There are 965 Snap Fitness locations in the United States of America as of January 11, 2026. The state or territory with the most Snap Fitness locations is Minnesota, with 117 sites, accounting for roughly 12.1% of the total.


Snap Fitness operates 965 United States of America locations across 47 states. Largest clusters are in Minnesota, Wisconsin, and Michigan; the top 10 states contain 55.2% of sites. Coverage is thinner in Maine, NewHampshire, and Wyoming.

Snap Fitness shows strong visitor engagement: 222 locations are above the mean traffic score (mean: 40.67) and 74 qualify as highly visited.
Snap Fitness operates 965 locations across the United States, with Minnesota leading at 117 locations, representing 12.1% of the total and the best access at one location per 48,678 people. Wisconsin and Michigan follow with 77 and 62 locations respectively, together the top three states account for 26.5% of all locations. The top ten states hold 55.2% of locations, while California, despite having 26 locations, shows the most stretched access with one location per 1,513,696 people.
Locations concentrate around major metros such as Hennepin, Kent, Waukesha, Dakota, and Stearns. The top 10 cities account for 11.0% of U.S. sites.

Snap Fitness operates 965 locations across the United States, with the top 10 cities accounting for 11% of all locations. Hennepin, Minnesota, leads with 21 locations, followed by Kent, Michigan, with 12. Several Minnesota cities, including Dakota, Stearns, and Wright, rank prominently in the top 10 by location count.
Street-level clusters show corridors where multiple Snap Fitness locations sit within the same neighborhood indicating strong local presence and coherence. Snap Fitness operates a total of 965 nationwide.

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

Snap Fitness has 965 locations across the United States of America. The key variables shows the most infleuntial aspects for Snap Fitness locations nationwide. This provides a closer look of how Snap Fitness is operating from different prespectives.

Snap Fitness locations in the United States show varied distribution across states with different land areas. Texas, the largest state at 695,668 km², hosts 62 locations, while Ohio, the smallest among the listed states at 116,098 km², has 38 locations. Minnesota has the highest number of locations at 117 within an area of 225,182 km². California, despite its large area of 423,965 km², has only 26 Snap Fitness locations.

In the United States, Snap Fitness has a notably low proportion of open locations across several states. California stands out with the highest open percentage at 11.5%, having 3 open out of 26 total locations. Other states like Minnesota and Louisiana show minimal open shares of 1.7% and 2.3%, respectively. Several states, including Wisconsin, Pennsylvania, Illinois, Ohio, and Iowa, have no open locations, with all sites closed.
This view compares activity near Snap Fitness locations across states. Using traffic scores observed around 965 sites, it highlights the busiest markets, states with a high share of above-average locations, and areas where activity is comparatively light. Use it to benchmark performance, prioritize field operations, and spot expansion or optimization opportunities.

Snap Fitness locations in Ohio have the highest share of busy sites at 21.1%, with 8 out of 38 locations busy. California follows with 19.2% busy locations, despite having only 5 busy sites out of 26 total. Texas and Minnesota have the largest counts of busy locations, 10 and 18 respectively, with Texas showing a higher busy percentage of 16.1% compared to Minnesota's 15.4%. Wisconsin and Iowa report the lowest busy percentages, at 9.1% and 7.4% respectively.
This section summarizes customer sentiment toward Snap Fitness. Using ratings and review totals from 965 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.

Snap Fitness has the highest average ratings in Ohio and Texas, both at 4.4, followed closely by California, Illinois, and Louisiana at 4.3. Texas and Ohio also rank among the top states by review volume, with 4,641 and 1,573 reviews respectively. Minnesota leads in total reviews with 4,662, despite not being among the top states for average rating.
Snap Fitness receives the highest average ratings in Ohio and Texas, both at 4.4, followed closely by California, Illinois, and Louisiana at 4.3. Minnesota leads in total reviews with 4,662, narrowly surpassing Texas with 4,641 reviews. Michigan, Wisconsin, and Ohio also contribute significant review counts, with 2,283, 2,084, and 1,573 respectively.

Snap Fitness has full phone coverage in all listed states across the United States. Minnesota leads with 117 locations, followed by Wisconsin with 77 and Michigan and Texas each with 62. Every location in these top ten states has phone availability, reflecting a 100% coverage rate.
Snap Fitness 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.