Methodology · component
Healthcare Access — how we measure it
One component of the ZipVitals Score. This page covers only this component — what it is built from, how those sources reach your ZIP, where they stop, and how it enters the composite. For the full recipe and the whole weight table, see the main methodology page.
Effective weight 0.0526 of the composite · higher = better
Where this sits in the Score
How much care is physically reachable from here — hospitals, safety-net primary care, and nursing facilities. The second domain where a higher figure raises the Score.
Feeds domain
Healthcare Access
0.0526
effective weight · nominal 0.05 · higher = better
Healthcare Access is 1 of 9 scoring domains. Life expectancy is held out of the composite as an independent validator, so the nine renormalize to sum to 1.00 and this domain’s share lands at 0.0526.
It is built from 3 sources, listed below with what each one contributes and what it cannot tell you.
The sources feeding Healthcare Access
Each source is labeled with what kind of number it is — observed, model-based, or administrative — because a modeled risk surface and a counted facility are not the same kind of fact. We name which is which.
CMS hospitals
AdministrativeCenters for Medicare & Medicaid Services
Medicare-participating hospitals: how many are within reach, how far the nearest is, and what CMS’s star rating says about them.
The honest limit: Proximity is not admission. A hospital nearby says nothing about cost, wait time, insurance accepted, or which services it actually offers. CMS publishes no coordinates, so a share of hospitals resolve through a documented fallback path rather than an exact match — that rate is published in the coverage register.
HRSA federally qualified health centers
AdministrativeHealth Resources and Services Administration
Safety-net primary-care sites that serve patients regardless of ability to pay — often the only non-emergency care available in a low-income or rural ZIP.
The honest limit: A register of federally funded sites: it reflects funding status, not capacity, opening hours, or whether an appointment can be had. Domestic-violence shelter sites are withheld for safety.
CMS nursing homes
AdministrativeCenters for Medicare & Medicaid Services
Medicare- and Medicaid-certified nursing facilities and their CMS five-star ratings.
The honest limit: A facility that CMS has suppressed or has not yet rated carries no rating — never a low one. Presence is not availability: a bed on the map is not a bed you can get.
How these reach your ZIP
Every value is a fact about the ZIP itself. A source that is not published at ZIP level is rolled up against a published Census boundary file, weighted by population or land area as appropriate — never inherited from the county or state and rebranded as the ZIP’s. Where a legitimate ZIP value cannot be produced, the metric is shown as unavailable.
- CMS hospitals
- Geocoded facility locations, with distance measured to the ZIP boundary.
- HRSA federally qualified health centers
- Site locations inside the ZIP, plus distance to the nearest one outside it.
- CMS nursing homes
- Published facility coordinates, matched to the ZIP that contains them.
Coverage & limitations — for this component
This is the honest part. Every limit below is a published, named limit of this component specifically, so you can judge how far to trust one of its numbers. We treat limitations as a trust signal, not fine print.
Where this component’s data stops
- CMS hospital geocoding
- 15.11% of hospitals resolve by a fallback path (14.2% ZIP=ZCTA string match, 0.94% unresolved and excluded) rather than an exact point-in-polygon match. disclosed Fallback ZCTAs come from the canonical Census roster; the rate is published.
How it enters the Score
Every metric in this component goes through the same pipeline as the rest of the Score, then contributes to the Healthcare Access sub-score — which contributes its 0.0526 to the composite.
- Standardize. Each metric becomes a z-score against the national distribution of ZIP codes, so a concentration, a rate and a distance become comparable.
- Cap outliers. Each z-score is capped, so one extreme ZIP cannot dominate the scale.
- Build the sub-score. The capped metrics combine into the Healthcare Access sub-score, weighted by source and then equally within a source — so a source that publishes many metrics cannot swamp one that publishes few.
- Weight into the composite. Healthcare Access contributes 0.0526 to the domain-weighted sum, which is rescaled to the 0–100 Score.
Go deeper
This is one component of the method. Follow any of these for the whole picture, or for this component in context.