence not specifiedalmost 2 years ago
- Data collected and prepared for a project of the World Bank Group Modernization and Upgrade of Transmission Substations project in Uzbekistan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P156584/?lang=en&tab=overview1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Vietnam. For more information please visit the country webpage: https://www.esmap.org/re_mapping_vietnam1Licence not specifiedalmost 2 years ago
- The dataset contains Distribution Transformers in Kenya.The dataset was provided by Kenya Power and Lighting Company (KPLC).1Licence not specifiedalmost 2 years ago
- This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India gathered from World Bank hydro projects. This database has been expanded to include the International Hydropower Association (IHA) dataset for India: https://energydata.info/dataset/india-hydropower-databaseIt also includes data gathered from the FAO's public Aquastat database for Africa: http://www.fao.org/aquastat/en/databases/damsThis dataset also contains data gathered from the public Global Reservoir and Dam Database (GRanD) for Africa.The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource through the Floating Solar module. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY19 updates, the database will continue to expand to other regions until a global dataset has been completed.The current coverage spans the continent of Africa and India only, with upcoming updates to include other continents.1Licence not specifiedalmost 2 years ago
- This dataset contains solar rooftop potential data (installable capacity, estimated electricity generation) for the municipalities of Ho Chi Minh and Da Nang. The data was gathered by extracting building rooftop footprint polygons from very high resolution stereosatelite imagery. Detailed methodology is available upon specific request.1Licence not specifiedalmost 2 years ago
- The dataset contains the location of Distribution MV Overhead Lines in Zambia1Licence not specifiedalmost 2 years ago
- The dataset contains the point location of microgrids in Zambia1Licence not specifiedalmost 2 years ago
- Repository for the measurements from the meteorological station located in Dar es Salaam (Tanzania). Data will be upload monthly. The measurements started on May 21st, 2015. For more information, please visit: http://esmap.org/re_mapping_tnz For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Tanzania-Solar Radiation Measurement Data, 2017,1Licence not specifiedalmost 2 years ago
- This dataset contains GIS data and LIB files from an initial wind resource assessment for Djibouti. For more information please visit: https://www.esmap.org This dataset is outdated, please refer to the Global Wind Atlas for the best available wind resource data: http://globalwindatlas.info/1Licence not specifiedalmost 2 years ago
- School locations in Kenya. It comprises Primary and Secondary Schools. The dataset was provided by Kenya Ministry of Education.1Licence not specifiedalmost 2 years ago
- The Tool for Rapid Assessment of City Energy (TRACE) is a decision-support tool designed to help cities quickly identify under-performing sectors, evaluate improvement and cost-saving potential, and prioritize sectors and actions for energy efficiency (EE) intervention. It covers six municipal sectors: passenger transport, municipal buildings, water and waste water, public lighting, solid waste, and power and heat. More information at: https://esmap.org/TRACE This dataset includes survey data from 30 cities across the world.1Licence not specifiedalmost 2 years ago
- The dataset developed by WHO contains the location(point) of health facilities in Somalia.1Licence not specifiedalmost 2 years ago
- The dataset contains location of 11kv distribution line in Berbera (Somaliland)1Licence not specifiedalmost 2 years ago
- This dataset,used for the SESRP project, contains the information on health facilities lacking adequate access to electricity in Somaliland1Licence not specifiedalmost 2 years ago
- This dataset contains the location (point) of education facilities in Somaliland. It was provided by GoSL and was combined with open-source data available in UNICEF’s database.1Licence not specifiedalmost 2 years ago
- The dataset shows point location of Zambia 1)biomass 2)geothermal 3)hydro potential area for energy1Licence not specifiedalmost 2 years ago
- The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.1Licence not specifiedalmost 2 years ago
- Data repository for ground measurements and satellite data from 4 meteorological stations in Maldives. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, wind speed and atmospheric pressure. Delivered files: Solar-Measurements_Maldives_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Maldives_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Maldives_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Maldives_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Maldives_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: http://esmap.org/re_mapping_madlvies For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Maldives-Solar Radiation Measurement Data, 2018,1Licence not specifiedalmost 2 years ago
- National Daily Peak Demand for Electricity in Ghana for years 2009 and 2010. Citation: Ghana Grid Company (GRIDCo) & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 2 years ago
- The dataset contains the location(point) of Somalia's existing MV distributions as reported by the ESPs.1Licence not specifiedalmost 2 years ago
- The World Bank working with EED Advisory Limited carried out the Burundi MTF energy survey to provide national-level insights into the status of access to electricity. The survey extended to identify 120 high-potential mini-grids sites in the country. These shapefiles demonstrate; i) 120 high-potential mini-grids sites with basic information including the number of health and education facilities in the community ii) Detailed household data of 6 villages among 120 potential mini-grids sites, including types of houses, the existence of lightning, solar, radio, tv, mobile, etc. iii) Detailed business data of 6villages among 120 potential mini-grids sites, including hours of operation for the business, the existence of lightning, solar, radio, tv, mobile, etc. iv) Potential customers data of 6 villages among 120 potential mini-grids sites, including the types of customers (household or business). The format includes a zip file (which includes datasets of shapefile format and excel spreadsheets).1Licence not specifiedalmost 2 years ago
- This dataset contains the input parameters for Model for Electricity Technology Assessment (META) tool for US, Romania, Jamaica and India (base year 2010). Furthermore, the META projected costs for 2015 and 2020 are presented.1Licence not specifiedalmost 2 years ago
