Fitness Studio Site Selection
Fitness studios and gyms don't fail because of bad programming — they fail because the site evaluation missed the real catchment. A 3-mile radius said 60,000 people. The drive-time polygon said 22,000 with median household income above $70K. The boutique cycling studio signed a lease for the wrong 2,000 square feet. DriveZone maps the actual 15-minute member draw area — by home origin, by workplace origin, and by competitive segment — before you commit to a location.
Catchment zones
Most site selection tools model a single origin catchment — usually residential. For grocery stores and pharmacies, that's adequate. For fitness studios, it's structurally incomplete.
A boutique cycling studio draws two distinct member cohorts from two different geographic origins. Morning members and weekend members drive from home — their 15-minute residential catchment defines the base. Evening members drive from work — their 15-minute workplace catchment covers an entirely different polygon, often offset by 3–5 miles from the residential zone. A fitness studio sited well captures both cohorts. One sited poorly sits in neither catchment's sweet spot and relies on a single member type to fill classes across all time slots.
The correct analysis maps both 15-minute polygons simultaneously and identifies the overlap zone — the geographic area from which a member could reach the studio from either origin within the threshold. Sites in the overlap zone have the highest structural potential for all-day class capacity utilization.
15 min from home
Residential catchment · Sat/Sun peak
15 min from workplace
Office catchment · weekday 5–8 pm peak
Peak overlap = member density
Intersection of both 15-min polygons
Three failure modes
Modeling only residential catchment misses the evening commuter demand that drives 30–40% of boutique studio revenue in urban markets. A site that looks strong from the residential polygon — 22,000 adults, HHI $78K within 15 minutes — may be 5 miles from the nearest office cluster, leaving the 6 pm and 7 pm class slots chronically undersold. Single-origin analysis produces rosy Saturday projections and consistently disappoints on weekday evenings.
Big-box health club density in a trade area doesn't predict boutique studio competition. Counting total fitness facilities overstates competitive risk when the market is dominated by large-format clubs that serve a different price point and modality. Counting by segment understates it when the area already has four boutique cycling studios within 10 minutes. The correct analysis separates boutique studios, big-box clubs, and specialty fitness (yoga, Pilates, cycling) and applies the saturation threshold appropriate to each category.
A site with 50,000 people in its 15-minute polygon may be the wrong site if median household income is $45K and your price point is $180/month. At that income level, a $180 membership represents roughly 5% of monthly take-home pay — a discretionary spend threshold that most households in that cohort won't sustain. Population without demographic weighting misleads: the number that matters is income-qualified adults within the polygon, not total headcount.
Feature breakdown
Model both residential and workplace origins simultaneously. Generate the 15-minute polygon from your candidate site and compare it against the home-origin and work-origin catchments. Identify the overlap zone — the area from which members can reach you from either origin — to pinpoint your highest-potential site area.
Count boutique studios, big-box clubs, and specialty fitness (yoga, Pilates, cycling) separately within the polygon. See the category-specific saturation picture — not a blended total that obscures whether the market is over-served for your format or has room for one more operator in your segment.
Population counts filtered by median household income threshold — see how many target-demographic households live in your catchment above the income floor your price point requires. The difference between 50,000 total adults and 14,000 income-qualified adults in the same polygon is the difference between a viable site and a structural revenue shortfall.
If you're a franchise system opening a second location, visualize the trade area overlap with your existing club before signing. Measure the percentage of each polygon that falls inside the other. Sites with above 25% overlap risk transferring existing member revenue rather than generating net-new members — a structural problem that no amount of marketing resolves.
FAQ · Fitness site selection
Fitness catchment markets
Related reading
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