Paul Green Halbschuhe
40Only 1 piece in stock at third-party supplier
Colour21
Size3
Product details
A loyal companion in the office and everyday life, this elegant lace-up shoe from Paul Green impresses not only with its style but also with its comfort. The high-quality upper made of suede and the interior made of breathable and moisture-regulating leather ensure a pleasant wearing experience. Thanks to the practical lacing, the shoe can be perfectly adjusted to fit any foot.
Exact colour description | Leopard, Leopard pattern, Leopardino Sahara 048 |
Material | Leather, Rubber, Suede |
Sole material | Rubber |
Target group | Women |
Shoe type | Low shoe leisure |
Item number | 60496980 |
Manufacturer | Paul Green |
Category | Lace-ups |
Manufacturer No. | 1136-40 |
Release date | 26.7.2025 |
Colour | Brown |
Exact colour description | Leopard, Leopard pattern, Leopardino Sahara 048 |
Upper | Leather, Suede |
Material | Leather, Rubber, Suede |
Sole material | Rubber |
Target group | Women |
Shoe type | Low shoe leisure |
Shoe size (EU) | 40 |
Toe | Round |
Country of origin | Bosnia and Herzegovina, Germany |
Sustainability label | Leather Working Group |
CO₂ emissions | 14.23 kg |
Climate contribution | CHF 0.34 |
Ingredients | Breathable leather. |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Lace-ups» category have a defect within the first 24 months?
Source: Digitec Galaxus- Paul GreenNot enough data
- 1.Geox0 %
- 1.Josef Seibel0 %
- 3.Hey Dude0.2 %
- 4.Bugatti0.3 %
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- Paul GreenNot enough data
- AffenzahnNot enough data
- BugattiNot enough data
- ClarksNot enough data
- Dr. MartensNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Lace-ups» category returned?
Source: Digitec Galaxus- Paul GreenNot enough data
- 1.Geox8.5 %
- 2.Skechers9.3 %
- 3.Ecco13.3 %
- 4.Pitas13.6 %




















