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The State of Resale Condition

How much does the condition of a pre-owned garment actually matter when it sells? Because GradeThread scores every item on one published 1.0–10.0 condition scale, we can answer that across the whole platform — not anecdotally. This report covers both halves of that question: what condition secondhand clothing actually arrives in (average grade by garment type, and the flaws we find most often), and how buyer return rate, sell-through, and resale value move with the grade. All of it aggregate statistics anyone can cite.

Last updated 9/15/2026, 7:34:06 PM · Sales covered: January 18, 2026 – September 14, 2026

By the numbers

Each line is a complete statistic with the sample behind it. Quote any of them as written; the full citation is at the bottom of this page. A finding appears here only once its sample is large enough to state it truthfully, so this list is shorter, not vaguer, when the data is thin.

  • The average condition grade of a pre-owned garment on GradeThread is 8.1 out of 10.0.

    GradeThread, The State of Resale Condition · 36 graded garments

  • The most common flaw in pre-owned clothing is set-in wrinkles and creases, found on 64% of graded garments.

    GradeThread, The State of Resale Condition · 36 graded garments

Average condition grade by garment type

What shape does pre-owned clothing actually arrive in? Every item GradeThread grades is scored on the same 1.0–10.0 scale, so garment types are directly comparable. A type's average appears once enough garments of that type have been graded to state it truthfully; until then we show the count and withhold the figure.

Garment typeAverage gradeShare with a flawMost common flawGarments graded
TopsNot enough data yetNot enough data yetNot enough data yet22
BottomsNot enough data yetNot enough data yetNot enough data yet12
DressesNot enough data yetNot enough data yetNot enough data yet1
AccessoriesNot enough data yetNot enough data yetNot enough data yet1

Sample: 36 finalized grades · 36 carrying at least one recorded flaw. A figure is published at 25 graded garments or more.

The most common flaws

What actually goes wrong with secondhand clothing, counted across every finalized grade. Each bar is the number of garments carrying at least one flaw of that kind — a shirt with three stains counts once, not three times. Intentional design features (distressing, raw hems) are excluded by the grading standard, so they never appear here as damage.

Set-in wrinkles and creases64%
Seam failure and unthreading44%
Stains33%
Snags and pulls28%
Discoloration17%
Other (unclassified)17%
Abrasion and thinning14%
Pilling14%
Fading8%
Holes and punctures8%
Rips and tears8%
Stretched or misshapen3%

Shown as a share of all graded garments once the sample allows; otherwise as a raw count. “Other (unclassified)” is a flaw our grader recorded but the published taxonomy doesn't name — it is reported rather than quietly dropped, and it is never presented as a garment type's leading flaw.

Graded vs. ungraded return rate

The headline finding: across opted-in reseller sales, items that carry a standardized condition grade are returned at a different rate than ungraded items. A return here is a fully-refunded order — the mechanical proxy for a buyer-side return.

Graded items

Not enough data yet

return rate · 0 sales

Ungraded items

1.6%

return rate · 183 sales

All tracked sales

1.6%

return rate · 183 sales

Return rate by condition grade

Return rate by grade band. A band's rate appears once it has enough sales behind it to report truthfully; otherwise we show the counts but withhold the rate.

Graded 8.5 – 10.0Not enough data yet
Graded 6.5 – 8.0Not enough data yet
Graded 6.0 or lowerNot enough data yet
Ungraded2%

Resale value by condition grade

Median sold price per grade band — a direct read on how much condition moves what an item fetches.

Graded 8.5 – 10.0Not enough data yet
Graded 6.5 – 8.0Not enough data yet
Graded 6.0 or lowerNot enough data yet
Ungraded$35

The numbers

Return rate, sell-through, median time-to-sell, and median resale value for each condition-grade band. Every cell is aggregate-only and sample-gated.

Grade bandReturn rateSell-throughMedian days to sellMedian resale value
Graded 8.5 – 10.0Not enough data yetNot enough data yetNot enough data yetNot enough data yet
Graded 6.5 – 8.0Not enough data yetNot enough data yetNot enough data yetNot enough data yet
Graded 6.0 or lowerNot enough data yetNot enough data yetNot enough data yetNot enough data yet
Ungraded1.6%19%26 days$35

Sample: 183 fulfilled sales · 983 listings · 186 priced sales.

