Shoe Size Conversion
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How it works
Shoe sizing uses different scales by region. US men's size 10 ≈ EU 43 ≈ UK 9 ≈ 27.5 cm. Women's US sizes run about 1.5 sizes larger than men's for the same foot length. EU sizes represent foot length in Paris Points (⅔ cm). Always measure both feet in the afternoon (feet swell during the day) and fit to the larger foot. Width designations (B, D, E, EE) vary by brand.
Input guidance
- Confirm date/time/unit settings before comparing outputs.
- If a task has optional fields, run both with and without them to understand impact.
- Save scenario variants when making practical decisions.
The formula
Shoe sizes map to foot length, but scales differ. US, UK, and EU systems use different increments, so conversion relies on length-based size charts.
Worked example
A US men's size 9 is roughly a UK 8.5 and an EU 42.5, corresponding to a foot about 27 cm long.
More examples to test
- Quick-pass example: run default assumptions for a first estimate.
- Refined example: update one assumption at a time to isolate impact.
How to interpret results
Use outputs as operational estimates and pair them with local constraints, business rules, or provider requirements.
When this can be inaccurate
Utilities can miss local policy details, special-case rules, and environment-specific constraints.
Change history
- July 2026: Quality-reviewed for publication with formula checks and explanatory copy updates.
Site-wide corrections also appear on the corrections log.
Find productivity tools for everyday workflows
General recommendation, not professional advice.
Frequently asked questions
Why don't shoe sizes match across countries?+
Each region uses its own scale and starting point. The reliable common factor is foot length in centimeters, which charts convert from.
How do I measure my foot?+
Stand on paper, mark heel to longest toe, and measure the length in centimeters, then match it to the size chart for each region.
Do men's and women's sizes differ?+
Yes. US women's sizes are typically about 1.5 sizes higher than men's for the same foot length.
Why are outputs slightly different from another tool?+
Different tools can use different rounding rules, default assumptions, and treatment of edge cases.
How can I improve estimate reliability?+
Use verified inputs from real records and re-run calculations after major assumption changes.