Nidecker Altai W 2023
35.5Only 1 piece in stock at third-party supplier
Colour3
Size6
Product details
The Altai W 2023 by Nidecker is a high-quality snowboard boot specifically designed for women. This boot combines top-notch features with support that is ideal for freeride enthusiasts. The construction of the Altai W not only offers comfort but also provides stability and control on the slopes. With an appealing design in the Cloud color group, characterized by an elegant white appearance, this boot is both functional and stylish. The shoe size 35.5 (EU) and the Mondopoint size 22 make it an excellent choice for a variety of foot shapes. Made in Vietnam, the Altai W reflects Nidecker's quality and commitment to creating products that meet the needs of snowboarders. This boot is the perfect equipment for anyone looking to fully enjoy snowboarding.
Exact colour description | Cloud |
Colour | White |
Target group | Women |
Item number | 23589139 |
Manufacturer | Nidecker |
Category | Snowboard boots |
Release date | 27.12.2022 |
Sales rank in Category Snowboard boots | 21 of 312 |
Colour | White |
Exact colour description | Cloud |
Target group | Women |
Shoe size (EU) | 35.5 |
Mondopoint size | 22 |
Country of origin | Vietnam |
CO₂-Emission | |
Climate contribution |
Ingredients | PU/TPU upper, EVA/rubber outsole. |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Snowboard boots» category have a defect within the first 24 months?
Source: Digitec Galaxus- 1.Burton0 %
- 1.Nidecker0 %
- 3.Nitro0.6 %
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- NideckerNot enough data
- BurtonNot enough data
- NitroNot 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 «Snowboard boots» category returned?
Source: Digitec Galaxus- 1.Nidecker34.4 %
- 2.Nitro44.7 %
- BurtonNot enough data


