Color Survey Results

Who in the rainbow can draw the line where the violet tint ends and the orange tint begins? Distinctly we see the difference of the colors, but where exactly does the one first blendingly enter into the other? So with sanity and insanity.
—Herman Melville, Billy Budd

Orange, red? I don’t know what to believe anymore!
—Anonymous, Color Survey

—Anonymous, Color Survey

Thank you so much for all the help on the color survey.  Over five million colors were named across 222,500 user sessions.  If you never got around to taking it, it’s too late to contribute any data, but if you want you can see how it worked and take it for fun here.

First, a few basic discoveries:

  • If you ask people to name colors long enough, they go totally crazy.
  • “Puke” and “vomit” are totally real colors.
  • Colorblind people are more likely than non-colorblind people to type “fuck this” (or some variant) and quit in frustration.
  • Indigo was totally just added to the rainbow so it would have 7 colors and make that “ROY G. BIV” acronym work, just like you always suspected. It should really be ROY GBP, with maybe a C or T thrown in there between G and B depending on how the spectrum was converted to RGB.
  • A couple dozen people embedded SQL ‘drop table’ statements in the color names. Nice try, kids.
  • Nobody can spell “fuchsia”.

Overall, the results were really cool and a lot of fun to analyze.  There are some basic limitations of this survey, which are discussed toward the bottom of this post.  But the sheer amount of data here is cool.


By a strange coincidence, the same night I first made the color survey public, the webcomic Doghouse Diaries put up this comic (which I altered slightly to fit in this blog, click for original):

It was funny, but I realized I could test whether it was accurate (as far as chromosomal sex goes, anyway, which we asked about because it’s tied to colorblindness) [Note: For more on this distinction, see my follow-up post]. After the survey closed, I generated a version of the Doghouse Diaries comic with actual data, using the most frequent color name for the handful of colors in the survey closest to the ones in the comic:

Basically, women were slightly more liberal with the modifiers, but otherwise they generally agreed (and some of the differences may be sampling noise).  The results were similar across the survey—men and women tended on average to call colors the same names.

So I was feeling pretty good about equality.  Then I decided to calculate the ‘most masculine’ and ‘most feminine’ colors.  I was looking for the color names most disproportionately popular among each group; that is, the names that the most women came up with compared to the fewest men (or vice versa).

Here are the color names most disproportionately popular among women:

  1. Dusty Teal
  2. Blush Pink
  3. Dusty Lavender
  4. Butter Yellow
  5. Dusky Rose

Okay, pretty flowery, certainly.  Kind of an incense-bomb-set-off-in-a-Bed-Bath-&-Beyond vibe.  Well, let’s take a look at the other list.

Here are the color names most disproportionately popular among men:

  1. Penis
  2. Gay
  3. WTF
  4. Dunno
  5. Baige

I … that’s not my typo in #5—the only actual color in the list really is a misspelling of “beige”.  And keep in mind, this is based on the number of unique people who answered the color, not the number of times they typed it.  This isn’t just the effect of a couple spammers. In fact, this is after the spamfilter.

I weep for my gender.  But, on to:

RGB Values

Here are RGB values for the first 48 out of about a thousand colors whose RGB values (across the average monitor, shown on a white background) I was able to pin down with a fairly high degree of precision:

The full table of 954 colors is here, also available as a text file here (I have no opinion about whether it should be used to build a new X11 rgb.txt except that seems like the transition would be a huge headache.)

The RGB value for a name is based on the location in the RGB color space where there was the highest frequency of responses choosing that name.  This was tricky to calculate.  I tried simple geometric means (conceptually flawed), a brute force survey of all potential center points (too slow), and fitting kernel density functions (math is hard). In the end, I used the average of a bunch of runs of a stochastic hillclimbing algorithm.  For mostly boring notes on my data handling for this list, see the comments at the bottom of the page.

Spelling and Spam

Spelling was an issue for a lot of users:

Now, you may notice that the correct spelling is missing.  This is because I can’t spell it either, and when running the analysis, used Google’s suggestion feature as a spellchecker:

A friend pointed out that to spell it right, you can think of it as “fuck-sia” (“fuch-sia”).

Misspellings aside, a lot of people spammed the database, but there were some decent filters in place.  I dropped out people who gave too many answers which weren’t colors used by many other people.  I also looked at the variation in hue; if people gave the same answer repeatedly for colors of wildly varying hue, I threw out all their results.  This mainly caught people who typed the same thing over and over.  Some were obviously using scripts; based on the filter’s certainty, the #1 spammer in the database was someone who named 2,400 colors—all with the same racial slur.


Here’s a map of color boundaries for a particular part of the RGB cube.  The data here comes from a portion of the survey (1.5 million results) which sampled only this region and showed the colors against both black and white backgrounds.

The data for this chart is here (3.6 MB text file with each RGB triplet named).  Despite some requests, I’m not planning to make a poster of any of this, since it seems wrong to take advantage of all this volunteer effort for a profit; I just wanted to see what the results looked like.  You’re welcome to print one up yourself (huge copy here), but keep in mind that print color spaces are different from monitor ones.

Basic Issues

Of course, there are basic issues with this color survey.  People are primed by the colors they saw previously, which adds overall noise and some biases to the data (although it all seemed to even out in the end).  Moreover, monitors vary; RGB is not an absolute color space.  Fortunately, what I’m really interested in is what colors will look like on a typical monitors, so most of this data is across the sample of all non-colorblind users on all types of monitors (>90% LCD, roughly 6% CRT).

