Vila High Waist Trousers with Wide Leg

44
Ratings
Delivered between Wed, 18.6. and Fri, 20.6.
8 items in stock at third-party supplier
Supplied by

Product details

Great choice! These trousers are versatile - use them for any occasion.

  • Product Type : Wide-leg trousers
  • Waist : High waist
  • Fit : Wide Leg Fit.

Key specifications

Cut
loose fit
Exact colour description
Dubarry
Material composition
66% polyester, 28% viscose, 6% elastane
Trouser type
Chino/Cloth trousers
Item number
49789278

General information

Manufacturer
Vila
Category
Casual trousers
Release date
27.9.2024

Colour

Colour
Rose
Exact colour description
Dubarry

Material

Material composition
66% polyester, 28% viscose, 6% elastane

Target group

Target group
Women

Clothing properties

Trouser type
Chino/Cloth trousers
Clothing size
44
Cut
loose fit
flange height
Cheer
Trouser style length
Long
Fastener
Zip
Pockets
Side pockets
Style
Casual
Pattern
Unicoloured
Special sizes
Normal size

Cleaning

Washing instructions
Do not bleach, Do not tumble dry, Ironing at low temperature

Origin

Country of origin
China

Voluntary climate contribution

CO₂-Emission
Climate contribution

30-day right of return and free return shipment
24 Months Warranty (Bring-in)

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Reviews & Ratings

Warranty score

How often does a product of this brand in the «Casual trousers» category have a defect within the first 24 months?

Source: Digitec Galaxus
  • Vila
    Not enough data
  • 1.Alberto
    0 %
  • 1.Blend
    0 %
  • 1.Dockers
    0 %
  • 1.La Redoute Collections
    0 %

Warranty case duration

How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?

Source: Digitec Galaxus
  • Vila
    Not enough data
  • 1.Jack & Jones
    0 days
  • Alberto
    Not enough data
  • Blend
    Not enough data
  • Dockers
    Not enough data

Return rate

How often is a product of this brand in the «Casual trousers» category returned?

Source: Digitec Galaxus
  • Vila
    Not enough data
  • 1.Name it
    4.3 %
  • 2.Erwin Müller
    5.2 %
  • 3.Pieces
    6.3 %
  • 3.Vertbaudet
    6.3 %
Source: Digitec Galaxus