Access Gap · America's Future

Rank #7 of 10 by shortfall

LakeviewMN

Low gap

Treatment slots

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

150

Estimated need

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

170

People short

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

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.

12%

of estimated need is currently unmet.

88% covered12% gap

Adding 20 slots would fully close this region's gap. Model it on the plan page →

Open methodology

State BH survey prevalence × adult population.

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 "Lakeview"
slots        = 150
est_need     = 170
shortfall    = max(0, 170 - 150) = 20
gap_score    = round(20/170 * 100) = 12%
coverage     = 88%
severity     = low
sha256(inputs) = ad2d62a1a4cb4ce7…  (aggregate-only)
individual_records_touched = 0

Ask AI

AI can be wrong. Not medical, legal, or financial advice.

LakeviewMN

Access gap?Access-gap scoreThe 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.

Open methodology

Computation audit

Ask AI

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.