There are 30 Kean University locations in the United States of America as of June 03, 2026. The state or territory with the most Kean University locations is NewJersey, with 30 sites, accounting for roughly 100.0% of the total.


Kean University operates 30 United States of America locations across 1 states. Largest clusters are in NewJersey; the top 10 states contain 100.0% of sites. Coverage is thinner in NewJersey.

Kean University has a total of 30 locations, all of which are situated in New Jersey, representing 100% of its presence in the United States. The top three and top ten states by location count are exclusively New Jersey, each accounting for the full 100% share. There are no other states with locations for this brand.
Locations concentrate around major metros such as Union and Morris. The top 10 cities account for 100.0% of U.S. sites.

Kean University has a total of 30 locations in the United States, with 29 situated in Union, New Jersey, and 1 in Morris, New Jersey. The top 10 cities account for 100% of its locations, indicating a concentrated presence primarily in these two cities.
Street-level clusters show corridors where multiple Kean University locations sit within the same neighborhood indicating strong local presence and coherence. Kean University operates a total of 30 nationwide.

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

Kean University has 30 locations across the United States of America. The key variables shows the most infleuntial aspects for Kean University locations nationwide. This provides a closer look of how Kean University is operating from different prespectives.

Kean University has 30 locations in New Jersey, which is the only state listed for its presence. The table does not provide specific land area data for New Jersey, so no comparisons of state land size can be made.

Kean University has a total of 30 locations in New Jersey, with 18 currently open and 4 closed. The open locations represent 60% of the total in the state.
This section summarizes customer sentiment toward Kean University. Using ratings and review totals from 30 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.

Kean University has its highest average rating of 4.3 in New Jersey. The state also leads in the number of reviews, with a total of 148. This highlights New Jersey as the most engaged and positively rated state for the brand.
Kean University received the highest average rating of 4.3 in New Jersey. The state also led in total reviews, contributing 148 to the overall count. No other states surpassed New Jersey in either average rating or review volume.

Kean University has complete phone coverage in New Jersey, with all 30 locations equipped with phones. This represents a 100% coverage rate within the state. No other states are listed for phone coverage.
Kean 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.