There are 42 Columbia University locations in the United States of America as of June 02, 2026. The state or territory with the most Columbia University locations is NewYork, with 41 sites, accounting for roughly 97.6% of the total.


Columbia University operates 42 United States of America locations across 2 states. Largest clusters are in NewYork and NewJersey; the top 10 states contain 100.0% of sites. Coverage is thinner in NewYork and NewJersey.

Columbia University has a total of 42 locations in the United States, with 97.6% situated in New York and a single location in New Jersey accounting for 2.4%. The top three and top ten states each represent 100% of the locations, indicating a concentrated presence primarily in these two states. No states are identified as having the best access or being most stretched.
Locations concentrate around major metros such as NewYork, Bronx, and Morris. The top 10 cities account for 100.0% of U.S. sites.

Columbia University has a total of 42 locations in the United States, with 40 situated in New York City. The Bronx and Morris, New Jersey, each host one location. All locations are concentrated within the top three cities, accounting for 100% of the brand's presence.
Street-level clusters show corridors where multiple Columbia University locations sit within the same neighborhood indicating strong local presence and coherence. Columbia University operates a total of 42 nationwide.

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

Columbia University has 42 locations across the United States of America. The key variables shows the most infleuntial aspects for Columbia University locations nationwide. This provides a closer look of how Columbia University is operating from different prespectives.

Columbia University has 42 locations across the United States, with 41 in New York and 1 in New Jersey. New York is both the largest and smallest state listed, though specific land area data is not provided. The distribution highlights a strong concentration of Columbia University sites in New York.

Columbia University has a total of 42 business locations in the United States, with 41 in New York and 1 in New Jersey. In New York, 90.2% of these locations are open, totaling 37 open and 2 closed. The sole location in New Jersey is closed, resulting in a 0% open rate there.
This section summarizes customer sentiment toward Columbia University. Using ratings and review totals from 42 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.

Columbia University has the highest average rating of 5.0 in New Jersey, followed by New York with an average rating of 4.4. New York also leads in the number of reviews, totaling 2,696, while New Jersey has 11 reviews.
Columbia University received the highest number of reviews from New York, totaling 2,696, with an average rating of 4.4. New Jersey had fewer reviews at 11 but recorded the highest average rating of 5.0. These two states lead in both review count and average rating in the United States.

Columbia University has complete phone coverage in both New York and New Jersey, with 100% of listings including phone numbers. Specifically, all 41 entries in New York and the single entry in New Jersey have phone contact information.
Columbia 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.