Multigender Combination Frequency Map
I got bored, so I started playing around with numbers. I was curious, what is the most common multigender combination that exists? As a specific example, are agender men more common than non-binary women? Well thanks to the gender census 2024 data, I found that out:
Ordered from least to most common, the percentage of census participants that identified as:
Agender Woman | 0.02%
Agender Non-Binary Woman | 0.15%
Just a Woman | 0.24%
Agender Man | 0.36%
Agender Man Woman | 0.37%
Non-Binary Woman | 0.73%
Just a Man | 1.71%
Agender Man Non-Binary | 2.02%
Man Woman | 2.74%
Just Agender | 2.99%
Agender Man Non-Binary Woman | 3.84%
Man Non-Binary | 6.16%
None of these umbrellas OR did not answer gender identity related questions | 10.46%
Man Non-Binary Woman | 12.89%
Agender Non-Binary | 13.97%
Just Non-Binary | 41.34%
Individuals who only identify with one umbrella: 46.28%
Individuals who identify with multiple umbrellas: 43.25%
Unknown: 10.46%
This is a map (where pink = highest in frequency, and blue = lowest in frequency) that represents the order of frequency based on the values above. To help explain:
Agender Woman = #1 = very blue,
Agender Non-Binary Woman = #2 = blue
Non-Binary = #15 = very pink
Agender = #10 = both pink and blue (purple)
For some reason, agender women don't exist (joke). I have some theories of why this is the case but it's probably a bit too political for Tumblr lol. Many individuals seem satisfactory as describing themselves as off the binary, or off the binary and slightly agender. Only 2% of queer individuals identify as just one binary gender. Essentially, multigendered-ness is very common, alongside identifying as non-binary.
It is not representative of the general populace, it is representative of individuals who are not solely cisgender binary (as according to the census description). For example, do not take this as "Wow, only 1.71% of the human population are just men!". Instead, take this as "Wow, only 1.71% of genderqueer individuals are just men!".
This is how I found these numbers.
1. I copied the raw data from gender census form.
2. I created a filter that checked for any mention of man, woman, non-binary, agender, AND their variants such as guy, enby, genderless, etc. I removed any mentions of "Not man", "non woman", etc. as these anti- terms are too ambiguous to work with for this specific research. (thank you for existing, regex)
3. I simplified these terms into just woman, man, non-binary, or agender. I realise that some individuals identify as boys and not men specifically, but for the sake of this research - we're looking at the overall gender umbrella, not the specific language used.
4. I created a count for each possible combination of these four genders.
5. I divided each count out of the total results to get the percentage.
P.S. Thanks to my Discord server members for helping me test out the concept with a smaller sample.
