Use this when deciding whether to buy, keep, repair, replace or make more use of clothing based on your own wardrobe data.
What this tool is actually telling you
The arithmetic is straightforward, but future wears, resale value and lifespan are assumptions. The useful decision comes from comparing alternatives with the same assumptions.
The result depends on the assumptions you enter. Treat it as decision support rather than a universal rule.
Inputs that make the answer stronger
- Use realistic wear counts rather than idealized plans.
- Include recurring care or alteration costs when they materially affect ownership cost.
Worked example
A $120 item worn 60 times costs $2 per wear before care or resale. The same item worn only 12 times costs $10 per wear, showing why realistic use matters more than the purchase price alone.
How to use the result for a real decision
Compare the result with similar items you already own and ask whether the new item adds use-cases or mostly duplicates existing clothing.
Why the answer changes when your assumptions change
Wardrobe economics depend on future behavior: how often you wear the item, how long you keep it, care costs and whether it competes with similar pieces.
Sources and verification
Wardrobe economics use transparent arithmetic from the assumptions you enter; there is no external universal target for an ideal wardrobe.
Questions people ask
Is low cost per wear always better?
It is useful for comparing use and cost, but fit, safety, quality, repairability and personal value can matter too.
Should I use expected or actual wears?
Use expected wears for planning and replace them with actual wears over time.