Detroit Dark Blue Tapered Trousers
Available in stores
Product essentials
- Material
- 72% organic cotton, 28% linen
- Fit
- Tailored straight leg, mid rise, ankle length
- Made in
- Made in Romania
- Details
- Belt loopsFront slanted pocketsBack welt pocketZip flyMilk-based button
- Lining
- Pocket lining: 100% OCS-certified organic cotton
The Detroit trousers have a tapered, flat-front cut with a mid rise and ankle length. The style is made from organic cotton and linen seersucker, woven in Italy. Slanted front pockets and back welt pockets keep the line clean.
Orders are prepared within 24 hours. Delivery time depends on the carrier and destination.
If you are unsure about sizing, contact the store or email us at shop@noyoco.com.
You have 30 days from the order date to return an item. Our returns portal is available here.
Discover its
History
From fabric to final assembly, each production is documented. Discover where and when this piece was made.
- Washing: Wash at 30°C or by hand to preserve the fabric and shape of your garments. Turn your garment inside out to avoid damaging the fibers.
- Spinning: Do not tumble dry. Air-dry away from direct sunlight to preserve the fabric and colour.
- Ironing: You can iron at medium temperature (150°C).
ENVIRONMENTAL IMPACT
The NOYOCO brand
We prioritise natural materials. Depending on the garment, some fabrics come from existing stocks or specialist upcycling sources; others are developed by European spinners and weavers.
The available composition and origin are specified on each product page. When information is not verified, we leave it out.
The collections are conceived in Paris. Depending on the garment, development, fitting, manufacturing and quality control involve our team in Bucharest and European partners.
The manufacturing location varies from one product to another and is stated when documented.
The verified information specific to each garment appears on its product page and, when available, in its passport: composition, fabric origin, manufacturing location and production data.
Missing data is hidden rather than filled in by assumption.