America's Future · 80th Anniversary

Access Gap

Sara Carter · ONDCP

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Rank #1 of 10 by shortfall

Riverside CountyCA

Critical gap

Treatment slots

?

Treatment slots

Funded or available treatment capacity in this region right now. This is the "supply" side of the gap.

120

Estimated need

?

Estimated need

Estimated people needing treatment, derived by the open method shown below. A region total — never a list of individuals.

400

People short

?

People short

Unmet need: max(0, need − slots). The number of added slots that would fully close this region's gap.

280

Access gap
?

Access-gap score

The share of estimated need that current capacity does not cover: round(max(0, need − slots) ÷ need × 100). 0% means need is fully met; higher means worse access. It never divides by zero — a region with no estimated need shows a 0% gap.

70%

of estimated need is currently unmet.

30% covered70% gap
Critical gap

Adding 280 slots would fully close this region's gap. Model it on the plan page →

Open methodology

SAMHSA prevalence rate × county adult population, 12-mo OUD.

Need estimates are region totals only. No individual is represented, queried, or stored. Gap = max(0, need − slots) ÷ need.

Computation audit

access-gap.audit
$ gap --region "Riverside County"
slots = 120
est_need = 400
shortfall = max(0, 400 - 120) = 280
gap_score = round(280/400 * 100) = 70%
coverage = 30%
severity = critical
sha256(inputs) = 0298e026f5f623bc… (aggregate-only)
individual_records_touched = 0

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