Kaffe Lea
48Colour
Size
Product details
The Lea pants by Kaffe combine comfort and style in a regular fit design. They are ideal for everyday wear and feature an ankle-length fit that can be styled in various ways. The fabric composition ensures a pleasant wearing experience and optimal freedom of movement. With a high proportion of polyester, cotton, and viscose, the pants are both durable and soft against the skin. The elastic properties of the fabric provide additional comfort, while the simple elegance of the pants makes them a timeless piece that fits into any wardrobe.
- Regular fit for optimal wearing comfort
- Ankle length for versatile styling options
- High-quality fabric composition for durability
- Elastane content ensures freedom of movement.
Cut | Regular |
Exact colour description | midnight navy |
Material composition | 2% spandex, 30% cotton, 30% viscose, 38% polyester |
Target group | Women |
Item number | 60582955 |
Manufacturer | Kaffe |
Category | Casual trousers |
Manufacturer no. | 10505191-194020 |
Release date | 28.7.2025 |
Exact colour description | midnight navy |
Material composition | 2% spandex, 30% cotton, 30% viscose, 38% polyester |
Target group | Women |
Trouser size | 48 |
Cut | Regular |
Special sizes | Normal size |
Country of origin | France |
CO₂-Emission | |
Climate contribution |
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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- KaffeNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
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- KaffeNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- DockersNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- KaffeNot enough data
- 1.Name it4.3 %
- 2.Erwin Müller6.3 %
- 3.Vertbaudet6.8 %
- 4.Switcher9.8 %