The dental implant access gap

What is being measured, and what is not

The study pairs two axes, and they are not the same kind of thing. That distinction is the most important sentence on this page, so it comes before the findings rather than after them.

Cost burden is a typical single implant expressed as a share of median household income. It is largely income by construction: our cost model carries one geographic adjustment, a major-metro premium, so 45 of the 50 states share an identical dollar figure and only the denominator moves. Ranked on its own, this axis is close to an upside-down income table. We are not presenting that as a discovery.

Specialist supply is different. Oral and maxillofacial surgeons per 100,000 residents comes from an unrelated source and has no connection to implant pricing or to household income. It is an independent measurement, and the fact that it lines up with income is the actual finding here. The 15-state grouping below is the consequence of that relationship, not the evidence for it.

Finding 1: surgeons follow income, not need

There are 7,482 professionally active oral and maxillofacial surgeons in the United States, 2.19 per 100,000 residents. They are not distributed evenly, and the spread is wider than any price spread on this site: New Hampshire has 3.25 per 100,000 and Wyoming has 1.19, which is 7 surgeons in the entire state. That is a 2.7-fold difference.

Supply moves with income at +0.667, which is a moderate to strong relationship, and against affordability at −0.384, which is weaker. Neither is deterministic and neither says anything about cause. What they establish is a tendency: the places where an implant is hardest to pay for are, on average, the places with fewest people qualified to place one. The third row is worth noting too. At +0.645, specialist supply and general dentist supply are related but far from identical, so a state can be comfortable in one and short in the other.

Finding 2: the double bind, and a gap with nothing in it

Split the 50 states at the median on each axis. The median state has 2.15 oral surgeons per 100,000 and an implant costing 5.57% of median household income. That produces four groups, and they come out close to even: 15 states below median on supply and above median on cost burden, 15 better on both, 10 with better supply but heavier cost, and 10 with thin supply but lighter cost.

The interesting part is what separates the two extreme groups. Mean household income in the double-bind 15 is $68,950, against $89,839 in the group that does better on both, a difference of $20,889. Mean supply is 1.69 surgeons per 100,000 against 2.53.

And the two groups do not overlap on income by a single dollar. The wealthiest state in the double bind is Wyoming at $75,532. The poorest state in the better group is South Dakota at $76,881. Nothing sits in the $1,349 between them.

Two honest caveats about that, because it is the most quotable number on this page. The groups cannot overlap on supply, since a median split on supply is part of how they are defined, so that is arithmetic rather than a result. And the income separation is partly mechanical too: the cost-burden axis has income in its denominator. What is not mechanical is why an independently sourced count of surgeons should sort the states in nearly the same order as income at all. That is the +0.667 correlation in Finding 1, and the clean split here is what it looks like on a map.

The double bind (15 states)

Better on both, for comparison: Maryland, New Hampshire, Washington, Colorado, Utah, Connecticut, Alaska, Virginia, Delaware, Minnesota, Rhode Island, North Dakota, Pennsylvania, Wisconsin and South Dakota.

Finding 3: Medicaid cannot close this gap

The obvious question is whether public coverage offsets the pattern. It does not, for two separate reasons, and the second one is structural.

First, generous adult dental benefits are not concentrated where the gap is worst. 11 states plus the District of Columbia met the extensive definition in the national rubric as of December 31, 2024, up from two in 2020. Of the 15 double-bind states, 1 has one. Of the 15 that do better on both, 3 do.

Second, and more fundamentally: an extensive benefit would not cover an implant anyway. The rubric scores fourteen service categories, running from diagnostic exams and cleanings through fillings, crowns, root canals, periodontal treatment, complete dentures, partial dentures, relines and extractions. Implants are not among the fourteen, and the word "implant" does not appear anywhere in the framework's September 2025 briefing material. The most generous tier American adult dental policy defines stops at a denture, on purpose. Tennessee is the clean demonstration: an extensive benefit, no annual dollar cap, and a published covered-services list that ends at complete dentures.

There is one exception we could find in the country. New York revised its dental manual effective 31 January 2024 so that implants, including single-tooth implants, are covered when medically necessary, with prior-authorisation requests explicitly barred from being denied on the grounds that implants are not a covered service. New York also publishes per-code amounts, which nobody else does: $1,000 to place the implant body, $400 for an abutment and $800 for an implant-supported porcelain crown. That is $2,200 for the same post, abutment and crown this site models at $4,259 as a typical private-pay price, and it is the only public per-code implant price we have been able to find in American healthcare.

The national picture

Nationally, median household income was $81,604 in 2024. A typical single implant at $4,259 is 5.22% of a year of it. One standard arch runs 19.4% to 33.8% of median annual household income depending on the state. Those are pre-tax, whole-household figures, which is the conservative way to state them: nobody spends gross income, so the share of what a household can actually direct at dental work is higher than these numbers.

Method, sources and limits

Every figure traces to a published source, and the arithmetic on top of them is ours and labelled as ours. Full detail is on the methodology page and every source is listed on the citations page.

• Income. U.S. Census Bureau, American Community Survey, "Household Income in States and Metropolitan Areas: 2024" (ACSBR-025), in 2024 inflation-adjusted dollars, with the published 90% margin of error carried into the CSV. ACS is used rather than CPS ASEC because the Census Bureau's own guidance is that ACS is the right source for comparing states.
• Practitioner counts. KFF, "Professionally Active Dentists by Specialty Field," whose stated source is a special data request to the American Dental Association, representing end-of-year 2025. Population is the Census Bureau's July 1, 2025 Vintage 2025 estimate. The per-100,000 rates and all ranks are ours, because no agency publishes an oral-surgeons-per-capita table by state. As a check on the method, the same arithmetic puts the national dentist rate at 60.00 per 100,000 against the 59.5 the ADA's Health Policy Institute publishes for 2024, two different vintages less than one percent apart.
• Medicaid. The Rubric for Assessing Extensiveness of State Medicaid Adult Dental Benefits, developed by CareQuest Institute for Oral Health with the ADA Health Policy Institute and the Center for Health Care Strategies, coverage as of December 31, 2024.
• Costs. This site's own model, unchanged for this study, documented figure by figure on the methodology page.

Five limits worth stating

1. The cost-burden axis is mostly income. Because 45 of 50 states share one cost figure, that ranking is close to an inverse income ranking. The supply axis is independent; the cost axis largely is not.
2. A median hides a lot. The national Gini index is 0.481. Half of each state earns less than the figure used here, so for them every percentage on this page is an understatement.
3. Small states have wide margins of error. Several income estimates carry margins large enough to make an exact rank meaningless. The margins ship in the CSV so anyone can see which rows not to lean on.
4. Headcount is not access. A surgeon per 100,000 says nothing about whether that surgeon takes your insurance, is accepting patients, or is within driving distance. Within-state distribution is not measured here at all, and in large states it probably matters more than the state average.
5. Correlation, not cause. Nothing here establishes why surgeons cluster in wealthier states. Training location, practice economics, referral patterns and population density are all plausible and none is tested.

What we deliberately did not build

No composite index. It would have been easy to multiply the two axes into a single "access score" and rank the states one to fifty, and it would have travelled further. But the weighting would have been invented, and an invented weighting dressed as a score is exactly the kind of false precision this site exists to avoid. Two medians and four groups require no weighting at all, which is why the analysis is shaped that way. The raw columns are in the CSV if you want to build an index yourself.

No per-state implant prices either. We publish one national cost model with a single metro adjustment because that is what the sourcing supports. Fifty different implant prices would be fabrication, and a number of sites publish them anyway.