I’m trying to make a table of shoe sizes. I would like to have a table that compares different brand’s sizes. For example:
I’m a 10 in Nike, so I look at the table and figure out I’m a 10.5 in Adidas. I would like to compare 19 different Brands and sizes 7-14. Is there any way I can do this??
The only thing I could think of was comparing all of the brands to one brand, but I will be gathering my data from people and they might only be able to compare it to a different brand.
Theoretically, shoe size can be directly correlated to actual foot length. Here’s a chart showing various international standards and actual foot length in centimeters. Perhaps you can use actual length as the standard and then show discrepancies between various manufacturers
ya but I don’t want to have to have people measure their feet, i guess i could… unless there is a way to do what i want…
I guess the only way you can do this is empirically. As Darryl Lict said, shoe size is, for any given system, a function of foot length or the length of the last traditionally used to make the shoe (Wiki lists the algorithms to convert last/foot length to shoe size). But this only works in theory; as you noticed, actual shoe sizes might differ between brands even within the same system.
Maybe you can start by taking a look at your own shoes and determining which size fits you within a company’s own convention. Ask a few friends (“What’S your shoe size in Nike? And what about Adidas?”); it might strike them as a bit odd, but one has to suffer for science’s sake, and at least they won’t have to measure their feet. When you collected enough data, you might be able to sort out that, for example, a given manufacturer is always half a number out of synch.
I really love the catalogs from Roadrunner Sports because they do such a good job of defining the important aspects of the shoe to help you select the best shoe for your foot. They define these relevant features for each shoe. They also give sizing recommendations for each individual shoe, which I have always found to be spot-on. As an example, I had worn the original Adidas Boston shoes for years, and always wore a size 8.5. When Adidas changed it to a crap redesign which they abandoned after a year and came back with the Boston Classic the following year, Roadrunner Sports told me to buy a half size up from my usual sizing. Thinking that I knew the shoe, I ignored them, and ordered 8.5. Sure enough, they were too small, and I ended up returning them and getting the size 9.
Not quite what you were asking for, but I thought you’d find the info there interesting.
This may be a lot more complicated than you realize. You may find that there are variations not only among brands, but also among different styles within the same brand. Individual foot shape, such as a having a narrow heel, can also have a bearing on one’s fit relative to brand and size. I question whether it’s possible to make a table such as you propose that’s accurate for everybody. I certainly suspect it would require sorting out and organizing a heck of a lot of data. And even then, experience has taught me that one is never sure until the shoe is actually worn.