# The Youth Mental Health Access Gap — Narration Script
**Version**: v1.0
**Target**: ~660 words at 78 wpm ≈ ~510s
**Source data**: CDC YRBSS 2023 + CMS NPPES + ACS 2023, joined into `analysis_outputs.mh_gap_youth_v1_state_v1` (35 states · 41.8M under-18)
**Methodology rated**: Trellison Institute. Verified by LedgerWell.
**Companion to**: Mental Health Access Gap V1 (adults, May 2026)
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## Panel 1 — The Thirty-Nine Percent (0–85s, ~115 words)
> Thirty-nine point four percent of American high-school students — roughly two out of every five — reported two weeks or more of persistent sadness or hopelessness in the past twelve months. The Centers for Disease Control measure this through the Youth Risk Behavior Surveillance System — a biennial survey of grades nine through twelve that thirty-nine states released for two thousand twenty-three.
>
> Forty-one point eight million American minors live in those thirty-five states. The implied count is approximately sixteen point five million young people. The companion adult paper from last month found a population-weighted rate of sixteen point eight percent.
>
> The youth rate is two point four times the adult rate. That is the floor.
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## Panel 2 — The Map, and the Surprise (85–170s, ~125 words)
> The question is who can answer the call. The Centers for Medicare and Medicaid Services maintain a registry of every licensed mental-health provider in America. We filtered it to eight taxonomies that train providers to work with children and adolescents — child and adolescent psychiatry, clinical child psychology, school psychology, school social work, marriage and family therapy, clinical social work, mental-health counseling, and clinical psychology.
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> When we measure the density of those providers per one hundred thousand under-eighteen residents across states, the variation is dramatic. Approximately eighty-five-fold.
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> Connecticut has five hundred providers per hundred thousand. Vermont and Alaska each have over one thousand. At the other end, North Carolina has nine. New Jersey has eighteen. Puerto Rico has under six.
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> The youth gap is a state-level supply problem.
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## Panel 3 — Three Positive Outliers (170–255s, ~115 words)
> Our analysis ran a national regression of the supply gap against the state's under-nineteen uninsured rate. The places where the gap is worse than insurance coverage alone would predict are positive outliers. Three states stand out.
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> Puerto Rico — gap two-point-three-nine sigma worse than predicted. The post-Hurricane Maria health-system disruption compounded by decades of federal Medicaid payment cap policy. The youth-serving workforce migrated to the mainland and didn't come back.
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> North Carolina — one-point-eight-one sigma. A populous state with healthy adult mental-health workforce but a thin youth-serving subset.
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> New Jersey — one-point-five-three sigma. Among the most insurance-saturated states in America, yet youth-serving provider density is eighteen per hundred thousand.
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> All three are workforce-shortage states, not insurance-shortage states.
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## Panel 4 — Two Negative Outliers (255–340s, ~115 words)
> The places where the gap is better than insurance coverage predicts are negative outliers. Two states stand out.
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> Vermont — gap one-point-seven-zero sigma below predicted. Distress prevalence is the lowest in the dataset at twenty-nine point three percent. The University of Vermont Medical Center's pediatric behavioral-health program. State Medicaid expansion in two thousand fourteen. And the state's Designated Agency system — community mental-health centers with statutorily-defined service obligations for youth.
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> Alaska — one-point-six-nine sigma below predicted. Distress is among the highest at forty-three percent — but the Indian Health Service plus Alaska Native tribal health organizations employ a federally-funded mental-health workforce that the state-level supply count picks up. Over one thousand providers per hundred thousand under-eighteen.
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> Two policy stacks. Both work. Both are policy-driven, not market-driven.
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## Panel 5 — What the Pattern Says (340–425s, ~100 words)
> The youth gap is structurally different from the adult gap. The adult case from last month split into a six-point-three-million geographic-access desert and a two-hundred-thirty-eight-million capacity gap. The youth case has no comparable sub-state data — but the residual analysis surfaces a different finding.
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> At state geography, the supply distribution is the dominant variable. And it is approximately three times wider than the comparable adult range.
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> The youth access conversation is state policy choice. Either a state has built youth-serving workforce capacity through Medicaid expansion plus CCBHC plus parity enforcement, or it has not. Vermont and Alaska built it. Puerto Rico, North Carolina, and New Jersey have not.
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## Panel 6 — Methodology, and the Close (425–510s, ~90 words)
> Need came from the CDC's Youth Risk Behavior Surveillance System. Supply came from the federal provider registry filtered to eight youth-serving taxonomies. Population came from the American Community Survey. Insurance coverage came from the same survey. The framework — Trellison Institute's Need-vs-Access Framework version one-point-one — required a single parameter change to run at state geography. No other code changed.
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> The youth mental-health access gap is two and a half times the adult gap. The supply distribution is wider. The policy choice is binding. We know what to do. The map is online.
---
## Stats
- **Word count**: ~660 words
- **Estimated duration at 78 wpm**: ~510 seconds
- **Panels**: 6 × ~85s each
- **Companion**: Mental Health Access Gap V1 (adults, ~668 words, ~514s)
## Citations index (every numeric claim grounded)
| Claim | Source |
|---|---|
| 39.4% youth pop-weighted | `analysis_outputs.mh_gap_youth_v1_state_v1` aggregate |
| 41.8M under-18 covered | ACS B09001_001E sum |
| 35 states | analysis after population threshold |
| 16.8% adult companion | `analysis_outputs.mh_gap_tract_v1` aggregate (companion paper) |
| 85× supply range | (CT 500 / PR 5.8) |
| PR +2.39σ / NC +1.81σ / NJ +1.53σ | `analysis_outputs.mh_gap_youth_v1_state_v1.residual_z` |
| VT −1.70σ / AK −1.69σ | same |
| VT 1,059 / AK 1,085 / 100K | computed from NPPES + ACS |
| Sociopolitical patterns (UVM, IHS, post-Maria) | public record (referenced in dartboard narratives) |
## TTS production notes
- Voice: warm, documentary; match the adult companion's pacing
- Music underscore: instrumental at 12.5% per project audio rules
- Visual cues: state-level chloropleth + dartboard pulse (state-resolution viz to be produced)
- Companion style: deliberate echo of the adult paper's "Forty-one million" / "Six point three million" structure