Free Tool · For PT & Ortho Operators
Is your market about to run out of PTs? Check the number, not the vibe.
A public-data index scoring all 50 states and DC on projected physical therapy workforce capacity strain, built from BLS employment and wage data, DPT graduate pipeline data, and Census aging trends. No patient data. No vendor pitch.
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The live index
PT Workforce Capacity Risk Index
Select any state to see its real, computed risk tier.
The national picture
All 51 jurisdictions, ranked
Sorted by composite score, highest risk first. Rows highlighted in gold are the 6 states whose tier changes under an equal-weight scoring alternative. See the Methodology section for what that means and why it's disclosed here rather than hidden.
| State | Tier | Composite score | Why |
|---|
Methodology
Why this is an index, not a "predictive model"
The honest version, not the impressive-sounding one.
This is a transparent weighted composite index, not a trained model. There's no historical record anywhere of "which states actually hit a capacity crisis, and when." Without a labeled outcome to train against, there's nothing to regress or classify. So this tool doesn't pretend to be smarter than the data allows.
Resolution is state-level, on purpose. DPT graduate data isn't published below the state level. A state's tier describes that state, not any specific metro, county, or clinic inside it. DC is included but isn't peer-comparable to the 50 states. It's a single metro with no rural service area diluting its numbers, which is why it sits at the bottom of the ranking. Under the v1 scoring it was the sole Moderate-tier row; after the 2026-08-04 pay-component rebuild it scores High, and no jurisdiction is below High.
Every input is converted to a 0–100 sub-score against a fixed, externally-set floor and ceiling, not against this year's 51-jurisdiction range. A state that falls outside its anchor's range clamps to 0 or 100 rather than stretching the scale. Anchors are versioned (v1, dated 2026-08-01) and reviewed at each annual refresh, never re-derived from that year's actual distribution, which would just reintroduce a moving-target scale wearing a "fixed anchor" label. Anchor values are the analyst's judgment call, not an independently cited external benchmark. Stated plainly, not implied otherwise.
The five components and their published weights:
| Component | Weight |
|---|---|
| Demand pressure (65+ population growth, 2020–2024) | 35% |
| Pipeline adequacy (DPT grads per 100k, inverted) | 30% |
| Supply density (PTs per 100k, inverted) | 10% |
| Pay position (PT wage vs. the national PT median, inverted) | 10% |
| Trend divergence (demand slope − supply slope) | 15% |
Every state is also scored under an equal-weight alternative. When a state's tier moves under equal weighting (Washington does, Critical to High), that's a real disclosure: it shows how much of the score is data, and how much is the analyst's judgment call on what matters most. Six states move this cycle; all six move the same direction, Critical down to High.
What this tool won't tell you, and what it can't fully separate
- Every one of the 51 modeled jurisdictions lands in High or Critical this cycle. Nothing is in Low, and after the August 2026 rescore nothing is in Moderate either. That's a real finding and a real limitation, stated rather than buried: an index whose entire distribution sits in the top two of four tiers is telling you the country is uniformly strained, but it is also not doing much work separating states at the bottom of the range. Read the ordering and the component detail, not the tier label alone. Near-universal 65+ population growth (the last Baby Boomer cohort turned 65 during the 2020–2024 window this index measures) combined with thin DPT pipelines relative to the fixed anchor puts most of the country in the upper tiers. Low and Insufficient Data remain real, reachable tiers built for future-year comparability. They're just not populated today.
- Demand pressure and trend divergence aren't fully independent. The 2020–2024 realized 65+ growth rate drives the demand component directly and, as the subtracted term, most of trend divergence too, closer to 50% combined weight on one underlying signal than the nominal 35%+15%. Trend divergence's real observed range is narrow, contributing at most a few points either way. Read it as a minor adjustment, not an independently strong signal.
- The pay component was rebuilt on 2026-08-04, and the old one was measuring the wrong thing. Version 1 scored PT median wage divided by statewide average pay across all industries. Auditing it found that the ratio was driven almost entirely by its denominator: it correlated −0.93 with statewide average pay and only −0.15 with PT pay itself. In plain terms, it was roughly 86% a measure of how little a state's general workforce earns. Mississippi, West Virginia and Arkansas scored high on "PT wage premium" because everyone else in those states earns little, not because physical therapists were being bid up. It now compares each state's PT median wage to the national PT median ($102,760, BLS May 2024), which is what the component always claimed to measure. It correlates −0.99 with PT pay. Three tiers changed: DC Moderate to High, Montana and Washington High to Critical. The audit, both candidate fixes, and the full cost in tier changes are published in the build record rather than summarized here.
- Pay position is a weak proxy for scarcity in either direction, and it carries only 10%. Low PT pay can mean employers cannot compete for a mobile licensed workforce, or it can mean the local cost of living is low and the market clears fine. This index reads it the first way. That is a judgment call, not a finding, and it is why the component is weighted at a tenth rather than a third.
- DPT graduates are counted where the program is located, not where the graduate goes on to practice. This is a pipeline-production metric, not a guarantee of in-state supply. New PTs are professionally mobile.
- "No in-state DPT program" (Alaska, Wyoming) is a real, confirmed zero, not a data gap. That's different from Insufficient Data, which is reserved for a genuinely missing or suppressed reporting cell. No state hit that case in this pull; the tier stays defined for a future cycle where one might.
- No precise score to two decimal places, no "years to crisis" countdown. That's false precision this annual, state-aggregate public data can't support.
Source ledger
Built entirely on public data
Every input is named, sourced, and dated. Nothing here comes from a proprietary dataset, a patient record, or a guess.
| Input | Source | Data vintage |
|---|---|---|
| DPT graduates by state | CAPTE, 2024 PT Education Programs Fact Sheet, Table 14 | 2024 |
| State population, 65+ share | U.S. Census Bureau, Population Estimates Program, Vintage 2024 | 2020–2024 |
| PT median wage | BLS Occupational Employment and Wage Statistics (via O*NET OnLine) | May 2024 reference period |
| PT employment / density | State Labor Market Information, Long-Term Occupational Projections | 2022 base year |
| Statewide average pay | BLS Quarterly Census of Employment and Wages (QCEW) Open Data API | 2024 annual average |
| Projected supply trend | Projections Central, State Long-Term Occupational Projections | 2022–2032 projected |
One disclosed limitation: 2024-vintage BLS state PT employment counts were unreachable during this build cycle, so density is computed against 2022 employment, two years older than the wage and population inputs. Stated here, not hidden.