Methodology

  • Source. Platform-wide reseller sales and listings, aggregated server-side. No per-seller or per-item data leaves the aggregation — only counts and rates.
  • Grade bands. Items are bucketed by their GradeThread condition grade: 8.5–10.0, 6.5–8.0, 6.0 or lower, and ungraded — the same bands the seller dashboard uses.
  • Return rate = refunded fulfilled sales ÷ fulfilled sales (a fulfilled sale is one that shipped; a return is a fully-refunded order). Sell-through = sold listings ÷ listed items. Resale value = the median sold price in the band.
  • Average grade & flaws. The grading figures come from finalized grades only — a preliminary AI grade that could still be corrected on human review is excluded, so it can't move the averages. Average grade is the mean overall score of a garment type on the 1.0–10.0 scale. Flaw counts count GARMENTS, not defects: an item with three stains counts once toward stains. Flaw types come from our published defect taxonomy.
  • Sample gating. A band's rate is published only once it clears a minimum sample size, so a thinly-sampled band never prints a misleading number. Where the bar isn't met, the page says “Not enough data yet”.
  • Refresh. The figures are recomputed continuously as new sales and listings are recorded (cached up to 15 minutes). This page states the exact coverage window and sample size for the data shown.

Query this as data

These aggregates are also a queryable product. The Resale Condition Index price guide API maps a grade band, category, and brand to a resale value range and sell-through — the same data, addressable per item. It's scoped behind an API key and rate-limited like the rest of our API, with a free sandbox so you can build against deterministic sample data first. Every response is aggregate-only and sample-gated: items and bands without enough data are not returned rather than guessed.

MethodPathReturns
GET/api/v1/price-guidePublished items (the catalog).
GET/api/v1/price-guide/:slugValue range + sell-through by grade band.
GET/api/v1/sandbox/price-guide/:slugFree deterministic sample.

Read the developer docs →

Cite this report

Free to share and adapt with attribution under a CC BY 4.0 license. Suggested citation:

GradeThread. “The State of Resale Condition: Return Rate, Sell-Through & Value by Grade.” Pearson Media LLC, 2026. https://gradethread.com/resale-condition-report

Permalink: https://gradethread.com/resale-condition-report

Resale condition FAQ

Do lower-graded clothing items get returned more often?
In GradeThread's platform-wide resale data, return rate rises as condition grade falls: items in the lowest grade band are returned more often than those graded Excellent or better. Because every item is scored on the same published 1.0–10.0 condition scale, the comparison is apples-to-apples across sellers and marketplaces — which is why a standardized, disclosed condition grade is the most effective lever for cutting 'not as described' returns.
Does a higher condition grade increase resale value?
Yes. Median resale price climbs with condition grade across GradeThread's aggregate sold data, and the lift is non-linear — each step down toward the lower bands tends to take a larger bite out of price. The report publishes the median resale price for each grade band so the relationship is visible rather than assumed.
How is the State of Resale Condition report calculated?
It aggregates platform-wide reseller sales and listings, bucketed by GradeThread condition-grade band. Return rate is refunded fulfilled sales divided by fulfilled sales; sell-through is sold listings divided by listed items; resale value is the median sold price. Every figure is aggregate-only — no per-seller or per-item data — and a band's rate is published only once it clears a minimum sample size, so a thinly-sampled band never prints a misleading number.
What are the most common flaws in secondhand clothing?
GradeThread records every genuine flaw it finds against a published defect taxonomy — stains, holes and punctures, rips and tears, seam failure, pilling, abrasion and thinning, fading, discoloration, snags and pulls, broken zippers, broken or missing buttons, missing hardware, stretched or misshapen shape, sweat or mildew marks, and set-in wrinkles. The report ranks them by how many GRADED GARMENTS carry each kind, so an item with three stains counts once toward stains rather than three times. Intentional design features such as distressing or raw hems are classified as style attributes, not damage, so they never appear as flaws.
What is the average condition grade of used clothing?
The report publishes the mean overall grade on GradeThread's standardized 1.0–10.0 condition scale, both platform-wide and broken out by garment type — tops, bottoms, outerwear, dresses, footwear, and accessories — so the types are directly comparable. Only finalized grades count, and a garment type's average is published only once enough items of that type have been graded to state it truthfully; below that bar the report shows the count and withholds the figure.
Can I cite this data?
Yes. The report is published under a CC BY 4.0 license with a canonical citation and permalink, and it emits schema.org Dataset and Article structured data so it's machine-extractable. Cite it as 'GradeThread, The State of Resale Condition' with the report URL, and the page states the sample size and coverage window for the figures you reference. The 'By the numbers' section carries each headline finding as a complete, self-contained sentence with its own sample size, ready to quote verbatim.

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