Observed, derived, unknown
A website-derived signal means a source exposed it during collection. Groupings and market layers are labeled derived. A missing signal stays unknown and is never counted as no.
About / who stands behind the numbers
DentalCensus is a structured intelligence model for the U.S. dental industry. It exists so that a commercial team spends five minutes understanding a practice before reaching out, instead of sending a hundred interruptions that a practice never asked for.
Short answer
DentalCensus is built and run by Ed Karionov, its founder. More than five years in dental market analytics and lead generation for dental implant businesses. Every published figure states its source, snapshot date and denominator, and unknown is never counted as no.
Founder
Founder, DentalCensus
Founder of DentalCensus. More than five years in dental market analytics and lead generation for dental implant businesses.
Before DentalCensus, that work meant building lead pipelines for implant businesses on data that rarely said where it came from or how old it was. DentalCensus is the answer to that gap: the same market, with the evidence attached.
How the evidence is built
Observed, derived, unknown
A website-derived signal means a source exposed it during collection. Groupings and market layers are labeled derived. A missing signal stays unknown and is never counted as no.
Every number carries its context
Source, snapshot date, denominator and method travel with each published figure. Percentages are always computed against a stated denominator.
Aggregates in public, records in the product
Public reports publish counts and shares only. Clinic-level rows, identifiers and contacts never appear on a public page.
Dated, not timeless
Collection is rolling and incremental with dated history retained. A report names its snapshot cutoff; a guide names its source cutoff.
Where the figures live
Each figure quoted on DentalCensus has one canonical page that states its snapshot, denominator and limits. Cite that page, not this one.
Source families, snapshots, evidence states and limits.
103,674 US dental clinic profiles and the intelligence layers built on them.
14,704 clinic records measured under the three-number rule, with machine-readable data.
How hidden ownership networks are detected and independently verified.
How to cite
Cite as "DentalCensus" with a link to the page that publishes the figure, and keep its snapshot date. Detected shares are website-derived floors, not survey extrapolations; preserve that distinction. Machine-readable orientation: /llms.txt, full text of the research journal: /llms-full.txt, updates: RSS.
See the model, not the pitch