- Main nodes and major lines of the electricity transmission network of the united Arab Emirates. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utilities (AADC, ADDC, DEWA, SEWA & FEWA).1Licence not specifiedover 2 years ago
- Main nodes and major lines of the electricity transmission network of Tunisia. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (STEG).1Licence not specifiedover 2 years ago
- This raster maps average atmospheric methane concentrations in 2016. The data used to create it is from the NASA Aqua satellite (specifically the AIRS instrument) that records monthly average atmospheric methane concentrations. AIRS collects methane data at different pressure levels. The raster depicts data at the 400 hPa level because that is where the instrument is most sensitive to methane concentration. The monthly data was consolidated using the NASA tool, Giovanni https://giovanni.gsfc.nasa.gov/giovanni/, to create a raster with annual average methane concentrations. Giovanni output two rasters: one for daytime averaged data and one for nighttime averaged data. ArcGIS was then used to combine the two rasters to create a single annual raster. A conversion factor of 1.0e+9 was multiplied to convert the final raster from mole fractions to parts per billion. The results are attached. The Carnegie Endowment for International Peace would like to eventually incorporate a methane raster as a new layer in the Oil Climate Index (OCI) web tool http://oci.carnegieendowment.org/. Carnegie is currently updating the OCI, adding greenhouse gas comparisons of global gas fields and visualizing their methane emissions. Carnegie is planning to work with our OCI partners at Stanford to further analyze the methane concentration raster to separate out signal from noise and to identify potential methane concentration hot spots associated with oil and gas operations. This raster is useful when studying short term climate risks, especially when it comes to Arctic oil and gas resources.1Licence not specifiedalmost 3 years ago
- Data for medium and high voltage transmission lines in Guinea. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 3 years ago
- Data for medium and high voltage transmission lines in Ghana. The data were compiled for the AICD study led by the World Bank. A variety of sources were consulted, including regional power pool documents and maps from World Bank project documents.1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Taiwan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Poland. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- This dataset presents the technical potential for offshore wind development at the country level, split into potential for fixed and floating foundations. The files are grouped per WB regions and delivered in PDF, .SHP, .KMZ (CRS:4326) and .EXCEL format. We recommend non-GIS users to explore the EXCEL files and PDFs that summarize the technical potential per country; furthermore, users can explore the KML files interactively in Google Earth/ Google Maps application. Please read the METADATA file for more information on the methodology used for the spatial analysis. This analysis was undertaken as part of the World Bank Group’s Offshore Wind Development Program which is led by ESMAP in partnership with IFC. The program is supporting the inclusion of offshore wind into the energy sector policies and strategies of WBG client countries and the delivering the technical work needed to build a pipeline of bankable projects. This work was originally created to support the program's report 'Going Global: Expanding Offshore Wind to Emerging Markets'. For more information on the report please see: https://esmap.org/offshore-wind The World Bank and ESMAP do not guarantee the accuracy of this data and accept no responsibility whatsoever for any consequences of their use. The maritime boundaries do not imply on the part of the World Bank any judgement on the legal status of any territory or the endorsement or acceptance of such boundaries.1Licence not specifiedalmost 3 years ago
- Least-cost scenario - population recommended to the mini-grid for base case scenario in Zambia1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group Modernization and Upgrade of Transmission Substations project in Uzbekistan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P156584/?lang=en&tab=overview1Licence not specifiedalmost 3 years ago
- This dataset contains a population cluster (shapefile) of Benin with the electrification scenarios. The scenarios assess the effect of different roll-out plans, demand levels, diesel costs, grid electricity costs, PV costs, and different types of restrictions or limitations on grid expansion. Results are presented for 2025 and 2030.1Licence not specifiedalmost 3 years ago
- Maps with wind speed and wind power density potential for South Asia. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- The Earth Observations Group (EOG) at National Oceanic and Atmospheric Administration (NOAA)/National Geophysical Data Center (NGDC) is producing a version 1 suite of average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). Prior to averaging, the DNB data is filtered to exclude data impacted by stray light, lightning, lunar illumination, and cloud-cover. Cloud-cover is determined using the VIIRS Cloud Mask product (VCM). In addition, data near the edges of the swath are not included in the composites (aggregation zones 29-32). Temporal averaging is done on a monthly and annual basis. The version 1 series of monthly composites has not been filtered to screen out lights from aurora, fires, boats, and other temporal lights. However, the annual composites have layers with additional separation, removing temporal lights and background (non-light) values. The version 1 products span the globe from 75N latitude to 65S. The products are produced in 15 arc-second geographic grids and are made available in geotiff format as a set of 6 tiles. The tiles are cut at the equator and each span 120 degrees of latitude. Each tile is actually a set of images containing average radiance values and numbers of available observations. The dataset is the night light annual composite in year of 2015. The dataset is a KML file which requires the Google earth to visualize. For other monthly and annual basis night light geotiff datasets (up to Sep 2017), please download at https://www.ngdc.noaa.gov/eog/viirs/download_dnb_composites.html#NTL_2015 Citation: the Earth Observation Group, NOAA National Geophysical Data Center1Licence not specifiedalmost 3 years ago
- Least-cost scenario - population recommended to the individual SHS for base case scenario in Zambia1Licence not specifiedalmost 3 years ago
