Wock Reblack Video
Fechar

Black City Shoe Semi Orthopedic

Black City Shoe Semi Orthopedic

Brand:ARCOPÉDICO
Product Code:2071-01
EAN: N/A
Availability:In Stock
    • Starting From 44.10€

    • 49.00€
    • Ex Tax: 35.85€

  • Válido de 01/12/2024 a 01/01/2025

Available Options

Reset options

The New Sec model from Arcopédico is a classic shoe that has a reputation for comfort dating back to 1966. Try them on and see the difference they make to your feet. They are soft, breathable, with elastic on the edge for a better fit to the foot, with an anatomical insole and arch design and a non-slip rubber sole. This shoe is very suitable for people with swollen feet because they are very malleable and the elastic adapts to the size of the foot. Washable up to 30º.

The Relax line is distinguished by the use of a special elastic fabric, “elastane”, throughout the upper part of the shoe, allowing total freedom to the foot. Due to its bi-elastic behaviour, which guarantees a controlled volumetric density, a unique reinforcing fabric, the “knit”, is used, which contrasts with the high elasticity in both directions of the “elastane”. With this combination, ARCOPEDICO ensures a unique shoe, specially created to be the lightest upper the foot can experience.

The delivery of this product will take around 4/15 working days.

Strictly Required Cookies

These cookies are required for the website to run and cannot be switched off. Such cookie are only set in response to actions made by you such as language, currency, login session, privacy preferences. You can set your browser to block these cookies but our site may not work then.

Analytics & Statics

These cookies are usually set by our marketing and advertising partners. They may be used by them to build a profile of your interest and later show you relevant ads. If you do not allow these cookies you will not experience targeted ads for your interests.

Marketing and Retargeting

These cookies allow us to measure visitors traffic and see traffic sources by collecting information in data sets. They also help us understand which products and actions are more popular than others.