Color is a really fascinating topic, especially since we’re taught so many different and often contradictory ideas about rainbows, different primary colors, and frequencies of light. If you want to understand it better, you might try the neat introduction in Chapter 35 ofThe Feynman Lectures on Physics (Vol. 1), read Charles Poynton’s Color FAQ, or just peruse links from the Wikipedia article on color.  For the purposes of this survey, we’re working inside the RGB space of the average monitor, so this data is useful for picking and naming screen colors. And really, if you’re reading this blog, odds are you probably—like me—spend more time looking at a monitor than at the outdoors anyway.


Lastly, here are some assorted things people came up with while labeling colors:

Thank you so much to relsqui for writing the survey frontend, and to everyone else who sacrificed their eyeballs for this project.  If you have ideas and want to analyze these results further, I’ve posted the raw data as an SQLite dump here (84 MB .tar.gz file). It’s been anonymized, with IPs, URLs, and emails removed.  I also have GeoIP information; if you’d like to do geocorrelation of some kind, I’ll be providing a version of the data with basic region-level lat/long information (limited to protect privacy) sometime in the next few days. Note: The ColorDB data is the main survey.  The SatOnly data is the supplementary survey covering only the RGB faces in the map, and was presented on a half-black half-white background.)

And, of course, if you do anything fun with this data, I’d love to see the results—let me know at

1,287 thoughts on “Color Survey Results

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  4. I really enjoyed taking this survey, but I see my data must have spammed (no idea why) as my correct spelling of fuchsia didn’t make it through… sorry, though I doubt it would have changed your results but slightly, likely not significantly. I’m a 63 yr old male and probably used a bit more “florid” naming than the male average; can’t help that, being gay, ha ha… And yes, Mara, et al., I did use chartreuse where it seemed appropriate. I got this link via Doghouse Diaries, which I am enjoying very much, and I’ve liked xkcd for quite a while, too, though I’m not a math genius, only 678 on SAT, so sometimes it gets just a tad over my head. And that’s a good feature: I enjoy challenges of this sort. So, thanks to all at both sites!


  5. Fascinating! It would also be interesting to repeat this for speakers of languages other than English, as it’s well documented that expression of colour is tied to language and culture. I have read somewhere that the distinction between green and blue is particularly variable in this regard.


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  7. You’ve mentioned that the RGB space isn’t absolute because monitors differ but I wish that there’d been some discussion of the fact that everyone SEES colours slightly differently – I think that’s the most interesting part of anything like this


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  10. Funny that in English “fuchsia” is pronounced so weirdly… in Dutch it is indeed “fuck-sia”. In fact our most famous childrens’ books author and songwriter wrote a song which takes advantage of that fact, back in the days when most Dutch ppl didn’t speak English so it could fly below the radar…


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  12. You comment to say that you won’t make a poster because of benefiting from the hard work of others. Well, fair enough, but for next time, nominate a charity where, if your research leads to any money being made you’ll give your profits to that charity.
    Or don’t nominate a charity, just say that you’ll pick one that you like.

    It seems a shame not to generate something which people want because you might benefit, when they still want it, and some charity could benefit.

    In this case I am sure that there are charity’s for blind (or colour blind) people that would somehow seem apt.




  13. I think that this color data will be far more useful for designing websites than taking my clients to Home Depot and looking through the paint section for the right colors…


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  15. Twitch. Twitch. I recently discovered, excessive American spelling makes English people start to dribble sanity out of their ears. You know its bad when you start to almost believe you are actually spelling it wrong but just can’t tell. Colour. Damn you red dotty line, that is right! Other topics, ❤ you Mr. XKCD, you are where a great deal of my time goes, and it is time well spent 🙂


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  18. My husband and I have an ongoing disagreement about the proper name for the classic highliter color. I say it’s Flourescent Yellow, whilst he calls it Flourescent Green. It is So. Clearly. Yellow. I don’t know what’s wrong with him. He calls lemon-lime Gatorade “green Gatorade” too. The 1st time he sent me into a store to get him “green Gatorade” I brought him green apple flavor and was perplexed at why he was so upset, it was green colored after all.


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  20. Mary: your husband might be colorblind, like me. Ask him to try an online test.


  21. Funfact about genders and color: While men only had to distinguish enough to tell the difference between animals and their surroundings, a woman’s inability to distinguish between egg-shell and ivory could mean the difference between bringing home a poisonous berry and an edible one.

    So it makes since that women are generally more able to see subtle differences in shade than the average male.


  22. /v/ tries to work out the difference between green and yellow.

    Think you guys might enjoy.


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  24. It seems the survey has been removed (404 not found when i click the link “to take it for fun”). I would really like for my girlfriend and myself to take it, so we can actually know what the other is talking about. Is there still any way to accomplish this? Would there be any way to get it to display our personal answers in a cool map similar to that?


  25. I just read a statistics in a game “Bejeweled” and it appears that I destroy more yellow gems on it. It leads me to question: does my eyes notice yellow first and does that have something to do with me being a woman?
    To people, who say, that perhaps I like yellow the most: no, I don’t. I actually almost hate it. The colour of a urine, you know:D


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