- Maps with worldwide wind speed and wind power density potential. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in January 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Installed and Effective Capacities (MW) per Power Facilities 2014. Data complied from the Kenya Power annual report 2014 (Data submitted on 30.06.2014); the Kenyan Energy Regulatory Commission and Wikipedia for some geolocalizations. Citation: Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities. https://datahub.io/dataset/kenya-geolocalized-power-facilities-20141Licence not specifiedalmost 3 years ago
- Some lines are extracted from OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Egypt. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EEHC).1Licence not specifiedalmost 3 years ago
- The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset/sudan-administrative-boundaries1Licence not specifiedalmost 3 years ago
- This is the input data for health facilities used in the Zambia NEP study1Licence not specifiedalmost 3 years ago
- Contains information about each delivery technology for US, Romania, Jamaica and India. base year: 2010. This information is used as input in the Model for Electricity Technology Assessment (META) tool. META yields levelized costs for generation, transmission, and distribution for each electricity supply technology option from a relatively few input parameters. One of the features of META is that it allows for integration of environmental externalities, such as local pollution and greenhouse gas emissions. Users can easily see the cost of adding or expanding generation from a particular power source if, for example, a carbon price is factored in.1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group in October 2013. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Lebanon. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (EDL).1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Saudi Arabia. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (SEC).1Licence not specifiedalmost 3 years ago
- The GIS database has been developed under the project "Renewable Energy Mapping: Small Hydro Tanzania". This study is part of a technical assistance project, ESMAP funded, being implemented by Africa Energy Practice of the World Bank in Tanzania which aims at supporting resource mapping and geospatial planning for small hydro. Please refer to the country project page for additional outputs and reports: http://esmap.org/re_mapping_TNZ The GIS database contains the following datasets: Administrative Boundaries Hydrology Protected Areas Satellite Imagery Land Cover Geology Topography Population Infrastructure: Power/ Transport each accompanied by a metadata file Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Tanzania Small Hydro GIS Atlas, 2018, https://energydata.info/dataset/tanzania-small-hydro-gis-database-2018"1Licence not specifiedalmost 3 years ago
- almost 3 years ago
- This dataset consists of the different sources of ghana’s power generation and the installed capacities of these sources. Data on the actual available capacities will be provided by Energy Comission in the near future. The data was last updated in June 2014. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- This dataset contains roads in Eswatini based on data extracted from Open Street Map. The format is in shapefile (line).1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) The Africa Infrastructure Country Diagnostic (AICD) study 2) OSM data © OpenStreetMap contributors1Licence not specifiedalmost 3 years ago
- An extract from the Africa Infrastructure Country Diagnostic (AICD) 20071Licence not specifiedalmost 3 years ago
- This is existing grid infrastructure related datasets for Mauritania that were used as inputs in the NEP study1Licence not specifiedalmost 3 years ago
- The Mining Investment and Governance Review (MInGov) is a tool used to systematically diagnose mining governance, improve sector performance, encourage investment, and facilitate engagement by civil society. MInGov data for individual countries are collected from a variety of sources (primary, secondary, and interviews) and made publicly available.1Licence not specifiedalmost 3 years ago
- The GIS HydroAtlas of Madagascar is the final output from the small hydro resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Madagascar” [Project ID: P145350]. You can find more information about the project here: https://www.esmap.org/re_mapping_madagascar Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Madagascar Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/madagscar-small-hydro-gis-atlas-2017"1Licence not specifiedalmost 3 years ago
- The data contains transmission station locations in Kenya. The dataset was provided by Kenya Power and Lighting Company (KPLC).1Licence not specifiedalmost 3 years ago
- Extracted from the Africa Infrastructure Country Diagnostic (AICD)1Licence not specifiedalmost 3 years ago
- This dataset contains substations in Eswatini. The format is in shapefile (poly).1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in May 2015 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Maps with wind speed and wind power density potential in the Middle East and North Africa. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Interconnection of the Spanish electricity transmission network with Morocco. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (ONE, Morocco).1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Iraq. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and Iraq Ministry of Electricity.1Licence not specifiedalmost 3 years ago
- This dataset also consists of data on other non-grid connected solar installations/applications such as standalone solar solutions, lanterns, solar pumps, and solar water heaters. The capacities of the solar pumps and the water heaters in terms of their flow rates and volumes respectively are reported. This dataset was last updated in June 2014. NB: The number of solar lanterns distributed by the Ministry of Energy And Petroleum(MOEP) is not given but a total capacity of those lantern distributed was 42kW. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- The transmission network GIS datasets are obtained from the World Bank project "Niger Electricity Access Expansion Project". The Project Appraisal Document can be accessed at http://documents.worldbank.org/curated/en/918311468179953735/Niger-Elect... Citation: World Bank. 2015. Niger Electricity Access Expansion Project. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/918311468179953735/Niger-Elect...1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Syria. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specifiedalmost 3 years ago
