The exhibit for this entry is a market we run constantly as a calibration check: Port St. Lucie, Florida. Every number below is its actual readout. It teaches well because it is fast growing, yet it reads under the benchmark most people expect a Florida boom market to sit above.
The boundary first, always
Every market question is secretly a geometry question: which patients can plausibly reach this chair? The standard tool for answering it is a radius circle, and the radius circle is wrong nearly everywhere. Circles do not know about rivers, one-way grids, highway severance, or a bridge that adds twelve minutes to a two-mile trip. Patients do not travel as the crow flies. They travel as the traffic allows.
So the report starts by throwing the circle away. From the address, the engine casts 24 compass bearings and tests 10 distances along each one. At every point it asks the same question: can a car starting here reach the practice within the time budget, in real traffic? The clock is pinned to a weekday mid-morning, because that is when dental appointments actually happen, and because free-flow assumptions flatter every location equally. The 240 answers resolve into a polygon, and that polygon is the market. No two addresses produce the same one, which is why we treat it like a fingerprint.
BOUNDARY METHOD · 24 BEARINGS × 10 DISTANCES · TRAFFIC PINNED WEEKDAY MID-MORNINGRead the shape before anything else. A boundary that bulges along an arterial road and pinches at a river crossing is telling you where your patients will and will not come from. Everything downstream, competitor counts, population, income, is computed inside this shape, not inside a circle and not inside a ZIP code.
Office density against the benchmark
With the boundary drawn, the first number that matters is office density, the offices per population. The reference line for general dentistry is 61 offices per 100,000 residents. Above it, supply is thick; below it, patients are underserved relative to the national pattern.
Port St. Lucie reads 40 competing offices inside its 15-minute boundary, which works out to 35.8 per 100,000. That is roughly 0.6 times the benchmark, well under the reference line. Fewer offices share more residents than the typical market. This single ratio does more work than any other number in the report, which is why it goes first against its benchmark.
Who the competitors actually are
A count is only as good as its roster. The engine starts from 406,859 provider records in the national registry, refreshed monthly. But registries decay: dentists move, retire, sell, and keep old addresses on file for years. So at search time, every candidate inside the boundary is checked against live business listings, and offices that come back closed are flagged rather than counted as living competition. The 40 in Port St. Lucie is not a raw registry dump. It is what survived verification at the moment the report ran.
Then read the names. Scan for the patterns that change strategy: DSO branches clustered on the same avenue, a specialist heavy block, a competitor with hundreds of reviews sitting two doors from your candidate address. The count tells you how crowded the room is. The roster tells you who is in it.
Referral structure
The third lens is the one most scouting skips entirely. If you are a general dentist, the oral surgeons, endodontists, and orthodontists inside your boundary are where your patients go when you refer out; too few of them and you own every complication. If you are a specialist, the arithmetic flips: the general dentists around you are not competitors, they are your entire patient supply. Referral structure gets its own benchmark for exactly this reason. A market can read well on office density and still read poorly here, and a specialist reading a report should read this section before the competition section, not after.
Income against the fee bands
Demographics in the report come from the ACS 5-year estimates at block group level, area-weighted to the boundary. Not the city average, not the county average: the people who actually live inside the polygon. Port St. Lucie's readout is 111,600 residents inside the boundary at a median household income of $72,537.
That number only becomes useful next to the fee bands. In Florida, a crown has a Medicaid floor of $340 and a modeled private-pay median of $1,455, a spread over fourfold on the same procedure. Income tells you which end of that band the neighborhood can actually support. At $72,537, Port St. Lucie supports a solid working middle of it. A market reading under the benchmark does not guarantee opportunity. It means the opportunity has not yet been fully noticed, which is a more useful signal than a crowded address.
PORT ST. LUCIE READOUT · 40 OFFICES · 35.8/100K VS 61 BENCHMARK · MEDIAN HH INCOME $72,537The benchmark is a lens, not an answer
Port St. Lucie reads 35.8 against a benchmark of 61, well under the reference line. There is no letter to memorize and no hidden weighting. Each figure is shown against its own benchmark: density against the specialty benchmark, income against the state median. Every input is listed with its source, so you can recompute it yourself. Given a density ratio that thin, the read is not a surprise.
But under-benchmark does not mean automatic. It says the default case, a new practice entering a thin, fast-growing field, has room the national pattern does not. An acquisition with a loyal patient list in the same boundary is a different question, and the same report answers it: the boundary, the roster, and the fee bands all still apply, only the starting position changes. The benchmark comparison compresses the report so you can rank ten markets in an afternoon. It does not replace the report. Read the parts, then the comparison, and never the other way around.
That is the whole discipline: boundary, office density, roster, referrals, income against fees, then the comparison against benchmark. Ninety seconds to build, ninety seconds to read, and a decision measured in hundreds of thousands of dollars sitting on the other side of it.