Rank #4 of 10 by shortfall
Old Mill ValleyWV
Treatment slots Treatment slots?
60
Estimated need Estimated need?
250
People short People short?
max(0, need − slots). The number of added slots that would fully close this region's gap.
190
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.
?
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.76%
of estimated need is currently unmet.
Adding 190 slots would fully close this region's gap. Model it on the plan page →
Open methodology
Naloxone-administration counts × 4 (NSDUH treatment-gap factor).
Need estimates are region totals only. No individual is represented, queried, or stored. Gap = max(0, need − slots) ÷ need.
Computation audit
$ gap --region "Old Mill Valley"slots = 60est_need = 250shortfall = max(0, 250 - 60) = 190gap_score = round(190/250 * 100) = 76%coverage = 24%severity = criticalsha256(inputs) = f64041b1d6bb7c5a… (aggregate-only)individual_records_touched = 0
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