- Data collected and prepared from the Kazakhstan’s National Transmission Grid map, for a WBG published report Stuck in transition: reform experiences and challenges ahead in the Kazakhstan power sector. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. To learn more, please visit http://www.worldbank.org/en/country/kazakhstan/publication/kazakhstan-po... Citation: Aldayarov, Mirlan; Dobozi, Istvan; Nikolakakis, Thomas. 2017. Stuck in transition : reform experiences and challenges ahead in the Kazakhstan power sector. Directions in Development. Energy and Mining. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/104181488537871278/Stuck-in-tr... This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- The LAC (Latin America and Caribbean) Geothermal Inventory compiles data on geothermal resources throughout Latin America and the Caribbean. Both developed and undeveloped resources are included. It contains information from publicly available sources.1Licence not specifiedalmost 3 years ago
- It is one of several outputs from the small hydro resource mapping component of the activity “Renewable Energy Resource Mapping and Geospatial Planning – Vietnam” [Project ID: P145513]. This output is the result of the digitization of existing small and large hydropower in Vietnam. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Vietnam Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/vietnam-small-hydro-mapping-2017"1Licence not specifiedalmost 3 years ago
- Extracts taken from World Bank project archives.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Oman. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (OETC).1Licence not specifiedalmost 3 years ago
- Maps with wind speed and wind power density potential in Latin America and Caribbean. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- This High Resolution High Voltage Grid Map based on Machine Learning dataset was prepared by Development Seed under contract to The World Bank. This project was funded and supported by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank.1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in The Philippines. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Data collected as input to the geospatial least-cost planning for universal electricity access by 2030 developed as part of the ESMAP funded World Bank Nigeria Electricity Access Project (NEAP). The dataset covers the service area for the Kano Electricity Distribution Company (KEDCO) Nigeria. The data collection has been undertaken by the Earth Institute, Sustainable Engineering Lab, in close collaboration with KEDCO. 3) Plan data collected and prepared for a project of the World Bank Group digitized from a PDF map.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) Africa Infrastructure Country Diagnostic (AICD) 2009 https://datacatalog.worldbank.org/dataset/angola-electricity-transmissio... 2) OSM data © OpenStreetMap contributors1Licence not specifiedalmost 3 years ago
- This dataset was extracted from the geodatabase published in 2017 by Resource Matters, as an addition to the energetic sector report in COD: https://resourcematters.org/ This data has been curated by WB team through consultations with Gov representatives.1Licence not specifiedalmost 3 years ago
- GeoTIFF raster data with worldwide wind speed and wind power density potential. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). This link provides access to the following layers: (1) Wind speed (WS): at 3 heights (50m, 100m, and 200m) , stored as separate bands in the raster file (2) Power Density (PD): at 3 heights (50m, 100m, and 200m) , stored as separate bands in the raster file. (3) Elevation (ELEV): at ground level (4) Air Density (RHO): at ground level (5) Ruggedness Index (RIX): at ground level All layers have 250m resolution.1Licence not specifiedalmost 3 years ago
- Investments in infrastructure have been on the development agenda of Latin American and Caribbean (LCR) countries as they move towards economic and social progress. Investing in infrastructure is investing in human welfare by providing access to and quality basic infrastructure services. Improving the performance of the electricity sector is one such major infrastructure initiative and the focus of this benchmarking data. A key initiative for both public and private owned distribution utilities has been to upgrade their efficiency as well as to increase the coverage and quality of service. In order to accomplish this goal, this initiative serves as a clearing house for information regarding the country and utility level performance of electricity distribution sector. This initiative allows countries and utilities to benchmark their performance in relation to other comparator utilities and countries. In doing so, this benchmarking data contributes to the improvement of the electricity sector by filling in knowledge gaps for the identification of the best performers (and practices) of the region. This benchmarking database consists of detailed information of 25 countries and 249 utilities in the region. The data collected for this benchmarking project is representative of 88 percent of the electrification in the region. Through in-house and field data collection, consultants compiled data based on accomplishments in output, coverage, input, labor productivity, operating performance, the quality of service, prices, and ownership. By serving as a mirror of good performance, the report allows for a comparative analysis and the ranking of utilities and countries according to the indicators used to measure performance. Although significant efforts have been made to ensure data comparability and consistency across time and utilities, the World Bank and the ESMAP do not guarantee the accuracy of the data included in this work. Acknowledgement: This benchmarking database was prepared by a core team consisting of Luis Alberto Andres (Co-Task Team Leader), Jose Luis Guasch (Co-Task Team Leader), Julio A. Gonzalez, Georgeta Dragoiu, and Natalie Giannelli. The team was benefited by data contributions from Jordan Z. Schwartz (Senior Infrastructure Specialist, LCSTR), Lucio Monari (Lead Energy Economist, LCSEG), Katharina B. Gassner (Senior Economist, FEU), and Martin Rossi (consultant). Funding was provided by the Energy Sector Management Assistance Program (ESMAP) and the World Bank. Comments and suggestion are welcome by contacting Luis Andres (landres@worldbank.org)1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...1Licence not specifiedalmost 3 years ago
