There are 88 The University of Oklahoma locations in the United States of America as of June 02, 2026. The state or territory with the most The University of Oklahoma locations is Oklahoma, with 87 sites, accounting for roughly 98.9% of the total.


The University of Oklahoma operates 88 United States of America locations across 2 states. Largest clusters are in Oklahoma and Virginia; the top 10 states contain 100.0% of sites. Coverage is thinner in Oklahoma and Virginia.

The University of Oklahoma has a total of 88 locations across the United States, with 98.9% (87 locations) situated in Oklahoma. Virginia hosts only one location, representing 1.1% of the total. Oklahoma offers the best access with a population per location of 45,638, while Virginia is the most stretched state with a population per location of 8,624,511. All locations are concentrated within these top two states.
Locations concentrate around major metros such as Cleveland, Tulsa, Oklahoma, Arlington, and Marshall. The top 10 cities account for 100.0% of U.S. sites.

The University of Oklahoma has a total of 88 locations across the United States. Cleveland, Oklahoma, hosts the majority with 67 locations, followed by Tulsa with 13 and Oklahoma city with 5. The top 10 cities, including smaller locations in Arlington, Virginia, Marshall, and Wagoner in Oklahoma, account for 100% of the brand's presence.
Street-level clusters show corridors where multiple The University of Oklahoma locations sit within the same neighborhood indicating strong local presence and coherence. The University of Oklahoma operates a total of 88 nationwide.

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

The University of Oklahoma has 88 locations across the United States of America. The key variables shows the most infleuntial aspects for The University of Oklahoma locations nationwide. This provides a closer look of how The University of Oklahoma is operating from different prespectives.

The University of Oklahoma's state land area data highlights Oklahoma as the largest state with 181,037.89 km² and 87 locations. Virginia is the smallest state listed, covering 110,786.26 km² with just one location. Oklahoma notably dominates in both area and location count within this dataset.

The University of Oklahoma has a total of 87 business locations in the United States, with 83 open and 2 closed in Oklahoma, resulting in a 95.4% open rate. In Virginia, there is one location that is closed, yielding a 0% open rate.
This section summarizes customer sentiment toward The University of Oklahoma. Using ratings and review totals from 88 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.

The University of Oklahoma has its highest average rating of 4.1 in Oklahoma, which also leads in review count with 1,810 reviews. Virginia shows a notably lower average rating of 2.5, accompanied by just 2 reviews. These figures highlight a strong regional preference and engagement in Oklahoma compared to Virginia.
The University of Oklahoma received the highest number of reviews from Oklahoma, totaling 1,810, with an average rating of 4.1. Virginia had the lowest average rating at 2.5 and only 2 reviews. These states represent the extremes in both review volume and average rating for the brand in the United States.

The University of Oklahoma has complete phone coverage in both Oklahoma and Virginia, with 100% of individuals having phones in each state. Specifically, all 87 individuals in Oklahoma and the single individual in Virginia are covered.
The University of Oklahoma 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.