The register
What the public has told the government
Shown at about 200 answers as an illustrative sample, so every section reads at scale. The exports and the API carry only real answers. The live count holds exactly what people have sent so far.
Every row is a count of what people sent through this tool, with its N and its dates.
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thumbs on published federal figures
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people reporting uncounted care
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burden rankings
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written interviews
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Who published the figures each section is about
A thumb on a published federal figure, an event no dataset recorded, or a ranking of which cost weighed most — each published with its N, its denominator, its dates and where the people came from. Nothing identifies anyone.
- Corrections — bound to one row of one published file. Of the 274 rows this tool prices, 257 were published by CMS, 12 come from AHRQ's MEPS survey, 2 from AHRQ's HCUP, 2 from the Bureau of Labor Statistics and 1 from the General Services Administration. Two of the MEPS rows are a peer-reviewed analysis of that survey rather than an AHRQ publication, and every screen that prints them says so. Each correction below is grouped under the body that published it.
- Care that produced zero rows — about what MEPS and HCUP (AHRQ) and Medicare claims (CMS) do not record at all. No published figure exists to correct; this is the count of the absence.
- The burden ranking — the stated basis for weighing kinds of burden, the question NIH health economists put to every cost-of-illness estimate. Published as a distribution with its N, with no weighting scheme of ours underneath.
We publish no agency inbox we have not verified, so nothing here mails anyone automatically. Every correction below copies out as a citation block — the row, the file, the figure and the count — that a person at the publishing body can act on directly.
Which cost weighed most, ranked by the people who carried it loading
Thinking about the whole time you were looking for a diagnosis, rank these from heaviest to lightest. Five burdens, ranked by each person. Reported as how many put each first, how many put it last, and the mean position. No weighting scheme of ours underneath.
Corrections on published federal figures loading
Each ledger line carries a thumb, and a thumb is bound to the exact published row the price came from. They are grouped here under the body that published the row, then under the file it is in, so enough of them on one row is something that body can act on. 52 of the 274 rows also carry a figure for each of the 109 Medicare localities, so a correction can be read against the figure for the place the person actually lives.
Care that produced zero rows in federal data loading
MEPS, HCUP and CMS claims record care that was delivered and billed. A visit that never happened, a test that was refused, months lost waiting: none of it leaves a row. This is the count of it, out of 0 people who answered.
Written interviews loading
Held privately, never served. What changes because of them is published here as “a user said this, so we changed that”, with quotes only where the writer chose to be quoted. Give one.
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Take the data
De-identified CSV, the data dictionary that describes every field, and the method. An agency, a researcher or a committee staffer can use these without asking us. The corrections file carries the federal file, its SHA-256 and the line each figure was read from, so a correction can be routed to the office that published the number.
Burden rankings
One row per response: the five burdens in the order that person put them, with the date and the channel.
CSVCorrections, ready to route
Every thumb joined to the federal file behind the figure: the file by name, its URL, its SHA-256, the line the figure was read from, the audit verdict, the counts and the fit rate. An analyst at the agency that published the number can act on it without opening this site.
JSONThe same file, machine-readable
A DCAT distribution carrying its own column contract, the price-table version, the audit date, and the CY2024 charge an uninsured person is billed against where CMS publishes one.
CSVUncounted care
Care that produced no row in any federal file, counted by category with its denominator.
CSVData dictionary
Every field in every export above: what it means, its type, and how it is counted.
JSONEverything on this page
The whole register as one document, the same one this page reads. No key, no sign-in.
METHODHow every figure is made
The file, the row and the arithmetic behind each of the 274 priced rows.
Method: every figure on this page is a count of responses exactly as entered. No weighting scheme of ours, no imputation, no extrapolation to a population. The sample is self-selected and recruited through the channels listed; it describes the people who answered and nobody else. A raw N with its denominator and a date is published with every number so it can be read as what it is. Any cell holding fewer than 11 responses in a named place is withheld and counted as withheld. That threshold is ours, not an obligation we are under, and 11 is where it sits because it is the floor CMS puts on researchers using its own beneficiary files: under the CMS cell-size suppression policy no cell holding 1 to 10 people may be reported at all.