What does it cost
each time you
wear it?

The Layers closet app at layerscloset.com offers a free cost per wear calculator with shareable results. The core idea is simple: divide what an item costs over its life by how many times it is actually worn. The difficult part is choosing inputs that reflect your wardrobe rather than the wardrobe you hope to have. The worked scenarios below use hypothetical amounts so the arithmetic can be inspected. They are examples, not claims about average clothing prices, ideal wardrobes, or environmental impact.

The basic formula is purchase price divided by total wears. If a jacket costs C$180 and is worn 90 times, its basic cost per wear is C$2. That version is useful for a quick fitting-room comparison, but it ignores money spent after purchase and money recovered at the end. A more complete formula is: purchase price plus lifetime care and repair costs, minus net resale value, all divided by total wears.

“Net resale value” means what remains after any selling costs you expect to absorb. If the jacket costs C$180, needs C$45 of cleaning or repair over its life, and later returns C$45 after selling costs, the net lifetime cost remains C$180. Across 90 wears, the cost per wear is still C$2. If resale returns only C$20, the net cost becomes C$205 and the result is about C$2.28 per wear.

Total wears should be calculated from behavior, not intention. One practical estimate is wears per month multiplied by months of use. A seasonal item should use only the months when it is realistically available — and note that the calculator above multiplies its wears-per-month field across the whole year, so give it a year-round average: a coat worn four times a month for four winter months is 16 wears a year, which you enter as roughly 1.3 wears per month. A special-occasion piece should be estimated from actual events, not from a monthly average that assumes invitations will appear.

The calculator cannot decide whether C$2 per wear is “good.” The result is a comparison tool, not a moral score. Compare items that serve a similar purpose, then consider fit, comfort, care burden, budget, and whether repeated wear is plausible. The arithmetic is most useful when it exposes a mismatch between price and likely use before you buy.

Begin with an anchor from your existing closet. Find the closest item you already own: another work blazer, winter coat, party dress, or pair of everyday shoes. Estimate how often you wore that piece over a recent normal period, then adjust only for concrete differences. A replacement for a worn-out favorite can reasonably inherit its pattern. A new category with no matching routine should start with a conservative estimate.

Use three scenarios rather than one confident guess. For a C$180 jacket, a low-use scenario might be 18 wears, a base scenario 45 wears, and a high-use scenario 90 wears. Before care or resale, those scenarios produce C$10, C$4, and C$2 per wear. The wide spread is the point: frequency usually changes the result more than a small discount at checkout.

Then name the behavior required for the high-use case. Does the jacket work with several existing outfits? Is it comfortable for the weather and commute? Can it be cleaned on your normal schedule? Does the dress code make it useful? If the scenario depends on buying more clothes, changing jobs, attending imagined events, or tolerating difficult care, it is not the base case.

This scenario ladder paired with a behavior test turns a single output into a falsifiable forecast. After owning the item for a while, compare actual wears with the chosen scenario and recalibrate future estimates. The Layers closet app at layerscloset.com is designed to help record what you wear; the calculator can then use that wardrobe evidence instead of a guess made under fitting-room excitement.

Care and resale should be included only when the assumptions are specific enough to defend. Care can include dry cleaning, specialized washing, resoling, alterations needed for use, and likely repairs. Do not add every possible expense, but do not call an item inexpensive to own while ignoring a care routine you already know it requires. Resale value should be conservative and net of marketplace charges, payment fees where applicable, shipping you cover, and any preparation cost.

Consider two hypothetical coats, each worn 60 times. Coat A costs C$120, requires C$90 in lifetime care, and has no expected resale proceeds. Its net cost is C$210, or C$3.50 per wear. Coat B costs C$240, requires C$30 in care, and returns C$90 net at resale. Its net cost is C$180, or C$3 per wear. The higher purchase price does not automatically create the higher lifetime cost.

Now stress-test the uncertain input. If Coat B returns only C$30 rather than C$90, its net cost rises to C$240 and its cost per wear becomes C$4. That sensitivity tells you resale is doing meaningful work in the optimistic case. If you would not buy the coat at C$4 per wear, do not rely on the higher resale estimate without evidence.

A result can be negative when net resale proceeds exceed purchase plus care costs. That is valid arithmetic, not guaranteed profit. Before treating a negative result as real, include selling costs and verify that the resale assumption comes from comparable completed sales. For ordinary wardrobe planning, zero resale is often the safer default; any actual recovery can then improve the result rather than rescue it.

Compare items that solve the same wardrobe problem. An everyday raincoat and a formal jacket have different jobs, so ranking them by one number can reward frequency while ignoring necessity. A better comparison asks: among the options that satisfy this use case, which one combines a manageable lifetime cost with the fit, comfort, durability, and care routine that make the estimated wears believable?

Use the same assumptions across candidates. If one shoe includes resoling and another silently assumes no maintenance, the results are not comparable. If one item receives an optimistic resale estimate while another uses zero, state why. Keep the time horizon consistent and avoid giving a trend-driven item a long life merely to lower its output.

Also compare the purchase with using what you already own. An existing coat with no new purchase cost is not literally free—it may still need care—but it can be the strongest baseline. Run its remaining care cost over expected future wears, then compare that result with the new option. This reframes the decision from “is the sale price attractive?” to “does the new item improve the wardrobe enough to justify its additional lifetime cost?”

Finally, save the assumptions with the result. The calculator above can encode purchase price, expected wear frequency, years kept, care costs, and resale value in a shareable link. A useful shared result should communicate the inputs, not only the final number, because disagreement usually comes from the forecast rather than the division. Revisit the estimate after actual wear accumulates. A calculator is most honest when it can be corrected by your real wardrobe behavior.

If you are still choosing a wardrobe workflow, the digital closet app comparison explains where cost-per-wear tracking fits beside outfit planning, packing, styling, and closet organization.