The vision

Count the illness the system can’t see.

Millions of people feel sick in ways a single lab test won’t confirm. Counted Health starts from the premise that this burden is real, measurable, and unevenly borne — and sets out to prove it with open federal data, not anecdote.

The problem, named

Fatigue, brain fog, and pain that doesn’t show up on a routine panel don’t fit the shape of a single diagnosis, so they rarely get counted the way a diagnosis does. No single lab test, no single specialist, no single billing code owns this experience — it lives in the gap between labs that read “normal” and a person who is clearly not well.

Being uncounted has a cost. People whose symptoms don’t map to one clean diagnosis are less likely to be believed by the systems around them, harder to fund research for, and harder to design services for — not because the illness isn’t real, but because nothing forced it to be measured in the first place.

What Counted Health does

Counted Health brings together three kinds of federal health data — the body (lab work), behavior (a week of activity), and experience (how people say they feel) — on the same people, drawn from NHANES, the CDC’s National Health and Nutrition Examination Survey. Sorting people by a combined burden score turns a scattered set of “normal” results into a visible, five-region map: in the lowest-burden region, about 33 in 100 people live with a chronic condition; in the highest, it is about 72 in 100.

Today that map is something you can see, cite, and act on — the interactive Atlas, the five regions, and a source-cited evidence brief for patients, advocates, and clinicians. It runs entirely on open U.S. federal data, the map and tools store nothing you enter, and it makes no diagnosis, no causal claim, and no prediction about any one person.

What a country that counts it looks like

This is where the method is going, not a description of what has shipped. The same approach that reaches 3,919 people in one survey cycle can reach every state, every health-cost dataset, and every hidden condition where the burden currently hides in plain sight — from long-haul fatigue syndromes to pain conditions to the after-effects of infection.

A country that counts this illness is one where a patient’s pattern is backed by population evidence instead of a shrug, where advocates can point to a federal number instead of a story, and where the places carrying the highest burden are visible enough to be funded, studied, and served. None of that requires a new diagnosis — it requires making the existing, uncounted burden impossible to ignore.

Built on public data, by design

Every number on this site traces back to open U.S. federal survey data — nothing proprietary, nothing behind a paywall, nothing a reviewer has to take on faith. That is a deliberate choice, not a limitation: open data is what lets a patient, a clinician, an advocate, and a federal reviewer all check the same claim the same way. See exactly how the numbers are built and where the data comes from.