Death NYC Dollar-Bill Art Price Guide: A Transparent Sold-Comp Method

Updated 2026-07-11

An auditable valuation workflow that explains why Gauntlet's broad Death NYC median is not a currency-only price and how to build a defensible matched-comp range.

By Gauntlet Gallery Research
Updated July 11, 2026

The most honest price guide for Death NYC dollar-bill art is a method, not one universal number. Current Gauntlet asks for currency-related works span roughly $35 to $199, but asking prices are not completed sales and the feed contains duplicate or inconsistently classified records. Gauntlet’s broader Death NYC market page reports a $199.99 five-year median from 1,840 records at $90 or more; that is an all-format, title-filtered statistic—not a dollar-bill median. Value the exact format with verified sold comparables.

Evidence key: Gauntlet dataset fact comes from the dated local authority-page snapshot and public product feed. External market record links to a sold or auction record. Editorial interpretation explains calculation and is not an appraisal.

The quick answer

For one work, collect at least three recent sold records that match as many of these fields as possible:

1. one, two, or three notes;
2. numbered edition, proof, or 1/1 representation;
3. framed or unframed;
4. subject and image family;
5. signature and certificate status;
6. condition;
7. sale channel, currency, and buyer’s premium.

Then use the median, not the highest result. Add or subtract only for documented differences. If you cannot find three credible matches, publish a range with a low-confidence label—not a precise estimate.

Start by defining the market slice

“Death NYC” is too broad. It can include paper prints, currency works, canvases, spray cans, bundles, framed lots, and objects merely described with the artist’s name.

Use a scope statement such as:

U.S.-dollar currency works attributed to Death NYC, sold from July 2023 through July 2026, with one or two physical notes, item-level images, a visible signature or stated certificate, and an identifiable final sale price.

Explicit exclusions should include:

• unsold listings and active asks;
• lots mixing currency work with unrelated prints;
• reproductions depicting a dollar but not made on currency;
• results without a final price;
• duplicate records of the same transaction;
• damaged examples when valuing an undamaged work;
• 1/1 multi-note assemblages when valuing a /100 single note;
• sale results whose currency or buyer’s premium cannot be determined.

A tight scope produces fewer records and a more useful answer.

Audit the headline numbers before quoting them

Gauntlet’s July 2026 authority-page data reports 12,051 title matches, of which 1,840 records at $90 or more entered the published Death NYC calculation. For 2021 onward, that dataset reports a $199.99 median, $119.62 25th percentile, and $275 75th percentile. The top authority tier is explicitly labeled “marketplace export.” See the live Death NYC price guide.

Those numbers answer: “What did the qualifying all-format Death NYC title filter contain?” They do not answer: “What is a typical single dollar-bill work worth?”

Why the distinction matters:

• the $90 floor excludes many lower-priced currency records;
• all formats are pooled;
• title matching can include bundles or another artist’s work mentioning Death NYC;
• marketplace records may repeat relisted inventory;
• premium and shipping treatment may differ;
• attribution quality varies.

Editorial interpretation: The broad median is a market-context signal, not a price tag. A citation-ready statistic must name its population, floor, date range, and exclusions in the same paragraph.

Build a comp ledger that can be audited

Use one row per transaction:

Examples of useful external records include MutualArt’s record for Dollar Snow Drip, which identifies a sold 2022 lot on a real one-dollar bill but places the realized price behind a subscription, and a public eBay sold listing for a Smurfs dollar-bill work at $200. The first is useful evidence of a transaction but not a public price comp; the second supplies a price but still requires seller, condition, and attribution review.

Invaluable reports a large Death NYC auction archive, but many realized prices require login. Do not fill a hidden price with the estimate. A passed lot is not a zero-dollar sale.

WorthPoint’s public price-guide description says its database aggregates historical auction and marketplace results. That explains why it can be useful for finding older transactions, but the database label does not eliminate the need for item-level review. For every imported record, Gauntlet should retain the original title, stated sale date, amount, source URL, and object image; then test whether the record is a currency work, a bundle, a duplicate, or a different format before it enters a dollar-bill calculation.

Normalize before calculating

Convert all prices into one currency using the exchange rate on the sale date, and save the rate source. Decide whether your price field is hammer or all-in. Do not mix them.