- This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. The shapefile was generated from a raster dataset with a 200 m resolution,0 in a UTM zone 12, datum WGS 84 projection system. Citation: National Renewable Energy Laboratory & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- Combination of the following sources: 1) Data collected and prepared for a project of the World Bank Group in 2007, digitized from a PDF map. 2) ECREEE transmission network for West Africa, online at ECOWREX Includes existing as well as planned projects.1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Indonesia. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- This dataset tracks investments in geothermal power projects by Multi-lateral Development Banks (MDBs) since the ‘70s and the Climate Investment Funds (CIFs) more recently. All the information by project has been obtained from public sources, primarily the MDBs’ and CIFs’ websites. Figures have been converted to constant 2010 USD. The table provides information on the total estimated cost of each project and on the specific contribution by the relevant MDB or by the CIFs. The latter is then broken down according to the financing target. The break down is sometimes clearly provided in the project documents, while in other cases it is an estimate based on the project description as no figures were available1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in November 2004 2) The Africa Infrastructure Country Diagnostic (AICD) study This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- The result of a geospatial analysis performed by the World Bank for assessing Vietnam’s potential for solar PV deployment, ground mounting and floating. The analysis was performed using the MapRE tool and methodology developed by Berkley (http://mapre.lbl.gov/gis-tools/) and it made use of high accuracy Land Use/Land Cover data acquired from the client country. Three scenarios have been considered for ground mounting and two scenarios for floating solar, as described below.1Licence not specifiedalmost 3 years ago
- This layer contains the information about the first-level administrative boundaries (Districts) in Lesotho. SOURCE: WFP Country Office, 20141Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of the MENA region. Interconnection lines with countries outside of the region included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utilities.1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group in May 2004. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Extracts from World Bank Project documents.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Kuwait. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and Kuwait Ministry of Electricity & Water.1Licence not specifiedalmost 3 years ago
- Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Citation: DLR & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- This dataset contains the topography of Eswatini. The format is in tif.1Licence not specifiedalmost 3 years ago
- The Mining Investment and Governance Review (MInGov) is a tool used to systematically diagnose mining governance, improve sector performance, encourage investment, and facilitate engagement by civil society. MInGov data for individual countries are collected from a variety of sources (primary, secondary, and interviews) and made publicly available.1Licence not specifiedalmost 3 years ago
- This dataset represents the locations of existing mini-grids, mini-grids under development, proposed KOSAP mini-grids, and potential SHS markets in Kenya. This is the output of preliminary GIS analysis funded by the World Bank and undertaken in 2017. Please note that further detailed studies were undertaken to confirm locations of potential mini-grids and SHS markets to be developed as part of KOSAP (P160009) and therefore the locations to be developed may have changed since the time of this analysis.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Libya. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (GECOL).1Licence not specifiedalmost 3 years ago
- Ground measured solar irradiation and meteorological data for Laisamis, Narok and Homa Bay.1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Morocco. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (ONE).1Licence not specifiedalmost 3 years ago
- This dataset contains a population cluster (shapefile) of Somalia with the electrification scenarios. The scenarios assess the effect of different roll-out plans, demand levels, diesel costs, grid electricity costs, PV costs, and different types of restrictions or limitations on grid expansion. Results are presented for 2025 and 2030.1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group in January 2005. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- The Mining Investment and Governance Review (MInGov) analyzes the sector and its context to facilitate work on mining regulation, governance and investment. By June 2016, MInGov will have completed and published assessments of nine countries using a consistent, measurable, comparable and actionable methodology. These country assessments will include seven in Africa, one in Latin America and one in Asia.1Licence not specifiedalmost 3 years ago
- An extract from the Africa Infrastructure Country Diagnostic (AICD)1Licence not specifiedalmost 3 years ago
- Main nodes and major lines of the electricity transmission network of Qatar. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utility (KAHRAMAA).1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Plan data collected and prepared for a project of the World Bank Group in April 2014, digitized from a PDF map. Includes transmission lines and power stations. Includes existing as well as planned projects.1Licence not specifiedalmost 3 years ago
- Maps with worldwide wind speed and wind power density potential. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- World Bank has awarded Fraunhofer ISE to conduct a Solar Measurement Campaign for 12 months of measurements at 2 sites in Lebanon. Data will be uploaded in batches, on a monthly basis, and will include 1 minute average values for solar radiation components, temperature, air pressure and other auxiliary parameters . Both stations (LBRAS and LBAMA) are Tier 2 HelioScale phi stations with Rotating Shadowband Irradiometers.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) Lesotho Access to Electricity Study UNDP/GEF, 2000 3) OSM data © OpenStreetMap contributors1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) Africa Infrastructure Country Diagnostic (AICD) 2) OSM data © OpenStreetMap contributors 3) World Bank project archives1Licence not specifiedalmost 3 years ago
- The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset/cote-d-ivoire-administrative-boundaries1Licence not specifiedalmost 3 years ago
