Access Gap · America's Future

Rank #9 of 10 by shortfall

Harbor PointMD

Low gap

Treatment slots

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

200

Estimated need

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

210

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.

of estimated need is currently unmet.

95% covered5% gap

Adding 10 slots would fully close this region's gap. Model it on the plan page →

Open methodology

Medicaid SUD claims, unique enrollees, 12-mo.

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 "Harbor Point"
slots        = 200
est_need     = 210
shortfall    = max(0, 210 - 200) = 10
gap_score    = round(10/210 * 100) = 5%
coverage     = 95%
severity     = low
sha256(inputs) = 2152aa0262d077b0…  (aggregate-only)
individual_records_touched = 0

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Harbor PointMD

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.