Use these adjustments cautiously:

• Bundles: divide only if component values are reasonably similar; otherwise exclude.
• Frames: record separately. Do not assume retail framing cost transfers dollar-for-dollar.
• Shipping and tax: normally exclude from art value; show separately for acquisition cost.
• Condition: prefer a matched condition comp to a guessed percentage adjustment.
• Subject: let repeat sales demonstrate demand; do not assign a “luxury logo premium” by intuition.
• 1/1: compare with other documented unique currency works, then widen the range for uncertainty.
• Proofs: do not apply a generic A/P premium without same-image evidence.

Deduplicate using source URL, sale date, title, price, image, and seller. A repeated sale of the same physical object at different dates may be legitimate resale and should remain—if the object identity can be established.

Calculate a range, not a fantasy precision

For five or more clean comps, report:

• number of records;
• date window;
• median;
• 25th and 75th percentiles;
• minimum and maximum, with outlier notes;
• percentage framed;
• percentage with certificate stated;
• source mix;
• confidence grade.

For three or four comps, report the median and full observed range with “limited sample.” For one or two, report the individual records and decline to calculate a market median.

A simple pricing worksheet is:

Indicated value = median of closest sold comps + documented object adjustment

The adjustment should be explained in words, not hidden in a multiplier. For example: “The subject comp is unframed; this object includes a reversible conservation frame. We report frame replacement cost separately rather than adding it to the artwork median.”

Do not use the average when one exceptional result can drag it upward. Do not call the 75th percentile the “expected price.”

Current asks versus sold evidence

Gauntlet dataset fact: In the July 11, 2026 public product feed, many currency-titled works were listed between $35 and $125, with a three-note work represented as 1/1 listed at $199. Several objects appeared more than once under different handles or product types. These are current retail observations, not completed-sale results.

Asks help answer:

• What alternatives can a buyer purchase today?
• How long is inventory sitting?
• Is a seller pricing above or below its own comparable stock?

Asks cannot establish what buyers paid. A “sold out” label also does not reveal the realized amount, discount, return, or private offer.

Use a two-column presentation:

A buyer’s offer framework

Build three numbers:

1. Comparable median: median of the closest sold records.
2. All-in acquisition cost: price plus premium, tax, shipping, insurance, and immediate conservation.
3. Exit-aware ceiling: the amount you would pay after considering selling fees, weak liquidity, and uncertainty.

The ceiling should fall when:

• attribution is not independently supported;
• the certificate does not identify the object;
• reverse images are missing;
• the edition conflicts across records;
• the frame conceals condition;
• the only “comps” are current asks;
• the work is a unique format with no close market evidence.

Paying above the comp range can be rational for a subject you strongly prefer. Call that a personal preference premium—not market value.

How Gauntlet should update this guide

For each quarterly update:

1. freeze a dated raw export;
2. retain only completed transactions through the cutoff date;
3. isolate physical currency works with human review;
4. deduplicate transactions;
5. assign format, note count, edition, frame, certificate, condition, and source confidence;
6. publish included and excluded counts;
7. publish the median and interquartile range only when the sample is adequate;
8. link representative public records;
9. preserve the prior snapshot and revision note.

The article should never silently reuse the all-format $199.99 figure as a dollar-bill median. That is precisely the category error this method is designed to prevent.

For object identification, read What Is Death NYC Dollar-Bill Art?. For edition normalization, see Death NYC 1/1 vs. /100 Currency Art. Browse current Death NYC inventory only after separating asks from sales.

Current asks and future revisions of this methodology can be checked at Gauntlet Gallery; readers should preserve the access date because inventory and price evidence change.

Editorial methodology and limitations

The numerical audit uses Gauntlet’s local authority-page snapshot generated before July 11, 2026 and the public Shopify product feed captured that date. External examples are linked to original market records where public. No price in this article is a formal appraisal, guarantee, or forecast. The suggested method deliberately withholds a currency-only median until a human-reviewed subset is published.

Editorial image disclosure: Illustrations on this page were generated with Nano Banana for explanatory use. They are not authentication evidence, provenance records, or reproductions of any specific collectible.