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ZipVitals

Methodology · component

Preventive Care — 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 0.1263 of the composite · higher = better

Where this sits in the Score

Whether people here are getting the routine care that catches problems early — checkups, screenings, dental visits and vaccination. This is one of two domains where a higher figure raises the Score.

Feeds domain

Preventive Care

0.1263

effective weight · nominal 0.12 · higher = better

Preventive Care 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 0.1263.

It is built from a single source, listed below with what each one contributes and what it cannot tell you.

See the full weight table →

The sources feeding Preventive Care

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.

CDC PLACES — prevention measures

Model-based

CDC

Adult use of preventive services: routine checkups, cholesterol and blood-pressure screening, cancer screenings, dental visits and vaccination.

The honest limit: These are model-based estimates, not counts of people: CDC builds them from a national health survey combined with census demographics, so a figure here is a prediction for a place like this one. CDC publishes no age-adjusted version at ZIP level, so ours is crude — a ZIP with an older population reads higher partly because it is older.

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.

CDC PLACES — prevention measures
Published by CDC at ZIP level. No rollup of ours is involved.

The site-wide rollup, proximity and vintage rules →

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.

What these numbers actually are

Chronic disease, prevention, risk behavior, mental health, disability
CDC PLACES estimates, not counts of people. CDC builds them from a national health survey combined with census demographics, so a prevalence here is a prediction for a place like this one — not a tally of who has the condition. CDC publishes no age-adjusted version at ZIP level, so ours is crude (see the collinearity note above). Resolution: Published by CDC at ZIP level. No rollup of ours is involved.

Where this component’s data stops

No limit is published for this component beyond the ones that apply site-wide — the reliability floor that suppresses rates built on too few people, the restricted coverage in US territories, and each source’s own limit stated above. That is not a claim of completeness: it means this component has no additional named gap in the coverage register.

The full coverage register, every component →

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 Preventive Care sub-score — which contributes its 0.1263 to the composite.

  1. Standardize. Each metric becomes a z-score against the national distribution of ZIP codes, so a concentration, a rate and a distance become comparable.
  2. Cap outliers. Each z-score is capped, so one extreme ZIP cannot dominate the scale.
  3. Build the sub-score. The capped metrics combine into the Preventive Care sub-score, weighted by source and then equally within a source — so a source that publishes many metrics cannot swamp one that publishes few.
  4. Weight into the composite. Preventive Care contributes 0.1263 to the domain-weighted sum, which is rescaled to the 0–100 Score.
Compensatory, higher = better. More of what this component measures raises the Score, but it is one dimension of nine — a ZIP that is well served here and heavily burdened elsewhere lands mid-scale rather than being carried by this alone.

Go deeper

This is one component of the method. Follow any of these for the whole picture, or for this component in context.

The other components