Urgent Care Site Selection

Urgent Care Site Selection — Patient Access & Coverage Gap Analysis

The 10- and 20-minute drive isochrone defines urgent care access. Coverage gaps — areas where residents drive further than 20 minutes to the nearest facility — are both a public health issue and a market opportunity. Healthcare site selection is the fastest-growing use case for drive-time isochrones. Map real patient access zones before committing to a location.


Time zones

Twenty minutes is the urgent care access threshold.

Urgent care is fundamentally a convenience service. Patients with non-emergency conditions make a rapid, proximity-driven decision: they choose the nearest facility they can reach within a reasonable drive. Research consistently shows that 20 minutes is the outer bound of what most patients will accept when alternatives exist — a primary care office, a telehealth visit, or a retail clinic. Beyond 20 minutes, patient behavior changes significantly and ER utilization rises.

This 20-minute threshold creates a measurable geography. Every area where residents are more than 20 minutes from an urgent care facility is a coverage gap — a population without reasonable access. That gap is simultaneously a public health problem and a business opportunity. The fastest-growing segment of healthcare real estate runs on this exact analysis: find the gap, size the addressable population, and site the facility to maximize patient access.

10 MINUTES

Primary zone

60–70% of a site's patients come from inside this polygon — the core catchment

10–20 MINUTES

Secondary zone

Secondary demand — patients who accept a longer drive when the primary zone is saturated

20+ MINUTES

Coverage gap

Unserved population — both an access inequity and the addressable market for a new site

Three failure modes

The three ways radius circles fail healthcare site analysis.

01 / COVERAGE GAP MISCALCULATION

Coverage gap miscalculation

A radius circle that spans a highway, a rail corridor, or a river implies access that doesn't exist. Residents on the other side of a physical barrier can be substantially further in drive time than the radius suggests. A coverage gap analysis built on radius circles systematically undercounts the unserved population.

02 / SATURATION OVERCOUNTING

Saturation overcounting

Markets that look dense by facility count can still have coverage gaps when analyzed by drive-time polygon. Three facilities whose 20-minute polygons all cover the same downtown core may leave surrounding neighborhoods completely unserved — a pattern invisible in a radius-based density map but obvious in polygon overlap analysis.

03 / CANNIBALIZATION UNDERESTIMATION

Cannibalization underestimation

For health systems planning the second and third urgent care site in a market, polygon overlap analysis shows exactly how much patient volume the new location will draw from existing sites. A radius-based analysis that shows "no overlap" between sites 4 miles apart may be wrong if a major arterial connects them directly.

Feature breakdown

Four tools built for urgent care site analysis.

Patient access zone mapping

Generate 10- and 20-minute drive isochrones around any candidate site. The population inside the 10-minute polygon is your core catchment; the 20-minute ring captures secondary demand. Compare the polygon to existing facility locations to quantify coverage and identify where access is genuinely new.

Coverage gap identification

Identify geographic areas where no urgent care facility is within a 20-minute drive. These coverage gaps represent both an access inequity and an unserved market. Export the gap polygon to quantify the population without reasonable access — the core metric for any new-market entry decision.

Competitive density analysis

Overlay drive-time polygons for all existing facilities in a market. Areas with dense polygon overlap are saturated; areas with few overlapping polygons represent under-served catchments — even if they look close on a map. The polygon density view is the correct saturation analysis for healthcare real estate.

Cannibalization between system locations

For health systems operating multiple urgent care sites, trade area overlap determines whether a new location adds access or cannibalizes an existing site's patient volume. 20% polygon overlap is the common internal threshold — above that, the new location is primarily redistributing existing patients rather than capturing new ones.

FAQ · Urgent care site selection

Questions healthcare developers and health systems ask.

What drive time do patients accept for urgent care?
Research consistently shows that most patients will not drive more than 20 minutes for urgent care when non-emergency alternatives exist. The 10-minute primary trade area captures roughly 60–70% of a site's patients; the 10–20 minute secondary zone covers most of the remainder. Beyond 20 minutes, patients increasingly choose alternatives — telehealth, primary care, or emergency departments.
How is urgent care site selection different from hospital planning?
Urgent care is convenience-driven. Patients choose the nearest accessible facility, making drive-time proximity the primary decision variable. Hospital planning involves higher-acuity referral patterns and service-area modeling at 30–60 minute scales. The analytical methodology is the same — drive-time isochrones — but the time thresholds and the weighting of access vs. specialty services differ substantially.
How do you identify an underserved market for urgent care?
Generate 20-minute drive isochrones for all existing facilities in a region. Map the population outside all polygons — those residents lack reasonable urgent care access. This gap population is the addressable market for a new site. Filter by age and income to prioritize gaps with the highest utilization potential and the best insurance mix.
What demographic data matters for urgent care site selection?
Population size and density (volume), age distribution (higher urgent care utilization among children under 10 and adults over 50), median household income (insurance mix), and proximity to primary care practices (complementary vs. competing access). A gap with high pediatric population and limited primary care nearby is a stronger site than the same gap with abundant primary care access.

Real markets

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Related content

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