Health of America's ZIP Codes

Outcome story · mental health

Distress follows poverty. Diagnosis follows privilege.

Frequent mental distress tracks deprivation closely; diagnosed depression barely does. The gap between the two — diagnoses per unit of distress — rises with income and falls sharply where more residents are Black.

Diagnosed depression vs frequent mental distress · 32,304 ZIP/ZCTA areas

The atlas carries two mental-health measures that sound interchangeable and are not. Frequent mental distress asks whether people report 14+ bad mental-health days a month — a symptom. Diagnosed depression asks whether a clinician has ever told them they have depression — a symptom that was seen. Across ZIP codes the two correlate at only ρ = 0.6, and they answer to different masters: distress tracks deprivation (ρ = 0.53 with ADI, -0.6 with income), while diagnosed depression barely does (ρ = 0.29 and -0.26).

Diagnosis vs distress, ZIP by ZIP

Each dot is a ZIP code, colored by median household income — hover for the ZIP

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Nationally there are about 1.32 diagnoses per unit of distress (the dashed line marks 1:1). Look along any vertical slice: at the same level of distress, bluer (higher-income) ZIP codes sit higher — more of their distress has been converted into a diagnosis.

The diagnosis ratio is a privilege gradient

Divide diagnosed depression by distress and you get a crude but revealing index: how much of a place's misery has been clinically recognized. That ratio rises with income (ρ = +0.3) and college attainment (+0.24), and falls where more residents are Black (ρ = -0.35) — the strongest demographic association the ratio has. The literature's explanation is well-documented: differential access to care, differential help-seeking, and differential clinician recognition. The geography here is consistent with all three.

Diagnoses per unit of distress, mapped

Red = less diagnosis than the national ratio for the distress present · blue = more

The Deep South and immigrant-dense metros run red (high distress, comparatively few diagnoses); the Pacific Northwest, Upper Midwest, and New England run blue. This is not a map of mental illness — it is a map of recognition.

Every state's diagnosis ratio

Population-weighted diagnosed depression ÷ frequent mental distress

VT, MN, UT convert distress into diagnosis at the highest rates (1.67, 1.62, 1.57); NJ, FL, HI at the lowest (1.04–1.09). A state can simultaneously have low distress and high diagnosis — that is the access signature.

The caveat cuts both ways and deserves emphasis: a high ratio can mean good access or over-diagnosis; a low one can mean unmet need orgenuine resilience. What the data rules out is reading “diagnosed depression” as a clean map of suffering — it is suffering filtered through the health system that did, or did not, see it.

Read this carefully. Estimates are CDC PLACES-style model-based small-area estimates, not direct measurements. Every association here is ecological — it describes places, not people, and implies nothing about causation. Cross-measure models are fit on the ~23,800 ZIP/ZCTA areas with complete data on all 26 measures (coverage is limited mainly by the newer social-needs measures); maps and community-type assignments extend to areas observing at least 18 of the 26. Full details on the methods page.