ASC Density in the Southeast: Where Surgery Centers Cluster and Why It Matters
An analysis of ambulatory surgery center concentration across 12 southeastern states, sourced from 14,416 NPPES records.
The Southeast ASC Landscape
The southeastern United States accounts for a disproportionate share of ambulatory surgery center growth. Across 12 states — from Virginia to Florida to Texas — the Goldframe NPPES extract identifies distinct clustering patterns driven by population density, state licensing regimes, and certificate-of-need (CON) law variation.
States without CON requirements for ASCs — Florida, Texas, Georgia — show 2-3x the facility density per capita compared to CON-enforced states like Virginia and North Carolina. This regulatory divergence creates measurable geographic asymmetry in the data.
Density by the Numbers
Florida leads the region with over 1,400 registered ASCs, followed by Texas at approximately 1,200. Georgia, with no CON law for outpatient surgery, sustains roughly 500 facilities despite a smaller population base than North Carolina, which registers under 300.
These figures are extracted from the CMS NPPES monthly bulk download, filtered by taxonomy code 261QA1903X (Ambulatory Surgical Center), and standardized through the Goldframe Foundry pipeline. Every record carries a verified 10-digit NPI, zero-padded ZIP, and standardized facility name.
Procurement Implications
For medical device manufacturers and pharmaceutical distributors, ASC density maps directly to addressable market size. A territory with 1,400 ASCs requires fundamentally different coverage models than one with 300.
The Goldframe dataset includes facility-level point-of-contact data — names, titles, and enriched email addresses at a 94.2% match rate — enabling direct outreach without intermediary databases. When paired with CMS Open Payments data, organizations can identify which manufacturers already have payment relationships with physicians at specific facilities.
Methodology and Source Attribution
All figures in this report are derived from the CMS National Plan and Provider Enumeration System (NPPES) bulk download, a 3 GB monthly file containing every NPI-registered entity in the United States. Goldframe parses this file, applies the 261QA1903X taxonomy filter, and runs the output through a standardization pipeline that enforces type-safe schemas, deduplication, and geographic normalization.
The enrichment layer (The Forge) appends authorized official contact information through bulk-file extraction — not scraped or third-party purchased. Match rates are reported transparently on every delivery.