- Data collected and prepared from the Democratic Republic of Congo Power–Mining Map, for a WBG open knowledge repository book The Power of the Mine A Transformative Opportunity for Sub-Saharan Africa. Citation: “Banerjee, Sudeshna Ghosh; Romo, Zayra; McMahon, Gary; Toledano, Perrine; Robinson, Peter; Pérez Arroyo, Inés. 2015. The Power of the Mine : A Transformative Opportunity for Sub-Saharan Africa. Directions in DevelopmentEnergy and Mining;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/21402 License: CC BY 3.0 IGO.” This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- This is the list of localities recommended grid densification for the base case scenario in Zambia based on the least-cost geo-spatial analysis1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Japan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- This dataset consists of Customer that are connected to the grid in southern sector of Ghana. Electricity Company of Ghana (ECG), the agency that oversees the southern sector power distribution provided this dataset. This dataset was last updated in June 2014. Citation: Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- Interconnection of the Turkish electricity transmission network with Iraq and Syria. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Ghana Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit, 2005 3) The Africa Infrastructure Country Diagnostic (AICD) study1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in The Netherlands. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- These shapefiles contain commodity processing points (aquaculture, cassava, cocoa, cotton, palm oil, rice and sorghum) in Nigeria.1Licence not specifiedalmost 3 years ago
- Maps with wind speed and wind power density potential in East Asia and Pacific. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- This dataset, obtained from Surveyor General's Office, contains education facilities in Eswatini. The format is in shapefile (point).1Licence not specifiedalmost 3 years ago
- The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset/nga-administrative-boundaries1Licence not specifiedalmost 3 years ago
- The GIS Biomass Atlas of Vietam is the final output from the biomass resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Vietnam” [Project ID: P145513]. You can find more information about the project here: https://www.esmap.org/re_mapping_vietnam1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group in February 2017. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. Some existing lines extracted from OSM data © OpenStreetMap contributors. The majority of the data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Data collected as input to the geospatial least-cost plan for universal electricity access by 2030 developed as part of the ESMAP funded World Bank Nigeria Electricity Access Project (NEAP). The dataset covers the service area for the Kaduna Electricity Distribution Company (KEDCO) Nigeria. The data was downloaded on April 7th, 2016 for the four states of the Kaduna Electric utility coverage area: Kaduna, Kebbi, Sokoto and Zamfara. The data source for the nightlights data is from : Earth Observations Group (EOG) at NOAA/NGDC https://ngdc.noaa.gov/eog/viirs/download_dnb_composites.html The data was downloaded for the range of 20151101 to 20151130 2015. The data represent the light outputs from cities, towns, and other sites with persistent lighting, including gas flares. Ephemeral events, such as fires have been discarded. Then the background noise was identified and replaced with values of zero. The data was downloaded on 1/28/2016 for the West and North Africa region and then further clipped to only include the four states of the Kaduna Electric utility coverage area: Kaduna, Kebbi, Zamfara and Sokoto states.1Licence not specifiedalmost 3 years ago
- User manual for the ENERGYDATA.INFO platform. Latest revision: July 2018 Contact: energydata@worldbankgroup.org1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in The Republic of Korea. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group Energy Community of South East Europe APL 3 Montenegro Project in Montenegro. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P106899/energy-community-south-east-europe...1Licence not specifiedalmost 3 years ago
- This dataset represents potential expansion projects for existing mini-grids; the expansion projects were identified through a least-cost geospatial analysis undertaken over the period 2017-2018. Each project (defined by the unique “Project_Number”) includes electricity lines, poles, and building structures. Therefore, the dataset includes a combination of several feature types. The shapefiles are accompanied by the “Potential Mini-Grid expansion project cost” (included in the csv file). This csv file includes households/potential customers to be connected, line length by voltage level, project cost (in US$ million), and the cost per consumer for each unique mini-grid expansion project (again, defined by “Project_Number”).1Licence not specifiedalmost 3 years ago
- Estimated population layers: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) UNITS: Estimated persons per grid square MAPPING APPROACH: Random Forest DATE OF PRODUCTION: April 2016 Metadata: http://www.worldpop.org.uk/data/WorldPop_data/AllContinents/MMR-POP_meta... Data is source from worldpop.org.uk http://www.worldpop.org.uk/data/summary/?contselect=Asia&countselect=Mya... The Data is licensed under Creative Commons Attribution 4.0 International. To know more, please visit https://creativecommons.org/licenses/by/4.0/legalcode1Licence not specifiedalmost 3 years ago
- Transmission network for South Africa, including some lines down to 44 and 88 kV. Does not include any planned lines. Data is from a March 2017 extract from OpenStreetMap. All data © OpenStreetMap contributors.1Licence not specifiedalmost 3 years ago
- Solar resource, PV power potential and other parameters are provided in the form of raster (gridded) GeoTIFF format. The provided ZIP files to download contains the layers of: PVOUT (photovoltaic power potential), GHI (global horizontal irradiation), DIF (diffuse horizontal irradiation), GTI (global irradiation for optimally tilted surface), OPTA (optimum tilt of PV module to maximize the yearly yield), DNI (direct normal irradiation), TEMP (air Temperature at 2 m above ground level in °C), ELE (Terrain elevation above sea level in metres). There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month Data layers are provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit globalsolaratlas.info1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Denmark. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in 2003 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- This dataset is a global inventory of known wind masts for which there is access to corresponding wind measurement data, which aims to help improve developing country's knowledge and awareness of wind resources. Users are encouraged to contribute to the development of this dataset. If you have access to wind measurement data, please contact us for uploading the data on the platform and referencing it in the Global Wind Atlas: http://globalwindatlas.info1Licence not specifiedalmost 3 years ago
