Veterinary Practice Location Data

Map your territories

Vettica provides verified practice addresses for every veterinary clinic in the United States. Each record includes the full street address, city, state, ZIP code, and geocoded coordinates. Use this data for territory planning, route optimization, and geographic analysis.

Location data is sourced from state licensing boards, business registrations, and verified against Google Places. Closed practices and relocated offices are flagged and excluded from your deliverable.

Use cases

Sales teams use location data to plan field visits and optimize travel routes. Distributors use it to identify coverage gaps in their territories. Marketing teams use it to run geo-targeted campaigns. Analytics teams use it for market sizing and TAM analysis.

What you get

A clean dataset with practice name, full address, geocoded lat/long, specialty type, and associated DVM contact information. Delivered as CSV, ready to import into your CRM, mapping tool, or analytics platform.

The hard part: one practice, many records

Raw veterinary location data is messy in a specific way. A single hospital shows up under three names: the legal entity on the state filing, the brand on the sign, and the corporate group that owns it. A house-call vet lists a home address one year and a PO box the next. A consolidator acquires a clinic and the old listing survives online for years.

We resolve each physical location to one record. Legal name and brand name both appear as fields. Corporate group affiliation is flagged, so you can tell an independent three-doctor clinic from a Mars Veterinary Health or NVA location that happens to keep its local branding. Mobile and house-call practices are marked as such rather than mapped to a residential address as if it were a hospital.

Market sizing with location data

The AVMA counts more than 30,000 veterinary practices in the US, and most are small: one to three doctors is the norm outside referral centers. If you're sizing a territory, raw practice counts mislead. A metro with 150 practice locations might have 40 of them under corporate ownership where purchasing is centralized, which means your addressable count for a clinic-level product is closer to 110.

Our deliverable includes DVM headcount per location, so TAM math works from doctors rather than doors. That distinction changes decisions: a distributor choosing between two expansion territories should compare doctor density and independent-practice share, rather than just pin counts on a map.

Keeping territories current

Practice locations change faster than most teams expect. Consolidators closed or merged hundreds of locations in the past two years, new urgent-care concepts are opening in suburban retail space, and rural mixed practices keep closing when the owner retires without a buyer. A territory file built 18 months ago misroutes reps every week. Because we build lists per order from current board and registry data, your file reflects the market as it exists at delivery, and repeat orders show you exactly what opened, closed, or changed hands since your last pull.