Vintage Moroccan Rug - 3'9" × 8'9"- TO6006
VINTAGE MOROCCAN RUG Rug Description This beautiful vintage Moroccan rug is handwoven by Berber artisans and showcases an intricate all-over composition of geometric motifs arranged in carefully balanced horizontal bands. Soft, naturally faded shades of warm sand, blush peach, terracotta, muted coral, ivory, and light taupe create a refined palette with the authentic patina that only decades of use and natural aging can achieve. The repeating Amazigh motifs are traditionally associated with protection, prosperity, harmony, and the continuity of life. The richly patterned design reflects the artistic heritage of Moroccan tribal weaving, while the naturally softened colors give the rug a quiet elegance and timeless character. Every detail tells the story of generations of craftsmanship, making each piece truly unique. Hand-knotted from organic wool, this one-of-a-kind vintage rug blends authentic Moroccan heritage with understated sophistication. Its elongated proportions make it an excellent choice for hallways, living rooms, dining spaces, bedrooms, or layered interiors. It complements Mediterranean, organic modern, rustic, traditional, wabi-sabi, farmhouse, and collector-inspired interiors beautifully. Rug Specifications Dimensions: 115 × 266 cm / 3'9" × 8'9" (approximately) Material: Organic Wool Pile: Thin Pile Made: Handmade in Morocco Disclaimer Subtle variations in weaving, asymmetry of the geometric motifs, irregular edges, and natural color variations are authentic characteristics of genuine handmade vintage Beni Ourain rugs. These unique details reflect their artisanal craftsmanship and make every piece truly one of a kind. Please Note This rug is shipped directly from Morocco. Delivery times may be longer than items available from our Montreal location. Import duties, customs fees, and local taxes may apply and are the responsibility of the buyer.
Variants (1)
- Default Title — 652.00 USD — In stock
How AI sees this product
The more complete this product's details, the more confidently AI assistants can understand and recommend it.