# 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](/content/knowledge-base/calculate-population-in-a-driving-distance/index.html), analyze population demographics and insurance coverage, and [map competitor facilities](/content/knowledge-base/marker-files/index.html). 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](/content/knowledge-base/how-to-place-buffer/index.html), build [**isochrones**](/content/knowledge-base/using-isochrones/index.html) 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**](/content/knowledge-base/landscan-deep-dive/index.html) and [**WorldPop**](/content/knowledge-base/worldpop-constrained-deep-dive/index.html) 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**](/content/knowledge-base/landscan-deep-dive/index.html) and [**WorldPop**](/content/knowledge-base/worldpop-constrained-deep-dive/index.html) 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](/content/knowledge-base/using-isochrones/index.html) 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.