Healthcare & Clinic Site Selection

Select optimal clinic locations by mapping population, demographics, drive-time access, and healthcare competition to improve patient access.

Why It Matters

Challenges in Healthcare Site Planning

Healthcare providers must balance patient access, competition, and regulatory constraints. Without precise mapping, clinics risk underutilization, poor patient catchment, or inequitable access across communities.

Mapping Patient Access & Demand

With Population Explorer, healthcare organizations can model catchment areas using drive-time isochrones, analyze population demographics and insurance coverage, and map competitor facilities. These insights guide providers to underserved zones, maximize clinic utilization, and improve patient accessibility.

How PopEx Helps

Why PopEx Works for Healthcare

PopEx combines demographic and socioeconomic layers with Google POI data, providing a full view of community health landscapes. Clinics can evaluate demand, reduce overlap, and ensure compliance with zoning while cutting site planning cycles significantly.

Differentiators

Expanding Clinic Networks Effectively

Healthcare providers rely on PopEx to identify gaps in service coverage, plan equitable access, and prioritize sites with the strongest demographic fit. The result: higher patient satisfaction, stronger utilization rates, and improved community outcomes.

Proof in Action

Not sure if this is right for your territories? Send us your locations—we'll map them and show you what's working (and what's not).

Last updated: Nov 7, 2025

Frequently Asked Questions

How clinic site selection works in practice

Clinic site selectors must balance access, coverage, and sustainable volumes. Selecting the right clinic location improves patient outcomes and operational efficiency; the wrong one strains staff, increases travel times, and underutilizes capacity. Population Explorer helps operators evaluate prospective sites with consistent, data-backed methods, leading to a vastly improved clinic site selection process.

  1. Define or import service areas - Draw buffers, build isochrones for drive- and walk‐time access, or upload existing polygons from prior planning cycles. Assess demographic coverage within multiple travel-times across your entire clinic site portfolio.

  2. Layer demand, access, and competition - Combine LandScan and WorldPop demographics with income and household layers. Overlay Google Places POIs to see hospitals, urgent care, pharmacies, and other providers. This highlights underserved pockets and saturation risks. Combine drive-time with population coverage to narrow down optimal sites for your clinic expansion.

  3. Export for operations and boards - Generate reports, shapefiles, and ZIP lists for compliance reviews, certification discussions, or board presentations.

FAQs every healthcare operator asks

How do we size demand for a new clinic? Clinic site selection needs to be dynamic, informed by accurate data. Combine LandScan and WorldPop with household income layers to quantify the addressable population within a range of travel-distances.

Can we analyze access by travel time, not distance? Yes. Use Isochrone shapes to map drive-time catchments and identify gaps in coverage.

How do we account for payer mix? While PopEx does not track individual claims, demographic proxies (income, age distribution) can inform payer-mix assumptions at the trade-area level.

Can we import provider lists or patient leads? Yes. Upload CSVs of clinic or provider locations for competitive context and steer the clinic site selection process towards 'whitespace' areas: those optimal demographic pockets not otherwise served by a competitor.

How do we identify underserved areas? Overlay POIs for providers and pharmacies with demographics to flag low-access pockets or long travel-time zones.

Is this useful for urgent care vs specialty clinics? Yes. You can develop clinic site selection criterion favoring either general access or specialty catchments, all modeled with the same workflow, then tailored to service lines.

Will this scale to regional and international networks? Yes. LandScan and WorldPop provide global baselines for consistent clinic site selection planning across markets.