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Gaspillage Fast Fashion Cumulé — Outil en ligne gratuit

4 800 vêtements achetés, 1 440 réellement portés — tu gaspilles le reste

Calcule tes achats de vêtements vs utilisation réelle sur ta vie. Un Français achète 60 pièces/an, en porte 30 % régulièrement. Gratuit.

Your buying habits

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En savoir plus

Lifetime Fast Fashion Footprint

Sources: Greenpeace 2024 Detox Campaign, UNEP 2024 Apparel Industry Report, Earth.org 2024, Ellen MacArthur Foundation. Average German buys 60 garments/year, wears each ~7 times. Apparel = 8-10% of global emissions. The lifetime money + CO2 + textile waste compounds shockingly.

How to use this tool

  1. 1

    Buying pattern

    Items per year + average price.

  2. 2

    Wear pattern

    How many items you actually wear.

  3. 3

    See the waste

    € wasted + textile mass + CO2 footprint.

Frequently Asked Questions

Are these numbers realistic?
Yes. Greenpeace 2024: average German buys 60 garments/year, wears each ~7 times before disposal. Earth.org 2024: 30% of bought items never worn at all. Across a 60-year buying career, that's 4,800 items, 0.5 tons of textile waste, ~30 tons of CO2 from fast-fashion alone.
Why does fast fashion produce so much CO2?
Cotton irrigation + synthetic fiber petroleum + dyeing (toxic) + transport (often shipped 3+ times before sale) + disposal. Apparel + footwear = 8-10% of global emissions (UNEP 2024), more than aviation + shipping combined. Each €30 t-shirt = ~7 kg CO2 + 2,700L water.
Where does it actually go?
85% to landfill or incineration globally. Europe ships ~15% to Africa (Kantamanto market in Ghana, the largest second-hand market, processes 40% of EU castoffs). Local communities are overwhelmed. Microfibers from washing pollute waterways for centuries. The "donate it" feeling is mostly an illusion.
How to dramatically cut?
Concrete: (1) "Wear ratio" rule — never buy if you can't wear it 30+ times. (2) Capsule wardrobe (30 items per season, mix-and-match) cuts purchases by 70%. (3) Buy second-hand first (Vinted, eBay, charity shops). (4) Repair before replacing. Combined: 80% reduction in lifetime fashion footprint.

À retenir

  • Lifetime Fast Fashion Waste is a free, browser-based calculator tool — 4,800 garments bought, 1,440 actually worn — you waste the rest.
  • Non signup, no downloads, no file uploads — your data stays on your device.
  • Works on desktop, tablet, and mobile. Install as a PWA for offline access.

How to Use Lifetime Fast Fashion Waste

  1. Open the tool: Launch Lifetime Fast Fashion Waste on Outilolis — no account or download needed.
  2. Enter your data: Paste text, enter values, or select a file directly in your browser.
  3. Get instant results: Everything is processed locally — results appear immediately.
  4. Copy or download: Save your output or share it. Bookmark for quick access next time.

Lifetime Fast Fashion Waste — Quick Facts

Prix
Gratuit — sans limites, sans filigrane, sans paywall
Confidentialité
100% dans le navigateur — aucune donnée n’est envoyée à un serveur
Plateforme
Tout navigateur moderne — desktop, tablette ou mobile
Catégorie
Calculateur Outils on Outilolis
Hors ligne
Works offline after first visit (Progressive Web App)
CaractéristiqueDétails
OutilLifetime Fast Fashion Waste
CatégorieCalculateur
Inscription requiseNon
Téléversement de fichierAucun — traité dans le navigateur
Compatible mobileEntièrement adaptatif
CoûtGratuit pour toujours

Why Use Lifetime Fast Fashion Waste?

You should try Lifetime Fast Fashion Waste for a quick, private way to 4,800 garments bought, 1,440 actually worn — you waste the rest. All processing happens in your browser. Your files and data never leave your device. According to web.dev, client-side processing is the gold standard for privacy.

On the other hand, dedicated APIs or desktop tools suit batch processing better. They also handle server-side automation. For everyday tasks, browser tools offer the best speed, privacy, and convenience.

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100% Confidentialité. Cet outil fonctionne entièrement dans votre navigateur. Vos données ne sont jamais envoyées à un serveur.