Correction — 13 July 2026 (v2). Following an internal data-integrity audit, we retracted two things that appeared in the original dataset and in the first version of this post: the per-state veneer and braces columns (they turned out to be scaled from the implant series rather than independently observed) and the old composite "Cost Index" built on them. The dataset now publishes one observed per-state price series (single implants) and an implant-based Restorative Cost Index. Nothing else survives unchanged from v1 unless re-verified. Full transparency log: data corrections. Everything below reflects the corrected v2 data.
I spend my time on an unglamorous question: how much does dental care actually cost, and why does the same procedure cost wildly different amounts depending on where you live? To answer it with data instead of anecdotes, our team built the US Dental Cost Index — average single-implant prices for all 50 US states + DC in 2026 — and released the whole thing as an open CSV. Here's what the numbers say, and how you can grab the data.
The headline: geography, not clinical complexity, drives the gap
A complete single dental implant averages $3,759 in Alabama and $5,733 in California — a +53% swing for the same procedure. The cheapest cluster (Alabama, Arkansas, Mississippi) sits roughly 17% below the national average of $4,507; the priciest (California, New York, Hawaii) runs up to 27% above it.
The interesting part is why. When you plot each state's average implant price against its cost-of-living index, you get a Pearson correlation of r = 0.836 (n = 51). In plain terms: dental fees track local rent, wages and overhead far more than they track anything clinical. The tooth doesn't care what state it's in; the lease on the building does.
What the correction taught us (honestly, the most interesting finding)
Auditing our own data surfaced something we hadn't appreciated: US dental prices don't move as one market. Restorative procedures (implants, crowns, dentures) are tightly correlated with each other across states (pairwise 0.93–0.96), but orthodontics barely tracks them at all (Spearman ≈ 0.04). That's why a single composite "dental cost index" was a mistake — and why the v2 index is explicitly scoped to the restorative regime. The implant series itself was validated against an independent industry series (ASQ360°) at Spearman ρ = 0.945.
How the v2 index is built
For each of the 51 jurisdictions the dataset reports:
- average single implant price (complete: post + abutment + crown) — our observed series
- the Restorative Cost Index = state implant average ÷ national average × 100 (100 = US average), valid for restorative procedures only
- the state cost-of-living index
- an affordability access-and-value score (0–100)
No black box, and no derived columns dressed up as observations. Methodology is documented here → US Dental Cost Index methodology.
Get the data (CSV, CC BY 4.0)
The full dataset is open and free to reuse with attribution:
- Landing page + interactive ranking: https://realdentalcosts.com/en/us-dental-cost-index/
- Annual report (charts + PDF): https://realdentalcosts.com/en/state-of-us-dental-costs-2026/
- Citable DOI (Zenodo, concept DOI — always resolves to the latest version): https://doi.org/10.5281/zenodo.20531728
- Interactive explorer (Observable notebook, v2): https://observablehq.com/d/ea3ac32ab26d6e3c
- Also mirrored on Kaggle, Hugging Face and Mendeley Data if those are your preferred tools.
rank,state,code,implant_avg_usd,restorative_index,cost_of_living_index,affordability_score
1,Alabama,AL,3759,83,88.8,50
2,Arkansas,AR,3833,85,86,62
3,Mississippi,MS,3885,86,84,54
Why this matters beyond a trivia stat
If you're uninsured (about 1 in 4 American adults have no dental coverage), the ~$2,000 implant gap is actionable: dental tourism within the US, dental school clinics, and savings plans all become rational moves once you can see the price surface. We keep a companion guide to free and low-cost dental care by state for exactly that reason.
And for anyone doing health-economics or cost-of-living analysis, the r = 0.836 implant-vs-COL correlation is a tidy, citable data point — the CSV is small, clean and ready to drop into a notebook.
This is market and pricing research, not clinical or treatment advice. Data compiled by the Real Dental Costs Data & Research Team. Free to cite with a link to the source.
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