Containing data on 196,643 gas stations within USA, this dataset offers a comprehensive view of the gas station landscape in the country. Each entry includes vital information such as the station’s name, address, contact details, website link, review counts, and 20 additional attributes. Notably, brand identification features are also provided, enhancing the depth of analysis.
The Gas/Petrol Stations POI dataset for the United States of America (USA) provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on gas stations. These POIs play a crucial role in navigation systems and location-based services, facilitating efficient wayfinding and enhancing user experiences.
This dataset employs various categorization methods to classify gas stations based on type, subtype, location, and attributes. The type categorization encompasses broad classifications like restaurants, parks, and shopping malls, while subtypes offer finer granularity such as specific types of restaurants or specialized parks. Location data pinpoints the exact geographical coordinates of each gas station, enabling precise mapping. Furthermore, the dataset offers an array of attributes that furnish additional information about these gas stations, including contact details, operational hours, and other relevant data.
The Gas/Petrol Stations POI dataset for the United States of America (USA) provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on gas stations. These POIs play a crucial role in navigation systems and location-based services, facilitating efficient wayfinding and enhancing user experiences.
How can this dataset benefit you?
Researchers can utilize this dataset to analyze the distribution of gas stations across different regions and assess market competition.
City planners can employ this dataset to understand the distribution of essential services like gas stations in various areas, aiding in urban development.
Businesses can leverage the dataset’s attributes, such as review counts and operational hours, to gain insights into consumer preferences and optimize their strategies.
The landscape of gas stations across the United States is characterized by a diverse and extensive distribution, covering urban centers, suburban neighborhoods, and remote rural areas. This wide distribution ensures that fueling services are accessible to all, from bustling city streets to the quietest country roads, reflecting the country's reliance on automobiles for transportation.
Shell Gas Stations, with a total of 13,598 locations across the United States, showcase a significant presence in the fueling industry. Their strategic placement spans major highways, urban hubs, and suburban areas, providing convenient access to quality fuel and services for millions of Americans and contributing substantially to the national energy infrastructure.
The traffic score and popularity of gas stations across the U.S are influenced by various factors including location, service quality, and additional amenities. Stations situated on busy highways or in densely populated urban areas tend to have higher traffic scores and popularity, serving as crucial pit stops for commuters and travelers seeking fuel, food, and rest.
Customer ratings of gas stations in the U.S reflect the quality of service, cleanliness, pricing, and the availability of amenities such as convenience stores. High-rated stations often exceed in providing excellent customer service and maintaining clean, well-stocked facilities, thereby attracting more customers and setting industry standards.
The distribution of gas stations in the U.S varies by state, influenced by population density, geographic size, and transportation infrastructure. States with larger urban populations and extensive road networks, like California and Texas, have a higher concentration of gas stations to cater to the fueling needs of residents and transit traffic, while less populous states may have fewer stations, strategically placed to serve local and passing drivers efficiently.
xMap empowers businesses with unparalleled location intelligence and comprehensive data analysis, guiding them towards market leadership and growth.
Find answers to commonly asked questions about our spatial analyst platform.
196,643
Yes, our dataset is compatible with major GIS platforms, allowing for seamless integration and analysis.
Absolutely. It can be integrated with economic, geographic, and other datasets for a multifaceted analysis of Oman’s socio-economic landscape.
.png){kind=icon}
.svg){kind=icon}
