There are 2,289 Panda Express locations in the United States of America as of November 17, 2025. The state or territory with the most Panda Express locations is California, with 594 sites, accounting for roughly 26.0% of the total.


Panda Express operates 2,289 United States of America locations across 50 states. Largest clusters are in California, Texas, and Arizona; the top 10 states contain 67.0% of sites. Coverage is thinner in New Hampshire, Rhode Island, and Wyoming.

Panda Express shows strong visitor engagement: 1102 locations are above the mean traffic score (mean: 57.38) and 321 qualify as highly visited.
Panda Express operates 2,289 locations across the United States, with California hosting the largest share at 594 locations, representing 26.0% of the total. The top three states—California, Texas, and Arizona—account for 43.9% of all locations, while the top ten states cover 67.0%. Nevada, Hawaii, and Arizona offer the best access with the lowest populations per location, around 45,000 to 64,000 residents each. Conversely, Connecticut, Massachusetts, and New Hampshire have the most stretched coverage, with over 1.3 million people per location.
Locations concentrate around major metros such as Los Angeles, Maricopa, San Diego, Clark, and Cook. The top 10 cities account for 24.6% of U.S. sites.

Panda Express has a total of 2,289 locations across the United States. The top 10 cities account for 24.6% of these locations, with Los Angeles, California leading at 154 locations. Other notable cities include Maricopa, Arizona with 72 locations and San Diego, California with 60. California cities dominate the list, comprising six of the top 10 locations.
Street-level clusters show corridors where multiple Panda Express locations sit within the same neighborhood indicating strong local presence and coherence. Panda Express operates a total of 2289 nationwide.

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

Panda Express has 2289 locations across the United States of America. The key variables shows the most infleuntial aspects for Panda Express locations nationwide. This provides a closer look of how Panda Express is operating from different prespectives.

Panda Express locations in the United States are distributed across states with varying land areas. Texas, the largest state listed, spans 695,668 km² and hosts 298 locations, while Ohio is the smallest at 116,098 km² with 49 locations. California has the highest number of locations at 594, covering an area of 423,965 km². Other states like Arizona and Florida each have 112 locations despite differing land sizes.

Panda Express has a total of 594 open locations in California, the highest among the listed states. Texas follows with 298 open stores, while Florida and Arizona each have 112 open locations. All 10 states reported have 100% of their Panda Express outlets open, with no closures.
This view compares activity near Panda Express locations across states. Using traffic scores observed around 2,289 sites, it highlights the busiest markets, states with a high share of above-average locations, and areas where activity is comparatively light. Use it to benchmark performance, prioritize field operations, and spot expansion or optimization opportunities.

Panda Express locations in Florida and Washington have the highest percentage of busy sites at 25.0%, each with 28 and 17 busy locations respectively. Texas follows closely with 24.2% busy locations out of 298 total. California has the largest number of busy locations at 137, representing 23.1% of its 594 total sites. Other states like Arizona, Illinois, and Ohio also maintain busy location percentages around 24%.
This section summarizes customer sentiment toward Panda Express. Using ratings and review totals from 2,289 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.

Panda Express has the highest average ratings of 3.8 in California and Nevada. Florida, Georgia, and Illinois follow closely with average ratings of 3.7. California also leads in review volume with 267,517 reviews, while Texas and Florida have 190,116 and 85,931 reviews respectively.
Panda Express received the highest average ratings in California and Nevada, both at 3.8, followed closely by Florida, Georgia, and Illinois at 3.7. California also led in total reviews with 267,517, significantly ahead of Texas with 190,116 reviews. Florida, Arizona, and Illinois rounded out the top five states by review count.

Panda Express has full phone coverage in all listed states across the United States. California leads with 594 locations, followed by Texas with 298. Each state, including Arizona, Florida, and Illinois, shows 100% phone availability for all locations. The smallest counts are in Ohio with 49 and Colorado with 56 locations, both also fully covered.
Panda Express 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.