There are 23 Volaris locations in the United States of America as of January 26, 2026. The state or territory with the most Volaris locations is California, with 6 sites, accounting for roughly 26.1% of the total.


Volaris operates 23 United States of America locations across 11 states. Largest clusters are in California, Texas, and Florida; the top 10 states contain 95.7% of sites. Coverage is thinner in Oregon, Washington, and Wisconsin.

Locations concentrate around major metros such as Cook, Tarrant, Alameda, Clark, and Bexar. The top 10 cities account for 52.2% of U.S. sites.

Street-level clusters show corridors where multiple Volaris locations sit within the same neighborhood indicating strong local presence and coherence. Volaris operates a total of 23 nationwide.

The complete dataset of Volaris locations across the United States of America is available for download, including coordinates, traffic patterns, and operational status.

Volaris has 23 locations across the United States of America. The key variables shows the most infleuntial aspects for Volaris locations nationwide. This provides a closer look of how Volaris is operating from different prespectives.

The table summarizes land area for the top states by location count.

This section summarizes customer sentiment toward Volaris. Using ratings and review totals from 23 locations, we highlight where scores are consistently high and where feedback volume is greatest. Average star ratings reflect perceived quality, while total reviews indicate engagement and reach across the network.


Volaris POI data enables clear measurement of footprint and demand. Analysts can rank states and cities by location count, compare coverage on a per-capita basis, and use traffic scores and review volumes to spot high-performing markets and under-served pockets. The result is an objective view of saturation, growth opportunities, and performance outliers.
For network planning, the data supports scoring candidate trade areas using location density, population per location, and nearby traffic intensity. Teams can evaluate cannibalization risk via nearest-store distance, surface whitespace along key corridors, and prioritize sites near retail anchors, campuses, or transit where observed activity is strongest.
Planners can map clusters and service gaps to understand commercial access at the neighborhood level. Per-capita coverage highlights communities with limited access, while changes in openings or closures signal shifts in activity. These insights inform corridor revitalization, streetscape and transit planning, and data-driven zoning decisions.