This layer displays electric vehicle charging stations that are collocated within 250ft of a gas station across the state of Washington. Data is sourced from the U.S. Department of Energy's National Renewable Energy Lab (NREL). AFDC Data Source: Alternative Fuel Stations - ESRI Feature Service (Authoritative) Business Analyst Data Sources: Data Axel - Gasoline Service Stations SafeGraph - Gasoline Stations with Convenience Stores FourSquare - Fuel Stations and Truck Stops REST URL: https://services.arcgis.com/IYrj3otxNjPsrTRD/ArcGIS/rest/services/AFDC_Feature_Layers/FeatureServer Distance from AFDC Charging Station to nearest gas station measured in U.S. Feet (Geodesic). Data last updated: 11/22/2024 Please direct questions about this layer to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.
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Analysis of ‘ESRI Population Projections by Local Authority’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-data-usmart-io-org-ae1d5c14-c392-4c3f-9705-537427eeb413-dataset-viewdiscovery-datasetguid-87d49471-33e5-4ec8-8cde-69ed29de6da2 on 12 January 2022.
--- Dataset description provided by original source is as follows ---
Population projection by scenario, year of age and local authority, for the 4 scenarios described in the project methodology for years 2017-2040. https://www.esri.ie/publications/regional-demographics-and-structural-housing-demand-at-a-county-level
The 4 scenarios are:
Baseline/Business as usual – based on medium term projections for the economy with an underlying assumption that net inwards migration would converge to 15,000 p.a. by 2024 and remain at that level throughout the projection horizon.
50:50 City – based on a similar outlook in terms of net inwards migration but whereby population growth is distributed in line with the objectives of the National Planning Framework (See National Policy Objectives 1a and 2a of https://npf.ie/wp-content/uploads/Project-Ireland-2040-NPF.pdf)
High Migration – assumes that net inwards migration stays at an elevated level throughout the projection horizon (net inwards migration of 30,000 p.a)
Low Migration - assumes that net inwards migration falls to net inwards migration of 5,000 by 2022 before converging back to the business as usual levels (i.e. net inwards migration of 15,000 p.a.) by 2027 and remaining at that level thereafter.
--- Original source retains full ownership of the source dataset ---
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The global GIS mapping tools market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors: the rising adoption of cloud-based GIS solutions offering enhanced accessibility and scalability, the escalating need for precise spatial data analysis in urban planning and resource management, and the expanding application of GIS in geological exploration for efficient resource discovery and extraction. Furthermore, advancements in location-based services (LBS) and the integration of GIS with other technologies such as IoT and AI are creating new opportunities and driving market expansion. While the market size in 2025 is estimated at $15 billion (a reasonable assumption considering similar market sizes for related technologies), the Compound Annual Growth Rate (CAGR) is projected to remain strong, likely exceeding 8% through 2033. This sustained growth indicates a highly promising market outlook for vendors and investors. However, market growth is not without challenges. High initial investment costs for sophisticated GIS software and the requirement for skilled personnel to operate and maintain these systems can pose barriers to entry, particularly for smaller organizations. Additionally, data security concerns and the need for robust data management strategies are critical factors impacting market adoption. Despite these constraints, the continued integration of GIS tools into various business processes and the growing availability of user-friendly, affordable solutions are expected to mitigate these challenges and propel the market towards sustained and significant growth in the coming years. Segmentation reveals a strong preference for cloud-based solutions due to their flexibility and cost-effectiveness, with the geological exploration and urban planning applications exhibiting the highest growth rates. Key players such as Esri, Autodesk, and Hexagon are strategically positioned to capitalize on these trends.
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This layer displays electric vehicle charging stations that are collocated within 250ft of a gas station across the state of Washington. Data is sourced from the U.S. Department of Energy's National Renewable Energy Lab (NREL). AFDC Data Source: Alternative Fuel Stations - ESRI Feature Service (Authoritative) Business Analyst Data Sources: Data Axel - Gasoline Service Stations SafeGraph - Gasoline Stations with Convenience Stores FourSquare - Fuel Stations and Truck Stops REST URL: https://services.arcgis.com/IYrj3otxNjPsrTRD/ArcGIS/rest/services/AFDC_Feature_Layers/FeatureServer Distance from AFDC Charging Station to nearest gas station measured in U.S. Feet (Geodesic). Data last updated: 11/22/2024 Please direct questions about this layer to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.