- This dataset is now superseded by the updated Africa Electricity Transmission and Distribution Grid Map (2017). Please use that if looking for the most up to date data. The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.1Licence not specifiedalmost 3 years ago
- Ground measured solar irradiation and meteorological data for Wadelai and Soroti1Licence not specifiedalmost 3 years ago
- This is the overhead MV lines that were mapped by ZESCO in Zambia1Licence not specifiedalmost 3 years ago
- The Global Tracking Framework (GTF) measures how the world is progressing toward Sustainable Energy for All, tracking country-level indicators for energy access, renewable energy and energy efficiency. The third edition of the GTF provides an evidence-based look at progress at the regional, country, and international level toward ensuring universal access to modern energy services, doubling the share of renewable energy in the global energy mix, and doubling the global rate of improvement in energy efficiency. The report provides an overview of long-term trends since 1990 and focuses on progress achieved in the most recent period, 2012–14. The Global Tracking Framework 2017 was led by the World Bank and International Energy Agency (IEA), in coordination with the Energy Sector Management Assistance Program (ESMAP) and over 20 other partner agencies (full list available at http://gtf.esmap.org/about-us) To learn more, please visit http://gtf.esmap.org/1Licence not specifiedalmost 3 years ago
- This dataset consists of grid connected solar installations. Their installed capacities in kilowatts (kW) are also provided. This dataset was last updated in June 2014. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge1Licence not specifiedalmost 3 years ago
- The dataset contains the geo-location info of the towns in Madagascar, but lacks town name and population. The data is curated from the Southern African Human-development Information Management Network (SAHIMS) static archive server https://web.archive.org/web/20070808004545/http://www.sahims.net:80/gis/... To view metadata, please visit https://web.archive.org/web/20070705025938/http://www.sahims.net:80/gis/...1Licence not specifiedalmost 3 years ago
- Data collected and prepared from the Kazakhstan’s National Transmission Grid map, for a WBG published report Stuck in transition: reform experiences and challenges ahead in the Kazakhstan power sector. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. To learn more, please visit http://www.worldbank.org/en/country/kazakhstan/publication/kazakhstan-po... Citation: Aldayarov, Mirlan; Dobozi, Istvan; Nikolakakis, Thomas. 2017. Stuck in transition : reform experiences and challenges ahead in the Kazakhstan power sector. Directions in Development. Energy and Mining. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/104181488537871278/Stuck-in-tr... This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
- This data comes from NamPower, the national power utility of Namibia.1Licence not specifiedalmost 3 years ago
- This is a combination of data from ESKOM, as well as from a World Bank project and IBRD map 19803.1Licence not specifiedalmost 3 years ago
- This dataset contains electricity transmission lines with different voltage levels as well as unidentified voltage in Kenya. The dataset was provided by Kenya Power and Lighting Company (KPLC).1Licence not specifiedalmost 3 years ago
- Map with worldwide Global Horizontal Irradiation (GHI), Direct Normal Irradiation (DNI) and PV power potential. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). Data is available as GEOTIF, AAIGRID or KML/KMZ file for GoogleEarth. The link also provides a poster size (.tif) and midsize map (.png).1Licence not specifiedalmost 3 years ago
- Maps with wind speed and wind power density potential for Sub-Saharan Africa. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Interconnection of the electricity transmission network of Palestine with Jordan. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity.1Licence not specifiedalmost 3 years ago
- Least-cost scenario - population connected to the grid extension1Licence not specifiedalmost 3 years ago
- This dataset includes rivers, towns, lakes, basins and demographic and climate indicators.1Licence not specifiedalmost 3 years ago
- This Building dataset includes the polygon describing its footprint on the ground, a confidence score, and the area of the polygon. Residential buildings are identified using only polygons with a confidence level above 0.7, and roof area between 37-145 m2 to get to the closest value as provided by the census data.1Licence not specifiedalmost 3 years ago
- The systematic review of published evidence on drivers of and barriers to transitioning populations to modern energy cooking services (MECS) was conducted under the MECS Program, a five-year initiative funded by UK Aid of the Foreign, Commonwealth and Development Office (FCDO) and led by Loughborough University and the World Bank's Energy Sector Management Assistance Program (ESMAP). The open-access interactive systematic map of 160 studies selected from over 14,000 articles in the global databases of research can be accessed here: https://esmap.github.io/evidencemap/fuel/ This dataset includes the following supplementary documents for the final report: i) the systematic review protocol; ii) a csv file that contains publications rejected at either title and abstract or full-text screening that did not meet the review criteria, as well as others that met the criteria but could not be found.1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Pakistan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Tanzania Electric Supply Company Limited (TANESCO) is a parastatal organization under the Ministry of Energy and Minerals. The Company generates, transmits, distributes and sells electricity to Tanzania Mainland and sells bulk power to the Zanzibar Electricity Corporation (ZECO) which in turn sells it to the public in islands Unguja and Pemba. TANESCO owns most of the electricity Generating, Transmitting and Distributing facilities in Tanzania Mainland. The dataset provides information on existing, under construction and proposed power stations for hydro, thermal and substations, as well as existing and under construction transmission lines. The data is geo-referenced , digitized and extracted from the national grid system map published in 2015 by TANESCO. The following links are datasets related to Tanzania's power systems that are provided by other sources and are available for data comparisons. Tanzania Power Plants (2015) https://energydata.info/dataset/tanzania-power-plants2015- Tanzania Electricity Transmission Network (2014) https://energydata.info/dataset/tanzania-electricity-transmission-networ... Tanzania Transmission Grid Network (2015) https://energydata.info/dataset/transmission-network-tanzania1Licence not specifiedalmost 3 years ago
