What is Gas Station Location Data? Examples, Datasets and Providers
What is Gas Station Location Data?
Gas station location data refers to information that identifies the geographical coordinates or addresses of gas stations. This data is critical for businesses involved in transportation, logistics, and fuel supply chains. It can be used for market analysis, route optimization, and competitor benchmarking. Fuel companies, navigation systems, and retail operations rely on this data to understand where stations are located and plan accordingly. If you’re working in fleet management or supply chain logistics, this data can help you optimize routes and reduce operational costs.
What Are Examples of Gas Station Location Data?
Gas station location data typically includes key attributes such as the station’s name, address, latitude and longitude coordinates, brand (if available), and operational hours. Some datasets also provide additional features, such as fuel types available (e.g., diesel, electric charging points), amenities (e.g., convenience stores, car washes), and customer reviews. For businesses looking for detailed insights, it’s advisable to select datasets that include these additional attributes.
Best Gas Station Location Datasets & APIs
Locationscloud -Gas Station Location Data | Complete List of All Gas Station Locations | USA | Canada
xavvy: Gas Station Location Data USA | 131k+ Stations with 75+ Attributes | weekly updates | API & Datasets
Global Fuel & Charging Station Data
xavvy: Gas Station Location Data Europe | 140K+ Stations, 400+ Attributes | 25+ Fuel Types, 60+ Services | Weekly updates | API & Datasets available.
Global Store Location Data | Business Location Data | Places Data: Categorized Branded Retail Locations
Gas PECO Stations POI Data for Republic of Moldova
Global Location Data Worldwide Coverage | Outscraper
xavvy: Gas Station Location Data Europe | 140k+ Stations with 400+ Attributes | 25+ Fuel Types and 60+ Services | weekly updates | API & Datasets
Locationscloud - Convenience Stores Location Data | Complete List of All Convenience Stores Locations | USA | Canada | UK
BestPlace: POI Dataset, GIS Database, Census data for Retail CPG & FMCG analytics
Monetize data on Datarade Marketplace
Gas Station Location Data Use Cases
Frequently Asked Questions
How Accurate is Gas Station Location Data?
The accuracy of gas station location data is generally high, with some providers reporting match rates as high as 95% to 97%. For industries like logistics or transportation, where accurate data is essential for route planning and fuel management, we recommend opting for datasets that are regularly validated through manual or automated processes.
How is Gas Station Location Data Delivered?
Gas station location data can be delivered in various formats, such as .csv, .json, or through APIs. Delivery methods include cloud storage services like S3 buckets, email, or via FTP for easy integration into your systems. For businesses requiring continuous updates, API integration offers a real-time solution.
How Much Does Gas Station Location Data Cost?
The cost of gas station location data varies depending on the dataset’s size, geographic coverage, and update frequency. Pricing models can range from $0.10 per data point for one-off purchases to annual subscriptions costing several thousand dollars, depending on your specific needs. Free samples are available on Datarade, which allows you to assess the quality of the data before purchasing.
What Geographic Areas Are Covered by Gas Station Location Data?
Gas station location data is available for regions around the world, covering countries like the USA, Canada, the UK, Germany, and many others. Some datasets offer global coverage, which is useful for businesses with international operations or those analyzing global fuel markets.
Can Gas Station Location Data Be Integrated with Other Data Types?
Yes, gas station location data can be combined with other datasets, such as traffic data, demographic insights, and competitor analysis. This integration can help businesses better understand consumer behavior, optimize fuel distribution routes, or assess market competition.
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