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Methodology

Last updated 26 July 2026

This page describes exactly how a HealthDeed Score is produced. It is written to be checkable: if you disagree with a weighting or a rule, you should be able to see precisely what it is and argue with it.


The core rule: only property-specific data is scored

Every indicator we collect is classified by the resolution of the data behind it. That classification decides both how the figure is displayed and whether it counts toward the score at all.

The reason for excluding contextual indicators is simple: a state baseline is identical for every address in that state, so it cannot distinguish your house from any other, and including it would dilute the indicators that can. Those indicators still appear on the report, under “State & regional context”, because they are useful background — they just do not move the number.

A category is scored only if it owns at least one measured or modeled indicator. If none does, the category reads “Not scored”. If no category qualifies, no score is produced and the report says so rather than inventing one.

Category weights

The composite is a weighted average of the categories that could be scored, renormalised across them. Weights are:

Water and air carry the most weight because they are the exposure routes with the clearest evidence linking them to health outcomes, and the ones a buyer can least easily observe. Radon is deliberately modest at 10%: the public data is a county or state classification rather than a measurement, so it should be visible without being able to swing the result.

Sources and their true resolution

How proximity is weighted

Point hazards are distance-weighted, never counted as a simple in-or-out radius. Facility burden is derived from the distance to the nearest facility in stepped bands (under 0.25 miles, 0.5, 0.8, 1.2, then decaying), combined with a log-scaled count of facilities within 1.5 miles.

A sparse count is capped: one nearby reporting facility can produce at most a moderate burden figure, and a high one requires an actual cluster. This exists because the public data records that a facility reports to the EPA, not how much it emits — without release volumes, proximity alone cannot distinguish a scrap dealer from a refinery. Adding release volumes is planned, and until then the cap is the honest compromise.

Missing data

When a source cannot be reached, the report lists it as unavailable rather than silently substituting something. The confidence interval shown beside the score widens to reflect what was missing. We would rather show you a gap than a number we cannot stand behind.

Reproducibility

Scoring is deterministic: the same address scored against the same data snapshot always produces the same result. Every report is stored with the raw and normalised data it was built from, plus retrieval timestamps. A purchased report renders from its stored snapshot and does not change unless you choose to refresh it.

Known limitations

We publish these because a methodology that lists no weaknesses is not a methodology, it is marketing.

Methodology — HealthDeed