Profile
Electric Charging Station San Antonio TX US
COSA Aviation Airport ST 13 is an electric vehicle (EV) charging station located at 9559 Airport Boulevard in San Antonio, Texas. This facility provides essential charging infrastructure for EV owners, supporting convenient and efficient recharging of electric vehicles. Positioned near the San Antonio International Airport, the station caters to travelers, commuters, and local users seeking reliable access to charging services during their visits to the area.
Notable for its strategic location along a major transportation corridor, the station offers a dependable option for EV drivers requiring charging before or after air travel. While specific technical details about charger types or speeds are not provided, the site is designed to accommodate the needs of modern electric vehicles, ensuring accessibility and ease of use. Its proximity to the airport makes it a valuable resource for those navigating the region, combining practicality with seamless integration into San Antonio’s growing EV ecosystem.
Location Reviews
No user reviews are available for electric charging stations in San Antonio, Texas. The provided content consists of statistical data and general information about the city’s EV charging infrastructure. San Antonio has 562 public charging station ports (Level 2 and Level 3) within a 15 km radius, with 70% being Level 2 stations and 30% Level 3. Approximately 26% of the ports (146 stations) offer free charging. Major networks include ChargePoint, Tesla, and Blink, with popular locations such as The Shops at La Cantera, City Hall, and H-E-B stores. The data highlights the city’s investment in EV infrastructure but does not include user feedback or sentiment analysis.
The information underscores the availability of charging options, particularly the prevalence of Level 2 stations and the presence of free charging ports. However, the lack of user reviews means no specific positives (e.g., convenience, reliability) or negatives (e.g., long wait times, limited accessibility) can be identified. The data is primarily technical, focusing on station counts, network distribution, and locations rather than experiential insights.