There are 32 Cornell University locations in the United States of America as of June 02, 2026. The state or territory with the most Cornell University locations is NewYork, with 32 sites, accounting for roughly 100.0% of the total.


Cornell University operates 32 United States of America locations across 1 states. Largest clusters are in NewYork; the top 10 states contain 100.0% of sites. Coverage is thinner in NewYork.

Cornell University has a total of 32 locations exclusively in New York, accounting for 100% of its presence in the United States. The top three and top ten states by location count are identical, each representing 100% of the brand's locations. No other states contribute to Cornell University's location distribution.
Locations concentrate around major metros such as Tompkins and Ontario. The top 10 cities account for 100.0% of U.S. sites.

Cornell University has a total of 32 locations in the United States. The vast majority, 31 locations, are in Tompkins, New York, while Ontario, New York, hosts a single location. All locations are concentrated within these two cities, representing 100% of the total.
Street-level clusters show corridors where multiple Cornell University locations sit within the same neighborhood indicating strong local presence and coherence. Cornell University operates a total of 32 nationwide.

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

Cornell University has 32 locations across the United States of America. The key variables shows the most infleuntial aspects for Cornell University locations nationwide. This provides a closer look of how Cornell University is operating from different prespectives.

Cornell University is associated with 32 locations in New York, which is the only state listed in the table. However, the specific land area in square kilometers for New York is not provided. As a result, New York is both the largest and smallest state by area in this dataset.

Cornell University in New York has 30 open locations and no closed ones, with an open percentage of 93.8% out of a total of 32 sites. This indicates a strong presence with minimal closures in the state.
This section summarizes customer sentiment toward Cornell University. Using ratings and review totals from 32 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.

Cornell University has its highest average rating of 4.3 in New York. This state also leads in the number of reviews, with a total of 141. No other states are listed for comparison.
Cornell University received the highest average rating of 4.3 in New York. The state also led in total reviews, with 141 submissions. No other states are listed for comparison.

Cornell University has full phone coverage in New York, with all 32 locations equipped with phones. This represents 100% coverage for the state.
Cornell University 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.