There are 14 SwimJim locations in the United States of America as of January 12, 2026. The state or territory with the most SwimJim locations is NewYork, with 9 sites, accounting for roughly 64.3% of the total.


SwimJim operates 14 United States of America locations across 2 states. Largest clusters are in NewYork and Texas; the top 10 states contain 100.0% of sites. Coverage is thinner in NewYork and Texas.

SwimJim operates 14 locations across the United States, with 64.3% situated in New York and 35.7% in Texas. Texas has a population per location of 5,848,668, making it both the best access and most stretched state for the brand. The top three and top ten states collectively account for 100% of SwimJim's locations.
Locations concentrate around major metros such as NewYork, Harris, FortBend, and Queens. The top 10 cities account for 100.0% of U.S. sites.

SwimJim operates 14 locations across the United States, with all situated within the top 10 cities. New York, New York, leads with 8 locations, followed by Harris, Texas, with 4. Fort Bend, Texas, and Queens, New York, each have a single location. These top cities account for 100% of SwimJim's presence in the country.
Street-level clusters show corridors where multiple SwimJim locations sit within the same neighborhood indicating strong local presence and coherence. SwimJim operates a total of 14 nationwide.

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

SwimJim has 14 locations across the United States of America. The key variables shows the most infleuntial aspects for SwimJim locations nationwide. This provides a closer look of how SwimJim is operating from different prespectives.

SwimJim's data for the United States shows Texas as both the largest and smallest state by land area, measuring approximately 695,668 km². Texas also ranks second in location count with 5 sites, while New York leads with 9 locations despite missing land area data. This highlights Texas as a notable outlier in size within the dataset.

SwimJim operates nine locations in New York, with 66.7% currently open and three closed. In Texas, the brand has five locations, but only 20% remain open while four are closed. New York shows a higher proportion of open businesses compared to Texas.
This section summarizes customer sentiment toward SwimJim. Using ratings and review totals from 14 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.

SwimJim's highest average ratings in the United States are in Texas with a perfect 5.0 and New York at 4.5. New York leads in review volume with 506, followed by Texas with 185 reviews. These states represent the brand's strongest regional performance by rating and engagement.
SwimJim's highest average ratings come from Texas with a perfect 5.0 and New York at 4.5. New York leads in total reviews, contributing 506, followed by Texas with 185 reviews. These two states represent the brand's most significant engagement in the United States.

SwimJim achieved full phone coverage in both New York and Texas, with 9 out of 9 locations and 5 out of 5 locations respectively having phones. This results in a 100% phone availability rate in these states.
SwimJim 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.