- "This database has been collected by ESMAP as validation exercise for the multi-tier energy access questionnaire in Malawi. The multi-tier definition and measurement of energy access is an innovative approach that goes beyond the traditional binary measures of access. This approach defines energy access as the ability to access energy that is adequate, available when needed, reliable, good quality, affordable, legal, convenient, healthy, and safe across household, productive, and community uses. The Malawi database captures all the variables needed to calculate the attribute to measure energy access (availability, reliability, affordability, quality, duration…) under the new definition. Data are not representative of the country. For further information on the Multi-Tier Framework for Measuring Energy Access visit https://www.esmap.org/node/55526"1Licence not specifiedalmost 3 years ago
- Extracts taken from World Bank project archives.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Data collected by the Columbia Earth Institute. 3) Plan data collected and prepared for a project of the World Bank Group digitized from a PDF map.1Licence not specifiedalmost 3 years ago
- This data has been prepared for a World Bank project and represents the existing transmission lines, substations and power stations as of 2016. This data was obtained in a 2 phase process: 1. geo-reference of PDF map 2. digitization of transmission network Due to the quality of the PDF map, the geo-referencing process resulted in isolated horizontal and vertical displacements of 2 to 10 km; the final product contains only the rough location of the network elements and it is not suitable for applications requiring high accuracy data.1Licence not specifiedalmost 3 years ago
- The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.1Licence not specifiedalmost 3 years ago
- Data repository for measurements from 10 wind masts in Nepal. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/re-mapping/nepal For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).1Licence not specifiedalmost 3 years ago
- This research activity was carried out by Enclude for approximately 8,500 household survey across Pakistan to measure the energy access rates, consumption patterns and economic & psychographic drivers to ‘energy relevant’ behaviours. This data set provides a snapshot of electricity access in Pakistan that covers the level of electricity access by household (availability and use), awareness of available solutions, and willingness to pay and also provides information for behavioural & psychographic segmentation. For more information, please refer to the materials below: http://pubdocs.worldbank.org/pubdocs/publicdoc/2016/5/663781463774919478... http://pubdocs.worldbank.org/pubdocs/publicdoc/2016/5/604031463774918028... Funded by the Asia Sustainable & Alternative Energy Program (ASTAE), a multi-donor trust fund administered by the WB. World Bank contact Clara Ivanescu (civanescu@worldbank.org)1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in The United States of America. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- The Global Electrification Platform (GEP) is a multi-phase project led by the World Bank to standardize and simplify the use of geospatial tools for least-cost electrification planning. The GEP provides a high-level overview of the technology mix (grid and off-grid) required to achieve universal access by 2030. It focuses on the countries with access rates below 90 percent and the 50 countries with the highest population deficit, with an intermediated investment prospectus for 2025. The results of the model indicate the least-cost investment requirements based on publicly available information on demand and existing infrastructure.1Licence not specifiedalmost 3 years ago
- This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India. The database is primarily based on the information provided by FAO Aquastat Database (http://www.fao.org/nr/water/aquastat/sets/index.stm#dams) and on the data gathered from World Bank hydro projects. The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource maps. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY18 pilot, the work is likely to be scaled up to provide global coverage.1Licence not specifiedalmost 3 years ago
- The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset/drc-administrative-boundaries-levels-0-31Licence not specifiedalmost 3 years ago
- Data collected and prepared for a project of the World Bank Group Electricity Market Project in Romania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P081406/electricity-market-project?lang=en1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in India. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- Maps with wind speed, wind rose and wind power density potential in Vietnam. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).1Licence not specifiedalmost 3 years ago
- The dataset contains the location(point) of mini-grids in Somaliland1Licence not specifiedalmost 3 years ago
- The Mining Investment and Governance Review (MInGov) is a tool used to systematically diagnose mining governance, improve sector performance, encourage investment, and facilitate engagement by civil society. MInGov data for individual countries are collected from a variety of sources (primary, secondary, and interviews) and made publicly available.1Licence not specifiedalmost 3 years ago
- Combination of the following data sources: 1) Africa Infrastructure Country Diagnostic (AICD) 2) OSM data © OpenStreetMap contributors 3) Report from World Bank project archives1Licence not specifiedalmost 3 years ago
- The dataset contains education and health facilities in Mauritania1Licence not specifiedalmost 3 years ago
- The data includes the protected areas national parks, World Heritage Site, reserves in DRC. The World Database on Protected Areas (WDPA) is a joint project between the United Nations Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), managed by United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC). Citation: UNEP-WCMC (2016). World Database on Protected Areas https://www.protectedplanet.net/1Licence not specifiedalmost 3 years ago
- Monthly biomass production Ethiopia 2013 & 20171Licence not specifiedalmost 3 years ago
- Existing lines extracted from OSM data © OpenStreetMap contributors. Data collected and prepared for a project of the World Bank Group in November 2013. Includes transmission lines, substations, as well as power stations. The grid lines are sourced from OSM, and have not been thoroughly verified for accuracy. This other data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.1Licence not specifiedalmost 3 years ago
Title
Updated