the data is not only US specific but also focuses on recent naming trends, with the first chart covering 2000-2024. In the US, Ashley has been overwhelmingly female since the late 1960s: https://nameplay.org/names/combined/popularity/Ashley#gender...

I have been working on an algorithm to combine names with pronunciations that overlap, based on ARPAbet phoneme representations from CMU dict + generated by LLMs. The data is still messy, because "creative" spellings are hard for LLMs to deal with: token overlap with primary names is frequently low, and spelling variations only exist because English has such a lax approach to phonics to begin with.

Here's Ryan with its spelling variations: https://nameplay.org/names/combined/popularity/Ryan

I have a follow-up post that covers "common" unisex names, which I arbitrarily defined as names with at least 25k births for both sexes. This one does have more of the names you were probably expecting to see: https://nameplay.org/blog/common-unisex-names-by-gender-rati...

The ranking for the linked post is based on a diversity index, which scores most highly for names closest to an exact 50-50 split. Hence framing it as the "most non-binary" of the unisex names. Admittedly this is more a statistical curiosity than a reflection of everyday life.