Michigan Light Grey Relaxed Elasticated Pants
Product essentials
- Material
- 100% upcycled linen
- Fit
- Generous fit, straight legs
- Made in
- Made in Romania
- Details
- Slanted front pocketsBack patch pocketsElasticated waist and interior drawstring on the front
The Michigan trousers have a generous straight fit set on an elasticated drawstring waist. The style is made from upcycled linen fabric. Slanted front pockets and back patch pockets keep the line functional.
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.
Documented productions
- Washing: Wash at 30°C or by hand to preserve the material and shape of your pieces. Turn your garment inside out to wash it inside out so as not to damage the fibers.
- Spinning: Do not tumble dry ! There is nothing better than drying in the open air and away from the sun, to preserve its material and its color.
- 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.