Rauch Hagen 4 Drawer Chest Rauch
Colourbrown
Size
Any Size
85.0 H x 48.0 W x 43.0 D cm
85cm H X 48cm W X 43cm D
1 Stores
- Colour: brown
- Size: 85.0 H x 48.0 W x 43.0 D cm
- item not available
- new
Description
Rauch Features:
- Drawer unit
- Wood Construction Type Details: Chipboard
- Wood Species: Chipboard
- Product Type: Chest of Drawers
- Material: Solid Wood
- Material Details: Chipboard
- Manufactured Wood Type:
- Metal Finish Application:
- Wood Species:
- Wood Construction Type: Other
- Colour: Brown
- High Gloss: No
- Mirrored Finish: No
- Drawers Included: Yes
- Number of Drawers: 4
- Drawer Glide Mechanism: Roller Glides
- Drawer Runner Material:
- Soft Close Drawer Runners: Yes
- Felt Lined Drawers:
- Dovetail Drawer Joints:
- Multiple Drawer Sizes?:
- Handle Colour: Silver
- Doors Included: No
- Number of Doors:
- Number of Interior Shelves:
- Style: Modern & Contemporary
- Country of Origin: Germany
- Non-Toxic: Yes
- Built-in Lighting: No
- Upholstered: No
- BS 5852 Certified:
- Sustainably Sourced Wood Certifications or Reclaimed Wood:
- FSC Certified:
- PEFC Certified:
- ITTO Compliant:
- Reclaimed Wood:
- SFI Certified:
- Recycled Content: Yes
- Total Recycled Content (Percentage):
- Post-Consumer Content (Percentage):
- Remanufactured/Refurbished:
- Overall Height - Top to Bottom: 85
- Overall Width - Side to Side: 48
- Overall Depth - Front to Back: 43
- Drawers: Yes
- Drawer Interior Height - Top to Bottom:
- Drawer Interior Width - Side to Side:
- Main Drawer Interior Depth - Front to Back:
- Main Drawer Weight Capacity:
- Shelves:
- Shelf Height - Distance Between Shelves:
- Shelf Width - Side to Side:
- Shelf Depth - Front to Back:
- Shelf Weight Capacity:
- Overall Product Weight: 27.776
- Assembly required
- Assembly Required: Yes
- Suggested # of People:
- Estimated Time to Assemble:
- Estimated Time to Assemble [Internal]:
- Additional Tools Required:
- Avoid Power Tools:
- # of Pieces to be Assembled:
- # of Hardware Pieces Included:
- # of Steps Required:
- Estimated Time to Assemble [Data Science]:
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