SKU: 94369776193

Vintage USA Map Rug | 6 × 9 ft | Living Room

Sale price$148.50 Regular price$165.00
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Description

Vintage USA Map Rug | 6 × 9 ft | Living RoomThe Vintage USA Map Rug brings together geography, memory, and Americana in a warm, illustrated form. Familiar state outlines are softened by earthy tones, woodland motifs, and quiet symbols of travelsuggesting a country shaped as much by stories as by borders. Designed to anchor a living room, this rug feels nostalgic without being literal. It invites curiosity and reflection, offering a grounded visual presence that complements wood textures,

The Vintage USA Map Rug brings together geography, memory, and Americana in a warm, illustrated form. Familiar state outlines are softened by earthy tones, woodland motifs, and quiet symbols of travel—suggesting a country shaped as much by stories as by borders.

Designed to anchor a living room, this rug feels nostalgic without being literal. It invites curiosity and reflection, offering a grounded visual presence that complements wood textures, neutral seating, and warm interior palettes.

Crafted from premium faux cashmere with a soft, matte finish, the surface feels comfortable underfoot while maintaining a refined, modern look. Reinforced overlock stitching preserves the shape over time, and a non-slip backing keeps the rug steady for everyday living.

Produced in the USA at our Los Angeles workshop, each rug is made to order and ships within 72 hours. Factory-direct production allows us to deliver a design-forward rug at a fair, accessible price—without overseas delays.


Product Features

USA map–inspired vintage illustration with woodland motifs
Warm, earthy color palette for a timeless look
Premium faux cashmere with soft, wool-feel texture
Matte finish for a refined, non-glossy appearance
Reinforced overlock stitching for long-term durability
Anti-slip backing for everyday stability


📐 Product Details

Primary Room: Living Room
Size: 6 × 9 ft
Shape: Rectangular Rug
Material: Faux Cashmere (Wool-Feel Polyester)
Surface Weight: 1100 GSM
Edge Finish: 0.8 cm overlock stitching
Backing: Anti-slip backing
Production: Made in USA (Los Angeles)


📦 Estimated Packed Weight

     12 lbs


🧼 Care Instructions

Vacuum regularly using low suction
Spot clean with mild detergent
Air dry only
Do not bleach or machine wash


⚠️ Important Notes

Minor size variations (1–2 inches) may occur due to stitching and finishing.

Colors and pattern appearance may vary slightly depending on lighting and pile direction.

Intended for indoor living room use only.

Shipping Notes
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Exchange/Return Notes
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SKU: 94369776193

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Zay
Birmingham, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Fort Morgan, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Fort Morgan, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
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Frank Gonzalez
Houston, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Natrona Heights, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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