Berber Moroccan Rug, 1990s

Details

Description

This large Moroccan Boujad rug is an authentic example of traditional Berber craftsmanship from the Haouz and Middle Atlas regions. … Read more This large Moroccan Boujad rug is an authentic example of traditional Berber craftsmanship from the Haouz and Middle Atlas regions. Handwoven using natural sheep wool, it features a softly faded palette of warm beige, muted pink, and subtle earthy tones, shaped over time through use and natural aging.
The composition is intentionally understated, allowing the texture, patina, and tonal depth of the wool to take center stage. Faint geometric traces remain visible beneath the surface, offering a quiet dialogue between heritage motifs and contemporary minimalism. This balance makes Boujad rugs particularly appreciated by collectors and interior designers seeking character without visual overload.
Its generous proportions and elongated format make this piece especially suitable for large living spaces, loft interiors, or long architectural rooms.
Interior Use & Styling
Ideal for large living rooms, open spaces, or loft interiors
Works beautifully in minimalist, wabi-sabi, and contemporary interiors
Complements neutral palettes, raw materials, wood, stone, and plaster
Can be used as a central statement rug or to structure long rooms
Technical Details
Origin: Morocco, Boujad region
Type: Handwoven Berber rug
Material: 100% natural sheep wool
Dimensions: 200 × 380 cm
Pile: Medium pile with soft, naturally worn texture
Colors: Beige, faded pink, subtle earth tones
Finish: Hand-finished edges with original fringes
Condition
Good vintage condition. The rug shows natural signs of age and use consistent with traditional Moroccan carpets, contributing to its authenticity and character. The wool remains healthy and the structure is stable. The surface displays a beautiful patina developed over time. This piece has an attribution mark,
I am sure that it is completely authentic and take full responsibility for any authenticity
issues arising from misattribution See less